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Much has been analyzed regarding the origins and the impact of rankings and metrics on policies, behaviors, and missions of universities. Surprisingly, little attention has been allocated to describing and analyzing the emergence of metrics as a new action field. This industry, fueled by the “new public management” policy perspectives that operate at the backstage of the contemporary pervasive “regime of excellence,” still remains a black box worth exploring in depth. This paper intends to fill this loophole. It first sets the stage for this new action field by stressing the differences between the policy fields of higher education in the United States and Europe, as a way to understand the specificities of the use of metrics and rankings on both continents. The second part describes the actors of the field, which productive organizations they build, what skills they combine, which products they put on the market, and their shared norms and audiences.

I historically compare changes in institutional frameworks creating academic positions linked to temporary employment by analyzing university employment statistics in Chile, Colombia, Germany, and the USA. I find that temporary academic positions were institutionalized through the creation of previously inexistent academic categories called a contrata in Chile, de cátedra in Colombia, “junior professor” without tenure in Germany and “postdoc” in the USA; used in higher education and employment laws since 1989, 1992, 2002, and 1974, respectively. Under institutional frameworks demanding the maximization of students and research, universities have increasingly contracted academics through temporary contracts under rationales that differ between regions. In Colombia and Chile, public university leaders and owners of private universities contract such teaching positions to expand student numbers through lowering costs. In Germany and the USA, employment insecurity is mostly driven by temporary scientific positions under a main rationale of scientific expansion. The share of temporary positions has increased exponentially in Colombia and Germany in recent decades, whereas in the USA there has only been an increase since 2012. Moreover, in Chile, the share of permanent positions has decreased since 2012. The common trend is one of isomorphism of vertical academic structures sharing a pyramidal form, with a wide base of academics working under conditions of contractual insecurity. Such trends follow a rationale for maximization of student numbers as well as administration, and scientific production that is in tension with prioritizing wellbeing and improvement of academics’ working conditions. Yet, in these environments, the institution of tenure in the USA and recent Chilean regulations on accreditation represent mechanisms counteracting precarious employment.

Due to excessive carbon dioxide emissions, the world is facing environmental devastation. Energy and environmental innovations are considered to be critical tools in combating the growing CO₂ emissions. Developing these innovations requires extremely high investments in research and development processes, where knowledge is generated as one of the important outputs. This knowledge serves as a basis for innovation development and raising awareness among all relevant stakeholders about excessive environmental degradation. One of the significant sources of knowledge is scientific publications. Therefore, the aim of this research is to examine whether increased CO₂ emissions stimulate the scientific community to publish a greater number of papers, as well as whether the knowledge contained in these publications is utilized in reducing CO₂ emissions. The sample consists of G7 member countries. The time frame of the research is 1996–2019. The dynamic properties of the vector autoregression (VAR) models were summarized using impulse response function and variance decomposition forecast error. In most G7 countries, it has been determined that an increase in scientific production in environmental science and energy leads to a reduction in CO₂ emissions. On the other hand, increased CO₂ emissions affect higher scientific productivity in environmental science and energy only in Canada.

Purpose – Purpose of the research is to make a comprehensive study to elucidate the existing landscape of scientific production of disease outbreaks, pandemics and tourism research. In doing so, authors analyzed scientific production of pandemics and tourism-related studies such as year-wise publications, productive authors, institutes, funding sponsors, thematic areas of research and citation analysis.

Design/methodology/approach – Authors analyzed the research papers indexed in the online Scopus database over 50 years of time starting from 1971 to 2020 by using bibliometrics, and the data are visualized by using data visualization tools like VOSviewer and the Tableau.

Findings – The understanding of disease outbreaks and pandemics in tourism has increased over the years in terms of number of papers, citation, networks and collaborative themes of research.

Research limitations/implications – Data for the study were generated from Scopus online database and limited to English-written journal articles that were produced with search strategy of specific keywords associated with tourism, virus, pandemics and disease outbreak.

Practical implications – Findings of the research provide insights into academia and practitioners on the understanding of disease outbreaks, pandemics and tourism research, coherent development of the concept and understanding the research gap and focussed area of research.

Originality/value – As per authors' understanding, this paper would be one of the first attempts to provide greater understanding of disease outbreaks, pandemics and tourism as a research topic by examining the growth and evolution in an academic context through bibliometric analysis.

Paper type – Review paper.

The popularity of cryptocurrency and blockchain technology has been increasing in recent years. Thus, the study uses bibliometric analysis to examine the development of research on cryptocurrency and blockchain trends.

The very few researchers analyse the bibliometric trends in blockchain and cryptocurrency research to classify the articles according to research methodology and journal quality. Further, a complete study of citations or co-citations based on co-occurrence analysis needs to be added to the bibliometric research. Therefore, it is required to study this topic in detail.

The VOSviewer software and Scopus analysis are used to conduct a bibliometric study on the biographies of articles published on cryptocurrency and blockchain trends. A total of 1,186 papers from the Scopus database are retrieved to analyse the trends in this field of research.

The study examines the total citations, papers with the most citations, authors and journals, prominent institutions and country contributions. In addition to listing the top 10 most significant articles with their years of publication and total citations, this study provides insight into the top 10 prominent journals of cryptocurrency and blockchain trends. Additionally, during the past 15 years, the United States and the United Kingdom have received the most citations and publications on cryptocurrencies and blockchain trends. This study also identifies and critically investigates the top 10 journals in the specialised field with the highest Source Normalized Impact per Paper (SNIP), SCImago Journal Rank (SJR) and citation scores.

University administrators are increasingly using a range of metrics to evaluate the “quality” of work being undertaken at their institutions. The unit of analysis for these assessments varies from Department (England), field of research (Australia), and the like, but inevitably the assessment works its way to individual researchers. This poses a major challenge for administrators and even more so for researchers. Shifts in institutional policy to meet the challenges of funding and reputation/esteem of rising in the ranks raise a number of questions concerning the temporality and value of academic labor. Notably, decisions about the worth of academic labor are often well removed from the undertaking of that labor and this separation removes the human side of scholarly work and reduces knowledge production to numerical indicators and the achievement of key performance indicators. In this chapter I draw on shifts in an institution’s policy position and the impact that this has on researchers. Particularly I explore the implications of historically mapping research performance using different metrics than were available at the time and expecting researchers to adopt alternate strategies immediately (irrespective of delays in the publication process). Although I do not doubt that administrator decisions are arguably made in the best interests of advancing the institutions position in the increasingly global academy, the presentism of such strategies is in many ways at odds with the long-term focus of building coherent and sophisticated research programs. Alternate means of understanding the challenges and tensions of administrator strategy has the potential to impact on policy and the development of programs for current and aspiring researchers.

Introduction: Today the ability of nations to develop and implement innovations is core for their international competitiveness. Ukraine is striving for innovation progress; however, its innovation performance is relatively low. The research problem is to find the bottlenecks, affecting Ukraine’s innovation capability.

Purpose: This study aims to research the national innovation capability profiles, based on cluster analysis, to develop an understanding of drivers and threats for the innovation capability of Ukraine.

Need of the study: The knowledge-based economy, which had already turned into one of the most efficient developmental models of the 21st century, became a key driver of international competitiveness for the leading developed countries due to their progressive structural shifts towards the growth of high-technology manufacturing and knowledge-intensive sectors. These trends are significant to capture for the sake of increasing the innovation capability of the economy of Ukraine.

Methodology: The study is based on the K-means clustering method, which is employed for identifying 10 country clusters based on the indicators of their R&D and innovation activities, which allowed us to assess the innovation capability of Ukraine in comparison with 140 countries of the world. Data selection and normalisation were based on the 2019 Global Competitiveness Report indicators.

Findings: The study showed that Ukraine’s innovation capability problems are typical for most developing countries and are prevalently connected to low R&D expenditures, patent applications, and international co-invention activities. Most countries, except for the technologically developed ones, follow the so-called ‘passive technological learning’ strategies, which usually result in low economic productivity.

Practical implications: Several innovation policy implications have been developed for the government of Ukraine based on the cluster analysis results and accounting for the problems of the national innovation system (NIS).

The improvement of the agri-food supply chain sustainability plays pivotal role in the planet’s survival and in overcoming of climate disasters. Digital technologies that support the collection of Big Data produced along the agri-food supply chain (SC) emerge as powerful tools to accelerate the ecological transition of the sector. Digital technologies can support the implementation of circular business models by sharing data across the SC, monitoring in real time the materials flow, automatizing some agricultural practices and improving the decision-making through the development of decision support systems. Despite the relevance of these arguments, there is a lack of shared frameworks and guidelines for the effective development of a “data-driven circular economy” in the agri-food SC. In this scenario, this chapter examines how scholars investigate data-oriented strategies to accelerate the ecological transition and the adoption of circular economy (CE) models in the agri-food sector (AFS). To this end, a systematic literature review (SLR) was performed. Twenty-nine papers were selected following a rigorous sampling process. Both bibliometric and descriptive results are provided in the first part of this chapter. According to the analytical framework developed, the selected papers were examined in light of the “reduce, reuse and recycle” (3R) paradigm. Moreover, an additional R was retrieved from the systematic review (i.e., redesign), broadening the analytical perspective. The results indicate that scholars have predominantly provided theoretical contributions concerning the role of digital technologies and big data for the agri-food circular transition from a macro-perspective. The findings are useful for policy-makers and managers, who can promote and implement the big data-oriented approach to facilitate the circular transition. Limitations and future research directions are also provided.

This chapter offers a comprehensive review the literature on authentic leadership (AL). The authors employ a bibliometric approach to identify, classify, visualise and synthesise relevant scholarly publications and the work of a core group of interdisciplinary scholars who are key contributors to the research on AL. They review 264 journal articles, adopting a clustering technique to assess the central themes of AL scholarship. They identify five distinct thematic clusters: authenticity in the context of leadership; structure of AL; social perspectives on AL; dynamism of AL; and value perceptions of AL. Velt and Sinkovics assert that these clusters will help scholars of AL to understand the dominant streams in the literature and provide a foundation for future research.