A Jaccard Similarity-Based Model to Match Stakeholders for Collaboration in an Industry-Driven Portal

İnanç Kabasakal,Haluk Soyuer

doi:10.3390/proceedings2021074015

Abstract

The industry–university collaboration has been emphasized for innovation and economic development in the Triple Helix Model. To facilitate this collaboration often necessitates implementing interfaces between stakeholders. EGEVASYON, an industry-driven platform coined from the combination of innovation and Ege for the Aegean Region of Turkey, has been proposed to foster collaboration by involving researchers in industry projects. Moreover, the platform has a portal project under development, where researchers can receive recommendations among ongoing projects. Our study presents the use of Jaccard similarity measure in this recommendation model. Moreover, recommendation selection is demonstrated using a sample dataset of EU projects.

Highlights

Our study addresses a requirement in a university–industry collaboration web portal project and deals with the problem in a similarity-based model
The motive for such an inquiry has the intent to find similar R&D projects and to provide opportunities for cooperation across organizations. This objective seems to be irrelevant from the industry–university collaboration, facilitating cooperation within an industry is necessarily a positive action that complies to the industry-driven aspect of the center
Our study demonstrates the use of the Jaccard similarity measure to match a list of projects with a relevant subset of keywords

Summary

Introduction

The collaboration among universities and the industry is often emphasized as an essential factor that facilitates innovation. The triple helix model implies the necessity of communication and interaction across plural parties that paves the way to knowledgeintensive industries and innovation [1]. There is substantial work in prior research that covers the role of government to establish convenient environments for collaboration between university and industry. The study argued that academic researchers are orientated towards pure science in the long term, while the industry expects more practical outputs in the short run. [4] pointed out significant differences between the university-driven and industry-driven innovation ecosystems. The outputs of collaboration are mostly complex and intangible, and their benefits are often observed in the long run [5], which complicates performance evaluation in university–industry collaboration

Methods

Results

Discussion

Conclusion