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This chapter explores the development of advertising regulations governing food advertising to children in Australia since the 1940s. By introducing the advertising and marketing self-regulatory system, the Australian Government is taking a neoliberal approach, advocating for the free market to initiate and sustain the country’s economic development, instead of greater government regulation. By examining the primary and secondary literature, such as government reports and research, and newspaper and academic articles, this chapter outlines different regulatory initiatives adopted by both the government and food industry to limit food and beverage advertising to children on television and online, in order to prevent obesity rates increasing in children. This chapter synthesizes and critically evaluates food industry and public health studies, government and non-government reviews, and other research studies to evaluate the influence of self-regulation on Australian television food advertising within the neoliberal context since the 1990s. It contributes to the literature on food advertising regulations for children in Australia by offering evidence of how the government, public health authorities and the food industry have attempted to keep pace with changes in the advertising, marketing and media industries by developing and reviewing advertising codes. It identifies the loopholes that exist in these self-regulatory codes and concludes that Australia’s current advertising regulatory arrangements are failing to protect our children from unhealthy food marketing on television, especially on relatively under-regulated online platforms such as social media and branded websites. The issues identified in this chapter could aid the food and beverage industry, as well as the self-regulatory system, to offer comprehensive and applicable solutions to combat Australia’s obesity crises by implementing new legislations that align with different marketing practices.

This chapter address how critical feminist organization studies can shed light on the dominance of masculinist logics in TM theorizing in both theory and practice and open up opportunities to review TM systems that stress inclusion and equity. The exclusive approach is most worrisome given that contemporary events such as the prosecution of Harvey Weinstein the global ‘#metoo campaigns and the Sustainable Development Goals have highlighted the importance of equality agendas. We draw on transnationalism, intersectionality and postcolonialism approaches to illustrate how TM reinforces inequalities. Our contribution questions the elite logics, and the white Global North males that dominate both TM theorizing, and TM practitioners and denies many stakeholders voices and contributions to organization life. We also question the longevity of the elite mantra of MNCs’ HRM policy given that the Sustainable Development Goals are increasingly being advocated by the business community, and contradict entirely an organizational ethic premised on valuing the elite.

The dynamic effect of globalization on socio-economic disparity measured by the income inequality is always a noteworthy issue of research interests. Globalization is mostly appreciated from the aspect of economic growth, but it has been blamed for influencing the imperfect competition, environmental degradation, economic inequality, etc. Under this backdrop, this chapter seeks to examine the impacts of international trade and informational globalization on income inequality in both developing and developed groups of nations of the world using dynamic panel Generalized Method of Moments (GMM) estimates. The results of first difference dynamic panel GMM estimates imply the analogous impacts of trade and informational globalization on income inequality in both developing and developed groups of nations. However, the financial and political measures of globalization have dissimilar effects on income inequality across developing and developed economies.

We present a peer-to-peer teaching approach designed to prepare introductory accounting students to address ethical challenges they will face in the workplace. We describe the motivation, processes, and resources used, introduce an effectiveness measure and discuss refinements so that other universities may adopt the innovation.

Upper division Beta Alpha Psi (BAP) accounting honor society members, with faculty guidance, create and deliver workshops in the 200-level introductory accounting sequence using the Giving Voice to Values (GVV) curriculum. GVV provides tools to move from recognition to action when confronted with a values conflict. The BAP members had completed the GVV exercises and casework in their upper division accounting courses. Now as peer coaches, they guide sophomore-level business students through the GVV curriculum to prepare them to act on their values when challenged.

Post-training perceptions express consistent beliefs that the introductory accounting students’ skills and abilities had improved with the training. Additionally, introductory accounting students’ descriptions of how they would address values conflicts based on what they learned in the training reflects development of personalized specific approaches.

GVV provides students with an action-based ethics toolkit to build upon as they move forward academically and professionally. The peer-to-peer innovation builds stronger mentor and mentee ties and introduces the business program’s ethical culture to sophomore-level business students.

The innovation won the 2014 Beta Alpha Psi Ethics Award sponsored by Grant Thornton and reflects the first use of a peer-to-peer approach with GVV in a university setting.

While the field of criminology is rooted in sociological tradition, biosocial criminology has emerged as a promising perspective in studying antisocial behaviors. This perspective encompasses the research from other scientific disciplines, namely behavioral genetics and molecular genetics. At its core, biosocial criminology views criminal behavior as a function of both the social environment as well as biological/genetic factors. This chapter will provide a description of the prominent methodologies used in behavioral genetics and molecular genetics, a review of the empirical research, an overview of some of the statistical and methodological issues, as well as a discussion on the potential avenues for future research.

Purpose – The goal of this chapter is to demonstrate the importance of incorporating gene by environment (G×E) interactions into behavioral science theory and research.

Design/methodology/approach – We critique behavioral genetics, discuss the emergence of epigenetics, review findings on G×E effects, and present the differential susceptibility model of gene–environment interplay.

Findings – The studies reviewed demonstrate that genetic variation often interacts with environmental context to influence the probability of various behaviors. Importantly, in many, and perhaps most, of the studies reviewed, the genetic variable, unlike the environmental variable, has little if any main effect on the outcome of interest. Rather, the influence of the genetic variable is limited to its moderation of the effect of the environmental construct.

Research limitations/implications – Molecular G×E research does not undermine the importance of environmental factors; rather it shows how social scientific explanations of human behavior might be made more precise by incorporating genetic information. This suggests expanded research opportunities for those interested in social causation.

Social implications – This model of molecular G×E research presented suggests that a substantial proportion of the population is genetically predisposed to be more susceptible than others to environmental influence. We argue that this model of G×E is particularly relevant to sociologists and psychologists and has the potential to enhance the development of theory in both areas.

Originality/value – This chapter will be of particular interest to sociologists and psychologists who have found the behavioral genetic paradigm off-putting because of its emphasis on genetic main effects and genetic determinism. The current chapter offers an alternative model that may better capture the available data and better integrate social processes with genetic and biological processes.