Guest Editors
Michael Wessel, Copenhagen Business School, Denmark
Martin Adam, Darmstadt University of Technology, Germany
Alexander Benlian, Darmstadt University of Technology, Germany
Ann Majchrzak, University of Southern California, Marshall School of Business, USA
Ferdinand Thies, Bern University of Applied Sciences, Switzerland
Link to an extended version of this CfP: https://www.jmis-web.org/cfps/JMIS_SI_CfP_Generative_AI.pdf
Motivation
In this special issue, we focus on the opportunities and challenges that Generative AI poses for digital platforms. Over the past two decades, social media platforms such as Twitter and YouTube, mobile app platforms such as Apple's App Store, e-commerce platforms such as Amazon, freelance platforms such as Upwork, and sharing economy platforms such as Airbnb and Uber have reshaped and disrupted entire industries. What these platform companies have in common is that they create value by facilitating interactions and the exchange of goods and services between two or more groups that would have been difficult or impossible to connect in the absence of the platform. Information systems (IS) scholars have made important contributions to the literature on digital platforms, much of which has been focused on the complex relationship between the triumvirate of users, complementors (i.e., those who contribute content to the platforms such as app developers or video creators), and the platform provider, which together form the platform ecosystem.
Focus
Rather than addressing the operational and tactical merits of Generative AI, this special issue provides a dedicated forum for IS and other scholars to engage in an important dialogue on its strategic and managerial implications. In particular, we are interested in the transformative value of Generative AI for digital platforms and the impact of Generative AI on the various stakeholders in a digital platform ecosystem, including complementors, users, and platform providers.
Possible Topics
The focus of this special issue is to stimulate innovative investigation of the transformative value of Generative AI for digital platforms at or between all levels of analysis. Digital platforms should be the empirical setting.
All lenses of inquiry into the disruptive nature and impact of Generative AI for digital platforms are encouraged, including strategic, organizational, behavioral, economic, and technical perspectives. We welcome theoretical, analytical, and empirical (including trace data from platforms, surveys, experiments, simulations, qualitative data, case studies, and secondary data from organizational, market, and regulatory sources) contributions to the special issue. Consistent with the policies of JMIS, the papers should aim to make a significant novel contribution to the IS field.
A list of possible research areas are included in: https://www.jmis-web.org/cfps/JMIS_SI_CfP_Generative_AI.pdf
Timeline
Authors are encouraged to submit a two-page extended abstract prior to submission of the full paper to get feedback from the Guest Editors on the fit with the special issue. The optional abstract should clearly present the research question, theory, method, and expected contribution and can be submitted any time before September 15, 2023 for initial guidance but without formal peer review.
Papers will be processed as they are received. The editorial timeline will proceed as follows:
Full paper submission opens: September 15, 2023
Full paper submission deadline: January 15, 2024
First round of reviews completed: April 15, 2024
Paper revisions due: August 15, 2024
Second round of reviews completed: October 15, 2024
Second paper revisions due: December 15, 2024
Final decision: Early 2025
Submission
Please send abstracts, queries, and submissions to: JMIS.GenerativeAI@gmail.com
Submissions must use the following subject line: "JMIS SI Generative AI Submission." All submissions must be original and may not be under review elsewhere. For the format of the papers, please follow the guidelines on the JMIS website.
Sincerely,
Michael Wessel, Copenhagen Business School, Denmark
Martin Adam, Darmstadt University of Technology, Germany
Alexander Benlian, Darmstadt University of Technology, Germany
Ann Majchrzak, University of Southern California, Marshall School of Business, USA
Ferdinand Thies, Bern University of Applied Sciences, Switzerland
<quillbot-extension-portal></quillbot-extension-portal>