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

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  • Brunzel, Johannes

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.

Suggested Citation

  • Brunzel, Johannes, 2021. "Making use of quantitative content analysis: Insights from academia and business practice," Business Horizons, Elsevier, vol. 64(4), pages 453-464.
  • Handle: RePEc:eee:bushor:v:64:y:2021:i:4:p:453-464
    DOI: 10.1016/j.bushor.2021.02.010
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    References listed on IDEAS

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    1. Jing Chen & Elizabeth Demers & Baruch Lev, 2018. "Oh What a Beautiful Morning! Diurnal Influences on Executives and Analysts: Evidence from Conference Calls," Management Science, INFORMS, vol. 64(12), pages 5899-5924, December.
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    3. Michalisin, Michael D., 2001. "Validity of annual report assertions about innovativeness: an empirical investigation," Journal of Business Research, Elsevier, vol. 53(3), pages 151-161, September.
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    2. Mangiò, Federico & Di Domenico, Giandomenico, 2022. "All that glitters is not real affiliation: How to handle affiliate marketing programs in the era of falsity," Business Horizons, Elsevier, vol. 65(6), pages 765-776.
    3. Saura, Jose Ramon & Ribeiro-Soriano, Domingo & Zegarra Saldaña, Pablo, 2022. "Exploring the challenges of remote work on Twitter users' sentiments: From digital technology development to a post-pandemic era," Journal of Business Research, Elsevier, vol. 142(C), pages 242-254.

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