Navigating the Crossroads of Technology and Social Responsibility of Firms

Dear Colleagues,

With a foundation built on the recognized importance of corporate social responsibility (CSR) (Carroll and Shabana, 2010), this Topic aims to interrogate the evolving dynamics of CSR in the contemporary digital milieu. Inspired by Bessen's (2018) and Frank’s (2019) explorations of AI and job insecurity, we intend to delve deeper into the intricate relationship between AI, job insecurity, and CSR. By building upon the work of D'Arcy et al. (2014) and Mylonas et al. (2013), the issue further expands to investigate cyber and general security behavior in the context of technological advances. Furthermore, incorporating insights from Frank et al. (2020) and Elhai et al. (2017), we aim to present an in-depth analysis of the implications of these factors for employee mental health. Summary: In this era of digital transformation, our understanding of corporate responsibility is undergoing substantial change. Using Agrawal et al.'s (2019) work on the economics of AI as a starting point, this Topic will delve into the complex relationship between AI in the workplace, job insecurity, and cyber and general security behavior. By combining empirical research, case studies, and theoretical insights, we aim to present an enhanced understanding of the need to reassess CSR strategies amidst rapid technological changes. This Topic, therefore, is positioned to provide fresh perspectives to academics, researchers, practitioners, and policymakers interested in these intersections. Keywords: corporate social responsibility; artificial intelligence at work; job insecurity; cyber security behavior; security behavior; technological advances at work; mental health (depression and anxiety); workplace technology.

References:

Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction machines: the simple economics of artificial intelligence. Harvard Business Press.

Bessen, J. (2018). Artificial intelligence and jobs: The role of demand. In The economics of artificial intelligence: an agenda (pp. 291–307). University of Chicago Press.

Carroll, A. B., & Shabana, K. M. (2010). The business case for corporate social responsibility: A review of concepts, research and practice. International journal of management reviews, 12(1), 85–105.

Chui, M., Manyika, J., & Miremadi, M. (2018). What AI can and can’t do (yet) for your business. McKinsey Quarterly, 1(97–108).

D'Arcy, J., Hovav, A., & Galletta, D. (2009). User awareness of security countermeasures and its impact on information systems misuse: A deterrence approach. Information systems research, 20(1), 79–98.

Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of affective disorders, 207, 251–259.

Frank, M. R., Autor, D., Bessen, J. E., Brynjolfsson, E., Cebrian, M., Deming, D. J., & Rahwan, I. (2019). Toward understanding the impact of artificial intelligence on labor. Proceedings of the National Academy of Sciences, 116(14), 6531–6539.

Mylonas, A., Kastania, A., & Gritzalis, D. (2013). Delegate the smartphone user? Security awareness in smartphone platforms. Computers & Security, 34, 47–66.

I look forward to receiving your contributions.

Prof. Dr. Kim Byung-Jik
Dr. Joong-Hak Lee
Topic Editors