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Entrepreneurship at a crossroads: Meta‐analysis as a foundation and path forward
Author(s) -
Combs James G.,
Crook T. Russell,
Ketchen David J.,
Wright Mike
Publication year - 2021
Publication title -
strategic entrepreneurship journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.061
H-Index - 46
eISSN - 1932-443X
pISSN - 1932-4391
DOI - 10.1002/sej.1404
Subject(s) - entrepreneurship , leverage (statistics) , foundation (evidence) , set (abstract data type) , field (mathematics) , systematic review , data science , knowledge management , management science , computer science , public relations , engineering ethics , political science , engineering , artificial intelligence , mathematics , medline , pure mathematics , law , programming language
Research Summary This special issue on “Advancing Entrepreneurship Research through Meta‐analysis” was commissioned in the belief that many entrepreneurship research topics have reached a crossroads. As a maturing, dynamic, and growing field, researchers are generating ever more empirical evidence regarding the field's central questions. Researchers can continue down this road, but for many topics, it seems time to pause and take stock of what has been learned—a task meta‐analysis was created to accomplish. We describe how the special issue articles accumulate and clarify what is known about important questions. Two of the studies highlight that entrepreneurial organizations are in fact different from other organizational settings, and all lay foundations that open new avenues for inquiry. We conclude by summarizing the types of questions meta‐analysis can help answer going forward and the advanced meta‐analytic techniques that are becoming increasingly important for answering such questions. Managerial Summary This special issue was commissioned because many entrepreneurship research streams contain mixed evidence about the nature of important relationships. Such a situation makes it difficult for entrepreneurs to leverage academic findings as they make decisions and for researchers to understand what is known. Meta‐analysis is a set of statistical tools that allows for the reconciliation of evidence that points in different directions and thereby provides actionable guidance for entrepreneurs and a solid foundation for researchers to build on. This introduction summarizes the special issue articles and describes their contributions. One key overall implication that arises from this collection of studies is that much of what works in traditional organizations is likely to work quite differently in entrepreneurial contexts.