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The study aims to present an insight into the research landscape of Library and Information Science (LIS) by India using a bibliometric visualization tool. The study analyses the research growth and trends, highly cited articles, productive publication titles, institutional and country collaboration.

The data were downloaded from the Web of Science Core Collection for a period of 20 years and analysed through VOSviewer, a data visualization software.

The results indicate that the overall annual contributions are increasing, although with uneven and slow growth from 2001 to 2014. However, the highest contributions and impact is witnessed over the past few years. All the top 10 cited papers are related to the area of information processing and management. The visualization technique made it clear that the area of research has made a transition from traditional concepts of library and information to novel ones involving big data, machine learning, altmetrics, etc. Also, the Indian Institute of Technology System, the Council of Scientific and Industrial Research and the Indian Institute of Management System have made the highest contributions. Furthermore, India shares maximum collaborations with the USA, followed by England and China.

The findings of this study would help readers to gain understanding about the contribution of India for the development of the LIS. It would also help researchers to identify the hotspots and left out areas of research in the Indian context that require further investigation, thus would help in policy decisions and future research. Furthermore, researchers will be sensitized about the network visualizations that can also help them to get connected with the peers. The study can also help the journals to recognize the trending topics, which will provide the researchers with the opportunities to work on the same. Funding agencies can also be benefitted by the findings of the current study as they will be informed about the research areas which need to be funded.

There are not many research studies that highlight the research trends in the area of LIS from India and visualize the collaboration among institutions and countries. The study tries to showcase the research trends and collaborative frameworks in the field of LIS in terms of network visualization.

The purpose of this study was to conduct a preliminary analysis of the role of higher education institutions (HEIs) in state climate science assessment (CSA) and state climate adaptation plan (CAP) development in the USA.

This study uses a content review of US state government and land grant (LG) university websites, including 36 CSAs and CAPs. These data informed the development of a tiered conceptual model of HEI engagement in state climate action planning. The conceptual model is evaluated through the lens of coproduction within knowledge networks.

HEI contributions to state-level climate action planning in the USA are highly variable, ranging from minimal engagement to defined roles in the development and implementation of robust state CAPs. Novel approaches to optimize effective exchange between scientists and decision-makers that also increase the engagement of academia are needed.

This study advocates for and provides a replicable example of HEI engagement in the development of mechanisms that increase the connectivity of in-state climate networks. Such mechanisms optimize information sharing and engagement, consequently building sustained capacity for in-state collaboration at the science–policy interface.

HEIs, particularly LG universities, are a stable source of state-specific climate science and expert assistance that persist beyond national and state political cycles. To the best of the authors’ knowledge, this research is the first to examine their unique contributions to climate science policy development and implementation. It investigates specifically the relationships and interactions between HEIs and state governments in the USA and offers a detailed case study from the state of Maine.

The aim of this study is to undertake a systematic analysis of the supply chain literature to uncover the changes and patterns of international cooperation in the context of the COVID-19 pandemic.

In this study, the information on supply chain-related publications in the Web of Science (WOS) database is analyzed using statistical techniques and visual approaches. The focus is on the five countries with the highest number of supply chain publications, accounting for approximately 70% of global publications. This in-depth analysis aims to provide a clearer understanding of the cooperation patterns and their impact on the supply chain during the COVID-19 pandemic.

The results of the study reveal that the growth rate of international cooperation in supply chain research during the COVID-19 pandemic is higher compared to the 5-year and 10-year periods before the pandemic. This suggests that the pandemic has not hindered international cooperation in the field, but instead has increased collaboration. In terms of international cooperation patterns, the findings indicate that China and the USA have a strong partnership, with China being the largest partner for the USA and vice versa. The UK's largest partner is China, India's largest partner is the UK and Italy's largest partner is also the UK. This implies that trade, rather than the pandemic, is a determining factor in supply chain research.

This study examines the patterns of international cooperation in supply chain research during the COVID-19 pandemic, providing insights into the changes and mechanisms of international cooperation in this field. Moreover, the results of this study may offer practical benefits for supply chain operators and managers. By providing a deeper understanding of the international cooperation patterns in the field, this research could contribute to the recovery and growth of the global supply chain.

This study's analysis of the impact of crisis events, such as the COVID-19 pandemic, on international cooperation in supply chain research contributes to the theoretical development of the field. Additionally, by examining how academia responds to emergencies, it provides valuable insights for operations and supply chain managers in their pursuit of more effective supply chain management.

This study provides a preliminary examination of the international cooperation patterns of supply chain research in the context of the COVID-19 pandemic, representing a novel and early contribution to the existing literature, helping to expand upon current understanding in the field and provide a more comprehensive perspective. Furthermore, this study offers a practical analysis strategy for future supply chain research, fostering progress and growth in the field.

The purpose of the study is to identify barriers to collaboration among female administrators at a Ghanaian technical university (TU), based on the social identity theory (SIT).

A mixed-method approach was adopted, integrating qualitative interviews of 15 female administrators and completing structured questionnaires from 117 randomly sampled female administrators. The SIT, as the analytical framework, identified themes emerging from the data on barriers to collaboration among female administrators. While exploratory factor analysis identified measures of factors hindering collaborations, the use of structural equation modeling (SEM) enabled the confirmation of relationships among the barriers to collaboration with female administrators.

There existed statistically significant relationships between four of the barriers: intergroup relations conflict, trust with stakeholders and among females and structural barriers (SBs). For the quantitative analysis, it was found that SBs, intergroup relations, conflict and trust were statistically significant except for weak cultures. For the qualitative, results showed that SBs, lack of trust with stakeholders and among females and intergroup conflict hinder collaboration.

The study has a limited scope in using only one TU and focusing on a particular gender. The implications of this research will enrich the literature on barriers to female administrative collaboration in technical education based on the SIT.

Promoting administrative collaborations in the TU will ensure sustainability and efficient administrative systems.

Institutional policies should include gender inclusivity and equality on networking opportunities and provide mentorship programs for efficient administrative systems.

We used the SIT to determine barriers to collaboration among female administrators in a technical education institution, and the mixed methodology added a unique dimension to the study.

The overall aim of this chapter is to focus on the process of, and issues warranting consideration for, the evaluation of educational interventions. In particular, to outline some key considerations for educators to follow when assessing the evidence-base for interventions they might be considering for use in their practice. Also, important considerations for those wishing to evaluate the effectiveness of an intervention they have initiated, as well as a useful checklist which summarises this all. Recognising that some readers of this chapter might be practitioners rather than researchers, it has been written with the practitioner in mind in, hopefully, a simple and practical way. There are, however, further opportunities for additional reading and resources signposted throughout for those who wish to read up on any of these areas more. In addition to those cited throughout and referenced in the Reference List at the end. There is also a section that provides the author’s Additional Recommended Readings and Resources to follow-up on. Readers might also want to refer to Chapter 3 in this book which discusses Single versus Multiple PPI approaches.

This paper presents a follow-on study that quantifies geolingual markers and their apparent connection with authorship collaboration patterns in canonical Digital Humanities (DH) journals. In particular, it seeks to detect patterns in authors' countries of work and languages in co-authorship networks.

Through an in-depth co-authorship network analysis, this study analysed bibliometric data from three canonical DH journals over a range of 52 years (1966–2017). The results are presented as visualised networks with centrality calculations.

The results suggest that while DH scholars may not collaborate as frequently as those in other disciplines, when they do so their collaborations tend to be more international than in many Science and Engineering, and Social Sciences disciplines. DH authors in some countries (e.g. Spain, Finland, Australia, Canada, and the UK) have the highest international co-author rates, while others have high national co-author rates but low international rates (e.g. Japan, the USA, and France).

This study is the first DH co-authorship network study that explores the apparent connection between language and collaboration patterns in DH. It contributes to ongoing debates about diversity, representation, and multilingualism in DH and academic publishing more widely.

The purpose of the study is to investigate how small- and medium-sized enterprises (SMEs) can effectively collaborate for eco-innovation using the business modes of innovation framework to emphasise three types of collaboration: “science, technology, and innovation” (STI), “learning by doing, using, and interacting” (DUI)-Vertical and DUI-Horizontal.

This analysis uses data from 838 SMEs in the Basque Country (2018–2020) to evaluate the effects of the three types of collaboration on eco-innovation. The authors employ a propensity score-based method to address potential bias associated with endogeneity in innovation studies.

The findings suggest that DUI-Vertical collaboration has a positive relationship with the development of product, process and marketing eco-innovation. Furthermore, DUI-horizontal collaboration is the most effective collaboration mode for SMEs, positively impacting their overall eco-innovation portfolio. Finally, STI collaboration is positively associated with product eco-innovation.

Policymakers should support SMEs by designing programmes that facilitate collaboration between competing firms to stimulate eco-innovation, but potential challenges of coopetition must be addressed. Rather than a generic, one-size-fit-all approach, SMEs' managers should identify the most appropriate partners corresponding to their specific eco-innovation goal, ensuring a more effective and targeted. Collaboration between science partners and SMEs should be reinforced by approximating the SMEs' needs more effectively.

This study contributes twofold. Firstly, the authors investigate whether the STI and DUI modes of innovation are determinant factors in the introduction of various types of eco-innovation. Secondly, the authors contribute to the literature on business modes of innovation by differentiating between DUI-Vertical (i.e. suppliers, customers and consultancy) and DUI-Horizontal (i.e. competitors) collaboration, thus highlighting the complexity of DUI collaboration forms.

This study aims to investigate the importance and effect of asymmetric technological collaborations’ key success factors in developing countries. The number of collaborations between large enterprises and SMEs, known as asymmetric technological collaborations (ATC) is growing considerably. But this asymmetry in itself can increase the number and intensity of collaboration challenges. So far, limited studies have been conducted on the stability of ATCs, and most of them have been in the context of developed countries. Meanwhile, studying the strength and stability of collaboration in the nano industry with growing market value and increasing newcomers is of particular importance.

Here, with bionic engineering approach, we used chemistry for the first time to identify the main stability factors of ATCs and build our hypotheses and research model. To this end, we introduced the factors affecting the stability of the dative chemical bond as a bionic counterpart of corporate venture capital (CVC), which is a type of ATC, and proposed 4 hypotheses. We used structural equation modeling (SEM) with partial least squares (PLS) method to examine the hypothesized relationships.

The analysis of survey questionnaire data from 26 asymmetric collaborations in Iran’s nanotechnology industry shows that “learning of the acceptor company” with a negative effect, “network ties” and “development of the collaboration host region” with a positive effect and “diversity in the collaboration portfolio” with an inverted U-shaped effect are the most influential factors in the stability and continuity of CVCs, respectively.

The findings of this research can be the beginning of a broad path leading to exploring and getting inspiration from chemistry to analyze management issues.

International collaboration in higher education and research is considered crucial for economic growth and development. The policy pursued for international research collaboration depends on conditions in other geographical regions and countries, such as trade interests, conflicts, security, and pandemics, hence the term geopolitics. These conditions can be expected to have a major impact on how relationships and cooperation patterns develop. The handling of these issues is discussed in this chapter in the framework of the European policy context as well as through empirical examples regarding the dependence of international recruitment of researchers in two Scandinavian countries, Denmark and Norway. The chapter points to the possible barriers current geopolitical challenges may have for the realization of European as well as national policies for internationalization in higher education. Inequalities depending on gender, career stage, country of birth and other factors have intensified during the pandemic and academic autonomy and freedom of individual researchers and scientific communities are at stake due to a geopolitical situation, which entails increased control with knowledge transfer and research collaboration across national borders. These developments require more complex, targeted safeguarding and policies to protect collaboration in higher education and research.

The purpose of this commentary is to complete the synthesis of the United Nations 17 Sustainable Development Goals (SDGs) into Seven Commentaries on Service Research Themes developed by ServCollab and the Journal of Services Marketing. As an approach to achieving SDG #17, ServCollab’s collaborative logic and design perspective for collaboration services for sustainable development partnerships are presented.

Collaboration is ServCollab’s Service Research Theme #7, which reframes the UN SDG meta goal #17 of Partnerships. In prior ServCollab research, four possible human interactions were identified: conflict, competition, cooperation and collaboration. Only the shared purpose of collaboration enables elevating the human experience.

The authors found no published service research that studied SDG #17, which means there are huge opportunities for service research on the role of collaboration in service systems. The alignment between the UN SDGs and ServCollab’s goals is explored. A research agenda for service research and SDG goals was proposed for collaborative communications, collaborative technologies and collaborative projects.

Practical ideas are offered for serving humanity through collaboration. Collaborations are the only practical solutions to humanity’s myriad sustainable development problems.

When the United Nations developed its first 16 SDGs, they knew that accomplishing these goals required complex collaborations. That is why SDG #17 is Partnerships. ServCollab’s serving humanity logic applies collaboration to all social settings (large or small) where working together can sustain and regenerate the service ecosystem of Planet Earth.

This commentary describes a unique approach to building collaborative capacity for conducting service research projects for sustaining and regenerating the service ecosystem of Planet Earth.