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Publisher: Emerald   (Total: 341 journals)

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Showing 1 - 200 of 341 Journals sorted alphabetically
A Life in the Day     Hybrid Journal   (Followers: 12)
Academia Revista Latinoamericana de Administraci√≥n     Open Access   (Followers: 2, SJR: 0.178, CiteScore: 1)
Accounting Auditing & Accountability J.     Hybrid Journal   (Followers: 31, 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: 21, SJR: 2.187, CiteScore: 4)
Advances in Accounting Education     Hybrid Journal   (Followers: 16, SJR: 0.279, CiteScore: 0)
Advances in Appreciative Inquiry     Hybrid Journal   (SJR: 0.451, CiteScore: 1)
Advances in Autism     Hybrid Journal   (Followers: 21, SJR: 0.222, CiteScore: 1)
Advances in Dual Diagnosis     Hybrid Journal   (Followers: 46, SJR: 0.21, CiteScore: 1)
Advances in Gender Research     Full-text available via subscription   (Followers: 4, 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: 71, 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: 198, SJR: 0.354, CiteScore: 1)
American J. of Business     Hybrid Journal   (Followers: 17)
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  
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: 5, 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: 27, SJR: 0.725, CiteScore: 2)
Aslib Proceedings     Hybrid Journal   (Followers: 296)
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: 16, SJR: 0.5, CiteScore: 2)
Built Environment Project and Asset Management     Hybrid Journal   (Followers: 14, 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: 15, SJR: 0.246, CiteScore: 1)
Collection Building     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: 7, 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)
Development and Learning in Organizations     Hybrid Journal   (Followers: 7, SJR: 0.138, CiteScore: 0)
Digital Library Perspectives     Hybrid Journal   (Followers: 23, SJR: 0.341, CiteScore: 1)
Direct Marketing An Intl. J.     Hybrid Journal   (Followers: 6)
Disaster Prevention and Management     Hybrid Journal   (Followers: 22, SJR: 0.47, CiteScore: 1)
Drugs and Alcohol Today     Hybrid Journal   (Followers: 131, SJR: 0.245, CiteScore: 1)
Education + Training     Hybrid Journal   (Followers: 23)
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: 13, SJR: 0.5, CiteScore: 1)
EuroMed J. of Business     Hybrid Journal   (Followers: 1, SJR: 0.26, CiteScore: 1)
European Business Review     Hybrid Journal   (Followers: 8, SJR: 0.585, CiteScore: 3)
European J. of Innovation Management     Hybrid Journal   (Followers: 23, 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: 20, SJR: 0.971, CiteScore: 2)
European J. of Training and Development     Hybrid Journal   (Followers: 11, SJR: 0.477, CiteScore: 1)
Evidence-based HRM     Hybrid Journal   (Followers: 5, SJR: 0.537, CiteScore: 1)
Facilities     Hybrid Journal   (Followers: 2, SJR: 0.503, CiteScore: 2)
Foresight     Hybrid Journal   (Followers: 7, SJR: 0.34, CiteScore: 1)
Gender in Management : An Intl. J.     Hybrid Journal   (Followers: 18, SJR: 0.412, CiteScore: 1)
Grey Systems : Theory and Application     Hybrid Journal   (Followers: 1)
Health Education     Hybrid Journal   (Followers: 2, SJR: 0.421, CiteScore: 1)
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: 17, SJR: 0.129, CiteScore: 0)
Humanomics     Hybrid Journal   (Followers: 2, SJR: 0.333, CiteScore: 1)
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: 5, 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: 43, SJR: 0.671, CiteScore: 2)
Interactive Technology and Smart Education     Hybrid Journal   (Followers: 11, SJR: 0.191, CiteScore: 1)
Interlending & Document Supply     Hybrid Journal   (Followers: 60)
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: 9)
Intl. J. of Accounting and Information Management     Hybrid Journal   (Followers: 9, SJR: 0.275, CiteScore: 1)
Intl. J. of Bank Marketing     Hybrid Journal   (Followers: 8, SJR: 0.654, CiteScore: 3)
Intl. J. of Climate Change Strategies and Management     Hybrid Journal   (Followers: 16, SJR: 0.353, CiteScore: 1)
Intl. J. of Clothing Science and Technology     Hybrid Journal   (Followers: 7, 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: 13, SJR: 1.452, CiteScore: 4)
Intl. J. of Culture Tourism and Hospitality Research     Hybrid Journal   (Followers: 18, 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: 6, 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: 4, SJR: 0.629, CiteScore: 2)
Intl. J. of Event and Festival Management     Hybrid Journal   (Followers: 5, 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: 11, 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 Law in the Built Environment     Hybrid Journal   (Followers: 3, SJR: 0.227, CiteScore: 0)
Intl. J. of Leadership in Public Services     Hybrid Journal   (Followers: 19)
Intl. J. of Lean Six Sigma     Hybrid Journal   (Followers: 5, 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: 24, SJR: 0.426, CiteScore: 1)
Intl. J. of Migration, Health and Social Care     Hybrid Journal   (Followers: 11, 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: 18, SJR: 2.052, CiteScore: 4)
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: 7, SJR: 0.578, CiteScore: 2)
Intl. J. of Public Sector Management     Hybrid Journal   (Followers: 25, SJR: 0.438, CiteScore: 1)
Intl. J. of Quality & Reliability Management     Hybrid Journal   (Followers: 7, 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: 2)
Intl. J. of Social Economics     Hybrid Journal   (Followers: 5, SJR: 0.225, CiteScore: 1)
Intl. J. of Sociology and Social Policy     Hybrid Journal   (Followers: 49, 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: 13, 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: 7, SJR: 0.562, CiteScore: 2)
Intl. J. of Workplace Health Management     Hybrid Journal   (Followers: 11, SJR: 0.303, CiteScore: 1)
Intl. Marketing Review     Hybrid Journal   (Followers: 15, SJR: 0.895, CiteScore: 3)
Irish J. of Occupational Therapy     Open Access  
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: 5, SJR: 0.301, CiteScore: 1)
J. of Accounting in Emerging Economies     Hybrid Journal   (Followers: 9)
J. of Adult Protection, The     Hybrid Journal   (Followers: 15, 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: 44, 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: 16, SJR: 0.227, CiteScore: 1)
J. of Applied Research in Higher Education     Hybrid Journal   (Followers: 48, 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: 8, SJR: 0.652, CiteScore: 2)
J. of Business Strategy     Hybrid Journal   (Followers: 11, SJR: 0.333, CiteScore: 1)
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: 17, 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: 120, SJR: 0.268, CiteScore: 1)
J. of Criminological Research, Policy and Practice     Hybrid Journal   (Followers: 46, SJR: 0.254, CiteScore: 1)
J. of Cultural Heritage Management and Sustainable Development     Hybrid Journal   (Followers: 10, SJR: 0.257, CiteScore: 1)
J. of Documentation     Hybrid Journal   (Followers: 171, 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 Educational Administration     Hybrid Journal   (Followers: 6, SJR: 1.252, CiteScore: 2)
J. of Enabling Technologies     Hybrid Journal   (Followers: 8, 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: 4, 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)
J. of Financial Crime     Hybrid Journal   (Followers: 367, SJR: 0.228, CiteScore: 0)
J. of Financial Economic Policy     Hybrid Journal   (Followers: 1, SJR: 0.186, CiteScore: 0)
J. of Financial Management of Property and Construction     Hybrid Journal   (Followers: 8, SJR: 0.309, CiteScore: 1)
J. of Financial Regulation and Compliance     Hybrid Journal   (Followers: 8, SJR: 0.159, CiteScore: 0)
J. of Financial Reporting and Accounting     Hybrid Journal   (Followers: 13)
J. of Forensic Practice     Hybrid Journal   (Followers: 56, SJR: 0.205, CiteScore: 1)
J. of Global Mobility     Hybrid Journal   (Followers: 2, SJR: 0.377, CiteScore: 1)

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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  [341 journals]
  • Cost-sharing models for green product production and marketing in a food
           supply chain
    • Pages: 654 - 682
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 654-682, May 2018.
      Purpose The purpose of this paper is to explore the coordination mechanism of cost sharing for green food production and marketing between a food producer and a supplier who both contribute to the sales of green food. Design/methodology/approach This paper first develops demand functions for both a food supplier and a producer, considering their influence on green degree of food and associated consumers’ acceptances. Then, cost-sharing contracts-based game models are proposed. At last, regarding to optimal supply chain profits and green performance, the proposed contracts and the non-coordination situation are compared and tested by a real case. Findings When green cost is only shared by one side, the cost-sharing contracts cannot optimally coordinate the food supply chain, but it can improve profits for both the supplier and producer. When consumers’ sensitivity to the green degree of food increases, a mutual cost-sharing contract will bring more profits for both the supplier and producer than those under the non-coordination mode in a decentralized supply chain situation. A real case verifies the conclusions. Research limitations/implications The models are in complete information, and the market demand is assumed to be linear to sales price. Mutual cost sharing is only for material processing and food production, which can be extended to include sharing for sales cost. Coordination ideas on the proposed contracts development and solutions for optimal decisions can be applied in the other industries. Practical implications The study shows that coordination between a supplier and a producer is needed to improve the food supply chain’s green performance. Originality/value This paper first extends the existing profit functions by considering the green efforts of both a supplier and a producer as well as their effects on green degree of products and consumers’ acceptances to the green degree.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:38:26Z
      DOI: 10.1108/IMDS-05-2017-0181
       
  • Recommending valuable ideas in an open innovation community
    • Pages: 683 - 699
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 683-699, May 2018.
      Purpose Open innovation communities are a growing trend across diverse industries because they provide opportunities of collaborating with customers and exploiting their knowledge effectively. Although open innovation communities can be strategic assets that can help firms innovate, firms nonetheless face the challenge of information overload incurred due to the characteristic of the community. The purpose of this paper is to mitigate the problem of information overload in an open innovation environment. Design/methodology/approach This study chose MyStarbucksIdea.com (MSI) as a target open innovation community in which customers share their ideas. The authors analyzed a large data set collected from MSI utilizing text mining techniques including TF-IDF and sentiment analysis, while considering both term and non-term features of the data set. Those features were used to develop classification models to calculate the adoption probability of each idea. Findings The results showed that term and non-term features play important roles in predicting the adoptability of ideas and the best classification accuracy was achieved by the hybrid classification models. In most cases, the precisions of classification models decreased as the number of recommendations increased, while the models’ recalls and F1s increased. Originality/value This research dealt with the problem of information overload in an open innovation context. A large amount of customer opinions from an innovation community were examined and a recommendation system to mitigate the problem was proposed. Using the proposed system, the firm can get recommendations for ideas that could be valuable for its business innovation in the idea generation phase, thereby resolving the information overload and enhancing the effectiveness of open innovation.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:37:03Z
      DOI: 10.1108/IMDS-02-2017-0044
       
  • Usefulness, funniness, and coolness votes of viewers
    • Pages: 700 - 713
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 700-713, May 2018.
      Purpose The purpose of this paper is to investigate the relationships between five characteristics of social shoppers’ online reviews (the number of all reviews made by a reviewer, the number of friends of a reviewer, the review score, the number of review words, and images/photos) and the usefulness, funniness, and coolness to viewers for the restaurant businesses and the health and wellness businesses. Design/methodology/approach A sample of 1,114 online reviews of social shoppers was collected from Yelp.com. A zero-inflated Poisson regression was used due to a high number of zero votes in the dependent variables for usefulness, funniness, and coolness. The regression identified the review characteristics that are strongly associated with the number of usefulness, funniness, and coolness votes made by viewers. Findings The analysis shows that for the health and wellness businesses, all three dependent variables (usefulness, funniness, and coolness) have the number of reviews, the number of friends, and the number of words as significant independent variables. The results indicate that a reviewer who has more friends and is more experienced in giving reviews is likely to be more influential in generating a perceived value of the online review. The analysis also shows that all three dependent variables of the restaurant businesses have the number of words as a significant independent variable. It is found that there is a negative relationship between the review score and the usefulness votes for both restaurant businesses and health and wellness businesses. The effect of the review score on the coolness votes was not consistent. Research limitations/implications This study is the first research attempt in understanding social shoppers’ online reviews and their usefulness, funniness, and coolness to viewers, and therefore makes significant contributions to research and practice. The comparison was made between restaurant businesses and health and wellness businesses. The result indicates that for the health and wellness businesses, managers need to pay attention to social shoppers with a high number of friends and high number of words in a review. It is also noted that it is necessary to analyze review characteristics separately for each business type. However, as is typical in many empirical studies, this study is not without limitations. While the author limited the analysis of social shoppers’ online reviews to the five characteristics, additional variables may influence the number of votes, too. This study is limited to social shoppers’ reviews and the findings may not be generalized to regular customers’ online reviews. Future research should also examine whether similar results can be obtained at other review sites such as TripAdvisor and Zagat. Originality/value Despite the potential significance of social shoppers’ online reviews, the critical mass of empirical studies still lacks in this area. For a more comprehensive interpretation of review characteristics, this study develops hypotheses based on the literature review on electronic word of mouth and source credibility models and investigates the effect of the five review characteristics on the viewers’ perceived usefulness, funniness, and coolness. Unlike previous studies focused on a single business type, this study compares the results obtained for restaurant businesses and health and wellness businesses and demonstrates that viewers in each business type respond differently to social shoppers’ online reviews.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:38:41Z
      DOI: 10.1108/IMDS-04-2017-0151
       
  • A device to monitor fatigue level in order-picking
    • Pages: 714 - 727
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 714-727, May 2018.
      Purpose In order-picking activities, the performance of the system can be influenced by different variables such as the order to be fulfilled, the distance to be covered or the experience of operators. Usually, this kind of activity is performed by operators rather than machines to assure flexibility. Consequently, their fatigue accumulation can decrease the performance of the overall system. The purpose of this paper is to define the kind of device to be used in an order-picking context, to obtain data which can be utilized for the evaluation of the level of fatigue and to improve the performance of the picking system. Design/methodology/approach The paper presents a comparison between existing fatigue methods which can be applied in a picking context. In addition, an analysis of the physiological literature for the evaluation of a new device for the monitoring of fatigue level is carried on and its practical use is shown. Findings The proposed research identifies in the heart rate monitor the device that, thanks to its advantages, can be the best one to be used in an industrial context for monitoring the physical fatigue of operators. Originality/value This study considers the importance of human factors in picking activities such as physical fatigue of operators and the need to have validated tools to monitor and to define the level of fatigue accumulation in each activity of different rate and duration.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:38:33Z
      DOI: 10.1108/IMDS-05-2017-0182
       
  • I hope and I continue
    • Pages: 728 - 744
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 728-744, May 2018.
      Purpose Continued usage of information systems (ISs) is highly critical to a firm’s sustained success. The expectancy-disconfirmation framework has been effective in explaining continuance. However, our own experiences suggest that we may continue using an IS despite low satisfaction. One of the reasons is that the prediction of future user intent in existing models is predominantly retrospective. The purpose of this paper is to address this gap by incorporating forward-looking considerations into the expectancy-disconfirmation model. Design/methodology/approach A questionnaire survey was conducted for two types of mobile applications: photo-sharing and note-taking, and 593 valid responses were collected. The partial least squares method was employed for structural model analysis for each type of applications. Findings The well-entrenched expectancy-disconfirmation model was empirically verified. This study further shows that the influence of satisfaction on continuance intention is higher when hope for the future of a mobile application is stronger, and vice versa, after controlling for the impact of past usage behaviour. In addition, hope is found to be induced by appraisals of perceived usefulness and importance of a mobile application. Originality/value This study demonstrates that the expectancy-disconfirmation model can be enhanced with considerations of future outcomes. It shows that emotions such as hope are inherent to continuance decisions. Moreover, it goes beyond the valence dimension of emotions and identified specific antecedents of hope based on the appraisal theory.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:37:38Z
      DOI: 10.1108/IMDS-06-2017-0261
       
  • Integration of a text mining approach in the strategic planning process of
           small and medium-sized enterprises
    • Pages: 745 - 764
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 745-764, May 2018.
      Purpose Strategic planning (SP) enables enterprises to plan management and operations activities efficiently in the medium and large term. During its implementation, many processes and methods are manually applied and may be time consuming. The purpose of this paper is to introduce an automatic method to define strategic plans by using text mining (TM) algorithms within a generic SP model especially suited for small- and medium-sized enterprises (SMEs). Design/methodology/approach Textual feedbacks were collected through a SWOT matrix during the implementation of a SP model in a company dedicated to the local distribution of food. A four-step TM process (performing acquisition, pre-processing, processing, and validation tasks) is applied via a framework developed under the cloud computer paradigm in order to determine the strategic plans. Findings The use of categorization and clustering algorithms show that unstructured textual information produced during the SP can be efficiently processed and capitalized. Collected evidence reveals the potential to enhance the strategic plans creation with less effort and time, improving the relevance, and producing new technological resources accessible to SMEs. Originality/value An innovative framework especially suited for the SMEs based on the synergy assumption of the coupling between TM and a generic SP model.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:38:18Z
      DOI: 10.1108/IMDS-01-2017-0029
       
  • Identifying and recommending user-interested attributes with values
    • Pages: 765 - 781
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 765-781, May 2018.
      Purpose To retain consumer attention and increase purchasing rates, many e-commerce vendors have adopted content-based recommender systems. However, apart from text-based documents, there is little theoretical background guiding element selection, resulting in a limited content analysis problem. Another inherent problem is overspecialization. The purpose of this paper is to establish a value-based recommendation methodology for identifying favorable attributes, benefits, and values on the basis of means-end chain theory. The identified elements and the relationships between them were utilized to construct a recommender system without incurring either problem. Design/methodology/approach This study adopted soft laddering and content analysis to collect popular elements. The relationships between the elements were established by using a hard laddering online questionnaire. The elements and the relationships were utilized to build a hierarchical value map (HVM). A mathematical model was then devised on the basis of the HVM to predict user preferences of attributes. Findings The results of a performance comparison showed that the proposed method outperformed the content-based attribute recommendation method and a hybrid method by 39 and 68 percent, respectively. Originality/value Although hybrid methods have been proposed to resolve the problem of overspecialization in content-based recommender systems, such methods have incurred “cold start” and “sparsity” problems. The proposed method can provide recommendations without causing these problems while outperforming the content-based and hybrid approaches.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:37:11Z
      DOI: 10.1108/IMDS-04-2017-0164
       
  • Multi-period dual-sourcing replenishment problem with option contracts and
           a spot market
    • Pages: 782 - 805
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 782-805, May 2018.
      Purpose The spot market has been gradually recognized as an important alternative purchasing source. To maintain a flexible replenishment strategy, call, put and bidirectional option contracts, as a risk hedging, are in combined usage with the spot market, respectively. The purpose of this paper is to analyze a finite-horizon replenishment problem with option contracts in the context of a spot market. Design/methodology/approach Based on stochastic dynamic programming, the firm’s optimal replenishment policy with either call, put or bidirectional option contracts is always shown to be order-up-to type, characterized by an upper threshold and a lower one. The corresponding policy parameters in different cases are calculated through an approximate algorithm. This research highlights the effectiveness of option contracts on the firm’s operational strategies and overall profitability. Findings This study reveals that the firm is better off with option contracts than without them. When the price parameters are the same for different option contracts, bidirectional option contracts are the best choice among these flexible contracts; otherwise, unilateral option contracts might be either better or worse than bidirectional ones. In addition, if low inventory costs and high spot price volatility are confronted, the firm prefers to call option contracts rather than put ones; otherwise, there exists an opposite conclusion. Originality/value In addition to highlight the advantage of option contracts over wholesale price contracts, this paper provides interesting observations with respect to the effect of different option contracts on the firm. Many significant insights derived from this research do not only contribute to the provider’s feasible design of the supply contracts, but also contribute to the user’s rational operational strategies for higher profitability.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:36:57Z
      DOI: 10.1108/IMDS-07-2017-0291
       
  • A novel method to solve sustainable economic power loading dispatch
           problem
    • Pages: 806 - 827
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 806-827, May 2018.
      Purpose The purpose of this paper is to deal with the economic requirements of power system loading dispatch and reduce the fuel cost of generation units. In order to optimize the scheduling of power load, an improved chicken swarm optimization (ICSO) is proposed to be adopted, for solving economic load dispatch (ELD) problem. Design/methodology/approach The ICSO increased the self-foraging factor to the chicks whose activities were the highest. And the evolutionary operations of chicks capturing the rooster food were increased. Therefore, these helped the ICSO to jump out of the local extreme traps and obtain the global optimal solution. In this study, the generation capacity of the generation unit is regarded as a variable, and the fuel cost is regarded as the objective function. The particle swarm optimization (PSO), chicken swarm optimization (CSO), and ICSO were used to optimize the fuel cost of three different test systems. Findings The result showed that the convergence speed, global search ability, and total fuel cost of the ICSO were better than those of PSO and CSO under different test systems. The non-linearity of the input and output of the generating unit satisfied the equality constraints; the average ratio of the optimal solution obtained by PSO, CSO, and ICSO was 1:0.999994:0.999988. The result also presented the equality and inequality constraints; the average ratio of the optimal solution was 1:0.997200:0.996033. The third test system took the non-linearity of the input and output of the generating unit that satisfied both equality and inequality constraints; the average ratio was 1:0.995968:0.993564. Practical implications This study realizes the whole fuel cost minimization in which various types of intelligent algorithms have been applied to the field of load economic scheduling. With the continuous evolution of intelligent algorithms, they save a lot of fuel cost for the ELD problem. Originality/value The ICSO is applied to solve the ELD problem. The quality of the optimal solution and the convergence speed of ICSO are better than that of CSO and PSO. Compared with PSO and CSO, ICSO can dispatch the generator more reasonably, thus saving the fuel cost. This will help the power sector to achieve greater economic benefits. Hence, the ICSO has good performance and significant effectiveness in solving the ELD problem.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:37:35Z
      DOI: 10.1108/IMDS-04-2017-0145
       
  • Service supply chain integration: the role of interpersonal relationships
    • Pages: 828 - 849
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 828-849, May 2018.
      Purpose The purpose of this paper is to explore the role of interpersonal relationships (IPRs) in service supply chain integration (SSCI) in terms of strategic alliance, information integration, and process integration. Design/methodology/approach The research employs an exploratory/investigational approach to multiple case studies and empirically investigates effects of IPRs in SSCI. The data were mainly collected through semi-structured interviews with senior management staff from four service companies and their suppliers or customers in New Zealand. Archival data from the Internet and company documentations were also applied. Findings The authors find that three dimensions of IPRs influence SSCI in different ways. The effect of IPRs on SSCI is indirect: personal affection acts as an initiator, and personal credibility works as a “gate-keeper” and strengthens the confidence of interactive partners, while personal communication, a facilitator, plays a more important role in SSCI than personal affection and credibility. Practical implications The research provides managers in service supply chains the awareness of the importance of IPRs, as well as the characteristics of IPRs, in order to best utilize available resources. Managers should synergize all three dimensions of IPRs’ resources: make efforts to cultivate personal affection to avoid the instinctive isolation modern technology brings; attempt to accumulate positive personal credibility profiles; focus more on the role of personal communication and retain physical contact in SSCI processes. Originality/value This study contributes to SSCI literature by extending from the inter-organizational relationships (IORs) to interpersonal level relationships to explore the inner influence mechanism. Also, it explores the role of IPRs on all three dimensions of SSCI simultaneously rather than individual dimensions independently. Finally, it contributes to resource orchestration theory (ROT) by synthesizing three dimensions of IPRs resources, and IORs resources in order to achieve capabilities of SSCI. The study develops the individual-level research in supply chain integration (SCI) to a further depth.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:37:51Z
      DOI: 10.1108/IMDS-02-2017-0062
       
  • Examining the key determinants towards online pro-brand and anti-brand
           community citizenship behaviours
    • Pages: 850 - 872
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 850-872, May 2018.
      Purpose The purpose of this paper is to propose a research model to identify the key determinants and examine their impact towards online pro-brand and anti-brand community citizenship behaviours (CCBs). Design/methodology/approach A survey based on the research model is used to collect empirical data from 260 and 200 members of online pro-brand communities (OBCs) and online anti-brand communities (OABCs), respectively. A two-stage approach employing fuzzy-set qualitative comparative analysis and artificial neural network (ANN) is first applied to uncover new observations. Findings Moral identity and positive brand emotion (BE) are the two most influential factors driving both online pro-brand and anti-brand CCBs. A higher level of internalisation might be required to exhibit online anti-brand CCB as opposed to online pro-brand CCB. This contradicts the current understanding that anti-brand behaviours are less morally restricted given the virtuality and anonymity of online communities. OABC members may need to better justify themselves internally to overcome positive BE when exercising anti-brand action. Also, brand identification, brand dis-identification and BE would be used to identify two types of OABC members. Research limitations/implications The effect of motives other than pro-social remains unclear on online pro-brand and anti-brand CCBs. Originality/value This is the first paper to develop two new dimensions which provide a more complete definition of CCB. Also, some new observations are uncovered by comparing the effect of different key determinants on online pro-brand CCB against that of online anti-brand CCB. The research model can be used to define and improve member (or brand) engagement which would enhance the management of OBCs and OABCs.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:37:23Z
      DOI: 10.1108/IMDS-07-2017-0313
       
  • Process of innovation knowledge increase in supply chain network from the
           perspective of sustainable development
    • Pages: 873 - 888
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 873-888, May 2018.
      Purpose The purpose of this paper is to extend prior supply chain research by describing the process of innovation knowledge increase in supply chain network. More specifically, this study investigates the role of network density, and views the knowledge increase as the process of knowledge diffusion and knowledge innovation. Design/methodology/approach A multi-agent model, which demonstrates the process of knowledge increase in supply chain network, was established, and simulated by using NetLogo simulation platform. Findings The results indicate that the network density will promote the knowledge increase of the supply chain when it is high or low. In the meantime, these results show that the inhibition of knowledge diffusion and knowledge innovation will appear when network density is moderate. Originality/value Although previous research has identified the importance of knowledge increase in promoting sustainable development of supply chain, far less attention was given to the study of the effect of network structure on the knowledge increase in supply chain. This study thus fulfills the research gap by providing a description of the process of knowledge increase with the consideration of network density. The conclusion is of great significance for the choice of network density for sustainable development of supply chain.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:38:11Z
      DOI: 10.1108/IMDS-06-2017-0243
       
  • Modelling online user behavior for medical knowledge learning
    • Pages: 889 - 911
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 889-911, May 2018.
      Purpose Internet technology allows millions of people to find high quality medical resources online, with the result that personal healthcare and medical services have become one of the fastest growing markets in China. Data relating to healthcare search behavior may provide insights that could lead to better provision of healthcare services. However, discrepancies often arise between terminologies derived from professional medical domain knowledge and the more colloquial terms that users adopt when searching for information about ailments. This can make it difficult to match healthcare queries with doctors’ keywords in online medical searches. The paper aims to discuss these issues. Design/methodology/approach To help address this problem, the authors propose a transfer learning using latent factor graph (TLLFG), which can learn the descriptions of ailments used in internet searches and match them to the most appropriate formal medical keywords. Findings Experiments show that the TLLFG outperforms competing algorithms in incorporating both medical domain knowledge and patient-doctor Q&A data from online services into a unified latent layer capable of bridging the gap between lay enquiries and professionally expressed information sources, and make more accurate analysis of online users’ symptom descriptions. The authors conclude with a brief discussion of some of the ways in which the model may support online applications and connect offline medical services. Practical implications The authors used an online medical searching application to verify the proposed model. The model can bridge users’ long-tailed description with doctors’ formal medical keywords. Online experiments show that TLLFG can significantly improve the searching experience of both users and medical service providers compared with traditional machine learning methods. The research provides a helpful example of the use of domain knowledge to optimize searching or recommendation experiences. Originality/value The authors use transfer learning to map online users’ long-tail queries onto medical domain knowledge, significantly improving the relevance of queries and keywords in a search system reliant on sponsored links.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:37:09Z
      DOI: 10.1108/IMDS-07-2017-0309
       
  • Mediating role of managing information technology and its impact on firm
           performance
    • Pages: 912 - 929
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 912-929, May 2018.
      Purpose Managing IT with firm performance (FM) has always been a debatable topic in literature and practice. Prior studies examining the above relationship have reported mixed results and have yet ignored the eminent managing IT practices. The purpose of this paper is to empirically investigate the relevance of Val-IT 2.0 practice in managing IT investment, and its mediating role in the FM context. Design/methodology/approach This paper is developed on two themes of literature. First, managing IT as a firm’s IT capability in order to generate value from IT investment. Second, IT as a firm’s resource under resource-based view offers firm’s competence that deploys potentials in achieving FM. The structural equation modeling with partial least squares techniques used for analyzing data collected from 176 organization’s IT, and business executives in China. Findings The results of this study show empirical evidence that Val-IT’s components (value governance, portfolio management, and investment management) are significantly linked to the management of IT (MIT), and it found to be a significant mediator between Val-IT components and FM. Research limitations/implications This research contributes to the literature and practice by way of highlighting the value generation through managing IT on FM. Originality/value This study is fully based on Val-IT 2.0 with the FM where the managing IT mediate this relationship in a country-specific study in China. This study adds to the Chinese information system literature which suffers the lack of empirical studies in the context of MIT research.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:36:46Z
      DOI: 10.1108/IMDS-06-2017-0252
       
  • Co-query volume as a proxy for brand relatedness
    • Pages: 930 - 944
      Abstract: Industrial Management & Data Systems, Volume 118, Issue 4, Page 930-944, May 2018.
      Purpose The purpose of this paper is to utilize co-query volumes of brands as relatedness measurement to understand the market structure and demonstrate the usefulness of brand relatedness via a real-world case. Design/methodology/approach Using brand relatedness measurement obtained using data from Google Trends as data inputs into a multidimensional scaling method, the market structure of the automobile industry is presented to reveal its competitive landscape. The relatedness with brands involved in product-harm crisis is further incorporated in empirical models to estimate the influence of crisis on future sales performance of each brand. A representative incident of a product-harm crisis in the automobile industry, which is the 2009 Toyota recall, is investigated. A panel regression analysis is conducted using US and world sales data. Findings The use of co-query as brand relatedness measurement is validated. Results indicate that brand relatedness with a brand under crisis is positively associated with future sales for both US and global market. Potential presence of negative spillovers from an affected brand to innocent brands sharing common traits such as same country of origin is shown. Originality/value The brand relatedness measured from co-query volumes is considered as a broad concept, which encompasses all associative relationships between two brands perceived by the consumers. This study contributes to the literature by clarifying the concept of brand relatedness and proposing a measure with readily accessible data. Compared to previous studies relying on a vast amount of online data, the proposed measure is proven to be efficient and enhance predictions about the future performance of brands in a turbulent market.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-05-16T08:36:42Z
      DOI: 10.1108/IMDS-04-2017-0154
       
  • Exploring the role of intellectual capital in supply chain intelligence
           integration
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to explore the role of intellectual capital (IC) in supply chain intelligence integration (SCII) and the interrelationships of the three components of IC (i.e. human capital (HC), structural capital (SC) and relational capital (RC)) in the supply chain context. Design/methodology/approach This paper conducted an empirical study by using primary data from 389 sample firms. The authors applied structural equation modeling to test the proposed hypotheses. Findings The results indicate that both HC and RC have direct impact on SCII, whereas SC only influences SCII through RC. Originality/value This study evidences that IC is an enabler of SCII. Furthermore, this study reveals the interrelationships of human, structural and RC.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-07-17T08:36:05Z
      DOI: 10.1108/IMDS-06-2017-0285
       
  • Managing hazards of the make-buy decision in the face of radical
           technological change
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to consider the management of hazards arising from the make-buy choice in the face of radical technological change. This sourcing choice can lead to distinctive exchange and hierarchical hazards. This study’s main interest is in investigating the research question “How can firms reduce those distinctive exchange and hierarchical hazards arising from the make-buy sourcing strategy when dealing with radical technological change'” Design/methodology/approach The author develops hypotheses that the in-house retention of outsourced component knowledge will likely reduce exchange hazards arising from the buy strategy choice. And prior exploratory technological experience will likely reduce hierarchical hazards arising from the make strategy choice. The author explores the US mountain bicycle industry from 1980 to 1992 to test the developed hypotheses. For endogeneity arising from the make-buy sourcing decision, the author uses Heckman’s two-stage switching regression model. Findings The major findings are that the in-house retention of outsourced component knowledge and prior exploratory technological experience is distinctive moderating factors improving performance of a buy strategy and a make strategy, respectively. Originality/value Since the extant literature tends to focus on which of the two sourcing strategies provides the greatest performance advantages in the face of radical technological change, there is a strong implication to suggest that if a firm performs poorly with one sourcing decision, the firm should switch to an alternative one. Different from the expositions of the literature, this study elevates the understanding regarding how firms can improve the performance of their current sourcing orientation rather than whether they should switch from one sourcing strategy to another.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-07-11T08:57:02Z
      DOI: 10.1108/IMDS-12-2016-0542
       
  • Cross-trained worker assignment and comparative analysis on throughput of
           divisional and rotating seru
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose Seru (cell) manufacturing system has achieved huge success in production. However, related research is limited, especially, the problem of cross-trained worker assignment. The purpose of this paper is to solve this problem for two representative seru types, divisional and rotating seru, and subsequently, compare throughput performance between the two seru types under reasonable worker-task assignment. Design/methodology/approach For the cross-trained worker assignment problem, this research presents new models aiming at maximum throughput of seru and workload balance of workers under considering skill levels (SLs) and several practical constraints. Furthermore, factorial experiments that involve four factors, the number of tasks (NT), gap of task time, SL and gap of SL, are performed to compare throughput performance between divisional and rotating seru. Findings First, the maximum throughput of the divisional seru is better than that of the rotating seru under suitable worker assignment. Second, in the seru which has less difference of task time, throughput performance of the rotating seru is better than the divisional seru when the NT is close to the number of assigned workers. Moreover, the influence tendency of the four factors on throughput gap between the two seru types is significant. Originality/value This research addresses the worker-task assignment for divisional and rotating seru based on their characteristics. Several findings can help decision maker select more applicable seru type according to various production environments from the perspective of optimum throughput.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-07-10T02:57:20Z
      DOI: 10.1108/IMDS-07-2017-0303
       
  • Agent-based modeling and simulation of the decision behaviors of
           e-retailers
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose Social media facilitates consumer exchanges on product opinions and provides comprehensive knowledge of online products. The interaction between consumers and e-retailers evolves into a collective set of dynamics within a complex system. Agent-based modeling is well suited to stimulate such complex systems. The purpose of this paper is to integrate agent-based model and technique for order performance by similarity to ideal solution (TOPSIS) to simulate decision behaviors of e-retailers in competitive online markets. Design/methodology/approach An agent-based network model using the TOPSIS driven by actual price data is developed. The authors ran an experimental model to simulate interactions between online consumers and e-retailers and to record simulation data. A nonparametric test is used to conduct data analysis and evaluate the sensibility of parameters. Findings Simulation results showed that different profits could be obtained for various brands under different social network structures. E-retailers could achieve more profits through cross-selling than single-selling; however, the highest profits can be achieved when some adopt cross-selling, whereas others use single-selling. From a game perspective, the equilibrium for price-adjustment frequency can be determined from the simulation data. Thus, price adjustment differences significantly affect e-retailer profit. Originality/value This study provides new insights into the evolutionary dynamics of online markets. This work also indicates how to build an integrated simulation model with an agent-based model and TOPSIS and how to use an integrated simulation model and interpret its results.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-07-10T02:55:18Z
      DOI: 10.1108/IMDS-07-2017-0321
       
  • Using put option contracts in supply chains to manage demand and supply
           uncertainty
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose The purpose of this paper is to value put option contracts in hedging the risks in a supply chain consisting of a component supplier with random yield and a manufacturer facing stochastic demand for end products. Design/methodology/approach This paper adopts stochastic inventory theory, game theory, optimization theory and algorithm and MATLAB numerical simulation to investigate the manufacturer’s ordering and the supplier’s production strategies, and to study the coordination and optimization strategies in the context of random yield and demand. Findings The authors find that put options can not only facilitate the manufacturer’s order but also the supplier’s production, that is, the manufacturer and the supplier can effectively manage their involved risks and earn more expected profits by adopting put options. Further, the authors find that the single put option contract fails to coordinate such a supply chain. However, when combined with a protocol, it is able to coordinate the supply chain. Originality/value This paper is the first effort to study the intersection of put option contracts and random yield in the presence of a spot market. From a new perspective, the authors explore the supply chain coordination. The authors propose a mechanism to coordinate the supply chain under put option contracts.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-07-10T02:51:18Z
      DOI: 10.1108/IMDS-09-2017-0393
       
  • Pricing strategy for renewable energy source electricity in the
           competitive hybrid electricity market
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose To promote the development of renewable energy, the Chinese Government adopts the policy of Feed-in Tariff and subsidy. However, the high purchase price and the intermittence limit the development of renewable energy source electricity (RES-E). The purpose of this paper is to discuss the pricing strategy for system operators to stimulate the development of the RES-E industry under the scenario of uncertain supply and demand. Design/methodology/approach The authors establish a two-echelon supply chain investment model led by a power grid operator considering the uncertainties in both demand and supply, and study the impact of the power purchase price designed by a system operator using Stackelberg’s model. Findings There is an optimal capacity for RES-E generators, that is, independent of the market demand. Besides, the optimal order of grid operators is independent of the uncertain RES-E supply and the purchase price of fossil fuel. By properly setting the purchase prices, the system operator can stimulate the capacity investment in renewable energy. Finally, increasing the punishment in power shortage can stimulate the capacity investment in RES-E under certain conditions. Practical implications The result of this paper can mitigate the phenomenon of power abandonment in the RES-E industry and promote the grid integration of RES-E. Originality/value Both uncertain demand and supply are considered in this paper. A heuristic algorithm is provided to compute the optimal purchase price combination.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-07-10T02:49:18Z
      DOI: 10.1108/IMDS-08-2017-0341
       
  • An Internet of Things (IoT)-based risk monitoring system for managing cold
           supply chain risks
    • Abstract: Industrial Management & Data Systems, Ahead of Print.
      Purpose Since the handling of environmentally sensitive products requires close monitoring under prescribed conditions throughout the supply chain, it is essential to manage specific supply chain risks, i.e. maintaining good environmental conditions, and ensuring occupational safety in the cold environment. The purpose of this paper is to propose an Internet of Things (IoT)-based risk monitoring system (IoTRMS) for controlling product quality and occupational safety risks in cold chains. Real-time product monitoring and risk assessment in personal occupational safety can be then effectively established throughout the entire cold chain. Design/methodology/approach In the design of IoTRMS, there are three major components for risk monitoring in cold chains, namely: wireless sensor network; cloud database services; and fuzzy logic approach. The wireless sensor network is deployed to collect ambient environmental conditions automatically, and the collected information is then managed and applied to a product quality degradation model in the cloud database. The fuzzy logic approach is applied in evaluating the cold-associated occupational safety risk of the different cold chain parties considering specific personal health status. To examine the performance of the proposed system, a cold chain service provider is selected for conducting a comparative analysis before and after applying the IoTRMS. Findings The real-time environmental monitoring ensures that the products handled within the desired conditions, namely temperature, humidity and lighting intensity so that any violation of the handling requirements is visible among all cold chain parties. In addition, for cold warehouses and rooms in different cold chain facilities, the personal occupational safety risk assessment is established by considering the surrounding environment and the operators’ personal health status. The frequency of occupational safety risks occurring, including cold-related accidents and injuries, can be greatly reduced. In addition, worker satisfaction and operational efficiency are improved. Therefore, it provides a solid foundation for assessing and identifying product quality and occupational safety risks in cold chain activities. Originality/value The cold chain is developed for managing environmentally sensitive products in the right conditions. Most studies found that the risks in cold chain are related to the fluctuation of environmental conditions, resulting in poor product quality and negative influences on consumer health. In addition, there is a lack of occupational safety risk consideration for those who work in cold environments. Therefore, this paper proposes IoTRMS to contribute the area of risk monitoring by means of the IoT application and artificial intelligence techniques. The risk assessment and identification can be effectively established, resulting in secure product quality and appropriate occupational safety management.
      Citation: Industrial Management & Data Systems
      PubDate: 2018-07-06T11:06:23Z
      DOI: 10.1108/IMDS-09-2017-0384
       
 
 
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