TY - JOUR

T1 - Manipulative imputations in a distributed decision support setting

T2 - the effects of information asymmetry and information aggregation complexity

AU - Malekovic, Ninoslav

AU - Sutanto, Juliana

AU - Goutas, Lazaros

N1 - This is the author’s version of a work that was accepted for publication in Decision Support Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Decision Support Systems, 85, 1-11, 2016 DOI: 10.1016/j.dss.2016.02.004

PY - 2016/5

Y1 - 2016/5

N2 - According to earlier research, distributed decision support structures are susceptible to deception. We complement the existing works by analyzing group members' attempts to manipulate group decisions supported by distributed communications. Experimentally, we manipulated two systemic features of a distributed support structure: the members' information asymmetry and decision rule complexity. Both of these features refer to structural properties of aggregated information exchange. We confirmed several hypothesized effects: An increase in the information asymmetry in the aggregation of information increases the incidence of the members' manipulative tendency. It also increases the effectiveness of the members' manipulative imputations. However, the complexity of a decision rule negatively moderates both of these effects. We point out the theoretical relevance and managerial implications of our findings. We conclude that managing team members' information asymmetry and complexity of issues under their practical consideration may result in valuable disclosures.

AB - According to earlier research, distributed decision support structures are susceptible to deception. We complement the existing works by analyzing group members' attempts to manipulate group decisions supported by distributed communications. Experimentally, we manipulated two systemic features of a distributed support structure: the members' information asymmetry and decision rule complexity. Both of these features refer to structural properties of aggregated information exchange. We confirmed several hypothesized effects: An increase in the information asymmetry in the aggregation of information increases the incidence of the members' manipulative tendency. It also increases the effectiveness of the members' manipulative imputations. However, the complexity of a decision rule negatively moderates both of these effects. We point out the theoretical relevance and managerial implications of our findings. We conclude that managing team members' information asymmetry and complexity of issues under their practical consideration may result in valuable disclosures.

KW - deception

KW - manipulative imputations

KW - information aggregation

KW - information asymmetry

KW - decision rule complexity

KW - lab experiment

U2 - 10.1016/j.dss.2016.02.004

DO - 10.1016/j.dss.2016.02.004

M3 - Journal article

VL - 85

SP - 1

EP - 11

JO - Decision Support Systems

JF - Decision Support Systems

SN - 0167-9236

ER -