Investigating mobile acceptance in academic library services based on Unified Theory of Acceptance and Use of Technology Model (UTAUT-2)

Parhamnia, Farshad

doi:10.1016/j.acalib.2022.102570

Cited by 14 publications

(7 citation statements)

References 43 publications

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“…In this study, the authors utilise variables contained in the Unified Theory of Acceptance and Use of Technology (UTAUT): performance expectancy, effort expectancy, social influence, facilitating condition, behaviour intention to use the zakat payment platform and use behaviour zakat payment platform (Donmez-Turan, 2020; Kasri & Yuniar, 2021;Nair et al, 2015;Parhamnia, 2022;Philippi et al, 2021;Ronaghi & Forouharfar, 2020) . There are distinctions and similarities in this research with studies prior.…”

Section: Introductionmentioning

confidence: 99%

Technology acceptance of zakat payment platform: An analysis of modified of unified theory of acceptance and use of technology

Nuryahya

Mahri

Nurasyiah

et al. 2022

al-Uqud

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This study aimed to determine and analyse the factors that affect a zakat payer receiving and using the zakat platform to pay the zakat. A total of 264 self-administered questionnaires were distributed to respondents who have been paid zakat with the platform. The data were analysed using variance-based structural modelling (PLS-SEM) to examine the hypothesised relationships. The results show that performance expectations and social influence positively and significantly affect behavioural intentions. Facility conditions and behavioural intention have influenced positive and significant impacts on the behaviour of using the online zakat payment platform. Furthermore, this is caused by the trust of zakat payers against online zakat payment platforms that afford to pay zakat faster completion when compared to paying zakat offline. It is also supported by encouragement from the surrounding environment of zakat payers such as: family, work colleagues, community and charity organisations who use the online zakat payment platform.

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Section: Introductionmentioning

confidence: 99%

Technology acceptance of zakat payment platform: An analysis of modified of unified theory of acceptance and use of technology

Nuryahya

Mahri

Nurasyiah

et al. 2022

al-Uqud

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“…This approach aided the current study in exploring the relationships between user experience elements and user behavior after constructing an evaluation scale for "Generation Z" consumers regarding virtual try-on services, thereby clarifying users' psychological and behavioral processes. Although numerous other information system theories exist, such as UTAUT 2 and TAM, these models are overly specific and predefine certain features of information systems, such as usefulness, ease of use, playfulness, and social influence [51]. This study could not confirm that these elements would necessarily be present in the virtual try-on experience evaluation scale for "Generation Z" consumers.…”

Section: Stimulus-organism-response (S-o-r) Theory Frameworkmentioning

confidence: 67%

A Study on the Willingness of “Generation Z” Consumers to Use Online Virtual Try-On Shopping Services Based on the S-O-R Framework

Wang,

Jiang

2024

Systems

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Virtual try-on services, which significantly reduce return rates and enhance user shopping experiences, pose a crucial question: how can user willingness to use these services be increased? Additionally, “Generation Z” consumers, known for their unique traits and significant consumption potential, have been relatively understudied in this context. To address this theoretical gap, this study employs the Stimulus–Organism–Response (S-O-R) theory as its research framework, using online virtual shoe try-on services as a case study. Focusing on “Generation Z” consumers, this study utilizes literature review, user research, factor analysis, and linear regression to establish a user experience evaluation scale and behavior model. The user experience evaluation scale identifies positive elements such as convenience, price value, visual information acquisition, emotional value, and social interaction. The negative elements include technical limitations, personalized service deficiencies, and uncertainty. In the behavior model, all elements influence user attitudes. Notably, only the negative elements directly affect users’ willingness to use the service, except social interaction among the positive elements, which positively impacts usage intention. This study also reveals that “Generation Z” consumers have novel requirements for social interaction. This research effectively addresses existing theoretical gaps and provides a foundational theory for the development of related services and technologies.

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“…2.1 Unified theory of acceptance and use of technology Numerous frameworks, such as technology acceptance model (TAM), theory of planned behavior (TPB) and innovation diffusion theory, have been established to examine the process by which individuals embrace and intend to use a novel technology (Parhamnia, 2022). These frameworks draw from the theory of reasoned action (Fishbein and Ajzen, 2011), which asserts that users' decisions are influenced by reasoned assessments of their anticipated outcomes, underscoring the importance of their personal beliefs in shaping these expectations (Raffaghelli et al, 2022).…”

Section: Theoretical Background and Research Hypothesesmentioning

confidence: 99%

How effort expectancy and performance expectancy interact to trigger higher education students’ uses of ChatGPT for learning

Duong,

Bui,

Pham

et al. 2023

ITSE

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Purpose The emergence of artificial intelligence technologies, like ChatGPT, has taken the world by storm, particularly in the education sector. This study aims to adopt the unified theory of acceptance and use of technology to explore how effort expectancy (EEC) and performance expectancy (PEE) individually, jointly, congruently and incongruently affect higher education students’ intentions and actual uses of ChatGPT for their learning. Design/methodology/approach An advanced methodology – polynomial regression with response surface analysis – and a sample of 1,461 higher education students recruited in Vietnam through three-phase stratified random sampling approach were adopted to test developed hypotheses. Findings Both EEC and PEE were found to have a direct positive impact on the likelihood of higher education students’ intention to use ChatGPT, which in turn promotes them actually use this tool for learning purposes. Conversely, a large incongruence between EEC and PEE will lower the level of intentions and actual uses of ChatGPT for learning. However, when there is a growing incongruence between EEC and PEE, either in a positive or negative direction, the likelihood of students’ intentions to use ChatGPT for learning decreases. Practical implications Some practical implications are subsequently recommended to obtain advantages and address potential threats arising from the implementation of this novel technology in the education context. Originality/value This study shed the new light on the educational setting by testing how higher education students’ intentions to use ChatGPT and subsequent actual uses of ChatGPT are synthesized from the balance between high EEC and PEE.

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Investigating mobile acceptance in academic library services based on Unified Theory of Acceptance and Use of Technology Model (UTAUT-2)

Cited by 14 publications

References 43 publications

Technology acceptance of zakat payment platform: An analysis of modified of unified theory of acceptance and use of technology

Technology acceptance of zakat payment platform: An analysis of modified of unified theory of acceptance and use of technology

A Study on the Willingness of “Generation Z” Consumers to Use Online Virtual Try-On Shopping Services Based on the S-O-R Framework

How effort expectancy and performance expectancy interact to trigger higher education students’ uses of ChatGPT for learning

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