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This chapter begins with a brief history of the ways in which alcohol has been ingrained in American culture since the arrival of European settlers and their enslavement of African people. The chapter then addresses important aspects of alcohol and other drug use among college students. Because of the popularity of alcohol and cannabis among college students, they occupy the primary focus of the chapter, although other psychoactive drugs are briefly discussed as well. The chapter draws from data collected by the Healthy Minds Study, the Center for Collegiate Mental Health (CCMH) and the American College Health Association (ACHA) in describing the prevalence of alcohol and cannabis use among college students, as well as trends in the use of both substances. The reasons college students drink and use cannabis are explored, as are the many consequences, including academic, legal, physical and interpersonal. The chapter examines a number of prevention strategies that colleges have used to minimize the negative consequences of substance use, including large-scale scare tactics, educational efforts and norming campaigns, as well as individually tailored programs; the effectiveness of each is reviewed.

This study aims to examine the real effects of financial misconduct on corporate innovation.

The authors use a sample of Chinese A-share listed firms from 2006 to 2017. This study uses several empirical strategies to deal with endogeneity concerns, including Heckman’s two-stage correction approach, propensity score matching and instrumental variables.

The authors’ findings consistently show that financial misconduct impedes corporate innovation. Furthermore, the authors’ analysis demonstrates that the negative impact of financial misconduct is more pronounced in nonstate enterprises. The authors also show that financial misconduct discourages innovation through information, short-termism and financing channels.

This paper is of particular interest to policymakers, as firm behavior is heavily regulated and altered by securities laws and regulations over time. The authors recommend firms to observe financial regulatory laws to promote capital market integrity and enhance shareholder value through innovation projects. The authors also recommend that regulators provide incentives that encourage corporate transparency and use new technologies to detect financial misconduct quickly.

Few studies in literature investigate the real consequences of financial misconduct on firm investments. Hence, this paper fills this gap by analyzing the implications of financial misconduct on corporate innovation. This study is one of the first to provide new insights into the adverse effects of financial misconduct on firm-level innovation, supported by empirical evidence.

Mental health champions (MHCs) and young health ambassadors (YHAs) are two innovative public health interventions. MHCs are practitioners who work in schools and other youth settings and aim to be the “go to” person for mental health in these settings. YHAs are a linked parallel network of young people, who champion mental health and advocate for youth involvement, which was co-produced with young people across all stages of development implementation. This paper aims to identify the potential benefits, barriers and facilitators of these interventions.

Semi-structured qualitative interviews (n = 19) were undertaken with a purposive sample of n = 13 MHCs, and n = 6 YHAs, between June 2021 and March 2022. Interviews were audio-recorded, transcribed, anonymised and then analysed following a thematic approach. Ethical approval was granted by Newcastle University’s Faculty of Medical Sciences Ethics Committee.

The findings are organised under five key themes: motivating factors and rewards for MHCs and YHAs; outcomes for children and young people (CYP) and others; impact on youth settings and culture; facilitators of successful implementation; and implementation challenges and opportunities.

These findings are intended to be of relevance to practice and policy, particularly to those exploring the design, commissioning or implementation of similar novel and low-cost interventions, which aim to improve mental health outcomes for CYP, within the context of youth settings.

The interventions reported on in the present paper are novel and innovative. Little research has previously been undertaken to explore similar approaches, and the individual experiences of those involved in the delivery of these types of interventions.

Knowledge of how social movements move, diffuse, and expand collective action events is central to movement scholarship and activist practice. Our purpose is to extend sociological knowledge about how movements (sometimes) diffuse and amplify insurgent actions, that is, how movements move. We extend movement diffusion theory by drawing a conceptual analogue with military theory and practice applied to the case of the organized and highly disciplined nonviolent Nashville civil rights movement in the late 1950s and early 1960s. We emphasize emplacement in a base-mission extension model whereby a movement base is built in a community establishing a social movement school for inculcating discipline and performative training in cadre who engage in insurgent operations extended from that base to outlying events and campaigns. Our data are drawn from secondary sources and semi-structured interviews conducted with participants of the Nashville civil rights movement. The analytic strategy employs a variant of the “extended case method,” where extension is constituted by movement agents following paths from base to outlying campaigns or events. Evidence shows that the Nashville movement established an exemplary local movement base that led to important changes in that city but also spawned traveling movement cadre who moved movement actions in an extensive series of pathways linking the Nashville base to events and campaigns across the southern theater of the civil rights movement. We conclude with theoretical and practical implications.

Gas flaring is a crucial issue in the energy transition era, as it is a major source of carbon emissions in the gas production chain. The reduction of flaring could potentially contribute to eliminating energy poverty, as the amount of gas currently flared each year could power the entirety of Sub-Saharan Africa. Despite Iran's zero-clearing target, the country ranks third in gas flaring globally, with 12% share. This case study examines the reasons behind gas flaring in Iran within the Sustainable Development Goals framework. The study reveals that while technological and economic difficulties were the primary obstacles in early years, policy malfunctioning has demonstrated the wicked nature of a sustainability problem in recent years. The traditional top-down institutional structure has led to interference from public agencies and Operations and Maintenance (O&M) companies, complicating decision-making. The lack of precise criteria for finding best solutions, as well as the absence of appropriate control and monitoring mechanisms, has further paralyzed efforts to reduce flaring. The intensification of conflict between interest groups has added complexity to the situation. The issue has been further complicated at higher levels due to economic sanctions. This study offers practical solutions for reducing flaring in Iran based on global experiences and policies and programs of some selected countries. These suggestions address the policy, technological, and institutional aspects of the problem and aim to pave the way for sustainable and responsible energy transition. By reducing gas flaring, Iran can contribute to global efforts to mitigate climate change and create a more equitable and sustainable energy future.

This study examines the impact of digital corporate social responsibility (CSR) on social entrepreneurship, organizational resilience and competitive intelligence during the coronavirus disease 2019 (COVID-19) crisis. It also examines the impact of competitive intelligence on social entrepreneurship and organizational resilience.

Data were collected from telecommunication companies in Jordan with a sample of 223 managers, using Smart-PLS for analysis and testing the research model and hypotheses.

The results reveal a significant impact of digital CSR on social entrepreneurship. They show that digital CSR significantly impacts organizational resilience. The findings also indicate a significant role of digital CSR in competitive intelligence. This study shows that social entrepreneurship significantly impacts organizational resilience. The results also confirm the impact of competitive intelligence on social entrepreneurship. Finally, the results confirm that competitive intelligence significantly impacts organizational resilience.

This study provides valuable academic and practical insights into digital CSR practices, social entrepreneurship and how to support organizational resilience during crises.

Chapter 6 explores the cultural impact of mental health, addiction, and dual diagnosis challenges with a specific focus on Irish society. The chapter takes a staggered approach whereby each type of challenge is separated and discussed individually, before being joined together through discussions on dual diagnosis as presented in Section 6.4. These discussions are designed to highlight the cultural deviance that is perceived by other people towards those with such diagnosis over the years that such diagnosis have been prevalent in history. In particular, the discussions around dual diagnosis here will strengthen the discussion in Chapter 4: ‘The Conundrum of Dual Diagnosis’ and will set the groundwork for the remainder of this text.

This study aims to examine the scope and contribution of Forensic Clinical Psychology (FCP) advice from the National Crime Agency (NCA) to criminal investigations in the UK to address the gap in current knowledge and research.

The 36 FCP reports reviewed were written between 2017 and 2021. They were analysed using Toulmin’s (1958) application of pertinent arguments to the evaluation process. The potential utility of the reports was analysed in terms of the advice provided.

Most of the reports involved murder and equivocal death. The reports focused primarily on understanding the offender’s psychopathology, actions, motivation and risk to self and others using a practitioner model of case study methodology. Out of the 539 claims, grounds were provided for 99% of the claims, 91% had designated modality, 62% of the claims were potentially verifiable and 57% of the claims were supported by a warrant and/or backing. Most of the reports provided either moderate or high insight into the offence/offender (92%) and potential for new leads (64%).

The advice provided relied heavily on extensive forensic clinical and investigative experience of offenders, guided by theory and research and was often performed under considerable time pressure. Flexibility, impartiality, rigour and resilience are essential prerequisites for this type of work.

To the best of the authors’ knowledge, this study is the first to systematically evaluate forensic clinical psychology reports from the NCA. It shows the pragmatic, dynamic and varied nature of FCP contributions to investigations and its potential utility.

This paper aims to analyze the role and performance of different artificial intelligence (AI) algorithms in forecasting future movements in the main indices of the world’s largest stock exchanges.

Drawing on finance-based theory, an empirical and experimental study was carried out using four AI-based models. The investigation comprised training, testing and analysis of model performance using accuracy metrics and F1-Score on data from 34 indices, using 9 technical indicators, descriptive statistics, Shapiro–Wilk, Student’s t and Mann–Whitney and Spearman correlation coefficient tests.

All AI-based models performed better than the markets' return expectations, thereby supporting financial, strategic and organizational decisions. The number of days used to calculate the technical indicators enabled the development of models with better performance. Those based on the random forest algorithm present better results than other AI algorithms, regardless of the performance metric adopted.

The study expands knowledge on the topic and provides robust evidence on the role of AI in financial analysis and decision-making, as well as in predicting the movements of the largest stock exchanges in the world. This brings theoretical, strategic and managerial contributions, enabling the discussion of efficient market hypothesis (EMH) in a complex economic reality – in which the use of automation and application of AI has been expanded, opening new avenues of future investigation and the extensive use of technical analysis as support for decisions and machine learning.

The AI algorithms' flexibility to determine their parameters and the window for measuring and estimating technical indicators provide contextually adjusted models that can entail the best possible performance. This expands the informational and decision-making capacity of investors, managers, controllers, market analysts and other economic agents while emphasizing the role of AI algorithms in improving resource allocation in the financial and capital markets.

The originality and value of the research come from the methodology and systematic testing of the EMH through the main indices of the world’s largest stock exchanges – something still unprecedented despite being widely expected by scholars and the market.

The purpose of this study is to contribute to previous research on customer relationships by quantitatively examining differences in the monetary benefits obtained by consumers using social and commercial relationships to make purchases from small and medium-sized enterprises (SMEs).

Customer transaction and relationship data from an SME in the USA is used to quantitatively assess the value of different marketplace relationships in an entrepreneurial context. Tobit regression is used to empirically model and test the impact of specific relationship characteristics on customer discounts.

Customers using social connections to make purchases obtain significantly larger discounts than customers using commercial connections; customers using direct connections attain significantly larger discounts than consumers using indirect connections (referrals). Interestingly, when examined by connection type, direct and indirect connections do not produce significant differences for social connections, yet they yield notable differences for commercial connections. The findings provide valuable insights to entrepreneurs for understanding and managing customer relationships.

This study empirically demonstrates that social relationships can be both prevalent and influential in the marketplace. The methodology used to quantitatively assess the monetary value associated with different methods of engaging with SMEs allows objective comparisons among different types of customer relationships. Quantification also allows important relationship characteristics to be empirically examined, including how the relationships compare to one another and to nonpersonal marketing activities. Ultimately, these novel contributions generate important insights to help marketers and entrepreneurs better understand customer relationships.