How to Get Published in the Best Management Journals
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How to Get Published in the Best Management Journals

Second Edition

Edited by Mike Wright, David J. Ketchen, Jr. and Timothy Clark

This expanded second edition of a classic career guide offers fascinating insight into the publishing environment for the management discipline, drawing on a wealth of knowledge and experiences from leading scholars and top-level journal editors. Responding to the continuing emphasis on publishing in the top journals, this revised, updated and extended guide offers invaluable tips and advice for anyone looking to publish their work in these publications.
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Chapter 17: The reviewers don’t like my sample! What can I do?

Brian K. Boyd

Abstract

Let me start with the caveat that most of what I write is macro empirical research. While my examples will draw from strategy articles, the concepts are applicable to other management specialties, and other disciplines, as well. I have served on a wide variety of editorial boards, including those with both a generalist (for example, Academy of Management Journal, Journal of Management and Journal of Management Studies) and specialist (for example, Organizational Research Methods and Strategic Management Journal) focus, as well as those with interdisciplinary (for example, Corporate Governance: An International Review) and international (Management & Organization Review) emphases. Also, given my background, the vast majority of papers that I review are empirical. Regardless of the focus, one question consistently surfaces when I read a new manuscript: ‘If I were to design a study to test these research questions, is this the ideal sample?’ As the answer is most often ‘No’, the second question is whether the sample is adequate. In some cases, the answer is still ‘No’, and at other times it is the grudging acceptance of an imperfect, yet workable sample. In the majority of cases, though, the answer is ‘Hard to tell’, as authors may not provide sufficient information about the sampling process or characteristics of the data. Depending on the severity of reviewer concerns, sampling issues can be a fatal flaw that triggers a rejection, or can be enough of a problem to render an entire results and discussion section moot.

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