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Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology
TLDR
In this paper, the authors extended the unified theory of acceptance and use of technology (UTAUT) to study acceptance of technology in a consumer context and proposed UTAUT2 incorporating three constructs into UTAAUT: hedonic motivation, price value, and habit.Abstract:
This paper extends the unified theory of acceptance and use of technology (UTAUT) to study acceptance and use of technology in a consumer context. Our proposed UTAUT2 incorporates three constructs into UTAUT: hedonic motivation, price value, and habit. Individual differences — namely, age, gender, and experience — are hypothesized to moderate the effects of these constructs on behavioral intention and technology use. Results from a two-stage online survey, with technology use data collected four months after the first survey, of 1,512 mobile Internet consumers supported our model. Compared to UTAUT, the extensions proposed in UTAUT2 produced a substantial improvement in the variance explained in behavioral intention (56 percent to 74 percent) and technology use (40 percent to 52 percent). The theoretical and managerial implications of these results are discussed.read more
Citations
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Technological innovativeness and information quality as neoteric predictors of users’ acceptance of learning management system: An expansion of UTAUT2
TL;DR: In insights and further understanding of the effect of predictors (original and additive) on users’ acceptance of e-learning management system, the UTAUT2 model is expanded by adding neoteric predictors, which are technological innovation and information quality.
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Click and drive: Consumer attitude to product development: Towards future transformations of the driving experience
TL;DR: How applications of the IoT to smart vehicles are perceived by consumers and describe different ways to increase their satisfaction are investigated to fully exploit the value potential of Internet of Things technologies in the automotive industry.
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The students’ readiness to engage with mobile learning apps
TL;DR: There were strong correlations between the students’ perceived usefulness of the mobile technologies and their behavioral intention to use them for their learning and there was no significant relationship between the perceived ease of use and the children’s enjoyment in engaging with the educational apps that were used at school.
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The PLS agent: Predictive modeling with PLS-SEM and agent-based simulation
TL;DR: This research includes an empirical application of the well-known technology acceptance model, which extends the PLS path model's predictive capability from the individual level to the population level by modeling the diffusion process in a consumer network.
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A methodology to support the adoption of IoT innovation and its application to the Italian bank branch security context
TL;DR: The authors are encouraged by the results that indicate a high likelihood of success to trial an IoT introduction to banking security and the IoT adoption model proposed reflects the current state of knowledge in the field and could be extended to other organizational at-risk areas requiring continuity of highly effective protection.
References
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TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
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User acceptance of information technology: toward a unified view
TL;DR: The Unified Theory of Acceptance and Use of Technology (UTAUT) as mentioned in this paper is a unified model that integrates elements across the eight models, and empirically validate the unified model.
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A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
TL;DR: In this paper, the authors developed and tested a theoretical extension of the TAM model that explains perceived usefulness and usage intentions in terms of social influence and cognitive instrumental processes, which was tested using longitudinal data collected regarding four different systems at four organizations (N = 156), two involving voluntary usage and two involving mandatory usage.