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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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The adoption of virtual reality devices: The technology acceptance model integrating enjoyment, social interaction, and strength of the social ties

TL;DR: The results of this study indicate that social interactions and strength of the social ties increase perceived enjoyment, and perceived enjoyment has a more significant effect on intention to use than perceived usefulness, which is the main element of TAM.
Journal ArticleDOI

Living with a Vacuum Cleaning Robot: A 6-month Ethnographic Study

TL;DR: Several factors that promote or hinder the process of adopting a domestic service robot are identified and suggestions to further improve human-robot interactions and the design of functional home robots toward long-term acceptance are made.
Journal ArticleDOI

Predicting the Intention to Use a Web-Based Learning System: Perceived Content Quality, Anxiety, Perceived System Quality, Image, and the Technology Acceptance Model

TL;DR: In this article, a study was conducted to determine the factors affecting blue-collar workers' intention to use a web-based learning system in the pre-implementation phase in the automotive industry, which included factors such as image, perceived content quality, and perceived system quality as additions to the basic model.
Journal ArticleDOI

User behaviour in QR mobile payment system: the QR Payment Acceptance Model

TL;DR: The results show that attitude, innovation and subjective norms are determinants of the future intention to use this technology and provide alternatives for companies to promote this new business by means of the new technical developments.
Journal ArticleDOI

From Prediction to Explanation: Reconceptualizing and Extending the Perceived Characteristics of Innovating

TL;DR: A reconceptualization and refinement of the PCI constructs and an extended theoretical model of their influence on users’ behavior are provided, which provides a more complete picture of the influence of the PCIs.
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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