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The vast bulk of the discourse surrounding reproduction is centered on women. Yet, the rate of childlessness in the United Kingdom (and much of the world) is higher among men. Recently, there has been an increased focus on fatherhood and fathering in academia, policy, practice, and the general media. However, data on men who do not become fathers has been excluded and their experiences minimized and dismissed. Infertility research has shown that failure to achieve the high social status of parenthood has the similar effects on mental and physical health as a diagnosis of life-threatening illness. In this chapter, I will draw on two qualitative research studies to show how not achieving the pronatalist ideal of parenthood impacts on men’s identity, sense of self, behaviors, health and well-being and social networks across the life course. The workplace is an arena where people who do not fit socio-cultural norms and expectations are overtly and/or covertly stigmatized and discriminated against through policy, working practices and everyday interaction between groups and individuals. I will argue that failing to acknowledge men’s experience of non-reproduction has a significant impact on both individuals and institutions alike.

In Australia, there are agencies funded by the government to provide support to Indigenous peoples wishing to start a business and to provide ongoing support for their businesses. In this chapter, we highlight the government-funded agencies mentioned by Indigenous small business owners and provide insights into their experiences. Informing this chapter are 36 interviews with 30 Indigenous small business owners and 6 Indigenous business stakeholders from urban, rural, and remote areas of Australia. We explore the practice of support from an axio-onto-epistemological perspective. We use the theory of practice architectures lens to analyse the data, identifying how the practice of support is enabling and constraining Indigenous small business owners. Next, we share how these government-funded agencies are understood to be used according to Indigenous stakeholders. Last, we recommend improvements that may further support and sustain Indigenous small businesses.

This paper aims to adopt Cameron and Quinn’s analysis of organizational culture and March’s learning framework to analyze the type of organizational culture (OC) that promotes learning competences and whether exploration and exploitation competences (ambidexterity) improve the European Foundation of Quality Management (EFQM) results (excellent results). In addition, this research tests if these competences exercise a mediating effect in the relationship between OC and performance.

A model is proposed whose relationships have been tested using structural equations. The sample was obtained from the SABI database. Two hundred valid questionnaires were returned via a webpage, in which four managers from each of the 200 organizations responded.

The results support the proposed relationships. Adhocracy, hierarchy and market culture have a positive relationship with excellent results. A hierarchical culture develops exploitation competences, and a market culture develops learning ambidexterity. Moreover, exploration and exploitation increase results. Finally, these two cultures indirectly influence results through exploration and exploitation competences.

The proposed model can help managers who implement the EFQM model to better understand how the culture of their organization promotes learning and how these two variables improve their performance.

Because the EFQM model requires organizations to use a knowledge management system to enhance the effect of the enabliers criteria on excellent results, the managers of these companies must know that only market and hierarchy cultures are suitable for it. Besides, this study highlights the importance of two cultural values for the implementation of the EFQM Model and, therefore, to promote excellent results: market orientation and process control.

This study fills an existing gap in the literature by combining exploitation, exploration, OC and EFQM results in a single model and highlights the importance of market orientation and process control for excellent results and knowledge exploration and exploitation.

Across the United States (US), COVID-19 vaccination coverage was lower in rural counties compared to urban counties, exacerbating rural health inequities. While rural communities fall short of the public health goal to vaccinate all who are eligible, most rural residents have chosen to vaccinate for COVID-19. The aim of this study was to better understand rural New Mexicans' attitudes and beliefs about COVID-19 vaccines.

We conducted and analyzed 51 in-depth, semi-structured interviews with adults living in rural New Mexican counties, covering a range of topics related to the pandemic, including vaccines. These interviews were conducted in the Summer of 2021 after the vaccines were widely available to all adults over the age of 18 and youth between the ages of 12–17, but not yet available for children under 12 years.

Two major perspectives were identified: (1) the idea that COVID-19 vaccinations are a tool that individuals can use to achieve freedom and protection and (2) the view which regarded vaccines as an infringement of personal rights and one's autonomy of health. For people who viewed the vaccine as a tool for freedom, several themes emerged, including (1) a preference for vaccine manufacturers, specifically a preference for Pfizer, and (2) frustrations related to vaccine access, specifically, older adults expressed frustrations with the difficulty of scheduling vaccination appointments. However, most participants felt as though they had enough vaccination resources. For people who viewed vaccines (and vaccine mandates) as limiting their freedom, additional themes emerged: (1) overarching distrust of government and the perception that vaccines were an extension of government and (2) distrust in the vaccines themselves, including a perceived lack of research on the vaccines and a perception that the vaccine was developed in too short of a period. Some of the people who hold these beliefs are also vaccinated. We draw from social psychology theories to better understand how people who hold a rural identity come to establish different beliefs and practices compared to larger metropolitan regions. While political identity is a contributor, of our participants, the group who were most likely to report not being vaccinated were the “independent” or “unaffiliated voters.” Our findings can help craft culturally responsive vaccine initiatives for rural communities.

This study aims to focus on the supply chain (SC) cost drivers of healthcare industries in the USA, as SC costs have increased 40% over the last decade. The second-most significant expense, the SC, accounts for 38% of total expenses in a typical hospital, while most other industries can operate within 10% of their operating cost. This makes healthcare centers supply-chain-sensitive organizations with limited facilities for high-quality healthcare services. As the cost drivers of healthcare SC are almost unknown to managers, their jobs become more complex.

Guided by pragmatism and positivism paradigms, a cross-sectional study has been designed using quantitative and deductive approaches. Both primary and secondary data were used. Primary data were collected from health centers across the country, and secondary data were from healthcare-related databases. This study examined the attributes that explain the most significant variation in each contributing factor. With multiple regression analysis for predicting cost and Student's t-tests for the significance of contributing factors, the authors of this study examined different theories, including the market-based view and five-forces, network and transaction cost analysis.

This study revealed that supply, materials and services represent the most significant expenses in primary care. Supply-chain cost breakdown results in four critical factors: facility, inventory, information and transportation.

This study examined the data from primary and secondary care institutions. Tertiary and quaternary care systems were not included. Although tertiary and quaternary care systems represent a small portion of the healthcare system, future research should address the supply chain costs of highly specialized organizations.

This study suggests methods that can help to improve supply chain operations in healthcare organizations worldwide.

This study presents an empirically proven methodology for testing the statistical significance of the primary factors contributing to healthcare supply chain costs. The results of this study may lead to positive policy changes to improve healthcare organizations' efficiency and increase access to high-quality healthcare.

This paper aims to investigate the impact of climate change news on the dynamics of US stock indices.

The empirical basis of the study was 3,209 news articles. Sentiment analysis was performed by a pre-trained bidirectional FinBERT neural network. Thematic modeling is based on the neural network, BERTopic.

The results show that news sentiment can influence the dynamics of stock indices. In addition, five main news topics (finance and politics natural disasters and consequences industrial sector and Innovations activism and culture coronavirus pandemic) were identified, which showed a significant impact on the financial market.

First, we extend the theoretical concepts. This study applies signaling theory and overreaction theory to the US stock market in the context of climate change. Second, in addition to the news sentiment, the impact of major news topics on US stock market returns is examined. Third, we examine the impact of sentimental and thematic news variables on US stock market indicators of economic sectors. Previous works reveal the impact of climate change news on specific sectors of the economy. This paper includes stock indices of the economic sectors most related to the topic of climate change. Fourth, the research methodology consists of modern algorithms. An advanced textual analysis method for sentiment classification is applied: a pre-trained bidirectional FinBERT neural network. Modern thematic modeling is carried out using a model based on the neural network, BERTopic. The most extensive topics are “finance and politics of climate change” and “natural disasters and consequences.”

There is an urgent need for teacher preparation programs to equip teachers to teach in innovative and transformative ways, meeting the needs of diverse learners. Coaching is an instrumental tool for supporting change and development, especially in contexts with decentralized teacher preparation guidelines.

This multicase study examines cross-institutional programmatic innovations for coaching teacher candidates (TCs) and centering equity using improvement science and equity coaching. The authors explore the networked improvement community’s (NIC’s) examination of problems of practice through plan–do–study–act cycles in three coaching contexts within and across seven institutions.

Qualitative methods revealed that adapting coaching protocols can center equity and build equity-focused practices. This work highlights revisions to coaching within and across teacher preparation programs (TPPs), which the authors hope inspires extending equity-centered coaching and improvement science to new contexts. This cross-case analysis revealed program innovations for coaches, digital technologies and alignment.

This study addresses ongoing challenges faced by TPPs in the United States, including TCs' understandings of equity in teaching and decentralized teacher preparation that results in varied and incongruent understandings about quality teaching. This study builds on previous scholarship that examines shifts in coaching practices by disrupting silos in TPPs as examined innovations.

The paper offers a unique view of cross-institutional collaboration in coaching to improve transformative teaching experiences in teacher preparation field experiences.

This study aims to offer a bibliometric analysis of the already substantial and growing literature on global virtual teams (GVTs).

Using a systematic literature review approach, it identifies all articles in the Web of Science from 1999 to 2021 that include the term GVTs (in the title, the abstract or keywords) and finds 175 articles. The VOSviewer software was applied to analyze the bibliometric data.

The analysis revealed three dialogizing research clusters in the GVTs literature: a pioneering management information systems and organizational cluster, a general management cluster and a growing international management and behavioural studies cluster. Furthermore, it highlights the most cited articles, authors, journals and nations, and the network of strong and weak links regarding co-authorships and co-citations. Additionally, this study shows a change in research patterns regarding topics, journals and disciplinary approaches from 1999 to 2021. Finally, the analysis illustrates the position and centrality in the network of the most relevant actors.

The findings can guide management practitioners, educators and researchers to the most meaningful clusters of publications on GVTs, and help navigate and make sense of the vast body of the available literature. The importance of GVTs has been growing in the past two decades, and Covid-19 has accelerated the trend.

This study provides an updated and comprehensive systematic literature review on GVTs. To the best of the authors’ knowledge, it is also the first systematic literature review and bibliometry on GVTs. It concludes by suggesting future research paths.