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Exploring the Early Diffusion of Next Generation Mobile Communication Technology: Insights from an Emerging Economy

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Transfer, Diffusion and Adoption of Next-Generation Digital Technologies (TDIT 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 698))

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Abstract

The Fourth and Fifth Generation (4G and 5G) Mobile Communication Technology (MCT) is a crucial development that is expected to bridge digital divides worldwide and has significant economic implications for nations. However, there is a lack of research regarding the interplay of market heterogeneities with the diffusion of such 4G and 5G MCTs, particularly in emerging economies. This study aims to fill this research gap by conducting a quantitative analysis, by taking the case of early diffusion of 4G MCT across the twenty-two administrative regions (aka telecom circles) of India, where a new Mobile Network Operator (MNO) had simultaneously launched the 4G service. Using the Diffusion of Innovations theory and the Heterogenous Markets Hypothesis, the study puts forth several propositions that emphasize the role of market heterogeneity in mobilizing different forces in diffusion, such as imitative influences through word of mouth, and the power of innovation to mobilize Innovators and Early movers.

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Notes

  1. 1.

    In simple terms, Mobile Communication Technologies (MCTs) could be understood as Mobile Network Infrastructures (including radio towers, electronic equipment, fiber/copper cable, etc.) adhering to specific types of “networking standards” (e.g., GSM, CDMA, etc.), facilitating the provision of voice and supplementary services through handheld and mobile devices (for a detailed discussion regarding MCTs, please refer to [9]).

References

  1. Bass, F.M.: A new product growth for model consumer durables. Manag. Sci. 15(5), 215–227 (1969)

    Article  MATH  Google Scholar 

  2. Bass, F.M., et al.: Why the bass model fits without decision variables. Mark. Sci. 33(3), 203–223 (1994). https://doi.org/10.1287/mksc.13.3.203

    Article  Google Scholar 

  3. Berger, R.D.: Comparison of the Gompertez and Logistic equations to describe plant disease progress. Phytopathology 71, 716–719 (1981). https://doi.org/10.1094/Phyto-71-716

    Article  Google Scholar 

  4. Dahlman, E., Sko, J.: 4G LTE/LTE-Advance for Mobile Broadband, 2nd edn. (2014)

    Google Scholar 

  5. Fareena, S., et al.: A meta-analysis of applications of diffusion models. J. Mark. Res. 27(1), 70–77 (1990). https://doi.org/10.1016/0169-2070(90)90047-F

    Article  Google Scholar 

  6. Franses, P.H.: Fitting a Gompertz curve. J. Oper. Res. Soc. 45(1), 109–113 (1994). https://doi.org/10.1057/jors.1994.11

    Article  MATH  Google Scholar 

  7. Gabriel, C.: A disruptive Indian operator at last – Reliance Jio starts to show its colors (2016). https://rethinkresearch.biz/articles/disruptive-indian-operator-last-reliance-jio-starts-show-colors/

  8. GSA: VoLTE and ViLTE: Global Market Update. https://gsacom.com/paper/gsa-announces-253-operators-investing-volte/

  9. Gupta, R., Jain, K.: Diffusion of mobile telephony in India: an empirical study. Technol. Forecast. Soc. Change 79(4), 709–715 (2012). https://doi.org/10.1016/j.techfore.2011.08.003

    Article  Google Scholar 

  10. Honoré, B.: Diffusion of mobile telephony: analysis of determinants in Cameroon. Telecommun. Policy 43(3), 287–298 (2019). https://doi.org/10.1016/j.telpol.2018.08.002

    Article  MathSciNet  Google Scholar 

  11. Hsiao, J.P.H., et al.: Information diffusion and new product consumption: a bass model application to tourism facility management. J. Bus. Res. 62(7), 690–697 (2009). https://doi.org/10.1016/j.jbusres.2008.08.002

    Article  Google Scholar 

  12. ITU-UNESCO: The State of Broadband 2020: Tackling digital inequalities (2020)

    Google Scholar 

  13. ITU: ITU-R. http://www.itu.int/en/publications/ITU-R/Pages/default.aspx

  14. Jha, A., et al.: Network investment as drivers of mobile subscription – a firm-level analysis. Inf. Syst. Front. (2022). https://doi.org/10.1007/s10796-022-10322-0

    Article  Google Scholar 

  15. Jha, A., Saha, D.: Forecasting and analysing the characteristics of 3G and 4G mobile broadband diffusion in India: A comparative evaluation of Bass, Norton-Bass, Gompertz, and logistic growth models. Technol. Forecast. Soc. Change 152, 119885 (2020). https://doi.org/10.1016/j.techfore.2019.119885

  16. Kock, N., Gaskins, L.: The mediating role of voice and accountability in the relationship between internet diffusion and government corruption in Latin America and Sub-Saharan Africa. Inf. Technol. Dev. 20(1), 23–43 (2014). https://doi.org/10.1080/02681102.2013.832129

    Article  Google Scholar 

  17. Mahajan, V., et al.: Innovation diffusion and new product growth models in marketing. J. Mark. 43(4), 55–68 (1979). https://doi.org/10.2307/1250271

    Article  Google Scholar 

  18. Mahajan, V., Muller, E.: Timing, diffusion, and substitution of successive generations of technological innovations: the IBM mainframe case. Technol. Forecast. Soc. Change 132, 109–132 (1996)

    Google Scholar 

  19. Manchanda, M.: India’s telecom subscriber base hits 1,205 mn in Feb, thanks to Jio, BSNL (2019). https://www.business-standard.com/article/companies/india-s-telecom-subscriber-base-hits-1-205-mn-in-feb-thanks-to-jio-bsnl-119041801305_1.html

  20. Michalakelis, C., et al.: Diffusion models of mobile telephony in Greece. Telecommun. Policy 32(3–4), 234–245 (2008). https://doi.org/10.1016/j.telpol.2008.01.004

    Article  Google Scholar 

  21. Naseri, B.M., Elliott, G.: The diffusion of online shopping in Australia: comparing the Bass, Logistic and Gompertz growth models. J. Mark. Anal. 1(1), 49–60 (2013). https://doi.org/10.1057/jma.2013.2

    Article  Google Scholar 

  22. Norton, J.A., Bass, F.M.: A diffusion theory model of adoption and substitution for successive generations of high-technology products. Manag. Sci. 33(9), 1069–1086 (1987). https://doi.org/10.1287/mnsc.33.9.1069

  23. Oughton, E.J., Jha, A.: Supportive 5G infrastructure policies are essential for universal 6G: assessment using an open-source techno-economic simulation model utilizing remote sensing. IEEE Access 9, 101924–101945 (2021). https://doi.org/10.1109/ACCESS.2021.3097627

    Article  Google Scholar 

  24. Rissen, J.-P.: Mapping the wireless technology migration path: the evolution to 4g systems

    Google Scholar 

  25. Rogers, E.M.: Diffusion of Innovations, New York (2010)

    Google Scholar 

  26. Sachdeva, S.: Jio’s Growth Hacking Strategy Makes Airtel Lose Its 10 Years Old Customer. https://www.marketingmind.in/jios-growth-hacking-strategy-makes-airtel-lose-10-years-old-customer/

  27. Sharif, M.N., Islam, M.N.: The Weibull distribution as a general model for forecasting technological change. Technol. Forecast. Soc. Change 18(3), 247–256 (1980). https://doi.org/10.1016/0040-1625(80)90026-8

    Article  Google Scholar 

  28. Srinivasan, V., Mason, C.H.: Nonlinear least squares estimation of new product diffusion models. Mark. Sci. 5(2), 169–178 (1986)

    Article  Google Scholar 

  29. Sultanov, A., et al.: The diffusion of mobile telephony in Kazakhstan: an empirical analysis. Technol. Forecast. Soc. Change 106, 45–52 (2016). https://doi.org/10.1016/j.techfore.2016.01.020

    Article  Google Scholar 

  30. TRAI: Performance Indicator Report (2019)

    Google Scholar 

  31. Yamakawa, P., et al.: The diffusion of mobile telephones: an empirical analysis for Peru. Telecommun. Policy 37(6–7), 594–606 (2013). https://doi.org/10.1016/j.telpol.2012.12.010

    Article  Google Scholar 

  32. Zargar, F.N., Kumar, D.: Heterogeneous market hypothesis approach for modeling unbiased extreme value volatility estimator in presence of leverage effect: an individual stock level study with economic significance analysis. Q. Rev. Econ. Finance 77, 271–285 (2020). https://doi.org/10.1016/J.QREF.2019.09.015

    Article  Google Scholar 

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Correspondence to Ashutosh Jha .

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Annexure A

Annexure A

Fig. 3.
figure 3

Source: Authors’ own representation

MCT generation evolution.

Table 2. Summary of various diffusion model parameters for VOLTE diffusion in Telecom Circles in India
Fig. 4.
figure 4

Source: BMI International database

Comparison of 4G subscribers of the incumbent MNOs (combined) and Reliance Jio, in India.

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Jha, A. (2024). Exploring the Early Diffusion of Next Generation Mobile Communication Technology: Insights from an Emerging Economy. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Lal, B., Elbanna, A. (eds) Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. TDIT 2023. IFIP Advances in Information and Communication Technology, vol 698. Springer, Cham. https://doi.org/10.1007/978-3-031-50192-0_28

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  • DOI: https://doi.org/10.1007/978-3-031-50192-0_28

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