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

Eleonora Pantano; Constantinos-Vasilios Priporas; Nikolaos Stylos

doi:10.1016/j.jretconser.2018.06.004

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 journal › Article (Academic Journal) › peer-review

33 Citations (Scopus)

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Abstract

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 language	English
Pages (from-to)	150-160
Number of pages	11
Journal	Journal of Retailing and Consumer Services
Volume	44
Early online date	26 Jun 2018
DOIs	https://doi.org/10.1016/j.jretconser.2018.06.004
Publication status	Published - Sept 2018

Research Groups and Themes

MGMT Marketing and Consumption

Keywords

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

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10.1016/j.jretconser.2018.06.004

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This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://www.sciencedirect.com/science/article/pii/S0969698917307634#!. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 424 KBLicence: CC BY-NC-ND

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

abstract = "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{\textquoteright} competitiveness and subsequent innovation management strategies.",

keywords = "Innovation management, Patent analysis, Retailer competitiveness, Retailing, Technology-push curve (TPC)",

author = "Eleonora Pantano and Constantinos-Vasilios Priporas and Nikolaos Stylos",

year = "2018",

month = sep,

doi = "10.1016/j.jretconser.2018.06.004",

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journal = "Journal of Retailing and Consumer Services",

issn = "0969-6989",

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T2 - evidence from patented innovations analysis affecting retailers' competitiveness

AU - Pantano, Eleonora

AU - Priporas, Constantinos-Vasilios

AU - Stylos, Nikolaos

PY - 2018/9

Y1 - 2018/9

N2 - 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.

AB - 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.

KW - Innovation management

KW - Patent analysis

KW - Retailer competitiveness

KW - Retailing

KW - Technology-push curve (TPC)

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DO - 10.1016/j.jretconser.2018.06.004

M3 - Article (Academic Journal)

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SN - 0969-6989

VL - 44

SP - 150

EP - 160

JO - Journal of Retailing and Consumer Services

JF - Journal of Retailing and Consumer Services

ER -

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

Abstract

Research Groups and Themes

Keywords

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