Decision‐making in entrepreneurial teams with competing economic and noneconomic goals

业务 产业组织 营销 经济 过程管理
作者
Jeroen Neckebrouck,Thomas Zellweger
出处
期刊:Strategic Entrepreneurship Journal [Wiley]
标识
DOI:10.1002/sej.1524
摘要

Abstract Research Summary How should decision‐making be organized in entrepreneurial teams pursuing competing economic and noneconomic goals? Using a computational model, we examine how four archetypical decision‐making structures—unanimous approval, individual autonomy, majority voting, and lead entrepreneur—shape the performance of entrepreneurial firms when team members hold varied preferences for how to tradeoff economic and noneconomic goals. In stable environments, we find that majority voting generates highest economic performance, while unanimous approval generates highest noneconomic performance. Conversely, unanimous approval outperforms in fast‐changing contexts. Although goal diversity generally reduces economic performance, it enhances it in fast‐changing settings when teams operate under unanimous approval. This study thus underscores the critical role of decision‐making structures for the success of entrepreneurial teams. Managerial Summary How should entrepreneurial teams make decisions when balancing economic and noneconomic goals? We examine four decision‐making approaches—unanimous approval, individual autonomy, majority voting, and lead entrepreneur—and their impact on economic and noneconomic performance. In stable environments, majority voting leads to highest economic performance, while unanimous approval excels in achieving noneconomic goals. In fast‐paced environments, unanimous approval consistently delivers superior outcomes, enhancing both economic and noneconomic performance. Notably, teams with diverse goals can improve their economic performance in high‐velocity settings when using unanimous approval. These findings highlight the importance of choosing the right decision‐making structure to optimize performance in varying conditions. For entrepreneurial teams, adapting decision‐making processes to the pace of the environment is essential for success.

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