Call for Papers

CfP special issue on "AI and the Future of Work in Digital Platforms"

Submission deadline: May 31, 2025

Guest Editors

* Jerry Fjermestad, New Jersey Institute of Technology (NJIT), USA, jerry(at)njit.edu
* Soo Il Shin, Kennesaw State University, USA, sshin12(at)kennesaw.edu
* Haejung Yun, Ewha Womans University, South Korea, yunhj(at)ewha.ac.kr

Theme

Artificial intelligence (AI) and digital platforms have a profound impact on human society and the work ecosystem. Among the examples are notions like the gig economy and systems like crowdworking platforms, which reshape various facets of work, from the individual to societal and technological levels. Emerging AI technologies have revolutionized how businesses operate, enabling the rise of the knowledge worker who thrives on information-rich tasks. They complement digital platforms, which support the coordination among multiple suppliers and customers that interact for economic purposes within one or among multiple tiers in economic value chains.

We have acknowledged that the mere existence of advanced technologies, such as AI technologies and digital platforms, and a skilled labor pool does not automatically translate into operational efficiency or innovation. These technological advancements should align with insights from human and societal aspects of workforce engagement to maximize the benefits of the dynamic for the current and future of work (FOW). Addressing issues like cybercrime, ethics, privacy, trust and security is also essential for the well-being of future workforces.

Central issues and topics

The special issue seeks original research that advances the discourse on the interplay of AI-enabled human-technology collaboration and digital platforms, thereby creating more equitable and productive work environments that show the capacity for the FOW. It comprises various topics to explore different dimensions of the digital work landscape. All forms of research-including qualitative, quantitative, experimental, and case studies-are welcome and the list of topics includes, but is not limited to:

  • Application of generative AI in FOW
  • AI robotics human-computer interaction in FOW
  • AI ethics in digital platforms for FOW
  • Security and privacy in digital platforms for FOW
  • Team creativity and collaboration with AI in FOW
  • Virtual collaboration with AI in FOW
  • Forms and functionality of crowdworking platforms
  • Future working relationships in digital platforms
  • AI in gig economy platforms in FOW
  • AI-oriented online workforce platforms in FOW
  • AI-based social networks platforms for FOW
  • Virtual and augmented reality supported by AI in FOW
  • AI-based service agents in FOW platforms
  • AI design and implementation for FOW platforms

Submissions

Electronic Markets is a Social Science Citation Index (SSCI)-listed journal (IF 7.1 in 2023) in the area of information systems. We encourage original contributions with a broad range of methodological approaches, including conceptual, qualitative and quantitative research. Please also consider position papers and case studies for this special issue. Submissions should be original, unpublished, and not under consideration at any other journal.

All papers should fit the journal scope (for more information, see https://www.electronicmarkets.org/about-em/scope/) and will undergo a double-blind peer-review process. Submissions must be made via the journal’s submission system (elma.edmgr.com) and comply with the journal's formatting standards. The preferred average article length is approximately 10,000 words, excluding references. Instructions, templates and general information are available at https://www.electronicmarkets.org/authors/general-information/. If you would like to discuss any aspect of this special issue, you may either contact the guest editors or the Editorial Office.

Keywords

AI, Future of Work, Digital Platforms

Important deadline

* Submission Deadline: May 31, 2025

References

Alt, R. (2021). Electronic Markets on digital platforms and AI. Electronic Markets, 31(2), 233-241. https://doi.org/10.1007/s12525-021-00489-w

Brasse, J., Broder, H. R., Förster, M., Klier, M., & Sigler, I. (2023). Explainable artificial intelligence in information systems: A review of the status quo and future research directions. Electronic Markets, 33, 26. https://doi.org/10.1007/s12525-023-00644-5

Brougham, D., & Haar, J. (2018). Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees’ perceptions of our future workplace. Journal of Management & Organization, 24(2), 239-257. https://doi.org/10.1017/jmo.2016.55

Dignum, V. (2018). Ethics in artificial intelligence: introduction to the special issue. Ethics and Information Technology, 20(1), 1-3. https://doi.org/10.1007/s10676-018-9450-z

Fügener, A., Grahl, J., Gupta, A., & Ketter, W. (2022). Cognitive challenges in human–artificial intelligence collaboration: Investigating the path toward productive delegation. Information Systems Research, 33(2), 678-696. https://doi.org/10.1287/isre.2021.1079

Klumpp, M. (2018). Automation and artificial intelligence in business logistics systems: human reactions and collaboration requirements. International Journal of Logistics Research and Applications, 21(3), 224-242. https://doi.org/10.1080/13675567.2017.1384451

Lukyanenko, R., Maass, W., & Storey, V. C. (2022). Trust in artificial intelligence: From a Foundational Trust Framework to emerging research opportunities. Electronic Markets, 32(4), 1993-2020. https://doi.org/10.1007/s12525-022-00605-4

Lutz, C. (2019). Digital inequalities in the age of artificial intelligence and big data. Human Behavior and Emerging Technologies, 1(2), 141-148. https://doi.org/10.1002/hbe2.140

Mirbabaie, M., Brünker, F., Möllmann, N. R., & Stieglitz, S. (2022). The rise of artificial intelligence–understanding the AI identity threat at the workplace. Electronic Markets, 32(1), 1-27. https://doi.org/10.1007/s12525-021-00496-x

Nabi, M. K. (2019). The impact of artificial intelligence (AI) on workforce in emerging economies. Global Journal of Management and Business Research, 19(8), 71-78.