Manipulative Imputation in Distributed Decision Support Settings: The Implications of Information Asymmetry and Aggregation Complexity
作者:
Highlights:
• Informed about other group members' incentives, participants manipulate group decisions.
• Aggregation complexity can authenticate their imputed information.
• Their social value orientation and scenario familiarity may modify their imputation.
摘要
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.
论文关键词:Deception,Manipulative imputation,Information aggregation,Information asymmetry,Aggregation complexity,Lab experiment
论文评审过程:Received 9 April 2015, Revised 21 December 2015, Accepted 13 February 2016, Available online 26 February 2016, Version of Record 15 April 2016.
论文官网地址:https://doi.org/10.1016/j.dss.2016.02.004