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

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Understanding Information Technology Usage: A Test of Competing Models

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

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References
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Proceedings Article

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TL;DR: In this paper, the authors discuss common methodological problems in experimental IS studies and, through a description of a series of graphics experiments at the University of Minnesota, illustrates the particularly acute problem of low internal validity.
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Implementation Characteristics of Organizational Innovations Limits and Opportunities for Management Strategies

TL;DR: In this article, the authors describe the tactics that successful managers use to implement an innovation: the manner in which users are involved, the way that sponsorship is managed, and the extent to which organizational change is managed in concert with technical change.
Journal ArticleDOI

Methodological issues in experimental IS research: experiences and recommendations

TL;DR: Suggestions are offered to experimental IS researchers on how some of these common problems in experimental IS studies can be alleviated or even avoided, particularly in studies on the use of managerial graphics.
Journal ArticleDOI

A critique of diffusion theory as a managerial framework for understanding adoption of software engineering innovations

TL;DR: The authors critically evaluate classical diffusion theory, identifying elements that must be extended and modified before it can be applied to technology transition, in general, and software engineering, specifically.
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