2021
DOI: 10.25105/jmpj.v14i1.8212
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Factor affecting the use of e-money in millennial generation: Research model UTAUT 2

Abstract: <p>This study aims to determine the factors that influence users in using electronic money in transactions. The Unified Theory of Acceptance and Use of Technology (UTAUT) is used as a research model with independent variables: performance expectations, facility conditions, social influence, expectations, perceived values, habits, beliefs, and hedonic motivation. The dependent variable in this study is actual use and interest to be used as a mediator variable. This research method uses an online survey me… Show more

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Cited by 11 publications
(16 citation statements)
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References 39 publications
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“…The results of the research conducted are commensurate with the research conducted by Alfanzi & Daulay (2021); Gupta et al (2017); Onibala et al (2021); Pertiwi & Ariyanto (2017); Rahardjo et al (2020); Tak & Panwar (2017) show that the higher the habit, the higher the interest in using e-money will be.…”
Section: Effect Of Habit On Intention In Using E-money In Surakartasupporting
confidence: 77%
“…The results of the research conducted are commensurate with the research conducted by Alfanzi & Daulay (2021); Gupta et al (2017); Onibala et al (2021); Pertiwi & Ariyanto (2017); Rahardjo et al (2020); Tak & Panwar (2017) show that the higher the habit, the higher the interest in using e-money will be.…”
Section: Effect Of Habit On Intention In Using E-money In Surakartasupporting
confidence: 77%
“…Similar results were seen by Chau et al [67], Nikolopoulou et al [68], and Semiz and Semiz [69]. On the other hand, an empirical study by Handoko [70], and Alfansi and Daulay [71] shows hedonic motivation does not affect behavioral intention. The studies [40,42,47] have also studied the relationship between hedonic motivation and behavioral intention.…”
supporting
confidence: 80%
“…Not only local-scale companies, but companies with national and international reputations also receive criticism and complaints from customers. In line with Alfansi (2012) , the results of research by Aisyiyah et al, (2019) shows that specifically for online shopping consumers, there are four types of complaint behavior, namely passive, voicer, irrate and activist. From the results of mapping complaints, 40% of online shop consumers take public action as a form of voicer (protest) to sellers or service providers, followed by consumers who passive by 34%, irates by 25% and 1% are consumers who make complaints through activists , namely using certain institutions to complain.…”
Section: Introductionmentioning
confidence: 57%
“…Although sellers have tried to convince consumers of their efforts, there are still complaints submitted by online customers in various industries as summarized by Alfansi, (2012) Source : Alfansi (2012) and Lizar Alfansi & Atmaja (2009) Table 1 displays online customer complaints in various industries. The complaints submitted by consumers (customers) through public action amounted to about 1,986 from observations for 223 days, with an average number of complaints as many as 9 complaints reported (Alfansi, 2012). Not only local-scale companies, but companies with national and international reputations also receive criticism and complaints from customers.…”
Section: Introductionmentioning
confidence: 99%