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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

The nature and components of perceived behavioural control as an element of theory of planned behaviour

TL;DR: Both components of one's belief in one's level of control (internal factors: SE; external factors: resources, technology and GS) are important, however, which factors have the greatest effect on PBC might be related to the type of innovation or to other factors.
Journal ArticleDOI

A literature review of theoretical models of Internet banking adoption at the individual level

TL;DR: In this article, the authors review the IB literature through the lenses of nine adoption theories and conclude that IB adoption is a complex and multifaceted process, and a joint consideration of customers' personal, social, psychological, utilitarian and behavioral aspects is more important than adoption itself and will ultimately result in the intended behaviour.
Journal ArticleDOI

Determinants of customers' intentions to use hedonic networks: The case of Instagram

TL;DR: In this article, a specific model that examines the impact of hedonic technology, such as Instagram, and integrates for the purpose some social factors is developed, which confirm the positive effect of perceived pleasure, social identity, and perceived ease of use on intention to use Instagram.
Journal ArticleDOI

Predicting adoption of biological control among Iranian rice farmers: An application of the extended technology acceptance model (TAM2)

TL;DR: An extended version of the technology acceptance model (TAM) that combined innovation diffusion theory, perceived self-efficacy, facilitating conditions, and facilitating conditions to investigate factors affecting farmers' acceptance and use of BC for the control of rice stem borer in Mazandaran province in northern Iran is implemented.
Journal ArticleDOI

Effects of employees' perceived dependability on success of enterprise applications in e-business

TL;DR: This paper attempts to extend this kind of concept, perceived dependability, into DeLone and McLean's IS success model to explore how it influences success of enterprise applications and can help practitioners and managers get deep insights into how to implement e-business successfully.
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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