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PurposeAs university–industry collaboration (UIC) is associated to transfer of knowledge and technology, this collaboration is an extremely important field of study for the world's economies that helps industries become more competitive. UIC will assist universities in fine-tuning universities' educational programs to match with the industrial demand. This study, thus, presents a systematic literature review related to UIC in technology development process and technology commercialization.Design/methodology/approachThe Scopus database is used to extract the relevant articles. First, in presenting the articles, four scientometric analyses are used to visualize the bibliometric clusters, namely articles and journals co-citation analysis, countries collaboration analysis and keywords co-occurrence analysis. Next, a qualitative approach is used to classify the articles according to the methodology used and type of research. Finally, a research trend and keywords' evolution based on keywords are also provided.FindingsResults of this study reveal that majority of the articles used qualitative approach and descriptive analysis to explain the knowledge flow between industries and universities. According to the research trend analysis, researchers in this field were moving from the knowledge-based economy topic (from 2010–2013) to product development (2014–2015), technology commercialization (2016–2017), open innovation (2018–2019) and then currently are focusing on the green entrepreneurship topic.Practical implicationsThis study is expected to facilitate scholars to uncover gaps in the literature of UIC.Originality/valueThis study extends the use of scientometric analysis. The combination of “bibliometrix” R-package tool and VOSViewer software to perform the analysis is expected to give a new insight of doing the systematic literature review.
PurposeAs university–industry collaboration (UIC) is associated to transfer of knowledge and technology, this collaboration is an extremely important field of study for the world's economies that helps industries become more competitive. UIC will assist universities in fine-tuning universities' educational programs to match with the industrial demand. This study, thus, presents a systematic literature review related to UIC in technology development process and technology commercialization.Design/methodology/approachThe Scopus database is used to extract the relevant articles. First, in presenting the articles, four scientometric analyses are used to visualize the bibliometric clusters, namely articles and journals co-citation analysis, countries collaboration analysis and keywords co-occurrence analysis. Next, a qualitative approach is used to classify the articles according to the methodology used and type of research. Finally, a research trend and keywords' evolution based on keywords are also provided.FindingsResults of this study reveal that majority of the articles used qualitative approach and descriptive analysis to explain the knowledge flow between industries and universities. According to the research trend analysis, researchers in this field were moving from the knowledge-based economy topic (from 2010–2013) to product development (2014–2015), technology commercialization (2016–2017), open innovation (2018–2019) and then currently are focusing on the green entrepreneurship topic.Practical implicationsThis study is expected to facilitate scholars to uncover gaps in the literature of UIC.Originality/valueThis study extends the use of scientometric analysis. The combination of “bibliometrix” R-package tool and VOSViewer software to perform the analysis is expected to give a new insight of doing the systematic literature review.
Purpose With the rapid advancement of technology, companies use new technologies to produce their products and services to maintain a competitive advantage. As companies alone cannot research and develop their technologies, they should use knowledge sources outside the organization that may exist throughout the world; hence, organizations need technology transfer. Because the success rate of technology transfer projects is low, the need to accurately assess and investigate the critical success factors of technology transfer projects is felt. In this regard, this study aims to identify and prioritize the critical success factors in technology transfer projects. Design/methodology/approach In this research, 56 critical success factor (CSF) were extracted from the context of the articles and were adjusted using experts’ opinions in different phases, as well as the fuzzy-Delphi approach. Finally, 15 factors were categorized in the form of steps of the technology transfer model: STAGE-GATE. In the next step, the set of criteria needed to prioritize CFSs was extracted from the literature and finalized with the help of the experts. Then, how each of the CSF influences the identified criteria was scored according to the organization’s export opinions. Finally, the priority of each key success factor was calculated using the additive ratio assessment (ARAS) method. Findings The results obtained for prioritization of the critical success factors show that experience in technology transfer in the transferee company, the existence of experienced technology transfer managers, sufficient organizational infrastructure and documenting project problems, achievements and experiences are four critical success factors of the technology transfer projects. Considering the long-term and short-term specific goals of the technology transfer process and the choice of technology in line with the company’s commercial strategy are also the critical success factors with the next priorities. Originality/value The combination of ARAS and step-wise weight assessment ratio analysis methods for identifying and prioritizing managerial decisions in the high-tech industries is a value of this research. Also, a combination of novel multi-attribute decision-making methods by the older framework of new product development is another contribution of this research.
Technological innovation and preoccupation with new markets through technological innovation have become critical factors in achieving success in the global market. Currently, companies cannot develop and commercialize all technologies. Therefore, the importance of technology transfers is rapidly increasing. Technology transfer is a crucial strategy adopted by organizations to remain innovative and competitive. However, Korea’s technology transfer rate is only 37.9%. In particular, the technology transfer rate from universities to companies is lower than that from government-funded research institutes in Korea. Although the fundamental approach for resolving barriers to technology transfer have been studied, previous research has been conducted from a narrow definition of technology transfer. Furthermore, previous research has focused on analyzing the success factors of technology transfer, presenting technology transfer processes, or conducting case studies. Therefore, it is necessary to develop a technology donor diagnosis framework based on CSFs (Critical Success Factors) to eliminate obstacles to technology transfers. To lower the barriers to technology transfers, it is necessary to develop a strategy for a successful technology transfer based on the diagnosis of technology donors. This study develops a diagnosis framework for universities from the perspective of technology donors, implements and tests the framework using case studies, and proposes strategies for each stage of technology transfer growth. The framework is able to assess multidimensional perspectives, because CSFs and PMs were extracted based on BSC. Furthermore, by comparing the perspectives score of technology donors in different universities, technology donors can identify the areas in which each university is lacking in its current situation. Multidimensional diagnosis and aggregation score of technology donors offer to extract optimal CSFs for technology transfer activation for each growth stage.
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