-------- Forwarded Message -------- Subject: [WI] CFP for JMIS SI on "Generative AI and its Transformative Value for Digital Platforms" Date: Tue, 16 May 2023 12:45:12 +0000 From: Adam, Martin adam@ise.tu-darmstadt.de Reply-To: Adam, Martin adam@ise.tu-darmstadt.de To: wi@lists.kit.edu wi@lists.kit.edu
Sehr geehrte Damen und Herren,
wir möchten Sie aufmerksam machen auf das *Special Issue zu "Generative AI and its Transformative Value for Digital Platforms" im Journal of Management Information Systems (JMIS).*
*Full paper submission deadline: January 15, 2024*
Wir freuen uns über zahlreiche Einreichungen aus der Community.
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
Motivation
----------------------------
Generative AI has the potential to fundamentally transform the way people create and consume content online. Unlike previous generations of AI systems, which were primarily designed to recognize patterns and make predictions, Generative AI synthesizes the data it has been trained on and creates content in the form of images, text, audio, video, and more that is similar to content created by human experts ? but in much less time, at a fraction of the cost, and with amazing creativity.
IS researchers have contributed important insights on fundamental questions regarding the implications of AI for business as well as how the technology could and should be managed. However, with the emergence of Generative AI, new research avenues are opening up, providing an opportunity for IS scholars to conduct leading research on the transformative and value-creating capacity of this fascinating technology, especially with regard to digital platforms. As a disruptive technology, Generative AI can enable truly innovative services and business models that engage all platform stakeholders in unprecedented ways. It could disrupt entire platform industries, sending them into a downward spiral while providing groundbreaking opportunities for others. Despite this promise as a game changer, the interplay between the Generative AI?s inherent potential and its transformative value for digital platforms is poorly understood and requires further research. This is an area where IS sc!
holars are well-equipped to contribute to the discussion through cutting-edge research.
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
All information on the Call for Papers can be found via the following link:
https://jmis-web.org/cfps/JMIS_SI_CfP_Generative_AI.pdf https://jmis-web.org/cfps/JMIS_SI_CfP_Generative_AI.pdf
*Dr. Martin Adam *
*Fachgebiet Wirtschaftsinformatik: Information Systems & E-Services*
Fachbereich 1 - Rechts- und Wirtschaftswissenschaften Technische Universität Darmstadt | Hochschulstraße 1 |
D-64289 Darmstadt | Germany
Tel. +49 (0)6151 16-24311 tel:+4961511624311| Fax +49 (0)6151 16 4301
adam@ise.tu-darmstadt.de mailto:adam@ise.tu-darmstadt.de| https://www.ise.tu-darmstadt.de/ https://www.ise.tu-darmstadt.de/
Selected Projects:
DFG: Accountable Artificial Intelligence-based Systems: A Multi-Perspective Analysis (AAIS) https://www.ise.tu-darmstadt.de/ise_research/researchprojects/menue_aais/site_aais.en.jsp
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