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The authors develop a three-stage framework for strategic marketing planning, incorporating multiple artificial intelligence (AI) benefits: mechanical AI for automating repetitive marketing functions and activities, thinking AI for processing data to arrive at decisions, and feeling AI for analyzing interactions and human emotions. This framework lays out the ways that AI can be used for marketing research, strategy (segmentation, targeting, and positioning, STP), and actions. At the marketing research stage, mechanical AI can be used for data collection, thinking AI for market analysis, and feeling AI for customer understanding. At the marketing strategy (STP) stage, mechanical AI can be used for segmentation (segment recognition), thinking AI for targeting (segment recommendation), and feeling AI for positioning (segment resonance). At the marketing action stage, mechanical AI can be used for standardization, thinking AI for personalization, and feeling AI for relationalization. We apply this framework to various areas of marketing, organized by marketing 4Ps/4Cs, to illustrate the strategic use of AI.

In this presidential address, I advance a theoretical sketch on racialized emotions—the emotions specific to racialized societies. These emotions are central to the racial edifice of societies, thus, analysts and policymakers should understand their collective nature, be aware of how they function, and appreciate the existence of variability among emoting racial subjects. Clarity on these matters is key for developing an effective affective politics to challenge any racial order. After the sketch, I offer potential strategies to retool our racial emotive order as well as our racial selves. I end my address urging White sociologists to acknowledge the significance of racism in sociology and the emotions it engenders and to work to advance new personal and organizational anti-racist practices.

This article highlights the role that emotions play in engagements with data and their visualisation. To date, the relationship between data and emotions has rarely been noted, in part because data studies have not attended to everyday engagements with data. We draw on an empirical study to show a wide range of emotional engagements with diverse aspects of data and their visualisation, and so demonstrate the importance of emotions as vital components of making sense of data. We nuance the argument that regimes of datafication, in which numbers, metrics and statistics dominate, are characterised by a renewed faith in objectivity and rationality, arguing that in datafied times, it is not only numbers but also the feeling of numbers that is important. We build on the sociology of (a) emotions and (b) the everyday to do this, and in so doing, we contribute to the development of a sociology of data.

Subjective feelings are a central feature of human life. We defined the organization and determinants of a feeling space involving 100 core feelings that ranged from cognitive and affective processes to somatic sensations and common illnesses. The feeling space was determined by a combination of basic dimension rating, similarity mapping, bodily sensation mapping, and neuroimaging meta-analysis. A total of 1,026 participants took part in online surveys where we assessed (i) for each feeling, the intensity of four hypothesized basic dimensions (mental experience, bodily sensation, emotion, and controllability), (ii) subjectively experienced similarity of the 100 feelings, and (iii) topography of bodily sensations associated with each feeling. Neural similarity between a subset of the feeling states was derived from the NeuroSynth meta-analysis database based on the data from 9,821 brain-imaging studies. All feelings were emotionally valenced and the saliency of bodily sensations correlated with the saliency of mental experiences associated with each feeling. Nonlinear dimensionality reduction revealed five feeling clusters: positive emotions, negative emotions, cognitive processes, somatic states and illnesses, and homeostatic states. Organization of the feeling space was best explained by basic dimensions of emotional valence, mental experiences, and bodily sensations. Subjectively felt similarity of feelingswas associated with basic feeling dimensions and the topography of the corresponding bodily sensations. These findings reveal a map of subjective feelings that are categorical, emotional, and embodied.

Purpose Expanding on the research of the antecedents of abusive supervision, this study aims to explore supervisor role overload as a supervisor-level predictor of abusive supervision. Based on transactional stress theory, the authors investigate role overload that is appraised as a challenge or a hindrance stressor by supervisors, leading to pleasant or unpleasant feelings, respectively. The authors propose that, based on their appraisal, these feelings of supervisors act as a mediating mechanism that can facilitate or inhibit their abusive behaviour at work. Additionally, the authors posit emotional intelligence (EI) as a key moderator in helping supervisors manage the negative feelings arising from perceiving role overload as a hindrance and preventing them from demonstrating abusive supervision. Design/methodology/approach To test the proposed moderated mediation model, the authors collected two-wave data from middle-level supervisors or managers from several organisations located in the Eastern Province of Saudi Arabia (N = 990). Findings The results largely support the hypothesised relationships and show that depending on supervisor appraisal, role overload can generate pleasant or unpleasant feelings in supervisors and, consequently, impede or facilitate abusive supervision. They also shed light on the moderating effect of EI, in that supervisors scoring high on EI are better equipped to deal with unpleasant feelings arising from role overload and effectively manage their workplace behaviour, that is, to avoid abusive behaviours. Originality/value Role overload can have different impacts on employees: on the one hand, there is a potential for growth, which entails drive and enthusiasm; on the other hand, it could feel like an unsurmountable mountain for employees, leading to different forms of anxiety. Because what we feel is what we project onto others, supervisors experiencing unpleasant feelings cannot be the best leader they can be; even worse, they can become a source of negativity by displaying destructive behaviours such as abusive supervision. The corollary of something as minor as an interaction with a leader experiencing unpleasant feelings could have a ripple effect and lead to adverse outcomes for organisations and their employees. This study explores the different perceptions of role overload and the subsequent feelings coming from those perceptions as supervisor-level predictors of abusive supervision. While it is not possible to objectively put a different lens inside the minds of supervisors when they face stressors at work, to feel pleasant or unpleasant, they can be trained to manage their negative feelings and keep their behaviours in check. Particularly, training managers to be more emotionally intelligent can help them not only achieve growth by overcoming challenges at work but also acknowledge and adapt their feelings to keep their behaviours in the workplace positive. In practical terms, this research can provide organisations with the knowledge required to nip the problem of abusive supervision in the bud, as prevention is always better than cure.

This research examines the effect of social exclusion on consumers’ preferences for visual density. Based on seven experimental studies, we reveal that consumers who perceive themselves as socially excluded evaluate products with dense visual patterns more positively than their nonexcluded peers. This effect occurs because social exclusion triggers a feeling of psychological emptiness and dense patterns can provide a sense of being “filled,” which helps to alleviate this feeling of emptiness. This effect is attenuated when consumers physically fill something or experience a feeling of “temporal density” (i.e., imagining a busy schedule with many tasks packed into a short time). These results shed light on consumers’ socially grounded product aesthetic preferences and offer practical implications for marketers, designers, and policy makers.

PurposeThe purpose of the paper is to note that customers are not necessarily human and to figure out how best to serve artificial intelligence (AI) customers. The authors also propose several major research streams, as examples, to help launch research on AI customers and how to serve them.Design/methodology/approachThe current paper is a conceptual one that draws upon research from many areas to support the ideas proposed.FindingsAI customer are proliferating. AI as customers can augment or replace human customers and can be the customer itself. Service providers may also be AI, which means that both humans serving AI customers and AI serving AI customers are relevant here. The authors show that even truly autonomous AI customers are likely to be more common in the future. The authors conclude that reverse engineering will probably not be successful in understanding AI customers and that an approach similar to how we research human consumer behavior is likely to be more useful.Originality/valueVirtually, the entire literature on customers and how to serve them assumes that customers are human. With the rapid advancement of AI, purchase decisions are increasingly made by AI, suggesting that it is now important and necessary to consider the possibility of AI customers and how best to serve them. This paper opens the door for such research.

The aim of this study was to reconstruct subjective constructions of experiences in PE and feelings of being valued within PE classes in Germany by students with visual impairment (VI). Two female and two male students (average age: 19.25 years) participated in the study from the upper level. For the reconstruction of experiences of feeling valued, episodic interviews with a semi-structured interview guide were used. The data analysis was conducted with MAXQDA 2020 based on content-related structuring of qualitative text analysis with deductive–inductive category formation. To structure the analysis, the main category, feelings of being valued, was defined by two poles (positive feelings of being valued as opposed to bullying). As a main finding, respondents primarily reported negative feelings and experiences characterized by instances of bullying, discrimination, and physical and social isolation, perpetuated by both their peers and teachers. In search of a deeper understanding, we identified social hierarchy as an underlying structure determining the students’ perceived positioning within the social context and thus directing their feelings of being (de-)valued. It became evident that it is not the setting per se that determined social hierarchy, but that it is more about the concrete manifestation of social hierarchy.

In this comprehensive account of the history and treatment of beriberi, Kenneth Carpenter traces the decades of medical and chemical research that solved the puzzle posed by this mysterious disease. Caused by the lack of a minute quantity of the chemical thiamin, or vitamin B1 in the diet, beriberi is characterized by weakness and loss of feeling in the feet and legs, then swelling from fluid retention, and finally heart failure. Western doctors working in Asia after 1870 saw it as the major disease in native armed forces and prisons. It was at first attributed to miasms (poisonous vapors from damp soil) or to bacterial infections. In Java, chickens fed by chance on white rice lost the use of their legs. On brown rice, where the grain still contained its bran and germ, they remained healthy. Studies in Javanese prisons then showed beriberi also occurring where white (rather than brown) rice was the staple food. Birds were used to assay the potency of fractions extracted from rice bran and, after 20 years, highly active crystals were obtained. In another 10 years their structure was determined and \"thiamin\" was synthesized. Beriberi is a story of contested knowledge and erratic scientific pathways. It offers a fascinating chronicle of the development of scientific thought, a history that encompasses public health, science, diet, trade, expanding empires, war, and technology. From the preface: This is a medical detective story: beginning with the investigation of a disease that has killed or crippled at least a million people, and then following up clues that ranged much wider. One outcome was the production of a synthetic chemical that we now, nearly all of us, consume in small quantities each day in our food. The detectives had a variety of professions and spoke different languages. Their work ranged from studying the health of laborers in a primitive jungle to the painstaking dissection of individual grains of rice under a microscope. The integrated story of their struggles and successes, culled from old volumes in scattered libraries, forms the subject of this book.

Sharing others’ emotional states may facilitate understanding their intentions and actions. Here we show that networks of brain areas “tick together” in participants who are viewing similar emotional events in a movie. Participants’ brain activity was measured with functional MRI while they watched movies depicting unpleasant, neutral, and pleasant emotions. After scanning, participants watched the movies again and continuously rated their experience of pleasantness–unpleasantness (i.e., valence) and of arousal–calmness. Pearson’s correlation coefficient was used to derive multisubject voxelwise similarity measures [intersubject correlations (ISCs)] of functional MRI data. Valence and arousal time series were used to predict the moment-to-moment ISCs computed using a 17-s moving average. During movie viewing, participants' brain activity was synchronized in lower- and higher-order sensory areas and in corticolimbic emotion circuits. Negative valence was associated with increased ISC in the emotion-processing network (thalamus, ventral striatum, insula) and in the default-mode network (precuneus, temporoparietal junction, medial prefrontal cortex, posterior superior temporal sulcus). High arousal was associated with increased ISC in the somatosensory cortices and visual and dorsal attention networks comprising the visual cortex, bilateral intraparietal sulci, and frontal eye fields. Seed-voxel–based correlation analysis confirmed that these sets of regions constitute dissociable, functional networks. We propose that negative valence synchronizes individuals’ brain areas supporting emotional sensations and understanding of another’s actions, whereas high arousal directs individuals’ attention to similar features of the environment. By enhancing the synchrony of brain activity across individuals, emotions may promote social interaction and facilitate interpersonal understanding.