Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization
Erin E. Makarius,
Debmalya Mukherjee,
Joseph D. Fox and
Alexa K. Fox
Journal of Business Research, 2020, vol. 120, issue C, 262-273
Abstract:
Artificial intelligence (AI) is increasingly being adopted by organizations, yet implementation is often carried out without careful consideration of the employees who will be working along with it. If employees do not understand or work with AI, it is unlikely to bring value to an organization. The purpose of this paper is to investigate the ways in which employees and AI can collaborate to build different levels of sociotechnical capital. Accordingly, we develop a model of AI integration based on Socio-Technical Systems (STS) theory that combines AI novelty and scope dimensions. We take an organizational socialization approach to build an understanding of the process of integrating AI into the organization. Our framework underscores the importance of AI socialization as a core process in successfully integrating AI systems and employees. We conclude with a future research agenda that highlights the cognitive, relational, and structural implications of integrating AI and employees.
Keywords: Artificial intelligence; Machine learning; Neural networks; Automation and robots; Sociotechnical capital; Organizational socialization (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (53)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296320305002
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:120:y:2020:i:c:p:262-273
DOI: 10.1016/j.jbusres.2020.07.045
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().