Impacts of strategic exploitation and exploration on firms’ survival likelihood after crises: A decision-tree analysis

双灵巧性 业务 决策树 树(集合论) 产业组织 情感(语言学) 营销 计算机科学 知识管理 人工智能 数学分析 数学 语言学 哲学
作者
Christine Chou,Ying-Ho Liu,Kuo‐Pin Yang
出处
期刊:Long Range Planning [Elsevier BV]
卷期号:: 102374-102374 被引量:6
标识
DOI:10.1016/j.lrp.2023.102374
摘要

Whether firms can survive a major crisis is an important question for both researchers and practitioners. Ambidexterity is frequently proposed as a sound strategy to achieve best performance when firms exist in turbulent environments; however, it is unclear whether this effect is sustained in a crisis, especially an internal one. Applying configuration and dynamic capability theories, this study extends the literature and examines this question by investigating how exploitation, exploration, and ambidexterity affect firms' survival rates after major crises. This study is based on collected annual reports of and financial data on 367 firms that encountered a major crisis over a 21-year period (2000–2020) to provide empirical evidence. We employed a decision-tree analysis method based on text mining. The results show that during a crisis, firms adopting an exploitation strategy have a higher likelihood of survival than those adopting exploration and ambidexterity. Meanwhile, in the high-tech industry, adopting an ambidexterity or an exploitation strategy is better than adopting an exploration strategy. Theoretical and practical implications are provided.
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