The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
How Technology is Changing Retail
Abstract
Abstract Retailing is undergoing a remarkable transformation brought by recent advances in technology. In this paper, we provide a deep discussion of and look ahead on how technology is changing retail, starting with a classification of technologies that impact retailing, in particular, in the COVID-19 and beyond world. We discuss different theoretical frameworks or lenses to better understand the role of technology in retailing. We identify and elaborate on the drivers and outcomes of technology adoption by shoppers, retailers, employees, and suppliers. We speculate on future retail scenarios and outline future research avenues on technology and retailing. We close by concluding that technology is not only reshaping retailing, but also allowing retailing to pivot in the face of new and unforeseen circumstances.
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Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Technology Diffusion and Organizational Learning: The Case of Business Computing
Attewell, P. (1992) · Organization Science · doi:10.1287/orsc.3.1.1 · Cited by 1,401
Mende, M., Scott, M. L., van Doorn, J., Grewal, D., & Shanks, I. (2019) · Journal of Marketing Research · doi:10.1177/0022243718822827 · Cited by 1,197
Yim, M. Y.-C., Chu, S.-C., & Sauer, P. L. (2017) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2017.04.001 · Cited by 1,142
Hilken, T., de Ruyter, K., Chylinski, M., Mahr, D., & Keeling, D. I. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-017-0541-x · Cited by 693
Consumer and Object Experience in the Internet of Things: An Assemblage Theory Approach
Hoffman, D. L., & Novak, T. P. (2018) · Journal of Consumer Research · doi:10.1093/jcr/ucx105 · Cited by 668
Bues, M., Steiner, M., Stafflage, M., & Krafft, M. (2017) · Psychology & Marketing · doi:10.1002/mar.20981 · Cited by 110
Cited by
Camilleri, M. A. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123247 · Cited by 261
Szocs, C., Kim, Y., Lim, M., Mera, C. A., & Biswas, D. (2023) · Journal of Retailing · doi:10.1016/j.jretai.2023.11.005 · Cited by 70
How do cultural factors affect loyalty behaviour in retailing? The central role of social proximity
Charinsarn, A. R., Diallo, M. F., & Lambey-Checchin, C. (2023) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-09-2022-0314 · Cited by 15
Food Retail Resilience Pre-, during, and Post-COVID-19: A Bibliometric Analysis and Research Agenda
Pop, R.-A., Dabija, D.-C., & Pocol, C. B. (2024) · Foods · doi:10.3390/foods13020257 · Cited by 12
“Studies on purchasing behavior have explored the adoption and usage of new technologies, particularly delivery services, that were necessitated by the pandemic [15,16,53,83–85], as well as identifying factors that have influenced changing consumer behavior [62,68,70,73,86,87].”
Background
Metadata
- Authors
- Shankar, V., Kalyanam, K., Setia, P., Golmohammadi, A., Tirunillai, S., Douglass, T., Hennessey, J., Bull, J. S., & Waddoups, R.
- Venue
- Journal of Retailing
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 97
- Issue
- 1
- Pages
- 13-27
- ISSN
- 0022-4359 (ISSN-L)
- OpenAlex
- W3099093076
- Cited by
- 438
- References
- 7
- FWCI
- 49.27
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
