Issue |
ITM Web Conf.
Volume 41, 2022
International Conference on Exploring Service Science (IESS 2.2)
|
|
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Article Number | 01002 | |
Number of page(s) | 20 | |
Section | General Track | |
DOI | https://doi.org/10.1051/itmconf/20224101002 | |
Published online | 08 February 2022 |
Value co-creation ‘gradients’: enabling human-machine interactions through AI-based DSS
1 University of Salerno, Dept. of Business Science – Management & Innovation Systems
2 University Politehnica Bucharest, Faculty of Automation and Computer Science
3 Masaryk University, Faculty of Informatics
* Corresponding author: lcarrubbo@unisa.it
Artificial Intelligence-based Decision Support Systems (AI-based DSS) are becoming increasingly important in many contexts. This work aims to define a type of human-machine interactions for new value co-creation processes' ranks, to help identify factors that can stimulate value co-creation in human-machine interactions. To understand if the outcome of a man-machine interaction can contribute to the co-creation of value, and in what way, the work carried out is epistemological and typological, also based on System Thinking. A matrix of novel gradients of the relationships between humans and non-humans has been created, and the typology of human-machine interactions has been identified for the new degrees of value co-creation processes, as well as the new specific scale of skills, in terms of language, learning, know-how, level of trust and endowment of knowledge, as a whole. The main implications concern the need to customize Decision Support Systems (DSS), to enhance different levels of intensity of relationships, and to identify insights for Decision Making AI - based users.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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