Niat Menggunakan Aplikasi TikTok: Faktor-faktor Dominan Apa Yang Mempengaruhi?
Keywords:
intention, perceived risk, perceived enjoyment, perceived ease of use, satisfaction, personal innovativeness, TikTokAbstract
The goal of this study is to test the factors that influence the intention to use TikTok. There are six variables that used to measure, namely personal innovativenes, perceived ease of use, perceived risk, satisfaction, perceived enjoyment, and intention to use TikTok. Data collection was conducted during the three months from November 2020 to January 2021 using an online questionnaire. The study had 212 respondents consisting of 45 men (21.2%) and 167 women (78.8%). Exploratory factor analysis and structural equation model was used to process data. The results of this study are show that personal innovativeness has significant effect on perceived ease of use, perceived risk has no significant effect on perceived ease of use, perceived ease of use has significant effect on satisfaction, perceived ease of use has significant effect on perceived enjoyment, personal innovativeness has significant effect on intention to use TikTok, satisfaction has no significant effect on intention to use TikTok, perceived ease of use has significant effect on intention to use TikTok, perceived enjoyment has no significant effect on intention to use TikTok, and perceived risk has no significant effect on intention to use TikTok.
References
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Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215.
Akar, S. G. M. (2019). Does it matter being innovative: Teachers’ technology acceptance. Education and Information Technologies, 24(6), 3415–3432.
Albaity, M., & Rahman, M. (2019). The intention to use Islamic banking: An exploratory study to measure Islamic financial literacy. International Journal of Emerging Markets, 14(5), 988–1012.
Almahamid, S., Mcadams, A. C., Al Kalaldeh, T., & MO’TAZ, A.-S. (2010). The relationship between perceived usefulness, perceived ease of use, perceived information quality, and intention to use e-government. Journal of Theoretical & Applied Information Technology, 11(1), 30–44.
Arsanti, T. A., & Yuliasari, E. (2018). Personal factors as predictors of intention to use it. Jurnal Manajemen Dan Kewirausahaan, 20(2), 129–136.
Ashfaq, M., Yun, J., Waheed, A., Khan, M. S., & Farrukh, M. (2019). Customers’ expectation, satisfaction, and repurchase intention of used products online: Empirical evidence from China. SAGE Open, 9(2), 1–14.
Belanche, D., Casaló, L. V, & Guinalíu, M. (2012). Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk. Journal of Retailing and Consumer Services, 19(1), 124–132.
Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10(JULY), 1–14. https://doi.org/10.3389/fpsyg.2019.01652
Cheng, Y.-M. (2014). Exploring the intention to use mobile learning: The moderating role of personal innovativeness. Journal of Systems and Information Technology, 16(1), 40–61.
Chesney, T. (2006). An acceptance model for useful and fun information systems. Human Technology: An Interdisciplinary Journal on Humans in ICT Environments, 2(2), 225–235.
Chihui, C. (2009). Perceived innovativeness, perceived convenience and TAM: Effects on mobile knowledge management. 2009 Third International Conference on Multimedia and Ubiquitous Engineering, 413–420.
Cohen, L., Manion, L., & Marrison, K. (2007). Research in education sixth edition. Newyork: Routledge.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132.
Dawi, N. M., Jusoh, A., Streimikis, J., & Mardani, A. (2018). The influence of service quality on customer satisfaction and customer behavioral intentions by moderating role of switching barriers in satellite pay TV market. Economics and Sociology, 11(4), 198–218. https://doi.org/10.14254/2071-789X.2018/11-4/13
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Ferdinand, A. (2002). Structural Equation Modelling (SEM) dalam penelitian manajemen. Badan Penerbit UNDIP, Semarang, 246.
Fred DDavis, F. D. (1989). D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211–231.
Harrison, R., Flood, D., & Duce, D. (2013). Usability of mobile applications: Literature review and rationale for a new usability model. Journal of Interaction Science, 1(1), 1.
Hoehle, H., Zhang, X., & Venkatesh, V. (2015). An espoused cultural perspective to understand continued intention to use mobile applications: A four-country study of mobile social media application usability. European Journal of Information Systems, 24(3), 337–359.
Hong, H., Cao, M., & Wang, G. A. (2017). The effects of network externalities and herding on user satisfaction with mobile social apps. Journal of Electronic Commerce Research, 18(1), 18–31.
Husain, T. (2019). An analysis of modeling audit quality measurement based on decision support systems (DSS). European Journal of Scientific Exploration, 2(6), 1–9.
Indarsin, T., & Ali, H. (2017). Attitude toward using m-commerce: The analysis of perceived usefulness perceived ease of use, and perceived trust: Case study in ikens wholesale trade, Jakarta–Indonesia. Saudi Journal of Business and Management Studies, 2(11), 995–1007.
Iriani, S. S., & Andjarwati, A. L. (2020). Analysis of perceived usefulness, perceived ease of use, and perceived risk toward online shopping in the era of covid-19 pandemic. Systematic Reviews in Pharmacy, 11(12), 313–320.
Jackson, J. D., Mun, Y. Y., & Park, J. S. (2013). An empirical test of three mediation models for the relationship between personal innovativeness and user acceptance of technology. Information & Management, 50(4), 154–161.
Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. ACR Special Volumes, 382–393.
Jogiyanto, H. M. (2007). Sistem informasi keperilakuan. Yogyakarta: Andi Offset.
Kanchanatanee, K., Suwanno, N., & Jarernvongrayab, A. (2014). Effects of attitude toward using, perceived usefulness, perceived ease of use and perceived compatibility on intention to use E-marketing. Journal of Management Research, 6(3), 1–13.
Kim, E. B., & Eom, S. B. (2002). Designing effective cyber store user interface. Industrial Management & Data Systems, 102(5), 241–251.
Kim, Y. H., Kim, D. J., & Wachter, K. (2013). A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention. Decision Support Systems, 56, 361–370.
Kumar, A., Dhingra, S., Batra, V., & Purohit, H. (2020). A framework of mobile banking adoption in India. Journal of Open Innovation: Technology, Market, and Complexity, 6(2), 40.
Kusuma, D. N. S. C., & Oktavianti, R. (2020). Penggunaan aplikasi media sosial berbasis audio visual dalam membentuk konsep diri: Studi kasus aplikasi tiktok. Koneksi, 4(2), 372–379.
Lee, D., Moon, J., Kim, Y. J., & Mun, Y. Y. (2015). Antecedents and consequences of mobile phone usability: Linking simplicity and interactivity to satisfaction, trust, and brand loyalty. Information & Management, 52(3), 295–304.
Liébana-Cabanillas, F., García-Maroto, I., Muñoz-Leiva, F., & Ramos-de-Luna, I. (2020). Mobile payment adoption in the age of digital transformation: The case of Apple Pay. Sustainability, 12(13), 5443.
Lu, H., Hsu, C., & Hsu, H. (2005). An empirical study of the effect of perceived risk upon intention to use online applications. Information Management & Computer Security, 13(2), 106–120.
Lu, J. (2014). Are personal innovativeness and social influence critical to continue with mobile commerce? Internet Research, 24(2), 134–159.
Lu, J., Yao, J. E., & Yu, C.-S. (2005). Personal innovativeness, social influences and adoption of wireless internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245–268.
Moghavvemi, S., Sharabati, M., Paramanathan, T., & Rahin, N. M. (2017). The impact of perceived enjoyment, perceived reciprocal benefits and knowledge power on students’ knowledge sharing through Facebook. The International Journal of Management Education, 15(1), 1–12.
Nguyen, T. D., & Nguyen, T. C. H. (2017). The role of perceived risk on intention to use online banking in Vietnam. 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 1903–1908.
Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of the Academy of Marketing Science, 33(3), 330–346.
Ohk, K., Park, S.-B., & Hong, J.-W. (2015). The influence of perceived usefulness, perceived ease of use, interactivity, and ease of navigation on satisfaction in mobile application. Advanced Science and Technology Letters, 84(2015), 88–92.
Özer, A., Argan, M. T., & Argan, M. (2013). The effect of mobile service quality dimensions on customer satisfaction. Procedia - Social and Behavioral Sciences, 99, 428–438. https://doi.org/10.1016/j.sbspro.2013.10.511
Pamungkas, R. T., & Djulaeka, D. (2019). Perlindungan hukum pemegang hak cipta atas lagu yang diunggah pada aplikasi tiktok. Simposium Hukum Indonesia, 1(1), 394–413.
Park, J., Amendah, E., Lee, Y., & Hyun, H. (2019). M‐payment service: Interplay of perceived risk, benefit, and trust in service adoption. Human Factors and Ergonomics in Manufacturing & Service Industries, 29(1), 31–43.
Praveena, K., & Thomas, S. (2014). Continuance intention to use Facebook: A study of perceived enjoyment and TAM. Bonfring International Journal of Industrial Engineering and Management Science, 4(1), 24–29.
Rahmadi, H., & Malik, D. (2016). Pengaruh kepercayaan dan persepsi risiko terhadap keputusan pembelian e-commerce pada tokopedia. com di Jakarta Pusat. Jurnal Reformasi Administrasi: Jurnal Ilmiah Untuk Mewujudkan Masyarakat Madani, 3(1), 126–145.
Ramayah, T. (2006). Interface characteristics, perceived ease of use and intention to use an online library in Malaysia. Information Development, 22(2), 123–133.
Roy, S. K., Kesharwani, A., & Bisht, S. S. (2012). The impact of trust and perceived risk on internet banking adoption in India. International Journal of Bank Marketing, 30(4), 303–322.
Setiawan, J. J. (2020). Pengaruh perceived usefulness, perceived ease of use, subjective norm, dan customer experience terhadap intention to use my telkomsel: Studi kasus pada mahasiswa Universitas Kristen Petra Surabaya. Jurnal Strategi Pemasaran, 7(1), 12.
Su, Y., Baker, B. J., Doyle, J. P., & Yan, M. (2020). Fan engagement in 15 seconds: Athletes’ relationship marketing during a pandemic via TikTok. International Journal of Sport Communication, 13(3), 436–446.
Syed-Abdul, S., Malwade, S., Nursetyo, A. A., Sood, M., Bhatia, M., Barsasella, D., Liu, M. F., Chang, C.-C., Srinivasan, K., & Raja, M. (2019). Virtual reality among the elderly: A usefulness and acceptance study from Taiwan. BMC Geriatrics, 19(1), 223.
Tanamal, R. (2017). Analisis faktor yang paling berpengaruh pada keinginan menggunakan applikasi grab di kota surabaya. 1(2), 121–130.
Teo, T., & Noyes, J. (2011). An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach. Computers & Education, 57(2), 1645–1653.
Thakur, Rakhi, & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369–392.
Thakur, Ramendra, Angriawan, A., & Summey, J. H. (2016). Technological opinion leadership: The role of personal innovativeness, gadget love, and technological innovativeness. Journal of Business Research, 69(8), 2764–2773.
Tu, C.-C., Fang, K., & Lin, C.-Y. (2012). Perceived ease of use, trust, and satisfaction as determinants of loyalty in e-auction marketplace. Journal of Computer, 7(3), 645–652.
Tussyadiah, I. P. (2016). Factors of satisfaction and intention to use peer-to-peer accommodation. International Journal of Hospitality Management, 55(2016), 70–80. https://doi.org/10.1016/j.ijhm.2016.03.005
Wahyuningtyas, Y. F., & Widiastuti, D. A. (2017). Analisis pengaruh persepsi risiko, kemudahan dan manfaat terhadap keputusan pembelian secara online : Studi kasus pada konsumen barang fashion di facebook. Kajian Bisnis STIE Widya Wiwaha, 23(2), 112–120. https://doi.org/10.32477/jkb.v23i2.208
Zhang, Y., Sun, J., Yang, Z., & Wang, Y. (2018). What makes people actually embrace or shun mobile payment: A cross-culture study. Mobile Information Systems, 2018, 1–13.
Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215.
Akar, S. G. M. (2019). Does it matter being innovative: Teachers’ technology acceptance. Education and Information Technologies, 24(6), 3415–3432.
Albaity, M., & Rahman, M. (2019). The intention to use Islamic banking: An exploratory study to measure Islamic financial literacy. International Journal of Emerging Markets, 14(5), 988–1012.
Almahamid, S., Mcadams, A. C., Al Kalaldeh, T., & MO’TAZ, A.-S. (2010). The relationship between perceived usefulness, perceived ease of use, perceived information quality, and intention to use e-government. Journal of Theoretical & Applied Information Technology, 11(1), 30–44.
Arsanti, T. A., & Yuliasari, E. (2018). Personal factors as predictors of intention to use it. Jurnal Manajemen Dan Kewirausahaan, 20(2), 129–136.
Ashfaq, M., Yun, J., Waheed, A., Khan, M. S., & Farrukh, M. (2019). Customers’ expectation, satisfaction, and repurchase intention of used products online: Empirical evidence from China. SAGE Open, 9(2), 1–14.
Belanche, D., Casaló, L. V, & Guinalíu, M. (2012). Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk. Journal of Retailing and Consumer Services, 19(1), 124–132.
Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10(JULY), 1–14. https://doi.org/10.3389/fpsyg.2019.01652
Cheng, Y.-M. (2014). Exploring the intention to use mobile learning: The moderating role of personal innovativeness. Journal of Systems and Information Technology, 16(1), 40–61.
Chesney, T. (2006). An acceptance model for useful and fun information systems. Human Technology: An Interdisciplinary Journal on Humans in ICT Environments, 2(2), 225–235.
Chihui, C. (2009). Perceived innovativeness, perceived convenience and TAM: Effects on mobile knowledge management. 2009 Third International Conference on Multimedia and Ubiquitous Engineering, 413–420.
Cohen, L., Manion, L., & Marrison, K. (2007). Research in education sixth edition. Newyork: Routledge.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132.
Dawi, N. M., Jusoh, A., Streimikis, J., & Mardani, A. (2018). The influence of service quality on customer satisfaction and customer behavioral intentions by moderating role of switching barriers in satellite pay TV market. Economics and Sociology, 11(4), 198–218. https://doi.org/10.14254/2071-789X.2018/11-4/13
Elson, A. K. (2020, January). Getting acquainted with social networks and apps: It is time to talk about TikTok. Library Hi Tech News, 37(4), 7–12. https://doi.org/10.1108/LHTN-01-2020-0001
Ferdinand, A. (2002). Structural Equation Modelling (SEM) dalam penelitian manajemen. Badan Penerbit UNDIP, Semarang, 246.
Fred DDavis, F. D. (1989). D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211–231.
Harrison, R., Flood, D., & Duce, D. (2013). Usability of mobile applications: Literature review and rationale for a new usability model. Journal of Interaction Science, 1(1), 1.
Hoehle, H., Zhang, X., & Venkatesh, V. (2015). An espoused cultural perspective to understand continued intention to use mobile applications: A four-country study of mobile social media application usability. European Journal of Information Systems, 24(3), 337–359.
Hong, H., Cao, M., & Wang, G. A. (2017). The effects of network externalities and herding on user satisfaction with mobile social apps. Journal of Electronic Commerce Research, 18(1), 18–31.
Husain, T. (2019). An analysis of modeling audit quality measurement based on decision support systems (DSS). European Journal of Scientific Exploration, 2(6), 1–9.
Indarsin, T., & Ali, H. (2017). Attitude toward using m-commerce: The analysis of perceived usefulness perceived ease of use, and perceived trust: Case study in ikens wholesale trade, Jakarta–Indonesia. Saudi Journal of Business and Management Studies, 2(11), 995–1007.
Iriani, S. S., & Andjarwati, A. L. (2020). Analysis of perceived usefulness, perceived ease of use, and perceived risk toward online shopping in the era of covid-19 pandemic. Systematic Reviews in Pharmacy, 11(12), 313–320.
Jackson, J. D., Mun, Y. Y., & Park, J. S. (2013). An empirical test of three mediation models for the relationship between personal innovativeness and user acceptance of technology. Information & Management, 50(4), 154–161.
Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. ACR Special Volumes, 382–393.
Jogiyanto, H. M. (2007). Sistem informasi keperilakuan. Yogyakarta: Andi Offset.
Kanchanatanee, K., Suwanno, N., & Jarernvongrayab, A. (2014). Effects of attitude toward using, perceived usefulness, perceived ease of use and perceived compatibility on intention to use E-marketing. Journal of Management Research, 6(3), 1–13.
Kim, E. B., & Eom, S. B. (2002). Designing effective cyber store user interface. Industrial Management & Data Systems, 102(5), 241–251.
Kim, Y. H., Kim, D. J., & Wachter, K. (2013). A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention. Decision Support Systems, 56, 361–370.
Kumar, A., Dhingra, S., Batra, V., & Purohit, H. (2020). A framework of mobile banking adoption in India. Journal of Open Innovation: Technology, Market, and Complexity, 6(2), 40.
Kusuma, D. N. S. C., & Oktavianti, R. (2020). Penggunaan aplikasi media sosial berbasis audio visual dalam membentuk konsep diri: Studi kasus aplikasi tiktok. Koneksi, 4(2), 372–379.
Lee, D., Moon, J., Kim, Y. J., & Mun, Y. Y. (2015). Antecedents and consequences of mobile phone usability: Linking simplicity and interactivity to satisfaction, trust, and brand loyalty. Information & Management, 52(3), 295–304.
Liébana-Cabanillas, F., García-Maroto, I., Muñoz-Leiva, F., & Ramos-de-Luna, I. (2020). Mobile payment adoption in the age of digital transformation: The case of Apple Pay. Sustainability, 12(13), 5443.
Lu, H., Hsu, C., & Hsu, H. (2005). An empirical study of the effect of perceived risk upon intention to use online applications. Information Management & Computer Security, 13(2), 106–120.
Lu, J. (2014). Are personal innovativeness and social influence critical to continue with mobile commerce? Internet Research, 24(2), 134–159.
Lu, J., Yao, J. E., & Yu, C.-S. (2005). Personal innovativeness, social influences and adoption of wireless internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245–268.
Moghavvemi, S., Sharabati, M., Paramanathan, T., & Rahin, N. M. (2017). The impact of perceived enjoyment, perceived reciprocal benefits and knowledge power on students’ knowledge sharing through Facebook. The International Journal of Management Education, 15(1), 1–12.
Nguyen, T. D., & Nguyen, T. C. H. (2017). The role of perceived risk on intention to use online banking in Vietnam. 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 1903–1908.
Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of the Academy of Marketing Science, 33(3), 330–346.
Ohk, K., Park, S.-B., & Hong, J.-W. (2015). The influence of perceived usefulness, perceived ease of use, interactivity, and ease of navigation on satisfaction in mobile application. Advanced Science and Technology Letters, 84(2015), 88–92.
Özer, A., Argan, M. T., & Argan, M. (2013). The effect of mobile service quality dimensions on customer satisfaction. Procedia - Social and Behavioral Sciences, 99, 428–438. https://doi.org/10.1016/j.sbspro.2013.10.511
Pamungkas, R. T., & Djulaeka, D. (2019). Perlindungan hukum pemegang hak cipta atas lagu yang diunggah pada aplikasi tiktok. Simposium Hukum Indonesia, 1(1), 394–413.
Park, J., Amendah, E., Lee, Y., & Hyun, H. (2019). M‐payment service: Interplay of perceived risk, benefit, and trust in service adoption. Human Factors and Ergonomics in Manufacturing & Service Industries, 29(1), 31–43.
Praveena, K., & Thomas, S. (2014). Continuance intention to use Facebook: A study of perceived enjoyment and TAM. Bonfring International Journal of Industrial Engineering and Management Science, 4(1), 24–29.
Rahmadi, H., & Malik, D. (2016). Pengaruh kepercayaan dan persepsi risiko terhadap keputusan pembelian e-commerce pada tokopedia. com di Jakarta Pusat. Jurnal Reformasi Administrasi: Jurnal Ilmiah Untuk Mewujudkan Masyarakat Madani, 3(1), 126–145.
Ramayah, T. (2006). Interface characteristics, perceived ease of use and intention to use an online library in Malaysia. Information Development, 22(2), 123–133.
Roy, S. K., Kesharwani, A., & Bisht, S. S. (2012). The impact of trust and perceived risk on internet banking adoption in India. International Journal of Bank Marketing, 30(4), 303–322.
Setiawan, J. J. (2020). Pengaruh perceived usefulness, perceived ease of use, subjective norm, dan customer experience terhadap intention to use my telkomsel: Studi kasus pada mahasiswa Universitas Kristen Petra Surabaya. Jurnal Strategi Pemasaran, 7(1), 12.
Su, Y., Baker, B. J., Doyle, J. P., & Yan, M. (2020). Fan engagement in 15 seconds: Athletes’ relationship marketing during a pandemic via TikTok. International Journal of Sport Communication, 13(3), 436–446.
Syed-Abdul, S., Malwade, S., Nursetyo, A. A., Sood, M., Bhatia, M., Barsasella, D., Liu, M. F., Chang, C.-C., Srinivasan, K., & Raja, M. (2019). Virtual reality among the elderly: A usefulness and acceptance study from Taiwan. BMC Geriatrics, 19(1), 223.
Tanamal, R. (2017). Analisis faktor yang paling berpengaruh pada keinginan menggunakan applikasi grab di kota surabaya. 1(2), 121–130.
Teo, T., & Noyes, J. (2011). An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach. Computers & Education, 57(2), 1645–1653.
Thakur, Rakhi, & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369–392.
Thakur, Ramendra, Angriawan, A., & Summey, J. H. (2016). Technological opinion leadership: The role of personal innovativeness, gadget love, and technological innovativeness. Journal of Business Research, 69(8), 2764–2773.
Tu, C.-C., Fang, K., & Lin, C.-Y. (2012). Perceived ease of use, trust, and satisfaction as determinants of loyalty in e-auction marketplace. Journal of Computer, 7(3), 645–652.
Tussyadiah, I. P. (2016). Factors of satisfaction and intention to use peer-to-peer accommodation. International Journal of Hospitality Management, 55(2016), 70–80. https://doi.org/10.1016/j.ijhm.2016.03.005
Wahyuningtyas, Y. F., & Widiastuti, D. A. (2017). Analisis pengaruh persepsi risiko, kemudahan dan manfaat terhadap keputusan pembelian secara online : Studi kasus pada konsumen barang fashion di facebook. Kajian Bisnis STIE Widya Wiwaha, 23(2), 112–120. https://doi.org/10.32477/jkb.v23i2.208
Zhang, Y., Sun, J., Yang, Z., & Wang, Y. (2018). What makes people actually embrace or shun mobile payment: A cross-culture study. Mobile Information Systems, 2018, 1–13.
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2021-07-24 — Updated on 2021-10-01
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Nur Kholifah, Nurul Azizeh, Riska Denia, Nurjana Fitri Romadhon, Vira Kurniasih, & Usep Suhud. (2021). Niat Menggunakan Aplikasi TikTok: Faktor-faktor Dominan Apa Yang Mempengaruhi?. Jurnal Bisnis, Manajemen, Dan Keuangan - JBMK, 2(1), 111-131. Retrieved from http://pub.unj.ac.id/index.php/jbmk/article/view/195 (Original work published July 24, 2021)
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