选择(遗传算法)
相关性(法律)
心理模型
业务
心理学
社会心理学
营销
计算机科学
政治学
法学
人工智能
认知科学
作者
Bastian Westbrock,Katrin Muehlfeld,Utz Weitzel
标识
DOI:10.1177/0149206317753292
摘要
Management scholars have identified a variety of firm characteristics as antecedents to organizational learning. In this study, we conceptualize intraorganizational multiplicity of mental models as a complementary element that facilitates shifting from lower- to higher-level learning. Specifically, we investigate whether multiplicity of mental models—proxied by four measures—helps acquirers to categorically adapt selection rules for legal advisors in mergers and acquisitions (M&As) from domestic toward international settings. In developing our conceptual framework, we integrate resource-based, social network, and organizational learning perspectives. Empirically, we draw on 11,511 acquisition attempts announced from 1998 to 2010 (completion/abandonment assessed as of January 10, 2015, at the latest). The results largely support our theory: First, choosing legal advisors in domestic and international deals calls for different selection rules. While in domestic deals, network-related characteristics are more important drivers of lawyers’ performance relative to their country-specific expertise, the comparative relevance of these attributes is reversed in cross-border deals. Yet, initially, acquirers fail to recognize this. Also, they do not initially adjust their selection criteria appropriately in response to accumulating M&A experience of their own. Only after having attempted a substantial number of cross-border M&As, they reach a turning point at which they rebalance their selection criteria such that they reflect the predominant relevance of country expertise in cross-border settings. Finally, recognition of the need to categorically reassess selection criteria in international deals is significantly facilitated by an acquirer’s multiplicity of mental models.
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