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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

Breaking the Ice in B2C Relationships: Understanding Pre-Adoption E-Commerce Attraction

TL;DR: This research proposes that the forming of a business-to-consumer (B2C) customer relationship is part of a multiphased technology adoption process where attraction is the first step in this sequence.
Journal ArticleDOI

The Evaluation of User Experience of the Virtual World in Relation to Extrinsic and Intrinsic Motivation

TL;DR: In this paper, the authors have retracted a retracted article that has been published in 2003, which they termed as "untruthful" and "misinterpreted" by the author.
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Antecedents of consumer attitudes toward mobile marketing: A comparative study of youth markets in the United States and China

TL;DR: In this paper, the authors examine factors influencing consumers' attitudes toward mobile marketing across two major markets (the United States and China) and develop and test a conceptual model examining the joint influences of TAM constructs (perceived ease of use and perceived usefulness) and individual characteristics (personal attachment, innovativeness, risk avoidance, and privacy concern).
Journal ArticleDOI

Examining an extended technology acceptance model with experience construct on hotel consumers’ adoption of mobile applications

TL;DR: In this paper, the authors focus on the customer experience of mobile apps in the hospitality and tourism industry and propose a customer experience model for mobile apps as an emerging marketing marketing strategy in the tourism industry.
Journal ArticleDOI

Consumer Acceptance of Personal Information and Communication Technology Services

TL;DR: A large-scale survey of consumers of mobile data services of two different types of MDS strongly supported the model with service type moderating key relationships, which has theoretical and practical implications for digital service management in particular and service science in general.
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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