Pengaruh Push, Pull, dan Mooring terhadap Switching Intention pada Konsumen Pengguna Wifi di Era Pandemi Covid-19




mooring effect, pull effect, push effect, switching intention, wifi


Internet use during the current pandemic is increasing, and most are done online. Work From Home (WFH) and School From Home (SFH) require stable and smooth internet. In addition to the internet, smartphones also play an essential role in people's daily lives during restrictions due to the pandemic. This study aims to analyze and discuss the effect of push, pull and mooring on switching intention. This study uses a push-pull-mooring model with an approach through switching intention. Respondents in this study were at least 20 years old. Due to this age, respondents have entered the adult stage in switching intentions from internet data packages to wifi. The sample used is 110 respondents—the sampling method used non-probability sampling with the judgmental sampling method. The analysis technique uses multiple linear regression with SPSS26 software. Based on the results obtained, it is known that the push variable on switching intention to use wifi has a positive effect. The pull variable has a positive impact on switching intention to use wifi. When the push and pull are getting stronger, consumers will switch. Mooring variable does not affect internet data packet switching intention to private wifi. This result shows that the switching intention of data packets to use wifi privately at home is relatively high. Due to using private wifi, you can access or surf the internet at a stable speed compared to data packet internet, in contrast to using data packet internet whose network is unstable.

References (2020). Riset: Permintaan Layanan Internet Meningkat Saat Pandemi. Akurat.Co. ( diakses pada 15 Juli 2021)

Bansal, H. S., Taylor, S. F., & James, Y. S. (2005). “Migrating” to new service providers: Toward a unifying framework of consumers’ switching behaviors. Journal of the Academy of Marketing Science, 33(1), 96–115.

Bogue, D. J. (1969). Principles of demography. New York: John Wiley.

Bolye, P.J. and Halfacree, K. (1998). Migration and Gender in the Developed World. New York: Longman Press.

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.

Chiu, H. C., Hsieh, Y. C., Roan, J., Tseng, K. J., & Hsieh, J. K. (2011). The challenge for multichannel services: Cross-channel free-riding behavior. Electronic Commerce Research and Applications, 10(2), 268–277. (2020). Orang Indonesia Habiskan Hampir 8 Jam untuk Berinternet. Databooks.Katadata.Co.Id. ( diakses pada 20 Juli 2021)

Djkn.kemenkeu. (2020). WFH di Tengah Pandemi COVID-19. Djkn.Kemenkeu. ( diakses pada 15 Juli 2021) (2020). FAQ Seputar Ketenagakerjaan Terkait Pandemi COVID-19. Gajimu.Com. ( diakses pada 15 Juli 2021)

Ganesh, J., Arnold, M. J., & Reynolds, K. E. (2000). Understanding the customer base of service providers: An examination of the differences between switchers and stayers. Journal of Marketing, 64(3), 65–87. (2019). perbedaan-koneksi-wifi-data-seluler-pada-smartphone. Gizmologi.Id. ( diakses pada 15 Juli 2021)

Hou, A. C. Y., Chern, C. C., Chen, H. G., & Chen, Y. C. (2009). Using demographic migration theory to explore why people switch between online games. Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS, 1–9.

Hou, A. C. Y., Chern, C. C., Chen, H. G., & Chen, Y. C. (2011). “Migrating to a new virtual world”: Exploring MMORPG switching through human migration theory. Computers in Human Behavior, 27(5), 1892–1903.

Hsieh, J. K., Hsieh, Y. C., Chiu, H. C., & Feng, Y. C. (2012). Post-adoption switching behavior for online service substitutes: A perspective of the push-pull-mooring framework. Computers in Human Behavior, 28(5), 1912–1920.

Jasmine, C. A. (2020). Impacts of Covid-19 on Company and Efforts to Support Organization Adaptable. SSRN Electronic Journal, April.

Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2000). Switching barriers and repurchase intentions in services. Journal of Retailing, 76(2), 259–274.

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.

Keaveney, S. M. (1995). Customer Switching Behavior in Service Industries: An Exploratory Study. Journal of Marketing, 59(2), 71.

Kim, M. K., Park, M. C., & Jeong, D. H. (2004). The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services. Telecommunications Policy, 28(2), 145–159.

Lai, F., Griffin, M., & Babin, B. J. (2009). How quality, value, image, and satisfaction create loyalty at a Chinese telecom. Journal of Business Research, 62(10), 980–986.

Lai, J. Y., Debbarma, S., & Ulhas, K. R. (2012). An empirical study of consumer switching behaviour towards mobile shopping: A Push-Pull-Mooring model. International Journal of Mobile Communications, 10(4), 386–404.

Malhotra, N. . (2009). Riset Pemasaran. Jakarta: PT. Indeks.

Mcalister, L. (2012). Variety-Seeking Substitute Identify Relationships Complementary to Competing Products. Journal of Marketing, 22(3), 330–339.

Moon, B. (1995). Paradigms in migration research: Exploring ‘moorings’ as a schema. Progress in Human Geography, 19(4), 504–524. (2021). wfh-bikin-pelanggan-wifi-republic-meningkat-drastis. Newssetup.Kontan.Co.Id. ( diakses pada 15 Juli 2021)

Pangestu, L., & Sanaji, S. (2020). Customer value migration pada platform bermain online games. KINERJA, 17(2), 215-221.

Parthasarathy, M., & Keaveney, S. M. (2001). Customer Switching Behavior in Online Services: An Exploratory Study of the Role of Selected Attitudinal, Behavioral, and Demographic Factors. Journal of the Academy of Marketing Science, 29(4), 374–390.

Purwanto, A., Asbari, M., Fahlevi, M., Mufid, A., Agistiawati, E., Cahyono, Y., & Suryani, P. (2020). Impact of Work From Home (WFH) on Indonesian Teachers Performance During the Covid-19 Pandemic : An Exploratory Study. International Journal of Advanced Science and Technology, 29(5), 6235–6244.

Putri, A. V., & Irwansyah, I. (2020). Communication Patterns and Media Technology Role in Organization and Society During Pandemic. The Journal of Society and Media, 4(2), 228-261. (2017). Why social shopping is the next big thing for mobile. Retail ( diakses pada 18 Juli 2021

Thaichon, P., Lobo, A., Prentice, C., & Quach, T. N. (2014). The development of service quality dimensions for internet service providers: Retaining customers of different usage patterns. Journal of Retailing and Consumer Services, 21(6), 1047–1058.

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.

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.

Zengyan, C., Yinping, Y., & Lim, J. (2009). Cyber migration: An empirical investigation on factors that affect users? Switch intentions in social networking sites. Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS, 1–11.

Zhao, Y. L., & Di Benedetto, C. A. (2013). Designing service quality to survive: Empirical evidence from Chinese new ventures. Journal of Business Research, 66(8), 1098–1107.




How to Cite

Sugandha, A. P., & Indarwati, T. A. (2021). Pengaruh Push, Pull, dan Mooring terhadap Switching Intention pada Konsumen Pengguna Wifi di Era Pandemi Covid-19. Jurnal Ilmu Manajemen, 9(4), 1537–1548.



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