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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.

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Work and Organizational Psychology Looks at the Fourth Industrial Revolution: How to Support Workers and Organizations?

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Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction

TL;DR: The study’s findings suggest that the convenience value has the highest impact on users’ continued intention to use streaming services, followed by perceived enjoyment, and the addiction to heavy viewing due to the use of streaming services by users has new social implications.
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Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making

TL;DR: The authors developed an integrated AI acceptance-avoidance model (IAAAM) to consider both the positive and negative factors that collectively influence managers' attitudes and behavioral intentions towards using AI.
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Do Individual Characteristics Influence the Types of Technostress Reported by Workers

TL;DR: The results indicate that workers’ demographic characteristics relate to one another differently and specifically with the various forms of manifestation of technostress, which is related to the most varied types of disorders in workers and losses in organizations.
References
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Book

Statistical Power Analysis for the Behavioral Sciences

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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The theory of planned behavior

TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.
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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.
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