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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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An Examination of IndividualâÂÂs Perceived Security andPrivacy of the Internet in Malaysia and the Influence ofThis on Their Intention to Use E-Commerce: Using AnExtension of the Technology Acceptance Model

TL;DR: In this article, the authors explored the impact of perceived security and privacy on the intention to use Internet banking and used an extended version of the technology acceptance model (TAM) to examine the above perception.
Journal ArticleDOI

Toward an understanding of construction professionals' acceptance of mobile computing devices in South Korea: An extension of the technology acceptance model

TL;DR: This study found that user satisfaction was an important indicator of adoption of the intent to adopt mobile computing devices in the construction industry and determinants of perceived usefulness, such as social influence, job relevance, and top management support, and determinant of perceived ease of use are critical factors that influence the successful implementation of mobile computing device in theConstruction industry.
Journal ArticleDOI

Bridging the work/social divide: the emotional response to organizational social networking sites

TL;DR: It is found that SNSs blur the boundary between work life and social life and that this boundary blurring creates positive emotions for the employees that use the system.
Journal ArticleDOI

A cross‐national investigation of an extended technology acceptance model in the online shopping context

TL;DR: In this article, a cross-national application of an extended technology acceptance model (TAM) in online shopping across the USA and China was tested for invariance, and used to investigate the effect of the TAM constructs on online purchase intentions and interrelationships among the constructs across the two samples.
Journal ArticleDOI

Factors influencing mobile services adoption: a brand‐equity perspective

TL;DR: The results indicate that the mobile service attributes of personalization, identifiability, and perceived enjoyment have significant positive influences on the key brand equity factors, including brand loyalty, perceived quality, brand awareness, and brand associations.
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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