Impact of Infrastructure, Marketing, and Pricing Strategies On Customer Satisfaction Of Telecom Users A Sectoral Study

Authors

  • Dr. Amit Kumar Nag Professor The Bhopal School of Social Sciences Bhopal
  • Dr. Neelakshi Arora Assistant Professor The Bhopal School of Social Sciences Bhopal
  • Dr. Rahul Joshi Assistant Professor The Bhopal School of Social Sciences Bhopal

DOI:

https://doi.org/10.33516/maj.v57i11.34-40p

Abstract

The rapid growth and development of information technology has increased the competitiveness of the Indian telecom industry, leading to the intensification of competition in this industry. To evaluate telecom users’ customer satisfaction and preference for buying a particular network, researchers developed a model using five constructs: telecom network infrastructure, telecom provider marketing strategy, telecom network pricing policy, preference for buying, and customer satisfaction. The study concluded that pricing and marketing, not telecom infrastructure, influence consumer preferences. Infrastructure, not pricing, affects customer satisfaction in the telecom industry. Customer satisfaction can be affected by SIM preference. Airtel, BSNL, Vodafone Idea, and Jio have similar perceptions when compared.

Downloads

Download data is not yet available.

Downloads

Published

2022-11-01

How to Cite

Kumar Nag, D. A., Arora, D. N., & Joshi, D. R. (2022). Impact of Infrastructure, Marketing, and Pricing Strategies On Customer Satisfaction Of Telecom Users A Sectoral Study. The Management Accountant Journal, 57(11), 34–40. https://doi.org/10.33516/maj.v57i11.34-40p

Issue

Volume 57, Issue 11, November 2022

Section

Cover Story
Crossref
Scopus
Google Scholar
Europe PMC

References

Bamoriya, P. S., & Singh, P. (2011). Issues and Challenges in Mobile Banking In India : A Customers’ Perspective. Research Journal of Finance and Accounting, 2(2), 112–120. www.iiste.org

Danish, R. Q., Ahmad, F., Ateeq, A., Ali, H. Y., & Humayon, A. A. (2015). Factors Affecting Customer Retention in Telecom Sector of Pakistan. American Journal of Marketing Research, 1(2), 28–36.

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 ofMarketing Science, 43(1), 115–135. https://doi.org/10.1007/ s11747-014-0403-8

John, J. (2011). An analysis on the customer loyalty in telecom sector: Special reference to Bharath Sanchar Nigam limited, India. African Journal of Marketing Management, 3(1), 1–5. http://www.academicjournals.org/AJMM

Multigroup Analysis (MGA) - SmartPLS. (n.d.). Retrieved March 16, 2022, from https://www.smartpls. com/documentation/algorithms-and-techniques/ multigroup-analysis/

Nunnally, J. C. (1978). Psychometric theory. 701.

Pattnaik, S., & Mishra, U. S. (2022). Analyzing the Moderating Effect of Perceived Brand Image in Creating Customer Loyalty: A Case of Indian Telecom Industry. YMER Digital, 21(01), 226–240. https://doi.org/10.37896/ ymer21.01/21

Qalati, S. A., Yuan, L. W., Iqbal, S., Hussain, R. Y., & Ali, S. (2019). Impact of Price on Customer Satisfaction; mediating role of Consumer Buying Behavior in Telecoms Sector. International Journal of Research, 06(04), 150–165.

Savant, H. V., Management, S., Rd, R. G., Sahib, P., & Pradesh, H. (2021). Performance Analysis using Balanced Scorecard : An Analysis of Indian Telecom Sector.

Tanwar, I. A., & Mittal, A. K. (2022). Consumer ’ s Awareness in Telecommunications Companies and Reliance Jio. November 2020.

Vijayaragunathan, R., & John, K. K. (2022). Customer Retention Among Telecom Service Providers – A Markov Model Analysis. International Journal of Research in Engineering, Science and Management, 5(1), 51–55. http:// journals.resaim.com/ijresm/article/view/1661