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Table 2. Top five authors of Absorption Capacity, Knowledge and Competitiveness cluster.

Table 2 Top five authors of Absorption Capacity, Knowledge and Competitiveness cluster.

Related Figures (7)

Figure 2. Total publications and citations by year.
Figure 2. Total publications and citations by year.
Figure 1. Search protocol.
Figure 1. Search protocol.
Table 3. Top five authors of The Impact of Knowledge Spillovers on University-Industry Cooperation cluster. Table 4. Top five authors of Strategic Alliances for Business Innovation cluster.
Table 3. Top five authors of The Impact of Knowledge Spillovers on University-Industry Cooperation cluster. Table 4. Top five authors of Strategic Alliances for Business Innovation cluster.
characteristics of researchers have a stronger impact than the charac- teristics of their departments or universities. By paying more attention to the wide range of knowledge transfer mechanisms—in addition to patents and spin-offs—policy initiatives can contribute to building the skills needed to integrate scientific research and its applications. guide future trends in this production, as well as its implications for society. The second is a shift from production economies to the socio-economic processes of contemporary innovation systems, with universities becoming part of a new knowledge infrastructure. In the context of current knowledge-based innovation and the associated role played by knowledge-based networks, the model of the univer- sity centre as a vehicle for technology transfer has become organisa- tionally and institutionally more complex. Universities now serve as a channel through which the exchange and exploitation of knowledge becomes more effective.
characteristics of researchers have a stronger impact than the charac- teristics of their departments or universities. By paying more attention to the wide range of knowledge transfer mechanisms—in addition to patents and spin-offs—policy initiatives can contribute to building the skills needed to integrate scientific research and its applications. guide future trends in this production, as well as its implications for society. The second is a shift from production economies to the socio-economic processes of contemporary innovation systems, with universities becoming part of a new knowledge infrastructure. In the context of current knowledge-based innovation and the associated role played by knowledge-based networks, the model of the univer- sity centre as a vehicle for technology transfer has become organisa- tionally and institutionally more complex. Universities now serve as a channel through which the exchange and exploitation of knowledge becomes more effective.
Table 5. Top five authors of university-industry cooperation cluster. these activities are inserted and that environmental and institutional factors explain part of the variation in performance. Productivity can also depend on organisational practices. The most critical organisational factors are teacher reward systems, TTOs’ compensa- tion and personnel practices and cultural barriers between univer- sities and companies. Relations; and University-Industry Cooperation. The Strategic Alliances for Business Innovation cluster distances itself in terms of both number of authors and connectivity to the other clusters— including co-citations. From these results, we can infer that one of the areas in which much research still needs to be conducted is strat- egies for innovation. Collaboration between industries and univer- sities faces significant challenges. While universities are driven primarily to create new knowledge and education programmes, private firms focus on acquiring knowledge that can become a competitive advantage (Dasgupta and David 1994). Nonetheless, universities have become increasingly proactive in collaborating with industries, seeking to create valuable intellectual property to promote technology transfer. Therefore, university—industry interactions are being more frequently subjected to measures and management, which has led to more formal contractual exchanges based on codified rules and regulations (Bruneel et al. 2010; Mok 2015).
Table 5. Top five authors of university-industry cooperation cluster. these activities are inserted and that environmental and institutional factors explain part of the variation in performance. Productivity can also depend on organisational practices. The most critical organisational factors are teacher reward systems, TTOs’ compensa- tion and personnel practices and cultural barriers between univer- sities and companies. Relations; and University-Industry Cooperation. The Strategic Alliances for Business Innovation cluster distances itself in terms of both number of authors and connectivity to the other clusters— including co-citations. From these results, we can infer that one of the areas in which much research still needs to be conducted is strat- egies for innovation. Collaboration between industries and univer- sities faces significant challenges. While universities are driven primarily to create new knowledge and education programmes, private firms focus on acquiring knowledge that can become a competitive advantage (Dasgupta and David 1994). Nonetheless, universities have become increasingly proactive in collaborating with industries, seeking to create valuable intellectual property to promote technology transfer. Therefore, university—industry interactions are being more frequently subjected to measures and management, which has led to more formal contractual exchanges based on codified rules and regulations (Bruneel et al. 2010; Mok 2015).
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University-Industry Collaboration
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