[AISWorld] CFP Electronic Markets AI in theFuture of Work

Wed Oct 16 12:27:16 EDT 2024

Colleagues,
We have a special on AI and the Future of Work in Digital Platforms in
Electronic Markets.  Manuscripts are due May 31, 2025.
Please see potential papers, submissions procedure to EM and due date of
May 31, 2025.
Jerry Fjermestad
Soo II Shin
Haejung Yun

*Electronic Markets – The International Journalon Networked Business*

*Call for Papers*

*AI and the Future of Work in Digital Platforms*

*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

*Submission*

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, 233-241.

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(1), 26.

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.

Dignum, V. (2018). Ethics in artificial intelligence: introduction to the
special issue. Ethics and Information Technology, 20(1), 1-3.

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.

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.

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.

Lutz, C. (2019). Digital inequalities in the age of artificial intelligence
and big data. Human Behavior and Emerging Technologies, 1(2), 141-148.

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, 1-27.

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.
-- 
[image: NJIT logo] <https://www.njit.edu/> *Jerry Fjermestad, Ph.D. *
Professor of MIS
MT School of Management
jerry at njit.edu <jerry.l.fjermestad at njit.edu> • (973) 596-3255 <9735963255>