An Analysis of Student’s Behavioral Intention to Use Digital Wallet Using UTAUT Model

Abstract

The aim of study is to analyze the factors that affect the behavioral intention of students to use digital wallet based on unified theory of acceptance and use of technology (UTAUT). The population of research is students of Universitas Negeri Semarang who have used digital wallet. The number of respondents was 155 students. The sampling technique was incidental sampling. We used a questionnaire for data collection. The data analysis technique used was SEM-PLS. The results showed that performance expectancy, facilitating conditions, hedonic motivations, and habits influence behavioral intention significant and positively. Meanwhile, there are no evidence that effort expectancy, social influence, and price value affect student's behavioral intention to use a digital wallet significantly.

Preference Digital Wallet by Generation Z with the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) Model Approach and Perceived Risk

“…In technology acceptance, performance expectancy is a direct determinant of behavioral intention (Abed, 2018). This is supported by the results of the research by Almaiah et al (2019), Indah and Agustin (2019), Savić and Pešterac (2019), Abdullah et al (2020), Piarna et al (2020), Patil et al (2020), Kardoyo et al (2022), Azman and Zabri (2022), Arora et al (2023), andAnwar et al (2023), which provides empirical evidence that performance expectancy has a positive and significant effect on behavioral intention.…”

“…Facilitating conditions are the extent to which individuals or consumers believe that there is an organizational and technical infrastructure to support system use including consumer knowledge, abilities, and resources, and behavioral intention describes the extent to which individuals or consumers tend to use technology (Venkatesh et al, 2012). The results of the research by Almaiah et al (2019), Savić and Pešterac (2019), Abdullah et al (2020), Hidayat et al (2020), Piarna et al (2020), Sukaris et al (2021), Abu Bakar et al (2022), Kardoyo et al (2022), Arora et al (2023), andAnwar et al (2023) provide empirical evidence that facilitating conditions have a positive and significant effect on behavioral intention.…”

Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach

“…It was found that performance expectancy was the primary criterion which influence retailers' behavioral intention to adopt mobile payment apps [39]. The studies [40][41][42][43][44][45][46][47] have also studied the relationship between performance expectancy and behavioral intention. With this backdrop, the following hypotheses were formed: H1: there is no impact of performance expectancy on behavioural intention to use mobile payment applications.…”

“…In research conducted by Alshare and Lane [55], it was revealed that there is a strong relationship between effort expectancy and the behavioral intention of customers. The studies [40][41][42][43][44][45][46][47] have also evaluated the relationship between effort expectancy and behavioral intention. The above discussion led to the formulation of the following hypothesis: H2: there is no impact of effort expectancy on behavioral intention to use mobile payment applications.…”

“…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. This debate urged researchers to formulate the following hypothesis: H5: there is no impact of hedonic motivation on behavioral intention to use mobile payment applications.…”