Evaluating the Corporate Reputation of Public Hospitals with Emotion Analysis through Patient Comments: The Case of Antalya Atatürk State Hospital

Year 2024, , 107 - 120, 31.12.2024

Fatma Yiğit Açıkgöz

https://doi.org/10.17093/alphanumeric.1513852

Abstract

Reputation management, which is one of the application areas of public relations and constitutes an important part of strategic communication management, comes into play at the point where organisations implement differentiation strategies and achieve their goals. In this direction, strategic approaches supported by accurate data are critical to strengthening the overall reputation of organisations. In this study, it is aimed at analysing the corporate reputation of public hospitals through patient comments using sentiment analysis techniques. Antalya Atatürk State Hospital was selected as the sample for the study. Patient comments were obtained from feedback shared on public platforms about the hospital. Sentiment analysis is an effective method used to evaluate the perception of a brand, person, or institution among the public. In this context, a detailed analysis of the hospital's service quality, doctor-patient relations, hospital environment, and other important factors was made using sentiment analysis. As a result of the analysis, the main factors affecting patient satisfaction and the strengths and weaknesses of the hospital were revealed. It is thought that the findings of the study will provide important clues for the development of corporate reputation management strategies in public hospitals.

Keywords

Corporate reputation, hospital, text mining, public relations, sentiment analysis

References

• Anderson, E. W. (1998). Customer Satisfaction and Word of Mouth. Journal of Service Research, 1(1), 5–17. https://doi.org/10.1177/109467059800100102
• Başkaya, F., & Aydin, İ. (2017). Haber metinlerinin farkli metin madenciliği yöntemleriyle sınıflandırılması. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), 1–5. https://doi.org/10.1109/IDAP.2017.8090310
• Beşkirli, A., Gülbandılar, E., & Dağ, İ. (2021). Information Discovery from Twitter Data with Text Mining Methods. Journal of ESTUDAM Information, 2(1), 21–25.
• Deephouse, D. L. (2000). Media Reputation as a Strategic Resource: An Integration of Mass Communication and Resource-Based Theories. Journal of Management, 26(6), 1091–1112. https://doi.org/10.1177/014920630002600602
• Doğanlı, B. (2023). Investigation of words used in lays advertisements using text mining method. International Journal of Economic and Administrative Academic Research, 3(2), 24–37.
• Durkaya, B. (2020). Examining the helpfulness of online customer reviews based on review related factors: The moderating effect of product type.
• Fombrun, C., & Shanley, M. (1990). What's in a Name? Reputation Building and Corporate Strategy. Academy of Management Journal, 33(2), 233–258. https://doi.org/10.2307/256324
• Fombrun, C. (1996). Reputation: Realizing Value from the Corporate Image. Harvard Business School Press.
• Fombrun, C., & Riel, C. van. (2004). Fame & Fortune: How Successful Companies Build Winning Reputations. Pearson Education.
• Gibson, D., Gonzales, J. L., & Castanon, J. (2006). The Importance of Reputation and the Role of Public Relations. Public Relations Quarterly, 51(3), 15–18.
• Greaves, F., Laverty, A. A., & Millett, C. (2013). Friends and family test results only moderately associated with conventional measures of hospital quality. BMJ, 347(aug202), f4986–f4986. https://doi.org/10.1136/bmj.f4986
• Gretzel, U., & Yoo, K. H. (2008). Use and Impact of Online Travel Reviews. In Information and Communication Technologies in Tourism 2008 (pp. 35–46). Springer Vienna. https://doi.org/10.1007/978-3-211-77280-5\_4
• Hall, R. (1993). A framework linking intangible resources and capabiliites to sustainable competitive advantage. Strategic Management Journal, 14(8), 607–618. https://doi.org/10.1002/smj.4250140804
• Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet?. Journal of Interactive Marketing, 18(1), 38–52. https://doi.org/10.1002/dir.10073
• Kayakuş, M., & Yiğit Açıkgöz, F. (2023). Twitter'da Makine Öğrenmesi Yöntemleriyle Sahte Haber Tespiti. Abant Sosyal Bilimler Dergisi, 23(2), 1017–1027. https://doi.org/10.11616/asbi.1266179
• Lee, D., Kim, S. S., & Park, B. J. (2008). Online Service Quality in the Internet Retailing. 2nd International Conference on Ubiquitous Information Management and Communication.
• Liu, B. (2012). Sentiment Analysis and Opinion Mining. Springer International Publishing. https://doi.org/10.1007/978-3-031-02145-9
• Loria, S. (2018, ). textblob Documentation. https://readthedocs.org/projects/textblob/downloads/pdf/latest/
• Oktar, Ö. F., & Çarıkçı, İ. H. (2012). Farklı Paydaşlar Açısından İtibar Algılamaları: Süleyman Demirel Üniversitesi'nde Bir Araştırma. Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 15, 127–149.
• Pang, B., & Lee, L. (2008). Opinion Mining and Sentiment Analysis. now Publishers Inc. https://doi.org/10.1561/9781601981516
• Rahim, A. I. A., Ibrahim, M. I., Musa, K. I., Chua, S.-L., & Yaacob, N. M. (2021). Patient Satisfaction and Hospital Quality of Care Evaluation in Malaysia Using SERVQUAL and Facebook. Healthcare, 9(10), 1369. https://doi.org/10.3390/healthcare9101369
• Rindova, V. P., Williamson, I. O., Petkova, A. P., & Sever, J. M. (2005). Being Good or Being Known: An Empirical Examination of the Dimensions, Antecedents, and Consequences of Organizational Reputation. Academy of Management Journal, 48(6), 1033–1049. https://doi.org/10.5465/amj.2005.19573108
• Roberts, P. W., & Dowling, G. R. (2002). Corporate reputation and sustained superior financial performance. Strategic Management Journal, 23(12), 1077–1093. https://doi.org/10.1002/smj.274
• Sel, A. (2022). Pandemi Sürecinde Toplum Görüşünün Duygu Analizi Yöntemiyle Iṅcelenmesi: Türkiye Örneği. Beykoz Akademi Dergisi, 10(2), 134–154. https://doi.org/10.14514/beykozad.882353
• Srivastava, R. K., McInish, T. H., Wood, R. A., & Capraro, A. J. (1997). Part IV: How Do Reputations Affect Corporate Performance?: The Value of Corporate Reputation: Evidence from the Equity Markets. Corporate Reputation Review, 1(1), 61–68. https://doi.org/10.1057/palgrave.crr.1540018
• Tekin, M. C., & Tunalı, V. (2019). Prioritization of software development demands with text mining techniques. Pamukkale University Journal of Engineering Sciences, 25(5), 615–620. https://doi.org/10.5505/pajes.2019.47827
• Tokcaer, S. (2021). Türkçe Metinlerde Duygu Analizi. Journal of Yaşar University, 16(63), 1516–1536. https://doi.org/10.19168/jyasar.928843
• Turban, D. B., & Greening, D. W. (1997). Corporate Social Performance and Organizational Attractiveness to Prospective Employees. Academy of Management Journal, 40(3), 658–672. https://doi.org/10.2307/257057
• Walker, K. (2010). A Systematic Review of the Corporate Reputation Literature: Definition, Measurement, and Theory. Corporate Reputation Review, 12(4), 357–387. https://doi.org/10.1057/crr.2009.26
• Öncel, M., & Sevim, Ş. (2014). Sürdürülebilir Rekabet Üstünlüğü Sağlamada Kurumsal İtibar Yönetimi: Yükseköğretimde Yapılandırılmasına Yönelik Bir Model Önerisi. İşletme Araştırmaları Dergisi, 6(4), 139–156.