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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

Social media – based collaborative learning: the effect on learning success with the moderating role of cyberstalking and cyberbullying

TL;DR: In this article, the moderating effect of cyberstalking and cyberbullying on the relationship between students in social media has been discussed, and the role of social media in fostering collaboration and engagement between students is discussed.
Journal ArticleDOI

Understanding User Acceptance of DMB in South Korea Using the Modified Technology Acceptance Model

TL;DR: The empirical results overall support a modified TAM in explaining consumers' behavioral intentions to use/adopt DMB and suggest that perceived availability is positively associated with perceived benefit and the attitude toward DMB.
Journal ArticleDOI

The role of contextual marketing offer in Mobile Commerce acceptance: comparison between Mobile Commerce users and nonusers

TL;DR: The empirical results support the extended TAM in explaining consumers' behavioural intentions to use MC, and the effect of CPV of marketing offer on the behavioural intention to useMC was greater for MC-nonusers group than forMC-users group.
Proceedings ArticleDOI

Understanding the Intention of Information Contribution to Online Feedback Systems from Social Exchange and Motivation Crowding Perspectives

TL;DR: This study develops and testing a theoretical model to identify the possible antecedents that lead to the intention of consumers' information contribution to OFS and preliminary results in general provide empirical support for the model.

Extended TAM Model: Impacts of Convenience on Acceptance and Use of Moodle.

TL;DR: In this article, the authors take TAM (technology acceptance model) as a foundation and include perceived convenience as a new external factor in predicting students' perceptions about the acceptance and use of Moodle, an open source e-learning system.
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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