Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application

Martins, Carolina; Oliveira, Tiago; Popovič, Aleš

doi:10.1016/j.ijinfomgt.2013.06.002

Cited by 1,059 publications

(1,098 citation statements)

References 36 publications

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“…Venkatesh et al (2003) suggested that social influence is important at the early stages of technology experience, with the effect diminishing over time. Our results are different from those of previous research (e.g., Moore & Benbasat, 1991;Venkatesh & Davis, 2000;AbuShanab & Pearson, 2007;Martins et al, 2014), because our sampling targets are experienced users. Researchers have indicated that people emphasize on various benefits when using a VC to search for cosmetic products (e.g., Athiyaman, 2002;Dholakia, Bagozzi, & Pearo, 2004).…”

Section: Discussioncontrasting

confidence: 99%

“…In addition, previous researchers found that social influence positively affects behavioral intention to use new technology (e.g., Moore & Benbasat, 1991;Venkatesh & Davis, 2000;AbuShanab & Pearson, 2007;Martins et al, 2014). However, the influencing effects of social influence on VC re-usage intention are negative in our study.…”

Section: Discussioncontrasting

confidence: 80%

“…Previous researchers claimed that these three constructs are significant in affecting individuals' behavioral intention to use new technology in different fields (e.g., Moore & Benbasat, 1991;Venkatesh & Davis, 2000;AbuShanab & Pearson, 2007;Martins et al, 2014). Following the previous propositions, this study proposes the following hypotheses:…”

Section: Relationship Between Predictors and Vc Re-usage Intentionmentioning

confidence: 83%

“…Hale, Householder, and Greene (2002) posited that the strongest or most proximal predictor of volitional behavior is one's behavioral intention. A central factor in the UTAUT is one's intention to perform a volitional behavior, which has been hypothesized and verified to mediate the effects of performance expectancy, effort expectancy, and social influence on behavior by many studies (e.g., AbuShanab & Pearson, 2007;Martins, Oliveira, & Popovič, 2014). In using VC promotion for the cosmetics industry, understanding users' re-usage intentions rather than their usage intention is more important.…”

Section: Methodsology Research Modelmentioning

confidence: 99%

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Factors Affecting Re-usage Intentions of Virtual Communities Supporting Cosmetic Products

Yang

Chen

2017

IJIKM

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Aim/PurposeThis study uses a cosmetic virtual community (VC) as the research context and the UTAUT model as the theoretical structure aim to explore factors affecting the re-usage intentions of VC members. BackgroundThe Internet use rate of VC was up to 50%, thereby implying that VC gained the attention of Internet users. Therefore, operating a VC will be an effective way to communicate with customers. However, to maintain an existing member is more efficient than creating a new one. As such, understanding determinants of VC members' re-use intentions becomes important for firms. MethodologyThrough an online survey, 276 valid responses were gathered. The collected data were examined by performing confirmatory factor analysis, structural equation modelling procedures, as well as the moderator analysis. ContributionThis study shows the importance in the context of online cosmetics-related VC, which was rarely explored before. We provide issues for future research, despite the accumulated academic literature related to UTAUT and VC. Findings Results show that only performance expectancy and social influence significantly affecting re-usage intentions and only gender has moderating effects on the path from performance expectancy to VC re-use intention and from trust to VC re-use intention. Recommendations for PractitionersThis study found that users emphasized performance expectancy most of all. A cosmetic product-related VC should introduce products abundantly, offer useful information, and help people accomplish tasks quickly and productively. Re-usage Intentions of Virtual Communities 18 Recommendation for ResearchersFuture researchers may use our findings to conduct further positivist research in the area of social influence using different subjects and research contexts.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussioncontrasting

confidence: 80%

Section: Relationship Between Predictors and Vc Re-usage Intentionmentioning

confidence: 83%

Section: Methodsology Research Modelmentioning

confidence: 99%

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Factors Affecting Re-usage Intentions of Virtual Communities Supporting Cosmetic Products

Yang

Chen

2017

IJIKM

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“…In its original and extended forms, the UTAUT has had a significant influence on academic scholarship examining information systems and computer software (Marchewka et al 2007), mobile telephony and smart applications (Gurtner et al 2014;Park et al 2007), collaborative technology and networks (Lin et al 2008), health information and healthcare (Kijsanayotin et al 2009;Holden et al 2010), education and learning (Chiu et al 2008), internet practices and online banking (Martins et al 2014;Zhou et al 2010), and even tourism (Martin et al 2012;EscobarElectric Mobility 20 Rodríguez et al 2014). Systematic reviews and meta-analyses have also tended to affirm the theory's explanatory power (Lee et al 2003;Legris et al 2003;King et al 2006;Bagozzi 2007).…”

Section: Unified Theory Of Acceptance and Use Of Technologymentioning

confidence: 99%

Experts, theories, and electric mobility transitions: Toward an integrated conceptual framework for the adoption of electric vehicles

Sovacool

2017

Energy Research & Social Science

108

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I expand and integrate a theory of mobility (Automobility) with one of science and technology (Actor Network Theory) and one about social acceptance and user adoption (UTAUT).I apply this integrative framework to the diffusion (and non-diffusion) of electric vehicles and the process of electric mobility. I begin by presenting my methods, namely semi-structured qualitative research interviews with social theorists. Then, I present the three theories deemed most relevant by respondents. Automobility holds that, on a cultural or social level, automobiles exist as part of a complex, one that involves hardware and infrastructure-a hybridity between drivers and machines-along with patterns of identity and attitudes about driving pleasure. Actor Network Theory (ANT) involves the concepts of network assemblage, translation, enrollment, and actants and lieutenants. The Unified Theory of Acceptance and Use of Technology, or UTAUT, states that on an individual level, the adoption of new technologies will be predicated on interconnected factors such as performance expectancy, effort expectancy, and other facilitating conditions.Based largely on the original interview data supplemented with peer-reviewed studies, I propose a conceptual framework of user acceptance consisting of motile pleasure, sociality, sociotechnical commensurability, and habitual momentum. I conclude with implications for research and policy.

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Applications of Digital Technologies and Artificial Intelligence in Cryptocurrency ‐ A Multi‐Dimensional Perspective

Jaisingh,

Preethi,

Kavitha

2023

Fintech and Cryptocurrency

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Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application

Cited by 1,059 publications

References 36 publications

Factors Affecting Re-usage Intentions of Virtual Communities Supporting Cosmetic Products

Factors Affecting Re-usage Intentions of Virtual Communities Supporting Cosmetic Products

Experts, theories, and electric mobility transitions: Toward an integrated conceptual framework for the adoption of electric vehicles

Applications of Digital Technologies and Artificial Intelligence in Cryptocurrency ‐ A Multi‐Dimensional Perspective

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