Modeling Consumer’s Switching Intentions Regarding 5G Technology in China

Zhongjun Tang (), Sayed Kifayat Shah, Mohammad Ahmad () and Sohaib Mustafa ()
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Zhongjun Tang: College of Economics and Management, Beijing University of Technology, Beijing, China
Sayed Kifayat Shah: College of Economics and Management, Beijing University of Technology, Beijing, China
Mohammad Ahmad: ��College of Applied Science, Beijing University of Technology, Beijing, China
Sohaib Mustafa: College of Economics and Management, Beijing University of Technology, Beijing, China

International Journal of Innovation and Technology Management (IJITM), 2022, vol. 19, issue 04, 1-21

Abstract: Switching from current technology to disruptive technology entails advantages, sacrifices, and a variety of other considerations that are not encountered in the case of 5G technology. Therefore, this paper investigates consumers’ intention to shift to 5G in the light of disruptive technology innovation. An extended value-based adoption model (VAM) was used to examine the user’s switching intentions (SIs) from 4G (Existing) technology to 5G (Disruptive) technology. The proposed model was examined on data set from 361 Chinese users using the partial least squares-based structural equation modeling (PLS-SEM) technique. The outcomes illustrate the significant correlation between perceived switching benefits (PSBs) and perceived switching sacrifices (PSSs) on perceived sustainability values (SVs), which further impacts users’ SIs. Furthermore, the findings show that users perceived agility (PA) and absorptive capability (AC) moderates and encourages SIs. These findings have important implications for theory and practice. The outcomes of this research will be helpful to telecoms firms in developing consumer retention strategies. Some limitations and future research directions are also explored for scholars.

Keywords: Disruptive 5G technology; Value-based adoption model (VAM); Sustainability values (SVs); Absorptive capability (AC); Perceived agility (PA); Switching intentions (SIs) (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0219877022500110

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