
(2) Cahyani Pratisti

(3) Indah Ike Nurjanah

*corresponding author
AbstractThe aim of determining the online shopping behavior of Indonesian consumers was to create a model of online shopping behavior in Indonesia. The specific goal was to examine and develop a model of online shopping behavior in Indonesia using the Technology Acceptance Model, which is integrated with e-trust, security, and perceived risk as moderators. This research used a descriptive analysis method with a quantitative approach. Primary data were obtained by distributing questionnaires with 385 respondents as samples, using an online survey. The questionnaire was analyzed to determine the effect of the Technology Acceptance Model on Purchase Intention in online marketing through the moderating role of trust, security, and risk. The object of this research was online shopping users in Indonesia. The population of this study was all consumers who used the Internet to make online purchases (Blibli.com, Tokopedia.com, Bukalapak.com, Beribenka.com, Shopee.com, or other online product marketing sites) either through smartphone media or other media (PCs, and laptops). Samples were taken using the non-probability sampling technique with the purposive sampling method and analyzed using SEM. The results showed that perceived usefulness positively affected consumer attitudes, perceived ease of use positively affected consumer attitudes, perceived ease of use positively affected purchase intentions, perceived ease of use affected purchase intentions strengthened by perceived risk, consumer attitudes positively affected purchase intentions, attitudes affected purchase intentions strengthened by security, and attitudes affected purchase intentions strengthened by e-trust.
KeywordsTechnology Acceptance Model e-Trust e-Security Perceived Risk E-Commerce
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DOIhttps://doi.org/10.29099/ijair.v7i1.1.1115 |
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References
Ellitan, L., “Competing in the Era of Industrial Revolution 4.0 and Society 5.0”. Maksipreneur Journal: Management, Cooperative, and Entrepreneurship 10(1), pp. 1-12, 2020.
Karmaker, C.L., Bari, A.B.M.M., Anam, Md. Z., Ahmed, T., Ali, S.M., Pacheco, D.A.D.J., & Moktadir, Md. A, “Industry 5.0 challenges for post-pandemic supply chain sustainability in an emerging economy”. International Journal of Production Economics 258, pp. 108806, 2023.
Bruggemann, P., & Olbrich, ”The impact of COVID-19 pandemic restrictions on ofine and online grocery shopping: New normal or old habits ?”. Electronic Commerce Research. 23 (1), pp. 2051–2072, 2023.
Chilirò, D. “Digital Transformation, COVID-19, and the Future of Work. International Journal of Business Management and Economic Research (IJBMER)”, 12(3), pp. 1945-1952, 2021.
APJII, Indonesian Internet User 2023. Retrieved from: https://survei.apjii.or.id/
Statista.com, Number of users of e-commerce in Indonesia from 2019 to 2028(in millions). Retrieved from: https://www.statista.com/forecasts/251635/e-commerce-users-in-indonesia
Kasali, R., “Membidik Pasar Indonesia: Segmentasi, Targeting, dan. Positioning”. PT Gramedia Pustaka Utama, Jakarta, 2014.
Gokgoz, Z.A., Ataman, M.B., & Bruggen, G.V. “The Rise of Mobile Marketing: A Decade of Research in Review. Foundations and Trends in Marketing”, 17(3), pp. 140–226, 2022.
Statista.com, Retail e-commerce revenue in Indonesia from 2017 to 2027 (in billion U.S. dollars). Retrieved from: https://www.statista.com/forecasts/280925/e-commerce-revenue-forecast-in-indonesia, 2023.
Davis, F, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology’. MIS Quarterly, 13, pp-319-340, 1989.
Ajzen, I & M, Fishbein. “Understanding the Attitudes and Predicting Social Behavior”. Englewood Cliffs, New Jersey: Prentice-Hall, Inc, 1980.
Davis, F. D., Bagozzi, R. P., & Warshaw, P.R.”User Acceptance of Computer Technology: A Comparison of two Theoretical Models”. Maryland, 1989.
Blagoeva, K. T., & Mijoska, M. “Applying TAM to Study Online Shopping Adoption Among Youth in the Republic of Macedonia”. Management International Conference, pp. 543–554, 2017.
Lian, J., & Lin, T., “Effect of customer characteristics on their acceptance of online shopping: comparisons among different product types”. Computers in Human Behavior, 24, pp. 48-65, 2008.
Wu, M. Y., Chou, H. P., Weng, Y. C., & Huang, Y. H., “TAM2 Based Study of Website User Behavior Using Web 2.0 Websites As An Example”. WSeas Transaction on Business And Economics, 8, 133-151, 2011.
Cyr, D. “Modeling web site design across cultures: relationships to trust, satisfaction, and e-loyalty”. Journal of Management Information Systems. 24 (4), pp 47-72, 2008.
Cyr, D., Kindra, G.S. & Dash, S. “Web site design, trust, satisfaction, and e-loyalty: the Indian experience”. Online Information Review, 32(6), pp. 773- 790, 2008.
Harris, L., Goode, M., “The four levels of loyalty and the pivotal role of trust: a study of online service dynamics”. Journal of Retailing 80, 139–158, 2004.
Jin, B., Park, J. Y., & Kim, J, “Cross-cultural examination of the relationships among firm reputation, e-satisfaction, e-trust, and e-loyalty”. International Marketing Review, 25(3), pp. 324-337, 2007.
McKnight, D. H., & Chervany, N., L., “Conceptualizing trust: a typology and e-commerce customer relationships model”. In proceedings of the 34th Hawaii International conference on system science. IEEE, 2001.
Wibasuri, A., Purnomowati, I. & Singagerda, F.S., “Exploring The Impact of relevant factors on The Acceptance of Cryptocurrency Mobile Apps: An Extended Technology Acceptance Model (TAM-3)”, International Journal of Artificial Intelegence Research, 6.1.1, pp. 1-9, 2022.
Dowling, G.R. & Staelin, R. “A Model of Perceived Risk and Intended Risk-Handling Activity”. Journal of Consumer Research, 21, 119-134, 1994.
Bettman, J. R.,“Perceived risk and its components: A model and empirical test”. Journal of Marketing Research, 10(2), 184-190, 1973.
Kotler, P & Keller, K. “Marketing Management 14th Edition”, Upper Saddle River, NJ, Prentice Hall, 2011.
Hill, W. W., & Beatty, S.E. “A model of adolescents’ online consumer selfefficacy (OCSE)”. Journal of Business Research, 64, pp. 1025 – 1033, 2011.
Steinbauer, A., & Werthner, H., “Consumer behavior in e-tourism”. Information And Communication Technologies in Tourism, pp. 65-76, 2007.
Lin, F., Fofanah, S.S., & Liang, D., “Assessing citizen adoption of e-Government initiatives in Gambia: A validation of the technology acceptance model in information systems success”. Gov. Inf. Q. 28, 271–279, 2011.
Kroeber-Riel, W. & Weinberg, P. Konsumentenverhalten. Verlag Vahlen, 1999.
Groeppel-Klein & Baun, D., "The Role of Customers= Arousal For Retail Store - Results From an Experimental Pilot Study Using Electrodermal Activity As Indicator", in NA - Advances in Consumer Research Volume 28, eds, 2001.
Kroeber-Riel, W. & Weinberg, P, Konsumentenverhalten. Munchen, 1996.
Wibasuri, A., Bangsawan, S., Mahrinasari, M.S., Ribhan, “Determinants of Attitude Tourist in E-Tourism Usage”, International Journal of Engineering & Technology, 7(4), pp.6044-6050, 2018.
Wibasuri, A. & Jaya, I., “Determinants of Consumers Attitude in Batik lampung Based on Digital”, International Journal of Psychosocial Rehabilitation, 24(1), pp.1208-1218, 2020.
Hair, et al. Multivari data analysis. 2017.
Hair, Joe F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. “Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research”. European Business Review, 26(2), 106–121, 2014. https://doi.org/10.1108/EBR-10- 2013-0128
Anderson, James C. & Gerbing, David W. “Structural Equation Modeling in Practice: A review and Recommended Two Step Approach,” Psychological Bulletin, 103(3), pp. 411-423, 1988.
Bagozzi, R.P., “Evaluating Structural Equation Models with Unobservable Variables and Measument Error: A Comment,” Journal of Marketing Research, 18, 375-381, 1981.
Ping, R.A., “On Assuring Valid Measures for Theoritical Models Using Survey Data, Journal of Business Research, 57, pp. 125-141, 2004.
Utami, A. R. H., “The Effect of Perceived Ease of Use, Perceived Usefulness, and Trust on Intention to Use E-Commerce”. Prisma (Platform Riset Mahasiswa Akuntansi), 1(6), 79–93, 2020.
Ghozali, I., The Application of Multivariate Analysis with IBM SPSS 21 Update PLS Regression. Semarang: Diponegoro University Publisher, 2013.
Fitriani, D. “The Effect of Gender on Purchase Decision Online Product (A Case Study on Pontianak Society)”, 12(1), pp. 99-107, 2019. Retrieved from: https://core.ac.uk/download/pdf/285995952.pdf
Byrne, B.M, “Structural Equation Modeling With AMOS, EQS, and LISREL: Comparative Approaches to Testing for the Factorial Validity of a Measuring Instrument”. International Journal of Testing, 1(1), 55–86, 2001. https://doi.org/10.1207/S15327574IJT0101
Wijanto,S.H., A Research Methodology Using Structural Equation Modeling With Lisrel 8, Jakarta: Faculty of Economics Indonesia University, 2010.
Yamin, S. & Kurniawan, H. “Structural Equation Modeling: Study Easier Data Analysis and Questionaires Technique Using LISREL-PLS”. 2nd edition. Jakarta: Salemba Infotek, 2009.
Widarjono, A., An Multivariate Statistical Analysis Applied. 1st edition. Yogjakarta. UPP STIM YKPN, 2010.
Morgan, R. M., & Hunt, S. D., “The commitment-trust theory of relationship marketing. the Journal of Marketing, 58(3), 20-38, 1994.
Adams, D. A., Nelson, R. R., & Todd, P. A., “Perceived Usefulness, Ease Of Use, And Usage Of Information Technology”: A Replication. Mis Quarterly, 16(2), 227–248, 1992. http://www.elsevier.com/ locate/compedu
Mathieson, K.,”Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior”. Information Systems Research, 2, pp. 173-191, 1992. https://doi.org/10.1287/isre.2.3.173
Chuang, L.-M., Liu, C.-C., & Kao, H.-K. “International Journal of Management and Administrative Sciences (IJMAS) The Adoption of Fintech Service: TAM perspective. International Journal of Management and Administrative Sciences (IJMAS), 3(7), pp. 1–15, 2016. Retrieved from www.ijmas.orgwww.ijmas.org
Wu, C.-S., Cheng, F.-F., Yen, D. C., & Huang, Y.W., “User acceptance of wireless technology in organizations: A comparison of alternative models. Computer Standards & Interfaces, 33(1), pp. 50– 58, 2011. doi:10.1016/j.csi.2010.03.002
Wibowo, A., Study of Information System User Behavior with the Technology Acceptance Model (TAM) Approach, Budi Luhur University, Jakarta, 2006.
Jahangir, N, & Begum, N.,”The Role of Perceived Usefulness, Perceived Ease of Use, Security and Privacy, and Customer Attitude to Engender Customer Adaptation in The Context of Electronic Banking”. African Journal of Business Management, February, 2(1), pp. 032-040, 2008.
Widyarini, L.A., “Analysis of Behavioral Intentions to Use Internet Banking among Internet Users in Surabaya, Widya Journal of Management and Accounting”, 5(1), pp. 101-123, 2005.
Moon, J., & Kim, Y. “Extending The TAM For a World-Wide-Web Context”.I nformation Management, 38(4), pp. 217–230, 2001.
Coulter, K.S. & R.A. Coulter, “Determinant of Trust In a Service Provider: The Moderating Role of Length of Relationship,” Journal of Service Marketing, Vol. 16(1), pp. 35-50, 2022.
Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D., “User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), pp. 425–478, 2003.
Keaveney, S. M. “Customer Switching Behaviour in Service Industries: An Exploratory Study”. Journal of Marketing, 59(4), pp. 71–82, 1995.
Roca, J.C., Garcia, J.J. & De La Vega, J., J., “The Importance of Perceived Trust, Security and Privacy in Online Trading System”. Information Management & Computer Security, 17(2), pp. 96-113.
Talwar, S., Dhir, A., Kaur, P. & Mantymakki, M., “Why Do People Purchase from Online Travel Agencies (OTAs)? A Consumption Values Perspective”, International Journal of Hospitality Management, 88, 102534, 2020.
Sexton, R., S., Johnson, R., A., & Hignite, M., A., “Predicting internet/ e-commerce use”. Internet Research: Electronic Network Application and Polocy, 112 (5), pp. 402-410, 2002.
Weber, K. & Roehl, W.S., Information Technology and Tourism-A challenging relationship. New York: Springer, 1999.
McKnight, D. H., & Chervany, N. L. “What trust means in e-commerce customer relationships: an interdisciplinary conceptual typology”. International Journal of Electronic Commerce, 6, pp. 35-60, 2002.
Indrajit, R.E., “Electronic government: strategi pembangunan dan pengembangan sistem pelayanan publik berbasis teknologi digital”. Yogyakarta: Penerbit ANDI, 2002.
Baker, D.A., & Crompton, J.L., “Quality, satisfaction and behavioral intentions. Annals of Tourism Research”. 27 (3). pp. 785-804, 2020.
Utamanyu, R.A. & Darmastuti, R., Online Shopping Culture of Generation Z and The Millenial Generation in Central Java (Case Study of Beauty Products at Online Shop Beauty by ASAME). SCRIPTURA Journal, 12(1), pp. 58-71, 2022, DOI: 10.9744/scriptura.12.1.58-71
Putri, G.P., Welsa, H., & Diansepti, B. “The Influence of Security and Convenience on Repurchase Intentions with Purchase Intention as an Intervening Variable in Purchases on Shopee. Management, Economics, Finance and Accounting (MEKA), 2(1), pp. 28–32, 2021.
Achsa, A., & Dewi, M. S. E., “Analysis of Factors that Influence Consumer Buying Intentions: Study on Online Shop Shopee”. Economics & Business, 20(1), 80–87, 2021.
Validnews.id. The Amount of Internet User In Indonesia is About 220 million people, 2022. Retrieved from: https://validnews.id/nasional/jumlah-pengguna-internet-di-indonesia-220-juta-orang
Indonesiabaik.co., Internet users in Indonesia are increasing, 2022. Retrieved from: https://indonesiabaik.id/infografis/pengguna-internet-di-indonesia-makin-tinggi

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