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Conceptualizing a Multi-Sided Platform for Cloud Computing Resource Trading

Title data

Haller, Franziska ; Schemmer, Max ; Kühl, Niklas ; Holtmann, Carsten:
Conceptualizing a Multi-Sided Platform for Cloud Computing Resource Trading.
2023
Event: The 31st European Conference on Information Systems (ECIS 2023) , 11.-16.06.2023 , Kristiansand, Norwegen.
(Conference item: Conference , Paper )

Official URL: Volltext

Abstract in another language

Cost-effective and responsible use of cloud computing resources (CCR) is on the business agenda of many companies. Despite this strategic goal, two geopolitical strategy decisions mainly influence the continuous existence of overcapacity: Europe’s General Data Protection Regulation and the US’s Cloud Act. Given the circumstances, a typical data center produces approximately 30% overcapacity annually. This overcapacity has severe environmental and economic consequences. Our work addresses this overcapacity by proposing a multi-sided platform for CCR trading. We initiate our research by conducting a literature review to explore the existing body of knowledge which indicates a lack of recent and evaluated platform design knowledge for CCR trading. We address this research gap by deriving design requirements and design principles. We instantiate and evaluate the design knowledge in a respective platform framework. Thus, we contribute to research and practice by deriving and evaluating design knowledge and proposing a platform framework.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Institutions of the University: Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Informatics and Human-Centered Artificial Intelligence
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Informatics and Human-Centered Artificial Intelligence > Chair Business Informatics and Human-Centered Artificial Intelligence - Univ.-Prof. Dr.-Ing. Niklas Kühl
Research Institutions > Central research institutes > Research Center for AI in Science and Society
Research Institutions
Research Institutions > Central research institutes
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 15 May 2023 08:13
Last Modified: 06 Nov 2025 08:02
URI: https://eref.uni-bayreuth.de/id/eprint/76426