Call for Papers
CfP special issue on "Cyberspace governance in the AI era"
Submission deadline: January 30, 2025
Guest Editors
* Xiao-Liang Shen, Wuhan University, P.R. China, xlshen(at)whu.edu.cn
* Jian Mou, Pusan National University, South Korea, jian.mou(at)pusan.ac.kr
* Emma Gritt, Leeds University, United Kingdom, E.L.J.Dunkerley(at)leeds.ac.uk
* Jin Li, Xi'an Jiaotong University, P.R. China, jinlimis(at)xjtu.edu.cn
* Wei He, Texas Tech University, USA, wei.he(at)ttu.edu
Theme
Cyberspace has offered unprecedented opportunities for the advancement of electronic markets and digital platforms, ranging from cultivating networked business endeavors and facilitating efficient knowledge management to enhancing public and business services. However, cyberspace also presents numerous risks and threats, including cyberattacks, corporate data breaches, consumer privacy invasion, supply chain vulnerabilities, misinformation and online fraud, market manipulation, and other concerns (e.g., Arechar et al., 2023; Li et al., 2022; Li et al., 2023). Notably, these issues not only significantly disrupt the digital landscape but also give rise to substantial risks for society, organizations, and individuals, as underscored by the United Nations (2020).
Cyberspace governance has established a secure, ethical, and efficient environment for the healthy development of electronic markets. By providing a framework for responsible behavior, it enables businesses to thrive within a trustworthy, transparent, and accountable digital platform ecosystem, ensuring data and systems security, user privacy, and fair competition. Meanwhile, with supply chains increasingly reliant on digital technologies, robust cyberspace governance strategies enhance supply chain visibility, safety, and resilience. Recently, the rapid advancement of big data and large language models has sparked a new wave of artificial intelligence (AI) revolution, bringing forth both fresh opportunities and challenges for cyberspace governance (Berente et al., 2021; Cheng et al., 2022).
Therefore, it is of paramount significance to explore the complex role of AI (Alt, 2022) in cyberspace governance in order to establish fair, secure, and responsible electronic markets. In pursuit of this objective, this special issue seeks contributions from technological, organizational, societal, and/or political perspectives to address the fundamental questions how cyberspace governance in the era of AI may impact electronic markets and networked business in general. Given the interdisciplinary and multifaceted nature of these topics, author teams with diverse backgrounds and contributions that advance state-of-the-art knowledge through integrative analytical perspectives are particularly encouraged. Through reshaping the discourse on cyberspace governance, these contributions are expected to have a profound impact on governments, society, organizations, and individuals. Collectively, these endeavors can pave the way for a more responsible and effective approach to cyberspace governance in the AI era.
Central issues and topics
Submissions are solicited specifically examining the intersection of cyberspace and digital platforms with governance issues and their connection to AI. Possible topics include, but are not limited to:
- Ethical considerations for AI-powered digital platforms and businesses
- Cross-platform AI integration and interoperability
- Algorithmic bias and FAT (fairness, accountability, and transparency) in AI
- AI-powered virtual collaboration
- Governance of digital platforms and supply chains
- Role of regulations for platform operators and gatekeepers
- Implications for business models and business services
- Data misuse and customer privacy in the age of AI
- Impact of AI on cybersecurity management
- Risk management and mitigation through AI
- Deepfakes and online fraud
- AI and online content moderation
- Automated governance and trustworthy AI
Submission
Electronic Markets is a Social Science Citation Index (SSCI)-listed journal (IF 8.5 in 2022) in the area of information management and information systems. Submissions should be original, unpublished, and not under consideration at any other journal. Both quantitative and qualitative research methods are welcome, provided the research exhibits strong methodological rigor. Contributions can take the form of conceptual and theoretical development papers, empirical hypothesis testing, position papers, case-based studies, and more. All papers should fit the journal's scope (for more information, see 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 (https://www.editorialmanager.com/elma/) and comply with the journal's formatting standards. Authors should clearly indicate that their submission is intended for the special issue on "Cyberspace Governance." The preferred average article length is approximately 10,000 words, excluding references. Instructions, templates, and general information are available at 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
Cyberspace governance, artificial intelligence, human-AI interaction, AI ethics, responsible AI
Important deadline
* Submission Deadline: January 30, 2025
References
Alt, R. (2022). Managing AI is managing complexity - An interview with Rahul C. Basole. Electronic Markets, 32(3), 1119-1125. https://doi.org/10.1007/s12525-022-00585-5.
Arechar, A. A., Allen, J., Berinsky, A. J., Cole, R., Epstein, Z., Garimella, K., Gully, A., Lu, J.G., Ross, R.M., Stagnaro, M.N., Zhang, Y., Pennycook, G., & Rand, D. G. (2023). Understanding and combatting misinformation across 16 countries on six continents. Nature Human Behaviour, 1-12. https://doi.org/10.1038/s41562-023-01641-6.
Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021). Managing artificial intelligence. MIS Quarterly, 45(3). https://doi.org/10.25300/MISQ/2021/16274.
Cheng, X., Lin, X., Shen, X. L., Zarifis, A., & Mou, J. (2022). The dark sides of AI. Electronic Markets, 32, 11-15. https://doi.org/10.1007/s12525-022-00531-5.
Li, J., Zhang, Y., & Mou, J. (2023). Understanding information disclosures and privacy sensitivity on short-form video platforms: An empirical investigation. Journal of Retailing and Consumer Services, 72, 103292. https://doi.org/10.1016/j.jretconser.2023.103292.
Li, Y. J., Cheung, C. M., Shen, X. L., & Lee, M. K. (2022). When socialization goes wrong: Understanding the we-intention to participate in collective trolling in virtual communities. Journal of the Association for Information Systems, 23(3), 678-706. https://doi.org/10.17705/1jais.00737.
United Nations. (2020). The impact of digital technologies. United Nations. Retrieved from https://www.un.org/en/un75/impact-digital-technologies.