Implications of Artificial Intelligence (AI) for Decision-Making and the Future of Work

  in Special Issue   Posted on September 28, 2020

Information for the Special Issue

Special Issue Call for Papers:

By 2025, nearly a quarter (24%) of global GDP will come from digital technologies such as AI (World Economic Forum). AI has been claimed to offer almost unlimited potential across sectors and industries, ranging from reinventing business models to redesigning the customer experience to decision-making (Duan et al., 2019) to changing the nature and the future of work (Schwartz et al., 2019).

AI in the workplace environment may affect the nature of work, replace specific roles currently performed by humans, or even better, enhance human capabilities (e.g. AI-enabled recruiting) (Dwivedi et al., 2019). It is estimated that till 2030, automation and AI will significantly impact the one third of our work activities (Manyika et al., 2017). This means that the current way we work and operate might be altered radically, which can potentially cause significant societal changes.

· Challenges of AI in decision making

  • AI in society and discriminatory bias
  • Ethical, policy and governance implications
  • AI decision-making
  • Trust and transparency of AI-based decision making
  • Digital transformation via AI
  • AI and its impact on the nature and future of work
  • Social, behavioral, and economic implications of AI
  • AI-enabled changes to business strategy, business models and ecosystems
  • AI-enabled changes to innovation and value creation processes
  • Challenges and implications for Information Systems research

Forms of Submission

This Special Issue will consist of invited papers that are extended or modified versions of selected papers accepted at the 20th IFIP I3E Conference on e-Business, e-Services and e-Society (, Galway, Ireland. The submission will be a substantial revision of the conference publication, and the authors will be required to submit a letter detailing the difference between their conference paper and the new version. The invited papers will go through peer review; if an invited conference paper does not receive a satisfactory review, the paper will not be considered for the Special Issue.

Submission Instruction

Manuscripts must be submitted in PDF format to the International Journal of Information Management online submission system at

Authors should select “SI: Decisions & Work”, from the “Choose Article Type” pull- down menu during the submission process. All contributions must not have been previously published or be under consideration for publication elsewhere.

Paper submissions must conform to the format guidelines of International Journal of Information Management available at

International Journal of Information Management

Important dates

  • Submission deadline: 30th November 2021
  • Notification of first round reviews: 31st January 2022
  • Revised Manuscripts due: 31st March 2022
  • Notification of second round reviews: 31st May 2022
  • Final Version Due: 31st July 2022

Guest Editors

  • Denis Dennehy: ( National University of Ireland Galway, Ireland
  • Anastasia Griva: ( National University of Ireland Galway, Ireland
  • Nancy Pouloudi: ( Athens University of Economics and Business, Greece
  • Matti Mäntymäki: ( University of Turku, Finland
  • Ilias Pappas: (Ilias Pappas


Davenport, T. 2018. The AI advantage: How to put the artificial intelligence revolution to work, MIT Press.

Duan, Y., Edwards, J.S. and Dwivedi, Y.K., 2019. Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda. International Journal of Information Management, 48, pp.63-71.

Dwivedi, Y.K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A. and Galanos, V., 2019. Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, p.101994. DoI:

Manyika, J., Lund, S., Chui, M., Bughin, J., Woetzel, J., Batra, P., Ko, R. and Sanghvi, S., 2017. Jobs lost, jobs gained: Workforce transitions in a time of automation. McKinsey Global Institute, 150

Schwartz, J. Hagel, J. Wool, M. and Monahan, K. 2019. “Reframing the future of work” February 19. MIT Sloan Management Review.

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