A novel serious game for trust-related data collection in supply chains

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Abstract

Trust is considered an essential factor to develop and maintain business and supply chain relationships. However, it is hard to investigate its mechanisms due to the lack of supply chain trust-related datasets. This lack forces researchers to use artificially and often self-generated datasets which limit the validity of results and comparability with different approaches. Striving for the generation of less artificial trust datasets, this paper presents a novel serious game to gather trust information in a B2B supply chain setting.

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Niemann, M., Elischberger, F., Diedam, P., Hopkins, J., Thapa, R., de Siqueira Braga, D., … Fernando, F. B. (2017). A novel serious game for trust-related data collection in supply chains. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10622 LNCS, pp. 121–125). Springer Verlag. https://doi.org/10.1007/978-3-319-70111-0_11

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