A Mathematical Model for Estimating the Quality of Service of Mobile Cellular Network Provider in Nigeria

Ohuabunwa Augustine Ebere; Icheke Led; Kadiri Ramotu Ochuwa; Obinna Okeke

doi:doi:10.11648/j.ajeit.20210502.16

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A Mathematical Model for Estimating the Quality of Service of Mobile Cellular Network Provider in Nigeria

Ohuabunwa Augustine Ebere, Icheke Led, Kadiri Ramotu Ochuwa, Obinna Okeke

Published in American Journal of Education and Information Technology (Volume 5, Issue 2)

Received: 28 October 2021 Accepted: 16 November 2021 Published: 27 November 2021

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Abstract

The liberalization of telecommunication sector in Nigeria led to serious competition among the cellular mobile network service providers. In spite of the big financial commitment by these companies into their particular communication technologies, users ultimately make purchasing decisions based on their identified quality of service (QoS). To meet the expectation of subscribers on quality service delivery and gain a sustainable competitive edge in the market, network providers have to understand and characterize customer’s view of the quality of service provided by their given technologies. In this study, the factors that influence the quality of service of mobile network operators in Nigeria were assessed through a cross-sectional survey design. A total of 100 experts from telecommunication industry and 300 subscribers of the four major network operators (MTN, Glo, Airtel, 9 Mobile) aged between 18 and 65 years living in the South East (Imo State, Ebonyi State, Anambra State, Abia State and Enugu State) of Nigeria were enrolled into the study using a random sampling technique. The quantitative approach used was regression analysis. In order to manage the large volume of data gathered, statistical package for social sciences [SPSS] software window version 18.0 was employed. It was observed that the factors that influence the quality of service of mobile cellular network providers in Nigeria are: Customer care (L2), Network coverage/ Availability of service (L5), Price of service (L4), Call quality (L3), Diversity of bundle option of service (L1) and Promotion/Offering of Incentive (L6). When considered together, all the factors significantly affect the quality of services of the mobile network service provider with 0.000 significant level of confidence. A model of the relationship between the Quality of service (dependent variable) and the Quality of service factors (independent variables) was derived as: Y=3.731 + 0.565L5 + 0.440L3 + 0.221L2 + 0.189L4 + 0.165L1 + 0.097L6. It is suggested that telecommunication industries invest more on radio infrastructural development to guarantee a very wide coverage area and boost Call quality.

Published in	American Journal of Education and Information Technology (Volume 5, Issue 2)
DOI	10.11648/j.ajeit.20210502.16
Page(s)	97-105
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Quality of Service, Mobile Cellular Network, Relationship Model, Quality of Service Factors

References

[1]	Kang (2006) The hierarchical structure of service quality: Integration of technical and functional quality. Manage Sev Quality 16: 37-50.
[2]	Adeleke, Aminu (2012) The determinants of customer loyalty in Nigeria's GSM market. Int J Business Social Sci 3: 209-222.
[3]	Berry, Parasuraman (1991) Marketing Services: Competing Through Quality. New York: Free Press.
[4]	Farnaz Farid, Seyed Shahrestani and Chun Ruan (2013) Quality of Service Concerns in Wireless and Cellular Networks. Communications of the IBIMA, Vol. 2013 (2013).
[5]	Haque, A et al (2010) Factors Determinants the Choice of Mobile Service Providers: Structural Equation Modeling Approach on Bangladeshi Consumers. Business and Economics Research Journal 1 (3): 17-34.
[6]	Rajesh, k. y and Nishant, D. (2013) Impact of Service Quality on Customer Satisfaction of Mobile Users. International Journal of Innovative Research and Studies 5 (2): 141-146.
[7]	Asiegbu B. C., Ohuabunwa A. E., Nwakanma I. C., and Ezeh G. N. (2015) Assessment of the Factors affecting Quality of Service of Cellular Mobile Network Operators in Nigeria for the Period 2010 to 2014. International Journal of Engineering and Modern Technology 1 (2): 1-11.
[8]	Okeke (2014) Factors Influencing the choice of GSM Network among oil and Gas Workers in Port Harcourt, Nigeria. Int J Emerging Knowledge 2: 8-22.
[9]	Nwakanma IC, Udunwa AI, Anyiam KE, Ukwunna ED, Obasi EC, et al. (2018) Factors Influencing Telecommunication subscribers’ decision to port among network providers in Nigeria. Am J Compt Sci Inform Technol Vol. 6 No. 1: 15.
[10]	Kotler, Armstrong (2010) Principles of Marketing, 11 Edition. New York: Prentice Hall International.
[11]	Ndubisi, Moi (2006) Customer behavioural responses to sales Promotion. The role of fear of losing face. Asia Pacific Journal of Marketing and Logistics 17: 32-49.
[12]	Reena (2012) A study on factors Influencing brand loyalty in mobile service providers among college of business students of University Utara Malaysia. Thesis unpublished University Utara Malaysia.
[13]	Kim, Park, Jeong (2004) The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile Telecommunication services. Electronics and Telecommunication Research Institute School of Business, Information and Communication University, Yusong-gu, Hwaan-dong, Taejon 305-348.
[14]	Yoo, Park (2007) Perceived service quality: Analyzing relationship among employees, customers, and financial performance. Int J Quality & Reliability Management 24: 908-926.
[15]	Smyth (2004) Exploring the usefulness of a conceptual framework as a research tool: A researcher's reflection Issues in Educational Research 14: 167-180.
[16]	Rajkumar Paulrajan and Harish Rajkumar (2010) Service Quality and Customers Preference of Cellular Mobile Service Providers. The Journal of Technology Management & Innovation 6: 40-45.
[17]	Kostanic, I., Mijatovic, N. and Vest, S. D. (2009) Measurement Based QoS Comparison of Cellular.
[18]	Yadav et al (2013) Global Mobile Communication. New Delhi, Miley.
[19]	Nigerian Communication Commission (2021) Active telecoms subscribers slide by 2.11% in April.
[20]	Gajanan, P. U., and 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.
[21]	Dahunsi, F. M., and Kolawole, G. (2015). Participatory analysis of cellular network quality ofservice. International Journal of Computing and ICT Research, 9 (1), 25-40.

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APA Style

Ohuabunwa Augustine Ebere, Icheke Led, Kadiri Ramotu Ochuwa, Obinna Okeke. (2021). A Mathematical Model for Estimating the Quality of Service of Mobile Cellular Network Provider in Nigeria. American Journal of Education and Information Technology, 5(2), 97-105. https://doi.org/10.11648/j.ajeit.20210502.16

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ACS Style

Ohuabunwa Augustine Ebere; Icheke Led; Kadiri Ramotu Ochuwa; Obinna Okeke. A Mathematical Model for Estimating the Quality of Service of Mobile Cellular Network Provider in Nigeria. Am. J. Educ. Inf. Technol. 2021, 5(2), 97-105. doi: 10.11648/j.ajeit.20210502.16

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AMA Style

Ohuabunwa Augustine Ebere, Icheke Led, Kadiri Ramotu Ochuwa, Obinna Okeke. A Mathematical Model for Estimating the Quality of Service of Mobile Cellular Network Provider in Nigeria. Am J Educ Inf Technol. 2021;5(2):97-105. doi: 10.11648/j.ajeit.20210502.16

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@article{10.11648/j.ajeit.20210502.16,
  author = {Ohuabunwa Augustine Ebere and Icheke Led and Kadiri Ramotu Ochuwa and Obinna Okeke},
  title = {A Mathematical Model for Estimating the Quality of Service of Mobile Cellular Network Provider in Nigeria},
  journal = {American Journal of Education and Information Technology},
  volume = {5},
  number = {2},
  pages = {97-105},
  doi = {10.11648/j.ajeit.20210502.16},
  url = {https://doi.org/10.11648/j.ajeit.20210502.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajeit.20210502.16},
  abstract = {The liberalization of telecommunication sector in Nigeria led to serious competition among the cellular mobile network service providers. In spite of the big financial commitment by these companies into their particular communication technologies, users ultimately make purchasing decisions based on their identified quality of service (QoS). To meet the expectation of subscribers on quality service delivery and gain a sustainable competitive edge in the market, network providers have to understand and characterize customer’s view of the quality of service provided by their given technologies. In this study, the factors that influence the quality of service of mobile network operators in Nigeria were assessed through a cross-sectional survey design. A total of 100 experts from telecommunication industry and 300 subscribers of the four major network operators (MTN, Glo, Airtel, 9 Mobile) aged between 18 and 65 years living in the South East (Imo State, Ebonyi State, Anambra State, Abia State and Enugu State) of Nigeria were enrolled into the study using a random sampling technique. The quantitative approach used was regression analysis. In order to manage the large volume of data gathered, statistical package for social sciences [SPSS] software window version 18.0 was employed. It was observed that the factors that influence the quality of service of mobile cellular network providers in Nigeria are: Customer care (L2), Network coverage/ Availability of service (L5), Price of service (L4), Call quality (L3), Diversity of bundle option of service (L1) and Promotion/Offering of Incentive (L6). When considered together, all the factors significantly affect the quality of services of the mobile network service provider with 0.000 significant level of confidence. A model of the relationship between the Quality of service (dependent variable) and the Quality of service factors (independent variables) was derived as: Y=3.731 + 0.565L5 + 0.440L3 + 0.221L2 + 0.189L4 + 0.165L1 + 0.097L6. It is suggested that telecommunication industries invest more on radio infrastructural development to guarantee a very wide coverage area and boost Call quality.},
 year = {2021}
}

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TY  - JOUR
T1  - A Mathematical Model for Estimating the Quality of Service of Mobile Cellular Network Provider in Nigeria
AU  - Ohuabunwa Augustine Ebere
AU  - Icheke Led
AU  - Kadiri Ramotu Ochuwa
AU  - Obinna Okeke
Y1  - 2021/11/27
PY  - 2021
N1  - https://doi.org/10.11648/j.ajeit.20210502.16
DO  - 10.11648/j.ajeit.20210502.16
T2  - American Journal of Education and Information Technology
JF  - American Journal of Education and Information Technology
JO  - American Journal of Education and Information Technology
SP  - 97
EP  - 105
PB  - Science Publishing Group
SN  - 2994-712X
UR  - https://doi.org/10.11648/j.ajeit.20210502.16
AB  - The liberalization of telecommunication sector in Nigeria led to serious competition among the cellular mobile network service providers. In spite of the big financial commitment by these companies into their particular communication technologies, users ultimately make purchasing decisions based on their identified quality of service (QoS). To meet the expectation of subscribers on quality service delivery and gain a sustainable competitive edge in the market, network providers have to understand and characterize customer’s view of the quality of service provided by their given technologies. In this study, the factors that influence the quality of service of mobile network operators in Nigeria were assessed through a cross-sectional survey design. A total of 100 experts from telecommunication industry and 300 subscribers of the four major network operators (MTN, Glo, Airtel, 9 Mobile) aged between 18 and 65 years living in the South East (Imo State, Ebonyi State, Anambra State, Abia State and Enugu State) of Nigeria were enrolled into the study using a random sampling technique. The quantitative approach used was regression analysis. In order to manage the large volume of data gathered, statistical package for social sciences [SPSS] software window version 18.0 was employed. It was observed that the factors that influence the quality of service of mobile cellular network providers in Nigeria are: Customer care (L2), Network coverage/ Availability of service (L5), Price of service (L4), Call quality (L3), Diversity of bundle option of service (L1) and Promotion/Offering of Incentive (L6). When considered together, all the factors significantly affect the quality of services of the mobile network service provider with 0.000 significant level of confidence. A model of the relationship between the Quality of service (dependent variable) and the Quality of service factors (independent variables) was derived as: Y=3.731 + 0.565L5 + 0.440L3 + 0.221L2 + 0.189L4 + 0.165L1 + 0.097L6. It is suggested that telecommunication industries invest more on radio infrastructural development to guarantee a very wide coverage area and boost Call quality.
VL  - 5
IS  - 2
ER  -

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Author Information

Ohuabunwa Augustine Ebere

Information Communication Technology Unit, Electronics Development Institute, Awka, Nigeria
Icheke Led

Production Unit, Electronics Development Institute, Awka, Nigeria
Kadiri Ramotu Ochuwa

Information Communication Technology Unit, Electronics Development Institute, Awka, Nigeria
Obinna Okeke

Research and Development Unit, Electronics Development Institute, Awka, Nigeria

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APA Style

Ohuabunwa Augustine Ebere, Icheke Led, Kadiri Ramotu Ochuwa, Obinna Okeke. (2021). A Mathematical Model for Estimating the Quality of Service of Mobile Cellular Network Provider in Nigeria. American Journal of Education and Information Technology, 5(2), 97-105. https://doi.org/10.11648/j.ajeit.20210502.16

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ACS Style

Ohuabunwa Augustine Ebere; Icheke Led; Kadiri Ramotu Ochuwa; Obinna Okeke. A Mathematical Model for Estimating the Quality of Service of Mobile Cellular Network Provider in Nigeria. Am. J. Educ. Inf. Technol. 2021, 5(2), 97-105. doi: 10.11648/j.ajeit.20210502.16

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AMA Style

Ohuabunwa Augustine Ebere, Icheke Led, Kadiri Ramotu Ochuwa, Obinna Okeke. A Mathematical Model for Estimating the Quality of Service of Mobile Cellular Network Provider in Nigeria. Am J Educ Inf Technol. 2021;5(2):97-105. doi: 10.11648/j.ajeit.20210502.16

Copy | Download

@article{10.11648/j.ajeit.20210502.16,
  author = {Ohuabunwa Augustine Ebere and Icheke Led and Kadiri Ramotu Ochuwa and Obinna Okeke},
  title = {A Mathematical Model for Estimating the Quality of Service of Mobile Cellular Network Provider in Nigeria},
  journal = {American Journal of Education and Information Technology},
  volume = {5},
  number = {2},
  pages = {97-105},
  doi = {10.11648/j.ajeit.20210502.16},
  url = {https://doi.org/10.11648/j.ajeit.20210502.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajeit.20210502.16},
  abstract = {The liberalization of telecommunication sector in Nigeria led to serious competition among the cellular mobile network service providers. In spite of the big financial commitment by these companies into their particular communication technologies, users ultimately make purchasing decisions based on their identified quality of service (QoS). To meet the expectation of subscribers on quality service delivery and gain a sustainable competitive edge in the market, network providers have to understand and characterize customer’s view of the quality of service provided by their given technologies. In this study, the factors that influence the quality of service of mobile network operators in Nigeria were assessed through a cross-sectional survey design. A total of 100 experts from telecommunication industry and 300 subscribers of the four major network operators (MTN, Glo, Airtel, 9 Mobile) aged between 18 and 65 years living in the South East (Imo State, Ebonyi State, Anambra State, Abia State and Enugu State) of Nigeria were enrolled into the study using a random sampling technique. The quantitative approach used was regression analysis. In order to manage the large volume of data gathered, statistical package for social sciences [SPSS] software window version 18.0 was employed. It was observed that the factors that influence the quality of service of mobile cellular network providers in Nigeria are: Customer care (L2), Network coverage/ Availability of service (L5), Price of service (L4), Call quality (L3), Diversity of bundle option of service (L1) and Promotion/Offering of Incentive (L6). When considered together, all the factors significantly affect the quality of services of the mobile network service provider with 0.000 significant level of confidence. A model of the relationship between the Quality of service (dependent variable) and the Quality of service factors (independent variables) was derived as: Y=3.731 + 0.565L5 + 0.440L3 + 0.221L2 + 0.189L4 + 0.165L1 + 0.097L6. It is suggested that telecommunication industries invest more on radio infrastructural development to guarantee a very wide coverage area and boost Call quality.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - A Mathematical Model for Estimating the Quality of Service of Mobile Cellular Network Provider in Nigeria
AU  - Ohuabunwa Augustine Ebere
AU  - Icheke Led
AU  - Kadiri Ramotu Ochuwa
AU  - Obinna Okeke
Y1  - 2021/11/27
PY  - 2021
N1  - https://doi.org/10.11648/j.ajeit.20210502.16
DO  - 10.11648/j.ajeit.20210502.16
T2  - American Journal of Education and Information Technology
JF  - American Journal of Education and Information Technology
JO  - American Journal of Education and Information Technology
SP  - 97
EP  - 105
PB  - Science Publishing Group
SN  - 2994-712X
UR  - https://doi.org/10.11648/j.ajeit.20210502.16
AB  - The liberalization of telecommunication sector in Nigeria led to serious competition among the cellular mobile network service providers. In spite of the big financial commitment by these companies into their particular communication technologies, users ultimately make purchasing decisions based on their identified quality of service (QoS). To meet the expectation of subscribers on quality service delivery and gain a sustainable competitive edge in the market, network providers have to understand and characterize customer’s view of the quality of service provided by their given technologies. In this study, the factors that influence the quality of service of mobile network operators in Nigeria were assessed through a cross-sectional survey design. A total of 100 experts from telecommunication industry and 300 subscribers of the four major network operators (MTN, Glo, Airtel, 9 Mobile) aged between 18 and 65 years living in the South East (Imo State, Ebonyi State, Anambra State, Abia State and Enugu State) of Nigeria were enrolled into the study using a random sampling technique. The quantitative approach used was regression analysis. In order to manage the large volume of data gathered, statistical package for social sciences [SPSS] software window version 18.0 was employed. It was observed that the factors that influence the quality of service of mobile cellular network providers in Nigeria are: Customer care (L2), Network coverage/ Availability of service (L5), Price of service (L4), Call quality (L3), Diversity of bundle option of service (L1) and Promotion/Offering of Incentive (L6). When considered together, all the factors significantly affect the quality of services of the mobile network service provider with 0.000 significant level of confidence. A model of the relationship between the Quality of service (dependent variable) and the Quality of service factors (independent variables) was derived as: Y=3.731 + 0.565L5 + 0.440L3 + 0.221L2 + 0.189L4 + 0.165L1 + 0.097L6. It is suggested that telecommunication industries invest more on radio infrastructural development to guarantee a very wide coverage area and boost Call quality.
VL  - 5
IS  - 2
ER  -

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