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The purpose of this paper is to present a conceptual framework that explores the determinants, mechanisms and consequences of reporting on the United Nations Sustainable Development Goals (UN SDGs) by universities. The framework considers the relationship between reporting on the SDGs and the three main activities of universities: research, teaching and service. As universities hold a unique position in society, understanding their experiences with SDG reporting offers insights into the promotion and integration of SDGs into reporting and practice more broadly.

The paper adopts a conceptual approach and draws on existing literature to develop a framework for understanding reporting on the UN SDGs by universities. The framework considers the challenges faced by universities in providing sustainability information and examines the motivations and outcomes associated with reporting. It also explores the coordination and collaboration necessary across departments within universities and discusses the risks associated with greenwashing.

The paper highlights that reporting on the UN SDGs can enhance university engagement with stakeholders, improve their reputation, and foster innovation and transdisciplinary research ideas. However, universities encounter challenges such as limited data availability, resource constraints, lack of coordination and competing priorities. The growing scepticism surrounding reporting motives has led to increased allegations of greenwashing within the sector.

This paper contributes to the accounting literature by presenting a comprehensive framework that explores the determinants, mechanisms and consequences of reporting on the UN SDGs by universities. The framework offers insights into how reporting on SDGs can lead to embedding the SDGs in research, teaching and service activities and can be adapted to other organisational contexts. The paper also emphasises the need for further research on the mechanisms of reporting, which play a crucial role in driving long-lasting change.

This study aims to investigate the facilitating conditions (FCs) and how these FC affect institutional repository (IR) sustainability practices in public universities in Nigeria.

A survey research design was adopted in this study. The study population comprised 542 librarians from public universities that have IRs across Nigeria. A sample size of 230 librarians was determined using Taro Yamane’s formula. A multi-stage sampling technique was used to select the respondents in three stages, which were purposive, stratified and purposive sampling. A structured, validated questionnaire was used for data collection. Data were analyzed using descriptive and inferential (simple and multiple regression) statistics at a 5% level of significance.

The result revealed that the availability of FCs (ßeta = 0.459, t(211) = 7.719, p = 0.000) has a positive and significant influence on IR sustainability in public university libraries in Nigeria. The F-test (1, 223) value of 59.582 shows that there is sufficient evidence to substantiate the model’s usefulness in explaining IR sustainability. The R² (0.211) indicates that 21.1% of the variation in IR sustainability is explained by the availability of FCs in public university libraries in Nigeria. The finding suggests that the availability of FCs is a vital predictor of IR sustainability in public university libraries in Nigeria. The result also depicts that out of the eight parameters that measure the availability of FCs, it was current awareness of IR that had a positive and significant influence on IR sustainability.

This study concluded that ICT skills and FCs are contributory factors to IR sustainability practices by librarians in public university libraries in Nigeria. It was recommended that university administrators formulate policies that promote the sustainability of IR and provide adequate funds to support IR sustainability. Furthermore, the library management in public university libraries in Nigeria should drive content recruitment and create awareness of the IRs among students and faculty to ensure continued use.

This study aims to highlight the growth and development of Indo-German collaborative research over the past three decades. Moreover, this study encompasses an in-depth examination of funding acknowledgements to gain valuable insights into the financial support that underpins these collaborative endeavours. Together with this paper, the authors provide an openly accessible data set of Indo-German research papers for further and reproducible research activities (the “Indo-German Literature Dataset”).

The data were retrieved from the Web of Science (WoS) database from the year 1990 till the 30th of November 2022. A total of 36,999 records were retrieved against the used query. Acknowledged entities were extracted using a named entity recognition (NER) model specifically trained for this task. Interrelations between the extracted entities and scientific domains, lengths of acknowledgement texts, number of authors and affiliations, number of citations and gender of the first author, as well as collaboration patterns between Indian and German funders were examined.

The study reveals a consistent and increasing growth in the publication trend over the years. The study brings to light that Physics, Chemistry, Materials Science, Astronomy and Astrophysics and Engineering prominently dominate the Indo-German collaborative research. The USA, followed by England and France, are the most active collaborators in Indian and German research. Largely, research was funded by major German and Indian funding agencies, international corporations and German and American universities. Associations between the first author’s gender and acknowledged entity were observed. Additionally, relations between entity, entity type and scientific domain were discovered.

The study paves the way for enhanced collaboration, optimized resource utilization and societal advantages by offering a profound comprehension of the intricacies inherent in research partnerships between India and Germany. Implementation of the insights gleaned from this study holds the promise of cultivating a more resilient and influential collaborative research ecosystem between the two nations.

The study highlights a deeper understanding of the composition of the Indo-German collaborative research landscape of the past 30 years and its significance in advancing scientific knowledge and fostering international partnerships. Furthermore, the authors provide an open version of the original WoS data set. The Indo-German Literature Data set consists of 22,844 papers from OpenAlex and is available for related studies like literature studies and scientometrics.

This study aims to analyze the effectiveness and efficiency of research-based community service programs in Indonesia that used government funds in 2017–2021.

The design of this research is a quantitative research method using a data envelopment analysis to evaluate 370 leading universities in Indonesia. Furthermore, six analytical models were considered to compare effectiveness and efficiency between universities. It involved two resource (budget and staff academic involved), three output (intellectual property, prototype and publication) and three outcome variables (economic impact, social impact and capacity building).

The findings showed that several universities are considered necessary, with great potential to increase output and outcome efficiency in community involvement. The study mapped and divided the position of 370 universities for additional information. The effectiveness aspect provides another perspective in assessing the performance of tertiary institutions in Indonesia and can be an option for evaluating research performance to improve the quality of output.

The authors use data from research and community service management information systems used, both the resources used and the results. Efficiency and effectiveness of 370 universities were compared in this study, including comparing their position on the previous assessment with the assessment of the results of this study. Approach to the concept of Mandl et al. (2008) regarding the relationship between input, output and outcome as the main component of the indicators, the authors apply to analyze efficiency and effectiveness.

This paper deals with types and actors of entrepreneurship in and around academia in Russia, as well as with institutional settings of the entrepreneurial activity of academic faculty.

This paper is based on a series of semi-structured interviews using the purposive snowball method (2022–2023). The respondents are either engaged in different kinds of entrepreneurship in and outside universities in Moscow and Nizhny Novgorod or experts in entrepreneurship in and around academia.

A double mixed embeddedness driven approach to the typology of diverse forms of entrepreneurship in and around academia are shown in the context of the temporality as well as of the micro-, meso- and macro-level institutions, such as the low demand in innovations in the economy; uncertainty of property rights; limited interest of university administration in academic entrepreneurs or its focus solely on students' entrepreneurship; and necessity entrepreneurship motives on the micro-level. The research limitations of the study are the small number of observations and the localisation of the panel in only one country.

The research limitations of the study are the small number of observations and the localisation of the panel in only one country.

The “Special Military Operation” and its consequences would hinder bottom-up academic entrepreneurship in the country, while pushing universities to launch R&D with the big industry, and forcing many faculties to non-academic entrepreneurship.

For the first time, the broad variety of entrepreneurial activities of academic staff including the specifics of non-classical forms of entrepreneurship in and around academia and their embeddedness into different contexts are discussed.

The purpose of this chapter is to highlight how universities got into the predicament in which they currently find themselves in, or somewhat planned to be in, in the 2020s. The historical account outlines the purpose of higher education and who it was for throughout the last few centuries, before a more in-depth analysis of the last few decades will highlight how, and why, neoliberal and subsequently managerial aspects of leadership and performance metrics crept into universities before an analysis of the last 5–10 years, including the onset and consequences of COVID, will demonstrate that many ‘COVID recovery plans’ around staff cuts and course reforms were already in place before COVID, but it was COVID that allowed these plans in most cases to be escalated.

This paper aims to seek answers to the question: What are the relevant factors that allow not-for-profit innovation networks to successfully transition new technologies from proof-of-concept to commercialisation?

This question is examined using the knowledge-based view and network orchestration theory. Data are collected from 35 interviews with managers and engineers working within seven centres that comprise the High Value Manufacturing Catapult (HVMC). These centres constitute a not-for-profit innovation network where suppliers, customers and competitors collaborate to help transition new technologies across the “Valley of Death” (the gap between establishing a proof of concept and commercialisation).

Network orchestration theory suggests that a hub firm facilitates the exchange of knowledge amongst network members (knowledge mobility), to enable these members to profit from innovation (innovation appropriability). The hub firm ensures positive network growth, and also allows for the entry and exit of network members (network stability). This study of not-for-profit innovation networks suggests the role of a network orchestrator is to help ensure that intellectual property becomes a public resource that enhances the productivity of the domestic economy. The authors observed how network stability was achieved by the HVMC's seven centres employing a loosely-coupled hybrid network configuration. This configuration however ensured that new technology development teams, comprised of suppliers, customers and competitors, remained tightly-coupled to enable co-development of innovative technologies. Matching internal technical and sectoral expertise with complementary experience from network members allowed knowledge to flow across organisational boundaries and throughout the network. Matrix organisational structures and distributed decision-making authority created opportunities for knowledge integration to occur. Actively moving individuals and teams between centres also helped to diffuse knowledge to network members, while regular meetings between senior management ensured network coordination and removed resource redundancies.

The study contributes to knowledge-based theory by moving beyond existing understanding of knowledge integration in firms, and identified how knowledge is exchanged and aggregated within not-for-profit innovation networks. The findings contribute to network orchestration theory by challenging the notion that network orchestrators should enact and enforce appropriability regimes (patents, licences, copyrights) to allow members to profit from innovations. Instead, the authors find that not-for-profit innovation networks can overcome the frictions that appropriability regimes often create when exchanging knowledge during new technology development. This is achieved by pre-defining the terms of network membership/partnership and setting out clear pathways for innovation scaling, which embodies newly generated intellectual property as a public resource. The findings inform a framework that is useful for policy makers, academics and managers interested in using not-for-profit networks to transition new technologies across the Valley of Death.

The implementation of income-generating still faces problems, such as the lack of well-established internal control and differences in implementation in each unit. This study aims to analyze internal controls, financial viability (FV) and leadership qualities (LQ) in the implementation of income-generating in Indonesian higher education.

This study is quantitative and uses a causal approach. The population of this research is the unit leader and the person in charge of the activity that generates income, with a total sample of 111 people. The sampling technique used is simple random sampling. Data were analyzed using moderation regression analysis (MRA) with the WrapPLS (partial least square) analysis tool.

The results indicate that internal control and FV significantly affect the management of income-generating. The existence of LQ as a moderating variable can moderate and weaken the influence of internal controls and FV on the management of income-generating. In this finding, the unit leader and the person in charge of activities that generate income in higher education need to improve managerial skills, including ethics, uphold integrity, clear vision, quick adaption, honestly and trust so that the management of income-generating can achieve higher education goals more effectively and efficiently.

This research shows that universities need to create a good environment to build an ecosystem that can improve the management. The university encourages the good management by strengthening the leadership. However, the research has a limitation: the study was only conducted in one state university.

The implementation of income generation in the public financial management system of legal entity universities requires accountability for sources of income so that internal controls and the role of finance are needed to ensure the continuity of universities.

This chapter acts as an introduction to the book, where it sits in the current literature, why it contributes something new and why that contribution is important to the field. In some respects, the introduction acts as a literature review which allows the book to both build on and augment current thinking. The primary function of the introduction will be to highlight that this book removes itself from ideological aspirations of returning to a university governed by and for scholars and instead highlights the dangers of managerialism, how Freire helps highlight those dangers and subsequently what a realistic path forward might be to minimise the damage of several decades of the neoliberal university.

This research aims to explore the research data ethics governance framework and collaborative network to optimize research data ethics governance practices, to balance the relationship between data development and utilization, open sharing, data security and to reduce the ethical risks that may arise from data sharing and utilization.

This study explores the framework and collaborative network of research data ethics policies by using the UK as an example. 78 policies from the UK government, university, research institution, funding agency, publisher, database, library and third-party organization are obtained. Adopting grounded theory (GT) and social network analysis (SNA), Nvivo12 is used to analyze these samples and summarize the research data ethics governance framework. Ucinet and Netdraw are used to reveal collaborative networks in policy.

Results indicate that the framework covers governance context, subject and measure. The content of governance context contains context description and data ethics issues analysis. Governance subject consists of defining subjects and facilitating their collaboration. Governance measure includes governance guidance and ethics governance initiatives in the data lifecycle. The collaborative network indicates that research institution plays a central role in ethics governance. The core of the governance content are ethics governance initiatives, governance guidance and governance context description.

This research provides new insights for policy analysis by combining GT and SNA methods. Research data ethics and its governance are conceptualized to complete data governance and research ethics theory.

A research data ethics governance framework and collaborative network are revealed, and actionable guidance for addressing essential aspects of research data ethics and multiple subjects to confer their functions in collaborative governance is provided.

This study analyzes policy text using qualitative and quantitative methods, ensuring fine-grained content profiling and improving policy research. A typical research data ethics governance framework is revealed. Various stakeholders' roles and priorities in collaborative governance are explored. These contribute to improving governance policies and governance levels in both theory and practice.