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The purpose of this paper is to investigate the main factors affecting researcher engagement in knowledge transfer exchanges (KTE) in an Open Innovation (OI) context, devoting special attention to specific factors such as personal and professional profile, institutional variables, social networks and recognition.

An extensive literature review was conducted, focusing on current studies concerning the OI concept and research lines, OI and universities, KTE, and the factors affecting researcher engagement in university KTE. Based on this review a conceptual framework was proposed, including four main factors that affect KTE researcher engagement (personal and professional, institutional, social networks and recognition). The assumptions of this framework were explored in an empirical study involving 382 senior researchers, acting as leaders of different research groups, at Spanish universities. This was followed by univariate, bivariate and multivariate statistical analysis.

Results show that, apart from recognition, most of the proposed factors affect researcher engagement in KTE processes. The social network factors appear to be the most important, as all items were significant in affecting the engagement of researchers in these processes.

Both the study and the statistical analysis are exploratory, therefore results should be treated with caution. Moreover, the data were collected from only one country, hence, in order to improve validity, additional data would be needed.

Social networks (between researchers, businesses, university administrators, University Technology Transfer Office directors, etc.) should be promoted in order to improve researcher involvement in university KTE in an OI context.

There is a lack of research literature discussing factors affecting researcher engagement in KTE processes. Moreover, researcher involvement is a key factor in contributing to the success of KTE. This paper provides a thorough discussion of these factors and proposes a conceptual framework with which they may be studied in the context of OI.

In this study, an open innovation (OI) model was designed in which the organization’s human resource systems comprise the main core. To identify the various dimensions of the model, this study aims to investigate how and under what conditions the organizations update and upgrade their knowledge and experiences in the human capital (HC) systems domain within the OI framework and in line with sharing them with other organizations.

In this qualitative study, the data were collected by means of semi-structured interviews and analyzed through grounded theory, which led to the extraction of the final model.

The implementation of the HC-based OI helps upgrade knowledge in the organization and industry knowledge, create win-win relationships and increase the interaction capital, power and credit of the organization.

In this study, HC systems have been regarded as the core of the OI model (rather than an intervening factor in OI). This is the main innovative aspect of the current study. In addition, the special attention paid to the inside-out approach to OI and the examination of the human and social aspects of inter-organizational knowledge sharing – particularly in the light of the fact that the study was carried out in a developing country – are the other innovative aspects of this study.

The present study conceptualizes and examines the interplay of transformational leadership, ambidexterity and wireless information technology (IT) competency for enhancing innovative capability.

Drawing primarily on the knowledge-based and dynamic capabilities view theory, the present study explored supply chains of a large global apparel company and their effect on innovative capability through a mixed methods approach.

The results show that transformational leaders strongly influence the development of ambidexterity and enhance radical innovative capability through wireless IT competency.

The results of this study suggest that supply chain integration through transformational leadership and wireless IT competency can promote simultaneous exploration and exploitation to enhance innovation.

The growth of cloud and/or virtual supply chains facilitated by digital wireless communications and Internet technology is advancing logistics and supply chain innovations. With increasing global competition, digitalized supply chains and ever-growing environmental uncertainty, leadership traits, especially transformational leadership and ambidextrous leaders, can be major contributing factors for successful development of wireless IT competency to support innovative capability.

Wireless IT competency facilitates knowledge integration particularly for combining prior internal knowledge of exploitative innovation with new external knowledge to develop explorative innovation.

This paper aims to analyze the extent to which the influence of external knowledge search activities on firms’ incremental innovation capability, and the moderating roles of the relatedness between the partners’ technological bases and a firm’s network embeddedness in the innovation network.

In this empirical research, the authors collected a sample of patents in the UAV industry over the period of 2004–2018. Then the authors examined the direct role of external knowledge search on firms’ incremental innovation capability and the joint moderating effects of technological proximity and network embeddedness.

We found that external knowledge search in innovation networks positively affects firms’ incremental innovation capability. Moreover, we discovered that high technological proximity to other peers positively strengthens the impact of firms’ external knowledge search on their incremental innovation capability. Finally, the findings suggested that the relationship between a firm’s external knowledge search activities and its incremental innovation capability is stronger for high technological proximity coupled with high network centrality or poor structural holes in innovation networks.

This study adds value to open innovation literature by pointing out a positive relationship between external knowledge search and firm incremental innovation capability. Furthermore, this study reinforces the key joint contingent roles of technological proximity and network embeddedness. This study provides a valuable theoretical framework of incremental innovation capability determinants by connecting the different perspectives.

In organisational and innovation research, the term “open innovation” refers to the inflow and outflow of knowledge to and from organisations: with open innovation theory suggesting active exchanges of knowledge with external actors leads to the development of exploitable new ideas. In the field of education, however, the exchange of knowledge with external parties represents a paradigm shift. In response, this article presents findings from research design to explore the nature and composition of school innovation networks, and the effects of such these networks on knowledge mobilisation.

The study draws on data from a representative random sample of 411 German school leaders. Respondents were asked to detail their engagement in open and closed innovation activity and their school's external collaborations during the last 12 months. A latent class distal outcome model was developed to examine whether different types of collaboration associate with different knowledge mobilisation processes.

The study findings suggest that schools in Germany mainly use internal knowledge for innovation, with external knowledge exchange taking place on a very limited basis. Knowledge mobilisation varies depending on the innovation network. The authors use the findings to indicate new insights for how schools can further innovate learning and teaching in future.

Although there is increasing discussion on Professional Learning Networks in schools, the discourse on knowledge mobilisation within educational networks is limited, making concept of open innovation so far completely absent from discourses on school improvement. This paper initiates the population of this new research space.

This chapter reviews the economics literature on the development aspects of a substantially strengthened global regime of intellectual property rights (IPR). In this regime developing countries must adopt tighter standards governing patents, copyrights, and related policies, in order to protect global innovation. Some analytical literature finds that these changes could improve prospects for technology flows to poor countries, helping to integrate them into the global knowledge economy. Other authors raise deep concerns about whether these policy shifts will restrict growth through raising the costs of imitation, innovation, and acquiring international technologies. Poor countries may face permanently higher costs, raising questions about both the efficiency and equity implications. The chapter considers first the role of a balanced IPR regime in an overall economic development policy. This balance could involve widely varying protection standards at differing levels of economic development, growth, and social preferences. This situation is especially true in the world economy, where poorer countries may prefer to free ride on available international technologies. Much of the theoretical literature takes this view, suggesting that harmonized global policies could reduce innovation and growth. More recent literature takes a broader view of the ability of IPR to build global technology markets and support international information exchanges. Ultimately these are empirical questions and the available literature differs considerably in analytical approaches and conclusions. Thus, the chapter analyzes contributions from theory, empirical analysis, and case studies regarding prospective improvements or impediments to economic development arising from IPR reforms. These issues are especially important in public health and nutrition. The chapter concludes with an overview of how the globalized nature of IPR protection could affect developing countries. The essential point is that policy governing patents and copyrights needs to be embedded effectively in an overall economic development strategy.

The present article aims to investigate the quality of the relationships in a business partnership for a project in Medtech field and the components that most influence them, with special attention to relational capabilities (RCs). Dyadic relationships and mainly RCs are considered critical factors for the success of a partnership.

A case study was used to evaluate the influence of RC on the progress of an alliance between a start-up and a small and medium scale enterprise (SME). The evaluation is performed using a questionnaire. To highlight such progress, the same questions were asked at the start of the partnership and one year later. The results were compared to analyse the improvement of RC and draw conclusions on the correlation between RC and alliance performance.

The method adopted allowed for a clear identification of the criticalities of the partnership. The authors found evidence that poor RCs lead to confusion, a sense of exclusion and a lack of collaboration amongst members. Results confirmed that increased RC and aligning the allies' capabilities positively affect the alliance's performance.

Exogenous variables influencing the partnership's progress were not included in the present study. Future research may consider them.

Limited prior research is available on collaboration between SME and start-ups. The present authors aim to investigate the topic further, investigating RCs between firms. The article is also a starting point for future case study comparisons.

This study was developed in response to the need to develop age-friendly smart living environments due to the complex demands placed on society by the ageing of the population. This study aims to analyse the potential that knowledge visualisation offers collaborative decision-making applied to the development of a multiple criteria framework supporting knowledge management (KM) through knowledge collaboration (KC) and knowledge sharing (KS) in the context of regional innovation systems (RIS).

Using a socio-technical approach, knowledgeable and experienced representatives of RIS innovation actors were brought together to develop a constructivist multiple criteria framework that integrates knowledge visualisation and collaborative decision-making techniques (i.e. cognitive mapping and system dynamics).

The study introduces a multiple criteria model supporting KM encompassing conditions and practices of RIS innovation actors facilitating and encouraging KC and KS. The potential for knowledge visualisation in collaborative decision-making is explored in great depth and illustrated in a case study setting.

The panel members who participated in this study consider our methodological proposal to be extremely versatile and see great potential for further applications in RIS contexts.

The combined use of cognitive mapping and system dynamics according to the strategic options development and analysis (SODA) approach offers a holistic and well-informed perspective on the issue in question. The literature reports no prior work of this methodological combination in the same research context.

This study is aimed at making an inspection of the effects of collaborative innovation network characteristics on firm innovation performance, and the intermediary roles of knowledge transfer efficiency is taken into account.

This study used a convenient sampling method to obtain population and samples. Using data obtained by publishing online and paper questionnaires, and using on-site interviews in Anhui Province in the Yangtze River Delta region of China, descriptive analysis, regression analysis and correlation analysis are utilized to study the direct influence of collaborative innovation network characteristics on knowledge transfer efficiency as well as firm innovation performance, and the intermediary roles of knowledge transfer efficiency on firm innovation performance, respectively. In this study, 3,000 questionnaires were distributed to the employees of enterprises engaged in research and development (R&D) activities, of which 2,560 were valid. With the help of SPSS24.0 software, the reliability and validity of the questionnaire was analyzed.

The results are indicative of that network centrality and relationship strength positively affect knowledge transfer efficiency and firm innovation performance. Nevertheless, network scale has no significant correlation with knowledge transfer efficiency and enterprise innovation performance. In addition, knowledge transfer efficiency is an intermediary between collaborative innovation network characteristics and enterprise innovation performance, and positively affects enterprise innovation performance, which demonstrated that managers should take advantage of collaborative innovation network characteristics to elevate knowledge transfer efficiency because well-realized transferals of knowledge can help accelerate the coordination of resources in knowledge, and finally bring about the advancement of firm's innovation abilities and performance.

There are few previous studies that fully examined the relationships among collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. This paper developed previous researches on the relationships between collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. The mediation of knowledge transfer efficiency on the relationship between collaborative innovation network characteristics and firm innovation performance is analyzed. Further, studies on collaborative innovation network characteristics using data obtained from employees engaged in R&D activities are very limited in the literature. On account of that, the findings in this study may make sense to the innovation ability of innovative enterprise and expand the literature in the field of enterprise strategic management and knowledge management.

This analysis shows that collaborative innovation network characteristics have both positive and negative effects on firm innovation performance. Therefore, business managers should pay attention to their position in the collaborative innovation network and maintain the relationship strength with other innovation subjects. Special consideration should be given to the knowledge transfer of innovative enterprises, so as to improve firm innovation performance practically.

The study may provide additional understandings for researchers, government managers, universities and enterprises with regard to strategic management from the visual angle of innovation ecosystems. It is instrumental in the exploration of the mechanisms enabling firm innovation performance.

This paper aims to explore the characteristics of knowledge diffusion of library and information science to reveal its development trend and influence on other disciplines.

Based on the ESI discipline classification, this paper measures the knowledge diffusion from the library and information science to other disciplines over the last 24 years using indicators in four dimensions: breadth, intensity, speed and theme of knowledge diffusion.

The results show that the knowledge diffusion breadth of library and information science is wide, spreading to 21 ESI disciplines; the knowledge spread mainly concentrates in four soft or applied disciplines, and yet partially inter-disciplinary, and the knowledge diffusion intensity to each ESI discipline is parabolic whose highest point is mostly in 2004–2005; the speed of spreading to the 21 ESI disciplines is faster and faster, and the articles at the highest speed of knowledge diffusion are basically published after 2005; the knowledge diffusion themes are becoming increasingly diverse, deepening and specialization over time.

This paper modifies the relevant indicators of knowledge diffusion and constructs a measurement framework of knowledge diffusion from four aspects: breadth, intensity, speed and theme. The research method can also be used to explore the characteristics of knowledge absorption of a discipline from other ones.