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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

User acceptance of wearable devices

TL;DR: A research model for analyzing customers' perceived value of wearable devices is developed and perceived benefit-including perceived usefulness, enjoyment, and social image-seems to have a greater impact on perceived value than perceived risk.
Journal ArticleDOI

Technology readiness and the evaluation and adoption of self-service technologies

TL;DR: In this paper, the authors investigated the effects of technology readiness on customers' attitudes towards using self-service check-in for airline check-ins, adoption, and evaluations of a new selfservice check in on the Internet, in terms of perceived service quality, satisfaction and loyalty.
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Understanding the Influence of Perceived Usability and Technology Self-Efficacy on Teachers' Technology Acceptance.

TL;DR: In this article, the authors extended the TAM model to incorporate teachers' perceived usability and self-efficacy measures toward the technologies they are currently using, and found that the incorporation of perceived usability into the TAM explained more variance and was more influential to TAM elements than its absence, thereby supporting the importance, positive influence and necessity of evaluating usability when investigating educational technology acceptance and usage behavior.
Journal ArticleDOI

Designing website attributes to induce experiential encounters

TL;DR: The results presented here support the proposal that, as an information-laden medium, a successful website must be able to use its attributes to satisfy both the information and entertainment needs of users.
Journal ArticleDOI

Predicting the intention to use consumer-generated media for travel planning

TL;DR: In this paper, the intention to use consumer-generated media for travel planning by introducing new factors into the conventional TAM and using a partial least squares' estimation was investigated using an online survey of travel consumers.
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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