A Study on Factors Influencing Digital Procurement Platform Use in R&D Settings: Integrating KANO Model, Institutional Theory, Diffusion of Innovation, and Technology Acceptance Model
Year: 2025
Type: article
Study design: Observational Study
Abstract: Purpose: This study integrates the KANO model, Institutional Theory, DOI, and TAM to identify factors affecting the adoption and use intention of digital procurement platforms in R&D.Methods: A two-stage mixed-methods design was used. Study 1 (KANO model) analyzed user satisfaction with platform functions. Study 2 (PLS-SEM) tested adoption factors using data from 188 R&D practitioners.Results: Most platform functions were classified as attractive or one-dimensional quality attributes. Technological efficiency and external support & training were key predictors of use intention; supply chain pressure was not. The effect of technological efficiency was stronger for office workers than for researchers.Conclusion: Effective platform diffusion requires an integrated approach considering organizational support and user satisfaction. This research expands the theoretical foundation for R&D technology adoption and provides practical, data-driven guidelines for platform strategy.
Authors: SeHo Song, Juyoung Kang
Institution: Ajou University
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7135231500