Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88396
Title: A dataset of human decision-making in teamwork management
Authors: Yu, Han
Shen, Zhiqi
Miao, Chunyan
Leung, Cyril
Chen, Yiqiang
Fauvel, Simon
Lin, Jun
Cui, Lizhen
Pan, Zhengxiang
Yang, Qiang
Keywords: DRNTU::Engineering::Computer science and engineering
Decision Making
Personnel Management
Issue Date: 2017
Source: Yu, H., Shen, Z., Miao, C., Leung, C., Chen, Y., Fauvel, S., ...Yang, Q. (2017). A dataset of human decision-making in teamwork management. Scientific data, 4, 160127-. doi: 10.1038/sdata.2016.127
Series/Report no.: Scientific Data
Abstract: Today, most endeavours require teamwork by people with diverse skills and characteristics. In managing teamwork, decisions are often made under uncertainty and resource constraints. The strategies and the effectiveness of the strategies different people adopt to manage teamwork under different situations have not yet been fully explored, partially due to a lack of detailed large-scale data. In this paper, we describe a multi-faceted large-scale dataset to bridge this gap. It is derived from a game simulating complex project management processes. It presents the participants with different conditions in terms of team members’ capabilities and task characteristics for them to exhibit their decision-making strategies. The dataset contains detailed data reflecting the decision situations, decision strategies, decision outcomes, and the emotional responses of 1,144 participants from diverse backgrounds. To our knowledge, this is the first dataset simultaneously covering these four facets of decision-making. With repeated measurements, the dataset may help establish baseline variability of decision-making in teamwork management, leading to more realistic decision theoretic models and more effective decision support approaches.
URI: https://hdl.handle.net/10356/88396
http://hdl.handle.net/10220/45720
DOI: https://doi.org/10.1038/sdata.2016.127
Rights: © 2017 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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