scispace - formally typeset
Journal ArticleDOI

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

Reads0
Chats0
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.

read more

Citations
More filters
Journal ArticleDOI

Development of a survey instrument to examine consumer adoption of broadband

TL;DR: The final outcome of the instrument development process was a parsimonious, 39‐item instrument, consisting of ten scales, all with acceptable levels of content validity, reliability and construct validity.
Journal ArticleDOI

Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems: An empirical study of Taiwan's electronics industry

TL;DR: This study empirically test a framework identifying the relationships between end-user computing satisfaction (EUCS), system usage, and individual performance and indicates that higher levels of EUCS can lead to increased BI system usage and improved individual performance.
Journal ArticleDOI

Supply chain collaboration and sustainability: a profile deviation analysis

TL;DR: In this paper, the authors analyzed the deviation from an optimal profile of supply chain collaboration and its detrimental effect on sustainability performance as well as market performance, and showed that sustainable supply chain collaborations need to be operated at an ideal profile in collaboration with advanced internal practices to generate improved performance.
Journal ArticleDOI

Predicting the organisational adoption of B2C e-commerce: an empirical study

TL;DR: A prediction model which consists of four major factors in the adoption of online retailing by organisations, namely relative advantage, competitive pressure, channel conflict and technical resource competence revealed that relative advantage and competitive pressure have positive effects on the adopters' adoption.
Posted Content

Service quality in Software-As-A-Service: Developing the SaaS-QUAL measure and examining its role in usage continuance

TL;DR: SaaS-Qual as mentioned in this paper is a zones-of-tolerance (ZOT)-based service quality measurement instrument specifically for SaaS solutions, which can be used as a diagnostic tool by software-as-a-service providers and users alike to spot strengths and weaknesses in the service delivery.
References
More filters
Book

Using multivariate statistics

TL;DR: In this Section: 1. Multivariate Statistics: Why? and 2. A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques.

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

Diffusion of Innovations

TL;DR: A history of diffusion research can be found in this paper, where the authors present a glossary of developments in the field of Diffusion research and discuss the consequences of these developments.
Related Papers (5)