ArticlePloS one2025
A diffusion of innovations measurement scale for reinvention, relative advantage, compatibility, complexity, trialability and observability.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Motivations, Decision-Making, and Barriers to Treatment Innovation Adoption: A Mixed-Methods Study of Addiction Treatment Executives.Research square · 2026Article
- Advancing occupational and environmental safety in greenhouse agriculture: an extended elaboration likelihood model of safety technology adoption.Scientific reports · 2026Article
- A Qualitative Exploration of the Drivers of Rural Hospital Participation in a Technical Assistance Program.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026Article
- Implementation of a nursing assessment framework in the postanesthesia care unit: a pre-post implementation design.Frontiers in medicine · 2026Article
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Authors and funding
2 authors.
Funding
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Abstract
Diffusion of innovations (DOI) theory identifies critical factors that influence technology adoption rates and offers a predictive model for understanding how innovations spread through populations. While DOI theory encompasses six key perceptual characteristics (relative advantage, compatibility, complexity, trialability, observability, and reinvention), most empirical research operationalizes only Rogers' five core attributes, rarely integrating reinvention despite its theoretical importance for understanding post-adoption adaptation. This research develops and validates a comprehensive scale measuring all six DOI characteristics, with particular attention to the reinvention construct. Through three independent samples (n = 2,019), we test the scale's validity within a nomological network, creating an adaptable instrument for studying innovation diffusion that captures the full scope of DOI theory.
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Registered trials
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