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Journal ArticleDOI

Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation

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TLDR
The development of an instrument designed to measure the various perceptions that an individual may have of adopting an information technology IT innovation, comprising eight scales which provides a useful tool for the study of the initial adoption and diffusion of innovations.
Abstract
This paper reports on the development of an instrument designed to measure the various perceptions that an individual may have of adopting an information technology IT innovation. This instrument is intended to be a tool for the study of the initial adoption and eventual diffusion of IT innovations within organizations. While the adoption of information technologies by individuals and organizations has been an area of substantial research interest since the early days of computerization, research efforts to date have led to mixed and inconclusive outcomes. The lack of a theoretical foundation for such research and inadequate definition and measurement of constructs have been identified as major causes for such outcomes. In a recent study examining the diffusion of new end-user IT, we decided to focus on measuring the potential adopters' perceptions of the technology. Measuring such perceptions has been termed a "classic issue" in the innovation diffusion literature, and a key to integrating the various findings of diffusion research. The perceptions of adopting were initially based on the five characteristics of innovations derived by Rogers 1983 from the diffusion of innovations literature, plus two developed specifically within this study. Of the existing scales for measuring these characteristics, very few had the requisite levels of validity and reliability. For this study, both newly created and existing items were placed in a common pool and subjected to four rounds of sorting by judges to establish which items should be in the various scales. The objective was to verify the convergent and discriminant validity of the scales by examining how the items were sorted into various construct categories. Analysis of inter-judge agreement about item placement identified both bad items as well as weaknesses in some of the constructs' original definitions. These were subsequently redefined. Scales for the resulting constructs were subjected to three separate field tests. Following the final test, the scales all demonstrated acceptable levels of reliability. Their validity was further checked using factor analysis, as well as conducting discriminant analysis comparing responses between adopters and nonadopters of the innovation. The result is a parsimonious, 38-item instrument comprising eight scales which provides a useful tool for the study of the initial adoption and diffusion of innovations. A short, 25 item, version of the instrument is also suggested.

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Citations
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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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A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies

TL;DR: In this paper, the authors developed and tested a theoretical extension of the TAM model that explains perceived usefulness and usage intentions in terms of social influence and cognitive instrumental processes, which was tested using longitudinal data collected regarding four different systems at four organizations (N = 156), two involving voluntary usage and two involving mandatory usage.
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Understanding Information Technology Usage: A Test of Competing Models

TL;DR: The results indicate that the decomposed Theory of Planned Behavior provides a fuller understanding of behavioral intention by focusing on the factors that are likely to influence systems use through the application of both design and implementation strategies.
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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.
References
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TL;DR: In this paper, the authors present a basic understanding of factor analytic techniques so that readers can use them in their own research and critically evaluate their use by other researchers, both the underlying theory and correct application are emphasized.
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Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings

TL;DR: A review and meta-analysis of seventy-five articles concerned with innovation characteristics and their relationship to innovation adoption and implementation was performed in this article, where three innovation characteristics (compatibility, relative advantage, and complexity) had the most consistent significant relationship with innovation adoption.
Journal ArticleDOI

A First Course in Factor Analysis

Barbara Price
- 01 Nov 1993 - 
TL;DR: The Factor Analytic Model of Factor Extraction by the Centroid Method as mentioned in this paper is an example of the use of factor analysis in the Comrey personality scales, and it has been used in many applications.
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