Making use of quantitative content analysis: Insights from academia and business practice

Johannes Brunzel

Business Horizons, 2021, vol. 64, issue 4, 453-464

Abstract: This article features a moderated conversation between the author and five leading researchers and practitioners in the field of quantitative content analysis and, more specifically, computer-aided textual analysis (CATA). The interview subjects discuss the factors contributing to CATA’s rise as a research method as well as the benefits and pitfalls of using CATA. The conversation also covers best-practice advice that companies may employ to increase the accuracy of CATA results. These include using different programs or algorithms for the same problem, known as algorithm error.

Keywords: Big data; Computer-aided content analysis; Machine learning; Quantitative content analysis; Natural language processing (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0007681321000124
Full text for ScienceDirect subscribers only

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:eee:bushor:v:64:y:2021:i:4:p:453-464

DOI: 10.1016/j.bushor.2021.02.010

Access Statistics for this article

Business Horizons is currently edited by C. M. Dalton

More articles in Business Horizons from Elsevier
Bibliographic data for series maintained by Catherine Liu ().