Technology Acceptance Model in Tiktok Shop Adoption

Muhammad Rizqi Pratama

doi:10.31538/iijse.v7i3.5528

Muhammad Rizqi Pratama Institut Pertanian Bogor, Bogor, Indonesia

DOI: https://doi.org/10.31538/iijse.v7i3.5528

Keywords: Technology Acceptance, Technology Adoption, TikTok Shop, UTAUT2

Abstract

Virtual shopping has grown rapidly in the first two decades of the 21st century, driven by advances in information and communications technology and mobile devices. TikTok, a video sharing application from China, has introduced a shopping feature called TikTok Shop, which has attracted the attention of researchers studying its adoption. This research aims to understand the factors that influence the adoption and use of TikTok Shop in Indonesia. This research uses the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. Data was collected through an electronic questionnaire distributed to TikTok users in Indonesia. Data analysis was carried out using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method. The research results show that performance expectancy, social influence, facilitating conditions, price value, hedonic motivation, and habit have a positive influence on attitude and behavioral intention. Apart from that, attitude also has a positive influence on behavioral intention, which in turn influences consumer trust behavior relationship between behavioral intention and use behavior, strengthening this relationship. This research provides insight for technology developers and marketers about the key factors that drive e-commerce adoption through social media platforms such as TikTok Shop increasing the use of TikTok Shop in Indonesia.

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References

Agarwal, A., Leung, A., & Konana, P. (2011). Online retailer vs. click and mortar retailer : Who performs better? International Conference on Information Systems, 3546-3562.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 179-211.

Al-saedi, K., Al-emran, M., Ramayah, T., & Abusham, E. (2020). Technology in Society Developing a general extended UTAUT model for M-payment adoption. Technology In Society.

Alkhowaiter, W. A. (2022). Use and behavioural intention of m-payment in GCC countries: Extending meta-UTAUT with trust and Islamic religiosity. Journal of Innovation & Knowledge, 100240.

Alkhowaiter, W. A. (2022). Use and behavioural intention of m-payment in GCC countries: Extendingmeta-UTAUT with trust and Islamic religiosity. Journal of Innovation & Knowledge, 1-11.

Anand, T., Ramachandran, J., Sambasivan, M., & Batra, G. S. (2019). Impact of Hedonic Motivation on Consumer Satisfaction Towards Online Shopping: Evidence from Malaysia. e-Service Journal, 1-36.

Bazkiaei, H. A., Khan, N. U., Irshad, A.-u.-R., & Ahmed, A. (2021). Pathways toward entrepreneurial intention among Malaysian universities’ students. Business Process Management Journal, 1009-1032.

Beh, P. K., Ganesan, Y., Iranmanesh, M., & Foroughi, B. (2021). Using smartwatches for fitness and health monitoring: the UTAUT2 combined with threat appraisal as moderators. Behaviour & Information Technology, 282-299.

Bekti, D. B., Prasetyo, Y. T., Redi, A. A., Budiman, A. S., Mandala, I. M., Putra, A. R., . . . Young, M. N. (2022). Determining Factors Affecting Customer Intention to Use Rooftop Solar Photovoltaics in Indonesia. Sustainability, 1-14.

Brown, S. A., & Venkatesh, V. (2005). Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle. MIS Quarterly, 399-426.

Cabrera-Sanchez, J.-P., Villarejo-Ramos, A., Li´ebana-Cabanillas, F., & Shaikh, A. A. (2021). Identifying relevant segments of AI applications adopters – Expanding the UTAUT2’s variables. Telematics and Informatics, 1-18.

Cabrera-Sanchez, J.-P., Villarejo-Ramos, A. F., Li´ebana-Cabanillas, F., & Shaikh, A. A. (2021). Identifying relevant segments of AI applications adopters – Expanding the UTAUT2’s variables. Telematics and Informatics, 1-18.

Chang, A. (2012). Utaut and Utaut 2: A Review and Agenda for Future Research. Journal The WINNERS, 106–114.

Chi, O. H., Jia, S., Li, Y., & Gursoy, D. (2021). Developing a formative scale to measure consumers’ trust toward interaction with artificially intelligent (AI) social robots in service delivery. Computers in Human Behavior, 1-17.

Chopdar, P. K., Korfiatis, N., Sivakumar, V., & Lytras, M. D. (2018). Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology. Computers in Human Behavior, 109-128.

Chu, T.-H., Chao, C.-M., Liu, H.-H., & Chen, D.-F. (2022). Developing an Extended Theory of UTAUT 2 Model to Explore Factors Influencing Taiwanese Consumer Adoption of Intelligent Elevators. Article Reuse Guidelines, 1-16.

Colquitt, J. A., & Rodell, J. (2011). Justice, Trust, and Trustworthiness: A Longitudinal Analysis Integrating Three Theoretical Perspectives. The Academy of Management Journal, 1183-1206.

Compeau, D. R., & Higgins, C. A. (1995). Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly, 189-211.

Cook, J., & Wall, T. (1980). New work attitude measures of trust, organizational commitment and personal need non-fulfilment. Journal of Occupational Psychology, 39-52.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 319-339.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 982–1003.

DeMarree, K. G., Clark, C. J., Wheeler, S. C., Briñol, P., & Petty, R. E. (2017). On the pursuit of desired attitudes: Wanting a different attitude affects information processing and behavior. Journal of Experimental Social Psychology, 129-142.

Fishbein, M. A., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Addison-Wesley.

Gansser, O. A., & Reich, C. S. (2021). A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application. Technology in Society, 1-15.

Gao, X., Clark, G. D., & Landqvist, J. (2016). Of Two Minds, Multiple Addresses, and One Ledger: Characterizing Opinions, Knowledge, and Perceptions of Bitcoin Across Users and Non-Users. CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. California.

Gazali, H. M. (2019). Bitcoin Investment Behaviour: A Pilot Study. International Journal on Perceptive and Cognitive Computing, 81-86.

Gupta, S., Gupta, S., Mathew, M., & Sama, H. R. (2021). Prioritizing intentions behind investment in cryptocurrency: a fuzzy analytical framework. Journal of Economic Studies, 1442-1459.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis. North Way: nnabel Ainscow.

Hair, J. F., Hult, G. T., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Los Angeles: SAGE Publications.

Hanif, M. S., Hanif, M. I., & Shao, Y. (2018). Growth prospects, market challenges and policy measures: evolution of mobile broadband in Pakistan. Digital Policy, Regulation and Governance, 42-61.

Hanif, M. S., Wang, M., Mumtaz, M. U., Ahmed, Z., & Zaki, W. (2022). What attracts me or prevents me from mobile shopping? An adapted UTAUT2 model empirical research on behavioral intentions of aspirant young consumers in Pakistan. Asia Pacific Journal of Marketing and Logistics, 1-29.

Imtiaz, S. (2018). The studies of Unified Theory of Acceptance and Use of Technology (UTAUT) in M-commerce Context. International Journal of Information Communication Technology and Digital Convergence, 42-56.

Kim, S. C., Yoon, D., & Han, E. K. (2014). Antecedents of mobile app usage among smartphone users. Journal of Marketing Communications, 1-18.

Kwateng, K. O., Atiemo, K. A., & Appiah, C. (2019). Acceptance and use of mobile banking: an application of UTAUT2. Journal of Enterprise Information Management, 118-151.

Liu, N., & Ye, Z. (2021). Empirical research on the blockchain adoption – based on TAM. Applied Economics, 4263–4275.

Maksan, M. T., & Jelić, M. (2022). The Role Of Consumer Ethnocentrism And Habit In Potato Chip Purchases: An Extension OF TPB. JEL classification, 25-47.

Marriott, H. R., & Williams, M. D. (2018). Exploring consumers perceived risk and trust for mobile shopping: a theoretical framework and empirical study. Journal of Retailing and Consumer Services, 133-146.

McKnight, D. H., & Chervany, N. L. (2001). What Trust Means in E-Commerce Customer Relationships: An Interdisciplinary Conceptual Typology. International Journal of Electronic Commerce, 35-59.

Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 192-222.

Moorman, C., Deshpandé, R., & Zaltman, G. (1993). Factors Affecting Trust in Market Research Relationships. Journal of Marketing, 81-101.

Neuman, W. L. (2014). Social Research Methods: Qualitative and Quantitative Approaches. Seventy Ed: Pearson Education Limited.

Nikou, S., Reuver, M. D., & Kanafi, M. M. (2022). Workplace literacy skills—how information and digital literacy affect adoption of digital technology. Journal of Documentation, 371-391.

Oliveira, T., Faria, M., Thomas, M. A., & Popovic, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 689-703.

Pal, A., Herath, T., De', R., & Rao, H. R. (2020). Contextual facilitators and barriers influencing the continued use of mobile payment services in a developing country: insights from adopters in India. Information Technology for Development, 394-420.

Radic, A., Quan, W., Ariza-Montes, A., Lee, J.-S., & Han, H. (2022). You can’t hold the tide with a broom: Cryptocurrency payments and tourism in South Korea and China. Tourism Management Perspectives, 1-18.

Rahmawati, S. (2018). Fenomena Pengguna Aplikasi TikTok di Kalangan Mahasiswa Universitas Pasundan Bandung. Institutional Repositories & Scientific Journals. , 1-51.

Saunders, M. N., Lewis, P., & Thornhill, A. (2019). Research Methods for Business Students. Harlow: PEARSON EDUCATION LIMITED.

Sekaran, U., & Bougie, R. (2016). Research Methods for Business: A Skill-Building Approach. 7th Edition, Wiley & Sons, West Sussex. West Sussex: John Wiley & Sons Ltd.

Sekhon, H. S., Kharouf, H., Devlin, J. F., & Ennew, C. (2014). Trustworthiness and trust: Influences and implications. Journal of Marketing Management.

Shahzad, F., Xiu, G., Wang, J., & Shahbaz, M. (2018). An empirical investigation on the adoption of cryptocurrencies among the T people of mainland China. Technology in Society, 33-40.

Sharma, S., Singh, G., & Pratt, S. (2020). Does Consumers' Intention to Purchase Travel Online Differ Across Generations? Empirical Evidence from Australia. Australasian Journal of Information Systems, 1-32.

Sharma, V. M., & Klein, A. (2020). Consumer perceived value, involvement, trust, susceptibility to interpersonal influence, and intention to participate in online group buying. Journal of Retailing and Consumer Services, 1-11.

Sholihin, M., & Ratmono, D. (2013). Analisis SEM – PLS dengan WarpPLS 3.0: Untuk Hubungan Linear dalam Penelitian Sosial dan Bisni. Yogyakarta: Andi.

Söllner, M., Benbasat, I., Gefen, D., & Leimeister, J. M. (2016). Trust: An MIS Quarterly Research Curation. MIS Quarterly.

Statistik, B. P. (2022). Statistik eCommerce 2022. Jakarta: BPS.

Sun, Y., Wang, N., Guo, X., & Peng, Z. (2013). Understanding the acceptance of mobile health services: A comparison and integration of alternative models. Journal of Electronic Commerce Research, 1-19.

Tak, P., & Panwar, S. (2017). Using UTAUT 2 model to predict mobile app based shopping: evidences from India. Journal of Indian Business Research, 1755-4195.

Taylor, S., & Todd, P. (1995). Assessing IT Usage: The Role of Prior Experience. MIS Quarterly, 561-570.

Tenenhaus, M., Vinzi, V. E., & Amato, S. (2016). A global goodness-of-fit index for PLS structural equation modelling. European Satisfaction Index System, 1-4.

Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 125-143.

Thusi, P., & Maduku, D. K. (2020). South African millennials’ acceptance and use of retail mobile banking apps: An integrated perspective. Computers in Human Behavior, 1-10.

Toha, Mohamad & Supriyanto. (2023). Factors Influencing the Consumer Research Process: Market Target, Purchasing Behavior and Market Demand (Literature Review Of Consumer Behavior). Danadyaksa: Post Modern Economy Journal, 1(1), 1–17. Retrieved from https://e-journal.bustanul-ulum.id/in

Venkatesh, V., Morris, M. G., Davis, F. D., & Davis, G. B. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 425-478.

Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 157-178.

Vinerean, S., Budac, C., Baltador, L. A., & Dabija, D.-C. (2022). Assessing the Effects of the COVID-19 Pandemic on M-Commerce Adoption: An Adapted UTAUT2 Approach. Electronics, 1-22.

Yamin, S., & Kurniawan, H. (2009). Structural Equation Modeling: Belajar Lebih Mudah Teknik Analisis Data Kuesioner Dengan Lisrel - PLS / Sofyan Yamin, Heri Kurniawan. Jakarta: Salemba Infotek.