A Systematic Literature Review on University Collaboration in Open Innovation: Trends, Technologies, and Frameworks

Authors

  • Novi Sofia Fitriasari University of Indonesia, Faculty of Computer Science, Depok, Indonesia https://orcid.org/0000-0001-8542-2752
  • Dana Indra Sensuse University of Indonesia, Faculty of Computer Science, Depok, Indonesia
  • Deden Sumirat Hidayat National Research and Innovation Agency (BRIN), Central Jakarta and Bandung, Indonesia https://orcid.org/0000-0002-1847-8665
  • Erisva Hakiki Purwaningsih University of Indonesia, Faculty of Computer Science, Depok, Indonesia https://orcid.org/0009-0009-3156-9316

DOI:

https://doi.org/10.34190/ejkm.22.1.3407

Keywords:

University collaboration, Open innovation, Trends, Technology, Framework

Abstract

Open innovation is a concept of collaboration of ideas, knowledge, and resources that originates from within the organization and involves external organizations. University-industry collaboration is a factor driving innovation and competitiveness. Most research on interactions between universities and industry concentrated on the industrial side meanwhile, universities, as knowledge producers, play a vital role in creating an open innovation ecosystem that encourages realizing innovations that benefit society. Therefore, the problem raised in this research is how university collaboration can support open innovation. This research aims to identify research trends, the latest technologies, and inter-university collaboration frameworks that can support open innovation. The methodology used is Kitchenham's Systematic Literature Review (SLR) and bibliometric. SLR consists of Identification Study, Selection Studies, Quality Assessment, Data Extraction and Study Synthesis. From the SLR stages, 21 papers published between 2019 and 2023 were obtained. Synthesis and additional literature review were carried out to identify trends, technologies, and frameworks related to the topic comprehensively. In terms of trend, based on the application bibliometric, it was found that there was an increase in the number of publications and the top list of open innovation journals. University collaboration in open innovation more frequently takes place in the UK, and the industries mostly involved are small-medium enterprises. Quantitative research methodology and data analyses, comprising of hypothesis test, regression test, and descriptive statistics, are mostly preferred. Meanwhile, descriptive data analysis is the most common means of qualitative data analysis. Numerous suggestions on topics for future research were also identified. In addition, data analysis using machine learning survival data is identified as a novelty among data analysis methods. Technology transfer and the use of digital platforms may support open innovation processes, and the use of blockchain technology may promote digital platforms development. Seven domains form the framework for university collaboration in open innovation, namely Social Behavior, People, Process, Organization, Environment, Technology, and Performance. The findings of trends, technologies, and frameworks in this research may serve as a foundation for research on similar topics, and the identified framework domains could serve as framework components that might be used by universities to collaborate with partners in implementing open innovation processes. The research have contributes to knowledge management theoretically and practically. Theoretically, open innovation can expand the knowledge base by supporting the concept that knowledge and expertise can be found outside organizational boundaries. Practically, it can enrich knowledge management practices by emphasizing the importance of utilizing digital platform technology in supporting knowledge management sourced from external knowledge and collaboration services in the open innovation process.

 

 

 

Author Biographies

Novi Sofia Fitriasari, University of Indonesia, Faculty of Computer Science, Depok, Indonesia

Novi Sofia Fitriasari is a lecturer and researcher in Marine Information System Study Program of Indonesia University of Education. She earned her Master’s degree from Bandung Institute of Technology in 2010. She is currently pursuing a doctoral degree at Computer Science Study Program of University of Indonesia. Her research interests are knowledge management, information system, and IT for education.She can be contacted at email: novi.sofia@ui.ac.id and https://orcid.org/0000-0001-8542-2752

 

Dana Indra Sensuse, University of Indonesia, Faculty of Computer Science, Depok, Indonesia

Dana Indra Sensuse is a Professor, Lecturer, and Researcher at the University of Indonesia's Faculty of Computer Science in Depok, Indonesia. He specializes in knowledge management (KM), e-government, e-business, information systems (IS)/IT, management and governance, and data science and analytics. In 2004, he received his PhD from the University of Toronto. He has over 300 globally indexed scholarly articles and over 1,400 citations. For further inquiries or collaboration, Dana Indra Sensuse, He can be reached at dana@cs.ui.ac.id and https://orcid.org/0000-0002-0012-8552

Deden Sumirat Hidayat, National Research and Innovation Agency (BRIN), Central Jakarta and Bandung, Indonesia

Deden Sumirat Hidayat is a researcher at the National Research and Innovation Agency/ Badan Riset dan Inovasi Nasional (BRIN). He graduated as a doctor of computer science from the Faculty of Computer Science, University of Indonesia, Depok, Indonesia in July 2023. He obtained his master degree of Computer Sciences at Bogor Agricultural University in 2016. a He has an interest in the fields of KM, Information System, Management & Governance, data science, information and library science. He has experience in developing data mining-based knowledge management systems, particularly such as decision support systems. He also has experience as a web-based information system consultant and developer. He can be contacted at email: deden.sumirat@ui.ac.id and dede025@brin.go.id and https://orcid.org/0000-0002-1847-8665

Erisva Hakiki Purwaningsih, University of Indonesia, Faculty of Computer Science, Depok, Indonesia

Erisva Hakiki Purwaningsih is a doctoral student in the Faculty of Computer Science at the University of Indonesia, located in Depok, Indonesia. Her academic journey includes a master’s degree in Computer Sciences, which she successfully earned from Putra Indonesia University in 2008. Alongside her academic pursuits, she actively contributes to research as a valued member of the Ministry of Informatics and Communication, Republic of Indonesia. Erisva's professional interests span across various domains, including Supply Chain Management, Information Systems, Management, and Governance. As a fervent advocate for progress and innovation, Erisva Hakiki Purwaningsih has demonstrated her commitment to advancing knowledge and solutions within her areas of expertise. She can be contacted at email: erisvaha.kiki@ui.ac.id and https://orcid.org/0009-0009-3156-9316

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Published

5 Apr 2024

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