Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization

By Erin E. Makarius, D. Mukherjee, Joseph D. Fox, Alexa K. Fox. Journal of business research, 2020

567 citations recorded by the source corpus.

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.

Subfields: Management Information Systems, Safety Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/acc55db71e55f4c1f57837baf9e3ea3373187afe

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

1. Q. Liao
2. Mark O. Riedl
3. Upol Ehsan

In Safety Research

1. Q. Liao
2. Michael J. Muller
3. Justin D. Weisz
4. Mark O. Riedl

In Sociology and Political Science

1. Michael J. Muller
2. Q. Liao
3. Justin D. Weisz
4. Mark O. Riedl
5. Luca Pietrantoni
6. Upol Ehsan

Citations in the corpus

• The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations (2023, background): “According to Makarius et al. (2020), reskilling is crucial for companies looking to adopt AI as it helps employees develop the knowledge and skills they need to work effectively with the technology but in a new role.”
• Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis (2022, unknown): “Products, services, and business models can benefit from the integration of these technologies, wherein the convergence can digitally transform industrial corporations to drive the advancement of their business and pave their way into a new digital era (Makarius et al., 2020).”
• Expanding Explainability: Towards Social Transparency in AI systems (2021, background): “Otherwise one may risk deploying an AI system un-integrated into individual and organizational workflows [66, 106], potentially resulting in misuse, mistrust [108, 109], or having profound ethical risks and unintended consequences, especially for marginalized groups [72, 86, 99].”