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Manipulative imputation in distributed decision support settings: the implications of information asymmetry and aggregation complexity

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journal contribution
posted on 04.05.2016, 13:57 by Ninoslav Malekovic, Juliana Sutanto, Lazaros Goutas
According to earlier research, distributed communications are susceptible to deception. Our study complements the existing works by analyzing group members' attempts to manipulate group decisions supported by distributed communications. Experimentally, we examined the impact of two systemic features of distributed decision support on the group member's manipulative imputation. First, we analyzed the member's manipulative imputation for information asymmetry. Second, we analyzed this relationship for the moderating effect of decision rule complexity. Both of these features are structural properties of aggregating information exchange. We confirmed several effects: An increase in the asymmetry of information aggregating into a group outcome increases the member's manipulative tendency. This increase also increases the effectiveness of the member's manipulative imputation. However, the complexity of a decision rule decreases both of these effects. Given the information asymmetry, complexity of issues under group members' consideration can authenticate their disclosures. We point out the theoretical relevance and practical implications of our findings.

History

School

  • Business and Economics

Department

  • Business

Published in

Decision Support Systems

Volume

85

Pages

1 - 11

Citation

MALEKOVIC, N., SUTANTO, J. and GOUTAS, L., 2016. Manipulative imputation in distributed decision support settings: the implications of information asymmetry and aggregation complexity. Decision Support Systems, 85, pp. 1 - 11.

Publisher

© Elsevier

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2016

Notes

This paper was accepted for publication in the journal Decision Support Systems and the definitive published version is available at http://dx.doi.org/10.1016/j.dss.2016.02.004

ISSN

0167-9236

Language

en

Exports