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Purpose – We summarize three previous neuroeconomic studies with two features that distinguish them from most others in experimental economics: (1) the use of physical pain to induce incentives and (2) acquisition of data on brain activation levels. By correlating behavior when payoffs are painful with brain activation, we are able to test for the neurobiological relevance of important phenomena previously observed in experimental studies that are at odds with classical economic theories of decision-making. These specific phenomena are (a) negative discounting of future payoffs; (b) nonlinear probability weighting; (c) the experience of regret and rejoice when making a decision under risk.

Methodology/approach – The expectation of pain is created through the use of mild electric shocks to the top of the foot. Pain confers disutility, so decisions are made in the domain of losses relative to the status quo. Simultaneous with these decisions, brain activation data is acquired through functional magnetic resonance imaging (fMRI).

Findings – We find evidence for negative time discounting of electric shocks. Participants who exhibited the most extreme forms of this discounting were distinguished by early and robust activation of a subset of the cortical pain matrix. We also find evidence for probability weighting in the domain of electric shocks, which is manifest at the neural level. We find evidence both behaviorally and neurally for regret and rejoice functions for painful outcomes.

Originality/value of chapter – Previous experimental economic studies in the domain of losses have typically used monetary rewards. Here, we report behavioral effects and neural correlates using pain.

Students with Emotional and Behavioral Disorders (E/BD) have been consistently experiencing dismal outcomes. The purpose of this chapter is to provide a brief overview of outcomes for this population, examine school-based instructional and behavioral strategies, and discuss transition related practices intended to improve present and future outcomes. It is recommended that while transition-specific practices are essential in maximizing the potential for success in post-school environments, it is also necessary to ensure that students with E/BD are engaged in school through evidence-based practices in early intervention/prevention, instructional, and behavioral interventions.

Neuroeconomics is the study of how the brain makes economic decisions. By its nature neuroeconomics studies the mechanisms of decision-making, assumed to be computational, in order to better understand the strategies people use and the choices that people make. The focus of this book is how neuroeconomics connects to health economics in a way that improves our understanding of health care and treatment decisions. This is natural for several reasons. First, the brain and the body are intimately connected to each other and the health of one depends on the other. Second, the health system is inherently about decisions. Decisions to stay healthy, decisions to diagnose illness, decisions to treat, decisions to invest in new treatments, decisions to insure, and decisions to pay. Finally, these decisions can be difficult, as the media's consistent attention to this area attests. In light of this, for this volume we chose to include chapters that review basic research on emotion or social preference that have direct relevance to decisions in health economics. We have also included chapters that refer more specifically to some aspect of people's health care or treatment decisions. In the following we indicate the chapters within each topic area. Although many chapters could arguably fit in multiple categories, we have listed each chapter only once and without particular order.

Recent years have witnessed a rise in interest in neuromarketing from academia and industry, as it offers practical tools for determining consumers' subconscious reactions to marketing stimuli. Despite this, the current state of neuromarketing research is not well supported by empirical data. To offer a thorough overview of the studies conducted on this discipline in the past few years, a bibliometric analysis of neuromarketing is carried out, taking into account its techniques, key areas and publication patterns trends from several viewpoints.

This study searched 463 documents for the web of science databases published during the previous sixteen years and visualized them. The graphical display of data was created using the VOS Viewer software.

Electroencephalogram (EEG) appeared as a predominantly tool used in neuromarketing research. EEG is either used alone or together with Human Eye-Tracking (HET). “Emotions” was identified in the study as a crucial area of neuromarketing, among other pertinent concepts. The study's results also showed that authors from the United States produced the most articles on neuromarketing, followed by those from the United Kingdom and Spain. The publishing trend, sources and major contributors in neuromarketing are identified using Web of Science data from 2006 to 2021. Overall, the research provides insight into neuromarketing's past, present and future as well as the most widely utilized analytical techniques.

The study's conclusions will be of interest to researchers in understanding the journals that publish neuromarketing research, the themes that contributors and writers have identified, and the countries where research is carried out. This is the first comprehensive study, to the authors' knowledge, that provides a general summary of the key trends in neuromarketing research throughout its history. To the authors' knowledge, this is the first thorough study that offers a broad overview of the most important developments in neuromarketing research from 2006 to 2021.

Scholars have repeatedly concluded that heritage is a significant value driver for luxury brands (Riley et al., 2004; Fionda and Moore, 2009; Wuestefeld et al., 2012; DeFanti et al., 2014; Ardelet et al., 2015; Dion and Borraz, 2015; Dion and Mazzalovo, 2016). However, little is known on how consumers of different age group make sense of heritage luxury. The purpose of this paper is to investigate how consumers of different age groups make sense of heritage luxury brands (HLBs).

To achieve this, semi-structured, one-on-one, face-to-face interviews were conducted with 21 consumers of HLBs who fell into one of three age groups: Emerging adults (18 to 25 years), middle-aged adults (33 to 40 years) and older adults (67 to 74 years old).

The findings of this paper explored the different perceptions of the dimension of heritage in relation to luxury among consumers of different age groups. This paper focuses on the pioneering contributions of Urde, Greyser and Balmer (2007) in defining the dimensions of heritage brands. Although the dimensions of heritage brands defined by Urde et al. (2007) were useful as a starting point, differing perceptions among consumers of different age groups emerged which need to be considered. Findings of this study showed that consumers of all three age groups revealed three characteristics of HLBs. These are timelessness, quality craftsmanship and prestige. The durability and lasting appeal of HLBs was attributed to their high-quality craftsmanship. Quality craftsmanship, recognizability and price contributed to the perceived prestige value of HLBs. It was apparent throughout this study that HLB items helped participants feel connected to others, including their mothers or more remote forebears, their contemporaries and their descendants.

The author aims to understand the interplay between heritage and luxury, to understand how luxury brand consumers of different age groups are influenced by the heritage dimension. The relation between luxury and heritage becomes particularly intriguing when we consider how it affects the perceptions of consumers of different age groups.

Organizational research has suggested that network ties influence adoption of innovations and other organizational behavior. This paper aims to study the impact of network ties on change in police agency practices in a sample of city and county police agencies for which Weiss provided data on informal communication ties between agency planners.

The authors analyzed change in six agency practices from 1997 to 2000, as indicated in law enforcement management and administrative statistics (LEMAS) data, with a variable indicating whether an agency's network contact engaged in the practice.

Network ties appeared to influence change in computer use for crime mapping, with change more likely when the agency and its network contact initially differed with respect to the practice. Statistically significant network influences were not found for change in the other practices (existence of a formal community policing plan, geographic assignment of detectives, encouragement of scanning, analysis, response, and assessment (SARA) problem‐solving, computer use for resource allocation, and patrol access to criminal histories).

Results suggest that network ties may affect change in policing practices and innovation, but that this does not necessarily hold across all types of practices.

With at least some evidence of network influences, results suggest that policymakers should attempt to take advantage of network structure when encouraging beneficial changes in agency practices.

This paper studies the impact of network ties on change in police agency practices in a sample of city and county police agencies.