Publisher: Inderscience Publishers   (Total: 444 journals)

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Showing 401 - 444 of 444 Journals sorted alphabetically
Intl. J. of Technology Management     Hybrid Journal   (Followers: 4, SJR: 0.411, CiteScore: 1)
Intl. J. of Technology Marketing     Hybrid Journal   (Followers: 6)
Intl. J. of Technology Policy and Law     Hybrid Journal   (Followers: 7)
Intl. J. of Technology Transfer and Commercialisation     Hybrid Journal   (Followers: 1)
Intl. J. of Technology, Policy and Management     Hybrid Journal   (Followers: 1, SJR: 0.159, CiteScore: 0)
Intl. J. of Telemedicine and Clinical Practices     Hybrid Journal   (Followers: 3)
Intl. J. of the Built Environment and Asset Management     Hybrid Journal   (Followers: 4)
Intl. J. of the Digital Human     Hybrid Journal   (Followers: 2)
Intl. J. of Theoretical and Applied Multiscale Mechanics     Hybrid Journal   (Followers: 3)
Intl. J. of Tourism Anthropology     Hybrid Journal   (Followers: 10, SJR: 0.125, CiteScore: 0)
Intl. J. of Tourism Policy     Hybrid Journal   (Followers: 9, SJR: 0.143, CiteScore: 0)
Intl. J. of Trade and Global Markets     Hybrid Journal   (Followers: 2, SJR: 0.221, CiteScore: 0)
Intl. J. of Transitions and Innovation Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Trust Management in Computing and Communications     Hybrid Journal   (Followers: 3)
Intl. J. of Ultra Wideband Communications and Systems     Hybrid Journal   (SJR: 0.106, CiteScore: 0)
Intl. J. of Value Chain Management     Hybrid Journal   (Followers: 6, SJR: 0.116, CiteScore: 0)
Intl. J. of Vehicle Autonomous Systems     Hybrid Journal   (SJR: 0.155, CiteScore: 0)
Intl. J. of Vehicle Design     Hybrid Journal   (Followers: 6, SJR: 0.363, CiteScore: 1)
Intl. J. of Vehicle Information and Communication Systems     Hybrid Journal   (Followers: 2)
Intl. J. of Vehicle Noise and Vibration     Hybrid Journal   (Followers: 7, SJR: 0.297, CiteScore: 1)
Intl. J. of Vehicle Performance     Hybrid Journal  
Intl. J. of Vehicle Safety     Hybrid Journal   (Followers: 5, SJR: 0.164, CiteScore: 0)
Intl. J. of Vehicle Systems Modelling and Testing     Hybrid Journal   (Followers: 3, SJR: 0.278, CiteScore: 1)
Intl. J. of Virtual Technology and Multimedia     Hybrid Journal   (Followers: 2)
Intl. J. of Water     Hybrid Journal   (Followers: 17, SJR: 0.165, CiteScore: 0)
Intl. J. of Web and Grid Services     Hybrid Journal   (SJR: 0.23, CiteScore: 1)
Intl. J. of Web Based Communities     Hybrid Journal   (SJR: 0.212, CiteScore: 1)
Intl. J. of Web Engineering and Technology     Hybrid Journal   (Followers: 1, SJR: 0.115, CiteScore: 0)
Intl. J. of Web Science     Hybrid Journal   (Followers: 3)
Intl. J. of Wireless and Mobile Computing     Hybrid Journal   (Followers: 6, SJR: 0.233, CiteScore: 1)
Intl. J. of Work Innovation     Hybrid Journal   (Followers: 2, SJR: 0.101, CiteScore: 0)
Intl. J. of Work Organisation and Emotion     Hybrid Journal   (Followers: 5, SJR: 0.171, CiteScore: 1)
J. for Global Business Advancement     Hybrid Journal   (SJR: 0.126, CiteScore: 0)
J. for Intl. Business and Entrepreneurship Development     Hybrid Journal   (Followers: 12)
J. of Design Research     Hybrid Journal   (Followers: 15, SJR: 0.346, CiteScore: 1)
Latin American J. of Management for Sustainable Development     Hybrid Journal  
Luxury Research J.     Hybrid Journal   (Followers: 1)
Middle East J. of Management     Hybrid Journal   (Followers: 2)
Progress in Computational Fluid Dynamics, An Intl. J.     Hybrid Journal   (Followers: 8, SJR: 0.25, CiteScore: 1)
Progress in Industrial Ecology, An Intl. J.     Hybrid Journal   (Followers: 4, SJR: 0.162, CiteScore: 0)
The Botulinum J.     Hybrid Journal   (SJR: 0.126, CiteScore: 0)
World Review of Entrepreneurship, Management and Sustainable Development     Hybrid Journal   (Followers: 3, SJR: 0.312, CiteScore: 1)
World Review of Intermodal Transportation Research     Hybrid Journal   (Followers: 6, SJR: 0.26, CiteScore: 1)
World Review of Science, Technology and Sustainable Development     Hybrid Journal   (Followers: 3, SJR: 0.15, CiteScore: 0)

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Similar Journals
Journal Cover
International Journal of Value Chain Management
Journal Prestige (SJR): 0.116
Number of Followers: 6  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1741-5357 - ISSN (Online) 1741-5365
Published by Inderscience Publishers Homepage  [444 journals]
  • The future of competitive intelligence in an AI-enabled world
    • Authors: Fred P. Hoffman, Shelly L. Freyn
      Pages: 275 - 289
      Abstract: Competitive intelligence consultancies are a subset of the management consulting industry, and along with business intelligence and knowledge management, competitive intelligence represents one leg of the commercial intelligence triad. Business intelligence and knowledge management benefit considerably from big data and artificial intelligence. As big data, big data analytics, and artificial intelligence continue to significantly transform countless industries, some have asserted that these technologies will disrupt the management consulting world and could even render the role of the human analyst obsolete. This article examines the future of competitive intelligence in an AI-enabled world and identifies trends and proposed changes that will enable competitive intelligence to remain both relevant and valued for decades to come.
      Keywords: competitive intelligence; artificial intelligence; business intelligence; big data
      Citation: International Journal of Value Chain Management, Vol. 10, No. 4 (2019) pp. 275 - 289
      PubDate: 2019-10-23T23:20:50-05:00
      DOI: 10.1504/IJVCM.2019.103268
      Issue No: Vol. 10, No. 4 (2019)
       
  • Transportation lead time in perishable food value chains: an Indian
           perspective
    • Authors: Saurav Negi, Lincoln C. Wood
      Pages: 290 - 315
      Abstract: This paper examines the factors leading to high lead time in transportation stage of perishable food supply chain in India, which impact the quality of food and ultimately results in food losses. This study is motivated by the criticality of transportation in the North Indian region and increasing food losses and wastage. Mango and tomato supply chains are used in this research as they are dominant and economically important industries in parts of India. The research first used a survey-based questionnaire from the transporters who are responsible for transporting the fresh produce from the farms at Uttar Pradesh, Himachal Pradesh and Uttarakhand (India) to Asia's largest wholesale fruit and vegetable market (Mandi) in Azadpur, Delhi. The data were analysed separately each of mangos and tomatoes. Based on the analysis, the identified factors are infrastructure, imprudence, continuous verification and frisking, connectivity and resources/transportation facilities. Interviews were conducted with food supply chain experts to gain insight into practical measures that can be taken to reduce transportation lead time.
      Keywords: transportation lead time; food logistics; logistics infrastructure; value chain; food losses and wastages
      Citation: International Journal of Value Chain Management, Vol. 10, No. 4 (2019) pp. 290 - 315
      PubDate: 2019-10-23T23:20:50-05:00
      DOI: 10.1504/IJVCM.2019.103269
      Issue No: Vol. 10, No. 4 (2019)
       
  • Strategic supply chain management for enhancing competitive advantages:
           developing business value added framework
    • Authors: Saurav Negi, Lincoln C. Wood
      Pages: 316 - 338
      Abstract: With strategic supply chain management (SSCM) approach, supply chains develop capabilities to prosper within today's competitive global landscape. SSCM helps organisations to anticipate demand of consumers precisely; cater such demand reliably and swiftly and enhance supply chain efficiency and effectiveness. Greater insight into demand and delivery schedule provided by SSCM will improve operational performance and help organisations in creating the business value they seek. Research develops appropriate competitive priorities of SSCM in terms of responsiveness, resilience, reliability and realignment to enhance SCM efficiency, effectiveness and competitive advantages. Research underscores the dynamic capabilities of responsiveness, resiliency, reliability and realignment as important drivers of SSCM and develops relevant research propositions. The main purpose of the research is to emphasise how strategic supply chain approach improves business performance and accordingly formulates an integrated SSCM framework for business value added.
      Keywords: strategic supply chain management; supply chain; business value added; competitive priorities; organisation performance; dynamic capabilities; responsiveness; resiliency; reliability; realignment
      Citation: International Journal of Value Chain Management, Vol. 10, No. 4 (2019) pp. 316 - 338
      PubDate: 2019-10-23T23:20:50-05:00
      DOI: 10.1504/IJVCM.2019.103270
      Issue No: Vol. 10, No. 4 (2019)
       
  • The use of disaggregated demand information to improve forecasts and stock
           allocation during sales promotions: a simulation and optimisation study
           using supermarket loyalty card data
    • Authors: Sheraz Alam Malik, Andrew Fearne, Jesse O'Hanley
      Pages: 339 - 357
      Abstract: Our work highlights the importance of using disaggregated demand information at store level to improve sales forecasts and stock allocation during sales promotions. Monte Carlo simulation and optimisation modelling were used to estimate short-term promotional impacts. Supermarket loyalty card data was used from a major UK retailer to identify the benefits of using disaggregated demand data for improved forecasting and stock allocation. The results suggest that there is a high degree of heterogeneity in demand at individual store level due to number of factors including the weather, the characteristics of shoppers, the characteristics of products and store format, all of which conspire to generate significant variation in promotional uplifts. The paper is the first to use supermarket loyalty card data to generate store level promotional forecasts and quantify the benefits of disaggregating the allocation of promotional stock to the level of individual stores rather than regional distribution centres.
      Keywords: sales promotions; demand forecasting; Monte Carlo simulation; stock allocation; optimisation; supermarket loyalty card data
      Citation: International Journal of Value Chain Management, Vol. 10, No. 4 (2019) pp. 339 - 357
      PubDate: 2019-10-23T23:20:50-05:00
      DOI: 10.1504/IJVCM.2019.103271
      Issue No: Vol. 10, No. 4 (2019)
       
 
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