Factors Influencing the Intention to Use the Common Ticketing System (Spider Card) in Thailand

Prayoonphan, Fasang; Xu, Xiaolin

doi:10.3390/bs9050046

Cited by 13 publications

(11 citation statements)

References 48 publications

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“…On the contrary, Prayoonphan and Xu revealed that SI did not impact passengers' intention to use smartcard ticket in Thailand [47]. Mensah observed interesting results on the study related to e-government services in China.…”

Section: Social Influencementioning

confidence: 93%

Do We Need Trust Transfer Mechanisms? An M-Commerce Adoption Perspective

Sim

Loh

Wong

et al. 2021

JTAER

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This study aimed to provide a comprehensive analysis of the factors that determine and shape consumers’ behavioral intention to adopt mobile commerce (m-commerce). By integrating the core constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT), together with the trust-building mechanisms, this study explored the importance of the institutional mechanisms and their moderating effects between trust in the vendors and intention to adopt m-commerce. Traditionally, the effects of institutional mechanisms on trust and adoption intention have been considered separately in different study contexts. The purpose of this study was to extend the literature by simultaneously exploring two institutional mechanisms that are conceptually highly similar to each other, namely, structural assurance (SA) and perceived effectiveness of e-commerce institutional mechanisms (PEEIM). A self-administered survey was used to collect data, which were analyzed using partial least squares structural equation modelling (PLS-SEM). The results revealed that most of the constructs examined have significant relationships with the intention to adopt m-commerce. Additionally, PEEIM exhibits a significant moderating effect but SA does not. This study delineates how trust-building mechanisms play important roles in increasing consumers’ confidence in order to promote m-commerce adoption.

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Section: Social Influencementioning

confidence: 93%

Do We Need Trust Transfer Mechanisms? An M-Commerce Adoption Perspective

Sim

Loh

Wong

et al. 2021

JTAER

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“…This integrated model is then called the combined theory of technology acceptance and use (UTAUT). [37] The main determinant influences the intended use effect from the perspective of new technology, which can be determined by three constructs including performance expectations, business expectations, and social influence. Performance expectations are defined as the extent to which a person believes that using the system will help them achieve results in job performance [35], while business expectations can be defined as the level of comfort associated with the use of technology by consumers which explains the individual's perception of the level of difficulty or ease of using IT systems [35] as well as being a predictor for individual intentions to use IT [38].…”

Section: Adoption Technology Theorymentioning

confidence: 99%

“…The results showed that most of the UTAUT constructions had a strong positive influence on behavioral intention. Facilitation conditions as one of the determining factors that influence the intention to use Spider Cards and have a positive influence on technology adoption and intentions [39] [37]. In general, UTAUT focuses on the intensity of the use of technology in terms of human behavior.…”

Section: Adoption Technology Theorymentioning

confidence: 99%

The Evolution Adoption Technology Theory for E-Commerce

Haryanti¹,

Subriadi²

2020

IJECS

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The development of technology presents e-commerce as an alternative buying and selling place beside the offline shopping center. The growth of e-commerce globally confirms people's acceptance of e-commerce presence. Various theories of technology acceptance have been formulated to determine the factors that drive technology acceptance. The evolution of technology acceptance theory aims to overcome the problem of technology acceptance from various factors. The acceptance of e-commerce is interesting to learn as a reference to determine the right strategy in the future. This study aims to classify the journey of technology acceptance in e-commerce so that it can show the driving factors for the acceptance of e-commerce in the future. This study uses a literature review approach to the use of UTAUT theory in e-commerce. UTAUT technology acceptance theory is a combination of various previous theories. In general, technology acceptance theory uses an approach that is felt by humans. This study reveals that the technological dimension in resolving humanity is an important factor in technology acceptance. Changes in the e-commerce phase play a role in determining the factors that drive their acceptance of the community. Trust becomes an important factor at the beginning of the introduction phase of e-commerce. Meanwhile, user experience as part of the technological dimension becomes an important factor in the determination phase of e-commerce based on its market. The novelty of this research is to offer the development of technology acceptance factors on UTAUT theory. The practical contribution of research as a reference for management in the preparation of future e-commerce strategies through supporting factors for technology acceptance.

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“…The model includes approximate path coefficients indicating the hypothesized correlation's strength and the R-square value determining the model's predictive strength. Path coefficients (β value and significance) and R-square show how well the data support the hypothesized model [26]. Figure 1 and Table 7 illustrate the structural model results from the PLS-SEM output.…”

Section: Structural Model Assessmentmentioning

confidence: 81%

Roles of career maturity mediating the effects of locus of control and socioeconomic status on career readiness

Sholikah

Muhyadi

2021

IJERE

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<span>This study aimed to analyze students' readiness for careers out of their professions by considering the effect of locus of control and socioeconomic status. Career maturity acted as the variable intervening. The quantitative method was chosen to test the hypothesis. A total of 80 students were selected to be respondents based on purposive sampling. Model testing was done by using PLS-SEM. The findings of this study found that the locus of control influenced student career readiness. Conversely, socioeconomic status had no significant effect on their career readiness. On the other hand, this study's career maturity partially mediates between locus of control and career readiness. Regarding the effect of socioeconomic status on career readiness, career maturity in this study was known to have a role as an explanatory or predictor. This study concluded that if students wanted to improve their career readiness, they should pay attention to the locus of control and achieve career success. This study's results contribute to institutions, educators, students, and counselling, informing that individual career maturity is an effective way to facilitate students' readiness in their career decision-making process. Future studies should adopt essential variables related to career readiness that is not examined in this study.</span>

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Factors Influencing the Intention to Use the Common Ticketing System (Spider Card) in Thailand

Cited by 13 publications

References 48 publications

Do We Need Trust Transfer Mechanisms? An M-Commerce Adoption Perspective

Do We Need Trust Transfer Mechanisms? An M-Commerce Adoption Perspective

The Evolution Adoption Technology Theory for E-Commerce

Roles of career maturity mediating the effects of locus of control and socioeconomic status on career readiness

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