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http://hdl.handle.net/10397/93633
Title: | Event study methodology in business research: a bibliometric analysis | Authors: | Wang, Q Ngai, EWT |
Issue Date: | 9-Oct-2020 | Source: | Industrial management and data systems, 9 Oct. 2020, v. 120, no. 10, p. 1863-1900 | Abstract: | Purpose: This study aims to provide an objective analysis of the state-of-the-art and intellectual development of publications related to event study methodology in business research. Design/methodology/approach: The sample includes 1,219 papers related to event study methodology, covering all business disciplines and spanning 34 years from 1983 to 2016. Findings: Through three stages of primary analysis, namely, initial sample, citation and co-citation analyses, the authors identified the publication trends, supplementary techniques, influential publications and intellectual clusters in the area of event study methodology in business. Research limitations/implications: The findings serve as a benchmark for the extensive literature related to event study methodology in business and may facilitate the transference of the amassed useful techniques among disciplines and the identification of future research directions. Originality/value: The current study represents as a pioneering effort to review event study-related publications using bibliometric analysis. |
Keywords: | Bibliometric analysis Citation/co-citation analysis Event study methodology Quantitative literature review |
Publisher: | Emerald Group Publishing Limited | Journal: | Industrial management and data systems | ISSN: | 0263-5577 | EISSN: | 1758-5783 | DOI: | 10.1108/IMDS-12-2019-0671 | Rights: | Copyright © 2020, Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher. The following publication Wang, Q. and Ngai, E.W.T. (2020), "Event study methodology in business research: a bibliometric analysis", Industrial Management & Data Systems, Vol. 120 No. 10, pp. 1863-1900 is published by Emerald and is available at https://doi.org/10.1108/IMDS-12-2019-0671 |
Appears in Collections: | Journal/Magazine Article |
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Wang_Event_Study_Methodology.pdf | Pre-Published version | 2 MB | Adobe PDF | View/Open |
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