Sample Selection in Systematic Literature Reviews of Management Research
By M. Hiebl. Organizational Research Methods, 2021
538 citations recorded by the source corpus.
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.
Subfields: Management Information Systems, Marketing, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/5bd6ef66076d2ec3516b0c8faf0ba7d409854601
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In Management Information Systems
In Strategy and Management
Citations in the corpus
- Systematicity in Organizational Research Literature Reviews: A Framework and Assessment (2021, background): “Second, systematicity can be conceptualized as a discrete set of review practices, such as: a protocol to guide review execution (Pullin & Stewart, 2006), the employment of a systematic sampling logic and procedures (Hiebl, 2021; Xiao & Watson, 2019), the application of an objective set of criteria ”
- Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review (2022, unknown): “We focused exclusively on studies published in CABS ranked journals as it a common practice within the broader field of Business and Management (Hiebl, 2021).”
- Mapping Scientific Knowledge in Systematic Literature Reviews Through Embeddings and Bibliometric Techniques (2026, unknown): “They use a structured, transparent process to identify, compare, and synthesize studies, clarifying current knowledge [11], [12].”