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Re-examining perceived ease of use and usefulness

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TLDR
Adams et al. as discussed by the authors evaluated the psychometric properties of the ease of use and usefulness scales, and empirically examined the relationship between the constructs (or traits) of usefulness, ease-of-use, and reported levels of usage.
Abstract
Recently, Adams, et al. (1992) presented the results of two studies designed to replicate previous work by Fred Davis (1989) regarding perceived usefulness, ease of use, and their influence on the usage of information technology. Specifically, these authors sought to: (1) evaluate the psychometric properties of the ease of use and usefulness scales, and (2) empirically examine the relationship between the constructs (or traits) of usefulness, ease of use, and reported levels of usage.

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Citations
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Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model

TL;DR: 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.
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Structural equation modeling and regression: guidelines for research practice

TL;DR: The article presents a running example which analyzes the same dataset via three very different statistical techniques and compares two classes of SEM: covariance-based SEM and partial-least-squaresbased SEM, and discusses linear regression models and guidelines as to when SEM techniques and when regression techniques should be used.
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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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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.
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Extending the TAM for a World-Wide-Web context

TL;DR: In this article, the authors introduce playfulness as a new factor that reflects the user's intrinsic belief in WWW acceptance, and use it as an intrinsic motivation factor, extending and empirically validate the TAM for the WWW context.
References
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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.
Journal ArticleDOI

Coefficient alpha and the internal structure of tests.

TL;DR: In this paper, a general formula (α) of which a special case is the Kuder-Richardson coefficient of equivalence is shown to be the mean of all split-half coefficients resulting from different splittings of a test, therefore an estimate of the correlation between two random samples of items from a universe of items like those in the test.
Journal ArticleDOI

Structural equation modeling in practice: a review and recommended two-step approach

TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Book

Structural Equations with Latent Variables

TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
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