Majority Decision-Making Works Best Under Conditions of Leadership Ambiguity and Shared Task Representations

Author:

Schippers Michaéla C.,Rus Diana C.

Abstract

The effectiveness of decision-making teams depends largely on their ability to integrate and make sense of information. Consequently, teams which more often use majority decision-making may make better quality decisions, but particularly so when they also have task representations which emphasize the elaboration of information relevant to the decision, in the absence of clear leadership. In the present study we propose that (a) majority decision-making will be more effective when task representations are shared, and that (b) this positive effect will be more pronounced when leadership ambiguity (i.e., team members’ perceptions of the absence of a clear leader) is high. These hypotheses were put to the test using a sample comprising 81 teams competing in a complex business simulation for seven weeks. As predicted, majority decision-making was more effective when task representations were shared, and this positive effect was more pronounced when there was leadership ambiguity. The findings extend and nuance earlier research on decision rules, the role of shared task representations, and leadership clarity.

Publisher

Frontiers Media SA

Subject

General Psychology

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development of portfolio management tools in crop breeding programs: a case study of cassava in sub-Saharan Africa;Frontiers in Sustainable Food Systems;2024-05-07

2. Qualitative systematic review: The lived experiences of males in the nursing profession on gender discrimination encounters;International Nursing Review;2023-12-22

3. Team innovation: The role of team capabilities and team decision‐making;Global Business and Organizational Excellence;2023-11-22

4. Hey?;Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction;2023-03-13

5. Degree of group consensus shapes perceived power structures and decision-process evaluations of groups;Group Processes & Intergroup Relations;2022-12-16

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3