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War is one of the worst characteristics of human nature. Wars over territory, religion, and governance were and are always present through history. War and tourism seem dissonant at first glance. However, the post effects of war enable its components, such as battlefields and artefacts, to become tourist attractions. People share the impetus to visit war attractions such as battlefields, military museums, cemeteries, memorials, and other war-related sites. There is a supply for this type of tourism in exchange for the demand. This type of tourism is referred to in the literature as battlefield tourism. The meaning and definition of battlefield tourism are the main aim of this chapter. What is battlefield tourism? What are the components of battlefield tourism? How can battlefield tourism be defined? These are the primary questions this study tries to address.

A major concern for policymakers and researchers is to ascertain the movement of price levels and employment rates. Predicting the trends of these variables will assist the government in making policies to stabilize the economy. The objective of this chapter is to forecast the unemployment rate and Consumer Price Index (CPI) for the period 2022 to 2031 for the Indian economy. For this purpose, the authors analyse the prediction capability of the univariate auto-regressive integrated moving average (ARIMA) model and the vector autoregressive (VAR) model. The dataset for India's annual CPI and unemployment rate pertains to a 30-year time period from 1991 to 2021. The result shows that the inflation forecasts derived from the ARIMA model are more precise than that of the VAR model. Whereas, unemployment rate forecasts obtained from the VAR model are more reliable than that of the ARIMA model. It is also observed that predicted unemployment rates hover around 5.7% in the forthcoming years, while the forecasted inflation rate witnesses an increasing trend.

This chapter covers two behaviors that greatly affect college students’ mental health and wellbeing: eating and sleeping. The chapter begins with a definition of eating disorders and distinguishes clinically disordered eating from other forms of problematic eating. The chapter describes common eating disorders among college students: anorexia nervosa, bulimia nervosa, avoidant restrictive food intake disorder (ARFID) and binge eating disorder. The chapter then discusses measures of problematic eating among college students, including the SCOFF, the Eating Disorder Inventory and the Eating Concerns subscale of the Counseling Center Assessment of Psychological Symptoms (CCAPS). Next, the chapter discusses the prevalence of problematic eating among college students. Cultural considerations are described, with particular attention paid to gender, sexual orientation and ethnicity. Causes of problematic eating among college students are discussed, and the consequences of problematic eating are explored, from shame to medical complications to death. Treatment options are detailed, as are barriers to seeking professional help. The chapter follows a similar structure in covering healthy and problematic sleep behaviors among college students. In particular, the chapter explores measures of sleep quality, the prevalence of problematic sleep among college students, their causes and consequences, as well as strategies for correcting poor sleep and interventions for promoting healthy sleep habits.

Mental health is not simply the absence of psychological problems any more than physical health is the absence of disease. This chapter explores various aspects of optimal mental health and wellbeing among college students. It examines the question of what is required for college students to both feel their best and function at or near their highest levels. It also discusses the characteristics of peak mental health, including its transient nature. Predictive factors such as exercise, diet, sleep and social connection will be explored. Regarding the features of optimal wellbeing, the following variables are described: integrity, values, mindfulness, self-compassion, flow and resilience. These variables are considered in an integrated fashion as components, as well as byproducts, of wellness. Hettler’s multidimensional model of wellness is presented at the outset of the chapter, followed by Keyes’ theory of flourishing.

The purpose of this paper is to investigate the influence of employees’ trait rumination on the variability of their state rumination and the continuing influence on their negative affect at home.

A time-lagged experience sampling method was used for the data collection from full-time employees in the hotel industry. The hypotheses were tested with multilevel modeling using a random coefficient modeling approach.

Hotel employees who are high in trait rumination generally show high levels of state rumination and greater within-person variability in state rumination over time. Additionally, the negative effects of workplace state rumination can last until employees come home and the next day before going to work. Furthermore, employees who are high in trait rumination are more likely to be influenced by state rumination, as they experience more negative affect after arriving home.

Rumination has been shown to decrease hotel employee overall well-being. The findings of this study provide suggestions for remedial measures that can be taken by hotel organizations to help employees address ruminative thinking.

Drawing on response styles and work/family border theories, this study contributes to the rumination literature by considering both trait rumination and state rumination in a broader context. For a comprehensive understanding of the dynamic temporal characteristics of state rumination, this study considers the net intraindividual variability of state rumination as the outcome of trait rumination.

Given the complex nature of integrated care systems (ICSs), the geographical spread and the large number of organisations involved in partnership delivery, the importance of leadership cannot be overstated. This paper aims to present novel findings from a rapid realist review of ICS leadership in England. The overall review question was: how does leadership in ICSs work, for whom and in what circumstances?

Development of initial programme theories and associated context–mechanism–outcome configurations (CMOCs) were supported by the theory-gleaning activities of a review of ICS strategies and guidance documents, a scoping review of the literature and interviews with key informants. A refined programme theory was then developed by testing these CMOCs against empirical data published in academic literature. Following screening and testing, six CMOCs were extracted from 18 documents. The study design, conduct and reporting were informed by the Realist And Metanarrative Evidence Syntheses: Evolving Standards (RAMESES) training materials (Wong et al., 2013).

The review informed four programme theories explaining that leadership in ICSs works when ICS leaders hold themselves and others to account for improving population health, a sense of purpose is fostered through a clear vision, partners across the system are engaged in problem ownership and relationships are built at all levels of the system.

Despite being a rigorous and comprehensive investigation, stakeholder input was limited to one ICS, potentially restricting insights from varied geographical contexts. In addition, the recent establishment of ICSs meant limited literature availability, with few empirical studies conducted. Although this emphasises the importance and originality of the research, this scarcity posed challenges in extracting and applying certain programme theory elements, particularly context.

This review will be of relevance to academics and health-care leaders within ICSs in England, offering critical insights into ICS leadership, integrating diverse evidence to develop new evidence-based recommendations, filling a gap in the current literature and informing leadership practice and health-care systems.

This paper examines the relationship between entrepreneurs' internality of causal attributions and firm growth during an economic crisis. We propose a U-shaped relationship between the two variables, arguing that the highest-growth entrepreneurs are those with either the highest or lowest levels of internal attribution (IA) during such periods.

To test our hypothesis, we analyze a database of 804 interviews with entrepreneurs in Brazil during a period of economic stress. Due to the existence of endogeneity, we estimate a model of simultaneous equations in two stages.

We find evidence of a U-shaped relationship. This means that during economic stress, the fastest-growing entrepreneurs are those who rely more on their own effort (high IA) and those who attribute their success to the economic crisis (low IA).

Tailoring interventions based on attribution patterns and recognizing the U-shaped relationship ensures effective support during economic stress. Entrepreneurial support programs should align with internality levels, emphasizing external awareness or skill development accordingly. Policymakers should take attributions into account when promoting financial resilience. Entrepreneurs would benefit from awareness programs on attributions for reflective decision-making. Ecosystems should foster collaboration by recognizing diverse attributions, enhancing a collective understanding of entrepreneurial responses in crises.

Our results have important implications for understanding the role of entrepreneurs in economic crises. Our results are relevant because they challenge the usual claim that entrepreneurs with high IA are the ones who perform better in situations where external economic conditions are adverse.