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Knowledge Push Curve (KPC) in retailing: evidence from patented innovations analysis affecting retailers' competitiveness

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)150-160
Number of pages11
JournalJournal of Retailing and Consumer Services
Early online date26 Jun 2018
DateAccepted/In press - 10 Jun 2018
DateE-pub ahead of print - 26 Jun 2018
DatePublished (current) - Sep 2018


Previous studies have demonstrated the extent to which an analysis of patent growth can be used to study the innovation level of a certain industry, national competitiveness in terms of technological innovation, and the inventive capacity in a specific domain etc. In terms of the retail industry, there is a propensity for patenting and an increasing consumer demand for technological innovation. In fact, integrating innovative technologies, including innovative systems for conducting product searches and comparisons, and for paying, are one of the most efficient ways to create value for businesses. Building on a historical series of patents from 1990 to 2015, this paper explores the trends in the sector, analysing the increasing number of patents. Secondly it develops a predictive curve, a technology-push curve (TPC) for making some predictions about the future directions in the retail industry that might affect retailers’ competitiveness and subsequent innovation management strategies.

    Research areas

  • Innovation management, Patent analysis, Retailer competitiveness, Retailing, Technology-push curve (TPC)

    Structured keywords

  • MGMT Marketing and Consumption

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Elsevier at!. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 424 KB, PDF document

    Licence: CC BY-NC-ND


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