Social Decision Research Articles

Costos en la gestión ambiental: camino necesario a la sostenibilidad

Around the world, the importance of preserving the natural environment has been recognized, which has led to an increase in the expectations of various stakeholders involved. This process has driven the orientation that prioritizes sustainability. In this situation, the objective of this article is to promote environmental accounting as a necessary tool for environmental management, both in the business environment and on a global scale. The study consists of an exhaustive systematic review with a qualitative approach at a descriptive level through the review of scientific articles, consulted in databases such as: Scopus, Google academic, Scielo, Mendeley, among others. It is concluded that environmental management together with environmental accounting as a necessary tool to achieve sustainable development benefit society, the environment and the company in terms of promoting sustainability, corporate social responsibility, decision making, efficiency and competitive advantage.

Consensus decision making on a complete graph: complex behaviour from simple assumptions

In this paper we investigate a model of consensus decision making [Hartnett A. T., et al., Phys. Rev. Lett., 2016, 116, 038701] following a statistical physics approach presented in [Sarkanych P., et al., Phys. Biol., 2023, 20, 045005]. Within this approach, the temperature serves as a measure of fluctuations, not considered before in the original model. Here, we discuss the model on a complete graph. The main goal of this paper is to show that an analytical description may lead to a very rich phase behaviour, which is usually not expected for a complete graph. However, the variety of individual agent (spin) features - their inhomogeneity and bias strength - taken into account by the model leads to rather non-trivial collective effects. We show that the latter may emerge in a form of continuous or abrupt phase transitions sometimes accompanied by re-entrant and order-parameter flipping behaviour. In turn, this may lead to appealing interpretations in terms of social decision making. We support analytical predictions by numerical simulation. Moreover, while analytical calculations are performed within an equilibrium statistical physics formalism, the numerical simulations add yet another dynamical feature - local non-linearity or conformity of the individual to the opinion of its surroundings. This feature appears to have a strong impact both on the way in which an equilibrium state is approached as well as on its characteristics.

Patterns of Use and Withdrawal Syndrome in Dual Cannabis and Tobacco Users (DuCATA_GAM-CAT): Protocol for a Mixed Methods Study.

Approximately 1 in 6 cannabis users develop a cannabis use disorder (CUD) and the odds increase to 1 in 2 for daily users. The Dual use of Cannabis and Tobacco Monitoreing through a Gamified Web app (DuCATA_GAM-CaT) project aims to identify cannabis-tobacco patterns of use and withdrawal symptoms among individuals with CUD who are attending substance abuse programs. The project uses a mixed methods approach consisting of 3 studies. First, a participatory qualitative study involves focus groups comprising individuals with CUD, clinicians, project researchers, and an expert gamification company to co-design a gamified web app. Second, a longitudinal prospective study to follow up individuals over 6 weeks with CUD attending substance abuse programs . Participants report their cannabis-tobacco usage patterns, type and frequency of tobacco use, nicotine dependence, withdrawal symptoms, psychoemotional factors, and motivation to quit both substances. Predictive analysis techniques are used to analyze clinical, demographic, psychological, and environmental data to predict the probability of achieving abstinence. Third, homogeneous focus groups to explore participants' experiences during their CUD treatment. By June 2024, the project had completed the first study, defining eligible cannabis user profiles, developed the initial web app prototype, and initiated recruitment across 10 centers, with 74 participants enrolled, aiming to reach 150 participants in total. All participants are required to provide informed consent, and their information is kept confidential and anonymized following confidentiality rules. The research team is committed to disseminating the results obtained to professional and patient groups, as well as informing public health agents, to positively influence political and social decision makers and design programmers. Additionally, we aim to prioritize the publication of the results in high-impact journals specialized in drug abuse, public health, and health care services research. ClinicalTrials.gov NCT05512091; https://clinicaltrials.gov/study/NCT05512091. DERR1-10.2196/58335.

Study on Assessing the Evolution of Nutritional Choices through Social Media Influence

Social media-related nutritional decisions influencers and commercial postings on social media have a significant impact on people's eating habits, purchasing decisions, and decisions about food in general. It also shapes people's dietary practices and overall nutrition. Investigating dietary habits through social media can be disadvantageous to the potential for biased or inaccurate information, as sensational content can lead to unreliable nutritional advice. The 160 participants' nutritional choices using social media influence data are collected, and random questionnaires are collected. There are some factors depicted in this study that are social media engagement, perceived credibility of nutrition information, influence of social media on food choices, and change in eating habits. The study utilized SPSS-29 for statistical analysis, descriptive statistics, multivariate regression, correlation analysis, and Mann-Whitney U test and Spearman's rank correlation coefficient were used to determine statistical significance. Social media use and food choices are found to be significantly correlated, with more credibility impacting consumption patterns. The most important effect of social media on eating decisions is revealed by multivariate regression. The study interaction with social media significantly influences dietary decisions, affecting credibility perceptions and highlighting the need for rigorous assessment of online nutritional information, as influence often leads to dietary modifications.

Social exploration: How and why people seek new connections.

Just as animals forage for food, humans forage for social connections. People often face a decision between exploring new relationships versus deepening existing ones. This trade-off, known in optimal foraging theory as the exploration-exploitation trade-off, is featured prominently in other disciplines such as animal foraging, learning, and organizational behavior. Many of the framework's principles can be applied to humans' choices about their social resources, which we call social exploration/exploitation. Using known principles in the domain of social exploration/exploitation can help social psychologists better understand how and why people choose their relationships, which ultimately affect their health and well-being. In this article, we discuss the costs and benefits of social exploration and social exploitation. We then synthesize known person- and situation-level predictors of social decision making, reframing them in the language of the explore-exploit trade-off. We propose that people explore more when they find it more rewarding and less costly, and when the environment has many opportunities to do so. We conclude by discussing hypotheses generated by applying optimal foraging theory to social decision making. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Decision-Making with Predictions of Others' Likely and Unlikely Choices in the Human Brain.

For better decisions in social interactions, humans often must understand the thinking of others and predict their actions. Since such predictions are uncertain, multiple predictions may be necessary for better decision-making. However, the neural processes and computations underlying such social decision-making remain unclear. We investigated this issue by developing a behavioral paradigm and performing functional magnetic resonance imaging and computational modeling. In our task, female and male participants were required to predict others' choices in order to make their own value-based decisions, as the outcome depended on others' choices. Results showed, to make choices, the participants mostly relied on a value difference (primary) generated from the case where others would make a likely choice, but sometimes they additionally used another value difference (secondary) from the opposite case where others make an unlikely choice. We found that the activations in the posterior cingulate cortex (PCC) correlated with the primary difference while the activations in the right dorsolateral prefrontal cortex (rdlPFC) correlated with the secondary difference. Analysis of neural coupling and temporal dynamics suggested a three-step processing network, beginning with the left amygdala signals for predictions of others' choices. Modulated by these signals, the PCC and rdlPFC reflect the respective value differences for self-decisions. Finally, the medial prefrontal cortex integrated these decision signals for a final decision. Our findings elucidate the neural process of constructing value-based decisions by predicting others and illuminate their key variables with social modulations, providing insight into the differential functional roles of these brain regions in this process.

What can I do as a farmer to reduce losses? Willingness to use meteorological information as an exit strategy to deal with meteorological hazards

Meteorological information and forecasts are of great importance to reduce agro-meteorological hazards. However, the gap between production and application of these forecasts is one of the most ambiguous issues of crop management at the farmers’ level. In this regard, investigating the factors influencing Iranian farmers willingness to use meteorological information and predictions was selected as the main aim of the present study. To this end, an extended version of Theory of Planned Behavior (TPB) was employed and modeled. The results revealed that attitude towards the use of meteorological information and predictions, subjective norms in the use of meteorological information and predictions, perceived behavioral control and self-identity in the use of meteorological information and prediction, and moral norm variables regarding the use of meteorological information and predictions positively and significantly affected willingness to use meteorological information and predictions. These variables could account for 46% of willingness to use meteorological information and predictions variance. According to the results, it was suggested that by creating multimedia programs, the agricultural community become aware of the benefits and consequences of using meteorological information in their activities. Furthermore, it was recommended that social cooperation and research groups be formed on the use of meteorological information in agricultural activities. This can contribute to examine the various dimensions (strengths, weaknesses, threats, and opportunities) of using meteorological information from a collective perspective. Making a social decision in this regard can have a profound effect on a person’s subjective norms and dramatically increase the speed of using meteorological information. The results of this study can help policymakers and decision-makers in the field of agriculture to design suitable intervention programs for the effective use of meteorological information by farmers. Also, the results of this study help farmers to effectively reduce the impacts of meteorological hazards.

Social decision making in binge drinking: An exploration through moral dilemmas.

The continuum hypothesis proposes that binge drinking and severe alcohol use disorder (SAUD) share qualitatively similar cognitive and emotional impairments. In SAUD, these deficits have a demonstrated impact on social decision making, resulting in a utilitarian bias. Namely, when confronted with moral dilemmas, patients with SAUD tend to focus on the consequences of their actions rather than on social norms. However, social decision-making abilities remain unexplored in binge drinking. We offered the first insights on the generalization of the continuum hypothesis to social decision making, through a multinomial processing tree model applied to moral dilemmas, the "CNI model" of moral decision making. We compared 35 binge drinkers (20 females) and 36 light drinkers (21 females) on a battery of 48 moral dilemmas involving interpersonal relations from the CNI model, through multinomial modeling analyses. In each dilemma, participants were asked if they would perform the described action, generating individual scores for sensitivity to consequences, sensitivity to norms, and inaction tendency. The statistical model related to the CNI approach fits the data well. Binge drinkers and controls did not differ regarding their sensitivity to consequences nor their sensitivity to moral norms, and both groups displayed an equal inaction tendency in response to moral dilemmas. We provided insights to better understand the specific (socio)cognitive domains impaired in subclinical populations with alcohol use disorder. We showed preserved social decision making in binge drinking, which suggests that the continuum hypothesis documented for classical neurocognitive functions does not extend to complex social abilities. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The welfare costs of misinformation

Social Security (SS) benefits, with an average replacement rate of around 40 percent, serve as an important source of retirement income for older Americans. Yet, the size of lifetime benefits a household receives depends on many factors, including the age of benefit claim and life-cycle labor supply decisions. Given the complexity of the associated rules, many households may lack understanding of one or more aspects of the system. In this work, we use a life-cycle model of consumption, savings, labor supply, and Social Security application decisions to study the welfare impact of such misinformation. Our findings indicate significant welfare losses stemming from misinformation, especially when it causes individuals to strongly over-estimate the value of future entitlements. Additionally, we show that the Social Security Statement program, a large public information campaign, must inform only 20.1 percent of misinformed individuals in order for aggregate benefits of information to outweigh aggregate costs.

Promoting emotion understanding in middle childhood: A systematic review of school-based SEL programs

Emotion understanding (EU) describes the ability to identify, interpret, and communicate about emotions, and is often targeted by social-emotional learning (SEL) programs. Still, the theoretical framing of SEL programs and their impact on specific areas of social-emotional development, such as EU, for different age bands is not always transparent. This systematic review synthesized emotion-focused content in SEL programs used in quantitative outcome studies in middle childhood to identify which EU components are targeted and examine content congruence with an integrated EU development model drawing on the Pons EU developmental model and the Crick and Dodge social-information processing (SIP) model that posits emotion identification as fundamental to social decision-making in childhood. A total of 38 programs for Grades 3 to 5 across 54 studies in 20 countries were reviewed. Program aims, lesson topics, and activities were extracted and mapped to a 10-component EU framework integrating the nine Pons model components (‘recognition, external cause, reminder, desire, belief, hiding, regulation, mixed, morality’) with one based on the SIP model (‘decision/action’). At least 87% of emotion-focused SEL content targeted EU components of recognition, regulation, and social decision-making. Findings indicate a good level of congruence between emotion-focused SEL program content and prevailing EU development models. Many programs emphasized the external causes of emotions, underscoring the importance of scenarios to explain emotions—discussed further in light of cross-cultural variation in emotion socialization. We encourage SEL intervention research to be more transparent in reporting SEL program content and activities to move toward causal explanations of program impact.

High-risk, Critical Decision-making under Time Pressure: Some Parallels and Learning from Split-second Choices Made in Extreme Adventure Sports

In a world beset with crises, everyone from professional manager down to the layman is keen to understand how to make quick decisions under emerging disruptive situations. This article, employing self-reflective analysis of critical incidents, describes the author’s personal experiences from the field of adventure sports categorised as high-risk, critical decisions, involving split-second choices—while sky-diving and flying—to trace the mental cognitive processes from a decision maker’s perspective. This is used to discuss and establish a practitioners’ operational framework for high-risk, critical decision scenarios, drawing upon established theories and frameworks from cognitive, social and psychological decision research.

The effects of psychosocial stress on social and nonsocial decision making: A systematic review and meta-analysis.

The effects of psychosocial stress on social and nonsocial decision making: A systematic review and meta-analysis.

Enhancing Social Decision-Making of Autonomous Vehicles: A Mixed-Strategy Game Approach With Interaction Orientation Identification

Enhancing Social Decision-Making of Autonomous Vehicles: A Mixed-Strategy Game Approach With Interaction Orientation Identification

Enhanced minimum cost consensus model for interval type-2 fuzzy social network group decision making focusing on individual attributes and group attitude

In group decision-making scenarios, consensus reaching is a crucial factor for resolving conflicts of opinion among groups, and social network analysis plays a significant role in fostering group consensus. This paper constructs a social network-driven minimum cost consensus framework for interval type-2 fuzzy group decision-making problems involving different individual attributes. Firstly, this paper proposes a theoretical social network analysis by the implementation of propagation efficiency, propagation reliability and opinion similarity to generate comprehensive trust relationships. The aim is to obtain missing trust relationships and individual centrality. Secondly, a minimum cost consensus model is constructed to give recommendation advice for identified inconsistent decision-makers according to their adjustment willingness. The novelty of the model lies in its capability to consider decision-makers’ individual attributes and group attitude or behavior. Then, this paper proposes an interval type-2 fuzzy Alternative by Alternative Comparison (ABAC) method for ranking multiple alternatives which address the rank reversal problem. Lastly, a case study on the selection of alternative charging point operators illustrates the effectiveness of the proposed method, and comparison and sensitivity analysis show the advantages of the proposed method.

Foreword for the Collection of Papers from the Workshop on the Analysis of Census Noisy Measurement Files and Differential Privacy

The 2022 Workshop on the Analysis of Census Noisy Measurement Files and Differential Privacy brought together research experts from many domains of social sciences, demography, public policy, statistics, and computer science to address key challenges in the use of the differentially private Census noisy measurement files to support social research and policy decisions.

Consumer decision‐making in cosmetic surgery: An interdisciplinary review identifying key challenges and implications for marketing theory

AbstractConsumer interest in cosmetic surgery has grown tremendously in recent years. However, despite the long‐lasting implications of cosmetic surgery decisions on consumer well‐being, existing insights on these decisions remain limited and scattered across various fields. Through an interdisciplinary bibliometric review, we identify that previous research has primarily focused on five aspects shaping consumers' decisions in cosmetic surgery: (1) differing perspectives, (2) social drivers, (3) individual drivers, (4) online media content, and (5) influences relevant to labiaplasty. These investigations stem from the fields of psychology, sociology, communication, and healthcare and aim to understand especially consumer intentions to undergo surgery at the pre‐consumption stage. In this research, we delineate how marketing researchers can advance insights along the entire consumer surgery journey (i.e., pre‐consumption, consumption, and post‐consumption stage) through a better understanding of (i) the phenomenon and its different treatments, (ii) the role of identity, (iii) stakeholder interactions, and (iv) how social media and technology shape cosmetic surgery decisions. Finally, we highlight how studying these topics can contribute to marketing theory through novel insights on the self and identity, the body's meaning in consumption, and self‐enhancement practices.

Modeling consistency and consensus in social network group decision making: The role of limited dual tolerance and compromise behaviors

In interactive social network group decision making (SNGDM), decision-makers frequently consider both their own preferences and the preferences of trusted members when adjusting preferences. This dual consideration results in the formation of limited dual tolerance and compromise behaviors, as reflected in the cost and willingness of decision-makers to adjust their preferences. This paper investigates the role of limited dual tolerance and compromise behaviors in the consistency and consensus management in SNGDM with additive preference relations. First, this paper introduces the concepts of limited dual tolerance and compromise behaviors. Then, this paper presents an optimization-based model, tailored to manage consistency and consensus in the interactive SNGDM. This model takes into account the two behaviors mentioned, with the goal of assisting decision-makers in adjusting their preferences to achieve consistency and consensus while minimizing associated costs. Given that limited dual compromise behavior may impede decision-makers from achieving consistency and consensus, this paper designs a model to help decision-makers adjust their dual compromise values. Further, this paper develops an interactive consistency and consensus management process with limited dual tolerance and compromise behaviors. Finally, an illustrative example involving sustainable supplier selection is applied, along with the simulation analysis and a discussion, to validate the effectiveness of the proposed framework.

Probability errors in children's judgements about the likelihood of social characteristics.

The studies reported here investigated mechanisms underlying children's tendency to commit the conjunction fallacy (judging that a conjunction of two events is more likely than one of the events in isolation) when judging people's characteristics. Study 1 investigated these errors in 4- and 5-year-olds (N = 58) using a newly developed social judgement task in which children judged whether a conjunction or one of its elements would apply to a protagonist. Children made conjunction fallacy errors at chance level. Study 2 (N = 71) replicated these findings using an adapted version of the task, in which children separately judged the likelihood of the conjunction and each of its events. Study 3 investigated age-related changes in conjunction fallacy errors in a sample of 148 children aged 4 to 11 years old and 130 adults. This study also investigated how providing background information on the protagonist influenced error rate. Unlike younger children, 10- and 11-year-olds committed the conjunction fallacy at chance level in the absence of background information, but providing information consistent with the likely component of the conjunction significantly increased their error rate. Adults' error rate also significantly increased after the introduction of background information. Across all three studies, conjunction fallacy errors were unrelated to cognitive and social-cognitive abilities, such as verbal ability, theory of mind, and inhibitory control (Studies 1 and 2), and prejudice and hindsight bias (Study 3). These findings suggest that it is only in the second decade of life that children use social information to inform their judgements about people and that social decision-making errors are not determined by core aspects of cognitive and social-cognitive development. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Child Maltreatment: To Report or Not to Report? It’s More Complex than That

Child maltreatment (CM) is a widespread problem, contributing to health and societal difficulties often throughout the lifespan. Healthcare professionals (HCPs) who see potential warning signs for CM are responsible for protecting the child from future harm, which may involve alerting the authorities. The decision-making is challenging as unwarranted reporting may lead to mistrust and not benefit the child. We sought to explore what factors might influence HCPs’ decisions to report suspected CM in a Norwegian sample. Using a cross-sectional survey among HCPs in Norwegian hospitals with pediatric wards, we presented five case vignettes describing different probabilities of CM and variables assessing experience, knowledge, and confidence. A total of 382 HCPs completed the survey. Despite recognizing warning signs for CM in the case vignettes, a large proportion were reluctant to report to authorities. Recognition of CM and expressed willingness to report four or all five of the case vignettes (high reporters) was associated with the profession, knowledge, experience, and confidence in handling CM cases. Expressed confidence in performing physical examinations for physical or sexual abuse and talking with parents about abuse was significantly associated with high reporting (OR 2.3 to 17.8). Qualitative data further supported the role of self-efficacy. In summary, reporting to the authorities is an important but complex aspect in cases of suspected CM, but many HCPs relate that they fail to do so. This study indicates reporting suspicion of CM is correlated with self-efficacy and knowledge among HCPs, which should inform educational, social, and policy decisions.

Applied qualitative methods for social life cycle assessment: a case study of Canadian beef

PurposeThis paper presents a transparent and rigorous methodological approach to conducting a case study of social performance (SP) within the conventional life cycle of Canadian beef. The objective was to explore the potential benefits and risks (or hotspots) of practices on Canadian beef farm businesses (BFBs) and slaughter operations (BSOs) to establish valid benchmarks and a social sustainability roadmap for decision-makers to improve SP.MethodsThis study undertook a novel and participatory approach to social life cycle assessment (S-LCA). Respondents from both within and at-arms-length to the beef value chain were engaged to identify SP practices and perceptions and develop the life cycle inventory. The goal and scope, inventory, assessment, and interpretation were conducted in a three-phased approach: (i) scoping; (ii) practice-based assessment; and (iii) deep-dive assessment. Data collected through mixed methods, including Q method, interviews, surveys, and literature review, were assessed using a type I (reference scale) approach and interpreted through critical interpretive synthesis. Organizational SP was explored at BFBs and BSOs, considering the following stakeholders: value chain actors, farmers, employees, and cattle.Results and discussionOutcomes from the applied approach explore the interrelations between organizations and stakeholders along the value chain. Impact categories concerning labour management, people’s health and safety, and animal care were prioritized for deep-dive assessment. Subcategories included novel topics, like recruitment and retention and access to mental health resources. A range of potential benefits and areas for improving SP were identified at BFBs and BSOs. Potential risks from SP were identified for stakeholders from working hours, communication and dispute resolution, animal transport, and personal protective equipment practice areas. Results informed strategic activities for the National Beef Sustainability Strategy.ConclusionThis study contributes to the social sustainability discourse in livestock systems by demonstrating a qualitative approach to S-LCA that can be replicated by practitioners to explore valid and locally specific social dimensions of sustainability. Practitioners may consider the approach and results in future studies to better capture and manage the complex and dynamic nature of livestock systems, leading to more effective social sustainability decisions that incorporate diverse stakeholder perspectives.