Management of mobile online customer reviews to enhance customer satisfaction in the higher education sector

Obvious Tine, Dr M. Humbani

Vol 19 | Issue 2 pp. 54-69


The purpose of this study was to test the relationship between the independent variables (responsiveness, credibility, reliability, commitment, and empathy) and the dependent variable in the study (satisfaction). A cross-sectional quantitative survey was undertaken to uncover students’ perceptions of online customer reviews and to explore the factors that influence how managers respond to these students’ online reviews through the lens of the social exchange and the justice theories. Data from 244 respondents were collected through an online survey. Structural equation modelling was used to test the hypotheses and to investigate gender differences in satisfaction with online customer reviews. Results indicated that the strongest predictor of customer satisfaction is commitment, followed by empathy. Responsiveness, reliability, and credibility factors were found to be insignificant in influencing customer satisfaction in an education context. No significant differences existed between men and women with regard to any of the contributing factors relating to satisfaction with online customer reviews. Thus, the study provides information that can potentially influence managers of higher education institutions to invest in open communication channels and platforms that effectively engage students, thereby creating positive experiences. Positive experiences culminate in customer satisfaction.

Keywords: Online customer reviews, responsiveness, empathy, credibility, reliability, commitment, customer satisfaction, justice theory, social exchange theory

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Aghamirian, B., Dorr, B. & Aghamirian, B. (2015). Customer knowledge management application in gaining organization’s competitive advantage in electronic commerce. Journal of Theoretical and Applied Electronic Commerce Research, 10(1), 63–78.

Anglia, D. (2019). University reviews ritten by students for students. Retrieved from: [Accessed on 20 March 2023].

Awang, M., Kutty, F. & Ahmad, A. (2014). Perceived social support and well-being: First-year student experience in university. International Education Studies, 7(13), 261–270.

Chakraborty, U. & Bhat, S. (2018). Credibility of online reviews and its impact on brand image. Management Research Review, 41(1), 148–164.

Cheng, V.T.P. & Loi, M.K. (2012). Handling negative online customer reviews: The effects of elaboration likelihood model and distributive justice. Journal of Travel & Tourism. Marketing, 31(1), 1–15.

Cook, K. & Rice, E. (2014). Social exchange theory. The handbook of social psychology. New York: Springer.

De Jager, J. & Gbadamosi, G. (2013). Predicting students’ satisfaction through service quality in higher education. The International Journal of Management Education, 11, 107–118.

Dekay, S.H. (2012). How large companies react to negative Facebook comments. Journal of Corporate Communications, 17(2), 289–299.

Department of Higher Education and Training. (2018). Register of private higher education institutions. Retrieved from: [Accessed on 21 January 2022].

Elwalda, A., Lü, K. & Ali, M. (2016). Perceived derived attributes of online customer reviews. Computers in Human Behaviour, 56(1), 306–319.

Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50.

Gogoi, B.J. (2021). Influence of service quality and trust in spreading positive WOM and increasing loyalty of a tourist location. Academy of Marketing Studies Journal, 25(2), 1–14.

Hair, J.F., Black, W.C., Babin, B.J. & Anderson, R.E. (2019). Multivariate data analysis (8th ed.). Harlow, ND: Cengage.

Harris, K.L., Thomas, L.l. & Williams, J.A. (2013). Justice for consumers complaining online or offline: Exploring procedural, distributive, and interactional justice, and the issue of anonymity. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behaviour, 26(3), 345–357.

Hassan, S., Shamsudin, M.F., Hasim, M.A., Mustapha, I., Jaafar, J., Adruthdin, K.F. … & Ahmad, R. (2019). Mediating effect of corporate image and students’ satisfaction on the relationship between service quality and students’ loyalty in TVET HLIs. Asian Academy of Management Journal, 24, 93–105.

Henseler, J., Ringle, C.M. & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135.

Homburg, C., Jozić, D. & Kuehnl, C. (2017). Customer experience management: Toward implementing an evolving marketing concept. Journal of the Academy of Marketing Science, 45(3), 277–401.

Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6, 53–60.

Hu, L.T. & Bentler, P.M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.

Javed, F. & Cheema, S. (2017). Customer satisfaction and customer perceived value and its impact on customer loyalty. Journal of Internet Banking and Commerce, 22(8), 459–477.

Joffe, H. (2011). Qualitative research methods in mental health and psychotherapy: A guide for students and practitioners. Chichester: John Wiley & Sons.

Khan, I., Nawaz, A. & Khan, M.S. (2013). Determining the organizational commitment of Academicians in public sector universities of developing countries like Pakistan, International Journal of Academic Research in Economics and Management Sciences, 2(1), 361–374.

Mansoora, A. (2017). A study on impact of gender differences on customer satisfaction, case of educational sphere. Journal of International Business Research and Marketing, 3(1), 14–18.

Munusamy, J., Chelliah, S. & Mun, H.W. (2010). Service quality delivery and its impact on customer satisfaction in the banking sector in Malaysia. International Journal of Innovation, Management and Technology, 1(4), 398–404.

Naznin, S.K. (2019). The impact of brand reliability and brand intention on brand loyalty, brand equity, and overall customer satisfaction: A study on mobile telecommunication service industry of Bangladesh. Retrieved from:

Pallant, J. (2016). SPSS survival manual: A step-by-step guide to data analysis using IBM SPSS. 6th ed. Berkshire, England: McGraw-Hill Education.

Parasuraman, A., Zeithaml, V. & Berry, L. (1985). A conceptual model of service quality and implications for future research. Journal of Marketing, 49(4), 41–50.

Park, S.Y. & Allen, J.P. (2013). Responding to online reviews: Problem solving and engagement in hotels. Cornell Hospitality Quarterly, 54(1), 64–73.

Ramos, Y.J., Claudia, L. & Jennifer, L.L. (2017). Company responses to online complaints: Effects on Hispanic consumers. e-Journal of Social & Behavioural Research in Business, 8(1), 41–56.

Reuben, R. (2012). The use of social media in higher education for marketing and communications: A guide for professionals in higher education. Retrieved from: [Accessed on 23 July 2023].

Rodríguez-Ardura, I. & Meseguer-Artola, A. (2020). How to prevent, detect and control common method variance in electronic commerce research. Journal of Theoretical and Applied Electronic Commerce Research, 15(2), 1–5

Roman, A.P., Gonzalez, A.B. & Mercado, C. (2013). Customer satisfaction, loyalty, and commitment in online markets. Economic and Business Journal, 44(2), 147–166.

Run, H. & Niu, Y.F. (2015). An exploratory study of online review management in hospitality services. Journal of Service Theory and Practice, 28(1), 79–98.

Schaefers, T. & Schamari, J. (2016). Service recovery via social media: The social influence effects of virtual presence. Journal of Service Research, 19(2), 192–208.

Siddiqi, K.O. (2013). Interrelations between service quality attributes, customer satisfaction and customer loyalty in the retail banking sector in Bangladesh. International Journal of Business and Management, 6(3), 12–36.

Sparks, A.B. & Bradley, G.L. (2014). ‘Triple A’ typology of responding to negative consumer generated online reviews. Journal of Hospitality & Tourism Research, 10, 123–165.

Stein, A. & Ramaseshan, B. (2016). Towards the identification of customer experience touch point elements. Journal of Retailing and Consumer Services, 30, 8–19.

Tabachnick, B.G. & Fidell, L.S. (2013). Using multivariate statistics (6th ed.). Boston, MA: Pearson.

Tan, A.H.T., Muskat, B. & Johns, R. (2019). The role of empathy in the service experience. Journal of Service Theory and Practice, 29(2), 142–164.

Van de Ridder, J.M.M., Berk, C.J., Stokking, K.M. & Ten Cate, T.H.J. (2014). Feedback providers’ credibility impacts students’ satisfaction with feedback and delayed performance. Medical Teacher, 37(8), 1–8.

Voorhees C.M., Brady, M.K., Calantone, R. & Ramirez, E. (2016). Discriminant validity testing in marketing: An analysis, causes for concern, and proposed remedies. Journal of the Academy of Marketing Science, 44(1), 119–134.

Wagner, D. (2015). Managing negative comments posted on social media. Walden: Walden University Works.

Wieseke, J., Geigenmüller., A. & Kraus, F. (2012). On the role of empathy in customer-employee interactions. Journal of Service Research, 15, 316–332.

Wong, W.H., & Chapman, E. (2023). Student satisfaction and interaction in higher education. Higher Education, 85(5), 957–978.

Zhang, M., Xie, Y., Huang, L. & He, Z. (2013). Service quality evaluation of car rental industry in China. International Journal of Quality & Reliability Management, 31(1), 82–102.

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