Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/88290
Title: The use of blockchain-supported reward systems for knowledge transfer between generations
Authors: Pfeiffer, Alexander
Bezzina, Stephen
Wernbacher, Thomas
Vella, Vince
Dingli, Alexiei
Serada, Alesja
Keywords: Blockchains (Databases)
Artificial intelligence
Gamification
Learning models (Stochastic processes)
Knowledge management
Issue Date: 2020
Publisher: Academic Conferences International Limited
Citation: Pfeiffer, A., Bezzina, S., Wernbacher, T., Vella, V., Dingli, A., & Serada, A. (2020). The use of blockchain-supported reward systems for knowledge transfer between generations. 21st European Conference on Knowledge Management ECKM 2020. 620-629.
Abstract: An important aspect of knowledge management is the transfer of know-how between generations. This raises the question of how new employees, especially young professionals, can acquire this knowledge from older generations in an efficient and sustainable way. This can potentially necessitate the creation of incentives for both sides. For the older generation, the rewards must be of such a high quality that they are willing to pass on their expertise without seeing the younger generation as a threat. For the younger generation, ways must be created to accept the knowledge of the older generation as being of great value. In this paper, the authors discuss two methods that can facilitate this process. Gamification, to make the reward systems visible, and nudging, to trigger the benefits of these reward systems. Furthermore, by developing a working prototype, the authors describe how the actual rewards can be stored on Blockchain-based tokens in order to be represented in a permanent and provable way. This system can be supported by machine learning and the long-term preparation of adaptive learning systems, so that the knowledge of the older generation is ultimately made available to a broad group of people. The theoretical foundations are complemented by an online survey and a focus group with experts from the various fields in order to further corroborate the arguments made.
URI: https://www.um.edu.mt/library/oar/handle/123456789/88290
Appears in Collections:Scholarly Works - FacICTAI

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