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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

User acceptance of information technology: toward a unified view

TL;DR: The Unified Theory of Acceptance and Use of Technology (UTAUT) as mentioned in this paper is a unified model that integrates elements across the eight models, and empirically validate the unified model.
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Design science in information systems research

TL;DR: The objective is to describe the performance of design-science research in Information Systems via a concise conceptual framework and clear guidelines for understanding, executing, and evaluating the research.
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Technology Acceptance Model 3 and a Research Agenda on Interventions

TL;DR: This work draws from the vast body of research on the technology acceptance model (TAM) to develop a comprehensive nomological network of the determinants of individual level IT adoption and use and present a research agenda focused on potential pre- and postimplementation interventions that can enhance employees' adopted and use of IT.
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Developing and Validating Trust Measures for e-Commerce: An Integrative Typology

TL;DR: This paper contributes by proposing and validating measures for a multidisciplinary, multidimensional model of trust in e-commerce, which shows that trust is indeed a multiddimensional concept.
Journal ArticleDOI

Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior

TL;DR: Using the Technology Acceptance Model (TAM), gender differences in the overlooked context of individual adoption and sustained usage of technology in the workplace are investigated.
References
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Journal ArticleDOI

The use of information in decision making: an experimental investigation of the impact of computer-based decision aids

TL;DR: In this article, the authors use verbal protocol analysis to compare the extent of information use by unaided decision makers and users of a decision aid designed to support preferential choice problems.
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Determinants of coping: The role of stable and situational factors.

TL;DR: There was evidence that stable factors did influence coping behavior and that the latter effects were dependent on cross-situational consistency in event type and levels of stress.
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The effects of information system user expectations on their performance and perceptions

TL;DR: The results suggest an association between realism of users' expectations and their perceptions but not their actual performance, and the development of an instrument to measure user expectations, as well as toward understanding the causes of unrealistic user expectations.
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A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein:

TL;DR: The Fishbein intention model often produces weak and inconsistent predictions in marketing applications as mentioned in this paper, and high multicollinearity between independent variables is typical, which makes it unsuitable for marketing applications.
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Safer Sex Behavior: The Role of Attitudes, Norms, and Control Factors

TL;DR: In this article, a study was undertaken to assess the utility of revisions to the theories of reasoned actiodplanned behavior in the context of HIV-preventive behaviors, which incorporated the addition of group norm (behavioral norm and group attitude) to the nonnative component of the reasoned action model and the distinction among three aspects (selfefficacy, perceived behavioral control, and planning) of the control component of planned behavior.
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