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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

Adoption of AI-based chatbots for hospitality and tourism.

TL;DR: In this article, the authors investigated the customers' behavioral intention and actual usage of AI-powered chatbots for hospitality and tourism in India by extending the technology adoption model (TAM) with context-specific variables.
Journal Article

An Empirical Investigation into the Role of Enjoyment, Computer Anxiety, Computer Self-Efficacy and Internet Experience in Influencing the Students' Intention to Use E-Learning: A Case Study from Saudi Arabian Governmental Universities

TL;DR: In this article, the authors investigated the role of Enjoyment, computer anxiety, computer self-efficacy and Internet experience in influencing the students' intention to use E-learning in Saudi's universities.
Journal ArticleDOI

User involvement and user satisfaction with information-seeking activity

TL;DR: This paper presents the result of an empirical study that investigates user involvement and user satisfaction in the context of information-seeking activity, and reports that intrinsic motivators have a stronger positive effect on user involvement than situational motivator have.
Journal ArticleDOI

Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage

TL;DR: In this paper, a meta-analysis of the technology readiness index (TR) is presented to better understand people's propensity to embrace and use cutting-edge technologies and investigate mediating mechanisms and moderating influences in the technology usage relationship.
Journal ArticleDOI

Adjusting to epidemic-induced telework: empirical insights from teleworkers in France

TL;DR: An epidemic-induced telework adjustment model derived from the theory of Work Adjustment and the Interactional Model of Individual Adjustment is developed and tested on a sample of 1574 teleworkers in France, demonstrating the superiority of the influence of crisis-specific variables that are professional isolation, telework environment, work increase and stress.
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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