TRUST AND PERCEIVED BENEFIT AS ANTECEDENTS OF REUSE INTENTION IN MOBILE PAYMENT SERVICES

Ajeng Putri Narahdita, Siti Aisjah, Nur Kusniyah

Abstract


The purpose of this study is to describe and analyze the direct and indirect relations between trust, perceived benefit, perceived risk, and reuse intention. The population of this research is to graduate students who have used Go-pay. Using a purposive sampling method with a nonprobability sampling technique, 177 people were selected as respondents. Research findings show that the trust had an influence directly against the perceived benefit, perceived risk, and reuse intention. Furthermore, the perceived benefit directly influence reuse intention. Besides, this research confirmed that the perceived benefits partially mediate the relationship of trust in the intention of reuse. Nevertheless, the perceived risk does not influence reuse intention.

Keywords


Perceived benefit; perceived risk; reuse intention; trust

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References


Ben Mansour, Kaouther. 2016. An analysis of business’ acceptance of internet banking: an integration of e-trust to the TAM. Journal of Business and Industrial Marketing, 31(8), pp. 982–94.

Böcker, Andreas and Giuseppe Nocella. 2006. A Critical Account of the Relationship between Institutional Trust, Risk Perception, and Technology Acceptance with an Application to Genetically Modified Foods A Critical Account of the Relationship between Institutional Trust, Risk Perception, and T. pp. 274–83 in EAAE Seminar Trust and Risk in Business Network.

Chanchai, Carmine Sellitto, and Michelle W. L. Fong. 2016. A Comparative Study of Current and Potential Users of Mobile Payment Services. SAGE Open, 6(4), pp. 1–13.

Chang, Hsin Hsin and Su Wen Chen. 2008. The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator. Online Information Review 32(6), pp. 818–41.

Chemingui, Hella and Hajer Ben Lallouna. 2013. Resistance, motivations, trust, and intention to use mobile financial services. International Journal of Bank Marketing, 31(7), pp.574–92.

Chen, Xiaogang, Darrell Carpenter, Xue Li, Charlie C. Chen, and Shin-Yuan Hung. 2018. Why do Individuals Continue Using Mobile Payments – A Qualitative Study in China. pp. 1452–61 in Hawaii International Conference on System Sciences. Vol. 9.

Chen, Xiaogang and Shaorui Li. 2017. Understanding continuance intention of mobile payment services: An empirical study. Journal of Computer Information Systems, 57(4), pp. 287–98.

Deningtyas, Fika and Maya Ariyanti. 2017. Factors Affecting the Adoption of E-Payment on Transportation Service Application Using Modified Unified Technology of Acceptance and Use of Technology 2 Model. pp. 38–43 in proceedings of Academics World 64th International Conference, Putrajaya, Malaysia.

Emmanuel. 2014. Consumer Adoption in Mobile Wallet: A Study of Consumers in Finland. Turku University Of Applied Sciences International.

Gao, Lingling and Kerem Aksel Waechter. 2017. Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation. Information Systems Frontiers, 19(3), pp. 525–48.

Hair, F., Tomas M, Christian R, and Kennesaw. 2015. A primer on partial least squares structural equation modeling (PLS-SEM). International Journal of Research & Method in Education, 38(2), pp. 220– 21.

Hoehle, Hartmut and Sid Huff. 2012. The Role of Continuous Trust in Information Systems Continuance. Summer Journal of Computer Information Systems 1, pp. 1–9.

Humbani, Michael. 2018. Consumers’ Adoption And Continuance Intention To Use Mobile Payment Services. University of Pretoria.

Kesharwani, Ankit and Shailendra Singh Bisht. 2012. The impact of trust and perceived risk on internet banking adoption in India: An extension of technology acceptance model. International Journal of Bank Marketing, 30(4), pp. 303–22.

Khadir, Mohammed and Mustapha Belaissaoui. 2017. The End-User Continuance Intention with an Open Source ERP/ : A Proposal for an Integrated Model. International Journal of Computer Science and Mobile Computing, 6(6), pp. 448–56.

Kim, Dan J., Donald L. Ferrin, and H. Raghav Rao. 2003. An Investigation of Consumer Online Trust and Purchase-Repurchase Intentions. pp. 353–65 in Twenty-Fourth International Conference on Information Systems. Vol. 35.

Kim, Dan J., Donald L. Ferrin, and H. Raghav Rao. 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), pp. 544–64.

Li, Yuping. 2016. Empirical Study of Influential Factors of Online Customers’ Repurchase Intention. iBusiness, 08(03), pp. 48–60.

Liu, Matthew Tingchi, James L. Brock, Gui Cheng Shi, Rongwei Chu, and Ting Hsiang Tseng. 2013. Perceived benefits, perceived risk, and trust: Influences on consumers’ group buying behaviour. Asia

Mortimer, Gary, Syed Fazal e Hasan, Lynda Andrews, and Jillian Martin. 2016. Online grocery shopping: the impact of shopping frequency on perceived risk. International Review of Retail, Distribution, and Consumer Research, 26(2), pp. 202–23.

Pei, Yanli, Shan Wang, Jing Fan, and Min Zhang. 2015. An empirical study on the impact of perceived benefit, risk, and trust on E-payment adoption: Comparing quick pay and union pay in China. Proceedings - 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015 2, pp. 198–202.

Pramesthi, Febriana. 2013. Efek Perceived Ease Of Use and Confirmation Terhadap Anteseden Online Repurchase Intention. Fokus Manajerial, 12(1), pp. 81–91.

Phonthanukitithaworn, C., C. Sellitto, and Michelle W. L. Fong. 2016. A Comparative Study of Current and Potential Users of Mobile Payment Services. SAGE Open,6(4), pp. 1–13.

Pramesthi, Febriana. 2013. Efek Perceived Ease Of Use and Confirmation Terhadap Anteseden Online Repurchase Intention. Fokus Manajerial, 12(1), pp. 81–91.

Putri, Dianty Anggraini, Listyo Dwi Harsono, and Indrawati. 2017. The Use of Modified Unified Theory of Acceptance and Use of Technology 2 Model to Analyze Factors Influencing Continuance Intention of E-Payment Adoption ( A Case Study of Go-Pay from Indonesia). International Journal of Science and Research,6(11), pp. 1322–26.

Shan, Siqing, Fan Hua, and Qinqin Zeng. 2010. B2C ecommerce consumer decision-making model based on perceived benefit and perceived risk. Proceedings of the International Conference on E-Business and E-Government, ICEE 2010 10:2222–25.

Shuhidan, Shuhaida Mohamed, Saidatul Rahah Hamidi, and Intan Syazwani Saleh. 2017. Perceived Risk towards Mobile Banking: A case study of Malaysia Young Adulthood. IOP Conference Series: Materials Science and Engineering, 226(1).

Sullivan, Yulia W. and Dan J. Kim. 2018. Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments. International Journal of Information Management, 39(December 2017), pp. 199–219.

Tanadi, Trisna, Behrang Samadi, and Behrooz Gharleghi. 2015. The Impact of Perceived Risks and Perceived Benefits to Improve an Online Intention among Generation-Y in Malaysia. Asian Social Science, 11(26), pp. 226–38.

Wen, Chaowen, Victor R. Prybutok, and Chenyan Xu. 2011. An integrated model for customer online repurchase intention. Faculty Research & Creative Activity, 52(1), pp. 14–23.

Wu, Jiming and De Liu. 2007. The Effects of Trust and Enjoyment on Intention to Play Online Games. Journal of Electronic Commerce Research, 8(2), pp. 128– 40.

Zhang, Lingying, Lu Long, Yingcong Xu, and Wojie Tan. 2013. Influences of perceived factors on consumer purchasing behavior: In the perspective of online shopping capability of consumers. Research Journal of Applied Sciences, Engineering, and Technology, 5(24), pp. 8632–38.

Zhao, Lifen A., Nicole Koenig-Lewis, Stuart HanmerLloyd, and Philippa Ward. 2010. Adoption of internet banking services in China: Is it all about trust?. International Journal of Bank Marketing, 28(1), pp. 7–26.




DOI: http://dx.doi.org/10.21776/ub.jam.2020.018.04.07

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