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

Eleonora Pantano*, Constantinos-Vasilios Priporas, Nikolaos Stylos

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

26 Citations (Scopus)
342 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)150-160
Number of pages11
JournalJournal of Retailing and Consumer Services
Early online date26 Jun 2018
Publication statusPublished - Sept 2018

Structured keywords

  • MGMT Marketing and Consumption


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


Dive into the research topics of 'Knowledge Push Curve (KPC) in retailing: evidence from patented innovations analysis affecting retailers' competitiveness'. Together they form a unique fingerprint.

Cite this