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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

An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model

TL;DR: In this paper, the authors investigate the relationship between antecedents including information system quality, perceived value, and users' acceptance of hotel front office systems (HFOSs) by adopting an extended technology acceptance model (TAM).
Journal ArticleDOI

Moderating Effects of Task Type on Wireless Technology Acceptance

TL;DR: This study proposes a unified conceptual model for wireless technology adoption and postulates that, under the mobile context, user intention to perform general tasks that do not involve transactions and gaming is influenced by perceived usefulness and perceived ease of use.
Journal ArticleDOI

Conceptualizing and Testing a Social Cognitive Model of the Digital Divide

TL;DR: A model is developed to show how the digital access divide affects the digital capability divide and the digital outcome divide among students, and generates insights into the relationships among the three levels of the digital divide.
Journal ArticleDOI

Mobile application usability: conceptualization and instrument development

TL;DR: This paper presented a mobile application usability conceptualization and survey instrument following the 10- step procedure recommended by MacKenzie et al. (2011), and found that the constructs that represented the conceptualization were good predictors of both outcomes and compared favorably to an existing instrument based on Microsoft's usability guidelines.
Journal ArticleDOI

Discovering unobserved heterogeneity in structural equation models to avert validity threats

TL;DR: In this paper, the authors proposed a new method, Prediction-Oriented Segmentation (PLSPOS), to overcome the limitations of FIMIX-PLS and other distance measure-based methods.
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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