Does the innovation-orientation lead to retail industry growth? Empirical evidence from patent analysis
Pantano, Eleonora, Priporas, Constantinos-Vasilios ORCID: https://orcid.org/0000-0003-1061-4279, Sorace, Stefano and Iazzolino, Gianpaolo
(2017)
Does the innovation-orientation lead to retail industry growth? Empirical evidence from patent analysis.
Journal of Retailing and Consumer Services, 34
.
pp. 88-94.
ISSN 0969-6989
[Article]
(doi:10.1016/j.jretconser.2016.10.001)
|
PDF
- Final accepted version (with author's formatting)
Available under License Creative Commons Attribution-NonCommercial-NoDerivatives 4.0. Download (517kB) | Preview |
Abstract
Competitiveness and complexity in the retail industry are increasing due to rapid technological changes and diffusion. Patent analysis is largely used in innovation studies to assess and monitor technological changes in different sectors. The aim of this paper is to provide a comprehensive view of the innovative forces affecting the retailing sector, by focusing on the evaluation of innovation levels through the classification and analysis of patented innovations. The findings show that retailers might shift to more innovation-oriented strategies in order to propose innovative consumer solutions, due to the support of the technology advancements highlighted by the strong patent track record. Our study contributes to the literature by providing empirical evidence of critical areas for innovation in retailing and by offering bibliometric and patent analytical methods measures relative to the innovative forces affecting retailing, which might push the sector to be increasingly an innovation-oriented one. Finally, the high level of property rights (defined by the huge amount of patents) pushes retailers to invest more on acquiring patented technologies to achieve advantages over competitors or to adopt novel management practices as substitutes for patents.
Item Type: | Article |
---|---|
Research Areas: | A. > Business School > Marketing, Branding and Tourism |
Item ID: | 22430 |
Notes on copyright: | © 2017 Elsevier Ltd. This author's accepted manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Useful Links: | |
Depositing User: | Eleonora Pantano |
Date Deposited: | 01 Sep 2017 14:52 |
Last Modified: | 29 Nov 2022 21:19 |
URI: | https://eprints.mdx.ac.uk/id/eprint/22430 |
Actions (login required)
![]() |
View Item |
Statistics
Additional statistics are available via IRStats2.