The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Influence of new-age technologies on marketing: A research agenda
Abstract
Abstract This study focuses on four key new-age technologies – the Internet of Things, Artificial Intelligence, Machine Learning, and Blockchain – and their respective roles in marketing. Specifically, the study examines each of these four technologies in depth, to understand their key elements, the domains in which they operate, and current use cases pertaining to these technologies. The adoption of these new-age technologies is expected to have an impact on the outcomes for firms and customers. However, these are dynamically evolving technologies that have not yet been completely explored and whose full potential has yet to be uncovered. This study presents some research questions that are pertinent to key entities (firms, customers, intermediaries, developers, and regulators), and which merit deeper investigation in the future. This study also highlights major areas that need managerial focus in the adoption of these new-age technologies.
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Citations
Cites
Big data analytics and firm performance: Effects of dynamic capabilities
Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J.-F., Dubey, R., & Childe, S. J. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.08.009 · Cited by 2,474
Big data consumer analytics and the transformation of marketing
Erevelles, S., Fukawa, N., & Swayne, L. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2015.07.001 · Cited by 1,377
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Artificial Intelligence in Supply Chain Management: A Systematic Literature Review
Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.09.009 · Cited by 1,020
“The world has been moving towards a digital future over the years, and Industry 4.0 technologies are considered to be the way of the future (Kumar et al., 2020).”
InfluentialLeadership characteristics and digital transformation
Porfírio, J. A., Carrilho, T., Felício, J. A., & Jardim, J. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.10.058 · Cited by 406
Nikhashemi, S. R., Knight, H. H., Nusair, K., & Liat, C. B. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102464 · Cited by 366
How may I help you? Driving brand engagement through the warmth of an initial chatbot message
Kull, A. J., Romero, M., & Monahan, L. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.03.005 · Cited by 237
Ledro, C., Nosella, A., & Vinelli, A. (2022) · Journal of Business & Industrial Marketing · doi:10.1108/jbim-07-2021-0332 · Cited by 216
Metadata
- Authors
- Kumar, V., Ramachandran, D., & Kumar, B.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 125
- Pages
- 864-877
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W3001124561
- Cited by
- 492
- References
- 2
- FWCI
- 44.79
- Type
- journal article
- Language
- en
- Open access
- closed
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