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Content analysis of metadata, titles, and abstracts (CAMTA): application of the method to business and management research

Content analysis of metadata, titles, and abstracts (CAMTA): application of the method to business and management research
Content analysis of metadata, titles, and abstracts (CAMTA): application of the method to business and management research

Purpose: this paper offers a “content analysis of metadata, titles, and abstracts” (CAMTA) method underpinned by a newly evolved metadata, title, abstract, introduction, methodology, results, analysis, and discussion (M-TAIMRAD) Framework. 

Design/methodology/approach: draws on innovations of content analysis from the field of health- care to offer a pragmatic and transparent method for conducting rigorous and valid research within the field of business and management. 

Findings: replicable and valid guidelines for conducting the CAMTA method are offered, including an illustration. This is followed by a critical examination of the potential applications and benefits of the method to the field of business and management research. 

Originality/value: the CAMTA method enables researchers to assimilate and synthesise metadata, titles and abstracts as a means of identifying grounds for future research and theory development. This will help to advance the field and subsequently benefit the wider readership including fellow academics, practitioners and policymakers. The flexibility of the CAMTA method means that it can be used as a stand-alone method or combined as part of a mixed-methods approach.

Content analysis, Management research, Pragmatic, Research method
2040-8277
47-64
Donald, William E.
81d72127-3ea4-463b-814b-b7863462041a
Donald, William E.
81d72127-3ea4-463b-814b-b7863462041a

Donald, William E. (2022) Content analysis of metadata, titles, and abstracts (CAMTA): application of the method to business and management research. Management Research Review, 45 (1), 47-64. (doi:10.1108/MRR-02-2021-0116).

Record type: Article

Abstract

Purpose: this paper offers a “content analysis of metadata, titles, and abstracts” (CAMTA) method underpinned by a newly evolved metadata, title, abstract, introduction, methodology, results, analysis, and discussion (M-TAIMRAD) Framework. 

Design/methodology/approach: draws on innovations of content analysis from the field of health- care to offer a pragmatic and transparent method for conducting rigorous and valid research within the field of business and management. 

Findings: replicable and valid guidelines for conducting the CAMTA method are offered, including an illustration. This is followed by a critical examination of the potential applications and benefits of the method to the field of business and management research. 

Originality/value: the CAMTA method enables researchers to assimilate and synthesise metadata, titles and abstracts as a means of identifying grounds for future research and theory development. This will help to advance the field and subsequently benefit the wider readership including fellow academics, practitioners and policymakers. The flexibility of the CAMTA method means that it can be used as a stand-alone method or combined as part of a mixed-methods approach.

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Content Analysis of Metadata, Titles, and Abstracts (CAMTA) - Accepted Manuscript
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Accepted/In Press date: 20 April 2021
Published date: 3 January 2022
Additional Information: Funding Information: The author is grateful to Professor Yehuda Baruch and Dr Melanie Ashleigh of Southampton Business School, University of Southampton and to Professor Bill Lee of Sheffield Management School, the University of Sheffield for their comments on earlier versions of the manuscript. The author is also grateful to Professor Lerong He, Editor of Management Research Review and to the anonymous reviewers for their feedback on this manuscript. Publisher Copyright: © 2021, Emerald Publishing Limited.
Keywords: Content analysis, Management research, Pragmatic, Research method

Identifiers

Local EPrints ID: 469517
URI: http://eprints.soton.ac.uk/id/eprint/469517
ISSN: 2040-8277
PURE UUID: aefeda26-b52a-4966-a818-cdcf6a9e76da

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Date deposited: 16 Sep 2022 16:42
Last modified: 16 Sep 2022 16:42

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Author: William E. Donald

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