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Stigma towards people living with complex mental health issues is widespread and harmful, preventing help-seeking behaviour, fostering social exclusion and decreasing self-efficacy. This study aims to investigate the usefulness and drawbacks of a mental health-themed podcast in reducing stigma.

Qualitative interviews were conducted with 12 participants who had each listened to three episodes of the co-designed podcast “On the Same Wavelength”. Interview data were analysed using reflexive thematic analysis.

Four themes were generated: learning from a trustworthy source; connecting with lived experience; reducing stigma, one listener at a time; and a high-quality podcast with limited reach. Listeners appraised the podcast as improving their attitudes and behavioural intentions towards people living with mental illness and their understanding of mental illness and stigma. They perceived the lived experience narratives as its most impactful element, but felt the podcast might not have mass appeal.

Despite the popularity of mental health-themed podcasts, there is limited research examining their potential to reduce stigma. This study provided insight into the usefulness, listener acceptability and impactful elements of such podcasts, by exploring listeners’ perspectives of a new podcast co-designed to reduce stigma.

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.

A “state-driven” approach suggests that colonists use census categories to rule. However, a “society-driven” approach suggests that this state-driven perspective confers too much power upon states. A third approach views census-taking and official categorization as a product of state–society interaction that depends upon: (a) the population's lay categories, (b) information intellectuals' ability to take up and transform these lay categories, and (c) the balance of power between social and state actors. We evaluate the above positions by analyzing official records, key texts, travelogues, and statistical memoirs from three key periods in India: Indus Valley civilization through classical Gupta rule (ca. 3300 BCE–700 CE), the “medieval” period (ca. 700–1700 CE), and East India Company (EIC) rule (1757–1857 CE), using historical narrative. We show that information gathering early in the first period was society driven; however, over time, a strong interactive pattern emerged. Scribes (information intellectuals) increased their social status and power (thus, shifting the balance of power) by drawing on caste categories (lay categories) and incorporating them into official information gathering. This intensification of interactive information gathering allowed the Mughals, the EIC, and finally British direct rule officials to collect large quantities of information. Our evidence thus suggests that the intensification of state–society interactions over time laid the groundwork for the success of the direct rule British censuses. It also suggests that any transformative effect of these censuses lay in this interactive pattern, not in the strength of the British colonial state.

This paper aims to examine the role of bullying victimization in predicting psychopathology, encompassing post-traumatic stress disorder (PTSD), risk of developing prodromal psychosis and emotional and behavioural problems, among in-school Nigerian adolescents.

A total of 351 junior secondary students (n = 173 males, 178 females; age range: 9–17 years) were recruited from five randomly selected public secondary schools in Nigeria. Students completed a variety of self-report measures, including a socio-demographic questionnaire, the prodromal questionnaire – brief version, the strengths and difficulties questionnaire (SDQ) and the multidimensional peer victimization scale. They were also interviewed using the PTSD module of the Mini International Neuropsychiatric Interview-Kid Version.

Although bullying victimization was not found to predict the presence of PTSD, it predicted the risk of developing prodromal psychosis. All SDQ subscales also held significant positive associations with bullying victimization. This indicates that higher levels of victimization are associated with increased behavioural and emotional difficulties among adolescents.

The study findings add support to whole system approaches involving relevant stakeholders in health, education, social and criminal justice sectors via protective policies to address the problems of bullying in schools.

The study contributes to evidence demonstrating a need for improved understanding regarding the role of exposure to bullying victimization in predicting various forms of psychopathology. Furthermore, there is specifically a need for research with this focus in developing countries in sub-Saharan Africa and the Nigerian education system.

Drawing on legitimacy and upper-echelon theory, this paper aims to investigate the moderating role of corporate governance in the relationship between corporate social performance (CSP) and board gender diversity (BGD).

Using Morgan Stanley Capital International measures of social and governance performance, the authors use 2,950 firm-year observations from US companies for the years 2016–2020 to show that good performance on social issues drives BGD.

The panel data model indicates that the relationship between CSP and BGD is strengthened when firms display robust corporate governance.

This study contributes to the extant literature through empirical consideration of CSP as a predictor of BGD, a relationship that has rarely been examined. It further highlights the significant role of corporate governance in ensuring that women have access to corporate boards. Discussion and findings highlight that social performance and governance may significantly contribute to the diversity of socially cognizant boards.

Many PhD students have strong reading comprehension, but some struggle with how to read critically. The purpose of this study is to understand what reading looks like for PhD students, what they are doing when they read scholarly texts and how they bring these texts to life in meaningful ways.

The authors conducted a self-study using a phenomenological research approach. Five PhD students collected data on their academic reading for three weeks, including the references, purpose for reading, and what they did as part of the reading process. Second, students analyzed their reading processes according to Paul and Elder’s (2006) intellectual standards. Third, students participated in two semi-structured discussions about the standards in relation to doctoral reading.

Reading is inseparable from thinking, with Paul and Elder’s (2006) intellectual standards (e.g. clarity, relevance, logic and fairness) playing an essential role in the academic reading process. Alongside these cognitive aspects of reading, the affective domain also contributes to the reading process.

This study is important because being able to read scholarly work is crucial for completing doctoral programs, conducting research, and publishing. We suggest that just as we need to teach writing, we need to acknowledge that many doctoral students need guidance to read scholarly texts, they need to be educated on the intellectual standards, and supervisors must rest their assumptions about doctoral reading and explicitly teach these processes.

This paper aims to argue that important elements in the capital budgeting process are either undervalued or not considered and are a significant reason for both low and slow growth in large firms. Adopting an entrepreneurial mindset in conjunction with a portfolio approach based on different types of innovation to allow for growth projects to enter the process and be evaluated for possible selection are outlined as an alternative to strengthen the capital budgeting process.

Concepts and processes drawn from the finance, economics and entrepreneurship literature are used to form a proposed new approach to the capital budgeting process.

Only a handful of large firms even achieve returns more than their cost of capital. This manuscript argues that the reason for the lack of growth is a function of a capital budgeting process that does not allow the full spectrum of risk projects because of behavioral factors. This manuscript further proposes a portfolio approach that would allow for all projects to be fairly considered and aligned with stakeholder interests.

The current literature tends to focus on the financial evaluative aspect of the capital budgeting process. The void in the literature is with other aspects of the capital budgeting process both in terms of currency and in pursuing alternative explanations for the reasons the full risk spectrum of projects is not considered.

Qatar, a wealthy country with an open economy has limited arable land. To meet its domestic food demand, the country heavily relies on food imports. Additionally, the over three year-long economic embargo enforced by regional neighbors and the covariate shock of the COVID-19 pandemic have demonstrated the country's vulnerability to food insecurity and potential for structural breaks in macroeconomic data. The purpose of this paper is to examine short- and long-run determinants of Qatar's imports of aggregate food, meats, dairy and cereals in the presence of structural breaks.

The authors use 24 years of food imports, gross domestic product (GDP) and consumer price index (CPI) data obtained from Qatar's Planning and Statistics Authority. They use the autoregressive distributed lag (ARDL) cointegration framework and Chambers and Pope's exact nonlinear aggregation approach.

Unit root tests in the presence of structural breaks reveal a mixture of I (1) and I (0) variables for which standard cointegration techniques do not apply. The authors found evidence of a significant long-run relationship between structural changes and food imports in Qatar. Impulse response functions indicate full adjustments within three-quarters of a year in the event of an exogenous shock to imports.

An exogenous shock of one standard deviation on this variable would reduce Qatar's food imports by about 2.5% during the first period but recover after the third period.

The failure of past aggregate food demand studies to go beyond standard unit root testing creates considerable doubt about the accuracy of their elasticity estimates. The authors avoid that to provide more credible findings.

Taking the element of saving face into account, this chapter uses LJN Resources as an example, specifically the communication pattern between the manager, Mr John (Gen Y category), and the founder, Mr Lim (Baby Boomers category), in which the son-in-law and father-in-law relationship complicates the communication dynamics. Communication exchange in the western versus eastern society is explained. Utilising lifespan development perspective as the framework, communication among employees of different ages in family business is examined, particularly those at the establishment stage versus maintenance stage. Application of two models of communication in choice theory, namely (a) caring habits replacing deadly habits and (b) circle of strength replacing triangle of pain, is being discussed.