NIAT BERALIH PENGGUNAAN SMARTPHONE: MENGINTEGRASIKAN KERANGKA KERJA DORONG-TARIK-TAMBAT
DOI:
https://doi.org/10.34127/jrlab.v13i3.1218Keywords:
Dissatisfaction, Low Quality, Alternative Attractiveness, Perceived Usefulness, Switching CostAbstract
This study empirically examines and analyzes the factors influencing the switching intention usage of Android smartphone to iOS smartphone. The research investigates three main categories: push factors, pull factors, and mooring factor. Push factors include dissatisfaction and low quality. Pull factors include alternative attractiveness and perceived usefulness. Mooring factor include switching costs. The research design employs an explanatory approach to determine one or more variables that explain the cause-and-effect relationship with other variables. Data was collected through a survey using Google Form with 123 respondents. Data analysis was conducted using SPSS software to analyze respondents characterstics and SmartPLS software to analyze the measurement model and structural model. The results show that push and pull factors positively and significantly affect switching intention. Switching costs moderate the influence of pull factors on switching intention of smartphone usage while, switching costs do not moderate the influence of push factors on switching intention of smartphone usage.
References
Adjie, E. A., Calista, N., Muhtadiin, R. R., Handayani, P. W., & Larasati, P. D. (2023). User switching intention from E-marketplace to E-pharmacy: The Influence of push, pull, and mooring factors. Informatics in Medicine Unlocked, 43(September), 101404. https://doi.org/10.1016/j.imu.2023.101404
Al-Banna, H., & Jannah, S. M. (2023). The push, pull, and mooring effects toward switching intention to halal cosmetic products. Journal of Islamic Marketing, 14(9), 2149–2166. https://doi.org/10.1108/JIMA-12-2021-0392
Anton, C. ., Camarero, C. . &, & Carrero, M. (2007). Analysing firms’ failures as determinants of consumer switching intentions: The effect of moderating factors. European Journal of Marketing, 41(1), 135–158.
Anwar, M. S. (2023). Pengaruh Kualitas Produk, Persepsi Harga, dan Citra Merek Terhadap Kepuasan Pelanggan. Jurnal Lentera Bisnis, 12(3), 808–823.
Apple Grabs the Top Spot in the Smartphone Market in 2023 along with Record High Market Share Despite the Overall Market Dropping 3.2%, According to IDC Tracker. (2024). International Data Corporation (IDC). https://www.idc.com/getdoc.jsp?containerId=prUS51776424
Baek, H. S. &, & Kim, G. G. (2018). A Study on Intention of Customers to Switch Brands under the Brand Crisis of Smart Phone: from the PPM Perspective. International Journal of Pure and Applied Mathematics, 120(6), 5853–5873.
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. https://doi.org/10.1177/0092070304267928
Bhattacherjee, A., & Park, S. C. (2014). Why end-users move to the cloud: A migration-theoretic analysis. European Journal of Information Systems, 23(3), 357–372. https://doi.org/10.1057/ejis.2013.1
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
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(4), 50–67.
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
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.
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
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(February 2018), 198–215. https://doi.org/10.1016/j.chb.2018.10.035
databoks. (2023). Volume Pengiriman Smartphone Global Berdasarkan Produsen (Kuartal IV-2023). Databoks. https://databoks.katadata.co.id/datapublish/2024/02/26/geser-oppo-samsungjadi-smartphone-terlaris-di-indonesia-pada-2023
Firdausi, A. S. M., & Dharmmesta, B. S. (2023). The effect of push, pull, and mooring factors on customers’ switching intention to green cosmetics. Gadjah Mada International Journal of Business, 25(3), 327–354.
Hair Jr, J. F., Black, W. C., Babin, B.J., &, & Anderson, R. E. (2014). Multivariate Data Analysis (Seventh). Prentice Hall.
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
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. https://doi.org/10.1016/j.chb.2012.05.010
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
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
Kim, G., Shin, B., & Lee, H. G. (2006). A study of factors that affect user intentions toward email service switching. Information and Management, 43(7), 884–893. https://doi.org/10.1016/j.im.2006.08.004
Kordi Ghasrodashti, E. (2018). Explaining brand switching behavior using pull-push-mooring theory and the theory of reasoned action. Journal of Brand Management, 25(4), 293–304. https://doi.org/10.1057/s41262-017-0080-2
Krishnan, G., & Raghuram, J. N. V. (2024). Exploring factors and contextual applications of the Push-Pull Mooring (PPM) framework in switching intention: A systematic literature review. Multidisciplinary Reviews, 7(1). https://doi.org/10.31893/multirev.2024003
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
Lee, E. S. (1966). A theory of migration. Demography, 3(1), 47–57. https://doi.org/10.2307/2060063
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
Lin, T. C., & Huang, S. L. (2014). Understanding the determinants of consumers’ switching intentions in a standards war. International Journal of Electronic Commerce, 19(1), 163–189. https://doi.org/10.2753/JEC1086-4415190105
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
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
Mulyati, V. & Hariyanto, D. (2021). Perception of students on the Apple smartphone as a lifestyle. Academia Open, 4.
Norbaiti, N. & Rahmi, W. S. (2020). Pengaruh kualitas produk dan citra merek terhadap keputusan pembelian smartphone Iphone di Banjarmasin. Jurnal Ilmu Sosial, Manajemen, Akuntansi Dan Bisnis, 1(2), 80–91.
Ping JR, R. A. (1993). The Effects of Satisfaction and Structural Constraints on Retailer Exciting, Voice, Loyality, Opportunism, and Neglect. Journal of Retailing, 69(3), 320–352.
Sharma, N. &, & Patterson, P. G. (2000). Switching costs, alternative attractiveness and experience as moderators of relationship commitment in professional consumer services. International Journal of Service Industry Management, 11(5), 470–490. http://www.emeraldinsight.com/Insight/viewContentItem.do?contentType=Article&hdAction=lnkhtml&contentId=851705&dType=SUB&history=false%5Cnfile:///Users/soumyaray/Dropbox/Work/Research/Papers2/Articles/International Journal of Service Industry Management/P
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
Susanty, A., Puspitasari, N. B., & Putera, B. R. (2020). Customer switching behaviour factors analysis in airline industry of low cost carrier and full service carrier. AIP Conference Proceedings.
Susanty, A., Puspitasari, N. B., & Putera, B. R. (2020). Customer switching behaviour factors analysis in airline industry of low cost carrier and full service carrier. AIP Conference Proceedings, 2217(April). https://doi.org/10.1063/5.0000815
Wang, X., Wong, Y. D., Liu, F., & Yuen, K. F. (2021). A push–pull–mooring view on technology-dependent shopping under social distancing: When technology needs meet health concerns. Technological Forecasting and Social Change, 173(September), 121109. https://doi.org/10.1016/j.techfore.2021.121109
We Are Social. (2024). Digital Indonesia 2024. We Are Social. https://wearesocial.com/id/blog/2024/01/digital-2024/
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
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
Ye, D., Liu, F., Cho, D., & Jia, Z. (2022). Investigating switching intention of e-commerce live streaming users. Heliyon, 8(10). https://doi.org/10.1016/j.heliyon.2022.e11145
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
Zhang, H., Lu, Y., Gupta, S., Zhao, L., Chen, A., &, & Huang, H. (2014). Understanding the antecedents of customer loyalty in the Chinese mobile service industry: a push– pull–mooring framework. International Journal of Mobile Communications, 12(6), 551–577.
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