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Developing a Comprehensive Tool for Assessing IT Innovation Adoption Perceptions

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Development of an Instrument for Assessing the Perceptions of Adopting Information Technology Innovations

This research paper outlines a methodological advancement in designing a tool to gauge individuals' perceptions towards adopting information technology IT innovations. The objective is to use this instrument as a pivotal resource for studying both initial adoption and subsequent diffusion patterns of IT innovations within organizations.

The field has historically experienced significant interest due to the rapid expansion of IT technologies, yet empirical findings have often proven inconclusive. Key barriers identified include an absence of robust theoretical frameworks and inadequacies in defining and measuring relevant constructs. As part of our recent investigation into the adoption dynamics of new -user IT innovations, we decided to concentrate on assessing potential users' perceptions.

Perceptions were initially based on five innovation characteristics outlined by Rogers 1983 within the diffusion theory framework, complemented with two novel attributes developed specifically for this study. However, existing scales measuring these aspects showed varying levels of validity and reliability. A comprehensive approach was adopted that involved compiling both new items alongside pre-existing ones and subjecting them to rigorous sorting rounds by expert judges across four iterations.

The primary goal was to validate the scales' convergent and discriminant validity through analysis of the judges' item classifications into corresponding construct categories. Agreement on item placement between judges helped in identifying flawed items as well as shortcomings in the original definitions of certn constructs, which were subsequently refined. ing constructs were then subjected to three field tests.

Upon completing these tests, each scale demonstrated adequate reliability metrics. To ensure validity, these scales underwent further scrutiny through factor analysis and discriminant analysis comparing responses from adopters versus non-adopters. A final, efficient 38-item questionnre emerged consisting of eight scales providing a comprehensive tool for studying the initial adoption and diffusion of innovations.

For convenience and broader application potential, we also propose a shorter version comprising 25 items.

The development process outlines a robust for researching IT innovation acceptance, incorporating both theoretical underpinnings and empirical validation.

References

This revised version includes improvements in grammar, clarity, flow, and structure to enhance the paper's and professional presentation. It adheres closely to the original information while refining its language for broader comprehension within academic circles.

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This article is reproduced from: https://pubsonline.informs.org/doi/10.1287/isre.2.3.192

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