Sample Selection in Systematic Literature Reviews of Management Research

IF 8.9 2区 管理学 Q1 MANAGEMENT Organizational Research Methods Pub Date : 2021-01-29 DOI:10.1177/1094428120986851
Martin R. W. Hiebl
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引用次数: 120

Abstract

Systematic review techniques are about to become the “new normal” in reviews of management research. However, there is not yet much advice on how to organize the sample selection process as part of such reviews. This article addresses this void and analyzes this vital part of systematic reviews in more detail. In particular, it offers a critical review of systematic literature reviews published in the Academy of Management Annals and the International Journal of Management Reviews between 2004 and 2018. Based on this methodological literature review, the article presents issues to consider in the most critical choices during the sample selection process. Furthermore, this review identifies several descriptive features such as the mean number of research items included in systematic reviews, the mean number of databases used, and the mean coverage period of such reviews. These numbers may be used as benchmark figures in future reviews.
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管理研究系统文献综述中的样本选择
系统综述技术即将成为管理学研究综述的“新常态”。然而,关于如何组织样本选择过程作为此类审查的一部分,目前还没有太多建议。本文解决了这一空白,并更详细地分析了系统综述的这一重要部分。特别是,它对2004年至2018年间发表在《管理学院年鉴》和《国际管理评论杂志》上的系统文献综述进行了批判性综述。基于这篇方法论文献综述,本文提出了在样本选择过程中最关键的选择中需要考虑的问题。此外,本综述确定了几个描述性特征,如系统综述中包括的研究项目的平均数量、使用的数据库的平均数量以及此类综述的平均覆盖期。这些数字可作为未来审查的基准数字。
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来源期刊
CiteScore
23.20
自引率
3.20%
发文量
17
期刊介绍: Organizational Research Methods (ORM) was founded with the aim of introducing pertinent methodological advancements to researchers in organizational sciences. The objective of ORM is to promote the application of current and emerging methodologies to advance both theory and research practices. Articles are expected to be comprehensible to readers with a background consistent with the methodological and statistical training provided in contemporary organizational sciences doctoral programs. The text should be presented in a manner that facilitates accessibility. For instance, highly technical content should be placed in appendices, and authors are encouraged to include example data and computer code when relevant. Additionally, authors should explicitly outline how their contribution has the potential to advance organizational theory and research practice.
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