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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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Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics

TL;DR: The results strongly support the utilization of TAM in predicting users' intention to adopt digital libraries, and demonstrate the effects of critical external variables on behavior intention through perceived ease of use and perceived usefulness.
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WebQual: An Instrument for Consumer Evaluation of Web Sites

TL;DR: The authors used the Theory of Reasoned Action and the Technology Acceptance Model to develop the WebQual instrument for consumer evaluation of Web sites and it is a highly validated instrument that can provide both wide- and fine-grained measurements of organizational Web sites.
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Understanding user responses to information technology: a coping model of user adaption

TL;DR: This paper defines user adaptation as the cognitive and behavioral efforts performed by users to cope with significant information technology events that occur in their work environment and identifies four adaptation strategies which are hypothesized to result in three different individual-level outcomes.

The acceptance and use of a virtual learning environment in China

TL;DR: In this article, a conceptual model to explain the differences between individual students in the level of acceptance and use of a virtual learning environment (VLE) was built, including subjective norm, personal innovativeness in the domain of information technology, and computer anxiety.
Journal ArticleDOI

Do I really have to? User acceptance of mandated technology

TL;DR: This paper discusses the current understanding of technology acceptance, as well as the notion of mandated use, and discusses a field study conducted in the banking industry to examine technology acceptance models in a mandated use environment.
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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