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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 Communications of the Association for Information Systems

TL;DR: It is hoped that HCI studies can provide the evolution of the human centered technology development that enhances the authors' work/job, their various needs, their organizations, their societies, and ourselves.
Journal ArticleDOI

Understanding the Intrinsic Motivations of User Acceptance of Hedonic Information Systems: Towards a Unified Research Model

TL;DR: A hybrid HIS acceptance model is proposed that considers the unique characteristics of HIS and the multiple conceptual identities of an HIS user and integrates intrinsic motivation factors from Hedonic theory, Flow theory, and the PAD emotion model with the Technology Acceptance Model.
Journal Article

Predicting Software Self Efficacy among Business Students: A Preliminary Assessment

TL;DR: The results indicate significant differences in software self-efficacy among students with different majors, amounts of computerrelated experience, family income levels, and computer anxiety levels, however no clear patterns are discernable.
Journal ArticleDOI

Exploring the emotional antecedents and outcomes of technology acceptance

TL;DR: The findings indicate that Internet acceptance is related to social inclusion and the fulfilment of three types of psychological needs derived from Self-Determination Theory.
Journal ArticleDOI

Understanding the impact of BIM on collaboration: a Canadian case study

TL;DR: In this paper, the impact of BIM on collaboration in the architecture, engineering and construction industry is investigated through a longitudinal case study of a large design-build project in Canada and five cognitive determinants identified from the analysis are seen to inform an individual's framing of event patterns in BIM-enabled collaboration: requirements, expectations, intentions, incentives and capabilities.
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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