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The current research aimed to examine the prevalence of Instagram posts featuring ultra-processed products targeted at adolescents in Uruguay and hence investigate the frequency of such posts among a vulnerable consumer segment in a country that cannot be classified as WEIRD (i.e. Western, educated, industrialized, rich and democratic).

The study relied on a cross-sectional content analysis. A total of 2,014 Instagram posts promoting ultraprocessed products or brands commercializing such products, generated by 118 Instagram accounts between August 15th, 2020, and February 15th, 2021, were analyzed. Nine indicators of food marketing targeted at adolescents were selected to identify posts targeted at this age segment. Inductive coding was used to describe the content of the posts. Descriptive statistics and generalized linear models were used to analyze the data.

In total, 17.6% of the posts were identified as targeted at adolescents. Graphic design and adolescent language were the most prevalent indicators of marketing targeted at adolescents, followed by explicit references to adolescents or young adults and memes. Posts identified as targeted at adolescents mainly promoted snacks and discretionary foods. Differences in the content of posts identified as targeted and not targeted at adolescents were observed.

The analysis was restricted to one social media platform in one country during a limited period of time, which limits the generalizability of the findings to other media platforms, samples and settings.

Results stress the need to implement digital food marketing regulations to reduce exposure of adolescents to the deleterious effects of stemming from marketing of unhealthy foods and provide empirical evidence to inform their development.

The study breaks new ground by analyzing the prevalence and exploring the characteristics and content of Instagram posts promoting ultra-processed products to adolescents in an under-researched geographic area of the world.

We develop and test an innovative approach to teaching financial statement analysis (FSA) and assessing student learning outcomes based on making complex stock investment decisions compared to professional analysts. We train students to apply FSA and emphasize interdisciplinary factors and high integrative complexity. Our innovative FSA teaching approach, which we apply in an MBA financial reporting course, involves the instructor lecturing on FSA as a tool for integrative and complex decision making, students researching and applying FSA to public companies, and presenting the rationale for individual and group stock investment decisions. The instructor gives high-quality and timely feedback on the students’ application of FSA with a focus on investment judgments involving critical thinking, problem-solving, and teamwork skills. Our detailed efficacy analysis shows that our FSA teaching approach is effective. Students who perceive a public company to have credible management, effective competitive strategy, and an acceptable level of financial flexibility make comparable individual and group stock investment decisions as professional analysts.

This case studies the growth of OYO Hotels (OYO) to illustrate the operational processes necessary to succeed in the service sector. The case allows for a discussion of employee- and customer-management systems, tech-driven solutions, and profit drivers. The material unfolds OYO's growth and its solution for making economy hotels discoverable and bookable online.

The case raises a series of questions around OYO's business model, its ability to translate across global markets, and growth potential. It has been successfully taught in a second-year MBA class on the management of service operations.

This chapter explores the complex intersection between students with disabilities and bullying prevention within educational settings. While bullying impacts all students, those with disabilities face unique challenges that make them more vulnerable to such experiences (Rose & Gage, 2016; Rose et al., 2011). By examining the underlying factors contributing to the heightened risk of bullying among students with disabilities, this chapter aims to provide a more comprehensive understanding of the issue. It delves into the specific ways in which students with disabilities are targeted and engage in bullying behaviors, such as through verbal, relational, or physical, and highlights the negative consequences on their overall well-being and academic performance. Moreover, this chapter examines existing interventions and strategies employed to prevent bullying among students with disabilities. It critically evaluates the effectiveness of individual, classroom, and school-wide interventions, highlighting the need for a comprehensive approach that addresses the unique needs and challenges faced by this subset of students. The importance of collaboration between educators, parents, and other stakeholders in implementing evidence-based practices is also emphasized. By promoting awareness, fostering inclusive school environments, and implementing targeted interventions, we can strive toward creating a safe and supportive atmosphere that enables students with disabilities to thrive academically and socially, free from bullying involvement.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

The paper seeks to explore the drivers of disaster planning in African-American households. While the paper is exploratory, the authors attempt to dialogue with substantial theoretical and applied research around vulnerability and disaster. Race, ethnicity and vulnerability are issues deeply entangled with American disaster preparedness and response. In this study, the authors hope to illuminate the threads which bind them together and contribute to a more nuanced understanding of the relationship between race, ethnicity, class and preparedness.

Data for this project come from a disaster planning question placed on the 2020 Collaborative Multiracial Post-Election Survey (CMPS). The authors analyze a split sample of around 5,000 African-American households descriptively and with multinomial logistic regression.

Disaster planning among African-American households is a product of past experiences, concern about other hazards, social trust and gender identity. These results are similar to other findings within the study of household preparedness and help to advance the understanding of predictors within the African-American community. Key drivers such as income, education level, gender identity, social trust and perceptions of other risks are consistent with previous studies.

This project is the first to examine issues of disaster planning utilizing a national sample of African-American households via the one-of-a-kind 2020 CMPS.

Just transition is a fundamental concept for supply chain management but neither discipline pays attention to the other and little is known about how supply chains can be orchestrated as socioecological systems to manage these transitions. Building from a wide range of just transition examples, this paper explores just transition to understand how to move beyond instrumental supply chain practices to supply chains functioning in harmony with the planet and its people.

Building from a systematic review of 72 papers, the paper identifies just transition examples while interpreting them through the theoretical lens of supply chain management, providing valuable insights to help research and practice understand how to achieve low-carbon economies through supply chain management in environmentally and socially just ways.

The paper defines, elaborates, and extends the just transition construct by developing a transition taxonomy with two key dimensions. The purpose dimension (profit or shared outcomes) and the governance dimension (government-/industry-led versus civil society-involved), generating four transition archetypes. Most transitions projects are framed around the Euro- and US-centric, capitalist standards of development, leading to coloniality as well as economic and cultural depletion of communities. Framing just transition in accordance with context-specific plural values, the paper provides an alternative perspective to the extractive transition concept. This can guide supply chain management to decarbonise economies and societies by considering the rights of nature, communities and individuals.

Introducing just transition into the supply chain management domain, this paper unifies the various conceptualisations of just transition into a holistic understanding, providing a new foundation for supply chain management research.

Northwest Nigeria is mostly populated by the Hausa and Fulani ethnic groups. Social inclusions and gender equality are listed among the fundamental rights. They are essential for human being to put up their best efforts in resolving all difficulties without restraint. Nonetheless, these rights are frequently withheld in many nations within the African continent, owing to ignorance, religion and custom fanaticism. In spite of these constraints, the northern Nigeria is faced with security issues such as persistent cattle rustling which ultimately evolved into armed banditry, which have exacerbated some lingering issues that revolves around children and women. This study attempts to examine the nature of the crisis that may relates to gender-based issues in Zamfara state. The article relied mostly on secondary literature. Evidences proved that security difficulties have worsened the living circumstances of women and girls in the understudied state, thereby espousing women and girls to dangerous attacks and hard living.

School counselors are committed to serving students' social-emotional, postsecondary, and academic needs while they navigate primary and secondary school (American School Counselor Association, 2019). Much has been said about the ways in which school counselors can impact postsecondary outcomes and social emotional health. It is important that we also address the ways school counselors can impact positive academic outcomes as it is intertwined in postsecondary options and success. For Black males, academic success has traditionally been met with systemic barriers (i.e., school-to-prison pipeline, lower graduation rates, lower incomes, higher unemployment rates, and lower college going rates (National Center for Edcuation Statisitics, 2019a, 2019b, 2020a, 2020b) and low expectations. School counselors are charged to be leaders and change agents for social justice and equity in our schools by the American School Counselor Association (ASCA, 2019) and can impact systemic change. This chapter will explore ways in which school counselors can impact positive academic outcomes for Black males. School counselors as change agents and advocates are positioned to make a real impact for Black male academic success. The authors will also provide some recommendations and best practices for elementary, middle, and high school counselors as they work with students, teachers, and families from an anti-deficit model as outlined by Harper (2012).

This study aims to use a novel data set of 636 murderers sentenced to death in California to investigate homicide offenses that are committed but not prosecuted or officially solved, a concept known as the dark figure of crime.

Uaing appellate records from the Supreme Court of California, which contain extensive information about the offender’s background, criminal offense history and mental health diagnoses, it was revealed that one-third of the offenders in the sample have additional homicide offenses for which they likely bear responsibility, but were not prosecuted.

Most of these involve one or two additional homicides, though a wide range was observed spanning 0 to 93 additional victims. Those with a dark figure of murder and unsolved homicides had substantially more prior arrests, convictions and prison incarcerations and were higher in psychopathy, sexual sadism, homicidal ideation and gang involvement than offenders without a dark figure. Psychopathy and homicidal ideation were the most robust predictors of both the presence and magnitude of a dark figure of murder and unsolved homicides, whereas sexual sadism was inconsistently associated.

A disproportionate amount of the unsolved murders in the USA are likely perpetrated by the most pathological types of offenders, those with extensive antisocial careers and severe externalizing psychopathology.