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Assessing the Impact of Performance Metrics Optimization on Service Quality and Customer Satisfaction in the Nigerian Telecommunications Industry

Ogheneochuko Derrick Oghenevwede Obojobo Donatus Obukeajeta Joseph Thompson Eseoghene

Subject area: Science,Engineering and Technology  ·  Area of research: Performance Metrics Optimization

DOI: 10.64388/IREV9I12-1718539

Abstract

The Nigerian telecommunications industry has experienced remarkable growth over the past two decades, becoming one of the largest mobile markets in Africa. However, persistent challenges such as poor network quality, frequent call drops, congestion, and unresolved customer complaints continue to undermine service delivery and erode customer satisfaction. This study evaluates the impact of optimizing key performance metrics—including Call Setup Success Rate (CSSR), Call Drop Rate (CDR), Handover Success Rate (HOSR), and signal strength—on both service quality and customer satisfaction within Nigeria’s mobile sector. A mixed-methods research design was employed, relying on secondary data drawn from the Nigerian Communications Commission (NCC) Quality of Service reports (2022–2023), GSMA publications, and a dataset of 4,327 customer complaints lodged with consumer protection agencies. Data analysis was carried out using Microsoft Excel for KPI computation and SPSS for statistical testing, including ANOVA to compare operator performance. Results indicate that MTN and Airtel consistently outperformed Glo and 9mobile in CSSR and HOSR, yet none of the operators met NCC’s benchmark for CDR. Analysis of complaints further revealed that billing irregularities and poor customer service responsiveness were the dominant drivers of dissatisfaction, surpassing even technical network failures. The findings demonstrate that optimizing technical KPIs alone does not guarantee improved customer satisfaction; effective complaint resolution and transparent customer engagement mechanisms are equally critical. The study concludes that sustainable satisfaction requires a dual strategy combining network quality enhancement with robust customer relationship management. Limitations of this study include reliance on secondary data and the exclusion of real-time proprietary operator datasets, which may provide deeper insights. Future research should incorporate predictive analytics and machine learning approaches to monitor QoS trends and forecast customer churn, offering more proactive strategies for improving service quality in Nigeria’s telecommunications sector

Keywords

Performance Metrics, Service Quality, Customer Satisfaction, Telecommunications, Nigeria

References

[1] Bolton, R. N., & Drew, J. H. (1991). A multistage model of customers’ assessments of service quality and value. Journal of Consumer Research, 17(4), 375–384.

[2] Abd-Elrahman, A. H. (2018). A review of telecommunications service quality dimensions. Scholar Journal of Applied Sciences and Research, 1(1), 10–18.

[3] Alabar, T. T., Ode, E., & Gbande, I. R. (2017). Service quality and customer satisfaction in Nigerian mobile telephony. British Journal of Marketing Studies, 5(3), 1–13.

[4] Nigerian Communications Commission (NCC). (2023). Industry statistics and QoS reports. Retrieved from http://www.ncc.gov.ng

[5] Chen, J. S., & Ching, R. (2006). The study of mobile customer relationship management and loyalty. Proceedings of the International Conference on Service Systems and Service Management, 1, 67–72.

[6] Momodu, M., & Akpamu, U. (2014). Global system of mobile communication as tool for information technology among lecturers in college of medicine. Advances in Applied Science Research, 5(2), 368–372.

[7] Lawal, B. Y., Ukhurebor, K. E., Adekoya, M. A., & Aigbe, E. E. (2016). Quality of service and performance analysis of a GSM network in Eagle Square, Abuja and environs. International Journal of Scientific & Engineering Research, 7(8), 1992–1999.

[8] Nigerian Communications Commission (NCC). (2015). QoS (technical) benchmarks for mobile services. Retrieved from http://www.ncc.gov.ng

[9] Jones, T. O., & Sasser, W. E. (1995). Why satisfied customers defect. Harvard Business Review, 73(6), 88–99.

[10] Mano, H., & Oliver, R. L. (1993). Assessing the dimensionality and structure of the consumption experience. Journal of Consumer Research, 20(3), 451–466.

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

[12] Brown, T. J., Churchill, G. A., & Peter, J. P. (1992). Improving the measurement of service quality. Journal of Retailing, 69(1), 127–139.

[13] Bitner, M. J., Booms, B. H., & Tetreault, M. S. (1990). The service encounter: Diagnosing favorable and unfavorable incidents. Journal of Marketing, 54(1), 71–84.

[14] Anderson, E. W., & Fornell, C. (1994). Customer satisfaction, market share, and profitability: Findings from Sweden. Journal of Marketing, 58(3), 53–66. https://doi.org/10.1177/002224299405800304

[15] Fornell, C. (1992). A national customer satisfaction barometer: The Swedish experience. Journal of Marketing, 56(1), 6–21.

[16] Heskett, J. L., & Sasser, W. E. (2010). The service profit chain. In P. P. Maglio, C. A. Kieliszewski, & J. C. Spohrer (Eds.), Handbook of service science (pp. 19–29). Springer.

[17] Reichheld, F. F., & Sasser, W. E. (1990). Zero defections: Quality comes to services. Harvard Business Review, 68(5), 105–111.

[18] Rust, R. T., & Oliver, R. L. (1994). Service quality: Insights and managerial implications from the frontier. In R. T. Rust & R. L. Oliver (Eds.), Service quality: New directions in theory and practice (pp. 241–268). Sage.

[19] Shafiq, Y., Shafiq, I., Din, M. S., & Cheema, K. U. (2013). Impact of service quality on customer satisfaction: A study of hotel industry of Faisalabad, Pakistan. International Journal of Management & Organizational Studies, 2(1), 49–53.

[20] McDougall, G. H., & Levesque, T. (2000). Customer satisfaction with services: Putting perceived value into the equation. Journal of Services Marketing, 14(5), 392–410.

[21] Eshghi, A., Haughton, D., & Topi, H. (2007). Determinants of customer loyalty in the wireless telecommunications industry. Telecommunications Policy, 31(2), 93–106.

[22] Adegoke, A. S., Babalola, I. T., & Balogun, W. A. (2008). Performance evaluation of GSM mobile system in Nigeria. Pacific Journal of Science and Technology, 9(2), 436–441.

[23] Alabi, I. K., Sagir, L., Fatai, O. A., & Alabi, I. I. (2017). GSM quality of service performance in Abuja, Nigeria. International Journal of Computer Science, Engineering and Applications, 7(4), 29–40. https://doi.org/10.5121/ijcsea.2017.7403

[24] Aninyie, P. (2012). Performance evaluation of a GSM/GPRS cellular network using the CSSR with direct TCH assignment feature. Unpublished master’s thesis, Kwame Nkrumah University of Science and Technology, Ghana.

[25] Popoola, J. J., Megbowon, J. O., & Adeloye, V. S. (2009). Performance evaluation and improvement on quality of service of GSM in Nigeria. Journal of Information Technology Impact, 9(2), 91–106.

[26] Adegoke, A. S., & Babalola, I. T. (2011). Quality of service analysis of GSM telephone system in Nigeria. American Journal of Scientific and Industrial Research, 2(5), 707–712. https://doi.org/10.5251/ajsir.2011.2.5.707.712

[27] Kadioglu, R., Dalveren, Y., & Kara, A. (2015). Quality of service assessment: A case study on performance benchmarking of cellular network operators in Turkey. Turkish Journal of Electrical Engineering & Computer Sciences, 23(2), 548–559. https://doi.org/10.3906/elk-1302-191

[28] Carlos, E., Otero, I. K., Luis, D. O., & Scott, L. M. (2010). Characterization of user-perceived quality of service in mobile devices using network pairwise comparisons. International Journal of Wireless and Mobile Networks, 2(3), 141–153. https://doi.org/10.5121/ijwmn.2010.2310

[29] Anderson, E. W., Fornell, C., & Lehmann, D. R. (1994). Customer satisfaction, market share, and profitability. Journal of Marketing, 58(3), 53–66.

[30] Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31–46.

[31] Dawit, B. J., & Adem, U. (2018). The effect of perceived service quality on customer satisfaction in private commercial banks of Ethiopia: The case of selected banks at Dire Dawa. Business and Economics Journal, 9(2), 1–4. https://doi.org/10.4172/2151-6219.1000358

[32] Kumar, V., Batista, L., & Maull, R. (2011). The impact of operations performance on customer loyalty. Service Science, 3(2), 158–171.

[33] Gilbert, G. R., & Veloutsou, C. (2006). A cross-industry comparison of customer satisfaction. Journal of Services Marketing, 20(5), 298–308. https://doi.org/10.1108/08876040610679918

[34] Grönroos, C. (1988). Service quality: The six criteria of good perceived service quality. Review of Business, 9(3), 10–13.

[35] Halstead, D., Hartman, D., & Schmidt, S. L. (1994). Multisource effects on the satisfaction formation process. Journal of the Academy of Marketing Science, 22(2), 114–129.

[36] Coner, A., & Gungor, M. O. (2002). Factors affecting customer loyalty in the competitive Turkish metropolitan retail markets. Journal of the American Academy of Business, 2(1), 189–195.

[37] Anderson, H., & Jacobsen, P. N. (2000). Creating loyalty: Its strategic importance in your customer strategy. In S. A. Brown (Ed.), Customer relationship management (pp. 55–78). Ontario: John Wiley.

[38] Crosby, P. B. (1996). Quality is still free: Making quality certain in uncertain times. New York: McGraw-Hill.

[39] Dahunsi, F. M., & Kolawole, G. (2015). Participatory analysis of cellular network quality of service. International Journal of Computing and ICT Research, 9(1), 25–40.

[40] Agyapong, K. Q. (2010). The effect of service quality on customer satisfaction in the utility industry: A case of Vodafone (Ghana). International Journal of Business and Management, 6(5), 203–210. https://doi.org/10.5539/ijbm.v6n5p203

[41] Gajanan, P. U., & Deshmukh, C. N. (2013). QoS based CAC scheme for 3G wireless cellular networks: A review. International Journal of Computer Science and Applications, 6(2), 181–185.

[42] Athanassopoulos, A. D. (2000). Customer satisfaction cues to support market segmentation and explain switching behavior. Journal of Business Research, 47(3), 191–207.

[43] Choi, D. H., Kim, C. M., Kim, S., & Kim, S. H. (2006). Customer loyalty and disloyalty in Internet retail stores: Its antecedents and its effect on customer price sensitivity. International Journal of Management, 23(4), 925–943.

[44] Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2007). Multivariate data analysis (6th ed.). New Jersey: Pearson Education.

[45] Jahanzeb, S., Tasneem, F., & Khan, B. (2011). An empirical analysis of customer loyalty in Pakistan’s telecommunication industry. Database Marketing & Customer Strategy Management, 18(1), 5–15.

[46] Venetis, K. A., & Ghauri, P. N. (2004). Service quality and customer retention: Building long-term relationships. European Journal of Marketing, 38(11/12), 1577–1598.

[47] Giese, J. L., & Cote, J. A. (2000). Defining consumer satisfaction. Academy of Marketing Science Review, 1(1), 1–27.

[48] Buzzell, R. D., & Gale, B. T. (1987). The PIMS principles: Linking strategy to performance. New York: Free Press.

[49] Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.Varki, S., & Colgate, M. (2001). The role of price perceptions in an integrated model of behavioral intentions. Journal of Service Research, 3(3), 232–240.

How to cite this paper

Ogheneochuko Derrick Oghenevwede, Obojobo Donatus Obukeajeta, Joseph Thompson Eseoghene "Assessing the Impact of Performance Metrics Optimization on Service Quality and Customer Satisfaction in the Nigerian Telecommunications Industry" Iconic Research And Engineering Journals Volume 9 Issue 12 2026 Page 3733-3749 https://doi.org/10.64388/IREV9I12-1718539
Ogheneochuko Derrick Oghenevwede, Obojobo Donatus Obukeajeta, Joseph Thompson Eseoghene "Assessing the Impact of Performance Metrics Optimization on Service Quality and Customer Satisfaction in the Nigerian Telecommunications Industry" Iconic Research And Engineering Journals, vol. 9, no. 12, Jun. 2026, doi: https://doi.org/10.64388/IREV9I12-1718539
Ogheneochuko Derrick Oghenevwede, Obojobo Donatus Obukeajeta, Joseph Thompson Eseoghene (2026). Assessing the Impact of Performance Metrics Optimization on Service Quality and Customer Satisfaction in the Nigerian Telecommunications Industry. Iconic Research And Engineering Journals, 9(12). doi: https://doi.org/10.64388/IREV9I12-1718539
Ogheneochuko Derrick Oghenevwede, Obojobo Donatus Obukeajeta, Joseph Thompson Eseoghene "Assessing the Impact of Performance Metrics Optimization on Service Quality and Customer Satisfaction in the Nigerian Telecommunications Industry" Iconic Research And Engineering Journals, vol. 9, no. 12, Jun. 2026. Crossref, https://doi.org/10.64388/IREV9I12-1718539
@article{1718539,
      author = {Ogheneochuko Derrick Oghenevwede, Obojobo Donatus Obukeajeta, Joseph Thompson Eseoghene},
      title = {Assessing the Impact of Performance Metrics Optimization on Service Quality and Customer Satisfaction in the Nigerian Telecommunications Industry},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {12},
      pages = {3733-3749},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1718539.pdf},
      abstract = {The Nigerian telecommunications industry has experienced remarkable growth over the past two decades, becoming one of the largest mobile markets in Africa. However, persistent challenges such as poor network quality, frequent call drops, congestion, and unresolved customer complaints continue to undermine service delivery and erode customer satisfaction. This study evaluates the impact of optimizing key performance metrics—including Call Setup Success Rate (CSSR), Call Drop Rate (CDR), Handover Success Rate (HOSR), and signal strength—on both service quality and customer satisfaction within Nigeria’s mobile sector. A mixed-methods research design was employed, relying on secondary data drawn from the Nigerian Communications Commission (NCC) Quality of Service reports (2022–2023), GSMA publications, and a dataset of 4,327 customer complaints lodged with consumer protection agencies. Data analysis was carried out using Microsoft Excel for KPI computation and SPSS for statistical testing, including ANOVA to compare operator performance. Results indicate that MTN and Airtel consistently outperformed Glo and 9mobile in CSSR and HOSR, yet none of the operators met NCC’s benchmark for CDR. Analysis of complaints further revealed that billing irregularities and poor customer service responsiveness were the dominant drivers of dissatisfaction, surpassing even technical network failures. The findings demonstrate that optimizing technical KPIs alone does not guarantee improved customer satisfaction; effective complaint resolution and transparent customer engagement mechanisms are equally critical. The study concludes that sustainable satisfaction requires a dual strategy combining network quality enhancement with robust customer relationship management. Limitations of this study include reliance on secondary data and the exclusion of real-time proprietary operator datasets, which may provide deeper insights. Future research should incorporate predictive analytics and machine learning approaches to monitor QoS trends and forecast customer churn, offering more proactive strategies for improving service quality in Nigeria’s telecommunications sector},
      keywords = {Performance Metrics, Service Quality, Customer Satisfaction, Telecommunications, Nigeria},
      month = {June},
      doi = {https://doi.org/10.64388/IREV9I12-1718539}
  }