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Open AccessJournal ArticleDOI

Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model

TLDR
This work presents and tests an anchoring and adjustment-based theoretical model of the determinants of system-specific perceived ease of use, and proposes control, intrinsic motivation, and emotion as anchors that determine early perceptions about the ease ofuse of a new system.
Abstract
Much previous research has established that perceived ease of use is an important factor influencing user acceptance and usage behavior of information technologies. However, very little research has been conducted to understand how that perception forms and changes over time. The current work presents and tests an anchoring and adjustment-based theoretical model of the determinants of system-specific perceived ease of use. The model proposes control (internal and external--conceptualized as computer self-efficacy and facilitating conditions, respectively), intrinsic motivation (conceptualized as computer playfulness), and emotion (conceptualized as computer anxiety) as anchors that determine early perceptions about the ease of use of a new system. With increasing experience, it is expected that system-specific perceived ease of use, while still anchored to the general beliefs regarding computers and computer use, will adjust to reflect objective usability, perceptions of external control specific to the new system environment, and system-specific perceived enjoyment. The proposed model was tested in three different organizations among 246 employees using three measurements taken over a three-month period. The proposed model was strongly supported at all points of measurement, and explained up to 60% of the variance in system-specific perceived ease of use, which is twice as much as our current understanding. Important theoretical and practical implications of these findings are discussed.

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Journal ArticleDOI

Development of a health information technology acceptance model using consumers' health behavior intention.

TL;DR: It was showed that perceived threat, perceived usefulness, and perceived ease of use significantly affected health consumers’ attitude and behavioral intention.
Journal ArticleDOI

Why Do People Watch Others Play Video Games? An Empirical Study on the Motivations of Twitch Users

TL;DR: The study lays groundwork for understanding the motivations to consume this emerging form of new media in the context of online games and video streams by examining five distinct types of motivations: cognitive, affective, personal integrative, social integrative and tension release.
Journal ArticleDOI

Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model

TL;DR: The TAM has been extended by the aforementioned factors to examine the students’ acceptance of e-learning in five different universities in the United Arab of Emirates (UAE), and it indicated that system quality, computer self-efficacy, and computer playfulness have a significant impact on perceived ease of use of E-learning system.
Journal ArticleDOI

Why do people watch others play video games? An empirical study on the motivations of Twitch users

TL;DR: In this article, the authors examined five distinct types of motivations from the uses and gratifications perspective: cognitive, affective, personal integrative, social integrative and tension release.
Journal ArticleDOI

The role of affect and cognition on online consumers' decision to disclose personal information to unfamiliar online vendors

TL;DR: It is found that, initial emotions formed from an overall impression of a Web site act as initial hurdles to information disclosure and once online consumers enter the information exchange stage, fairness-based levers further adjust privacy beliefs.
References
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Journal ArticleDOI

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.

Perceived Usefulness, Perceived Ease of Use, and User

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
Journal ArticleDOI

Perceived usefulness, perceived ease of use, and user acceptance of information technology

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
Book

Judgment Under Uncertainty: Heuristics and Biases

TL;DR: The authors described three heuristics that are employed in making judgements under uncertainty: representativeness, availability of instances or scenarios, and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available.
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