AIGNTHSep 7, 2020

On the Effectiveness of Minisum Approval Voting in an Open Strategy Setting: An Agent-Based Approach

arXiv:2009.04912v2
Originality Synthesis-oriented
AI Analysis

It addresses the problem of improving organizational decision-making through open participation, but is incremental as it confirms existing literature benefits.

This study investigated how including more diverse participants in organizational strategy-making affects performance in complex environments, finding that larger crowds lead to rapid discovery of better strategies, but small expansions do not.

This work researches the impact of including a wider range of participants in the strategy-making process on the performance of organizations which operate in either moderately or highly complex environments. Agent-based simulation demonstrates that the increased number of ideas generated from larger and diverse crowds and subsequent preference aggregation lead to rapid discovery of higher peaks in the organization's performance landscape. However, this is not the case when the expansion in the number of participants is small. The results confirm the most frequently mentioned benefit in the Open Strategy literature: the discovery of better performing strategies.

Foundations

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