Open access and the flow of knowledge into technology: Evidence from journal transitions to full and immediate <scp>OA</scp>

Abstract Scientific knowledge forms the foundation of technological innovation, yet how to effectively facilitate its translation into applied technologies remains underexplored. Existing research has largely focused on measuring the linkage between science and technology, while overlooking the institutional mechanisms that can actively promote this process. Open Access (OA), by improving the accessibility and visibility of scientific outputs, presents a promising pathway to accelerate knowledge diffusion. This study investigates whether and how journal transitions to OA foster the uptake of scientific knowledge in technological domains, using agriculture as a representative field. We compile a panel dataset of 299 agricultural journals (1990–2024) and employ a multi‐period Difference‐in‐Differences (DID) framework. The results show that journal transitions to full and immediate OA significantly increase the number of patent citations per article. Mechanism analysis further reveals that OA enhances social media attention and early scholarly usage, thereby facilitating the translation of research into patents. These findings highlight OA as not merely a tool for improving scholarly access, but also a strategic driver for research translation into technological innovation.

Institutions

Publication Details

Journal
Journal of the Association for Information Science and Technology
Published
2025-12-12
DOI
https://doi.org/10.1002/asi.70045
Primary Topic
Intellectual Property and Patents
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Open access and the flow of knowledge into technology: Evidence from journal transitions to full and immediate OA

Journal of the Association for Information Science and Technology
Intellectual Property and Patents
article

Open access and the flow of knowledge into technology: Evidence from journal transitions to full and immediate OA

article en

Abstract

Abstract Scientific knowledge forms the foundation of technological innovation, yet how to effectively facilitate its translation into applied technologies remains underexplored. Existing research has largely focused on measuring the linkage between science and technology, while overlooking the institutional mechanisms that can actively promote this process. Open Access (OA), by improving the accessibility and visibility of scientific outputs, presents a promising pathway to accelerate knowledge diffusion. This study investigates whether and how journal transitions to OA foster the uptake of scientific knowledge in technological domains, using agriculture as a representative field. We compile a panel dataset of 299 agricultural journals (1990–2024) and employ a multi‐period Difference‐in‐Differences (DID) framework. The results show that journal transitions to full and immediate OA significantly increase the number of patent citations per article. Mechanism analysis further reveals that OA enhances social media attention and early scholarly usage, thereby facilitating the translation of research into patents. These findings highlight OA as not merely a tool for improving scholarly access, but also a strategic driver for research translation into technological innovation.

Journal of the Association for Information Science and TechnologyVol. 77(2)
Dalian University of Technology (CN), Dalian University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 28%
Intellectual Property and Patents
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.