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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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Reliability generalization of perceived ease of use, perceived usefulness, and behavioral intentions

TL;DR: A reliability generalization study was conducted on three widely studied information systems constructs from the technology acceptance model: perceived ease of use, perceived usefulness, and behavioral intentions, which summarizes the reliability coefficients of the scores on a specified scale across studies and identifies the study characteristics that influence the reliability of these scores.
Journal ArticleDOI

Social network for the choice of tourist destination: attitude and behavioural intention.

TL;DR: In this article, the authors investigate how social networks can become the main tool for achieving fast and detailed information for the choice of tourism destination, in order to deeply understand the benefits of these media for promoting tourism destinations in a global perspective, reaching a wider range of potential visitors, and developing ad hoc and marketing strategies with benefits for competitive advantage on the market.
Journal ArticleDOI

Electronic HRM : four decades of research on adoption and consequences

TL;DR: In this paper, the authors provide a review of four decades of research in this area with the aim to provide a summary and integrative framework as a basis for future research, and find that the factors affecting the adoption of e-HRM can be divided into three areas: technology; organization; and people.
Journal ArticleDOI

An empirical investigation into the relationship between computer self-efficacy, anxiety, experience, support and usage

TL;DR: Investigating some key factors thought to affect an individual's use of information technology draws on Bandura's Social Cognitive Theory, Triandis's Theory of Interpersonal Behavior, and the computer anxiety literature to develop its conceptual model and research hypotheses.
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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