• Abstract

    Abstract The paper aims to undertake a comprehensive systematic literature review to address research questions 1. What are the factors that come into play when Push Pull Mooring (PPM) framework is applied in switching intention over time? 2. How PPM on switching intention is applied in different contexts. The systematic review was conducted for all published literature in the English language from the SCOPUS database from 2012 to 2022. A pool of  551 articles was reduced to 46 articles, which is used for systematic review and the inclusion criteria was (i) Empirical research including keynote of Switching intention & PPM theory (ii) English Language, (iii) Genuine data aggregation using quantitative and qualitative method. After examining the collected data, the predominantly used variables were explored: Dissatisfaction in the push effect, switching Cost in the mooring effect, and alternative attractiveness in the pull effect. The theory of Planned behavior and technology Acceptance model is widely applied in the studies. This systematic review presents an overview of the PPM framework, including its future prospects and its relationship to switching intention. Within this field of study, there exist opportunities and areas that have yet to be explored. The outcomes of this systematic review will serve as a point of reference for future investigations concerning the connection between PPM and switching intention.

  • References

    1. Aarts, H., & Dijksterhuis, A. (2000). The automatic activation of goal-directed behaviour: The case of travel habit. Journal of Environmental Psychology, 20(1), 75–82. https://doi.org/10.1006/jevp.1999.0156
    2. Bansal, H. S., Taylor, S. F., & James, Y. S. (2005). "Migrating" to new service providers: Toward a unifying framework of consumers' switching behaviors. In Journal of the Academy of Marketing Science 33(1), pp. 96–115). https://doi.org/10.1177/0092070304267928
    3. Bogue, D. J. (1977). A Migrant's-Eye View of the Costs and Benefits of Migration to a Metropolis. In Internal Migration: A Comparative Perspective. In New York: Academic Press (pp. 167–182). Elsevier. https://doi.org/10.1016/b978-0-12-137350-4.50016-0
    4. Burnham, T. A., Frels, J. K., & Mahajan, V. (2003). Consumer switching costs: A typology, antecedents, and consequences. Journal of the Academy of Marketing Science, 31(2), 109–126. https://doi.org/10.1177/0092070302250897
    5. Cai, X., Cebollada, J., & Cortiñas, M. (2022). From traditional gaming to mobile gaming: Video game players' switching behaviour. Entertainment Computing, 40(xxxx). https://doi.org/10.1016/j.entcom.2021.100445
    6. Cao, J., Liu, F., Shang, M., & Zhou, X. (2021). Toward street vending in post COVID-19 China: Social networking services information overload and switching intention. Technology in Society, 66, 101669. https://doi.org/10.1016/j.techsoc.2021.101669
    7. Cao, X., Yao, J., & Chen, X. (2020). Exploring bloggers' switching toward microblogging. Internet Research, 30(6), 1811–1833. https://doi.org/10.1108/INTR-01-2019-0016
    8. Chang, H. H., Wong, K. H., & Li, S. Y. (2017). Applying push-pull-mooring to investigate channel switching behaviors: M-shopping self-efficacy and switching costs as moderators. Electronic Commerce Research and Applications, 24, 50–67. https://doi.org/10.1016/j.elerap.2017.06.002
    9. Chang, I. C., Liu, C. C., & Chen, K. (2014). The push, pull and mooring effects in virtual migration for social networking sites. Information Systems Journal, 24(4), 323–346. https://doi.org/10.1111/isj.12030
    10. Chang, Y. W., & Hsu, P. Y. (2019). An empirical investigation of organizations' switching intention to cloud enterprise resource planning: a cost-benefit perspective. Information Development, 35(2), 290–302. https://doi.org/10.1177/0266666917743287
    11. Chen, L., Yang, C., Jing, P., Zha, Q., Wang, X., & Wang, W. (2022). Are they willing to switch from non-driving to driving? An exploratory study among Chinese older people. In Transportation (Issue 301). Springer US. https://doi.org/10.1007/s11116-022-10274-z
    12. Chen, Y. H., & Keng, C. J. (2019). Utilizing the Push-Pull-Mooring-Habit framework to explore users' intention to switch from offline to online real-person English learning platform. Internet Research, 29(1), 167–193. https://doi.org/10.1108/IntR-09-2017-0343
    13. Cheng, S., Lee, S. J., & Choi, B. (2019). An empirical investigation of users' voluntary switching intention for mobile personal cloud storage services based on the push-pull-mooring framework. Computers in Human Behavior, 92, 198–215. https://doi.org/10.1016/j.chb.2018.10.035
    14. Chi, M., Wang, J., Luo, X. (Robert), & Li, H. (2021). Why travelers switch to the sharing accommodation platforms? A push-pull-mooring framework. International Journal of Contemporary Hospitality Management, 33(12), 4286–4310. https://doi.org/10.1108/IJCHM-02-2021-0253
    15. Colgate, M., & Hedge, R. (2001). An investigation into the switching process in retail banking services. International Journal of Bank Marketing, 19(5), 201–212. https://doi.org/10.1108/02652320110400888
    16. Edwards, J. R. (2001). Multidimensional Constructs in Organizational Behavior Research: An Integrative Analytical Framework. Organizational Research Methods, 4(2), 144–192. https://doi.org/10.1177/109442810142004
    17. Elsevier. (n.d.). elsevier. Retrieved May 20, 2022, from https://www.elsevier.com/en-in/solutions/scopus
    18. Fan, L., Zhang, X., Rai, L., & Du, Y. (2021). Mobile payment: The next frontier of payment systems? - an empirical study based on push-pull-mooring framework. Journal of Theoretical and Applied Electronic Commerce Research, 16(2), 155–169. https://doi.org/10.4067/S0718-18762021000200111
    19. Han, H., Kim, W., & Hyun, S. S. (2011a). Switching intention model development: Role of service performances, customer satisfaction, and switching barriers in the hotel industry. International Journal of Hospitality Management, 30(3), 619–629. https://doi.org/10.1016/j.ijhm.2010.11.006
    20. Han, H., Kim, W., & Hyun, S. S. (2011b). Switching intention model development: Role of service performances, customer satisfaction, and switching barriers in the hotel industry. International Journal of Hospitality Management, 30(3), 619–629. https://doi.org/10.1016/j.ijhm.2010.11.006
    21. Hati, S. R. H., Gayatri, G., & Indraswari, K. D. (2021). Migration (Hijra) to Islamic bank based on push–pull–mooring theory: a services marketing mix perspective. Journal of Islamic Marketing, 12(8), 1637–1662. https://doi.org/10.1108/JIMA-07-2019-0157
    22. Hazen, B. T., Mollenkopf, D. A., & Wang, Y. (2017). Remanufacturing for the Circular Economy: An Examination of Consumer Switching Behavior. Business Strategy and the Environment, 26(4), 451–464. https://doi.org/10.1002/bse.1929
    23. Hou, A. C. Y., & Shiau, W. L. (2020). Understanding Facebook to Instagram migration: a push-pull migration model perspective. Information Technology and People, 33(1), 272–295. https://doi.org/10.1108/ITP-06-2017-0198
    24. Hwang, H. S., Shim, J. W., & Park, S. B. (2019). Why we migrate in the virtual world: factors affecting switching intentions in SNS. Information Communication and Society, 22(14), 2127–2137. https://doi.org/10.1080/1369118X.2018.1477970
    25. Isibor, O. F., & Odia, E. O. (2021). Adherents' switching behavior: exploring the push-pull-mooring framework in the Christian religious market. In International Review on Public and Nonprofit Marketing, 18, Issue (1). International Review on Public and Nonprofit Marketing. https://doi.org/10.1007/s12208-020-00261-4
    26. Jin, Y. Q., Lin, C. L., Zhao, Q., Yu, S. W., & Su, Y. S. (2021). A Study on Traditional Teaching Method Transferring to E-Learning Under the Covid-19 Pandemic: From Chinese Students' Perspectives. Frontiers in Psychology, 12(March), 1–14. https://doi.org/10.3389/fpsyg.2021.632787
    27. Jung, J., Han, H., & Oh, M. (2017). Travelers' switching behavior in the airline industry from the perspective of the push-pull-mooring framework. Tourism Management, 59, 139–153. https://doi.org/10.1016/j.tourman.2016.07.018
    28. Kim, S., Choi, M. J., & Choi, J. S. (2020). Empirical study on the factors affecting individuals' switching intention to augmented/virtual reality content services based on push-pull-mooring theory. Information (Switzerland), 11(1). https://doi.org/10.3390/info11010025
    29. Kuo, R. Z. (2020). Why do people switch mobile payment service platforms? An empirical study in Taiwan. Technology in Society, 62(March), 101312. https://doi.org/10.1016/j.techsoc.2020.101312
    30. Lai, J. Y., & Wang, J. (2015). Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: An exploratory study. Technological Forecasting and Social Change, 92, 155–167. https://doi.org/10.1016/j.techfore.2014.06.004
    31. Lee, E. S. (1966). A Theory of Migration. In Demography, 3, (1).
    32. Li, C. Y. (2018). Consumer behavior in switching between membership cards and mobile applications: The case of Starbucks. Computers in Human Behavior, 84, 171–184. https://doi.org/10.1016/j.chb.2017.12.042
    33. Li, C. Y., & Ku, Y. C. (2018). The power of a thumbs-up: Will e-commerce switch to social commerce? Information and Management, 55(3), 340–357. https://doi.org/10.1016/j.im.2017.09.001
    34. Liao, J., Li, M., Wei, H., & Tong, Z. (2020). Antecedents of smartphone brand switching: a push–pull–mooring framework. Asia Pacific Journal of Marketing and Logistics, 33(7), 1596–1614. https://doi.org/10.1108/APJML-06-2020-0397
    35. Liao, Y. W., Huang, Y. M., Huang, S. H., Chen, H. C., & Wei, C. W. (2019). Exploring the switching intention of learners on social network-based learning platforms: A perspective of the push-pull-mooring model. Eurasia Journal of Mathematics, Science and Technology Education, 15(9). https://doi.org/10.29333/ejmste/108483
    36. Lin, C. F., Fu, C. S., & Chi, T. H. (2020). Constructing a hybrid hierarchical value map to understand young people's perceptions of social networking sites. Behaviour and Information Technology, 39(2), 150–166. https://doi.org/10.1080/0144929X.2019.1589576
    37. Lin, C. L., Jin, Y. Q., Zhao, Q., Yu, S. W., & Su, Y. S. (2021). Factors Influence Students' Switching Behavior to Online Learning under COVID-19 Pandemic: A Push–Pull–Mooring Model Perspective. Asia-Pacific Education Researcher, 30(3), 229–245. https://doi.org/10.1007/s40299-021-00570-0
    38. Lin, X., Chien, S. W., Hung, C. W., Chen, S. C., & Ruangkanjanases, A. (2021). The Impact of Switching Intention of Telelearning in COVID-19 Epidemic's Era: The Perspective of Push-Pull-Mooring Theory. Frontiers in Psychology, 12(July), 1–14. https://doi.org/10.3389/fpsyg.2021.639589
    39. Lin, X., & Wu, R. Z. (2021). An Empirical Study on the Dairy Product Consumers' Intention to Adopt the Food Traceability's Technology: Push-Pull-Mooring Model Integrated by D&M ISS Model and TPB With ITM. Frontiers in Psychology, 11(April 2020). https://doi.org/10.3389/fpsyg.2020.612889
    40. Loh, X. M., Lee, V. H., Tan, G. W. H., Ooi, K. B., & Dwivedi, Y. K. (2021). Switching from cash to mobile payment: what's the hold-up? Internet Research, 31(1), 376–399. https://doi.org/10.1108/INTR-04-2020-0175
    41. Lu, H. P., & Wung, Y. S. (2021). Applying transaction cost theory and push-pull-mooring model to investigate mobile payment switching behaviors with well-established traditional financial infrastructure. Journal of Theoretical and Applied Electronic Commerce Research, 16(2), 1–21. https://doi.org/10.4067/S0718-18762021000200102
    42. Mittal, V., & Kamakura, W. A. (2001). Satisfaction, Repurchase Intent, and Repurchase Behavior: Investigating the Moderating Effect of Customer Characteristics. In Source: Journal of Marketing Research,38(1). http://www.jstor.orgURL:http://www.jstor.org/stable/1558577Accessed:01-05-201507:49UTC
    43. Moon, B. (1989). Paradigms in migration research: exploring "moorings" as a schema. Progress in Human Geography, 504–524.
    44. Mu, H. L., & Lee, Y. C. (2021). How inclusive digital financial services impact user behavior: A case of proximity mobile payment in korea. Sustainability (Switzerland), 13(17), 1–23. https://doi.org/10.3390/su13179567
    45. Nguyen, T. H. N., Yeh, Q. J., & Huang, C. Y. (2022). Understanding consumer' switching intention toward traceable agricultural products: Push-pull-mooring perspective. International Journal of Consumer Studies, 46(3), 870–888. https://doi.org/10.1111/ijcs.12733
    46. Nimako, S. G., & Ntim, B. A. (2013). Construct Specification and Misspecification within the Application of Push-Pull-Mooring Theory of Switching Behaviour. Journal of Business and Management Sciences, 1(5), 83–95. https://doi.org/10.12691/jbms-1-5-2
    47. Quoquab, F., Mohammad, J., Yasin, N. M., & Abdullah, N. L. (2018). Antecedents of switching intention in the mobile telecommunications industry: A partial least square approach. Asia Pacific Journal of Marketing and Logistics, 30(4), 1087–1111. https://doi.org/10.1108/APJML-06-2017-0121
    48. Radhamani, R., Kumar, D., Nizar, N., Achuthan, K., Nair, B., & Diwakar, S. (2021). What virtual laboratory usage tells us about laboratory skill education pre- and post-COVID-19: Focus on usage, behavior, intention and adoption. Education and Information Technologies, 26(6), 7477–7495. https://doi.org/10.1007/s10639-021-10583-3
    49. Sajjad, A., Asmi, F., Chu, J., & Anwar, M. A. (2020). Environmental concerns and switching toward electric vehicles: geographic and institutional perspectives. Environmental Science and Pollution Research, 27(32), 39774–39785. https://doi.org/10.1007/s11356-020-08311-4
    50. Sajjad, A., Chu, J., Anwar, M. A., & Asmi, F. (2020). Between green and gray: Smog risk and rationale behind vehicle switching. Journal of Cleaner Production, 244, 118674. https://doi.org/10.1016/j.jclepro.2019.118674
    51. Suh, C. J., & Kim, J. H. (2018). Buyers' switching intentions in a manufacturing supply chain: a migration theory perspective. International Journal of Operations and Production Management, 38(12), 2246–2265. https://doi.org/10.1108/IJOPM-02-2017-0118
    52. Sun, Y., Liu, D., Chen, S., Wu, X., Shen, X. L., & Zhang, X. (2017). Understanding users' switching behavior of mobile instant messaging applications: An empirical study from the perspective of push-pull-mooring framework. Computers in Human Behavior, 75, 727–738. https://doi.org/10.1016/j.chb.2017.06.014
    53. Tang, D., Yang, Y., Yan, Y., & Zhou, M. (2016). What determines online consumers to migrate from PCs to mobile devices? - An empirical approach on consumers' internet cross-channel behaviours. International Journal of Services, Technology and Management, 22(1–2), 46–62. https://doi.org/10.1504/IJSTM.2016.077656
    54. Wu, K., Vassileva, J., & Zhao, Y. (2017). Understanding users' intention to switch personal cloud storage services: Evidence from the Chinese market. Computers in Human Behavior, 68, 300–314. https://doi.org/10.1016/j.chb.2016.11.039
    55. Xu, Y. C., Yang, Y., Cheng, Z., & Lim, J. (2014). Retaining and attracting users in social networking services: An empirical investigation of cyber migration. Journal of Strategic Information Systems, 23(3), 239–253. https://doi.org/10.1016/j.jsis.2014.03.002
    56. Yan, R., Zhang, K. Z. K., & Yu, Y. (2019). Switching from hotels to peer-to-peer accommodation: an empirical study. Information Technology and People, 32(6), 1657–1678. https://doi.org/10.1108/ITP-12-2017-0444
    57. Ye, C., & Potter, R. (2011). The role of habit in post-adoption switching of personal information technologies: An empirical investigation. Communications of the Association for Information Systems, 28(1), 585–610. https://doi.org/10.17705/1cais.02835
    58. Ye, Q., Zhou, R., Anwar, M. A., Siddiquei, A. N., & Asmi, F. (2020). Entrepreneurs and environmental sustainability in the digital era: Regional and institutional perspectives. International Journal of Environmental Research and Public Health, 17(4). https://doi.org/10.3390/ijerph17041355
    59. Yoon, C., & Lim, D. (2021). Customers' intentions to switch to internet-only banks: Perspective of the push-pull-mooring model. Sustainability (Switzerland), 13(14). https://doi.org/10.3390/su13148062
    60. Yusfiarto, R., Sunarsih, S., & Darmawan, D. (2021). Understanding Muslim's switching from cash to m-payments: based on push-pull-mooring framework. Journal of Islamic Marketing. https://doi.org/10.1108/JIMA-05-2021-0135
    61. Zeng, Z., Li, S., Lian, J. W., Li, J., Chen, T., & Li, Y. (2021). Switching behavior in the adoption of a land information system in China: A perspective of the push–pull–mooring framework. Land Use Policy, 109(March 2020), 105629. https://doi.org/10.1016/j.landusepol.2021.105629
    62. Zhang, K., Cheung, C. M., Kong, H., Lee, M. K. O., Zhang, K. Z. K., & Cheung, C. M. K. (n.d.). Online Service Switching Behavior: The Case of Blog Service Providers Dark Side of ICT Use View project Electronic Commerce View project online service switching behavior: the case of blog service providers.
    63. Zhou, T. (2016). Examining user switch between mobile stores: A push-pull-mooring perspective. Information Resources Management Journal, 29(2), 1–13. https://doi.org/10.4018/IRMJ.2016040101

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Krishnan, G., & Raghuram, J. N. V. (2023). Exploring factors and contextual applications of the Push-Pull Mooring (PPM) framework in switching intention: A systematic literature review. Multidisciplinary Reviews, 7(1), 2024003. https://doi.org/10.31893/multirev.2024003
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