Customer Sentiment on Telecommunication Quality of Service Delivery in Ghana
Article Sidebar
Main Article Content
ABSTRACT
Aim/Purpose
This study investigates customer sentiment toward telecom Quality of Service Delivery (QoSD) in Ghana by integrating dual sentiment, that is, an expressed emotional sentiment from customer narratives and experienced service sentiment derived from SERVQUAL ratingsinto a unified service quality evaluation framework.
Background
Although SERVQUAL-based research consistently links service quality dimensions to customer satisfaction, far less is known about how emotional expressions interact with cognitive service evaluations in developing markets. This gap limits understanding of how users interpret service failures and form satisfaction judgments in resource-constrained telecom environments.
Methodology
A nationwide survey of 536 mobile users was analyzed using a hybrid analytical approach: (1) natural language processing (NLP) sentiment scoring of open-ended responses, and (2) construction of a Service Sentiment Index (SSI) based on standardized SERVQUAL dimension scores. Mediation analysis using Hayes’ PROCESS tested whether experienced sentiment serves as a psychological pathway linking reliability to overall satisfaction.
Contribution
The study introduces and empirically validates a dual-sentiment framework for telecom QoSD assessment, demonstrating significant divergence between customers’ expressed emotional sentiment and their experienced service sentiment. It extends the SERVQUAL model by incorporating affective evaluation processes and provides empirical evidence that sentiment partially mediates the reliability–satisfaction relationship.
Findings
Expressed sentiment was predominantly negative (56.5%), whereas SSI reflected more moderate evaluations. Reliability, assurance, and empathy emerged as key predictors of both sentiment and satisfaction. Mediation results confirmed that experienced sentiment explains a substantial portion of the total effect of reliability on satisfaction, supporting a dual cognitive–affective interpretation of QoSD.
Recommendations for Practitioners
Telecom providers should prioritize network reliability, transparent communication, and empathetic customer engagement to address emotional dissatisfaction. The presence of strong negative expressed sentimenteven among customers reporting moderate satisfactionsignals potential reputational and churn risks requiring proactive management.
Recommendations for Researchers
Researchers should integrate text analytics with psychometric models in service quality studies and further examine sentiment as a mediator across diverse service industries and cultural settings.
Impact on Society
Understanding sentiment divergence enhances the design of customer-centric QoS interventions, strengthens regulatory oversight, and supports the development of more responsive telecom service policies in emerging markets.
Future Research
Longitudinal studies should explore sentiment trajectories over time, while cross-market comparative research should validate the generalizability of the dual-sentiment framework across other developing and developed economies.
Downloads
References
Agyapong, G. K. Q. (2011). The effect of service quality on customer satisfaction in the utility industry: Ghana’s mobile telecommunication industry. International Journal of Business and Management, 6(5), 203–210. https://doi.org/10.5539/ijbm.v6n5p203
Aker, J. C., & Mbiti, I. M. (2010). Mobile phones and economic development in Africa. Journal of Economic Perspectives, 24(3), 207–232. https://doi.org/10.1257/jep.24.3.207
Buttle, F. (1996). SERVQUAL: Review, critique, research agenda. European Journal of Marketing, 30(1), 8–32. https://doi.org/10.1108/03090569610105762
Blut, M., Chowdhry, N., Mittal, V., & Brock, C. (2015). E-service quality: A meta-analytic review. Journal of Retailing, 91(4), 679–700.
https://doi.org/10.1016/j.jretai.2015.05.004
Chinomona, R., Masinge, G., & Sandada, M. (2014). The influence of e-service quality on customer perceived value, customer satisfaction and loyalty in South Africa. Mediterranean Journal of Social Sciences, 5(9), 331–341. https://doi.org/10.5901/mjss.2014.v5n9p331
Donner, J. (2015). After access: Inclusion, development, and a more mobile internet. MIT Press. https://mitpress.mit.edu/9780262528948/
Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., … Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168. https://doi.org/10.1016/j.ijinfomgt.2020.102168
East, R., Hammond, K., & Lomax, W. (2008). Measuring the impact of positive and negative word of mouth on brand purchase probability. International Journal of Research in Marketing, 25(3), 215–224. https://doi.org/10.1016/j.ijresmar.2008.04.001
Gummerus, J. (2014). Value creation processes and value outcomes in marketing theory: Strangers or siblings? Marketing Theory, 13(1), 19–46. https://doi.org/10.1177/1470593112467267
Kim, M. K., Park, M. C., & Jeong, D. H. (2004). The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services. Telecommunications Policy, 28(2), 145–159. https://doi.org/10.1016/j.telpol.2003.12.003
Oduro, E., Boachie-Mensah, F. O., & Agyapong, G. K. Q. (2018). Determinants of customer satisfaction in the telecommunication industry in Ghana: A study of MTN Ghana Ltd. International Journal of Marketing Studies, 10(3), 101–117. https://doi.org/10.5539/ijms.v10n3p101
Ladhari, R. (2009). Service quality, emotional satisfaction and behavioural intentions: A study in the hotel industry. Managing Service Quality, 19(3), 308–331. https://doi.org/10.1108/09604520910955320
Lai, T. L., Griffin, M., & Babin, B. J. (2007). How quality, value, trust, and satisfaction create loyalty in the U.S. wireless communications industry. Journal of Business Research, 60(4), 357–365. https://doi.org/10.1016/j.jbusres.2006.12.002
Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509/jm.15.0420
McColl-Kennedy, J. R., Zaki, M., Lemon, K. N., Urmetzer, F., Neely, A., & Begley, S. (2019). Gaining customer experience insights that matter. Journal of Service Research, 22(4), 409–423. https://doi.org/10.1177/1094670518812182
National Communications Authority (NCA). (2022). Quality of Service (QoS) report: Mobile network performance in Ghana. https://nca.org.gh
Oliver, R. L. (2014). Satisfaction: A behavioral perspective on the consumer (2nd ed.). Routledge. https://doi.org/10.4324/9781315700892
Ordenes, F. V., Theodoulidis, B., Burton, J., Gruber, T., & Zaki, M. (2014). Analyzing customer experience feedback using text mining: A linguistics-based approach. Marketing Science, 33(6), 869–889. https://doi.org/10.1177/1094670514524
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40. (No DOI; classic article)
Ranaweera, C., & Prabhu, J. (2003). The influence of satisfaction, trust and switching barriers on customer retention in a continuous purchasing setting. International Journal of Service Industry Management, 14(3), 283–307. https://doi.org/10.1108/09564230310489231
Seth, N., Deshmukh, S. G., & Vrat, P. (2005). Service quality models: A review. International Journal of Quality & Reliability Management, 22(9), 913–949. https://doi.org/10.1108/02656710510625211
Shava, H. (2021). Service quality and customer satisfaction experience among South African mobile telecommunications consumers. Eurasian Journal of Business and Management, 9(3), 217–232. https://doi.org/10.15604/ejbm.2021.09.03.004
Tam, J. L. M. (2012). The moderating role of perceived risk in loyalty intentions: An investigation in a service context. Marketing Intelligence & Planning, 30(1), 33–52. http://doi.org/10.1108/02634501211193903
Tarus, D. K., & Rabach, N. (2013). Determinants of customer loyalty in Kenyan mobile telecommunication services. International Journal of Business and Social Science, 4(2), 82–90. https://ijbssnet.com/journals/Vol_4_No_2_February_2013/10.pdf
Tirunillai, S., & Tellis, G. J. (2014). Mining marketing meaning from online chatter: Strategic brand analysis of big data using latent Dirichlet allocation. Journal of Marketing Research, 51(4), 463–479. https://doi.org/10.1509/jmr.12.0106
Zeithaml, V. A., Bitner, M. J., & Gremler, D. D. (2018). Services marketing: Integrating customer focus across the firm (7th ed.). McGraw-Hill. (No DOI available)

This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in our journal are licensed under CC-BY 4.0, which permits authors to retain copyright of their work. This license allows for unrestricted use, sharing, and reproduction of the articles, provided that proper credit is given to the original authors and the source.