Winda Anestya Ayunda
National Research and Innovation Agency

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Multistakeholder Collaboration to Enhance the Scalability of Jarwo Super Technology: An Innovation Platform Perspective Winda Anestya Ayunda; Indah Purwaningsih; Lutfah Ariana; Cecep Ibrahim
STI Policy and Management Journal Vol 7, No 2 (2022): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2022.342

Abstract

The process of accelerating the diffusion of research and development (R&D) results in an agricultural innovation system (AIS) can be realized through an innovation platform approach. This study examines the collaboration of multi-stakeholders in the process of development and diffusion of the Jajar Legowo (Jarwo) Super technology through the perspective of innovation platform. There have been few studies in the area to look at the structure of technology diffusion process to achieve a scalability of impact. This study will fill the gap by looking at the structure of multi-stakeholders’ network and the working mechanism of the platform to get understanding on the delivery process of Public Research Organization (PRO)’s research result at a systemic level.  The analysis of this research is equipped with the application of a co-word analysis. This tool is used to map issues based on the actor's function, namely the role in the development and diffusion of Jarwo Super technology. The results of the study will contribute to the theoretical development of innovation platform in AIS. It also provides a basis for policy makers and related stakeholders on how innovation platform can strengthen agricultural development programs in a wider organizational context.
An Institutional Analysis of Indigenous Data Governance in Indonesia’s STI Systems Winda Anestya Ayunda; Yogi Suprayogi Sugandi; Yanuar Farida Wismayanti; Wawan Budi Darmawan
STI Policy and Management Journal Vol 11, No 1 (2026): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2026.463

Abstract

This article examines the institutional positioning of Indigenous Data Governance (IDG) within Indonesia’s Science, Technology, and Innovation (STI) policy framework. Using a qualitative analysis of key policy documents including Law No. 11/2019 on the National System of Science and Technology, Law No. 27/2022 on Personal Data Protection, and Law No. 6/2014 on Village Governance, this study explores how IDG is reflected in existing policies. The analysis is guided by an institutional perspective that focuses on three dimensions: regulative, normative, and cognitive elements. This approach enables an assessment of not only formal legal provisions, but also the values and underlying assumptions embedded in policy frameworks. The findings show that IDG remains weakly embedded within Indonesia’s STI policy framework. While certain regulative elements provide partial support particularly in relation to data protection and governance normative recognition of Indigenous communities and cognitive acknowledgment of Indigenous knowledge systems remain limited. As a result, policies tend to prioritize formal, individual-based data governance and overlook collective and culturally embedded dimensions of data. When interpreted within the broader STI system, these limitations are reflected in the insufficient inclusion of Indigenous actors, weak linkages between national policies and local governance structures, and the absence of a supportive enabling environment for IDG. This study highlights that the challenge of integrating IDG is not only a matter of legal recognition, but also of institutional alignment and system-level support. It contributes to the literature on STI governance by emphasizing the importance of incorporating diverse knowledge systems and strengthening coordination across governance levels in culturally diverse and decentralized contexts.