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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

Profiting from Knowledge Management: The Impact of Time and Experience

TL;DR: It is found that KMS had significant positive impacts on individual performance and that these performance benefits grew over time, and experience moderated the relationship between KMS use and individual performance.
Journal ArticleDOI

Cognitive heuristics in software engineering applying and extending anchoring and adjustment to artifact reuse

TL;DR: There is strong evidence that developers tend to use the extraneous functionality in the artifacts they are reusing and some evidence of anchoring to errors and omissions in reused artifacts.
Journal ArticleDOI

Examining the antecedents and consequences of perceived shopping value through smart retail technology

TL;DR: In this paper, the antecedents and consequences of perceived shopping value through smart retail technology were examined, and it was shown that perceived complexity, perceived advantage, perceived novelty and perceived risk of using smart retail technologies determine consumers' perceived shopping values, which, in turn, influences their store loyalty and intentions to adopt smart retail devices.
Journal ArticleDOI

Choosing between the theory of planned behavior (TPB) and the technology acceptance model (TAM)

TL;DR: In this paper, three hypothesized models were examined using factor-based partial least squares structural equation modeling, which can account for measurement errors and is thus more robust than regression-based PLS-SEM.
Journal ArticleDOI

Human cadavers Vs. multimedia simulation: A study of student learning in anatomy

TL;DR: Concerns that incorporating multimedia simulation into anatomy instruction requires careful alignment between learning tasks and performance measures are reinforced, suggesting that additional pedagogical strategies are needed to support transfer from simulated to real‐world application of anatomical knowledge.
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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