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The purpose of this research was to investigate how to measure the performance of research and technology collaborations and to subsequently improve the management of university‐industry collaborative projects.

Literature studies have been carried out on the performance measurement of collaborative relationships and this has been augmented by research involving interviews with 32 relevant stakeholders.

The study has allowed a new performance measurement tool to be developed that is based on a conceptual model of research collaboration as a transformation process. This process incorporates the key findings from the literature and empirical studies, namely the need for technical, project, business and social inputs as well as knowledge and sustainability process outputs.

The research focuses on university‐industry collaborations and although the performance tool may be applied to other forms of collaboration, there may be elements specific to the application under investigation.

The new performance measurement tool can be used by academic faculty and professional services staff within universities to improve the management of research collaborations as well as by industry to help manage collaborations with universities. Both types of organisation can use the tool to help inform business and technical strategy.

The performance tool incorporates key requirements identified in the literature together with the findings from a consultation with a diverse group of highly experienced stakeholders; therefore, it provides a rigorous assessment of the issues and requirements for the management of research collaborations.

The research purpose is to analyse when and how innovation support programmes (ISPs) can affect collaboration between universities and established small and medium sized enterprises (SMEs). The paper specifically considers SME’s absorptive capacity.

A Swedish research centre is studied in the context of innovation support and two of its SME-ISPs are examined with regards to industry–university collaboration and impact on firm innovation capabilities. Data collection and analysis are performed, using interviews, survey answers, document search and reflectional analysis to evaluate processes and effects of the centre and the programmes.

A developed research centre, integrated into both academia and industry, can support translational collaboration and promote SME innovation absorptive capacity. The action learning elements and the organisational development approaches used when coaching in the ISPs contribute to the SMEs internal absorption capacity and collaborational skills. Organising collaboration into ISPs can provide a relational path to future collaboration with universities, which, for example start with student projects.

The study, though limited to one Swedish region, adds to empirical innovation research as it connects industry–university collaboration and absorptive capacity to organisational learning.

The empirical results indicate possible long-term gains for industry and universities in building collaborative innovation into SME-ISPs.

The contribution of this study pertains to the practice of innovation support for established SMEs with the inclusion of absorption capacity and collaborative innovation development.

The purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.

The authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.

The authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.

This study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

This paper aims to introduce a systematic computing and analytical procedure that is applied to the co-author network to identify the temporal evolution and growth of research collaborations in the area of e-governance. The empirical analysis of the temporal co-author network can trace the emerging authors and knowledge bursts over time.

The study applied social network theory to trace the author collaboration patterns in the domain of e-governance. Analysis of the co-author network using micro and macro parameters was done to trace the temporal evolution of the author collaborations.

E-governance is a multi-disciplinary research domain split over streams of management, politics, information technology and electronics. Hence, research collaborations play a significant role in its advancement. The knowledge sharing between individual authors, institutions and groups through research collaborations, resulting in extensive sharing of data, equipment and research methods, has boosted research activities and development in e-governance. In this paper, the authors systematically analyse the current scenario of research collaborations in the area of e-governance using co-author network to estimate its impact on the advancement of the field. The authors also analysed the temporal evolution of the co-author networks, which show remarkable growth of research collaborations in the domain of e-governance from the year 2000.

The co-author network analysis is only a proxy measure for the analysis of research collaborations. The names of the authors and the university affiliations used in the article are as retrieved from the research repository of Scopus. The degree, citations and other parameters related with authors have scope only within the environment of the co-author network used in the analysis. The criteria used in the study is limited to the degree of research collaborations and the number of co-authored publications in the giant component of the co-author network.

Institutions, authors and governments can trace and select suitable topics and choose research groups of co-authors over the world for future research collaborations in e-governance. The knowledge about the emerging and most discussed topics gives an overview of the global research trends of e-governance.

The study identified the evolution of creative collaborations in e-governance in the global perspective. The methodology introduced here is helpful to detect the proficient and productive author collaborations and the spectrum of related e-governance research topics associated with them. As the author collaborations can be mapped to the institutional and country-level collaborations, the information is helpful for researchers, institutions and governments to establish the best collaborations in e-governance research based on the author proficiency, collaboration patterns and research topics as per the requirements.

The paper introduces a novel research methodology using temporal analysis of co-author network to identify the evolution of research patterns and the associated research topics.

The coronavirus disease 2019 (COVID-19) pandemic has greatly impacted society and academic life and research practices. This study is an attempt to comprehend whether a global emergency of COVID-19 pandemic has an impact on researcher international collaboration. The authors analyze the research collaboration before and after the beginning of the COVID-19 pandemic to understand how scientists collaborated within their own nation's borders and beyond.

The authors analyze the research collaboration before and after the beginning of the COVID-19 pandemic to understand how scientists collaborated within their own nation's borders and beyond. The authors collected a dataset of research publications published in journals in the research area of business and economics and indexed in the WoS Core Collection database by researchers from 11 countries (Austria, Denmark, Greece, Indonesia, Iran, Ireland, Korea (South), Mexico, Pakistan, Romania and Vietnam). In total, 14,824 publication records were considered for the literature analysis. This study presented the scientometric analysis of these publications using bibliometric, statistical, factor analysis and network analysis methods. The results are evaluated and interpreted in the context of the Hofstede's model of cultural dimensions. The results of this study provide evidence to research management to properly allocate their efforts to improve the researcher cooperation during the ongoing COVID-19 pandemic and to overcome its negative outcomes in the years to come.

The results of our study show that uncertainty avoidance as the cultural factor defined by the Hofstede's model has significantly influenced the properties of research collaboration networks in the domain of business and economics. Uncertainty avoidance focuses on how cultures adapt to changes and cope with uncertainty, while the global COVID-19 pandemic introduced a lot of change and uncertainty all levels of society around the world.

The study exclusively examines 14,824 research outputs which have been indexed in the WoS Core Collection database from 2019 till 15 November 2020 and only covered one research area (business economics). Thus, documents published in any other different channels and sources which are not covered in WoS are excluded from this study. The authors have analyzed the publications from just 11 countries, which represent a small part of the global research output. Also, the Hofstede’s cultural dimensions model is not a unique way to study cultural characteristics at the national level.

The results of this study will provide evidence to research management to properly allocate their efforts to improve the researcher cooperation during the still ongoing COVID-19 pandemic and to overcome its negative outcomes in the years to come.

Considering the global impact and social distress due to the outbreak of COVID-19 pandemic, this study is significant in the present scenario for identifying the changes in the characteristics of research collaboration networks of 11 diverse (in terms of geographical distribution and cultural differences in terms of the Hofstede’s cultural dimensions model) countries between 2019 (the year before COVID-19) and 2020 (the year of COVID-19), which has not been done before.

The purpose of this paper is to map and visualise collaboration patterns and citation impact of the library and information science research in sub-Saharan Africa between 1995 and 2016.

Data were extracted from the Thomson Reuters’ citation indexes using the name of the country in an advanced search platform. The search was limited to documents designated as articles. Data were analysed using the VosViewer software to obtain network maps and frequencies of occurrence.

The findings reveal that publication and citation impact of LIS research in sub-Saharan Africa has continued to grow since 1995; foreign countries have immensely contributed to the evolution and development of LIS research in the region; research collaboration occurs both regionally and internationally, with the latter being the most prominent; South Africa, Nigeria and Kenya are the most active participants in LIS research collaboration in the region; and that on average, international collaboration in LIS research in sub-Saharan Africa attracts more citations than other types of collaboration.

The study was limited to the data indexed in the Web of Science citation indexes and focused on sub-Saharan African countries only.

Collaboration is said to lead to increased research output and impact, hence the need for sub-Saharan African researchers and institutions to initiate strategies that will create conducive environments for research collaboration. There is need for collaborative ventures between LIS practitioners and educators as well as increased cooperation among LIS schools within and outside of sub-Saharan African countries. Partnerships involving students and programmes such as research fellowship, post-doctoral researchers as well as visiting researchers may complement any existing strategies that can be pursued to increase collaborative research in LIS in the region.

The paper, while drawing lessons from previous papers, adopted a variety of techniques to examine collaboration patterns and impact of LIS research over a longer period of publication time, i.e. 1995 to 2016, and a larger geographic scope.

The purpose of this paper is to explore university‐industry collaboration in research centres.

The paper builds on an explorative study of three research centres at a technical university in Sweden, using in‐depth interviews. The three research centres, Alpha, Beta and Gamma, have various degrees of involvement with industry.

A total of four broad forms of collaboration are suggested: distanced, translational, specified and developed collaboration.

The paper shows that the different institutional logics of academic actors, industry actors and funding agencies can be present in collaborations in (at least) four different ways resulting in four different types of research processes. Since not all actors are likely to be equally satisfied in all types of collaborations, the continued development of the research centres will be at risk.

If the role of the research centre is to be a forum for collaboration, the research centre has to be a good mediator between the actors in order to ensure their satisfaction with the research centre within and between projects. If, in contrast, the role of the research centre is to be a facilitator of collaboration, the research centre needs to enable the actors to learn how to interact with each other in order for the distanced, translational, specified collaboration to evolve into developed collaboration.

Few studies have focused on the collaborations per se in research centres, taking the different institutional logics of the actors involved in the collaboration into account.

The purpose of this paper is to provide scholarly and practical benefits by detailing the past and suggesting a future research agenda for supply chain (SC) collaboration. A literature review is utilized to examine what has been investigated prior, and what remains to be analyzed, in order to assist today’s managers and researchers. The research expands the understanding of SC collaboration from a focal firm perspective while providing boundaries for future investigation and at the same time detailing the current state of collaboration to practitioners.

The current research utilizes a systematic review of the literature to shape a proposed research agenda on the topic of SC collaboration.

The paper provides insights into gaps in the literature as it pertains to SC collaboration. Specifically, the paper suggests investigating SC collaboration as it relates to perceived and real performance, understanding what know-how and commitment a focal firm must make to SC collaboration, and how to successfully navigate collaboration termination.

This manuscript makes four specific contributions to the literature. First, it provides the first holistic graphic depiction of the central constructs employed in extant SC collaboration research. Next it examines three specific factor areas influencing collaboration. Overlooked issues are then revealed as suggestions for future research in SC collaboration. Finally, the method employed to conduct the systematic literature review can be used as a blueprint for future researchers in performing a similar exercise.

The current research seeks to provide a research agenda which meets the needs of today’s business managers.

The paper provides a suggested research agenda for SC collaboration.

During recent decades, research institutions have increased collaboration with other institutions since it is recognized as a good practice that improves their performance. However, they do not usually consider external collaborations as a strategic issue despite their benefits. The purpose of this paper consists of identifying different patterns of collaboration and internationalization of universities, with the aim of helping managers and policy makers to take decisions related to their national research policies.

Co‐authorship analysis has been used in conjunction with social network analysis to model inter‐institutional collaborations as networks, extracting these collaborations from the Web of Science database. Using several structural properties of the extracted networks and applying a statistical treatment, the main profiles of collaborations and internationalization have been obtained.

Obtained results distinguish three patterns of collaborations according to the intensity and scope of collaborations. The statistical treatment also provides a segmentation of universities according to their collaboration profiles. Finally, universities are represented in bi‐dimensional maps using external collaborations as a measure of similarity.

Although this study is restricted to English universities, it could probably be extended at least to other countries in the European Union or even other developed countries.

Research and institutions productivity are usually linked to the amount of received funding. The use of indicators related to internationalization of institutions can help to avoid a bias in favour of research quantity rather than quality, and towards a short‐term performance rather than a long‐term research capacity.

As a difference to previous works, this paper analyses networks of collaboration from the viewpoint of institutions. More specifically, the combination of social network analysis and factor analysis is used to identify patterns of collaboration among institutions. A longitudinal study is also included to demonstrate that the obtained categorization of universities is maintained over time.

The purpose of this paper is to examine the issues of integrating R&D globalization, national innovation system, university‐industry (U‐I) knowledge transfer, and international U‐I collaboration.

A framework for research on internationalization of U‐I collaboration is proposed and the process of international U‐I collaboration could be categorized Processes A (including A1‐A2‐A3), B, C and D. The framework is applied to explore the process and contribution of international U‐I collaboration in China based on the cases studies of Philips' Brainbridge program and institute for the study of the ancient world (ISAW) international cooperation.

Processes A and B are confirmed in this research. Through the international U‐I collaboration, foreign universities contribute to the development of innovative capabilities of industries in China, while the foreign companies could play roles in the China's national innovation system. The research suggests that the international U‐I collaboration could be used as a bridge to connect strategies of R&D globalization to the improvement of national innovation system. With the internationalization of U‐I collaboration, the national innovation system would be developing to global innovation system. Moreover, this paper provides a method of technological internationalization and practical suggestions to the management of U‐I collaboration.

More empirical research is necessary to further examine this framework.

This paper provides a framework to analyse the process of international U‐I collaboration. Additionally, it enriches the research on R&D globalization from the industrial fields to the academics and the research on national innovation system. The findings will contribute to the practice and diffusion of international U‐I collaboration from the industrial and governmental levels.