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In this chapter, the authors envision a new framework for technology-enabled local engagement. This framework would exploit web-based collaboration technology in order to create local engagement panels that represent a cross section of ordinary residents. For concreteness, the authors illustrate the framework in a proposed study called “Clearing the Air” would enable residents in the areas of Southern California that are most impacted by the logistics industry to have substantive and constructive opportunities to engage local officials on the complex economic and environmental matters related to logistics and emissions in the Southern California region. The authors propose methods to evaluate best practices in the use of collaboration technology, in particular, to learn whether the technology enables and empowers the engagement panels to participate in air quality governance at a high level and helps local officials better understand the considered opinions of residents on these important matters. If successful, this framework would integrate the policy views of individual residents alongside those of organized stakeholders, experts, and agency officials in the policy process.

Scandals regularly sweep through organizational fields: they wreak havoc in markets, vaporize billions of dollars in firm value, bring down giant corporations, get CEOs fired, alter the evolution of technologies, and trigger major changes in society. In spite of their significance for organizational life, scandals have received remarkably limited attention in management research. I build on the social sciences’ sparse but growing stream of research on scandals to explore the concept beyond its usual representation as a discrete event. I propose that an organizational scandal may be understood as an interactional process associated with the disclosure of alleged organizational misconduct that involves: a public struggle between alleged perpetrators and social control agents over the framing of organizational misconduct; moralizing by audience members; collective effervescence at the societal level; and the potential rewriting of the moral rules applicable to organizations and their members.

The study investigates the effects of energy resource efficiency on the triple themes of sustainable development (economic, social and environmental dimensions). We adopt a quantitative research method, and the required macroeconomic data were extracted from World Development Indicators for a period of 30 years (1991–2020). The extracted data were analysed using correlation analysis and linear regression. Ultimately, the estimations from the three models produced mixed results. Energy resource efficiency (EFF) exerts a significant positive effect on economic sustainability (ECS), a significant negative effect on social sustainability (SOS) and a significant negative effect on environmental sustainability (EVS). However, claims on government (COG) exerted an insignificant negative effect on ECS, an insignificant negative effect on SOS and a significant positive effect on environmental sustainability (EVS). In practical terms, the findings are consistent with previous empirical studies, and they also validate X-efficiency theory (XET) and resource curse theory (RCT). The study concludes with implications, limitations and further research directions.

This chapter introduces the aims, objectives and potential outreach of the handbook. The handbook is both a quest for insights from leadership theory and practice in the contemporary world and a manifesto for leadership training through a value-based approach to authenticity. Contributors in this handbook do not belong to the orthodox authentic leadership community. They offer varied, provocative views and personal case studies of leadership. Some endorse aspects of the concept of authentic leadership while developing new understanding of authenticity, others suggest that it is flawed; others offer fresh, challenging, leadership insights. The chapter concludes with a brief introduction to all chapters in the handbook.

The complexity of atmospheric corrosion, further compounded by the effects of climate change, makes existing models inappropriate for corrosion prediction. The commonly used kinetic model and dose-response functions are restricted in their capacity to represent the non-linear behaviour of corrosion phenomena. The application of artificial intelligence (AI)-driven machine learning algorithms to corrosion data can better represent the corrosion mechanism by considering the dynamic behaviour due to changing climatic conditions. Effective use of materials, coating systems and maintenance strategies can then be made with such a corrosivity model. Accurate corrosion prediction will help to improve climate change resilience of the social, economic and energy infrastructure in line with the UN Sustainable Development Goals (SDGs) 7 (Affordable and Clean Energy), 9 (Industry, Innovation and Infrastructure) and 13 (Climate Action). This chapter discusses atmospheric corrosion prediction in relation to the SDGs and the influence of AI in overcoming the challenges.

This chapter is situated as a study of rural central New York, among a post-Vietnam generation, and under the force of land grabs following the United States farm crisis of the 1970s–1980s “consolidation” of farmlands into Concentrated Animal Feeding Operations (CAFOs). This study unfolds these surroundings of this particular rural society and environment through critical theory and socioanalysis focused on a mute narrative of reified (thingified) species and beings. From a student of sociology this chapter is a response to the conditions of academic character formation and how a particular local milieu constituted the affinities for investigating society with the environment of nonhumans as political.

The Volkswagen (VW) emissions scandal was one of the largest examples of organizational wrongdoing in corporate history, costing the firm immense damage to its reputation and over $33 billion in fines, penalties, financial settlements, and buyback costs. In this paper, we draw on the concept of boundary work to provide insight into the causes of wrongdoing at VW. Supplementing other work on the scandal, we show how the ways in which boundaries became established in the organization resulted in an internal context that defined “in” and “out” groups, normalized certain behaviors, and limited communication across intraorganizational boundaries. This allowed wrongdoing to not only become established but also to go unchallenged. We provide contributions to broader understandings of organizational wrongdoing and to the temporal unfolding of boundary work by theorizing how a combination of cognitive, horizontal, and vertical boundaries can create an infrastructure of organizational design that permits organizational wrongdoing, prevents it being challenged, and ultimately normalizes it in everyday activities.