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Results from high‐stakes tests of intelligence are used everyday to make decisions that impact the lives of individuals and families. Although many clinicians know how to calculate test scores, few have a firm understanding of the construct intelligence, how tests measure intelligence, and more importantly, how results from intelligence tests may be used to develop client specific recommendations and interventions.

Prosociality is considered important in the study of offenders and associated cognitive skills: theory of mind, empathic understanding and moral reasoning, are said to enable self-control and reduce the risk of offending behaviours. Previous research has made associations between these skills and executive functioning; however, research into a link between them, in an offending population, is limited. The paper aims to discuss this issue.

To further understand the practicalities of this, the present study considered the predictive abilities of the constructs believed to underpin executive functioning: working memory, cognitive flexibility and inhibitory control, in relation to theory of mind, empathic understanding and moral reasoning. In total, 200 male and female offenders completed measures in all six constructs.

Using path analysis working memory was demonstrated to be predictive of theory of mind and empathic understanding, cognitive flexibility was found to be predictive of theory of mind, and inhibitory control was found to be predictive of theory of mind, empathic understanding and moral reasoning.

The study focussed on offenders serving a custodial sentence of six months or less and did not differentiate between crime categories or take into consideration the socio-environmental backgrounds or ethnicity. Therefore, considering these things could further establish the generalisability of the current findings. It is noted that the more focussed the intervention is to the specific needs of an offender, the greater the impact will be. Therefore, pre-screening tests for the constructs discussed may be able to more accurately assess an offenders’ suitability for a programme, or indeed tailor it to meet the specific needs of that person.

These findings may enable practitioners to more accurately assess offenders’ suitability for interventions aimed at reducing offending behaviours by improving levels of prosociality and develop more focussed programmes to meet the specific needs of individual offenders to reduce re-offending.

As recommended in the study, a more tailored approach to offender rehabilitation may be a potential aid to reducing levels of recidivism.

The present study adds to the literature as it is the first to consider whether the constructs of executive functioning can predict levels of theory of mind, empathic understanding and moral reasoning and so provide a more accurate method in assessing the cognitive abilities of offenders prior to participation in rehabilitative interventions.

Purpose – In recent decades, some sociologists have turned to evolutionary biology, neuroscience, and cognitive science to support, modify, and reconfigure existing social psychological theory. In this chapter, we build on this momentum by considering the relevance of current work in affective and cognitive neuroscience for understanding emotions and the self. Our principal aim is to enlarge the range of phenomena currently considered by sociologists who study emotion while showing how affective dynamics play an important role across most outcomes and processes of interest to social scientists.

Approach – We focus on the ways external social objects become essential to, and emotionally significant for, the self. To that end, we draw on ideas from phenomenology, pragmatism, classic symbolic interactionism, and dramaturgy. We show how basic affective systems graft on, build from, and extend current social psychological usages of emotions as well as the important sociological work being done on self, from both symbolic interactionist (SI) and identity theory (IT) perspectives. Finally, we turn to the promising directions in studying emotional biographies and various aspects related to embodiment.

Findings – Affective systems consist of brain networks whose connections deepen when activated, with interesting variations observable at the neural, individual, and social levels in which one or more system is more salient than others. Affective systems may come to saturate the construction and maintenance of an autobiography or collective biography, with consequences for self-projection, self-other attunement, and embodied action. In turning to embodiment, however, we consider aspects of cognitive neuroscience that can contribute to ongoing work in neurosociology building on symbolic interactionism.

Practical Implications – The focus on affective systems suggests new research agendas in leveraging emerging neurosociological methods in the laboratory, while pushing for novel, naturalistic observational strategies. The latter, in particular, may be key to deepening sociology's contributions to neuroscience, better positioned to bring the full disciplinary toolkit to bear on these questions.

Social Implications – In considering the embodied and projective aspects of the self, we show how work examining convergence and divergence between embodied and linguistic pathways opens up new insights into how the self develops or acquires behavioral repertoires. As such, this chapter points to the need for holistic approach to understanding the social actor and, thereby, how political, economic, historical, and cultural factors shape self as much as biogenetic and psychological.

Originality of the Chapter – Sociologists think of emotions as either dependent or intervening variables: (1) signaling identity or situational incongruence, (2) states to be managed, and (3) structural dimensions of superordinate–subordinate relationships. Our integration of the theory of affective systems emphasizes the causal primacy emotions have over other behavioral and cognitive functions, clarifying how they play into the construction and maintenance of self and social experience.

Artificial intelligence (AI) is currently having a dramatic impact on marketing. Future manifestations of AI are expected to bring even greater change, possibly ushering in the realization of the fourth industrial revolution. In accord with such expectations, this paper aims to examine AI’s current and potential impact on prominent service theories as related to the service encounter.

This paper reviews dominant service theories and their relevance to AI within the service encounter.

In doing so, this paper presents an integrated definition of service AI and identifies the theoretical upheaval it creates, triggering a plethora of key research opportunities.

Although scholars and practitioners are gaining a deeper understanding of AI and its role in services, this paper highlights that much is left to be explored. Therefore, service AI may require substantial modifications to existing theories or entirely new theories.

The objective of this paper is to investigate the validity of stock valuation theories and their forecasting ability by conducting an empirical study. It employs four most commonly used theories which are then tested using 19-year banking-firm market data. The usefulness of these models demonstrates with promising results.

This paper conducts a multi-country study using the multi-model testing approach to evaluate validity of theories and forecast accuracy of banking firms. It employs four methodology models used in finance literature; (1) P/E multiples model, (2) accounting-information-based clean surplus model, (3) theoretical model based on Gordon and Shapiro (1956) method and (4) the Damodaran-Kottler Free Cash Flow or FCF theory based on discounting model.

The tests show that the four theories under tests have a significant fit with actual price formation. The explained variation ranges from 72 to 92%, so the explanatory power of the theories accounting for variations in bank prices over 19-year period is substantial. The models fit suggest that the P/E model has superior predictive power followed by the RIM, DDM and FCFE. These findings shed new lights on the relative performance of valuation models.

The study is limited in terms of the sample period size for 1999–2019. The availability of essential financial data prior to 2000 is very limited, so one can understand interpretation of statistical results under certain assumptions.

The paper suggests that one-factor model is better than the two-factor model.

The work done in this paper is unpublished and original contribution to banking and finance literature and also not under consideration for publication in any other journal.

The chapter begins by presenting a case study of a 4th grade student, who has been referred by his teacher for an evaluation. However before this case can be completely understood, it is necessary to understand the limitations associated with the general intelligence approach of assessment. The chapter provides an overview of these limitations and suggests using a processing-based approach instead of a general intelligence approach. The second section outlines the Planning, Attention, Simultaneous, and Successive (PASS) theory and approach toward assessment, which is supported by neuropsychological research. The final section returns to the case study and demonstrates how the information gathered using the PASS theory and Cognitive Assessment System (CAS) can be used to guide interventions for various learning disabilities.