Guo, Jin, Shan, Shan, Wang, Yu, Khan, Yousaf Ali and Wei, Chun (2021) Analyzing Chinese Customers’ Switching Intention of Smartphone Brands: Integrating the Push-Pull-Mooring Framework. Discrete Dynamics in Nature and Society, 2021. p. 16660340. ISSN 1026-0226
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Abstract
With increasing technology advancement, online shopping, and growth of affordable segment, smartphone users’ switching behavior is becoming a concern for smartphone companies. To fill the research gap that persists in relation to the switching behavior of smartphone users from a multidimensional view, this study integrates the push-pull-mooring model to investigate and classify factors that affect the switching behavior of smartphone users. To test the hypotheses in relation to different predictors, data were collected from a survey of 246 users of the top ten smartphone brands in China and analyzed using structural model equation through regression analyses. The results revealed that the pull, push, and mooring factors have a significant impact on the switching behavior of smartphone users. While the pull effects have a stronger impact than push effects, the mooring factors were found to have a significant and strongest effect on smartphone users’ switching behavior. In particular, subjective norm showed the greatest impact on switching behavior, product quality and obsolete features showed significant and weak impact while brand image, switching cost, and poor customer service did not show any significant impact. These findings provide useful implications and insights for smartphone brands to develop competitive strategies for customer relationship management.
Item Type: | Article |
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Additional Information: | Funding informaion: This research was supported by The Philosophy & Social Science Fund of Tianjin City, China (Grant no. TJYYQN19-004). The authors acknowledge the financial support. |
Subjects: | G900 Others in Mathematical and Computing Sciences P100 Information Services P900 Others in Mass Communications and Documentation |
Department: | Faculties > Business and Law > Newcastle Business School Faculties > Engineering and Environment > Computer and Information Sciences |
Depositing User: | Elena Carlaw |
Date Deposited: | 19 Mar 2021 11:38 |
Last Modified: | 31 Jul 2021 15:32 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/45740 |
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