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Unlocking AI-based Knowledge Management Potential for SMEs: Exploring Semantic Search Adoption

Title data

Grüneke, Timo ; Guggenberger, Tobias ; Nusser, Jakob ; Oberländer, Anna Maria ; Stramm, Jan ; Varrentrapp, Alexander:
Unlocking AI-based Knowledge Management Potential for SMEs: Exploring Semantic Search Adoption.
In: Proceedings of the 19th International Conference on Wirtschaftsinformatik (WI). - Würzberg, Germany , 2024

Official URL: Volltext

Abstract in another language

Small and medium-sized enterprises (SME) thrive on knowledge-intensive operations, making effective knowledge management critical to their success. Contemporary developments, such as semantic search applications (SSA) leveraging artificial intelligence (AI), promise significant benefits for knowledge management. However, the adoption of such AI-based applications in the context of SME remains still notably limited. Building upon the groundwork laid by previous research on the socio-technical dimensions of AI adoption, we thus investigate the adoption of SSA in a multiple case study within the German manufacturing sector. Hence, contextualizing the adoption of SSA in SMEs using a grounded theoretical framework. Our findings highlight the intricate interplay of organizational readiness, external support, and user satisfaction in facilitating SSA adoption. We believe our framework holds significant potential to guide the adoption of SSA and thus offers valuable insights for navigating the complexities of harnessing the potential of AI-based applications for effective knowledge management in SMEs.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Semantic Search Application Adoption; Small and Mediumsized Enterprises; Knowledge Management; Multiple Case Study
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 04 Nov 2024 06:44
Last Modified: 04 Nov 2024 08:04
URI: https://eref.uni-bayreuth.de/id/eprint/90934