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This article aims to explain the effect of perceived ease of use, perceived usefulness, attitude, intention to use, on the actual use of online shopping facilities through Shopee in Surakarta. This research is moderated by discount variable. Literature reviews were conducted by several highly reputable national and international journals including research from Zhong et al. (2021) and Gusni et al. (2020). This article uses the Technology Acceptance Model (TAM) to identify the variables used in creating the conceptual model. The research method used the structural equation model (SEM) analysis technique through SmartPLS 4. The results of the study found that there was a positive influence between perceived ease of use, perceived usefulness, attitude, intention to use, on actual use. In addition, the discount variable also moderates the relationship between perceived ease of use on attitude and attitude on intention to use, but the discount variable does not moderate the relationship between perceived usefulness on attitude and intention to use on actual use. Researchers hope that this research can add insight and help e-commerce, especially Shopee, to design effective strategies in terms of marketing to influence consumers. This research is also expected to provide theoretical and practical contributions and is expected to be used for future studies.

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References

  1. Anthony, L., & Sama, H. (2021). Qualification Studies Regarding Acceptance Factors For Shopee E-Commerce Applications And Fintech Shopeepay For Senior Communities. Journal Conference on Management, Business, Innovation, Education and Social Science, 1(1), 678–686.
     Google Scholar
  2. Assael, H. (1998). Consumer Behavior and Marketing Action (6th Ed.). New York: International Thomson Publishing, 1998.
     Google Scholar
  3. Chang. (2010). Chinese consumers' perception of hypermarket store image. Asia Pacific Journal of Marketing and Logistics, 22(4). 512-527. https://doi.org/10.1108/13555851011090538.
     Google Scholar
  4. Degeratu, A.M., Rangaswamy, A., & Wu, J. (2000). Consumer choice behavior in online and traditional supermarkets: The effects of brand name , price , and other search attributes. International Journal of Research in Marketing, 17(24). 55-78.
     Google Scholar
  5. Faizah, O.A., Suparti, & Hoyyi, A. (2021). Analysis of the Technology Acceptance Model on the Shopee Platform Application with the Partial Least Square Approach (Case Study on Diponegoro University Students). Gaussian Journal, 10(3), 423–434.
     Google Scholar
  6. Fui, Y.J., Mariapun, S., & Mamun, A.A. (2014). Factors Affecting Airline Electronic Ticketing: Differences between Adopters. International Journal of Management and Entrepreneurship, 6(1). 23-31.
     Google Scholar
  7. Gardner, C., & Amoroso, D.L. (2004). Development of an Instrument to Measure the Acceptance of Internet Technology by Consumers. Proceedings, Hawaii International Conference on System Sciences, 37, 1-10. [Kountur 2007, 106].
     Google Scholar
  8. Gefen, D., & Straub, D.W. (2004). Consumer Trust in B2C e-Commerce and the Importance of Social Presence: Experiments in e-Products and e-Services. The International Journal of Management Science, 32, 407-424. http://dx.doi.org/10.1016/j.omega.2004.01.006
     Google Scholar
  9. Ghozali, I., & Latan, H. (2015). Partial Least Squares: Concepts, Techniques and Applications Using the SmartPLS 3.0 Program. Semarang: Diponegoro University Publishing Agency.
     Google Scholar
  10. Google Trends. (2022). Shopee interest. Available at: https://trends.google.co.id/trends/explore?cat=18&date=today%205-y&geo=ID-JT&q=shopee&hl=id.
     Google Scholar
  11. Gusni, Hurriyati, R., & Dirgantari, P.D. (2020). The Influence of Perceived Usefulness and Perceived Ease of Use on Attitude and Actual Usage of Go-Pay. Journal of Management and Entrepreneurship, 8(1), 22–33.
     Google Scholar
  12. Hair, J.F., Hult, G.T.M., & Ringle, C.M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd Ed.). Los Angeles: SAGE.
     Google Scholar
  13. Hamari, J., Sjoklint, M., & Ukkonen, A. (2015). The sharing economy: Why people participate in collaborative consumption. Journal of the Association for Information Science and Technology 67(9). 2047-2059.
     Google Scholar
  14. Hanggono, Handayani & Susilo. (2015). Analysis of TAM (Technology Acceptance Model) Practices in Supporting Online Business by Utilizing the Instagram Social Network. Journal of Business Administration (JAB), 26(1). 1–9. https://doi.org/administrasibisnis.studentjournal.ub.ac.id.
     Google Scholar
  15. Haque, A., Khatibi, A., & Mahmud, S.A. (2009). Factors determining customer shopping behavior through the Internet: the Malaysian case. Australian Journal of Basic and Applied Sciences, 3(4), 3452–3463.
     Google Scholar
  16. Hotlan, S., & Edwin, C. (2014). Analysis of Website Quality, Trust, and Online Shop Customer Loyalty. Journal of Marketing Management, 8(2), 55-61.
     Google Scholar
  17. Howard, J.A. (1989). Consumer Behavior and Marketing Strategy. Prentice-Hall, Inc. Englewood Cliffs, NJ.
     Google Scholar
  18. Jarvenpaa, S.L., & Todd, P.A. (2016). Consumer Reactions to Electronic Shopping on The World Wide Web. International Journal of Electronic Commerce, 1(2). 59-88.
     Google Scholar
  19. Juniwati. (2014). Influence of Perceived Usefulness, Ease of Use, Risk on Attitude and Intention To Shop Online. European Journal of Business and Management, 6(27). 218-228.
     Google Scholar
  20. Krishnan, Shapiro, & Stewart. (2001). Memory Based Measures for Assessing Advertising Effect: A Comparison of Explicit and Implicit Memory Effect. Journal of Advertising, (3).
     Google Scholar
  21. Lestari, L.N., & Dwijayanti, R. (2021). The Effect of the Harbolnas Phenomenon (National Online Shopping Day) on Shopee E-commerce Through Discounts and Ease of Transactions on Purchasing Decisions. Journal of Commerce Education, 9(3), 1-20.
     Google Scholar
  22. Li, C. P. (2017). Effects of Brand Image, Perceived Price, Perceived Quality, and Perceived Value on the Purchase Intention towards Sports and Tourism Products of the 2016 Taichung International Travel Fair. The Journal of International Management Studies, 12(2), 97–107.
     Google Scholar
  23. Mao, D., & Major, S. (2010). A Study of Consumer Trust in Internet Shopping And the Moderating Effect of Risk Aversion in Mainland China China Business Studies Major An Honors Degree Project Submitted to the School of Business in Partial Fulfillment of the Graduation Requirement for. Journal Management, 1(1), 1–50. https://doi.org/Doc12notit08.
     Google Scholar
  24. Mayer, R.C. & Gavin, M.B. (2005). Trust in Management and Performance: Who Minds the Shop While the Employess Watches the Boss? Academy of Management Journal, 48(5), 874-888.
     Google Scholar
  25. Nikhashem, S.R. & Yasmin, F. (2011). Study on Customer Perception Towards Online-Ticketing In Malaysia. Contemporary Research Issues and Challenges in Emerging Economies. 320-338.
     Google Scholar
  26. Purnami, N.M., & Nurcaya, I.N. (2015). The Effect of E-Trust, Perceived Usefulness and E-Satisfaction on Online Repurchase Intention. National Seminar on Science and Technology (Senastek). 1–8.
     Google Scholar
  27. Rachbini, W., Salim, F., Haque, M.G., & Rahmawati, E. (2019). Analysis of Mobile E-Commerce Repurchase Intention with the Technology Acceptance Model (TAM) Approach. Journal of Business and Management Applications, 5(3), 530–540. https://doi.org/10.17358/jabm.5.3.530.
     Google Scholar
  28. Rossiter, J., R., & Percy, L. (1992). A Model of Brand Awareness and Brand Attitude Advertising Strategies. Psychology and Marketing, 9(4). 263-274.
     Google Scholar
  29. Sanz-blas, S. & Ruiz-mafe, C. (2009). Journal of Air Transport Management Drivers and barriers to online airline ticket purchasing. Journal of Air Transport Management, 15(6). 294–298. https://dx.doi.org/10.1016/j.jairtraman.2009.02.001.
     Google Scholar
  30. Schiffman, L.G., & Wisenblit, J. (2019). Consumer Behavior (12th Ed.) In Pearson, pp. 53-59.
     Google Scholar
  31. Sekaran, U., & Bougie, R. (2016). Research Methods for Business: A Skill-Building Approach (7th ed.). United Kingdom: Wiley.
     Google Scholar
  32. Song, H. J., Ruan, W. J., & Jeon, Y. J. J. (2021). An integrated approach to the purchase decision making process of food-delivery apps: Focusing on the TAM and AIDA models. International Journal of Hospitality Management, 95, (March), 102943. https://doi.org/10.1016/j.ijhm.2021.102943.
     Google Scholar
  33. Till, B.D., & Baack, D.W. (2005). Recall and Persuasion: Does Creative Advertising. matter? Journal of Advertising, 34(3). 47-57.
     Google Scholar
  34. Zhong, Y., Oh, S., & Moon, H.C. (2021). Service Transformation Under Industry 4.0: Investigating Acceptance of Facial Recognition Payment Through an Extended Technology Acceptance Model. Technology in Society, 64, 101515. https://doi.org/10.1016/j.techsoc.2020.101515.
     Google Scholar