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

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  • Pantano, Eleonora
  • Priporas, Constantinos-Vasilios
  • Stylos, Nikolaos

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.

Suggested Citation

  • Pantano, Eleonora & Priporas, Constantinos-Vasilios & Stylos, Nikolaos, 2018. "Knowledge Push Curve (KPC) in retailing: Evidence from patented innovations analysis affecting retailers' competitiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 150-160.
  • Handle: RePEc:eee:joreco:v:44:y:2018:i:c:p:150-160
    DOI: 10.1016/j.jretconser.2018.06.004
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    1. Fabry, Bernd & Ernst, Holger & Langholz, Jens & Köster, Martin, 2006. "Patent portfolio analysis as a useful tool for identifying R&D and business opportunities--an empirical application in the nutrition and health industry," World Patent Information, Elsevier, vol. 28(3), pages 215-225, September.
    2. Kumar, V. & Anand, Ankit & Song, Hyunseok, 2017. "Future of Retailer Profitability: An Organizing Framework," Journal of Retailing, Elsevier, vol. 93(1), pages 96-119.
    3. Sternitzke, Christian, 2013. "An exploratory analysis of patent fencing in pharmaceuticals: The case of PDE5 inhibitors," Research Policy, Elsevier, vol. 42(2), pages 542-551.
    4. Grewal, Dhruv & Roggeveen, Anne L. & Nordfält, Jens, 2017. "The Future of Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 1-6.
    5. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(1), pages 1-2, May.
    6. Encaoua, David & Guellec, Dominique & Martinez, Catalina, 2006. "Patent systems for encouraging innovation: Lessons from economic analysis," Research Policy, Elsevier, vol. 35(9), pages 1423-1440, November.
    7. Joung, Junegak & Kim, Kwangsoo, 2017. "Monitoring emerging technologies for technology planning using technical keyword based analysis from patent data," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 281-292.
    8. Cecere, Grazia & Corrocher, Nicoletta & Gossart, Cédric & Ozman, Muge, 2014. "Technological pervasiveness and variety of innovators in Green ICT: A patent-based analysis," Research Policy, Elsevier, vol. 43(10), pages 1827-1839.
    9. Ogawa, Takaya & Kajikawa, Yuya, 2015. "Assessing the industrial opportunity of academic research with patent relatedness: A case study on polymer electrolyte fuel cells," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 469-475.
    10. Pantano, Eleonora & Iazzolino, Gianpaolo & Migliano, Giuseppe, 2013. "Obsolescence risk in advanced technologies for retailing: A management perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 20(2), pages 225-233.
    11. Wagner, Stephan M. & Mizgier, Kamil J. & Papageorgiou, Stylianos, 2017. "Operational disruptions and business cycles," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 66-78.
    12. Zoltán J. Ács & Pontus Braunerhjelm & David B. Audretsch & Bo Carlsson, 2015. "The knowledge spillover theory of entrepreneurship," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 7, pages 129-144, Edward Elgar Publishing.
    13. Jing Ma & Alan L. Porter, 2015. "Analyzing patent topical information to identify technology pathways and potential opportunities," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 811-827, January.
    14. Ogawa, Susumu, 1998. "Does sticky information affect the locus of innovation? Evidence from the Japanese convenience-store industry," Research Policy, Elsevier, vol. 26(7-8), pages 777-790, April.
    15. Roberta Piergiovanni & Enrico Santarelli, 2001. "Patents and the Geographic Localization of R&D Spillovers in French Manufacturing," Regional Studies, Taylor & Francis Journals, vol. 35(8), pages 697-702.
    16. Chang, Shann-Bin, 2012. "Using patent analysis to establish technological position: Two different strategic approaches," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 3-15.
    17. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    18. Inman, J. Jeffrey & Nikolova, Hristina, 2017. "Shopper-Facing Retail Technology: A Retailer Adoption Decision Framework Incorporating Shopper Attitudes and Privacy Concerns," Journal of Retailing, Elsevier, vol. 93(1), pages 7-28.
    19. Pantano, Eleonora & Priporas, Constantinos-Vasilios & Sorace, Stefano & Iazzolino, Gianpaolo, 2017. "Does innovation-orientation lead to retail industry growth? Empirical evidence from patent analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 88-94.
    20. Zoltan J. Acs & Luc Anselin & Attila Varga, 2008. "Patents and Innovation Counts as Measures of Regional Production of New Knowledge," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 11, pages 135-151, Edward Elgar Publishing.
    21. Kim, Gabjo & Bae, Jinwoo, 2017. "A novel approach to forecast promising technology through patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 228-237.
    22. ChiaCheng Chao & WenYuan Jen & YanPing Chi & Binshan Lin, 2007. "Determining technology trends and forecasts of CRM through a historical review and bibliometric analysis of data from 1991 to 2005," International Journal of Management and Enterprise Development, Inderscience Enterprises Ltd, vol. 4(4), pages 415-427.
    23. Cao, Lanlan & Li, Li, 2015. "The Impact of Cross-Channel Integration on Retailers’ Sales Growth," Journal of Retailing, Elsevier, vol. 91(2), pages 198-216.
    24. Poncin, Ingrid & Ben Mimoun, Mohamed Slim, 2014. "The impact of “e-atmospherics†on physical stores," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 851-859.
    25. Hicks, Diana & Breitzman, Tony & Olivastro, Dominic & Hamilton, Kimberly, 2001. "The changing composition of innovative activity in the US -- a portrait based on patent analysis," Research Policy, Elsevier, vol. 30(4), pages 681-703, April.
    26. Nelson, Andrew & Earle, Andrew & Howard-Grenville, Jennifer & Haack, Julie & Young, Doug, 2014. "Do innovation measures actually measure innovation? Obliteration, symbolic adoption, and other finicky challenges in tracking innovation diffusion," Research Policy, Elsevier, vol. 43(6), pages 927-940.
    27. Lanlan Cao, 2014. "Business Model Transformation in Moving to a Cross-Channel Retail Strategy: A Case Study," Post-Print hal-01153301, HAL.
    28. Herhausen, Dennis & Binder, Jochen & Schoegel, Marcus & Herrmann, Andreas, 2015. "Integrating Bricks with Clicks: Retailer-Level and Channel-Level Outcomes of Online–Offline Channel Integration," Journal of Retailing, Elsevier, vol. 91(2), pages 309-325.
    29. Renko, Sanda & Druzijanic, Mirna, 2014. "Perceived usefulness of innovative technology in retailing: Consumers׳ and retailers׳ point of view," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 836-843.
    30. Motohashi, Kazuyuki, 2008. "Licensing or not licensing? An empirical analysis of the strategic use of patents by Japanese firms," Research Policy, Elsevier, vol. 37(9), pages 1548-1555, October.
    31. Venugopalan, Subhashini & Rai, Varun, 2015. "Topic based classification and pattern identification in patents," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 236-250.
    32. Demirkan, Haluk & Spohrer, Jim, 2014. "Developing a framework to improve virtual shopping in digital malls with intelligent self-service systems," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 860-868.
    33. Patel, Darshak & Ward, Michael R., 2011. "Using patent citation patterns to infer innovation market competition," Research Policy, Elsevier, vol. 40(6), pages 886-894, July.
    34. Tsai, Yu-Ching & Huang, Yu-Fen & Yang, Jing-Tang, 2016. "Strategies for the development of offshore wind technology for far-east countries – A point of view from patent analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 182-194.
    35. Daim, Tugrul & Justice, Jay & Hogaboam, Liliya & Mäkinen, Saku J. & Dedehayir, Ozgur, 2014. "Identifying and forecasting the reverse salient in video game consoles: A performance gap ratio comparative analysis," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 177-189.
    36. Läpple, Doris & Renwick, Alan & Thorne, Fiona, 2015. "Measuring and understanding the drivers of agricultural innovation: Evidence from Ireland," Food Policy, Elsevier, vol. 51(C), pages 1-8.
    37. Lee, Changyong & Kim, Juram & Kwon, Ohjin & Woo, Han-Gyun, 2016. "Stochastic technology life cycle analysis using multiple patent indicators," Technological Forecasting and Social Change, Elsevier, vol. 106(C), pages 53-64.
    38. Leeflang, Peter S.H. & Verhoef, Peter C. & Dahlström, Peter & Freundt, Tjark, 2014. "Challenges and solutions for marketing in a digital era," European Management Journal, Elsevier, vol. 32(1), pages 1-12.
    39. Basberg, Bjorn L., 1987. "Patents and the measurement of technological change: A survey of the literature," Research Policy, Elsevier, vol. 16(2-4), pages 131-141, August.
    40. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(2), pages 109-110, August.
    41. Sorescu, Alina & Frambach, Ruud T. & Singh, Jagdip & Rangaswamy, Arvind & Bridges, Cheryl, 2011. "Innovations in Retail Business Models," Journal of Retailing, Elsevier, vol. 87(S1), pages 3-16.
    42. Noh, Heeyong & Song, Young-Keun & Lee, Sungjoo, 2016. "Identifying emerging core technologies for the future: Case study of patents published by leading telecommunication organizations," Telecommunications Policy, Elsevier, vol. 40(10), pages 956-970.
    43. Choi, Jinho & Hwang, Yong-Sik, 2014. "Patent keyword network analysis for improving technology development efficiency," Technological Forecasting and Social Change, Elsevier, vol. 83(C), pages 170-182.
    44. Dubaric, Ervin & Giannoccaro, Dimitris & Bengtsson, Rune & Ackermann, Thomas, 2011. "Patent data as indicators of wind power technology development," World Patent Information, Elsevier, vol. 33(2), pages 144-149, June.
    45. Song, Kisik & Kim, Karp Soo & Lee, Sungjoo, 2017. "Discovering new technology opportunities based on patents: Text-mining and F-term analysis," Technovation, Elsevier, vol. 60, pages 1-14.
    46. Horbach, Jens, 2008. "Determinants of environmental innovation--New evidence from German panel data sources," Research Policy, Elsevier, vol. 37(1), pages 163-173, February.
    47. Park, Yongtae & Yoon, Byungun & Lee, Sungjoo, 2005. "The idiosyncrasy and dynamism of technological innovation across industries: patent citation analysis," Technology in Society, Elsevier, vol. 27(4), pages 471-485.
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    7. Grigorescu Adriana & Ion Amalia Elena, 2020. "Innovation and product management – The direction of the 21st century luxury market," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 1035-1045, July.
    8. Pinto, Marcelo Rezende & Salume, Paula Karina & Barbosa, Marcelo Werneck & de Sousa, Paulo Renato, 2023. "The path to digital maturity: A cluster analysis of the retail industry in an emerging economy," Technology in Society, Elsevier, vol. 72(C).
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