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The chapter describes the emergence of the profession in Czechia. The major driver for universities and research and technology organisations (RTOs) was the country’s accession to the European Union (EU) in 2004. The country has a rich system of national research, development, and innovation (R&D&I) funding and EU Framework Programmes are witnessing a slowly growing interest and success of Czech researchers.¹ Yet, the major force in changing the research management and administration (RMA) culture and addressing the need of professionalising the environment of research administration, management, intellectual property rights, and technology transfer (TT) was European Structural and Investment Funds (ESIF). The Czech government repeatedly, through four EU programming periods, stressed the need for investments to reshape the research infrastructure, environment, and conditions on a scale not experienced by the universities or the RTOs ever before. The availability of EU funds and increasing emphasis on international cooperation enabled Czechia to witness slow, yet steady growth of demand to deliver better service in the field of RMA. This is illustrated through several EU-funded projects focussed on RMA skills development and the recent establishment of the Czech Association of Research Managers and Administrators (CZARMA) in 2022 (Masaryk University, 2022a).

This paper explores how education and training systems can support a digitally-enabled workforce for the Australian manufacturing sector.

The study is based on interviews with 17 sector-level manufacturing stakeholders from industry, government and education/training organisations. Semi-structured interviews were conducted to gain an in-depth understanding of how education and training systems currently support a digitally-enabled manufacturing workforce as well as opportunities for alternative configurations or developments.

Analysis revealed three themes reflecting core dimensions of a supportive education and training system: partnerships, pedagogy and prospects. Cooperative, integrated and sustained partnerships are needed between vocational education and training (VET) institutions, universities, government, industry, high schools and private training providers. Pedagogy emphasises the vital importance of infusing curriculum with digital and technology skills and capabilities, alongside innovative and experiential delivery modes including simulated environments, online learning, on-the-job training, flexible delivery and micro-credentials. Prospects reflects the need for forward-looking assessment and planning to respond to industry trends and develop associated qualifications, skills and investments required to meet future industry needs.

With growing demand for digitally-enabled skills to support manufacturing, an industry which is acknowledged as critical for economic prosperity and national sovereignty, the findings contribute novel insights into current limitations and future opportunities to bridge the gap between skills shortages in the manufacturing industry, and education and training systems that deliver graduate readiness and a digitally-enabled workforce.

This paper aims to map the evolution of hydrogen-based technologies (HBTs) by examining the patenting activity associated to these technlogies from 1930 to 2020. In doing so, the study provides a novel perspective on the development of HBTs and offers implications for managers and policymakers.

We collected patent data at the level of patent families (PFs). Our sample includes 317,089 PFs related to hydrogen production and 62,496 PFs to hydrogen storage. We examined PF data to delineate the state of the art and major technical advancements of HBTs.

Our analysis provides evidence of an increasing patenting activity in the area of HBTs, hence suggesting relatively high levels of expectations on the economic potential of these technologies. US and Japan hold the largest proportion of PFs related to HBTs (about 60%), while European applicants hold the highest proportion of highly cited PFs (about 60%). While firms represent the applicant with the highest share of PFs, our analysis reveals that firms holding HBT PFs are primarily from the chemical sector.

While our analysis is limited to examining patent data which capture some aspects of the innovation activity around HBTs (namelly, patented inventions), our study enriches existing literature by performinng a patent analysis on a much larger sample of data when compared to previous studies.

Two main implications emerge from our study. Firstly, there seems to be an urgent need to support the emergence of a dominant design so as to facilitate the consolidation and diffusion of the HBTs, hence the transition to a more sustainable energy production. Secondly, the majority of HBT PFs are held by a small number of countries. This, in turn, suggests opportunities to develop cross-country cooperation (e.g. international agreements, research and technology offices) to support the development and adoption of HBTs globally.

Considering the results obtained in this study, from a social point of view, the attention that organizations have paid to hydrogen related technologies is evident. This suggests that the development HBTs can function as a social enabler for a sustianable energy transition.

Extant research has focused on the individual components of the hydrogen chain. As a result, we lack a comprehensive understanding of the progress made in the area of HBTs. To address this gap, this study examined HBTs by focusing on both production and storage technologies since their initial developments, hence adopting an observation period of about 70 years.

The purpose of this paper is to use Bourdieu’s Theory of Capital–Field–Habitus to explore how refugees, asylum seekers and migrants accumulate and mobilise social, cultural, symbolic and economic capital to find meaningful work in the Australian construction industry.

The paper reports the results of a survey of refugees, asylum seekers and migrants who have either successfully or unsuccessfully searched for employment in the Australian construction industry.

The findings dispel widely held negative stereotypes of about this group by describing a highly capable workforce which could address significant skills shortages in the industry, while concurrently diversifying the workforce. However, it is found that refugees, asylum seekers and migrants face considerable barriers to finding meaningful employment in the construction industry. In circumventing these barriers, education institutions, charities and community-based organisations play an especially important role, alongside friends and family networks. They do this by helping refugees, asylum seekers and migrants accumulate and deploy the necessary capital to secure meaningful work in the construction industry. Disappointingly, it is also found that the construction industry does little to help facilitate capital accumulation and deployment for this group, despite the urgent need to address diversity and critical skills shortages.

Employing Pierre Bourdieu’s Theory of Capital–Field–Habitus, the findings make a number of new theoretical and practical contributions to the limited body of international research relating to the employment of refugees, asylum seekers and migrant workers in the construction. The results are important because meaningful employment is widely accepted to be the single most factor in the successful integration of refugees, asylum seekers and migrants into a host society and the construction industry represents an important source of potential employment for them.

This chapter relies on descriptive case studies from various regions around the world to better explain critical elements for the effective marketing of destinations. The authors put forward a theoretical framework, entitled the destination marketing triangle (DMT), that sheds light on the complex relationships and on the interconnectedness of three dimensions of destination marketing. Their model suggests that destination leaders ought to work closely with tourism service providers and to continuously engage with tourists through traditional and digital media. This way, they can improve the experiences of their visitors and prospects. At the same time, they could build a solid brand identity for their destination.

This study aims to use the dual-continuum model of mental health to explore mental health in Australian construction apprentices from the perspective of key stakeholders in the apprenticeship model. In particular, this study explored how construction apprentices, Vocational Education and Training (VET) teachers, industry employers and mental health workers understood the construct of mental health, factors associated with the dimension of psychological distress/symptoms of mental illness, and factors associated with the dimension of mental wellbeing.

This study used an exploratory qualitative research design. Data from 36 semi-structured interviews were analysed using thematic analysis. Participants comprised 19 Australian construction apprentices, 5 VET teachers, 7 industry employers and 5 mental health workers.

In total, 14 themes were generated from the data set. Participants across stakeholder groups reported a limited understanding about mental health. Participants cited a range of negative personal, workplace and industry factors associated with psychological distress/symptoms of mental illness, but only reported a few factors associated with mental wellbeing.

To the best of the authors’ knowledge, this study is one of the first to use the dual-continuum model of mental health to explore the mental health of Australian construction apprentices, and to explore the factors associated with both dimensions of this model from the perspective of key stakeholders in the Australian construction apprenticeship model.

The main objective of this work is to design a statistical multiple regression model that helps to empirically explain the impact of economic incentives, management style, emotional health and research activities on university professors in northern Mexico and their perception of happiness.

In this research, the authors analysed the correlation between happiness perception and four independent variables divided into two dimensions: 1. individual dimensions: emotional health and research activities and 2. organisational dimensions: economic incentives and management styles. A questionnaire was developed, tested and analysed for this matter. The authors applied this instrument to 384 university professors of both genders among 1301 in the region.

Using correlational analysis, the authors confirm a strong and statically significant relationship between all variables. It is also no evidence of multicollinearity. Finally, by applying multiple regression analysis, it was accepted that all independent variables have significance in explaining the emergence of personal happiness (R2 = 42%). Finally, the predictive equation presents possible results with values that confirm the effectiveness of the theoretical model. Results indicate that happiness perception is related to independent variables, with economic incentives being the most vital relationship.

This study's limitations are that the novel perspective of the explanatory variables of economic incentives, emotional health, management style and research activities needs additional confirmatory studies. Therefore, the authors need to perform studies with new explanatory perspectives. Another limitation of the study may be considering a cross-sectional and not a longitudinal model. This study considered it more appropriate to analyse the explanatory variables that influence and are the outcome of happiness perception for the data collected. Finally, it is essential to highlight that this research has been conducted in an underdeveloped country. Thus, it should consider conducting subsequent confirmatory studies in similar settings and other types of economies, such as in a developed country.

This paper explains the relevance of two-dimensional activities in the happiness perception of professors. As other studies mention, productivity is correlated to happiness, and production outcomes could be improved if the schools implement policies to promote this perception. Happiness could be a solid strategy to improve academic outcomes, and the results propose several actions to achieve this goal.

This paper addresses an important activity of professors from a perspective of happiness perception. Thus, putting the professor as the leading relevant agent in schools, the authors propose a multivariate analysis of the outcomes of professors' jobs. Both the schools and the professors have their own goals at their own levels. If policies are created based on persons, in this case, professors, to improve organizational goals, then it might profoundly impact social actions inside the schools.

This paper increases the literature on happiness perception studies and proposes the examination of the relationship between perceived personal happiness and dimensions that influence this perception; these are from two kinds: 1. individual dimensions: emotional health and research activities and 2. organisational dimensions: economic incentives and management styles, which is an original approach and open discussion to further new approaches to this study.

This paper aims to identify such “entrepreneurial skills” that the scientific community can develop within themselves through training and practice to improve their academic research translation capabilities and performance.

From a qualitative perspective, this study currently presents a few findings from some of the best government-funded laboratories in India and Japan, where they are training their young researchers to be world-class scientists as well as entrepreneurs to help them commercialize their scientific research findings from lab to market for societal benefit.

This paper intends to focus on identifying some of the “best practices” in developing such capabilities that allow “entrepreneurial scientists” to take their science to the society through entrepreneurship. This paper presents two exemplary case studies about institutions that are trying to build innovation and entrepreneurship capabilities in their research groups through continuous training and practice in the fields of biotechnology (India) and autonomous transportation (Japan).

Policymakers and top management teams at academic institutions can learn from the “best practices” on envisioning, evaluation and execution skills for designing their innovation and entrepreneurship skill-building programs for their scientific community.

The purpose of this paper is to present a practical data-based framework for the prioritization of investment in manufacturing technologies, methods and tools, and to demonstrate its applicability and practical relevance through two case studies of manufacturing firms of different industrial segments.

The proposed framework is based on network theory applied on technology adoption. For this, the database of Industry 4.0 maturity assessments of SENAI was used to develop data visualization tools named “Technology Networks”. Thus, this study is descriptive research with correlational design. Besides, the framework was applied in two companies and semi-structured interviews were carried out with domain experts.

The technology networks highlight the technological adoption patterns of six industrial segments, by considering the answers of 863 Brazilian companies. In general, less sophisticated technologies were positioned in the center of the networks, which facilitates the visualization of adoption paths. Moreover, the networks presented a well-balanced adoption scenario of Industry 4.0 related technologies and lean manufacturing methods and tools.

Since the database was not built under an experimental design, it is not expected to make statistical inferences about the variables. Furthermore, the decision to use an available database prevented the editing or inclusion of technologies. Besides, it is estimated that the technology networks given have few years for obsolescence due to the fast pace of technological development.

The framework is a tool that may be used by practicing manufacturing managers and entrepreneurs for taking assertive decisions regarding the adoption of manufacturing technologies, methods and tools. The proposition of using network theory to support decision making on this topic may lead to further studies, developments and adaptations of the framework.

This paper addresses the topics of lean manufacturing and Industry 4.0 in an unprecedented way, by quantifying the adoption of its technologies, methods and tools and presenting it in network visualizations. The main value of this paper is the comprehensive framework that applies the technology networks for supporting decision making regarding technology adoption.