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CfP Electronic Markets: "Artificial Intelligence in Electronic Marketplaces"

  • 1.  CfP Electronic Markets: "Artificial Intelligence in Electronic Marketplaces"

    Posted 07-09-2025 03:57

    --- Apologies for cross-postings---

    Dear colleagues,

    Electronic Markets is inviting submissions for a Special Issue on "Artificial Intelligence in Electronic Marketplaces". Please find further details below.

    Call for Papers: "Artificial Intelligence in Electronic Marketplaces"
    Submission deadline: January 15, 2026

    Guest Editors

    Theme

    The integration of artificial intelligence (AI) into electronic marketplaces-digital trading platforms facilitating networked business interactions-marks a transformative shift in how enterprises operate and compete (Alt, 2021). These marketplaces rely on information and communication technology (ICT) to enable efficient, scalable exchanges between multiple suppliers and customers (Al-Surmi et al., 2022). AI enhances these systems through capabilities like predictive analytics, automated decision-making, and intelligent optimization, driving innovation in operational efficiency and user experience (Black et al., 2024; Janiesch et al., 2021; Pinski et al., 2024).

    Electronic marketplaces, as dynamic digital trading platforms, face multifaceted challenges in managing their complex, multi-participant environments, including both centralized and decentralized structures (Sun et al., 2025). Efficiently onboarding and managing participants while ensuring compliance and security through robust surveillance mechanisms is paramount (Massaro, 2023). The vast troves of transaction data generated present both an opportunity and a challenge, necessitating advanced analytical capabilities to derive actionable insights and provide personalized user experiences. Optimizing pricing strategies dynamically and automating trading operations are critical for maintaining competitiveness and operational efficiency. Furthermore, seamless integration with other digital platforms is essential for expanding market reach and functionality, particularly in multi-platform ecosystems. Leveraging emerging AI technologies, such as generative and agentic AI, can drive innovation and enhance platform capabilities (López, 2021). Underpinning all these efforts is the imperative to ensure fairness and mitigate bias in AI-driven processes, thereby fostering trust and equitable outcomes for all participants (Fazelpour and Danks, 2021).

    This special issue, "Artificial Intelligence in Electronic Marketplaces", aims to explore and advance AI applications to address these challenges within electronic marketplaces (Brasse, 2023). Our purpose is to curate cutting-edge research that provides actionable insights into enhancing the efficiency, security, and fairness of these platforms (Bawack, 2022). The objectives are to foster interdisciplinary research, provide a platform for innovative studies, and offer practical implications for platform operators, users, and policymakers. The scope encompasses theoretical and empirical studies at the intersection of AI, ICT, and electronic marketplaces, focusing on practical and innovative applications (Zhou et al., 2022). The potential impact includes improving platform operations, enhancing user experience, and informing regulatory frameworks, thereby contributing to the advancement of electronic marketplaces.

    Central issues and topics

    In this special issue, "electronic marketplaces" refer to digital trading platforms that facilitate networked business interactions between multiple suppliers and customers for economic purposes. This definition aligns with the narrow sense of electronic marketplaces as defined by Electronic Markets (EM), focusing specifically on trading platforms rather than broader inter-organizational systems such as supply chain management, e-commerce, or procurement systems. We invite original research papers that investigate AI's role in addressing key challenges and enhancing electronic marketplaces. Submissions should focus on, but are not limited to, the following themes:

    • AI-driven onboarding and management of platform participants
    • AI-based surveillance and monitoring of platform operations
    • AI techniques for analyzing and deriving insights from platform transaction data
    • AI-powered product recommendation systems for electronic marketplaces
    • AI algorithms for dynamic pricing in electronic marketplaces
    • automation of trading operations and Procedures using AI
    • AI approaches for integrating electronic marketplaces with other digital platforms
    • Application of generative AI and agentic AI in electronic marketplaces
    • AI solutions for decentralized electronic marketplaces
    • AI methods to ensure fairness and mitigate bias in electronic marketplaces

    Submission

    Submissions should be original, unpublished, and not under consideration at any other journal. Quantitative and qualitative research methods are welcome, provided the research exhibits strong methodological rigor. Contributions include conceptual and theoretical development papers, empirical hypothesis testing, position papers, case-based studies, and more. All papers will undergo a double-anonymized 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. 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
    artificial intelligence; electronic marketplaces; trading platforms; AI applications; platform operations; data analysis; product recommendations; dynamic pricing; automation; fairness

    Important deadline
    * Submission Deadline: January 15, 2026

    References

    • Alt, R. (2021). Electronic Markets on digital platforms and AI. Electronic Markets, 31, 233-241. https://doi.org/10.1007/s12525-021-00489-w
    • Al-Surmi, A., Bashiri, M., & Koliousis, I. (2022). AI based decision making: combining strategies to improve operational performance. International Journal of Production Research, 60(14), 4464-4486. https://doi.org/10.1080/00207543.2021.1966540
    • Bawack, R. E., Wamba, S. F., Carillo, K. D. A., & Akter, S. (2022). Artificial intelligence in E-Commerce: a bibliometric study and literature review. Electronic markets, 32(1), 297-338. https://doi.org/10.1007/s12525-022-00537-z
    • Black, S., Samson, D., & Ellis, A. (2024). Moving beyond 'proof points': Factors underpinning AI-enabled business model transformation. International Journal of Information Management, 77, 102796. https://doi.org/10.1016/j.ijinfomgt.2024.102796
    • 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. https://doi.org/10.1007/s12525-023-00644-5
    • Fazelpour, S., & Danks, D. (2021). Algorithmic bias: Senses, sources, solutions. Philosophy Compass, 16(8), e12760. https://doi.org/10.1111/phc3.12760
    • Janiesch, C., Zschech, P., & Heinrich, K. (2021). Machine learning and deep learning. Electronic markets, 31(3), 685-695. https://doi.org/10.1007/s12525-021-00475-2
    • López Jiménez, D., Dittmar, E. C., & Vargas Portillo, J. P. (2021). New directions in corporate social responsibility and ethics: codes of conduct in the digital environment. Journal of Business Ethics, 1-11. https://doi.org/10.1007/s10551-021-04753-z
    • Massaro, M. (2023). Digital transformation in the healthcare sector through blockchain technology. Insights from academic research and business developments. Technovation, 120, 102386. https://doi.org/10.1016/j.technovation.2021.102386
    • Pinski, M., Hofmann, T., & Benlian, A. (2024). AI Literacy for the top management: An upper echelons perspective on corporate AI orientation and implementation ability. Electronic Markets, 34(1), 24. https://doi.org/10.1007/s12525-024-00707-1
    • Sun, W., Ren, S., & Tang, G. (2025). In the era of responsible artificial intelligence and digitalization: business group digitalization, operations and subsidiary performance. Annals of Operations Research, 1-23. https://doi.org/10.1007/s10479-024-06453-z
    • Zhou, G., Liu, L., & Luo, S. (2022). Sustainable development, ESG performance and company market value: Mediating effect of financial performance. Business Strategy and the Environment, 31(7), 3371-3387. https://doi.org/10.1002/bse.3089

    Best regards,

    Rainer Alt, Mathias Klier, Maria Madlberger, Hans-Dieter Zimmermann, Ramona Coia

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    Electronic Markets - The International Journal on Networked Business

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    Editor-in-Chief: Rainer Alt, Leipzig University

    Co-Editors: Mathias Klier, Ulm University; Maria Madlberger, Webster Vienna Private University; Hans-Dieter Zimmermann, Eastern Switzerland University of Applied Sciences

    Executive Editor: Ramona Coia, Leipzig University

    Editorial Office:

    c/o Information Systems Institute
    Leipzig University 
    04109 Leipzig, Germany
    Mail: editors@electronicmarkets.org
    Phone: +49-341-9733600

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    Electronic Markets
    Leipzig University of Applied Sciences
    Leipzig
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