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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 virtual worlds: the Hedonic framework

TL;DR: A theoretical framework is developed that recognizes the potential of imaginal and emotional responses in explaining user acceptance of virtual worlds and may benefit the developers and sponsors of virtual Worlds as they strive to build and sustain a customer base.
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Exploring students' awareness and perceptions

TL;DR: Perceived usefulness and perceived ease of use were found to be the primary factors driving students' intentions to use m-learning and bothm-learning services and social influence have positive effects on the acceptance of m- learning, while mobile limitations were foundto be the main obstacle restraining students' participation in a m- Learning environment.
Journal ArticleDOI

Social influence process in the acceptance of a virtual community service

TL;DR: This study unveils how social factors including subjective norms, social identity, and tendency to social comparison affect behavioral intention to use a specific service from virtual communities and aids managers and academics to further understand the social nature of customer behavior with regard to using virtual community services.
Journal ArticleDOI

User acceptance of media tablets

TL;DR: Perceived benefits including perceived usefulness, perceived enjoyment, and social image seem to have a greater impact than the level of perceived sacrifice on perceived value, which is the strongest factor determining adoption intention through perceived value.
Journal ArticleDOI

Knowledge-sharing motivations affecting R&D employees' acceptance of electronic knowledge repository

TL;DR: A technology acceptance model (TAM) to investigate the influence of extrinsic and intrinsic motivations on R&D employees' acceptance of an EKR for knowledge-sharing found reputation and reciprocity were found to be two important antecedents to perceived usefulness and perceived ease of use.
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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