Computer-aided text analysis in family business research: guidelines and considerations
Danuse Bement and
Jeremy C. Short
Chapter 11 in Field Guide to Family Business Research, 2023, pp 144-158 from Edward Elgar Publishing
Abstract:
Computer-aided text analysis (CATA) has been used effectively, but somewhat sparingly, in previous family business research. We offer guidelines for adapting constructs used in other fields to develop research questions of interest to family business scholars. Using the construct of humility and leveraging annual shareholder letters of family firms in the S&P 500, we provide suggestions for choosing appropriate narratives, measuring constructs to ensure validity and reliability, and creating research designs. We also identify future opportunities for the use of CATA in family business research. By outlining common approaches leveraging CATA in family business research in conjunction with insights from other fields, we hope to provide a helpful guide that encourages both novice and experienced scholars to generate new insights using this technique. We conclude with suggestions for reviewers and editors when encountering family business research using CATA.
Keywords: Business and Management; Economics and Finance; Research Methods (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781800884144.00017 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:20610_11
Ordering information: This item can be ordered from
http://www.e-elgar.com
Access Statistics for this chapter
More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().