THE IMPACT OF PERCEIVED RISK, PERCEIVED BENEFIT, AND TRUST ON CUSTOMER INTENTION TO USE TOKOPEDIA APPS

*Hesti Candra Sari  -  Airlangga University, Indonesia
Open Access Copyright 2023 JURNAL BISNIS STRATEGI

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Abstract
This study aims to analyze the influence of perceived benefit and perceived risk on trust and intention to use Tokopedia, as a biggest marketplace in Indonesia. This study using descriptive quantitative method to analyze 150 responden with Partial Least Square. The results of the study indicate a positive correlation between the perceived benefit and trust of Tokopedia users, which leads to an increase in the intention to use the application. Additionally, the results of the study demonstrate a negative correlation between perceived risk and trust in the Tokopedia. This research contributes to the growth of intention studies regarding mobile marketplace applications. This research contributes to the development of the Tokopedia Application so that it is more focused on maximizing customer benefits and minimizing user risks.
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Keywords: Perceived risk, perceived benefit, intention to use, Tokopedia
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  1. Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11-39). Springer, Berlin, Heidelberg
  2. Ali, M., Raza, S. A., Khamis, B., Puah, C. H., & Amin, H. (2021). How perceived risk, benefit and Trust determine user Fintech adoption: a new dimension for Islamic finance. Foresight
  3. Anckar, B., & D'incau, D. (2002). Value creation in mobile commerce: Findings from a consumer survey. Journal of Information Technology Theory and Application (JITTA), 4(1), 8
  4. Assauri, S. (2013). Marketing management. Jakarta: Rajawali Pers
  5. Au, Y. A., & Kauffman, R. J. (2008). The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application. Electronic commerce research and applications, 7(2), 141-164
  6. Barclay, Donald & Thompson, Ron & Higgins, C.. (1995). The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Use as an Illustration. Technology Studies. 2
  7. Barkhi, R., & Wallace, L. (2007). The impact of personality type on purchasing decisions in virtual stores. Information Technology and Management, 8(4), 313-330
  8. Bitocto.com.(2022, 24 Juni). Perkembangan di Indonesia Sangat Pesat. Diakses pada 24 Juni 2022. https://bitocto.com/perkembangan- -di-indonesia-sangat-pesat/
  9. Cangur, S., & Ercan, I. (2015). Comparison of model fit indices used in structural equation modeling under multivariate normality. Journal of Modern Applied Statistical Methods, 14(1), 14. https://doi.org/10.22237/jmasm/1430453580
  10. Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of marketing, 64(4), 65-81
  11. Chang, H. H., & Chen, S. W. (2008). The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator. Online information review
  12. Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. MIS quarterly, vii-xvi
  13. Coelho, D. C., Meneses, R. F. C., & Moreira, M. R. A. (2013). Factors influencing purchase intention of private label products: The case of smartphones. Lecture Notes in Business Information Processing, 143 LNBIP, 313–321
  14. Currall, S. C., & Judge, T. A. (1995). Measuring Trust between organizational boundary role persons. Organizational behavior and Human Decision processes, 64(2), 151-170
  15. Dinev, T., Bellotto, M., Hart, P., Russo, V., Serra, I., & Colautti, C. (2006). Privacy calculus model in e-commerce–a study of Italy and the United States. European Journal of Information Systems, 15(4), 389-402
  16. Dirks, K. T., & Ferrin, D. L. (2001). The role of Trust in organizational settings. Organization science, 12(4), 450-467
  17. Effendi, A. P., & Subroto, B. (2021). Analysis of E-Commerce Adoption Factors by Micro, Small, and Medium Enterprise, and Its Effect on Operating Revenue. Jurnal Reviu Akuntansi dan Keuangan, 11(2), 250-265
  18. Eiser, J. R., Miles, S., & Frewer, L. J. (2002). Trust, perceived risk, and attitudes toward food technologies 1. Journal of applied social psychology, 32(11), 2423-2433
  19. Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International journal of human-computer studies, 59(4), 451-474
  20. Flick, K. L. (2009). Assessing consumer acceptance of online shopping: Examining factors affecting purchase intentions (Doctoral dissertation, Northcentral University)
  21. Fornell, C. and Bookstein, F. (1982). Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory. Journal of Marketing Research.19. 440-452
  22. Fraenkel, J. R., & Wallen, E. N. (2005). How to Design and Emulated Research in Education. McGraw-Hill
  23. Ganzaroli, A., Tan, Y. H., & Thoen, W. A. W. (1999). The social and institutinal context of Trust in electronic commerce. In Paper prepared for: WORKSHOP 2nd Autonomous Agents Conference, Fraud and Trust in Agent Societies, Seattle. Autonomous Agents
  24. George, D., & Mallery, P. (2003). SPSS untuk Windows selangkah demi selangkah: Panduan dan Referensi Sederhana. Pembaruan 11,0 (edisi keempat). Boston: Allyn & Bacon
  25. Geven, D., & Straub, D. W. (2004). Consumer Trust in B2C e-Commerce and the Importance of Social Presense: Experiments in e-Products and e-Service. Omega, 32(6), 407-424
  26. Ghozali, I. (2016) Aplikasi Analisis Multivariete Dengan Program IBM SPSS 23. Edisi 8. Semarang: Badan Penerbit Universitas Diponegoro
  27. Ghozali, Imam. (2008). Structural Equation Modelling, Edisi II, Universitas Diponegoro, Semarang
  28. Ghozali, Imam. (2016) Aplikasi Analisis Multivariete Dengan Program IBM SPSS 23. Edisi 8. Semarang: Badan Penerbit Universitas Diponegoro
  29. Grewal, D., Monroe, K. B., & Krishnan, R. (1998). The effects of price-comparison advertising on buyers’ perceptions of acquisition value, transaction value, and behavioral intentions. Journal of marketing, 62(2), 46-59
  30. Hajar, Ibnu, 1996. Dasar-dasar Metodologi Penelitian Kuantitatif Dalam Pendidikan. Jakarta. PT. Raja Grafindo Persada
  31. Hartono, Jogiyanto. (2011). Metodologi Penelitian Bisnis: Salah Kaprah dan Pengalaman-pengalaman. BPFE. Yogyakarta
  32. Hasan, S. Z., Ayub, H., Ellahi, A., & Saleem, M. (2022). A moderated mediation model of factors influencing intention to adopt among university students. Human Behavior and Emerging Technologies, 2022
  33. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115-135
  34. Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In New challenges to international marketing. Emerald Group Publishing Limited
  35. Hooper, D., Coughlan, J., & Mullen, M. (2008, September). Evaluating model fit: a synthesis of the structural equation modelling literature. In 7th European Conference on research methodology for business and management studies (pp. 195-200)
  36. Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55
  37. Iskandar. (2020). Tokopedia 2.0 Diklaim Lebih Aman dan Kaya Fitur. [Diakses pada 24 Juni 2022]. https://www.liputan6.com/tekno/read/4278198/Tokopedia-20-diklaim-lebih-aman-dan-kaya-fitur
  38. Iswati, S., & Anshori, M. (2009). Metodologi Penelitian Kuantitatif
  39. JPNN.com. (2020, 13 Mei). Kembangkan Bisnis di Indonesia, Tokopedia Dapat Suntikan Dana dari Binance. Diakses pada 26 Juni 2022, dari https://www.jpnn.com/news/kembangkan-bisnis-di-indonesia-Tokopedia-dapat-suntikan-dana-dari-binance?page=2
  40. Kerviler, G. D., Demoulin, N., & Zidda, P. (2017). Adoption of proximity m-payment services: Perceived value and experience effect (An Abstract). In Marketing at the Confluence between Entertainment and Analytics (pp. 275-276). Springer, Cham
  41. Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in human behavior, 26(3), 310-322
  42. Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A Trust-based consumer decision-making model in electronic commerce: The role of Trust, perceived risk, and their antecedents. Decision support systems, 44(2), 544-564
  43. Kotler, P. & Keller, K.L. (2016). Marketing management (15). Harlow: Pearson Education Ltd
  44. Kotler, P., Armstrong, G., Harris, L.C., & He, H. (2019). Principles of marketing. Harlow: Pearson Education Ltd
  45. Koufaris, M., & Hampton-Sosa, W. (2004). The development of initial Trust in an online company by new customers. Information & management, 41(3), 377-397
  46. Kuriyan, R., & Ray, I. (2009). Outsourcing the state? Public–private partnerships and information technologies in India. World Development, 37(10), 1663-1673
  47. Kuriyan, R., Kitner, K., & Watkins, J. (2010). ICTs, development and Trust: an overview. Information Technology & People
  48. Kurniawan, H. (2011). Partial Least Square (PLS) sebagai Metode Alternatif Sem Berbasis Varians (LISREL) Dalam Eksplorasi Data Survey Dan Data Mining. Jurnal Telematika, 7(1)
  49. Laroche, M., & Nepomuceno, M. (2010). How do involvement and product knowledge affect the relationship between intangibility and perceived risk for brands and product categories? Journal of Consumer Marketing, 27(3), 197–210
  50. Laroche,M., Bergeron, J., & Goutaland, C. (2003). How intangibility affects perceived risk: The moderating role of knowledge and involvement. Journal of Services Marketing, 17(2), 117–140
  51. Latan, H., & Ghozali, I. (2012). Partial least Squares: Concept and application path modeling using program XLSTAT-PLS for empirical research. BP UNDIP
  52. Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic commerce research and applications, 8(3), 130-141
  53. Liao, S. H., Chung, Y. C., Hung, Y. R., & Widowati, R. (2010, December). The impacts of brand trust, customer satisfaction, and brand loyalty on word-of-mouth. In 2010 IEEE international conference on industrial engineering and engineering management (pp. 1319-1323). IEEE
  54. Lin, J., Lu,Y.,Wang, B.,&Wei, K. (2011). The role of inter-channel Trust transfer in establishing mobile commerce Trust. Electronic Commerce Research and Applications, 10(6), 615–625
  55. Ling, K. C., Daud, D. B., Piew, T. H., Keoy, K. H., & Hassan, P. (2011). Perceived risk, perceived technology, online Trust for the online purchase intention in Malaysia. International Journal of Business and Management, 6(6), 167
  56. Liu, M. T., Brock, J. L., Shi, G. C., Chu, R., & Tseng, T. H. (2013). Perceived benefits, perceived risk, and Trust: Influences on consumers' group buying behaviour. Asia Pacific Journal of Marketing and Logistics
  57. Lu, Y., Yang, S., Chau, P. Y., & Cao, Y. (2011). Dynamics between the Trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information & management, 48(8), 393-403
  58. Mallat, N. (2007). Exploring consumer adoption of mobile payments–A qualitative study. The Journal of Strategic Information Systems, 16(4), 413-432
  59. Masoud, E. Y. (2013). The effect of perceived risk on online shopping in Jordan. European Journal of Business and Management, 5(6), 76-87
  60. Matemba, E. D., & Li, G. (2018). Consumers' willingness to adopt and use WeChat wallet: An empirical study in South Africa. Technology in Society, 53, 55-68
  61. Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational Trust. Academy of management review, 20(3), 709-734
  62. Nambiar, S., & Lu, C. T. (2005). M-payment solutions and m-commerce fraud management. In Advances in security and payment methods for Mobile commerce (pp. 192-213). IGI Global
  63. Natarajan, T., Balasubramanian, S. A., & Kasilingam, D. L. (2018). The moderating role of device type and age of users on the intention to use mobile shopping applications. Technology in Society, 53, 79-90
  64. 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
  65. Passagi, J. H. Bitcoin: A Comparative Study of Legality in America and Indonesia. Juris Gentium Law Review, 5(2), 54-71
  66. Pei, Y., Wang, S., Fan, J., & Zhang, M. (2015, August). An empirical study on the impact of perceived benefit, risk and Trust on e-payment adoption: Comparing quick pay and union pay in China. In 2015 7th international conference on intelligent human-machine systems and cybernetics (Vol. 2, pp. 198-202). IEEE
  67. Ranaweera, C., & Prabhu, J. (2003). On the relative importance of customer satisfaction and trust as determinants of customer retention and positive word of mouth. Journal of Targeting, Measurement and Analysis for marketing, 12(1), 82-90
  68. Rempel, J. K., Holmes, J. G., & Zanna, M. P. (1985). Trust in close relationships. Journal of personality and social psychology, 49(1), 95
  69. Ribeiro, M. A., Gursoy, D., & Chi, O. H. (2022). Customer acceptance of autonomous vehicles in travel and tourism. Journal of Travel Research, 61(3), 620-636
  70. Rotter, J. B. (1980). Interpersonal Trust, Trustworthiness, and gullibility. American psychologist, 35(1), 1
  71. Salo, J., & Karjaluoto, H. (2007). A conceptual model of Trust in the online environment. Online information review
  72. Santosa, P.I (2018). Metode Penelitian Kuantitatif. Yogyakarta : Penerbit Andi
  73. Sekaran, U. & Bougie, R.J., (2016). Research Methods for Business: A skill Building Approach. 7th Edition, John Wiley & Sons Inc. New York, US
  74. Sholihin, M., & Ratmono, D. (2013). Analysis of SEM-PLS with WarpPLS 3.0 for nonlinear relations in social and business research. Yogyakarta: Andi Publisher
  75. Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and Trust. Psychology & Marketing, 32(8), 860-873
  76. Smith, M. L. (2010). Building institutional Trust through e‐government Trustworthiness cues. Information Technology & People
  77. Sugiyono. (2017). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta
  78. Swastha, B., & Handoko, T. (2008). Manajemen pemasaran modern. Yogyakarta: Liberty
  79. Tang, K. L., Ooi, C. K., & Chong, J. B. (2020). Perceived risk factors affect intention to use FinTech. Journal of accounting and finance in emerging economies, 6(2), 453-463
  80. Teo, A. C., Tan, G. W. H., Ooi, K. B., Hew, T. S., & Yew, K. T. (2015). The effects of convenience and speed in m-payment. Industrial Management & Data Systems
  81. Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on engineering management, (1), 28-45
  82. Triandis, H. C. (1980). Reflections on trends in cross-cultural research. Journal of cross-cultural psychology, 11(1), 35-58
  83. Tsujikawa, N., Tsuchida, S., & Shiotani, T. (2016). Changes in the factors influencing public acceptance of nuclear power generation in Japan since the 2011 Fukushima Daiichi nuclear disaster. Risk analysis, 36(1), 98-113
  84. Walker, R. H., & Johnson, L. W. (2006). Why consumers use and do not use technology‐enabled services. Journal of services Marketing, 20(2), 125-135
  85. Walsh, G., & Mitchell, V. W. (2010). The effect of consumer confusion proneness on word of mouth, trust, and customer satisfaction. European Journal of marketing, 44(6), 838-859
  86. Wang, L., Watanabe, T., & Wakui, K. (2021). Acceptance of Main Power Generation Sources among Japan’s Undergraduate Students: The Roles of Knowledge, Experience, Trust, and Perceived risk and Benefit. Sustainability, 13(22), 12416
  87. Wang, Y., & Singh, M. P. (2006, July). Trust representation and aggregation in a distributed agent system. In AAAI (Vol. 6, pp. 1425-1430)
  88. Yildiz, E. (2017). Effects of service quality on customer satisfaction, trust, customer loyalty and word of mouth: an application on cargo companies in gümüşhane. Global Journal of Economics and Business Studies, 6(12), 81-88

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