The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential
Open accessAbstract
Abstract Artificial intelligence (AI) and machine learning (ML) may save money and improve the efficiency of business processes, but these technologies can also destroy business value, sometimes with grave consequences. The inability to identify and manage that risk can lead some managers to delay the adoption of these technologies and thus prevent them from realizing their potential. This article proposes a new framework by which to map the components of an AI solution and to identify and manage the value-destruction potential of AI and ML for businesses. We show how the defining characteristics of AI and ML can threaten the integrity of the AI system’s inputs, processes, and outcomes. We then draw from the concepts of value-creation content and value-creation process to show how these risks may hinder value creation or even result in value destruction. Finally, we illustrate the application of our framework with an example of the deployment of an AI-powered chatbot in customer service, and we discuss how to remedy the problems that arise.
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Cites
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Cited by
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
“…affected many fields, such as business research, which has picked up on the topic, and AI is now researched from a more holistic perspective (e.g. Canhoto and Clear, 2020; Dirican, 2015; Soni et al., 2020), with SCM being recognised as one of the fields most likely to profit from AI applications.”
Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023) · Human Resource Management Review · doi:10.1016/j.hrmr.2022.100899 · Cited by 927
Makarius, E. E., Mukherjee, D., Fox, J. D., & Fox, A. K. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.07.045 · Cited by 780
Artificial intelligence and knowledge management: A partnership between human and AI
Jarrahi, M. H., Askay, D., Eshraghi, A., & Smith, P. (2023) · Business Horizons · doi:10.1016/j.bushor.2022.03.002 · Cited by 604
Köchling, A., & Wehner, M. C. (2020) · Business Research · doi:10.1007/s40685-020-00134-w · Cited by 511
Metadata
- Authors
- Canhoto, A. I., & Clear, F.
- Venue
- Business Horizons
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 63
- Issue
- 2
- Pages
- 183-193
- ISSN
- 0007-6813 (ISSN-L)
- OpenAlex
- W2996510345
- Cited by
- 375
- References
- 49
- FWCI
- 13.81
- Type
- journal article
- Language
- en
- Open access
- green
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