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An extensive research base supports the positive effects of self-monitoring interventions on a number of student outcomes, both academic and behavioral. While the vast majority of this research base relied on traditional paper-and-pencil forms of self-monitoring, advances in technology have created significant opportunities to develop technology-based self-monitoring (TBSM) systems that may offer a number of benefits in terms of efficiency and data management, storing, and graphing. Technology-based self-management applications have evolved and been studied extensively in health-related fields, but research and development for such applications is only beginning in the field of education. In this chapter we (1) provide a brief overview of the literature on traditional forms of self-monitoring, (2) examine how educators and educational researchers may apply lessons learned about TBSM from the medical field, (3) summarize emerging literature on TBSM for students with or at risk for emotional/behavioral disorders in particular, and (4) offer suggestions for future research and development in TBSM.

This chapter analyzes spatio-temporal patterns of female homicides in Mexico during the period 1990 to 2018. It analyzes socio-demographic and geographical characteristics of female homicides from which it is possible to apply statistical methods that identify regions with high incidence rates that persist over time. It is also discussed the growing participation of civil society organizations (CSOs) and its role on establishing accountability mechanisms and the developments of public policy programs in light of the poor institutional capacity of the Mexican state to address this problem. The findings here described suggest a demographic and geographic spread of female homicides – that is, the phenomenon of violence against women has reached more significant socio-demographic segments whose incidence covers a greater territorial extension. Furthermore, it is argued that despite the strategies implemented by the federal and local government on addressing the problem, the results are far from being acceptable. As argued, this calls for a nationwide initiative, the involvement of international agencies, and the consolidation of women’s empowerment though participatory mechanisms in all aspects of public life.

The dominant worldview among marketers is one of technology optimism, which holds that technological advances influence consumers and businesses in positive ways. In direct contrast to this perspective, I advance the thesis that at the organizational frontlines where marketers interact with consumers by observing, informing, persuading, negotiating and co-creating with, and entertaining them, technology commonly produces unforeseen and unexpected effects on consumers with significant negative implications for marketers. The result is Adverse Technology-Consumer Interactions (ATCIs). Marketing practitioners play an instrumental role in producing and exacerbating ATCIs. Yet, I argue they have few incentives to fully investigate the underlying reasons, understand their scope, or find solutions to these potentially troublesome phenomena. Academic researchers, however, are uniquely poised to identify ATCIs, investigate them in depth by considering their industry-wide and society-wide import, develop appropriate theoretical frameworks, and design and test solutions to alleviate their effects. I develop these ideas by considering two ATCIs, falling response rates to customer surveys and customer reactance to frequent price changes. I also point out promising research opportunities for both these phenomena.

This chapter describes and discusses the main results of the successful off-hour delivery (OHD) pilot test in the city of São Paulo, Brazil, which took place between October 2014 and March 2015. The pilot engaged major stakeholders in urban distribution, including local authorities, shippers, carriers, and receivers, with the aim to determine what are the main requirements, constraints, opportunities, and threats for establishing a public policy related to shifting deliveries to late night in order to mitigate traffic congestion.

Differently from the former City of New York OHD pilot, here all participant companies were volunteers, with no need for cash incentives. The primary focus in São Paulo was on the issues of safety and noise, besides productivity aspects of travel time, truck speed, and delivery time.

The pilot was very successful, with no registered complaints of noise or security incidents. Travel speeds were obtained from global positioning system (GPS) tracking data and internal delivery systems. The chapter compares daytime and night operations and shows that productivity in some chains would improve significantly, but noise and safety must be carefully controlled to guarantee the expansion of the concept.

In this chapter, I proposed the use of structured behavioral analysis (SBA) as a methodological approach to address critical questions in organizational behavior research in sub-Saharan Africa.

The chapter is a conceptual paper that reviews the extant literature on research tools aimed at coding and analyzing behavior, with a particular focus on employee behavior in African organizations.

SBA requires the researcher to act as both an organizational scholar and an anthropologist. As an organizational scholar, the researcher will identify predetermined behaviors that he/she intends to study. Thus, the observation and analysis will be geared toward such behaviors. As an anthropologist, the organizational researcher will observe behaviors that are displayed by employees and managers and use them as the basis for explanation and theory building.

SBA can be used to study behaviors that often occur in African organizations, such as nepotism, corruption, the role of tribal status, and the impact of family generosity, the forced solidarity tax, and obligations on employee behavior.

Findings from SBA could help design interventions to address the detrimental effects of negative behaviors while reinforcing positive behaviors in African organizations.

As a research methodology, SBA is relatively new in the African context although some versions of the method are used in industrial/organizational psychology and ergonomics.

Apparently, scholarly attention is shifting to Society 5.0. The study of Industry 4.0 (I4.0), including its impacts on industrial productions and services, is saturated. However, there is a need for scientific investigations of the relatively new emerging concept of Society 5.0, especially regarding its relationship with I4.0. Given this necessity, the chapter conceptually examines Society 5.0 new normal and its antecedent – I4.0, with a value of the economically productive society in the post-coronavirus pandemic era. The chapter further elucidates the strategic role of emotional resilience and I4.0 collaborative partnership. Society 5.0 aims for a new society based on the notion of a human-centred economy and inclusivity. Consequently, new sets of innovative and artistic jobs will possibly emerge, driven by human competencies in collaboration with technology. In other words, Society 5.0 new normal is targeting a balanced or blended economic approach that favours a fit between society and industry and ensures that all citizens live a high-quality life by eliminating the delimiting effect of technology such as artificial intelligence (AI) on the physical space and wellbeing of the people. Hence, I4.0 collaborative partnership and emotional resilience are perceived as strategic and influential in achieving the feat of a Super Smart Society.

After a vigorous debate in the late 1970s, the sociology of emotion put aside most discussion of whether or not the physiological arousal associated with emotion labels is differentiated. Since this early period, scholars have made great progress on two fronts. First, theories about the interrelationship of identity, action and emotion have specified a family of new concepts related to emotion. Second, a large corpus of research on the physiological correlates of emotional experience emerged. In this chapter, we review the well-developed control theories of identity and emotion, and focus on the key concepts that might relate to different physiological states. We then review the general classes of physiological measures, discussing their reliability, intrusiveness and other features that might determine their usefulness for tracking responses to social interaction. We then offer a highly provisional mapping of physiological measures onto the concepts that they might potentially measure, given past research about how these physiological processes relate to environmental stimuli. While any linkage between concepts and measures must be speculative at this point, we hope that this review will serve as a stimulus to theoretically guided research that begins to assess the validity of these new measures for sociological use.