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Evaluating food retailing efficiency: the role of information technology

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  • Timothy Park
  • Robert King

Abstract

Information and internet-based technologies have fostered new supply chain initiatives in food retailing but little research has evaluated performance and efficiency impacts. A distance function based on three key performance measures for food retailers is used to evaluate store performance and efficiency. The effects of store format, membership in a chain, unionization, and the adoption of a variety of information technologies. Supply chain technologies are groups into three general categories including data sharing technologies, decision sharing technologies, and technologies that support product assortment, pricing, and merchandising decisions. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • Timothy Park & Robert King, 2007. "Evaluating food retailing efficiency: the role of information technology," Journal of Productivity Analysis, Springer, vol. 27(2), pages 101-113, April.
    • Handle: RePEc:kap:jproda:v:27:y:2007:i:2:p:101-113
    DOI: 10.1007/s11123-006-0030-6
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    References listed on IDEAS

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    Cited by:

    1. Esam Salamah & Ahmad Alzubi & Azmiye Yinal, 2023. "Unveiling the Impact of Digitalization on Supply Chain Performance in the Post-COVID-19 Era: The Mediating Role of Supply Chain Integration and Efficiency," Sustainability, MDPI, vol. 16(1), pages 1-30, December.
    2. Peter L. Stenberg & Mitchell Morehart, 2012. "The existence of pent-up demand for rural broadband services: an exploration," Chapters, in: Charlie Karlsson & Börje Johansson & Roger R. Stough (ed.), Entrepreneurship, Social Capital and Governance, chapter 9, pages 221-240, Edward Elgar Publishing.
    3. Costa Melo, Isotilia & Alves Junior, Paulo Nocera & Callefi, Jéssica Syrio & da Silva, Karoline Arguelho & Nagano, Marcelo Seido & Rebelatto, Daisy Aparecida do Nascimento & Rentizelas, Athanasios, 2023. "Measuring the performance of retailers during the COVID-19 pandemic: Embedding optimal control theory principles in a dynamic data envelopment analysis approach," Operations Research Perspectives, Elsevier, vol. 10(C).
    4. Mariarosaria Agostino & Emanuele Brancati & Anna Giunta & Domenico Scalera & Francesco Trivieri, 2020. "Firms' efficiency and global value chains: An empirical investigation on Italian industry," The World Economy, Wiley Blackwell, vol. 43(4), pages 1000-1033, April.
    5. Park, Timothy A., 2014. "Assessing Performance Impacts in Food Retail Distribution Systems: A Stochastic Frontier Model Correcting for Sample Selection," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 0, pages 1-17.
    6. Bonfrer, André & Chintagunta, Pradeep & Dhar, Sanjay, 2022. "Retail store formats, competition and shopper behavior: A Systematic review," Journal of Retailing, Elsevier, vol. 98(1), pages 71-91.
    7. Corstjens Marcel & Vanderheyden Ludo, 2010. "Competition, Risk and Return in the US Grocery Industry," Review of Marketing Science, De Gruyter, vol. 8(1), pages 1-28, June.

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    More about this item

    Keywords

    Multiple performance measures; Distance function; Food retail productivity; Information technologies; Supply chain initiatives; L81; L25; O32;
    All these keywords.

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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