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Publisher: Emerald   (Total: 356 journals)

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Showing 1 - 200 of 356 Journals sorted alphabetically
A Life in the Day     Hybrid Journal   (Followers: 12)
Academia Revista Latinoamericana de Administración     Open Access   (Followers: 2, SJR: 0.178, CiteScore: 1)
Accounting Auditing & Accountability J.     Hybrid Journal   (Followers: 32, SJR: 1.71, CiteScore: 3)
Accounting Research J.     Hybrid Journal   (Followers: 25, SJR: 0.144, CiteScore: 0)
Accounting, Auditing and Accountability J.     Hybrid Journal   (Followers: 25, SJR: 2.187, CiteScore: 4)
Advances in Accounting Education     Hybrid Journal   (Followers: 17, SJR: 0.279, CiteScore: 0)
Advances in Appreciative Inquiry     Hybrid Journal   (Followers: 1, SJR: 0.451, CiteScore: 1)
Advances in Autism     Hybrid Journal   (Followers: 32, SJR: 0.222, CiteScore: 1)
Advances in Dual Diagnosis     Hybrid Journal   (Followers: 47, SJR: 0.21, CiteScore: 1)
Advances in Gender Research     Full-text available via subscription   (Followers: 5, SJR: 0.16, CiteScore: 0)
Advances in Intl. Marketing     Full-text available via subscription   (Followers: 6)
Advances in Mental Health and Intellectual Disabilities     Hybrid Journal   (Followers: 83, SJR: 0.296, CiteScore: 0)
Advances in Mental Health and Learning Disabilities     Hybrid Journal   (Followers: 30)
African J. of Economic and Management Studies     Hybrid Journal   (Followers: 10, SJR: 0.216, CiteScore: 1)
Agricultural Finance Review     Hybrid Journal   (SJR: 0.406, CiteScore: 1)
Aircraft Engineering and Aerospace Technology     Hybrid Journal   (Followers: 211, SJR: 0.354, CiteScore: 1)
American J. of Business     Hybrid Journal   (Followers: 18)
Annals in Social Responsibility     Full-text available via subscription  
Anti-Corrosion Methods and Materials     Hybrid Journal   (Followers: 11, SJR: 0.235, CiteScore: 1)
Arts and the Market     Hybrid Journal   (Followers: 9)
Asia Pacific J. of Innovation and Entrepreneurship     Open Access   (Followers: 1)
Asia Pacific J. of Marketing and Logistics     Hybrid Journal   (Followers: 8, SJR: 0.425, CiteScore: 1)
Asia-Pacific J. of Business Administration     Hybrid Journal   (Followers: 6, SJR: 0.234, CiteScore: 1)
Asian Association of Open Universities J.     Open Access   (Followers: 1)
Asian Education and Development Studies     Hybrid Journal   (Followers: 5, SJR: 0.233, CiteScore: 1)
Asian J. on Quality     Hybrid Journal   (Followers: 3)
Asian Review of Accounting     Hybrid Journal   (Followers: 2, SJR: 0.222, CiteScore: 1)
Aslib J. of Information Management     Hybrid Journal   (Followers: 30, SJR: 0.725, CiteScore: 2)
Aslib Proceedings     Hybrid Journal   (Followers: 308)
Assembly Automation     Hybrid Journal   (Followers: 2, SJR: 0.603, CiteScore: 2)
Baltic J. of Management     Hybrid Journal   (Followers: 3, SJR: 0.309, CiteScore: 1)
Benchmarking : An Intl. J.     Hybrid Journal   (Followers: 10, SJR: 0.559, CiteScore: 2)
British Food J.     Hybrid Journal   (Followers: 17, SJR: 0.5, CiteScore: 2)
Built Environment Project and Asset Management     Hybrid Journal   (Followers: 15, SJR: 0.46, CiteScore: 1)
Business Process Re-engineering & Management J.     Hybrid Journal   (Followers: 8)
Business Strategy Series     Hybrid Journal   (Followers: 6)
Career Development Intl.     Hybrid Journal   (Followers: 17, SJR: 0.527, CiteScore: 2)
China Agricultural Economic Review     Hybrid Journal   (Followers: 2, SJR: 0.31, CiteScore: 1)
China Finance Review Intl.     Hybrid Journal   (Followers: 5, SJR: 0.245, CiteScore: 0)
Chinese Management Studies     Hybrid Journal   (Followers: 4, SJR: 0.278, CiteScore: 1)
Circuit World     Hybrid Journal   (Followers: 16, SJR: 0.246, CiteScore: 1)
Collection and Curation     Hybrid Journal   (Followers: 11, SJR: 0.296, CiteScore: 1)
COMPEL: The Intl. J. for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3, SJR: 0.22, CiteScore: 1)
Competitiveness Review : An Intl. Business J. incorporating J. of Global Competitiveness     Hybrid Journal   (Followers: 5, SJR: 0.274, CiteScore: 1)
Construction Innovation: Information, Process, Management     Hybrid Journal   (Followers: 14, SJR: 0.731, CiteScore: 2)
Corporate Communications An Intl. J.     Hybrid Journal   (Followers: 7, SJR: 0.453, CiteScore: 1)
Corporate Governance Intl. J. of Business in Society     Hybrid Journal   (Followers: 6, SJR: 0.336, CiteScore: 1)
Critical Perspectives on Intl. Business     Hybrid Journal   (SJR: 0.378, CiteScore: 1)
Cross Cultural & Strategic Management     Hybrid Journal   (Followers: 8, SJR: 0.504, CiteScore: 2)
Data Technologies and Applications     Hybrid Journal   (Followers: 323, SJR: 0.355, CiteScore: 1)
Development and Learning in Organizations     Hybrid Journal   (Followers: 8, SJR: 0.138, CiteScore: 0)
Digital Library Perspectives     Hybrid Journal   (Followers: 28, SJR: 0.341, CiteScore: 1)
Direct Marketing An Intl. J.     Hybrid Journal   (Followers: 6)
Disaster Prevention and Management     Hybrid Journal   (Followers: 21, SJR: 0.47, CiteScore: 1)
Drugs and Alcohol Today     Hybrid Journal   (Followers: 143, SJR: 0.245, CiteScore: 1)
Education + Training     Hybrid Journal   (Followers: 24)
Education, Business and Society : Contemporary Middle Eastern Issues     Hybrid Journal   (Followers: 1, SJR: 1.707, CiteScore: 3)
Emerald Emerging Markets Case Studies     Hybrid Journal   (Followers: 1)
Employee Relations     Hybrid Journal   (Followers: 8, SJR: 0.551, CiteScore: 2)
Engineering Computations     Hybrid Journal   (Followers: 3, SJR: 0.444, CiteScore: 1)
Engineering, Construction and Architectural Management     Hybrid Journal   (Followers: 10, SJR: 0.653, CiteScore: 2)
English Teaching: Practice & Critique     Hybrid Journal   (SJR: 0.417, CiteScore: 1)
Equal Opportunities Intl.     Hybrid Journal   (Followers: 3)
Equality, Diversity and Inclusion : An Intl. J.     Hybrid Journal   (Followers: 17, SJR: 0.5, CiteScore: 1)
EuroMed J. of Business     Hybrid Journal   (Followers: 1, SJR: 0.26, CiteScore: 1)
European Business Review     Hybrid Journal   (Followers: 9, SJR: 0.585, CiteScore: 3)
European J. of Innovation Management     Hybrid Journal   (Followers: 25, SJR: 0.454, CiteScore: 2)
European J. of Management and Business Economics     Open Access   (Followers: 1, SJR: 0.239, CiteScore: 1)
European J. of Marketing     Hybrid Journal   (Followers: 21, SJR: 0.971, CiteScore: 2)
European J. of Training and Development     Hybrid Journal   (Followers: 13, SJR: 0.477, CiteScore: 1)
Evidence-based HRM     Hybrid Journal   (Followers: 5, SJR: 0.537, CiteScore: 1)
Facilities     Hybrid Journal   (Followers: 3, SJR: 0.503, CiteScore: 2)
Foresight     Hybrid Journal   (Followers: 7, SJR: 0.34, CiteScore: 1)
Gender in Management : An Intl. J.     Hybrid Journal   (Followers: 20, SJR: 0.412, CiteScore: 1)
Global Knowledge, Memory and Communication     Hybrid Journal   (Followers: 977, SJR: 0.261, CiteScore: 1)
Grey Systems : Theory and Application     Hybrid Journal   (Followers: 1)
Health Education     Hybrid Journal   (Followers: 2, SJR: 0.421, CiteScore: 1)
Higher Education Evaluation and Development     Open Access  
Higher Education, Skills and Work-based Learning     Hybrid Journal   (Followers: 46, SJR: 0.426, CiteScore: 1)
History of Education Review     Hybrid Journal   (Followers: 12, SJR: 0.26, CiteScore: 0)
Housing, Care and Support     Hybrid Journal   (Followers: 8, SJR: 0.171, CiteScore: 0)
Human Resource Management Intl. Digest     Hybrid Journal   (Followers: 18, SJR: 0.129, CiteScore: 0)
IMP J.     Hybrid Journal  
Indian Growth and Development Review     Hybrid Journal   (SJR: 0.174, CiteScore: 0)
Industrial and Commercial Training     Hybrid Journal   (Followers: 5, SJR: 0.301, CiteScore: 1)
Industrial Lubrication and Tribology     Hybrid Journal   (Followers: 7, SJR: 0.334, CiteScore: 1)
Industrial Management & Data Systems     Hybrid Journal   (Followers: 7, SJR: 0.904, CiteScore: 3)
Industrial Robot An Intl. J.     Hybrid Journal   (Followers: 2, SJR: 0.318, CiteScore: 1)
Info     Hybrid Journal   (Followers: 1)
Information and Computer Security     Hybrid Journal   (Followers: 22, SJR: 0.307, CiteScore: 1)
Information Technology & People     Hybrid Journal   (Followers: 45, SJR: 0.671, CiteScore: 2)
Innovation & Management Review     Open Access  
Interactive Technology and Smart Education     Hybrid Journal   (Followers: 12, SJR: 0.191, CiteScore: 1)
Interlending & Document Supply     Hybrid Journal   (Followers: 61)
Internet Research     Hybrid Journal   (Followers: 37, SJR: 1.645, CiteScore: 5)
Intl. J. for Lesson and Learning Studies     Hybrid Journal   (Followers: 4, SJR: 0.324, CiteScore: 1)
Intl. J. for Researcher Development     Hybrid Journal   (Followers: 10)
Intl. J. of Accounting and Information Management     Hybrid Journal   (Followers: 9, SJR: 0.275, CiteScore: 1)
Intl. J. of Bank Marketing     Hybrid Journal   (Followers: 9, SJR: 0.654, CiteScore: 3)
Intl. J. of Climate Change Strategies and Management     Hybrid Journal   (Followers: 17, SJR: 0.353, CiteScore: 1)
Intl. J. of Clothing Science and Technology     Hybrid Journal   (Followers: 8, SJR: 0.318, CiteScore: 1)
Intl. J. of Commerce and Management     Hybrid Journal   (Followers: 1)
Intl. J. of Conflict Management     Hybrid Journal   (Followers: 15, SJR: 0.362, CiteScore: 1)
Intl. J. of Contemporary Hospitality Management     Hybrid Journal   (Followers: 14, SJR: 1.452, CiteScore: 4)
Intl. J. of Culture Tourism and Hospitality Research     Hybrid Journal   (Followers: 20, SJR: 0.339, CiteScore: 1)
Intl. J. of Development Issues     Hybrid Journal   (Followers: 9, SJR: 0.139, CiteScore: 0)
Intl. J. of Disaster Resilience in the Built Environment     Hybrid Journal   (Followers: 6, SJR: 0.387, CiteScore: 1)
Intl. J. of Educational Management     Hybrid Journal   (Followers: 5, SJR: 0.559, CiteScore: 1)
Intl. J. of Emergency Services     Hybrid Journal   (Followers: 9, SJR: 0.201, CiteScore: 1)
Intl. J. of Emerging Markets     Hybrid Journal   (Followers: 3, SJR: 0.474, CiteScore: 2)
Intl. J. of Energy Sector Management     Hybrid Journal   (Followers: 2, SJR: 0.349, CiteScore: 1)
Intl. J. of Entrepreneurial Behaviour & Research     Hybrid Journal   (Followers: 5, SJR: 0.629, CiteScore: 2)
Intl. J. of Ethics and Systems     Hybrid Journal   (Followers: 3, SJR: 0.333, CiteScore: 1)
Intl. J. of Event and Festival Management     Hybrid Journal   (Followers: 7, SJR: 0.388, CiteScore: 1)
Intl. J. of Gender and Entrepreneurship     Hybrid Journal   (Followers: 6, SJR: 0.445, CiteScore: 1)
Intl. J. of Health Care Quality Assurance     Hybrid Journal   (Followers: 12, SJR: 0.358, CiteScore: 1)
Intl. J. of Health Governance     Hybrid Journal   (Followers: 26, SJR: 0.247, CiteScore: 1)
Intl. J. of Housing Markets and Analysis     Hybrid Journal   (Followers: 9, SJR: 0.211, CiteScore: 1)
Intl. J. of Human Rights in Healthcare     Hybrid Journal   (Followers: 6, SJR: 0.205, CiteScore: 0)
Intl. J. of Information and Learning Technology     Hybrid Journal   (Followers: 8, SJR: 0.226, CiteScore: 1)
Intl. J. of Innovation Science     Hybrid Journal   (Followers: 11, SJR: 0.197, CiteScore: 1)
Intl. J. of Intelligent Computing and Cybernetics     Hybrid Journal   (Followers: 3, SJR: 0.214, CiteScore: 1)
Intl. J. of Intelligent Unmanned Systems     Hybrid Journal   (Followers: 4)
Intl. J. of Islamic and Middle Eastern Finance and Management     Hybrid Journal   (Followers: 9, SJR: 0.375, CiteScore: 1)
Intl. J. of Law and Management     Hybrid Journal   (Followers: 2, SJR: 0.217, CiteScore: 1)
Intl. J. of Leadership in Public Services     Hybrid Journal   (Followers: 27)
Intl. J. of Lean Six Sigma     Hybrid Journal   (Followers: 8, SJR: 0.802, CiteScore: 3)
Intl. J. of Logistics Management     Hybrid Journal   (Followers: 10, SJR: 0.71, CiteScore: 2)
Intl. J. of Managerial Finance     Hybrid Journal   (Followers: 5, SJR: 0.203, CiteScore: 1)
Intl. J. of Managing Projects in Business     Hybrid Journal   (Followers: 2, SJR: 0.36, CiteScore: 2)
Intl. J. of Manpower     Hybrid Journal   (Followers: 2, SJR: 0.365, CiteScore: 1)
Intl. J. of Mentoring and Coaching in Education     Hybrid Journal   (Followers: 27, SJR: 0.426, CiteScore: 1)
Intl. J. of Migration, Health and Social Care     Hybrid Journal   (Followers: 12, SJR: 0.307, CiteScore: 1)
Intl. J. of Numerical Methods for Heat & Fluid Flow     Hybrid Journal   (Followers: 11, SJR: 0.697, CiteScore: 3)
Intl. J. of Operations & Production Management     Hybrid Journal   (Followers: 19, SJR: 2.052, CiteScore: 4)
Intl. J. of Organization Theory and Behavior     Hybrid Journal  
Intl. J. of Organizational Analysis     Hybrid Journal   (Followers: 3, SJR: 0.268, CiteScore: 1)
Intl. J. of Pervasive Computing and Communications     Hybrid Journal   (Followers: 3, SJR: 0.138, CiteScore: 1)
Intl. J. of Pharmaceutical and Healthcare Marketing     Hybrid Journal   (Followers: 4, SJR: 0.25, CiteScore: 1)
Intl. J. of Physical Distribution & Logistics Management     Hybrid Journal   (Followers: 11, SJR: 1.821, CiteScore: 4)
Intl. J. of Prisoner Health     Hybrid Journal   (Followers: 8, SJR: 0.303, CiteScore: 1)
Intl. J. of Productivity and Performance Management     Hybrid Journal   (Followers: 8, SJR: 0.578, CiteScore: 2)
Intl. J. of Public Sector Management     Hybrid Journal   (Followers: 32, SJR: 0.438, CiteScore: 1)
Intl. J. of Quality & Reliability Management     Hybrid Journal   (Followers: 8, SJR: 0.492, CiteScore: 2)
Intl. J. of Quality and Service Sciences     Hybrid Journal   (Followers: 2, SJR: 0.309, CiteScore: 1)
Intl. J. of Retail & Distribution Management     Hybrid Journal   (Followers: 6, SJR: 0.742, CiteScore: 3)
Intl. J. of Service Industry Management     Hybrid Journal   (Followers: 3)
Intl. J. of Social Economics     Hybrid Journal   (Followers: 5, SJR: 0.225, CiteScore: 1)
Intl. J. of Sociology and Social Policy     Hybrid Journal   (Followers: 54, SJR: 0.3, CiteScore: 1)
Intl. J. of Sports Marketing and Sponsorship     Hybrid Journal   (Followers: 1, SJR: 0.269, CiteScore: 1)
Intl. J. of Structural Integrity     Hybrid Journal   (Followers: 2, SJR: 0.228, CiteScore: 0)
Intl. J. of Sustainability in Higher Education     Hybrid Journal   (Followers: 14, SJR: 0.502, CiteScore: 2)
Intl. J. of Tourism Cities     Hybrid Journal   (Followers: 2, SJR: 0.502, CiteScore: 0)
Intl. J. of Web Information Systems     Hybrid Journal   (Followers: 4, SJR: 0.186, CiteScore: 1)
Intl. J. of Wine Business Research     Hybrid Journal   (Followers: 8, SJR: 0.562, CiteScore: 2)
Intl. J. of Workplace Health Management     Hybrid Journal   (Followers: 10, SJR: 0.303, CiteScore: 1)
Intl. Marketing Review     Hybrid Journal   (Followers: 15, SJR: 0.895, CiteScore: 3)
Irish J. of Occupational Therapy     Open Access   (Followers: 7)
ISRA Intl. J. of Islamic Finance     Open Access  
J. for Multicultural Education     Hybrid Journal   (Followers: 1, SJR: 0.237, CiteScore: 1)
J. of Accounting & Organizational Change     Hybrid Journal   (Followers: 6, SJR: 0.301, CiteScore: 1)
J. of Accounting in Emerging Economies     Hybrid Journal   (Followers: 9)
J. of Adult Protection, The     Hybrid Journal   (Followers: 16, SJR: 0.314, CiteScore: 1)
J. of Advances in Management Research     Hybrid Journal   (Followers: 2)
J. of Aggression, Conflict and Peace Research     Hybrid Journal   (Followers: 45, SJR: 0.222, CiteScore: 1)
J. of Agribusiness in Developing and Emerging Economies     Hybrid Journal   (SJR: 0.108, CiteScore: 0)
J. of Applied Accounting Research     Hybrid Journal   (Followers: 17, SJR: 0.227, CiteScore: 1)
J. of Applied Research in Higher Education     Hybrid Journal   (Followers: 49, SJR: 0.2, CiteScore: 0)
J. of Asia Business Studies     Hybrid Journal   (Followers: 2, SJR: 0.245, CiteScore: 1)
J. of Assistive Technologies     Hybrid Journal   (Followers: 20)
J. of Business & Industrial Marketing     Hybrid Journal   (Followers: 10, SJR: 0.652, CiteScore: 2)
J. of Business Strategy     Hybrid Journal   (Followers: 12, SJR: 0.333, CiteScore: 1)
J. of Capital Markets Studies     Open Access  
J. of Centrum Cathedra     Open Access  
J. of Children's Services     Hybrid Journal   (Followers: 5, SJR: 0.243, CiteScore: 1)
J. of Chinese Economic and Foreign Trade Studies     Hybrid Journal   (Followers: 1, SJR: 0.2, CiteScore: 0)
J. of Chinese Entrepreneurship     Hybrid Journal   (Followers: 4)
J. of Chinese Human Resource Management     Hybrid Journal   (Followers: 6, SJR: 0.173, CiteScore: 1)
J. of Communication Management     Hybrid Journal   (Followers: 6, SJR: 0.625, CiteScore: 1)
J. of Consumer Marketing     Hybrid Journal   (Followers: 19, SJR: 0.664, CiteScore: 2)
J. of Corporate Real Estate     Hybrid Journal   (Followers: 3, SJR: 0.368, CiteScore: 1)
J. of Criminal Psychology     Hybrid Journal   (Followers: 134, SJR: 0.268, CiteScore: 1)
J. of Criminological Research, Policy and Practice     Hybrid Journal   (Followers: 48, SJR: 0.254, CiteScore: 1)
J. of Cultural Heritage Management and Sustainable Development     Hybrid Journal   (Followers: 10, SJR: 0.257, CiteScore: 1)
J. of Defense Analytics and Logistics     Open Access  
J. of Documentation     Hybrid Journal   (Followers: 189, SJR: 0.613, CiteScore: 1)
J. of Economic and Administrative Sciences     Hybrid Journal   (Followers: 2)
J. of Economic Studies     Hybrid Journal   (Followers: 5, SJR: 0.733, CiteScore: 1)
J. of Economics, Finance and Administrative Science     Open Access   (Followers: 1, SJR: 0.217, CiteScore: 1)
J. of Educational Administration     Hybrid Journal   (Followers: 6, SJR: 1.252, CiteScore: 2)
J. of Enabling Technologies     Hybrid Journal   (Followers: 11, SJR: 0.369, CiteScore: 1)
J. of Engineering, Design and Technology     Hybrid Journal   (Followers: 16, SJR: 0.212, CiteScore: 1)
J. of Enterprise Information Management     Hybrid Journal   (Followers: 4, SJR: 0.827, CiteScore: 4)
J. of Enterprising Communities People and Places in the Global Economy     Hybrid Journal   (Followers: 1, SJR: 0.281, CiteScore: 1)
J. of Entrepreneurship and Public Policy     Hybrid Journal   (Followers: 8, SJR: 0.262, CiteScore: 1)
J. of European Industrial Training     Hybrid Journal   (Followers: 2)
J. of European Real Estate Research     Hybrid Journal   (Followers: 3, SJR: 0.268, CiteScore: 1)
J. of Facilities Management     Hybrid Journal   (Followers: 5, SJR: 0.33, CiteScore: 1)
J. of Family Business Management     Hybrid Journal   (Followers: 7)
J. of Fashion Marketing and Management     Hybrid Journal   (Followers: 12, SJR: 0.608, CiteScore: 2)

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Journal Cover
Industrial Management & Data Systems
Journal Prestige (SJR): 0.904
Citation Impact (citeScore): 3
Number of Followers: 7  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0263-5577
Published by Emerald Homepage  [356 journals]
  • The evolution of Industrial Management & Data Systems over the past 25
           years
    • Pages: 2 - 34
      Abstract: Industrial Management & Data Systems, Volume 119, Issue 1, Page 2-34, February 2019.
      Purpose The purpose of this paper is to examine publication characteristics and dynamic evolution of the Industrial Management & Data Systems (IMDS) over the past 25 years from volume 94, issue 1, in 1994 through volume 118, issue 9, in 2018, using a bibliometric analysis, and identify the leading trends that have affected the journal during this time frame. Design/methodology/approach A bibliometric approach was used to provide a basic overview of the IMDS, including distribution of publication and citations, articles citing the IMDS, top-cited papers and publication patterns. Then, a complex network analysis was employed to present the most productive, influential and active authors, institutes and countries/regions. In addition, cluster analysis and alluvial diagram were used to analyze author keywords. Findings This study presents the basic bibliometric results for the IMDS and focuses on exploring its performance over the last 25 years. And it reveals the most productive, influential and active authors, institutes and countries/regions in IMDS. Moreover, this study detects the existence of at least five different keywords clusters and discovers how themes have evolved through the intricate citation relationships in IMDS. Originality/value The main contribution of this paper is the use of multiple analysis techniques from a complex network paradigm to emphasize the time evolving nature of the co-occurrence networks and to explore the variation of the collaboration networks in the IMDS. For the first time, the evolution of research themes is revealed with a purely data-driven approach.
      Citation: Industrial Management & Data Systems
      PubDate: 2019-02-07T03:47:22Z
      DOI: 10.1108/IMDS-11-2018-0506
       
  • Critical success factors in ERP upgrade projects
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose In the last years the penetration of enterprise resource planning (ERP) systems within small, medium and large organizations increased steadily. Organizations are forced to adapt their systems and perform ERP upgrades in order to react to rapidly changing business environments, technological enhancements and rising pressure of competition. The purpose of this paper is to focus on the critical success factors for such projects. Design/methodology/approach The paper is based on a literature review and qualitative interviews with CEOs, CIOs, ERP consultants and project managers who recently carried out ERP upgrade projects in their respective organizations. Findings This paper identifies 14 critical success factors for ERP upgrade projects. Amongst others, effective project management, external support, the composition of the ERP team and the usage of a multiple system landscape play a key role for the success of the ERP upgrade. Furthermore, a comparison to the critical success factors for ERP implementation projects was conducted, and even though there are many similarities between these types of projects, several differences emerged. Originality/value ERP upgrade projects have a huge impact on organizations, but their success and antecedents for it are currently under-researched.
      Citation: Industrial Management & Data Systems
      PubDate: 2019-01-18T02:48:42Z
      DOI: 10.1108/IMDS-01-2018-0016
       
  • Bootstrapped operating efficiency in container ports: a case study in
           Spain and Portugal
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to evaluate the functioning of the main Spanish and Portuguese containers ports to observe if they are operating below their production capabilities. Design/methodology/approach To achieve the above-mentioned objective, one possible method is to calculate the data envelopment analysis (DEA) efficiency, and the scale efficiency (SE) of targets, and in order to consider the variability across different samples, a bootstrap scheme has been applied. Findings The results showed that the DEA bootstrap-based approach can not only select a suitable unit which accords with a port’s actual input capabilities, but also provides a more accurate result. The bootstrapped results indicate that all ports do not need to develop future investments to expand port infrastructure. Practical implications The proposed DEA bootstrap-based approach provides useful implications in the robust measurement of port efficiency considering different samples. The study proves the usefulness of this approach as a decision-making tool in port efficiency. Originality/value This study is one of the first studies to apply bootstrap to measure port efficiency under the background of the Spain and Portugal case. In the first stage, two models of DEA have been used to obtain the pure technical, and the technical and SE, and both the input-oriented options: constant return scale and variable return scale. In the second stage, the bootstrap method has been applied in order to determine efficiency rankings of Iberian Peninsula container ports taking into consideration different samples. Confidence interval estimates of efficiency for each port are reported. This paper provides useful insights into the application of a DEA bootstrap-based approach as a modeling tool to aid decision making in measuring port efficiency.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-12-31T10:14:57Z
      DOI: 10.1108/IMDS-03-2018-0132
       
  • The effect of e-service quality on Jordanian student’s e-loyalty: an
           empirical study in online retailing
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to examine the dimensions of e-service quality, its effects on e-satisfaction and e-trust and its impact on behavioural and attitudinal loyalty in Jordanian youth users of online retailing. Design/methodology/approach The scale proposed in this study has been specifically constructed using the four models most recognised for measuring e-service quality: E-S-QUAL, WebQual, eTransQual and eTailQ. The dimensions used in this study are efficiency, privacy, reliability, emotional benefit and customer service. The research model was statistically tested by students in Jordan, using Amazon.com. Findings It is found that privacy, reliability, emotional benefit and customer service are important elements to measure the e-service quality, but efficiency is not. E-trust was found to be an antecedent of e-satisfaction, and behavioural loyalty an antecedent of attitudinal loyalty. Originality/value The contribution of this study is thus the investigation of the causal relationship between the e-service quality dimensions, e-satisfaction, e-trust, behavioural loyalty and attitudinal loyalty, where it is necessary to consider the subject in more depth and to examine e-service quality dimensions based on a proposed model constructed from the four most common models.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-12-04T02:59:16Z
      DOI: 10.1108/IMDS-12-2017-0598
       
  • The involvement paradox
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose Can mobile instant messaging (MIM) make people entering into the state of cognitive absorption (CA)' The purpose of this paper is to investigate whether CA can help explain users’ satisfaction during the process of MIM, while interactivity and interest are operated as determinants of CA as well as directly associated with satisfaction. Design/methodology/approach This study proposes a satisfaction model that is adapted from the CA theory to investigate MIMs users’ satisfaction with two determinants, interactivity and interest. Specifically, CA is operated as a second-order formative construct with four reflective dimensions, including curiosity, focused immersion, heightened enjoyment and temporal dissociation. Partial least square structural equation modeling was applied to evaluate the causal links of the model with the data collected from 472 LINE users who all had long using experience. Findings The results showed that CA in MIM, fueled by interactivity and interest, is positively related to satisfaction. Interactivity and interest themselves were also significantly associated with satisfaction. Among them, interactivity has the most influence on satisfaction, followed by interest and CA. Surprised, curiosity and focused immersion did not formative CA in MIM. Research limitations/implications The present study focuses on user satisfaction of a specific MIM (LINE) and collects data from users within a specific region (Taiwan). Other researchers must take these constrains into consideration when referencing this study. Originality/value To the best of the authors’ knowledge, this is the first study which confirmed that people still enter into the state of CA when using MIM on smartphone, even though the using environment is drastically different from that on desktop. It indicates that prior theories in CA with desktop-based software are still applicable and serve as a basis for more studies in the mobile context to a certain extent, but other factors should also be considered. As interactivity and interest are conducive to CA, leading to user satisfaction, an MIM app can be more popular if the two factors are incorporated.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-12-04T02:56:56Z
      DOI: 10.1108/IMDS-06-2018-0245
       
  • Strategic information sharing and competition under cap-and-trade
           regulation
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to investigate whether truthful information sharing can be achieved via informal cheap talk in a competitive setting, and how carbon emission constraint and information-sharing modes (no information sharing, partial information sharing and public information sharing) interact with each other under cap-and-trade regulation. Design/methodology/approach This paper establishes an emission-dependent supply chain consisting of a manufacturer, an incumbent retailer who has superior demand information and a new entrant retailer. The manufacturer abates carbon emissions under the pressures of government environmental regulation and consumers’ eco-friendly concern. The research formulates a multistage game to explore every party’s decision and the implications of information-sharing modes. Findings The results show that truthful information sharing can be achieved when the manufacturer decides both the wholesale price and carbon emission abatement. The results also show that the incumbent retailer’s information-sharing decision highly depends on the manufacturer’s capacity in abating carbon emissions and the demand uncertainty. Originality/value The research adds value to information management and sustainable production literature. This work emphasizes the interaction between the information flow and material flow. Not only it investigates the factors that affect information-sharing modes from a new point of view when considering carbon emission constraint, but also provides operational strategies for manufacturers to make more profit when facing asymmetric information and emission regulation.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-12-04T02:55:37Z
      DOI: 10.1108/IMDS-03-2018-0124
       
  • Malicious web domain identification using online credibility and
           performance data by considering the class imbalance issue
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose Malicious web domain identification is of significant importance to the security protection of internet users. With online credibility and performance data, the purpose of this paper to investigate the use of machine learning techniques for malicious web domain identification by considering the class imbalance issue (i.e. there are more benign web domains than malicious ones). Design/methodology/approach The authors propose an integrated resampling approach to handle class imbalance by combining the synthetic minority oversampling technique (SMOTE) and particle swarm optimisation (PSO), a population-based meta-heuristic algorithm. The authors use the SMOTE for oversampling and PSO for undersampling. Findings By applying eight well-known machine learning classifiers, the proposed integrated resampling approach is comprehensively examined using several imbalanced web domain data sets with different imbalance ratios. Compared to five other well-known resampling approaches, experimental results confirm that the proposed approach is highly effective. Practical implications This study not only inspires the practical use of online credibility and performance data for identifying malicious web domains but also provides an effective resampling approach for handling the class imbalance issue in the area of malicious web domain identification. Originality/value Online credibility and performance data are applied to build malicious web domain identification models using machine learning techniques. An integrated resampling approach is proposed to address the class imbalance issue. The performance of the proposed approach is confirmed based on real-world data sets with different imbalance ratios.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-12-04T02:49:50Z
      DOI: 10.1108/IMDS-02-2018-0072
       
  • Modeling of individual customer delivery satisfaction: an AutoML and
           multi-agent system approach
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to propose an automated machine learning (AutoML) and multi-agent system approach to improve overall product delivery satisfaction under limited resources. Design/methodology/approach An AutoML method is purposed to model delivery satisfaction of individual customer, and a heuristic method and multi-agent system are proposed to improve overall satisfaction under limited processing capability. A series of simulation experiments have been conducted to illustrate the effectiveness of the proposed methodology. Findings The simulated results show that the proposed method can effectively improve overall delivery satisfaction, especially when the demand of customer orders is highly fluctuating and when the customer satisfaction models are highly diversified. Practical implications The proposed framework provides a more dynamic and continuously improving way to model delivery satisfaction of individual customer, thereby supports companies to provide personalized services and develop scalable and flexible business at a lower cost, and ultimately improves the overall quality, efficiency and effectiveness of delivery services. Originality/value The proposed methodology utilizes AutoML and multi-agent system to model individual customer delivery satisfaction and improve the overall satisfaction. It can cooperate with the existing delivery resource planning methods to further improve customer delivery satisfaction. The authors propose an AutoML approach to model individual customer delivery satisfaction, which enables continuous update and improvements. The authors propose multi-agent system and a heuristic method to improve overall delivery satisfaction. The numerical results show that the proposed method can improve overall delivery satisfaction with limited processing capability.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-11-29T11:25:07Z
      DOI: 10.1108/IMDS-07-2018-0279
       
  • Joint optimal decision of the shared distribution system through
           revenue-sharing and cooperative investment contracts
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The rapid development of e-commerce has caused not only explosive growth of the express delivery industry, but also ever-greater operational pressures. Models from the sharing economy may provide new ideas for operational improvement. The purpose of this paper is to consider an optimization method that reduces costs and increases efficiency. The proposed method enables a shared distribution system based on revenue-sharing and cooperative investment contracts. Design/methodology/approach The authors design a two-echelon supply chain (SC) of the shared distribution system with one shared distribution company and N express companies. In this SC, the express companies provide only inter-city transportation, and they outsource internal-city transportation to a shared distribution company. This distribution system differs from that of the traditional express delivery industry. The traditional system of delivery requires large numbers of empty trips (with no load to deliver), because the operating mode of urban distribution has been the franchise. To offer greater efficiency and performance, the authors introduce the sharing economy mode of express delivery. The authors examine the potential of a joint optimal decision-making strategy that involves revenue-sharing and cooperative investment contracts based on an order flow proportion (OFP) and a revenue-sharing factor (RSF). In this shared distribution system, the most important innovation is that all of the express companies jointly invest in and establish a shared distribution company based on OFP or RSF principles. Findings The profitability of an SC with revenue-sharing contracts based on an OFP system is much higher than that of a decentralized SC, and it is very close to the profitability of a centralized SC. In SCs with revenue-sharing contracts that are based on RSFs, there are many possible combinations of RSFs that can increase the overall profitability. The analyses indicate that the OFP system offers the best solution in designing revenue-sharing contracts based on RSFs. Practical implications This study indicates that revenue-sharing contracts based on both OFP and RSF principles can increase overall SC returns by 0.21 to 0.44 percent. In sum total, this improvement could mean a 0.84 to 1.76bn Yuan increase in revenues for the 400+ bn-Yuan express delivery industry. Originality/value The authors find that a combination of equity investment and SC coordination contracts makes the cooperation between SC members much more stable. Through this kind of shared distribution system, the scale of economy can further reduce the costs and increase the efficiency of the express delivery industry.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-11-23T03:37:01Z
      DOI: 10.1108/IMDS-07-2018-0285
       
  • How perceived social distance and trust influence reciprocity expectations
           and eWOM sharing intention in social commerce
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose Currently, consumers can easily access social media to share information and experiences. How a relationship between these consumers influences their decisions has not been clearly investigated. When consumers participate in information sharing activities, they usually communicate with each other and can perceive their social distance from others. Thus, the purpose of this paper is to explore the direct and indirect effects of perceived social distance on eWOM sharing intentions. Design/methodology/approach Specifically, a moderated mediation model was validated, in which the indirect effect of perceived social distance on eWOM sharing intentions through reciprocity expectations was moderated by trust. Findings Perceived social distance had a positive indirect effect on eWOM sharing intentions through reciprocity expectations, which was found to be negatively moderated by trust. Originality/value This study integrates the concept of perceived social distance into the eWOM research area. Moreover, this result adds to the s-commerce literature by specifying the conditions of the indirect effect of perceived social distance through reciprocity expectations on eWOM sharing intention.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-11-23T03:33:21Z
      DOI: 10.1108/IMDS-04-2018-0139
       
  • The effect of IT ambidexterity and cloud computing absorptive capacity on
           competitive advantage
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose Founded on the concept of organizational ambidexterity and the competing value model, the purpose of this paper is to develop an information technology (IT) ambidexterity framework to underscore the importance of a balanced and harmonious IT environment in enterprise cloud adoption. Design/methodology/approach With survey responses from 165 IT executives in a managerial position who are in charge of cloud computing implementation, partial least square method is used to test the research model. Findings Cloud absorptive capacity plays an important role for firms to secure a competitive advantage. The synergy of the two capabilities (flexibility and control), which have conflicting characteristics, contributes to the enhancement of cloud absorptive capacity and leads to a firm’s knowledge accumulation and performance. Research limitations/implications This study is the very first attempt that empirically establishes the relationship between a firm’s competitiveness and cloud computing absorptive capacity. This study provides a comprehensive framework that integrates ambidexterity theory with the competing value framework (CVF) with extending the concept of absorptive capacity that is bounded within an organizational perspective into a cloud computing context. Practical implications Firms should treat cloud computing as a strategic consideration to secure a competitive advantage in the contemporary business environment. For a firm’s performance, a dual governance structure, that encompasses flexibility and control, is required to achieve competitive advantage from cloud computing adoption. Originality/value To facilitate organizational effort in achieving a harmonious cloud environment, the authors propose a comprehensive ambidexterity framework integrating the CVF approach. This framework maps IT ambidexterity onto the CVF. As CVF considers internal and external factors that ambidexterity theory does not cover, integrating two theories can provide more comprehensive implications and discussions regarding cloud computing adoption.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-11-13T03:12:41Z
      DOI: 10.1108/IMDS-05-2018-0196
       
  • Developing intuitionistic fuzzy seasonality regression with particle swarm
           optimization for air pollution forecasting
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to develop a novel intuitionistic fuzzy seasonality regression (IFSR) with particle swarm optimization (PSO) algorithms to accurately forecast air pollutions, which are typical seasonal time series data. Seasonal time series prediction is a critical topic, and some time series data contain uncertain or unpredictable factors. To handle such seasonal factors and uncertain forecasting seasonal time series data, the proposed IFSR with the PSO method effectively extends the intuitionistic fuzzy linear regression (IFLR). Design/methodology/approach The prediction model sets up IFLR with spreads unrestricted so as to correctly approach the trend of seasonal time series data when the decomposition method is used. PSO algorithms were simultaneously employed to select the parameters of the IFSR model. In this study, IFSR with the PSO method was first compared with fuzzy seasonality regression, providing evidence that the concept of the intuitionistic fuzzy set can improve performance in forecasting the daily concentration of carbon monoxide (CO). Furthermore, the risk management system also implemented is based on the forecasting results for decision-maker. Findings Seasonal autoregressive integrated moving average and deep belief network were then employed as comparative models for forecasting the daily concentration of CO. The empirical results of the proposed IFSR with PSO model revealed improved performance regarding forecasting accuracy, compared with the other methods. Originality/value This study presents IFSR with PSO to accurately forecast air pollutions. The proposed IFSR with PSO model can efficiently provide credible values of prediction for seasonal time series data in uncertain environments.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-10-31T01:46:52Z
      DOI: 10.1108/IMDS-02-2018-0063
       
  • Kit preparation for mixed-model assembly: efficiency impact of
           confirmation methods
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose Confirmations are applied in kit preparation for mixed-model assembly to promote quality, but research that explains the impact on time efficiency has been lacking. The purpose of this paper is to determine the extent to which the type of confirmation method relates to time-efficient kit preparation when order batching is applied. Design/methodology/approach An industrially relevant laboratory experiment is applied, simulating kit preparation with order batching for mixed-model assembly. The time efficiency is studied as associated with four confirmation methods – barcode ring scanner, button presses, voice commands and RFID-reading wristbands – when applied as pick-from and place-to confirmation. Furthermore, the paper also considers the quality outcome. Findings Efficiency is promoted by methods that minimise interrupting the picker’s motions when performing pick-from confirmations and with methods that allow each hand to place components and perform place-to confirmations simultaneously – here represented by button presses and RFID-reading wristbands. Moreover, combining various methods for the tasks of pick-from or place-to confirmation can benefit efficiency. Research limitations/implications Pickers at an early stage of the learning curve (one shift of training) were considered. Practical implications The findings promote the customised applications of picking information systems in industry. Social implications Combining various methods for the tasks of pick-from and place-to confirmation can provide more fitting applications that better align with the picker’s preferences. Originality/value Combinations of various methods when applied as either pick-from or place-to confirmation, or both, are studied.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-10-26T01:29:04Z
      DOI: 10.1108/IMDS-07-2018-0287
       
  • The optimization of pricing strategy for the wind power equipment
           aftermarket service
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose Although the wind power industry has been booming in China during the last decade, the development of wind turbine aftermarket service is still lagging behind, which seriously affects the operational efficiency of wind farms. If wind turbine manufacturers get involved in the aftermarket, the service pricing policy will impact the profits of both the manufacturer and the wind farm. Therefore, it is necessary to discuss an optimal service pricing strategy in the wind turbine aftermarket and design a method to improve electricity generation efficiency through service contract design. The paper aims to discuss these issues. Design/methodology/approach In order to decide the maintenance quantity and channel effort level, the authors design a normal Stackelberg game and an efficiency value-added revenue-sharing contract and discuss two kinds of revenue increment sharing models under situations, in which the supply chain’s leaders are the wind farm and the wind turbine manufacturer, respectively. Findings The results show that in either case, there exist optimal power generation revenue-sharing ratios that can maximize profit. At the same time, the authors outline an optimal service pricing policy, maintenance demand policy and channel service effort-level policy. The results summarize the influences of wind aftermarket services on wind farms’ and wind turbine manufacturers’ profit, which provides managerial insights into the process of manufacturing servitization. Practical implications The manufacturer’s channel effort level will influence the power generation increments very much, so the authors have developed a mechanism to stimulate the manufacturer improving the efficiency of aftermarket services. Originality/value Taking the power generation increment revenue as the profit increment function, the authors discuss the influence of service price on the profit increment of the wind farm and the wind turbine manufacturer and also consider the influence of service price on the wind farms maintenance quantity and wind turbine manufacturers channel effort level.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-10-26T01:27:24Z
      DOI: 10.1108/IMDS-01-2018-0032
       
  • A comparative study on industrial spillover effects among Korea, China,
           the USA, Germany and Japan
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose Starting from industry 4.0 in Germany and followed by the New Strategy for American Innovation in the USA and the smartization strategy in Japan, developed countries are pushing nation-wide innovation strategies. Similarly, China is pursuing the Made in China 2025, and Korea announced the Manufacturing Industry Innovation 3.0 strategy. However, few researchers have identified the industrial structure that establishes the foundation of the 4th Industrial Revolution or have derived strengths and weaknesses to provide implications on policy formulation through quantitative comparison with developed countries. Therefore, the purpose of this paper is to analyze the spillover effect of the information and communication technology (ICT) industry (the foundation of the 4th Industrial Revolution) and machinery·equipment industry (the foundation of smart manufacturing through convergence with ICT industry). Design/methodology/approach This study examines the industrial spillover effects of the ICT industry and machinery·equipment industry in the USA, Germany, Japan, China and Korea by using the World Input–Output Table from 2000 to 2014. Findings The results showed that backward linkage effect of the ICT Industry are high in the order of Korea≑China>Japan>the USA≑Germany, and forward linkage effect of the ICT industry are high in the order of Japan ≑> the USA≑Korea ≑> China ≑> Germany. Backward linkage effects of the machinery·equipment industry are high in the order of China>Japan≑Korea>the USA>Germany, and forward linkage effects of the machinery·equipment industry are high in the order of China>Korea>Germany≑Japan≑the USA. Practical implications China and Korea encourage active government investment in ICT and machinery·equipment industries, especially the intentional convergence between ICT and machinery·equipment industries is expected be generate higher synergy. The “innovation in manufacturing” strategy in the USA that utilizes its strength in ICT services seems appropriate, whereas Germany needs to revitalize the ICT industry to strengthen its manufacturing industry. Japan’s strategy is to focus its ICT capabilities on robot sector. While the scope of innovation is limited, its synergy is worth expecting. Originality/value This study attempted to provide a theoretical approach to the determination of national policy strategies and provide practical implications for response to the impacts of the 4th Industrial Revolution, by comparing the inducement effects of ICT and machinery·equipment industries between major countries.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-10-10T12:49:42Z
      DOI: 10.1108/IMDS-05-2018-0215
       
  • Price optimization of hybrid power supply chain dominated by power grid
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to examine the impact of renewable energy on the power supply chain and to study whether the renewable generator or the power grid that purchases power from the power spot market is better when the actual generation of renewable energy is insufficient. The authors want to compare and analyze the different power supply chain operation modes and discuss the optimal mode selection for renewable energy generator and power grid in different situations. Design/methodology/approach This paper studies the grid-led price competition game in the power supply chain, in which the power grid as a leader decides the price of transmission and distribution, and generators determine the power grid price. The renewable energy power generator and the traditional energy power generator conduct a price competition game; on the other hand, the power grid and power generators conduct Stackelberg games. The authors analyze the power supply of single power generator and two power generators, respectively, and research on the situation that the renewable energy cannot be fully recharged when the actual power generation is insufficient. Findings The study finds that both renewable and traditional power grid prices decline as price sensitivity coefficient of demand and installed capacity of renewable energy generators increase. Power grid premium decreases as the price sensitivity coefficient of demand increases, but rises as the installed capacity of renewable energy generator increases. When there is a shortage of power, if the installed capacity of renewable energy is relatively small and price sensitivity coefficient of demand is relatively large, the grid purchases the power from power spot market and shares cost with renewable energy generators, leading to higher expected profits of the renewable energy generators. On the contrary, the renewable energy generators prefer to make up power shortage themselves. For the power grid, purchasing the power by the renewable energy generators when there is a power shortage can bring more utility to the power grid when the installed capacity of renewable energy is lower and the demand price sensitivity coefficient is higher. When the installed capacity of renewable energy is high and the price sensitivity coefficient of demand is moderate, or the installed capacity of renewable energy is moderate and the demand price sensitivity coefficient is high, a generator that simultaneously possesses two kinds of energy source will bring more utility to the power grid. If the installed capacity of renewable energy and the demand price sensitivity coefficient both are small or the installed capacity of renewable energy and the price sensitivity coefficient of demand both are large, the power grid prefers to purchase the power by itself when there is a power shortage. Practical implications The goal of our paper analysis is to explore the implications of the theoretical model and address the series of research questions regarding the impact of the renewable energy on the power supply chain. The results of this study have key implications for reality. This paper sheds light on the power supply chain operation mode selection, which can potentially be used for the renewable energy generators to choose their operating mode and can also help traditional energy generators and power grid enterprises maximize their utility. This paper also has some references for the government to formulate the corresponding renewable energy development policy. Originality/value This paper studies the power operation mode under the uncertainty of supply and demand, and compares the advantages and disadvantages of renewable energy generator that makes up the shortage or the power grid purchases the power from power spot market then shares cost with the renewable energy generator. This paper analyzes the power grid-led coordination problem in a power supply chain, compares and analyzes the price competition game model of single power generator and dual power generators, and compares the different risk preferences of power grid.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-10-10T12:48:22Z
      DOI: 10.1108/IMDS-01-2018-0041
       
  • A green vehicle routing model based on modified particle swarm
           optimization for cold chain logistics
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose This paper studies green vehicle routing problems of cold chain logistics with the consideration of the full set of greenhouse gas (GHG) emissions and an optimization model of green vehicle routing for cold chain logistics (with an acronym of GVRPCCL) is developed. The purpose of this paper is to minimize the total costs, which include vehicle operating cost, quality loss cost, product freshness cost, penalty cost, energy cost and GHG emissions cost. In addition, this research also investigates the effect of changing the vehicle maximum load in relation to cost and GHG emissions. Design/methodology/approach This study develops a mathematical optimization model, considering the total cost and GHG emission. The standard particle swarm optimization and modified particle swarm optimization (MPSO), based on an intelligent optimization algorithm, are applied in this study to solve the routing problem of a real case. Findings The results of this study show the extend of the proposed MPSO performing better in achieving green-focussed vehicle routing and that considering the full set of GHG costs in the objective functions will reduce the total costs and environmental-diminishing emissions of GHG through the comparative analysis. The research outputs also evaluated the effect of different enterprises’ conditions (e.g. customers’ locations and demand patterns) for better distribution routes planning. Research limitations/implications There are some limitations in the proposed model. This study assumes that the vehicle is at a constant speed and it does not consider uncertainties, such as weather conditions and road conditions. Originality/value Prior studies, particularly in green cold chain logistics vehicle routing problem, are fairly limited. The prior works revolved around GHG emissions problem have not considered methane and nitrous oxides. This study takes into account the characteristics of cold chain logistics and the full set of GHGs.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-10-08T09:17:30Z
      DOI: 10.1108/IMDS-07-2018-0314
       
  • The influence of chief data officer presence on firm performance: does
           firm size matter'
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to investigate the relationship between the chief data officer’s (CDO) presence and firm performance, and the moderating effect of firm size. Design/methodology/approach The performance data for 64 treatment firms with CDOs and 64 control firms without CDOs is collected from Compustat database. The Wilcoxon signed-rank test is used to analyze the performance differences between treatment firms and control firms. Hierarchical regression method is used to test the moderating effect of firm size. Findings The results indicate that the profit ratios of treatment firms are significantly improved after the appointment of CDOs, and the profit ratios of treatment firms are significantly higher than that of the control firms. For the cost ratios, the findings provide some empirical evidence revealing two of the cost ratios are lower and only one ratio is higher for the treatment firms after CDOs’ appointment. Firm size moderates the relationship between the CDO’s presence and firm performance indicator, ROS, in the same direction. Firm size has no moderating effect on relationships between CDO’s presence and other performance indicators. Practical implications The findings provide practical insights that will help managers to realize the importance of CDOs and their work. CDOs would bring some cost to the firms, but they would bring more profit to firms. In addition, if for large firms, the CDO’s presence would bring more ROS. Originality/value The study explores the relationship between the CDO’s presence and firm performance. It is the first attempt to explore the CDO’s presence and the cost performance in the specific time period, and the study is also the first attempt to analyze the moderating effect of the firm size on the relationship between the CDO’s presence and firm performance.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-10-02T01:01:51Z
      DOI: 10.1108/IMDS-03-2018-0101
       
  • How store flyers design affect perceived variety of retailers’
           assortment
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to investigate the relationship between several aspects of store flyers design (presence of a institutional slogan, type of product (national brand (NB) or store brand (SB)) featured on the cover page, the size of the flyer, number of featured NBs, type of brand (NB vs SB) on promotion, and price difference between the most expensive (NB) and the cheapest SB) and the consumer’s perceived variety of the retailer’s assortment, as a dimension of its global image. Design/methodology/approach A mixed laboratory experiment that combined a between-subjects experimental design and inter-subject conjoint analysis was conducted. A fictitious flyer from a fictitious supermarket was created that included both real NBs and fictitious SBs. In total, 12 scenarios (i.e. flyers) were tested using a sample of 406 participants. Findings Analysis suggests that longer flyers have the greatest influence on consumers’ perceived variety of a retailer’s assortment; a greater number of NBs in a category influenced consumers’ perceptions positively, and featuring SBs on the cover enhanced perceived variety. If a retailer features SBs on a flyer’s cover, longer flyers are recommended, and shorter flyers are recommended if NBs are featured on the cover. A retailer should promote its own brand only if the most expensive NBs are featured with SBs. Research limitations/implications This study analyses a single aspect of consumers’ purchasing behaviors – variety of a retailer’s assortment. Future research should examine other variables related to consumers’ purchasing behaviors. This study uses an online context to test hypotheses, but many aspects of flyer design are physical. Future research should test current findings in offline contexts to compare results. Research should also explore moderation by consumer variables such as brand and store loyalty. Practical implications To researchers, the authors offer improved understanding of how a flyer’s design affects the first stage of purchasing. To practitioners, results offer better understanding of positive returns on investment of store flyers, and to retailers, results offer a guide to creating and organizing flyers. Originality/value This study is first to assess how a flyer’s design influences a dimension of store image. Unlike extant research that examines store flyers using econometric models at the aggregate level, this study uses a laboratory experiment that combines a between-subjects design with conjoint analysis.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-09-24T02:04:35Z
      DOI: 10.1108/IMDS-04-2018-0149
       
  • Reciprocity and commitment in online travel communities
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose With social exchange theory as a basis, the purpose of this paper is to seek a better understanding of advice processes in online travel communities, which offer crucial advice for travelers’ decisions. It also predicts that relational capital variables (commitment, reciprocity perceptions) moderate the main relationships. Design/methodology/approach Data from a web survey of 456 users of online travel communities affirm the scale’s validity and provide the input for structural equation modeling and multisample analyses of the hypotheses. Findings Higher levels of commitment reinforce the effect of following past advice on passive and active participation intentions. Users’ perceptions of reciprocity in the community strengthen the influence of following past advice on active participation. However, a high level of reciprocity causes users following past advice to reduce their intentions to continue following that advice. Practical implications Management tactics should specify active and passive participation in online travel communities. Specifically, to encourage the creation of high-quality new content, community managers should create interactive environments marked by high levels of reciprocity and commitment. Originality/value This research elucidates the role of relational capital variables in advice processes and advances understanding of online travel communities.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-09-21T02:03:34Z
      DOI: 10.1108/IMDS-03-2018-0098
       
  • Logistics resources, capabilities and operational performance
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to investigate how different logistics resources and resource patterns, such as logistics infrastructure, logistics location, logistics knowledge and logistics information, affect logistics capabilities and operational performance. Design/methodology/approach Based on data collected from 273 companies in China, this study examines impacts of individual logistics resource dimensions on resource integration capability, customer service capability and operational performance through contingency approach. Furthermore, three logistics resource patterns are identified and linked with resource integration capability and operational performance through configuration approach. Findings Contingency results show that different logistics resources have different impacts on resource integration capability and operational performance. Configuration results reveal that companies’ capabilities and operational performance vary for different logistics resource patterns: the high-uniform pattern has a better resource integration capability and operational performance than other patterns, while all logistics resource patterns have similar customer service capability levels. Research limitations/implications Future studies should examine other resource capabilities and performance indicators of companies and extend this study to other countries and regions. Originality/value This study contributes to the logistics resource literature through empirically investigating relationships among logistics resources, resource integration capability and operational performance using contingency approach, and through identifying different logistics resource patterns based on configuration approach. The findings extend the logistics resource literature, particularly on research of logistics parks in China.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-09-05T10:47:30Z
      DOI: 10.1108/IMDS-01-2018-0024
       
  • The determinants of using cloud supply chain adoption
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose It is necessary to determine the processes affecting cloud computing service applications in supply chain management (SCM) systems in order to facilitate cloud computing service exchanges and transmission of data among supply chain members. The paper aims to discuss these issues. Design/methodology/approach Drawing on the elaboration likelihood model (ELM) and integrating the commitment trust theory, this paper develops a theoretical model using argument advantage and source credibility constructs to examine the relationships among perceived usefulness, attitude, trust and usage intention. Findings The results indicate that both the central route and the peripheral route of the ELM have a positive influence on perceived usefulness. The argument advantage has a strong influence on perceived usefulness as compared to source credibility while source credibility has a strong impact on trust. Furthermore, the perceived usefulness of cloud computing services plays a pivotal role in attitude and intention, whereas trust has a weak effect on usage intention. Originality/value The proposed model not only explores the argument that potential user evaluations of both the advantages of cloud computing services and source credibility influence their affective states, which in turn affect their usage intention, but it also examines the mediating factors that influence processes related to cloud SCM acceptance.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-08-23T12:19:12Z
      DOI: 10.1108/IMDS-12-2017-0589
       
  • How do knowledge spillover and access in supply chain network enhance
           SMEs’ credit quality'
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to understand how knowledge spillover and access in a supply chain network enhance the credit quality in supply chain finance (SCF) of small and medium enterprises (SMEs). Design/methodology/approach Drawing on network theory and a knowledge-based view (KBV) of SCF, this paper proposes a theoretical model and tests it using survey data from a sample of 248 SMEs in China. Findings The main finding is that both strong ties and dense ties within a supply chain network have positive effects on SMEs’ credit quality, and these effects are mediated by knowledge spillover and knowledge access. Interestingly, knowledge spillover is found to have a positive effect on knowledge access. Originality/value This paper is the first to investigate the relationship between supply chain network and supply chain financing from a KBV. The proposed model captures the complexity in the interaction among different attributes of supply chain networks (i.e. strong ties and dense ties), different aspects of knowledge transfer (i.e. knowledge spillover and knowledge access) and SMEs’ credit quality in SCF. The results not only show the importance of SMEs’ supply chain networks to SMEs’ credit quality but also contribute to the understanding of the KBV in SCF.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-08-17T09:46:49Z
      DOI: 10.1108/IMDS-01-2018-0049
       
  • Warehouse management system customization and information availability in
           3pl companies
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to illustrate an original decision-support tool (DST) that aids 3PL managers to decide on the proper warehouse management system (WMS) customization. The aim of this tool is to address to the three main issues affecting such decision: the cost of the information sharing, the scarce visibility of the client’s data and the uncertainty of quantifying the return from investing into a WMS feature. Design/methodology/approach The tool behaves as a digital twin of a WMS. In addition, it incorporates a set of WMS’s features based both on heuristics and optimization techniques and uses simulation to perform what-if multi-scenario analyses of alternative management scenarios. In order to validate the effectiveness of the tool, its application to a real-world 3PL warehouse operating in the sector of biomedical products is illustrated. Findings The results of a simulation campaign along an observation horizon of ten months demonstrate how the tool supports the comparison of alternative scenarios with the as-is, thereby suggesting the most suitable WMS customization to adopt. Practical implications The tool supports 3PL managers in enhancing the efficiency of the operations and the fulfilling of the required service level, which is increasingly challenging given the large inventory mix and the variable clients portfolio that 3PLs have to manage. Particularly, the choice of the WMS customization that better perform with each business can be problematic, given the scarce information visibility of the provider on the client’s processes. Originality/value To the author’s knowledge, this paper is among the first to address a still uncovered gap of the warehousing literature by illustrating a DST that exploits optimization and simulation techniques to quantify the impacts of the information availability on the warehousing operations performance. As a second novel contribution, this tool enables to create a digital twin of a WMS and foresee the evolution of the warehouse’s performance over time.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-08-17T09:43:48Z
      DOI: 10.1108/IMDS-01-2018-0033
       
  • An environmental awareness purchasing intention model
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose This paper posits, develops and tests the effects of general environmental awareness factors on consumers’ intentions in the Environmental Awareness Purchasing Intention Model. Environmental awareness is tested within the context of purchasing vehicles and, thus, vehicle relevant factors (perceived quality and self-image) are also included. Further, the purpose of this paper is to explain the relative contribution of general environmental awareness factors on purchasing intentions compared to quality and self-image. Design/methodology/approach The main thrust of the research involved a survey of 248 young automobile buyers from a large public university in Texas, USA. The data were analyzed using both multiple regression and partial least square-structural equation modeling (PLS-SEM). Findings Environmental attitude has a positive impact on purchasing intention, while perceived control toward environmentally responsible behavior has a negative impact. Results also show a positive impact of quality and self-image on intention to purchase environmentally friendly cars. Furthermore, the results reveal that environmental awareness factors explain less variance than perceived quality. At the same time, the results show that environmental factors, relatively, explain more variance in the decision-making process than self-image. Originality/value This is the first study to examine the relationship between general environmental awareness and the intention to purchase an environmentally friendly car. This study contributes to sustainable consumption literature in operations management. The paper also provides insights for developing managerial guidelines for car manufacturers based on the understanding of factors influencing environmentally friendly car purchasing intentions.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-08-15T10:56:20Z
      DOI: 10.1108/IMDS-12-2017-0591
       
  • Trust, risk and transaction intention in consumer-to-consumer
           e-marketplaces
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to compare the relative impacts of trust and risk on individual’s transaction intention in consumer-to-consumer (C2C) e-marketplaces from both the buyers’ and the sellers’ perspectives. Design/methodology/approach Two surveys were used to collect data regarding buyers’ and sellers’ perceptions and transaction intentions at a typical C2C e-marketplace. Partial least squares was used to analyze the data. A complementary qualitative study was conducted to triangulate the results from the quantitative study. Findings Institution-based trust (IBT) exerts a stronger influence on transaction intentions for buyers than for sellers. Sellers perceive a stronger impact of trust in intermediary (TII) than buyers on transaction intentions. The impacts of perceived risk in transactions are not different between buyers and sellers. Furthermore, IBT mediates the impacts of TII and perceived risk on transaction intentions for buyers. Research limitations/implications The results indicate that the impacts of trust and risk on transaction intention in e-marketplaces do differ between buyers and sellers. This suggests a need to further investigate the buyer–seller difference in online transactions. Practical implications Intermediaries need to focus on different types of trust-building mechanisms when attracting buyers and sellers to make transactions in the e-marketplace. Originality/value C2C e-marketplaces cannot survive without participation from both buyers and sellers. Most prior research is conducted from the buyers’ perspective. This research sets a starting point for future research to further explore the differences between buyers’ and sellers’ behavior in C2C e-commerce environments.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-08-15T10:50:19Z
      DOI: 10.1108/IMDS-10-2017-0489
       
  • The impact of lean practices on the operational performance of SMEs in
           India
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose Although lean thinking is deemed to be a gold standard of modern production management, a lot of scepticism still remains regarding its applicability in small- and medium-sized enterprises (SMEs). The purpose of this paper is to understand the perception of lean in SMEs and establish the relationship between lean adoption and operational performance. Design/methodology/approach With the help of a survey, data were collected from 425 SMEs in India and analyzed using structural equation modeling. Findings Operational performance of the firms was found to be positively related to lean implementation. Originality/value This study also furnishes practitioners with a better understanding of lean thinking in SMEs and its impact on performance.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-08-14T02:05:57Z
      DOI: 10.1108/IMDS-02-2018-0088
       
  • Strategic orientation of servitization in manufacturing firms and its
           impacts on firm performance
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to provide implementation insights and implications regarding the strategic orientations of servitization by testing its impacts on firm performance, including financial performance and customer service performance. Design/methodology/approach Empirical research is conducted using an online survey disseminated to manufacturing firms in Southeast China. This research develops and verifies a strategic fit framework to understand the relationship between the strategic orientation of servitization and service innovation (SI), and its resulting impacts on firm performance. Findings The results show that service orientation (SO) has direct positive impacts on firm performance in the manufacturing sector. Customer orientation (CO) and learning orientation (LO) have no direct impact on firm performance, although they have indirect impacts on it via the mediating role of SI capability. Moreover, SO has a similar indirect impact on firm performance via SI capability. Research limitations/implications The survey focuses only on China; future studies should verify whether different cultural backgrounds impact the research results. Practical implications The results suggest that firms should build up three strategic orientations (SO, CO and LO) for implementing servitization to facilitate SI capability and, thus, to improve firm performance. Originality/value This research contributes to enhancing the theory of servitization by developing a strategic fit model of servitization and revealing the impact mechanism of servitization in the manufacturing sector.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-08-14T02:03:36Z
      DOI: 10.1108/IMDS-10-2017-0485
       
  • Selection of crowdsourcing formats: simultaneous contest vs sequential
           contest
    • First page: 35
      Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The online crowdsourcing has been widely applied in the practice. The purpose of this paper is to investigate the all-pay auction contest in crowdsourcing, wherein a seeker posts a task online and the solvers decide whether to participate in the contest and in what extent to spend efforts on their submissions. Design/methodology/approach The authors specifically consider two classic contest formats: simultaneous contest and sequential contest, depending on whether the solver can observe the prior solvers’ submissions before making her own effort investment decision or not. They derive both seeker’s and solver’s equilibrium decisions and payoffs under different contest formats, and show that they vary significantly according to the number and the average skill level of solvers. Findings The results show that a solver would always invest more on her submission under simultaneous contest than under sequential contest, as she cannot confirm how other solvers’ submissions would be. This subsequently intensifies the market competition and brings down a solver’s average payoff under simultaneous contest. Although the simultaneous contest gives rise to a higher expected highest quality of all submissions, it also requires the seeker to spend more search cost to identify the best submission. Therefore, when the number of solvers is high or the average skill level is low, the seeker prefers sequential contest to simultaneous contest. The results also show an analogous preference over two formats for the platform. Originality/value This paper investigates two formats of all-pay auction contest in crowdsourcing and evaluates them from the perspective of solvers, seekers and platforms, respectively. The research offers many interesting insights which do not only explain the incentive mechanisms for solvers under different contest formats, but also make meaningful contributions to the seeker’s or the platform’s adoption strategies between two alternative contest formats in crowdsourcing practice.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-10-19T12:47:53Z
      DOI: 10.1108/IMDS-09-2017-0433
       
  • Influential spreaders in the political Twitter sphere of the 2013
           Malaysian general election
    • First page: 54
      Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to investigate political influential spreaders in Twitter at the juncture before and after the Malaysian General Election in 2013 (MGE2013) for the purpose of understanding if the political sphere within Twitter reflects the intentions, popularity and influence of political figures in the year in which Malaysia has its first “social media election.” Design/methodology/approach A Big Data approach was used for acquiring a series of longitudinal data sets during the election period. The work differs from existing methods focusing on the general statistics of the number of followers, supporters, sentiment analysis, etc. A retweeting network has been extracted from tweets and retweets and has been mapped to a novel information flow and propagation network we developed. The authors conducted quantitative studies using k-shell decomposition, which enables the construction of a quantitative Twitter political propagation sphere where members posited at the core areas are more influential than those in the outer circles and periphery. Findings The authors conducted a comparative study of the influential members of Twitter political propagation sphere on the election day and the day after. The authors found that representatives of political parties which are located at the center of the propagation network are winners of the presidential election. This may indicate that influential power within Twitter is positively related to the final election results, at least in MGE2013. Furthermore, a number of non-politicians located at the center of the propagation network also significantly influenced the election. Research limitations/implications This research is based on a large electoral campaign in a specific election period, and within a predefined nation. While the result is significant and meaningful, more case studies are needed for generalized application for identifying potential winning candidates in future social-media fueled political elections. Practical implications The authors presented a simple yet effective model for identifying influential spreaders in the Twitter political sphere. The application of the authors’ approach yielded the conclusion that online “coreness” score has significant influence to the final offline electoral results. This presents great opportunities for applying the novel methodology in the upcoming Malaysian General Election in 2018. The discovery presented here can be used for understanding how different players of political parties engage themselves in the election game in Twitter. The approach can also be adopted as a factor of influence for offline electoral activities. The conception of a quantitative approach in electoral results greatly influenced by social media means that comparative studies could be made in future elections. Originality/value Existing works related to general elections of various nations have either bypassed or ignored the subtle links between online and offline influential propagations. The modeling of influence from social media using a longitudinal and multilayered approach is also rarely studied. This simple yet effective method provides a new perspective of practice for understanding how different players behave and mutually shape each other over time in the election game.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-10-03T10:27:08Z
      DOI: 10.1108/IMDS-09-2017-0409
       
  • Business environmental analysis for textual data using data mining and
           sentence-level classification
    • First page: 69
      Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to propose a methodology to analyze a large amount of unstructured textual data into categories of business environmental analysis frameworks. Design/methodology/approach This paper uses machine learning to classify a vast amount of unstructured textual data by category of business environmental analysis framework. Generally, it is difficult to produce high quality and massive training data for machine-learning-based system in terms of cost. Semi-supervised learning techniques are used to improve the classification performance. Additionally, the lack of feature problem that traditional classification systems have suffered is resolved by applying semantic features by utilizing word embedding, a new technique in text mining. Findings The proposed methodology can be used for various business environmental analyses and the system is fully automated in both the training and classifying phases. Semi-supervised learning can solve the problems with insufficient training data. The proposed semantic features can be helpful for improving traditional classification systems. Research limitations/implications This paper focuses on classifying sentences that contain the information of business environmental analysis in large amount of documents. However, the proposed methodology has a limitation on the advanced analyses which can directly help managers establish strategies, since it does not summarize the environmental variables that are implied in the classified sentences. Using the advanced summarization and recommendation techniques could extract the environmental variables among the sentences, and they can assist managers to establish effective strategies. Originality/value The feature selection technique developed in this paper has not been used in traditional systems for business and industry, so that the whole process can be fully automated. It also demonstrates practicality so that it can be applied to various business environmental analysis frameworks. In addition, the system is more economical than traditional systems because of semi-supervised learning, and can resolve the lack of feature problem that traditional systems suffer. This work is valuable for analyzing environmental factors and establishing strategies for companies.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-10-25T10:40:15Z
      DOI: 10.1108/IMDS-07-2017-0317
       
  • A decision support system of green inventory-routing problem
    • First page: 89
      Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to develop a decision support system to consider geographic information, logistics information and greenhouse gas (GHG) emission information to solve the proposed green inventory routing problem (GIRP) for a specific Taiwan publishing logistics firm. Design/methodology/approach A GIRP mathematical model is first constructed to help this specific publishing logistics firm to approximate to the optimal distribution system design. Next, two modified Heuristic-Tabu combination methods that combine savings approach, 2-opt and 1-1 λ-interchange heuristic approach with two modified Tabu search methods are developed to determine the optimum solution. Findings Several examples are given to illustrate the optimum total inventory routing cost, the optimum delivery routes, the economic order quantities, the optimum service levels, the reorder points, the optimum common review interval and the optimum maximum inventory levels of all convenience stores in these designed routes. Sensitivity analyses are conducted based on the parameters including truck loading capacity, inventory carrying cost percentages, unit shortage costs, unit ordering costs and unit transport costs to support optimal distribution system design regarding the total inventory routing cost and GHG emission level. Originality/value The most important finding is that GIRP model with reordering point inventory control policy should be applied for the first replenishment and delivery run and GIRP model with periodic review inventory control policy should be conducted for the remaining replenishment and delivery runs based on overall simulation results. The other very important finding concerning the global warming issue can help decision makers of GIRP distribution system to select the appropriate type of truck to deliver products to all retail stores located in the planned optimal delivery routes depending on GHG emission consumptions.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-08-15T11:58:29Z
      DOI: 10.1108/IMDS-11-2017-0533
       
  • Identifying target audience on enterprise social network
    • First page: 111
      Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose Delivering messages and information to potentially interested users is one of the distinguishing applications of online enterprise social network (ESN). The purpose of this paper is to provide insights to better understand the repost preferences of users and provide personalized information service in enterprise social media marketing. Design/methodology/approach It is accomplished by constructing a target audience identification framework. Repost preference latent Dirichlet allocation (RPLDA) topic model topic model is proposed to understand the mass user online repost preferences toward different contents. A topic-oriented preference metric is proposed to measure the preference degree of individual users. And the function of reposting forecasting is formulated to identify target audience. Findings The empirical research shows the following: a total of 20 percent of the repost users in ESN represent the key active users who are particularly interested in the latent topic of messages in ESN and fits Pareto distribution; and the target audience identification framework can successfully identify different target key users for messages with different latent topics. Practical implications The findings should motivate marketing managers to improve enterprise brand by identifying key target audience in ESN and marketing in a way that truthfully reflects personalized preferences. Originality/value This study runs counter to most current business practices, which tend to use simple popularity to seek important users. Adaptively and dynamically identifying target audience appears to have considerable potential, especially in the rapidly growing area of enterprise social media information service.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-08-23T12:20:05Z
      DOI: 10.1108/IMDS-01-2018-0007
       
  • Finding eWOM customers from customer reviews
    • First page: 129
      Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to identify electronic word-of-mouth (eWOM) customers from customer reviews. Thus, firms can precisely leverage eWOM customers to increase their product sales. Design/methodology/approach This research proposed a framework to analyze the content of consumer-generated product reviews. Specific algorithms were used to identify potential eWOM reviewers, and then an evaluation method was used to validate the relationship between product sales and the eWOM reviewers identified by the authors’ proposed method. Findings The results corroborate that online product reviews that are made by the eWOM customers identified by the authors’ proposed method are more related to product sales than customer reviews that are made by non-eWOM customers and that the predictive power of the reviews generated by eWOM customers are significantly higher than the reviews generated by non-eWOM customers. Research limitations/implications The proposed method is useful in the data set, which is based on one type of products. However, for other products, the validity must be tested. Previous eWOM customers may have no significant influence on product sales in the future. Therefore, the proposed method should be tested in the new market environment. Practical implications By combining the method with the previous customer segmentation method, a new framework of customer segmentation is proposed to help firms understand customers’ value specifically. Originality/value This study is the first to identify eWOM customers from online reviews and to evaluate the relationship between reviewers and product sales.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-09-06T12:39:11Z
      DOI: 10.1108/IMDS-09-2017-0418
       
  • Contract coordination of new fresh produce three-layer supply chain
    • First page: 148
      Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose There are particularly high fresh agricultural product (FAP) loss rates in actual supply chain operation and the development of FAPs e-commerce is hindered to some extent. The purpose of this paper is to achieve the coordination of three-layer FAP supply chain and maximize profit through the contracts among the supply chain members. Design/methodology/approach A three-layer FAP supply chain that consists of a fresh produce e-commerce enterprise, third-party logistics service provider (TPLSP) and community convenience store under e-commerce environment is considered. New game models are developed and optimal decisions in centralized and decentralized channel are characterized. Different contract coordination mechanisms are designed to improve the supply chain performance. Finally, computational studies are conducted. Findings The decentralized supply chain cannot be coordinated by a freshness-keeping cost-sharing contract, and it can be coordinated by a freshness-keeping cost-sharing and revenue-sharing contract. The optimal unit online selling price, unit logistics distribution price, fresh-keeping effort and unit self-collection service price can all be achieved. Practical implications The paper provides a practical guideline to managers in fresh produce industry in terms of how to cooperate with other supply chain members so as to maximize total profit and achieve Pareto improvement while also supply the freshest and safest produce to the target market under e-commerce environment. Originality/value Few studies have explored the coordination of three-layer FAP supply chain under e-commerce environment with TPLSP and community convenience store’s participation in decisions, especially considering that the market demand for FAPs is affected by freshness and unit online selling price. In this paper, all these scenarios are taken into account and corresponding mathematical models are developed. In particular, different contract coordination mechanisms are designed and examined simultaneously.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-08-28T01:46:34Z
      DOI: 10.1108/IMDS-12-2017-0559
       
  • Acceptance and use predictors of fitness wearable technology and intention
           to recommend
    • First page: 170
      Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to identify the key facilitators and inhibitors of fitness wearable technology (FWT) adoption and the intention to recommend this technology. Design/methodology/approach An innovative and integrated research model was developed by combining constructs from two well-established theoretical models, the extended unified theory of acceptance and use of technology (UTAUT2) and diffusion of innovation (
      DOI ). The proposed research model was empirically validated using data collected from 392 respondents in China. The data was analyzed using the partial least squares method, a statistical analysis technique based on structural equation modeling. Findings The results indicate that performance expectancy, effort expectancy, social influence, habit, compatibility and innovativeness have significant direct and indirect effects on FWT adoption and the intention to recommend it. The significance of people’s intention to recommend FWT to others in social networking sites (e.g. Facebook, Weibo, and WeChat) is also confirmed. Practical implications The findings may facilitate the design and implementation of FWT products, applications and functionalities that can achieve high consumer acceptance and positive recommendations in social networks. Originality/value This study is among the first to investigate FWT adoption from behavioral, social and environmental perspectives. It also highlights the importance of social marketing campaigns and suggests directions of future wearable technology adoption research.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-08-17T09:40:37Z
       
  • A comparative data analytic approach to construct a risk trade-off for
           cardiac patients’ re-admissions
    • First page: 189
      Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to formulate a framework to construct a patient-specific risk score and therefore to classify these patients into various risk groups that can be used as a decision support mechanism by the medical decision makers to augment their decision-making process, allowing them to optimally use the limited resources available. Design/methodology/approach A conventional statistical model (logistic regression) and two machine learning-based (i.e. artificial neural networks (ANNs) and support vector machines) data mining models were employed by also using five-fold cross-validation in the classification phase. In order to overcome the data imbalance problem, random undersampling technique was utilized. After constructing the patient-specific risk score, k-means clustering algorithm was employed to group these patients into risk groups. Findings Results showed that the ANN model achieved the best results with an area under the curve score of 0.867, while the sensitivity and specificity were 0.715 and 0.892, respectively. Also, the construction of patient-specific risk scores offer useful insights to the medical experts, by helping them find a trade-off between risks, costs and resources. Originality/value The study contributes to the existing body of knowledge by constructing a framework that can be utilized to determine the risk level of the targeted patient, by employing data mining-based predictive approach.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-08-23T12:16:32Z
      DOI: 10.1108/IMDS-12-2017-0579
       
  • Justifying business intelligence systems adoption in SMEs
    • First page: 210
      Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to provide a better understanding of how post-adoption use of business intelligence system (BIS) affects firm performance. It develops and empirically tests a conceptual model for assessing the impact of BIS routine and innovative usage on firm performance the context of small and medium enterprises (SMEs). Design/methodology/approach Drawing on the data collected from 181 SMEs we analyzed how BIS usage influences firm performance using the PLS-SEM method. Findings The paper provides empirical insights about how BIS routine and innovative usage affect firm performance. Practical implications The results provide instrumental insights for managers and solution providers to help them understand the influence of various determinants to more effectively conclude the post-adoption process in SMEs. Originality/value This study represents important progress in the authors’ theoretical understanding of the role of BIS routine and innovative usage across different BIS partial impacts on firm performance dimensions.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-09-21T01:50:43Z
      DOI: 10.1108/IMDS-02-2018-0085
       
 
 
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