Social Decision Research Articles

Covid and the common good: In-group out-group dynamics and Covid-19 vaccination in Wales and the United States

Vaccination is a social act, where benefits spill-over to third parties. How we approach such social decisions is influenced by whether likely beneficiaries share salient social identities with us. This study explores these dynamics using representative survey data from two contexts: national identity groups in Wales (N = 4187) and political partisans in America (N = 4864).In both cases, those in the minority in their local area were less likely to be vaccinated. In Wales, respondents who did not identify as Welsh were less likely to be vaccinated the greater the proportion of residents of their local area identified as Welsh. In America, the vaccination rate of Biden voters fell off more steeply than that of Trump voters as the proportion of Trump voters in their county increased. Results are robust to controlling for likely confounds and sensitivity analyses. In-group out-group dynamics help to shape important health decisions.

Adaptive opinion evolution process with opinion dynamics for large-scale group decision making: A novel approach based on overlapping community detection in social networks

The rapid development of Web2.0 technologies and social media platforms has developed a new paradigm that allows many individuals to participate in decision-making processes within online social networks, leading to the rise of social network group decision making (SNGDM). Existing research in SNGDM primarily focus on small-scale DMs, which may not be suitable for large-scale SNGDM problems due to the high costs and time constraints of adjustments. Moreover, the non-overlapping community structure in social network encounter several limitations, further complicating the resolution of large-scale SNGDM problems. In this study, we propose an adaptive opinion evolution process with opinion dynamics for large-scale SNGDM. The proposed approach comprises four stages: classification of decision makers (DMs), determination of community weights, consensus reaching process, and alternative selection. A real-world application is utilized to demonstrate the effectiveness of the proposed method, and a comparison with existing related works highlights the advantages and innovation of the proposed model.

Moral decision-making in context: Behavioral and neural processes underlying allocations based on need, merit, and equality

How to fairly allocate goods is a key issue of social decision-making. Extensive research demonstrates that people do not selfishly maximize their own benefits, but instead also consider how others are affected. However, most accounts of the psychological processes underlying fairness-related behavior implicitly assume that assessments of fairness are somewhat stable. In this paper, we present results of a novel task, the Re-Allocation Game, in which two players receive an allocation determined by the computer and, on half of the trials, one player has the subsequent possibility to change this allocation. Importantly, prior to the receipt of the allocation, players were shown either their respective financial situations, their respective performance on a previous simple task, or random information, while being scanned using functional neuroimaging. As expected, our results demonstrate when given the opportunity, participants allocated on average almost half the money to anonymous others. However, our findings further show that participants used the provided information in a dynamic manner, revealing the underlying principle based on which people re-allocate money – namely based on merit, need, or equality – switches dynamically. On the neural level, we identified activity in the right and left dorsolateral prefrontal cortices related to context-independent inequity and context-dependent fairness information respectively when viewing the computer-generated allocations. At the same time, activity in the temporoparietal and precuneus represented these different types of fairness-related information in adjacent and partially overlapping clusters. Finally, we observed that the activity pattern in the precuneus and putamen was most clearly related to participants’ subsequent re-allocation decisions. Together, our findings suggest that participants judge an allocation as fair or unfair using a network associated with cognitive control and theory-of-mind, while dynamically switching between what might constitute a fair allocation in a particular context.

A premium for positive social interest and attractive voices in the acceptability of unfair offers? An ERP study.

Although the attractiveness of voices plays an important role in social interactions, it is unclear how voice attractiveness and social interest influence social decision-making. Here, we combined the ultimatum game with recording event-related brain potentials (ERPs) and examined the effect of attractive versus unattractive voices of the proposers, expressing positive versus negative social interest ("I like you" vs. "I don't like you"), on the acceptance of the proposal. Overall, fair offers were accepted at significantly higher rates than unfair offers, and high voice attractiveness increased acceptance rates for all proposals. In ERPs in response to the voices, their attractiveness and expressed social interests yielded early additive effects in the N1 component, followed by interactions in the subsequent P2, P3 and N400 components. More importantly, unfair offers elicited a larger Medial Frontal Negativity (MFN) than fair offers but only when the proposer's voice was unattractive or when the voice carried positive social interest. These results suggest that both voice attractiveness and social interest moderate social decision-making and there is a similar "beauty premium" for voices as for faces.

A Study on Optimizing the Maximal Product in Cubic Fuzzy Graphs for Multifaceted Applications

Graphs in the field of science and technology make considerable use of theoretical concepts. When dealing with numerous links and circumstances in which there are varying degrees of ambiguity or robustness in the connections between aspects, rather than purely binary interactions, cubic fuzzy graphs (CFGs) are more adaptable and compatible than fuzzy graphs. To better represent the complexity of interactions or linkages in the real world, an emerging CFG can be very helpful in achieving better problem-solving abilities that specialize in domains like network analysis, the social sciences, information retrieval, and decision support systems. This idea can be used for a variety of uncertainty-related issues and assist decision-makers in selecting the best course of action through the use of a CFG. Enhancing the maximized network of three cubic fuzzy graphs’ decision-making efficiency was the ultimate objective of this study. We introduced the maximal product of three cubic fuzzy graphs to investigate how interval-valued fuzzy membership, fuzzy membership, and the miscellany of relations are all simultaneously supported through the aspect of degree and total degree of a vertex. Furthermore, the domination on the maximal product of three CFGs was illustrated to analyze the minimum domination number of the weighted CFG, and the proposed approach is illustrated with applications.

Maximum Utility Consensus with Inequity Aversion in Social Network Group Decision Making

Maximum Utility Consensus with Inequity Aversion in Social Network Group Decision Making

Individual and ecological heterogeneity promote complex communication in social vertebrate group decisions.

To receive the benefits of social living, individuals must make effective group decisions that enable them to achieve behavioural coordination and maintain cohesion. However, heterogeneity in the physical and social environments surrounding group decision-making contexts can increase the level of difficulty social organisms face in making decisions. Groups that live in variable physical environments (high ecological heterogeneity) can experience barriers to information transfer and increased levels of ecological uncertainty. In addition, in groups with large phenotypic variation (high individual heterogeneity), individuals can have substantial conflicts of interest regarding the timing and nature of activities, making it difficult for them to coordinate their behaviours or reach a consensus. In such cases, active communication can increase individuals' abilities to achieve coordination, such as by facilitating the transfer and aggregation of information about the environment or individual behavioural preferences. Here, we review the role of communication in vertebrate group decision-making and its relationship to heterogeneity in the ecological and social environment surrounding group decision-making contexts. We propose that complex communication has evolved to facilitate decision-making in specific socio-ecological contexts, and we provide a framework for studying this topic and testing related hypotheses as part of future research in this area. This article is part of the theme issue 'The power of sound: unravelling how acoustic communication shapes group dynamics'.

Prosocial emotions predict individual differences in economic decision-making during ultimatum game with dynamic reciprocal contexts.

Social decision-making is known to be influenced by predictive emotions or the perceived reciprocity of partners. However, the connection between emotion, decision-making, and contextual reciprocity remains less understood. Moreover, arguments suggest that emotional experiences within a social context can be better conceptualised as prosocial rather than basic emotions, necessitating the inclusion of two social dimensions: focus, the degree of an emotion's relevance to oneself or others, and dominance, the degree to which one feels in control of an emotion. For better representation, these dimensions should be considered alongside the interoceptive dimensions of valence and arousal. In an ultimatum game involving fair, moderate, and unfair offers, this online study measured the emotions of 476 participants using a multidimensional affective rating scale. Using unsupervised classification algorithms, we identified individual differences in decisions and emotional experiences. Certain individuals exhibited consistent levels of acceptance behaviours and emotions, while reciprocal individuals' acceptance behaviours and emotions followed external reward value structures. Furthermore, individuals with distinct emotional responses to partners exhibited unique economic responses to their emotions, with only the reciprocal group exhibiting sensitivity to dominance prediction errors. The study illustrates a context-specific model capable of subtyping populations engaged in social interaction and exhibiting heterogeneous mental states.

Digitalization of Accounting Profession: A Decade of Bibliometric Analysis

The Fourth Industrial Revolution (IR4.0) has altered the global industry requirement to replace human labour with greater digital software and robotic function automation. Similar developments are anticipated in the accounting sector as well, with the shift towards digitalization of the accounting industry. The accounting profession gets more difficult in a digital world because accountants must have greater knowledge of information technology and accounting information systems. To better comprehend this problem, the present study examines the development of research articles on the digitalization of the accounting profession by analysing data from the Scopus database between 2014 and 2023, using bibliometric analysis. The analysis involved looking for patterns in research publications to establish the document type; languages; subject area, publication categories by authors, countries and sources titles, citation metrics and keywords. For this reason, 182 relevant documents were examined in Mac 2024 and the data were analysed using software of Microsoft Excel, VOSviewer, Harzing’s Publish or Perish. This study offers some insights regarding the future development and advancement of the digitalization of the accounting profession topic in the academic literature of Business, Management and Accounting; Economics, Econometrics and Finance; Social Sciences and Decision Sciences, as well as provides helpful information for academics and practitioners looking to analyse and delve deeper within this particular field of research.

Experiences and perspectives of adults on using opioids for pain management in the postoperative period: A scoping review.

Opioids play an important role in peri-operative pain management. However, opioid use is challenging for healthcare practitioners and patients because of concerns related to opioid crises, addiction and side effects. This review aimed to identify and synthesise the existing evidence related to adults' experiences of opioid use in postoperative pain management. Systematic scoping review of qualitative studies. Inductive content analysis and the Theoretical Domains Framework (TDF) were applied to analyse and report the findings and to identify unexplored gaps in the literature. Ovid MEDLINE, PsycInfo, Embase, CINAHL (EBSCO), Cochrane Library and Google Scholar. All qualitative and mixed-method studies, in English, that not only used a qualitative approach that explored adults' opinions or concerns about opioids and/or opioid reduction, and adults' experience related to opioid use for postoperative pain control, including satisfaction, but also aspects of overall quality of a person's life (physical, mental and social well being). Ten studies were included; nine were qualitative ( n = 9) and one used mixed methods. The studies were primarily conducted in Europe and North America. Concerns about opioid dependence, adverse effects, stigmatisation, gender roles, trust and shared decision-making between clinicians and patients appeared repeatedly throughout the studies. The TDF analysis showed that many peri-operative factors formed people's perceptions and experiences of opioids, driven by the following eight domains: Knowledge, Emotion, Beliefs about consequences, Beliefs about capabilities, Self-confidence, Environmental Context and Resources, Social influences and Decision Processes/Goals. Adults have diverse pain management goals, which can be categorised as proactive and positive goals, such as individualised pain management care, as well as avoidance goals, aimed at sidestepping issues such as addiction and opioid-related side effects. It is desirable to understand the complexity of adults' experiences of pain management especially with opioid use and to support adults in achieving their pain management goals by implementing an individualised approach, effective communication and patient-clinician relationships. However, there is a dearth of studies that examine patients' experiences of postoperative opioid use and their involvement in opioid usage decision-making. A summary is provided regarding adults' experiences of peri-operative opioid use, which may inform future researchers, healthcare providers and guideline development by considering these factors when improving patient care and experiences.

Characterization of oxytocin and vasopressin receptors in the Southern giant pouched rat and comparison to other rodents.

Vasopressin and oxytocin are well known and evolutionarily ancient modulators of social behavior. The distribution and relative densities of vasopressin and oxytocin receptors are known to modulate the sensitivity to these signaling molecules. Comparative work is needed to determine which neural networks have been conserved and modified over evolutionary time, and which social behaviors are commonly modulated by nonapeptide signaling. To this end, we used receptor autoradiography to determine the distribution of vasopressin 1a and oxytocin receptors in the Southern giant pouched rat (Cricetomys ansorgei) brain, and to assess the relative densities of these receptors in specific brain regions. We then compared the relative receptor pattern to 23 other species of rodents using a multivariate ANOVA. Pouched rat receptor patterns were strikingly similar to hamsters and voles overall, despite the variation in social organization among species. Uniquely, the pouched rat had dense vasopressin 1a receptor binding in the caudate-putamen (i.e., striatum), an area that might impact affiliative behavior in this species. In contrast, the pouched rat had relatively little oxytocin receptor binding in much of the anterior forebrain. Notably, however, oxytocin receptor binding demonstrated extremely dense binding in the bed nucleus of the stria terminalis, which is associated with the modulation of several social behaviors and a central hub of the social decision-making network. Examination of the nonapeptide system has the potential to reveal insights into species-specific behaviors and general themes in the modulation of social behavior.

Post-play communication of emotions facilitates prosociality and cooperation

Social decisions with monetary consequences are often accompanied with emotional consequences. Previous studies document a robust role of pre-play message communication in facilitating pro-sociality and cooperation. Yet, the effects of communicating emotional experiences in social interactions (particularly post-play) remain understudied. Here, we examine the value of a social environment where emotional expressions are shared post-play in contrast to a private environment where emotion exposure is absent. We develop an experimental design that facilitates emotion exposure and can be readily administered in or outside the laboratory. In this pre-registered online study, participants (N = 196) completed incentivized extensions of the Dictator Game (DG) and the Prisoners' Dilemma Game (PD). Participants learned to classify their emotional experiences on the arousal, valence, and dominance dimensions using non-verbal pictorial representations. Our experiment comprised both a within-subject and a between-subject manipulation: each participant completed a control condition (C, no emotional exposure) as well as an emotion exposure condition (Emotions), but the type of exposure varied between subjects (certain exposure, or Emotions-E, or probabilistic exposure, or Emotions-P). In all conditions, participants complete a one-shot DG and PD. We find that emotion exposure increases other-regarding behavior under both Emotions-E and Emotion-P conditions in the DG and under Emotions-E only in PD. Further, we find that demand for emotion exposure is hardly driven by the outcome of the social interaction (or the actions selected). We also document how empathic concern influence other-regarding behavior and how reports of emotional experiences vary across treatments and with the different outcomes of social interactions. Our results highlight the integral role of emotion exposure in social decision making. Environments that facilitate the communication of emotional experiences increase pro-sociality and encourage cooperation.

Phenotypical divergence between self-reported and clinically ascertained autism.

While allowing for rapid recruitment of large samples, online psychiatric and neurodevelopmental research relies heavily on participants' self-report of neuropsychiatric symptoms, foregoing the rigorous clinical characterization of laboratory settings. Autism spectrum disorder (ASD) research is one example where the clinical validity of such an approach remains elusive. Here, we compared participants characterized online via self-reports against in-person participants evaluated by clinicians. Despite having comparable self-reported autism symptoms, the online high-trait group reported significantly more social anxiety and avoidant behavior than in-person ASD subjects. Within the in-person sample, there was no relationship between self-rated and clinician-rated autism symptoms, suggesting these approaches may capture different aspects of ASD. The online high-trait and in-person ASD participants also differed in their behavior in well-validated social decision-making tasks: the in-person group perceived having less social control and acted less affiliative towards virtual characters. Our study aimed to draw comparisons at three levels: methodological platform (online versus in-person), symptom measurement (self- versus clinician-report), and social behavior. We identified a lack of agreement between self- and clinician-rated measures of symptoms and divergent social tendencies in groups ascertained by each method, highlighting the need for differentiation between in-person versus online samples in autism research.

The dual-process approach to human sociality: Meta-analytic evidence for a theory of internalized heuristics for self-preservation.

[Correction Notice: An Erratum for this article was reported in Vol 126(5) of Journal of Personality and Social Psychology (see record 2025-05381-001). The last entry in the Roch et al. (2000) row in Table 3 should appear instead as load decreases taking. All versions of this article have been corrected.] Which social decisions are influenced by intuitive processes? Which by deliberative processes? The dual-process approach to human sociality has emerged in the last decades as a vibrant and exciting area of research. Yet a perspective that integrates empirical and theoretical work is lacking. This review and meta-analysis synthesizes the existing literature on the cognitive basis of cooperation, altruism, truth telling, positive and negative reciprocity, and deontology and develops a framework that organizes the experimental regularities. The meta-analytic results suggest that intuition favors a set of heuristics that are related to the instinct for self-preservation: people avoid being harmed, avoid harming others (especially when there is a risk of harm to themselves), and are averse to disadvantageous inequalities. Finally, this article highlights some key research questions to further advance our understanding of the cognitive foundations of human sociality. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Strategies and Interventions to Support Quality Outcomes in the Home Care Setting: A Longitudinal Multilevel Study.

The relationship between the practice environment, empowerment, and outcomes such as quality of care, job satisfaction, and intent to stay has been extensively studied in healthcare settings, including hospitals and long-term care facilities. Research consistently demonstrates that a positive practice environment, characterized by supportive leadership, adequate resources, and opportunities for professional growth, are associated with better quality of care, increased job satisfaction, and higher intent to stay among healthcare professionals. Limited knowledge exists regarding the specific relationship between the practice environment, empowerment, and these outcomes within home care organizations. This study assesses the impact of strategies on nurse practice environment, social capital, decision latitude, workload, care quality, job satisfaction, and retention in a Belgian home healthcare organization. A longitudinal survey was conducted in a home healthcare organization, with data collected at 3 time points: baseline (T1) (2015), T2 (2018), and T3 (2021). In T3, respondents reported significantly higher scores for departmental and general management compared with T1. The interventions led to significant improvements in social capital and decision latitude. Self-reported quality of care at the department level showed a significant increase, whereas no significant change was observed for quality of care during the last round. The implementation of strategies and interventions as part of a broader healthcare transformation process had a positive impact. Improvements were observed in nurse-reported quality of care, job satisfaction, and intent to stay in nursing. These findings emphasize the effectiveness of the implemented measures in enhancing nursing practice and creating a positive work environment. Continuous efforts to implement and evaluate such strategies are essential for enhancing the satisfaction and retention of nursing teams within healthcare organizations.

Impact of the gut microbiome composition on social decision-making.

There is increasing evidence for the role of the gut microbiome in the regulation of socio-affective behavior in animals and clinical conditions. However, whether and how the composition of the gut microbiome may influence social decision-making in health remains unknown. Here, we tested the causal effects of a 7-week synbiotic (vs. placebo) dietary intervention on altruistic social punishment behavior in an ultimatum game. Results showed that the intervention increased participants' willingness to forgo a monetary payoff when treated unfairly. This change in social decision-making was related to changes in fasting-state serum levels of the dopamine-precursor tyrosine proposing a potential mechanistic link along the gut-microbiota-brain-behavior axis. These results improve our understanding of the bidirectional role body-brain interactions play in social decision-making and why humans at times act "irrationally" according to standard economic theory.

The involvement of rTPJ in intention attribution during social decision making: A TMS study

The mini-Ultimatum Game (mini-UG) is a bargaining game used to assess the reactions of a responder to unfair offers made by a proposer under different intentionality conditions. Previous studies employing this task showed the activation of responders’ right temporoparietal junction (rTPJ), which could be related to its involvement in judgments of intentionality. To verify this hypothesis, in the present study we applied online transcranial magnetic stimulation (TMS) over the rTPJ in responders during the mini-UG, in which we manipulated intention attribution implicitly. A cover story was employed to induce participants to believe they were interacting with another agent. We expected that interfering with the rTPJ could affect the ability of responders to assume proposers’ perspective, producing higher rates of rejections of unfair offers when offers are perceived as independent from responders’ intentionality to inequality. Twenty-six healthy women voluntarily participated in the study. In the mini-UG, an unfair distribution of the proposer (8/2 offer) was pitted against one of three alternative offers: fair-alternative (5/5), no-alternative (8/2), hyperfair-alternative (2/8). During the task, a train of TMS pulses was delivered at proposers’ offer presentation in blocks of active (rTPJ) or control (Vertex) stimulation according to an ABAB design. As expected, findings showed that rejection of the no-alternative offers was higher under TMS stimulation of the rTPJ compared with the control TMS. This effect was modulated by the degree of trustworthiness in the cover story. These data contribute defining the mechanisms and brain areas underpinning social decision making as assessed by bargaining tasks.

A quality function deployment model by social network and group decision making: Application to product design of e-commerce platforms

Quality function deployment (QFD) is an effective method to convert customer requirements (CRs) into design requirements (DRs) by constructing house of quality (HOQ). With the rapid growth of the e-commerce market, it is a new challenge to utilize the available online reviews to facilitate the implementation of QFD. Therefore, this paper proposes a novel QFD model from the perspective of group decision making (GDM) and social network analysis (SNA), then applies the proposed model to product design under Chinese e-commerce scene. Firstly, this paper extracts CRs from online reviews on e-commerce platforms, and the initial HOQs can be constructed. Then a bilateral negotiation GDM method based on SNA is carried out to generate a consensus-based HOQ, and therefore the final priorities of DRs can be obtained. Finally, a case study is provided to illustrate the applicability, and some discussions and comparative analysis are also conducted. The result indicates that the proposed method can generate effective and stable results for QFD implementation in real-world e-commerce scenario.

Analysis of factors affecting purchase decision on freshwater ornamental fish (Case Study: Bandung Ornamental Fish Center, Bandung City, West Java)

Bandung Ornamental Fish Center is one of the freshwater ornamental fish markets in Bandung City. Since its inauguration in 2020, Sentra Ikan Hias Bandung has experienced a decrease in the number of sellers due to the consumer interest on freshwater ornamental fish. This research aims to analyze the consumer characteristics and the factors of consumer behavior and marketing mix (4P) that influence consumer purchasing decisions for freshwater ornamental fish at the Bandung Ornamental Fish Center. This research was conducted from 19 December 2022 to 19 January 2023. The method used in this research is a case study using descriptive analysis for consumer characteristic and statistical inferential methods using PLS-SEM to analyze the factor affecting purchase decision on freshwater ornamental fish. The data collection technique used in this research is a questionnaire and interview. Data analysis in this reaserch uses the PLS-SEM analysis method with a five-point Likert scale using SmartPLS 3 software with nine variables con-sist of personal, psychology, social, culture, price, product, pro-motion, place and purchase decision that listed in Table 1. The analysis results showed that the factors influencing purchase decision of a freshwater ornamental fish at the Bandung Ornamental Fish Center were psychological, social and promotional factors. Researchers suggest the marketers carry out promotions related to consumer psychological and social factors to attract consumer interest.Keywords: Consumer behavior; factor analysis; freshwater ornamental fish; marketing mix; purchase decision; PLS-SEM

A Hybrid Fuzzy Approach of Similarity-Influence-Network and DEMATEL: Visualization and Analysis

The Social Influence Group Decision Making (SIGDM) entails intricate intra- and interpersonal exchanges among a group of experts as they endeavor to persuade others toward reaching a mutually agreed-upon solution. However, prevailing SIGDM approaches often overlook the critical aspect of visualizing criteria interdependencies. This visual representation becomes crucial as it provides supplementary insights into analyzing the significance of criteria and their impacts within decision-making processes. In order to address the oversight of neglecting criteria interdependent relationships, we extend the similarity-influence-network algorithm by integrating a cause-effect visualization procedure inspired by the DEMATEL approach. Additionally, we introduce several supplementary steps to enhance the efficacy of existing methodologies. The proposed model not only fills a gap in the current methodology but also provides accuracy of influence representation by incorporating influence-based collective preferences. This hybrid approach stands as a valuable alternative decision-making tool, providing a comparative analysis of the related existing approaches.