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Serving the public sector, emergency response organizations operate in uncertain environments. This study aims to understand the impact of effective coordination and collaboration of volunteers and career responders on response time performance considering the complexity of their task environments measured as population density. The operations strategy models designed for manufacturing and services in the private sector provide overarching theoretical insights to explore the role of organizational design characterized by the mix of volunteers and career responders in the public sector emergency services.

This study uses hierarchical regression analysis to substantiate the theoretical model using publicly available data extracted from the US National Fire Incident Reporting System. The data is analyzed using the US National Fire Protection Association’s standard to define fire department organizational types working in differing task environments categorized as rural, suburban and urban, using population density from the US Census Bureau.

This study upholds the framework of operations strategy model for public services and finds that fire department organizational design and task environment significantly influence operational performance measured by incident response time. While increasing the percentage of career firefighters can improve response time for volunteer fire departments, once a threshold is achieved, such an increase does not help to improve incident response time for combination and career fire departments.

This study takes a fresh look at public emergency services using operations strategy models and explores the operational impact of fire department organizational design using the mix of volunteer and career firefighters under varying environmental conditions. While the findings are specific to one public emergency service domain, they open avenues for future research to extend these models to other emergency service types and public services.

Using recent US regional data associated with food system operations, this study aims at building optimization and econometric models to incorporate varying influential factors on food hub location decisions and generate effective facility location solutions.

Mathematical optimization and econometric models have been commonly used to identify hub location decisions, and each is associated with specific strengths to handle uncertainty. This paper develops an optimization model and a hurdle model of the US fresh produce sector to compare the hub location solutions between these two modeling approaches.

Econometric modeling and mathematical optimization are complementary approaches. While there is a divergence between the results of the optimization model and the econometric model, the optimization solution is largely confirmed by the econometric solution. A combination of the results of the two models might lead to improved decision-making.

This study suggests a future direction in which model development can move forward, for example, to explore and expose how to make the existing modeling techniques easier to use and more accessible to decision-makers.

The models and results provide information that is currently limited and is useful to help inform sustainable decisions of various stakeholders interested in the development of regional food systems, regional infrastructure investment and operational strategies for food hubs.

This study sheds light on how the application of complementary modeling approaches improves the effectiveness of facility location solutions. This study offers new perspectives on elaborating key features to encompass facility location issues by applying interdisciplinary approaches.

This paper aims to draw attention to the global infringement of reproductive rights of Indigenous and racialised Peoples.

Narrative literature review. Description and comparative analysis of examples of forced sterilisation.

Large-scale sterilisation campaigns were identified in three different regions of the world: North America, Latin America and Europe. Within these, hundreds of thousands of Indigenous and racialised Peoples have been forcibly sterilised as part of state-sponsored procedures, predominantly aimed at women and gestating people. These abuses are continuing in the 21st century and have origins in “racial science” theory. The exact nature of the abuses is identified alongside the long-term health and wellbeing implications. Professional attitudes and behaviours that condoned such practices within healthcare settings are identified. The psychological, social and cultural impact of such practices, including on Indigenous body sovereignty and self-determination, are demonstrated.

These are twofold: firstly to eradicate any future practice of forced sterilisation and secondly to provide reparations to those affected.

The analysis brings together scholarship from Indigenous studies alongside that of health and social sciences.

This study uses bibliometric visualization techniques to comprehensively review the intertwined concepts of dark tourism, thana tourism and ghost tourism from 2000 to 2023. The research seeks to clarify the ambiguity and inconsistencies arising from the interchangeable use of these terms and sets forth a roadmap for future research endeavors.

This study meticulously extracts research keywords from 634 scholarly papers in the Scopus database. It undertakes a thorough bibliometric analysis utilizing the visualization of similarities (VOS) viewer and RStudio to map the interconnectedness of these tourism phenomena.

The study identifies and explores contemporary theories such as self-categorization theory, stimulus-organism-response theory, embodiment theory, self-determination theory, socio-cognitive theory, risk perception theory, services theory, dark tourism theory, social and cultural theory, push-pull theory, performance theory, and wound culture theory. The research reveals four primary clusters through keyword co-occurrence and bibliographic coupling analyses: dark tourism insights, dynamics of dark tourism, dark tourism review and dark tourism experiences, illustrating their interrelationships and robustness.

Dark tourism insights can guide ethical practices, ensuring respectful site management and accurate historical representation. Integrating dark tourism into broader destination strategies can diversify offerings, attract niche markets and contribute to preserving historical memory through reflective experiences.

This study's outcomes significantly contribute to tourism literature by enhancing our understanding of the overlapping terminologies associated with dark, thana and ghost tourism. This improved comprehension sheds light on the importance of the research agenda surrounding the concept of dark, thana and ghost tourism.

This paper examines the impact of leadership behaviors on startup's entrepreneurship in Vietnamese southern areas in the time of Covid-19.

The paper uses OLS regression model to evaluate the impact of leadership behaviors on startup's entrepreneurship in Vietnamese southern areas. Besides, the paper also uses AHP method to identify the factors that influence leadership behaviors in startups in the context of economic shock like the Covid-19 pandemic.

Results reveal that the transformational leadership behavior has a positive correlation with startup's entrepreneurship while the transactional and laissez-faire leadership behaviors are negatively related to startup's entrepreneurship. In addition, using AHP method, certain determinants of leadership behaviors in startups have been specified; among which, the most profound influencing factors are respectively hi-tech use (0.081), training policy (0.079) and check (0.78). In contrast, the factors with negligible impacts include recruitment policy (0.004) and culture (0.037) in startups in the context of economic shock like the Covid-19 pandemic.

This research only evaluates this impact in the Covid-19 times. In the future, comparisons between the time after the Covid-19 at traditional enterprises and state enterprises are to be done to clarify the difference of this impact.

By using OLS model and AHP model with the data collected from 209 start-ups, the paper examines the impact of leadership behaviors on start-up's entrepreneurship in the time context of economic shock like the Covid-19 pandemic and propose some recommendations to enhance entrepreneurship in startups in the developing countries.

This study is a step forward in the entrepreneurship research branch that investigates the entrepreneurship issue from the perspectives of social and interpersonal processes. With the identification of the leadership behaviors’ role in shaping start-up's entrepreneurship come highly applicable implications towards the emergence of more effective entrepreneurial startups in the time of Covid-19 and this prevalent digital context.

With the identification of the leadership behaviors' role in shaping startup's entrepreneurship come highly applicable implications toward the emergence of more effective entrepreneurial startups in the time of Covid-19 and this prevalent digital context. This study is conducted to analyze the impact of leadership behaviors on startup's entrepreneurship in the southern areas of Viet Nam having the most startups but affected the most seriously by the Covid-19 pandemic, which has not research on this topic for startups in a developing country like Vietnam in the context of an economic shock.