Opportunity recognition in the tension field of knowledge and learning: The case of converging industries

IF 10.5 1区管理学 Q1 BUSINESS

Journal of Business Research Pub Date : 2024-10-03 DOI:10.1016/j.jbusres.2024.114993

Simon Ohlert , Natalie Laibach , Rainer Harms , Stefanie Bröring

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引用次数: 0

Abstract

Knowledge-based and learning perspectives alone explain opportunity recognition insufficiently. While knowledge forms the base, learning may help entrepreneurs in novel contexts. Interactions between them add complexity to the analysis of opportunity recognition. Even though many contexts require combinations of knowledge and learning, research on opportunity recognition in these contexts remains scarce. We address this gap with fuzzy-set qualitative comparative analysis (fsQCA) using data from 107 corporate entrepreneurs from converging industries. Converging industries offer a unique context to explore these complexities, requiring entrepreneurs to merge knowledge and learn from new fields. We identify three types with high levels of opportunity recognition: the “broad experienced adapter”, the “specific experienced adapter”, and the “experimenter”. Unlike a simple knowledge-based view suggests, we argue that knowledge is not always necessary. Entrepreneurs compensate for knowledge deficits by combining several learning capabilities. Configurational analysis enriches the theory of how multi-domain knowledge and learning contribute to opportunity recognition.

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在知识与学习的紧张领域中识别机遇：融合产业案例

仅从基于知识和学习的角度来解释机会识别是不够的。知识是基础，而学习则可以在新的环境中帮助创业者。两者之间的互动增加了机会识别分析的复杂性。尽管许多情境需要知识与学习的结合，但有关这些情境中机会识别的研究仍然很少。我们利用来自融合行业的 107 位企业创业者的数据，通过模糊集定性比较分析（fsQCA）来填补这一空白。融合产业为探索这些复杂性提供了一个独特的背景，要求企业家融合知识并从新领域学习。我们发现有三种类型的创业者对机遇的识别能力较强："广泛的经验适应者"、"特定的经验适应者 "和 "实验者"。与基于知识的简单观点不同，我们认为知识并非总是必要的。创业者通过结合多种学习能力来弥补知识的不足。配置分析丰富了多领域知识和学习如何促进机会识别的理论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Business Research BUSINESS-

CiteScore

20.30

自引率

10.60%

发文量

956

期刊介绍： The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.