Making use of quantitative content analysis: Insights from academia and business practice
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DOI: 10.1016/j.bushor.2021.02.010
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References listed on IDEAS
- 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.
- 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.
- Bendle, Neil T. & Wang, Xin (Shane), 2016. "Uncovering the message from the mess of big data," Business Horizons, Elsevier, vol. 59(1), pages 115-124.
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- 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.
- 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.
- Sinziana-Maria Rindasu & Ioan Dan Topor & Liliana Ionescu-Feleaga, 2023. "The Evolution of Management Accountants' Digital Skills in Industry 4.0: A Qualitative Approach," Oblik i finansi, Institute of Accounting and Finance, issue 1, pages 38-48, March.
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Keywords
Big data; Computer-aided content analysis; Machine learning; Quantitative content analysis; Natural language processing;All these keywords.
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