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Drawing upon regulatory fit theory, the current work investigates how the interaction between regulatory mode and positive emotion influences consumer social media engagement with meat alternative advertisements. Social media data (N = 966) are employed to explore the interaction between regulatory mode (from the text) and positive emotion (expressed via emoji) on sharing (Study 1). Three experimental studies (N = 1,359) were subsequently conducted in the context of Facebook advertising to provide causal evidence. Each study employed different emotion manipulations (emoji in Study 2, emotion recall in Study 3, and image in Study 4). Click-through rates (in Studies 2 and 4), together with intentions to click (in Study 3), were examined as dependent variables. The findings establish that the fit effect between (a) locomotion messages and love and (b) assessment messages and awe enhance social media engagement. The mechanism driving the effect is the experience of "feeling right" arising from the fit between regulatory mode and positive emotion. The findings from this research offer valuable insights to managers involved in crafting effective social media advertising strategies with the goal of promoting meat alternatives. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to critique current women-only coach education initiatives, before suggesting an alternative approach to dealing with gender discrimination in coaching provision. Having increased in popularity over recent years, primarily through justifications as being "safe spaces" for participants, such initiatives have nevertheless become contested terrain. Whilst seeing some value in the initial "safe space" position, we argue that their substance should be focussed not so much on duplicating mainstream content (e.g., particular coaching pedagogies), but on developing a critical sociological consciousness, including both a deconstruction and reconstruction of (minority) coaching selves. Such a consciousness comprises (1) a judicious awareness of influencing social structures and why things are as they are and (2) a recourse to micropolitical agency in terms of a stance-related identity to develop a more secure coaching self. [ABSTRACT FROM AUTHOR]

Customer success (CS) management is being implemented across global business markets. CS management is unique, as it exists within a broader CS community of professionals who actively support the new customer management practice. However, academic research has yet to investigate nonfirm epistemic communities (i.e., knowledge communities related to a specific domain) that support CS management and how they differ across geographic settings in ways that may affect the overall practice of CS management. To address this gap, the authors investigate how the CS community is implemented across countries that vary in their levels of uncertainty avoidance. The authors focus on the CS community and its impact on CS management operational factors that represent people, process, and performance factors of CS management. Following a phenomenological approach, interviews from the United States, Brazil, and Portugal drive the findings and indicate different levels of reliance on the external CS community to guide internal CS management operational factors. This research contributes by establishing the importance of the CS community and by uncovering insights based on CS managers' perceptions of the CS community and its effect on CS management operational factors. The authors offer salient insights into how managers can optimize CS management operational factors, and they provide a discussion of future research topics. [ABSTRACT FROM AUTHOR]

Online crowdfunding has become an important fundraising channel for medical care. Yet, individuals in need face numerous challenges in meeting their fundraising goals. To improve fundraising, individuals may use project updates to evoke donors' sympathy and secure donations. Informed by the sympathy bias literature, this paper conceptualizes two important but distinct aspects of project updates—positive sentiment and negative sentiment—and hypothesizes their individual and relative impacts on the donation amount of a crowdfunding project. In addition, this paper explores moderating effects of social endorsements on the influence of update sentiment. To test our hypotheses, we conducted two studies. Study 1 examined unique project-day panel data from 1,467 projects on a leading medical crowdfunding platform. Results reveal that both positive and negative update sentiment positively affect the donation amount of a crowdfunding project, but negative updates have a greater effect. Further, endorsements by strong ties and weak ties attenuate the positive effects of update sentiment. Study 2 was a controlled, randomized experiment that corroborated findings from Study 1, established the causality of observed effects, and confirmed the mediating effects of sympathy. The findings of this paper underscore the role of sympathy in enhancing online charitable crowdfunding to individual donors and show project updates with positive or negative sentiment to be potent mechanisms to boost donations. Furthermore, the substitution effect of social endorsement on donation amount also adds nuance to our knowledge suggesting that a proper combination of various information can better help improve crowdfunding performance. Platform operators and fundraisers should prioritize project update sentiment to enhance online charitable crowdfunding success. [ABSTRACT FROM AUTHOR]

The purpose of the current research was to examine the interaction of teammate and coach support on athlete burnout and engagement, and determine how type of teammate and coach support links with athlete burnout and engagement. Adolescent athletes (N = 176) completed measures of support, burnout, and engagement. Total teammate and coach support accounted for 14.9%–26.0% and 22.4%–36.7% explained variance across dimensions of burnout and engagement, respectively. No meaningful significant interaction was found. Teammate esteem support predicted reduced accomplishment, devaluation, confidence, and vigor (β = −0.31, −0.36, 0.28, and 0.28), while emotional and tangible support predicted dedication (β = 0.29 and 0.20) and enthusiasm (β = 0.30 and 0.22). Coach esteem support predicted reduced accomplishment (β = −0.59) and devaluation (β = −0.27). Findings suggest that support from one key agent can enhance youth athlete well-being, but types of support provided by agents differ in salience. [ABSTRACT FROM AUTHOR]

Antidoping policy regulates and punishes the use of substances that are listed on a Prohibited List (PL). These substances are colloquially known as 'performance-enhancing substances'. There is very little empirical evidence of enhancement for most of the substances on the PL raising the possibility that the perceived enhancement of performance experienced by an athlete is a placebo effect. A placebo effect is a response to an inert substance that is strongly influenced by psychological and social cues in the surrounding environment. It is our contention that, given the lack of proper empirical testing of the substances on the PL, it is in fact the appearance of a substance on the PL that has the strongest performance-enhancing effect in elite athletes. This disconnect between science and WADA's code raises the question of what we really object to: real performance enhancement achieved using substances on the PL or performance enhancement that occurs because WADA has told us that the substance will enhance performance by placing it on the PL? In this case, antidoping policy would punish those who believe the performance-enhancing myth at the heart of the PL thus leading to a deeply flawed policy that creates its own victims. [ABSTRACT FROM AUTHOR]

Social technologies on online review platforms enable social interactions among users, such as establishing following relationships and commenting on others' posts. Although it is well recognized that more socially engaged reviewers tend to be more active and generate content of higher quality, our knowledge about the impact of social interactions on peer evaluations of reviews is limited. To address this issue, we use a unique dataset from a major online review platform and find that, ceteris paribus, reviews posted by more socially engaged users receive more helpfulness votes than those posted by less socially engaged users. Similarly, users tend to vote more for reviews written by their mutual followers than for those written by nonfollowers. In addition, we find that less socially engaged users review a broader range of products and services but are less likely to stay on a platform, which may further contribute to the inflation of peer evaluations (toward online reviews). Our study provides unique empirical evidence regarding the influence of social interactions on review evaluations. Furthermore, we caution researchers and practitioners against utilizing review helpfulness scores as a sole measure for review quality and diagnosticity. [ABSTRACT FROM AUTHOR]

Parenting motivation, the inspiration and drive to take care of one's children, is a powerful instinct for facilitating human reproduction. In a set of hypotheses, the authors address how, why, and among whom parenting motivation affects a pervasive decision-making tendency, namely, variety seeking. Six studies, including a large-scale panel data study and five online and lab studies, show that, when shopping, parenting motivation spurs feelings of time crunch that result in less variety seeking among consumers. The effect is diminished when time-saving parenting support exists (which reduces feelings of time crunch in parenting), when consumers are led to believe that they have sufficient time available for shopping, and when they do not have much loyalty to any brand offered in the choice set and thus cannot save time by simply choosing the top-of-mind product option. The current research thus contributes to the growing literature on how parenting motivation affects consumer decision making. In addition, it augments the literature on variety seeking by identifying an important factor that can influence it. [ABSTRACT FROM AUTHOR]

Every day, we learn about others' decisions from various sources. We perceive some of these decisions as choices and others as rejections. Does the mere perception of another's decision as a choice versus as a rejection influence our own behavior? Are we more likely to conform to another's decision if we view it in one way or the other? The current research investigates the social influence of decision frames. Eight studies, including a field study conducted during a livestreaming event hosted by an influencer with over 1.5 million followers, find that people are more likely to conform to another's decision if it is perceived as a rejection than if it is perceived as a choice. This effect happens because consumers are more likely to attribute another's decision to product quality as opposed to personal preference, when consumers perceive another's decision as a rejection than as a choice. The inference about quality versus personal preference in turn increases conformity. This research bridges the existing literatures on decision framing, social influence, and perceptions of quality and personal preference, and it offers important implications for marketers and influencers. [ABSTRACT FROM AUTHOR]

Individual demand for emerging technologies can be influenced by the demand of other individuals within defined peer groups. These so-called peer effects have been demonstrated in emerging clean energy technologies such as rooftop solar. To date, peer effects have disproportionately driven solar adoption among relatively affluent households. Here, we use household-level income estimates of rooftop solar adopters to explore how peer effects drive adoption for low-income households. We find evidence of peer effects for both high- and low-income households and find that peer effects are generally stronger within than across income groups. Our results indicate that peer effects translate to adoption less frequently among low-income households. These results suggest that low-income peer effects are mitigated by barriers to low-income adoption. Heterogeneous peer influence is another demand shifter that explains the inequitable adoption of emerging technologies.

As jobs become increasingly unstable and contingent and employees are increasingly geographically separated and likely to communicate via technology, employees may find it more difficult to feel connected with one another and to navigate work interactions. We theorize that, given such circumstances, employees are likely to engage in work-related imagined interactions, mental simulations of interactions with work-related others. Drawing on a core social motives framework, we propose two primary types of work-related imagined interactions: those aimed at helping employees feel more connected with others (i.e., imagined interactions concerning socio-emotional goals) and those aimed at helping employees gain confidence to influence others (i.e., imagined interactions concerning socio-instrumental goals). We explicate the conditions that motivate employees to engage in each type of imagined interaction and examine the content of these imaginings, explaining with whom they imagine interacting, what the imagined interaction is like, and when the imagined interaction occurs. Our theorizing sheds light on employees' intrapersonal relational landscape of work. In doing so, we contribute to the management literatures on relationships and social cognition and to the literature on imagined interactions. We conclude by highlighting important implications for both managers and employees. [ABSTRACT FROM AUTHOR]

Shared coupons, a new form of coupon, differ from coupons distributed directly from businesses (i.e., direct coupons) in that shared coupons combine two influential components: economic savings (e.g., $5 off) and social sharing (e.g., from friends). Using two lab experiments and two large-scale field experiments on social media, the authors find that regular shared coupons underperform direct coupons in terms of coupon redemption because of the norm conflict between economic incentives and communal relationships (i.e., friendships), whereas shared coupons with experience cocreation, in which coupon givers and coupon receivers must invest joint efforts to create a shared experience before redeeming the coupons, outperform direct coupons. Experience cocreation can advance social goals (e.g., building friendships), reduce the norm conflict, and thereby make customers more likely to share and to redeem coupons. The authors further investigate the effects of two strategies for driving the redemption of shared coupons with experience cocreation: changing the coupon's face value (low vs. high) and using ex post communication (social messages vs. economic messages). They find that social messages can make low-value coupons as effective as high-value coupons, thereby enabling the firm to "do more with less." [ABSTRACT FROM AUTHOR]

AbstractBackground: Production and use of no- and low-alcohol (NoLo) beverages has increased globally in recent years. Using data from a large international sample of people who drink alcohol, this study aimed to investigate patterns of NoLo drink consumption. Methods: The study utilized data from the 2022 Global Drug Survey (GDS). We used cross-tabulation and multiple correspondence analysis to understand usage patterns and identify key groupings. Results: Of the 15,686 participants reporting NoLo use, most (59%) reported drinking NoLo products less than monthly. Frequent NoLo consumption was more prevalent in relaxed environments (92%) compared to team environments (27%) and party settings (49%), with a significant relationship between heavy alcohol drinking prevalence and increased likelihood of engaging in NoLo alcohol consumption. Conclusions: We uncovered nuanced preferences for NoLo drinks driven by cultural, consumption, and economic factors. Heavy alcohol drinking and an increased likelihood of NoLo consumption is suggestive of a growing acceptance of NoLo beverages as substitutes for alcoholic beverages perhaps, for example, as a response to avoiding experiences of embarrassment due to drunkenness in particular social settings. This suggests a need for further research into public health policies promoting NoLo options to mitigate alcohol-related problems. [ABSTRACT FROM AUTHOR]

Summary: Leaf phenology variations within plant communities shape community assemblages and influence ecosystem properties and services. However, questions remain regarding quantification, drivers, and productivity impacts of intra‐site leaf phenological diversity.With a 50‐ha subtropical forest plot in China's Heishiding Provincial Nature Reserve (part of the global ForestGEO network) as a testbed, we gathered a unique dataset combining ground‐derived abiotic (topography, soil) and biotic (taxonomic diversity, functional diversity, functional traits) factors. We investigated drivers underlying leaf phenological diversity extracted from high‐resolution PlanetScope data, and its influence on aboveground biomass (AGB) using structural equation modeling (SEM).Our results reveal considerable fine‐scale leaf phenological diversity across the subtropical forest landscape. This diversity is directly and indirectly influenced by abiotic and biotic factors (e.g. slope, soil, traits, taxonomic diversity; r2 = 0.43). While a notable bivariate relationship between AGB and leaf phenological diversity was identified (r = −0.24, P < 0.05), this relationship did not hold in SEM analysis after considering interactions with other biotic and abiotic factors (P > 0.05).These findings unveil the underlying mechanism regulating intra‐site leaf phenological diversity. While leaf phenology is known to be associated with ecosystem properties, our findings confirm that AGB is primarily influenced by functional trait composition and taxonomic diversity rather than leaf phenological diversity. [ABSTRACT FROM AUTHOR]

Background: Currently, there is no curative treatment for dementia. The implementation of preventive measures is of great importance. Therefore, it is necessary to identify and address individual and modifiable risk factors. Social isolation, defined through social networks, is a factor that may influence the onset and progression of the disease. The networks of older people are mostly composed of either family or friends. The aim of this study is to examine the influence of social isolation and network composition on cognition over the course of 12 months in people with cognitive impairment. Methods: Data basis is the multicentre, prospective, longitudinal register study 'Digital Dementia Registery Bavaria—digiDEM Bayern'. The degree of social isolation was assessed using the Lubben Social Network Scale- Revised (LSNS-R) and the degree of cognitive impairment using the Mini Mental State Examination (MMSE), conducted at baseline and after 12 months. Data were analysed using pre-post ANCOVA, adjusted for baseline MMSE, age, gender, education, living situation and Barthel-Index. Results: 106 subjects (78.9 ± 8.2 years; 66% female) were included in the analysis. The mean MMSE score at baseline was 24.3 (SD = 3.6). Within the friendship subscore, risk for social isolation was highly prevalent (42.5%). Though, there was no difference between individuals with higher/ lower risk of social isolation within the friendship-network after adjusting for common risk factors in cognitive decline over time, F (1,98) =.046, p =.831, partial η2 =.000. Conclusion: The results of this study showed that the risk of social isolation from friends is very high among people with cognitive impairment. However, social isolation does not appear to have a bearing influence on the course of cognition. Nevertheless, it is important for people with cognitive impairment to promote and maintain close social contacts with friends. [ABSTRACT FROM AUTHOR]

Once a mass health crisis breaks out, it causes concern among whole societies. Thus, understanding the individual's behavior in response to such events is key in government crisis management. From the perspective of social influence theory, this study adopts the empirical research method to collect data information in February 2020 through online survey, with a view to comprehensively describe the individuals'conformity behavior during the COVID-19 outbreak in China. The individual's conformity behavior and new influencing factors were identified. The results revealed that affective risk perception, cognitive risk perception, and individual risk knowledge had a positive significant impact on normative influence. Affective risk perception and individual risk knowledge had a positive significant on informative influence. Cognitive risk perception did not significantly impact informative influence. Informative influence and normative influence had a positive effect on conformity behavior. These results have significant implications for the management behavior of the government. [ABSTRACT FROM AUTHOR]

Point-of-interest (POI) recommendation is of paramount importance to user travel efficiency since users always expect their intended POIs can be recommended within a specified geospatial range. However, existing methods may not well establish user–user, user–POI, and POI–POI relatedness in a feature-interaction manner and social influence may not be infused into the recommendation process through feature fusion, causing unstable recommendation accuracy in different real-world datasets with multiple variables. A multi-aspect fusion of social and individual features POI recommendation method is proposed in this study, establishing feature interaction gate with user check-in ability, POI popularity, and POI physical characteristics involved. Furthermore, these multi-aspect feature interactions are exploited to incorporate multimodal data and establish information sharing and delivery between users in internal fusion through embedded factorization machine variants imposing individual influence and social influence in location-based social network (LBSN) on recommendation results. Moreover, relatedness enhancement module is established to balance contextual influence and social influence on user next movement decision in external fusion such that direct external information can be transmitted and shared, which diversifies recommendation results. Extensive experiments are conducted on two real-world datasets, and the results show that the proposed model achieves significantly superiority compared with its state-of-the-art baseline models and effectiveness of each proposed modules. [ABSTRACT FROM AUTHOR]

Background: Social norm appeals are effective in promoting sustainable majority behavior but could backfire when the target behavior is only performed by a minority of people. However, emphasizing that an increasing number of people have started engaging in the behavior or that the majority approve the behavior might prevent such negative effects. However, only a few studies have investigated the combination of descriptive minority and injunctive majority social norm appeals, with inconsistent results. Some studies of minority behavior suggest that the characteristics of recipients might determine the inconsistent results regarding the impact of minority social norm appeals and that social norm appeals could have a greater impact on individuals with weaker environment related dispositions. Method: Two two-wave studies investigated how descriptive minority appeals, injunctive majority appeals, and their combination can be used to motivate sustainable minority behavior and what role environment related dispositions play in this context. In the first part, perceived social norms, environment related dispositions, behavioral intentions, and pre-attitudes were measured. Two weeks later, respondents participated in a 3 (descriptive social norm appeal: static vs. dynamic vs. absent) x 2 (injunctive majority social norm appeal: present vs. absent) between-subjects experiment and watched an explainer video on voluntary carbon offsets that included various social norm appeals. Results: In both studies, we found that social norm appeals influenced perceived social norms. However, persuasive effects were only observed in the first study, and an injunctive majority appeal increased persuasive outcomes, but there were no differences between the descriptive conditions and no differences in their impact depending on individuals' environment related dispositions in either study. Discussion: A single exposure may be insufficient to exert persuasive effects and the change in perceived social norms may first need to be internalized. In online explainer videos, the effects of social norm appeals could be amplified by algorithm-based suggestions and when social norm appeals draw attention to norm-conforming content. However, further research is required on the long-term effects and their possible amplification via social media. [ABSTRACT FROM AUTHOR]

Previous observational studies have indicated that social influences, such as arising from herding-like behaviour, can contribute to medical errors. In this study, we experimentally examined whether general practitioners (GPs) would follow incorrect prescription recommendations from fellow GP or specialists. To investigate this, we conducted an online survey with 475 GPs practicing in England that included two case vignettes. Case vignette 1 focused on sleeping tablets, and case vignette 2 was centred around antibiotics. The vignettes were presented in random order, and within each vignette, study participants were assigned to one of three experimental conditions: control condition (lacking peer recommendation), fellow GP condition (including a recommendation from a fellow GP not aligned with best practice clinical guidelines), or specialist condition (including a recommendation from a specialist not aligned with best practice clinical guidelines). The primary outcome measure was the proportion of GPs who prescribed medication that deviated from best practice clinical guidelines. We found that, in both case vignettes, the percentage of respondents prescribing such medication was highest in those assigned to the specialist condition, followed by those assigned to the control condition. It was lowest in those assigned to the fellow GP condition (case vignette 1: 73.8% vs. 55.6% vs. 36.6% and case vignette 2: 24.0% vs. 12.4% vs. 10.1%). In the case of vignette 1, the difference between the fellow GP condition and the control condition is statistically significant, suggesting that GPs are less likely to prescribe sleeping tablets when recommended by a fellow GP. This implies that GPs are more inclined to prescribe non-guideline-recommended medication when advised by specialists. This study is the first to experimentally demonstrate that physician herding behaviour can result in prescription errors. Future research could extend this inquiry to diverse contexts, including diagnosis. [ABSTRACT FROM AUTHOR]

In recent years there has been much interest in investigating the extent to which social status or prestige are related to an individual's degree of integration in social networks. It has been shown that, among hunter‐gatherers, social characteristics of an individual based on social status or prestige, such foraging reputation, friendship popularity, and pro‐social reputation, can influence the extent to which an individual is embedded in a social network. However, little is known regarding the extent to which height, a physical trait that in Western societies is often associated with social status, is associated in integration in social networks among small‐scale hunter gatherers. Here, we investigated the relationship between height and a position an individual occupies in proximity networks among Hadza men (n = 30), hunter‐gatherers living in Northern Tanzania. The results of our study show that height is not related to the position an individual maintains in proximity networks. We argue that, in a relatively egalitarian small‐scale hunter‐gatherer societies such as the Hadza, social interactions driving proximity networks might be influenced by social traits, such as popularity and hunting reputation, rather than physical traits, such as height. [ABSTRACT FROM AUTHOR]

Introduction: In recent years, educational institutions worldwide have increasingly embraced technology as a means of enhancing the learning experience and adapting to the demands of the modern era. This trend toward digital transformation has become even more pronounced in the wake of the COVID-19 pandemic, which necessitated a rapid shift to remote learning modalities. Learning Management Systems (LMS) have emerged as crucial tools for educational continuity, enabling institutions to deliver course materials, facilitate communication, and manage student progress in virtual environments. However, the success of LMS implementation varied among educational institutions, with some achieving seamless transitions while others encountered challenges stemming from students' reluctance to fully embrace the technology. This paper contributes to the understanding of LMS adoption in higher education institutions in Dubai, UAE, by proposing a comprehensive model based on the Technology Acceptance Model (TAM) and enhanced with modern factors that fit the nature of virtual learning. Methods: Employing a quantitative research approach, the study utilized the main structure of the Technology Acceptance Model (TAM) to propose an enhanced version of factors that might influence students' acceptance of online learning management systems. To collect the necessary data, a self-administered survey questionnaire was distributed to 500 students, ensuring a comprehensive dataset for analysis. The analysis was conducted using Partial Least Square Structural Equation Modeling (PLS-SEM), a robust statistical technique suitable for complex models with latent variables. This method allowed the researchers to empirically validate the proposed model, assessing the impact of various modern factors tailored to the nature of virtual learning environments. Results: The study's empirical findings revealed several significant factors influencing students' intentions to use LMS, including personal innovation, perceived utility, system quality, service quality, and information quality. While system quality encompasses the technical aspects and functionalities of the LMS, information quality focuses on the relevance, accuracy, completeness, and timeliness of the system's content. Discussion: These insights provide valuable guidance for educational institutions in Dubai and beyond, offering actionable recommendations for optimizing LMS implementation strategies to enhance student engagement and educational outcomes in the digital learning landscape. [ABSTRACT FROM AUTHOR]

Objective: This study aims to investigate the elderly digital engagement (acceptance and utilization of technology), with a focus on the widespread application of financial technology: mobile banking (m-banking). Methods: Guided by social influence theory, the research examines the various social dynamics that encourage elderly engagement with m-banking and the moderating effects of their digital literacy. Data was gathered online utilizing a disjunctive approach and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results: The study reveals that both word-of-mouths (WOMs) and peer engagement significantly influence the elderly's perceived usefulness of the platform, thereby influencing their m-banking engagement. Additionally, the level of digital literacy among older adults was found to impact their perceived usefulness of m-banking services. Interestingly, digital literacy among older adults negatively moderates the positive associations of WOMs and peer engagement on perceived usefulness. Discussion: These insights advance our understanding of how social interactions can steer technological engagement, particularly for the silver generation with diverse levels of digital literacy. As society ages and becomes increasingly digitized, it is imperative to promote digital engagement among the elderly and foster a more inclusive digital environment. [ABSTRACT FROM AUTHOR]

Building on the seminal studies of Solomon Asch and Muzafer Sherif, recent research has advanced our understanding of the mechanisms underlying social influence by applying a diffusion model analysis. Here, we combined the social identity approach to social influence with a diffusion model analysis to unravel the mechanisms underlying social influence. In particular, we aimed to disentangle whether the difference between in‐group and out‐group influence on perceptual decision‐making is driven by a judgmental bias (i.e., changes in decision criteria) or a perceptual bias (i.e., changes in the uptake of sensory information). Preregistered analyses indicated that in‐groups exerted stronger social influence than out‐groups because in‐groups induced a stronger perceptual bias than out‐groups. This finding is in line with the single process assumption of the social identity approach because it implicates that the single process driving social influence (i.e., self‐categorisation) translates into a change in a single subprocess of decision‐making (i.e., biased information uptake). In conclusion, our results highlight that our theoretical understanding of social influence can be expanded by integrating the social identity approach with a diffusion model analysis. [ABSTRACT FROM AUTHOR]

Using social cognitive theory and notions of sanitized sports violence as a framework, a content analysis of 486 National Football League (NFL) violent penalty calls (unnecessary roughness, roughing the passer) from broadcasts in 2009 and 2019 was conducted. Announcers were largely polarized in their reactions to violent penalties when they were shown on replay. Players were rarely injured and concussions as a key issue were rarely mentioned. Concerns about the effectiveness of NFL rule changes intended to protect players and their influence on announcers' frustration with perceived over-penalization of the game (and audiences as a potential byproduct) are discussed. [ABSTRACT FROM AUTHOR]

Rewilding presents a unique opportunity to better understand the processes influencing ecological communities and how they function. Although empirical evidence on the effects of rewilding is growing rapidly, knowledge gain is unbalanced, particularly for invertebrates, despite this group representing a large proportion of biodiversity and being fundamental to key ecosystem processes. Here, we advocate for more targeted systematic monitoring and experimental research, providing a site‐based framework for practitioners to evaluate project effects on invertebrate biodiversity. This framework utilizes taxonomic indicators of change, representative of processes important to ecosystem functioning. Implementation of this framework and the associated opportunities and challenges for practitioners are discussed. Adopting this framework would broaden the taxonomic groups and ecosystem processes evaluated by rewilding projects, transform the sector from opinion‐based to evidence‐based, and help address some of the most pressing ecological and conservation questions of the twenty‐first century. [ABSTRACT FROM AUTHOR]

With the rapid development of edge computing, online social network services are growing explosively. Social influence plays a critical role in the propagation of social network information. Influence maximization is a key issue in social network analysis. Temporal-aware influence maximization has been emerging in recent years. It integrates temporal information into the classical influence maximization. The purpose for temporal-aware influence maximization is to identify the optimal users in a network that can influence the most individuals under a certain time constraint. Although each node activation is treated equally within a finite time window in existing studies. In reality, the time required for each user to get influenced varies. In contrast, because temporal-aware influence maximization is NP-hard, a number of studies have proposed approximate algorithms based on sample instances to estimate the expected influence spread of nodes. However, these methods require significant computational overheads. Therefore, this study presents learning-based time-decaying influence maximization. Specifically, this study first presents the time-decaying influence maximization, where each user has a utility score that monotonically decreases over time. Subsequently, it develops AttenLSTM-GCN to generate node embeddings that capture structural-temporal information. Then, it adopts Q-learning algorithm to predict the time-decaying influence of nodes. Based on these algorithms, the solution of time-decaying influence maximization can be obtained. Experimental studies on real world networks demonstrate that the proposed model achieves more significant accelerations and high-quality solutions than advanced algorithms. [ABSTRACT FROM AUTHOR]

Gamification is an attractive strategy for different contexts, including software process improvement, where it presents positive results associated with increased factors such as motivation and others classified into social and human factors. Such factors are required to improve software processes in the automotive industry due to the influence of changes in the conditions and the behavior of individuals. However, the treatment of gamification strategies requires rigor at a scientific level. Therefore, it is necessary to analyze critical dimensions such as the gamification maturity level, the ability to intervene, and the influence of social and human factors. Such analysis is motivated by the relationship between social and human factors and the success of a process improvement. The above justifies the researchers' interest in this article in analyzing a gamification strategy implemented in the automotive industry from such dimensions. Therefore, this article presents the analysis from the point of view of developing software‐controlled systems in automobiles. Besides, it uses a deductive approach to conduct this analysis to abstract all the design aspects of a strategy created and implemented in a software development automotive environment. One of the most representative findings of this study is the strategy's capacity to promote SHF, which identifies motivation, commitment, team cohesion, emotional intelligence, and autonomy. [ABSTRACT FROM AUTHOR]

In Baton Rouge, LA, and nationally, youth violence is a serious public health problem affecting the lives of community members. Fortunately, Black fathers have responded to the urgent call to prevent youth violence in Louisiana. In 2021, the SUPPORT project was launched to unearth stories of Black fathers’ prevention practices and interventions. Since relationships are embedded within and across various systems, the Social-Ecological Model for Violence Prevention was applied to a semi-structured interview approach to investigate two aims with 12 Black fathers from Baton Rouge: (1) how their experiences with youth violence influence their mental and social health, and their children’s violence exposure, and (2) the benefits of addressing youth violence. Using Braun and Clarke’s (2021) thematic analysis, the three major themes that emerged related to Black fathers’ history with violence were: (1) self-reflexive moments on lessons learned, (2) the impacts of victimization and bullying, and (3) socioemotional responses to youth violence. Related to the second aim, the salutary impact on the neighborhood and improvement of the school community were the major themes that emerged regarding the perceived benefits of addressing youth violence. These findings demonstrate that interviewees are cognizant of how their history of violence led to maladaptive coping mechanisms in response to youth violence and influenced their fathering ideologies; moreover, they were concerned with familial betterment. Further research is needed to deepen understanding of how Black fathers’ socioemotional responses to youth violence impact their wellness and fathering practices as their children mature. [ABSTRACT FROM AUTHOR]

To promote sustainable development of tourism, the role of the local community and their involvement are undeniable. This study aimed to discover different dimensions of the local community and assess their effects on perceived positive benefits and support for the sustainable development of tourism in Bangladesh by employing the Social Exchange Theory (SET). This study applied Structural Equation Modeling (SEM) to a data set of 250 residents of two museums. In this study, three components of the local community specifically community awareness, community involvement, and community attachment were identified and validated while community awareness was newly derived. Findings revealed that all the dimensions had strong positive impacts on perceived positive benefits, and perceived positive benefits had strong positive influences on support for sustainable development. [ABSTRACT FROM AUTHOR]

Background Methods Results Conclusions Non‐suicidal self‐injury (NSSI) in early adolescence has been amply documented. However, there has been little research on the progression of NSSI over time. Most studies have focused on the risk factors for NSSI, with less attention devoted to understanding the role of protective factors. This paper aimed to expand existing knowledge about the development of NSSI, with an emphasis on the impacts of protective factors such as social support and socioeconomic status (SES).A total of 436 adolescents completed self‐report surveys that addressed social support including friend, family, and teacher support, objective and subjective SES, and NSSI at three different points in time for 2 years.Latent growth curve analyses revealed that NSSI increased across early adolescence to mid‐adolescence. Support from friends and family negatively predicted adolescents' initial NSSI level. Furthermore, subjective SES negatively predicted the rate of NSSI.These findings contribute to an understanding of the influences of both social support and SES on NSSI over time. NSSI interventions and education should include considerations of both the value of support from friends and family as well as subjective SES. [ABSTRACT FROM AUTHOR]

Purpose: Based on the C-A-C framework, this article examined users' information avoidance intention in social media platforms. Design/methodology/approach: The authors conducted data analysis using a mixed method of the SEM and fsQCA. Findings: The results indicated that information overload, functional overload and social overload influence fatigue and dissatisfaction, both of which further determine users' information avoidance intention. The results of the fsQCA identified two paths that trigger users' information avoidance intention. Originality/value: Extant studies have examined the information avoidance in the contexts of healthcare, academics and e-commerce, but have seldom explored the mechanism underlying users' information avoidance in social media. To fill this gap, this article will empirically investigate users' information avoidance in social media platforms based on the C-A-C framework. [ABSTRACT FROM AUTHOR]

Current literature has provided substantial empirical evidence on how different types of factors influence prosocial behavior, but limited literature explores the relationship between online social media factors and their psychological influence on emerging adults' prosocial behavior. Moreover, the majority of experimental investigations have utilized self-reported questionnaires or irrelevant economic games to reflect people's prosocial behavior instead of measuring prosocial behavior demonstrated in real-life, natural settings. Considering the gaps in past research, this systematic review aims to identify literature regarding the influence of social media on emerging adults' prosocial behaviors. The review focuses on studies that observed individuals' prosocial behavior in real-life settings to eliminate social desirability bias and accurately establish the effects of social media on emerging adults' prosocial behavior. [ABSTRACT FROM AUTHOR]

The current study presents a research model that elucidates the mechanism through which self-image influences green buying intentions among university students. Little is known about these mechanisms as well as the circumstances under which any such effects are strengthened or weakened. This study attempted to fill this void by investigating how environmental concern serves as an explanatory mechanism for the relationship between self-image and green buying intention, with social influence moderating this relationship. Based on survey data from 384 university students, environmental concern mediated the impact of self-image on green buying intention, and social influence had a conditional effect on self-image, environmental concern, and green buying intention. The findings also indicate that social influence moderated the indirect effect of self-image on green buying intention through environmental concern, with the indirect effect being stronger when social influence was low versus when it was high. These results add to the body of knowledge and provide new insights into theory and practice. The practical implications and future research directions are also discussed. [ABSTRACT FROM AUTHOR]

To estigate the relationship between social support, self-efficacy, coping style, and self-perceived burden and the mechanisms that underlie the action in Chinese OSA patients. Between October 2022 and June 2023,316 OSA patients from two hospitals were surveyed. Data were collected using the General Demographic Characteristics Questionnaire, Social Support Rating Scale (SSRS), Self-Efficacy for Chronic Disease Scale (SECD6), and Simple Coping Style Questionnaire (SCSQ). Correlation analysis was performed using Pearson correlation. Regression analysis was performed using multiple linear regression analysis. The mediation effect analysis was performed using the Process macro (version 3.4.1) in SPSS. (1)This study confirmed that social support, self-efficacy, and coping styles had significant negative predictions regarding self-perceived burden. (2)The influence of social support on self-perceived burden in OSA patients is mainly through three indirect effects: single mediation effect of self-efficacy and coping style and interlocking mediation effect of self-efficacy→coping style. Social support can indirectly predict self-efficacy in OSA patients through the single mediation effect of self-efficacy and coping style and indirectly predict the self-perception burden in OSA patients through the linked mediation effects of self-efficacy and coping style. • Self-perceived burden was common among OSA patients and was overall moderate. • There was a significant negative relationship between self-perceived burden and social support, self-efficacy, and positive coping in OSA patients. • Self-efficacy and positive response in OSA patients play a mediation effect between social support and self-perceived burden, respectively, while self-efficacy and positive coping also play a chain mediation effect between social support and self-perceived burden. [ABSTRACT FROM AUTHOR]

Brand love and brand loyalty are crucial factors in consumer-brand relationships. However, few studies have examined the impact of social influences on them. Using structural equation modeling, this study investigated the impact of interpersonal influence and celebrity endorser influence on brand love and brand loyalty, the mediating role of brand love between the two social influences and brand loyalty, and finally the moderating roles of gender and consumer age across these relationships. The results suggest that both the social influences have a crucial role in this context and brand love acts as a partial mediator in the association with brand loyalty. Gender did not play the expected moderating role. However, consumers' age played a significant moderating role in the relationships between social influences and brand love. [ABSTRACT FROM AUTHOR]

Three preregistered experiments examined to what extent information about an epidemic situation provided by experts and information about anti-infection policies promoted by governments/media influenced anti-infection behaviors. The above effects were examined among populations from different countries (in Experiments 2 and 3) and across self-construals (in Experiment 3). In three experiments, participants (N =706) were presented with a scenario where experts provided (or did not provide) information about an epidemic situation and governments/media promoted (or did not promote) information about anti-infection policies. After that, participants indicated their willingness to adopt anti-infection behaviors. Results across three experiments showed that both types of information independently increased participants' anti-infection behaviors. In Experiments 2 and 3, we further found that the epidemic information had a larger impact on inducing anti-infection behaviors than the policy information, which was robust and consistent across countries and self-construals. Findings were discussed under the framework of social influence and in terms of practical implications for pandemic situations like the COVID-19. [ABSTRACT FROM AUTHOR]

In this work, we propose a diffusion model for temporal social networks and relate it to other well-known models of social influence by investigating its formal properties. The model establishes dyadic influence weights based on two antagonistic components: the susceptibility to be influenced (or, conversely, inertia with respect to the status quo) and becoming independent of prior influence. The proposed model generalizes the Friedkin-Johnsen model by the inertia with respect to the current influence relationships. We show that this generalization is an over-parameterization for static but not for dynamic influence networks. These findings suggest that the model at hand expands the set of existing social influence models in a non-trivial way. [ABSTRACT FROM AUTHOR]

Social species rely on acquiring appropriate social skills to navigate their social environment. Developmental plasticity allows individuals to develop an appropriate phenotype by receiving cues from their social and nonsocial environment. However, committing to a specific phenotype early in life may prove maladaptive if there is a mismatch between the early and future environment. To address potential mismatches, multiple or extended sensitive periods provide opportunities for individuals to gather the necessary information in changing and predictable environments. Cooperative breeders, like the highly social cichlid Neolamprologus pulcher , typically experience changing environments especially during dispersal. While we know that early development is critical for the acquisition of social competence, it remains uncertain whether a second or extended sensitive period exists around the time of dispersal decisions in cooperative breeders. Here we manipulated the early and late life social environment of N. pulcher and asked whether individuals retain plasticity to adjust their social phenotype around sexual maturation. Juveniles were raised for 2 months with or without adults and tested for social competence. Shortly before reaching sexual maturity, they were randomly assigned to be housed alone, with siblings or with a social group for an additional 2 months before undergoing further social competence testing. Aggressive and submissive behaviours were assessed in two social contexts. Fish raised with a large group exhibited greater social competence compared to those raised only among siblings, regardless of subsequent social experiences. This suggests that either early life cues reliably predict future environments in nature or that constraints on late life plasticity exist. • We study the acquisition of social competence in cooperatively breeding fish. • We investigate whether sensitive periods exist early and late in life. • Early development is critical in acquiring social competence in Neolamprologus pulcher. • Later development does not influence the social competence in N. pulcher. [ABSTRACT FROM AUTHOR]

Current grassland restoration strategies aim to recreate grassland vegetation communities, and often rely on high‐diversity native seeding to promote vegetation diversity. Questions remain concerning the influence of vegetation richness and diversity on grassland fauna. Small‐mammal communities are integral parts of grassland ecosystems, but their responses to restoration are often mixed or overlooked. During July 2014 to 2016, we used Sherman live traps to survey grassland small‐mammal communities of 24 study sites in northeastern South Dakota and southeastern North Dakota, USA, to better understand their responses to vegetation cover type, diversity, richness, and site‐specific vegetation structure. Sites represented a vegetation species richness gradient and 3 vegetation cover types including low‐diversity restorations planted with dense nesting cover (DNC) seed mix, high‐diversity seeded restorations, and unseeded reference grasslands. Small‐mammal abundance was highest at low‐diversity DNC restoration sites and lowest in reference grassland. Small‐mammal diversity was highest at high‐diversity restoration sites and lowest at low‐diversity DNC restoration sites. Models assessing the influence of vegetation structure on the abundance of focal taxa differed. Deer mice (Peromyscus spp.) were negatively influenced by percent native vegetation cover, and voles (Microtus spp.) showed yearly variation and were influenced positively by litter depth and negatively by vegetation richness. Small‐mammal communities of low‐diversity DNC restorations differed from reference sites, but high‐diversity restorations were not different from reference or low‐diversity DNC sites. Thirteen‐lined ground squirrel (Ictidomys tridecemlineatus) abundance was higher at reference and high‐diversity restored sites, while low‐diversity DNC sites had higher deer mice abundance. Results indicate small mammals are unlikely to respond uniformly to vegetation characteristics, and diversity of seed mixes used in grassland restoration is likely to influence grassland small‐mammal communities. [ABSTRACT FROM AUTHOR]

Communitarians argue that social identity is formed through the connection between individuals and their communities. The purpose of this study is to examine how the institution of journalism functions as part of a larger community. Media influence and are influenced by the larger social, cultural, legal, political, and economic systems in which they operate. This textual analysis focused on the breakdown of four Boston institutions—the Catholic Church, the police force, the justice system, and the daily newspaper—depicted in the film Spotlight. These institutions failed their community, allowing decades of sexual abuse to go unrecognized and unpunished—at least until the Spotlight team investigated allegations against Catholic priests. Through the lens of communitarian ethics, the researchers argue that stakeholders must recognize the need for a strong community from which the press can report, explain, correct, and connect. [ABSTRACT FROM AUTHOR]