Man and Machine: AR-based Vocational Training for Tacit Knowledge Tasks

Pfaff, Alexander und Spann, Martin (2024): Man and Machine: AR-based Vocational Training for Tacit Knowledge Tasks. 32nd European Conference on Information Systems (ECIS 2024), Paphos, Cyprus, 13.06. - 19.06.2024. In: ECIS 2024 Proceedings,

Abstract

Vocational trainings play a crucial role in conveying task-related knowledge to incoming workforce. A type of knowledge which is particularly valuable yet challenging and costly to convey is tacit knowledge (TK), i.e., person-bound, non-verbalized knowledge. Augmented Reality (AR) is an innovative technology with the potential to enhance the conveyance of TK in a cost-effective way. By overlaying virtual instructions onto trainees' real-world environment in real time, AR can provide interactive training for TK tasks. To investigate how AR can effectively complement human instructors in conveying TK, we conduct a randomized, controlled field experiment with vocational trainees of a Western-European utility company. We find that TK is most effectively conveyed if AR-based training is implemented as a prequel to human instructor-based training. Our results imply that complementary AR-based training allows organizations to train their workforce effectively and to deploy their valuable human resources more efficiently.

• Dokumententyp: Konferenzbeitrag (Paper)
• Fakultät: Betriebswirtschaft > Institut für Electronic Commerce und Digitale Märkte
• Themengebiete: 300 Sozialwissenschaften > 330 Wirtschaft
• Sprache: Englisch