Social Influence Research Articles

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.

Adolescents and Young Adults Use of Social Media and Following of e-Cigarette Influencers.

With high rates of both e-cigarette and social media use among adolescents and young adults (AYAs), social media influencers who promote e-cigarettes are particularly concerning but are understudied. We examined the association between AYAs' use of 11 different social media platforms (e.g. Facebook, Twitter, Instagram, TikTok, and YouTube) and exposure to social media e-cigarette influencers. From November 2022 to February 2023, we conducted an online, US national survey of AYAs (14-29 years) who endorsed past-30-day e-cigarette use. We used binomial logistic regression to examine associations between the frequency of use of each social media platform and following e-cigarette influencers, controlling for age, sex, race, ethnicity, e-cigarette use frequency, and other tobacco and substance use (i.e., alcohol and cannabis). The model was stratified by adolescents (14-17 years; n = 293) and young adults (18-29 years; n = 654). The most frequently used social media platforms were Snapchat, TikTok and Instagram among adolescents, and YouTube, Instagram and TikTok among young adults. In adjusted models, following e-cigarette influencers was associated with more frequent use of TikTok (adjusted odds ratio [95% CI]; 1.33 [1.05, 1.68]) and Pinterest (1.18 [1.02, 1.38]) among adolescents, and more frequent use of Twitter (1.17 [1.06, 1.29]) among young adults. The use of different platforms was associated with exposure to e-cigarette influencers: TikTok and Pinterest among adolescents and Twitter among young adults. These findings can inform tobacco regulatory policy and social media platform restrictions of e-cigarette influencers on the platforms that are popular among AYAs.

Cybercriminal Networks and Operational Dynamics of Business Email Compromise (BEC) Scammers: Insights from the “Black Axe” Confraternity

ABSTRACT I explored the relationship between the “Black Axe” Confraternity and cybercrime, with a particular emphasis on the structural dynamics of the Business Email Compromise (BEC) schemes. I investigated whether a conventional hierarchical system governs the membership and remuneration for BEC roles as perpetrators by interviewing an accused “leader” of the “Black Axe” affiliated cybercriminal incarcerated in a prominent Western nation. I supplemented the analysis of interview data with insights from tapped phone records monitored by a law enforcement entity. I merged Actor-network theory and Social Network theory as analytical frameworks and thematically analyzed data to produce six overarching themes: (1) The fluidity of Structure and Adaptive Roles in BEC, (2) Challenges in Visualizing Criminal Networks, (3) Globalization and Transnational Dimensions, (4) Social and Cultural Influences, (5) Internal Cybersecurity Threats and Money Laundering, and (6) Remuneration and Influences of Cryptocurrency, casting a brighter light on the topic. Unlike traditional organized crime, BEC scammers have adopted a nonhierarchical model that is flexible and fluid. I found no evidence of a rigid hierarchy dictating positions and remuneration for BEC roles. Instead, I observed that cybercriminals involved in BEC activities functioned horizontally, promoting fluidity, maneuverability, collaboration, and specialization across various facets of their illicit pursuits. I also highlighted the cross-border links BEC offenders have with other criminal actors facilitated by Black Axe organizational machinery. My research adds value to the existing body of knowledge, utilizing a unique dataset comprising direct testimonies of a high-profile BEC offender affiliated with the ‘hard–to–access,’ Black Axe gang.

Users' continuance intention towards an AI painting application: An extended expectation confirmation model.

With the rapid advancement of technology, Artificial Intelligence (AI) painting has emerged as a leading intelligence service. This study aims to empirically investigate users' continuance intention toward AI painting applications by utilizing and expanding the Expectation Confirmation Model (ECM), Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and the Flow Theory. A comprehensive research model is proposed. A total of 443 questionnaires were distributed to users with AI painting experiences for data collection. The hypotheses were tested through structural equation modeling. The primary conclusions drawn from this research include: 1) Confirmation plays a crucial role, significantly and positively predicting satisfaction and social impact. 2) Personal innovativeness has a significant effect on confirmation. 3) Satisfaction, flow experience, and social influence directly and positively predict intention, with social influence showing the most significant impact, while perceived usefulness, perceived enjoyment, and performance expectancy show no significant impact on intention. 4) Habit plays a negative moderating role in the association between social influence and continued intention to use. These findings offer valuable insights and inspiration for users seeking to understand the appropriate utilization of AI painting and provide actionable directions for the development of AI painting.

Barrier-breakers’ influence on full-adoption of digital payment methods

PurposeThe purpose of this study is to empirically examine the relationships between barrier-breakers and customers’ intention to fully adopt digital payment methods (DPMs).Design/methodology/approachSurvey data were analyzed using statistical methods focusing on hypothesis testing with an ordinal regression model and moderation analysis using the PROCESS macro extension. Participants were divided into two groups of customers in Sweden: adopters-accepters, i.e. young bank customers and adopters-resisters, i.e. members of a formally organized group opposed to a cashless society.FindingsThe findings revealed that only the credibility barrier-breaker could increase the adopters-accepters’ intention to fully adopt DPMs. Credibility also seemed to be an important barrier-breaker for the adopters-resisters, as were perceived usefulness and social influence. Additional analyses showed that the impersonalization barrier reduces the impact of the barrier-breakers on DPM adoption.Practical implicationsRetail banks and merchants can use these results as a guide to what barrier-breakers might affect various customers’ intention to fully adopt DPMs, and to act accordingly. The impersonalization barrier also merits attention when creating an emotional connection to customers who use DPMs.Originality/valueThis study provides empirically based knowledge of the influence of barrier-breakers on the intention of customers, categorized as adopters-accepters and adopters-resisters, to fully adopt DPMs, and highlights the importance of maintaining a human touch in the post-COVID-19 digital era.

Acceptance factors of telemedicine in times of COVID-19: Case Argentina

Acceptance factors of telemedicine in times of COVID-19: Case Argentina

The dynamics of social media influencer-driven CSR advertising: The role of sponsorship disclosure and perceived similarity

ABSTRACT Drawing upon the Persuasion Knowledge Model, this study investigates the boundary conditions and psychological mechanisms aimed at enhancing the effectiveness of corporate social responsibility (CSR) advertising when conveyed by social media influencers (SMI) targeting Generation Z consumers. To this end, two experiments were conducted to examine the interaction impacts of disclosure prominence (implicit vs. explicit), endorsement type (brand vs. CSR), and perceived similarity on online behavioral intentions, mediated by perceptions of manipulativeness. The findings of Study 1 revealed that implicit disclosure played a more significant role in eliciting positive behavioral intentions to SMI-CSR advertising, while the opposite results were found for SMI-brand advertising. The results of Study 2 demonstrated that explicit disclosure was less likely to generate perceived manipulativeness toward SMI-CSR ads endorsed by SMIs with low similarity. However, the level of perceived manipulativeness was similar for SMI-CSR ads by SMIs with high similarity regardless of disclosure prominence. Notably, perceived manipulativeness emerged as a significant mediator underlying these interactions in both studies. The theoretical and practical implications are also discussed.

Public-Private Powerplays in Generative AI Era: Balancing Big Tech Regulation Amidst Global AI Race

The past decades have seen unbridled growth in the economic, social and political influence of large technology corporations (Big Tech) in the United States. The rising popularity of Generative Artificial Intelligence (GenAI) is likely to further consolidate the power of these companies. The rapid expansion of Big Tech in various domains has triggered a wide range of economic, ethical, and political concerns. However, the US Government is also engaged in a growing technology and AI race with China. As a result, the US government now faces the challenges of balancing the external goal of winning the AI race through close collaboration with the Big Tech and the internal objective of regulating the Big Tech. In this paper, we argue that this intersection of interest has been the primary motivator of US policy on the governance of Big Tech. By exploring the evolution of AI policy in the US, we highlight the role internal and external pressures have played in its approach to AI governance.

Exploring the journey of influencers in shaping social media engagement success

This study unfolds nuanced insights into the diverse dimensions dictating the success of social media influencers. Analyzing more than 210,000 social media posts and utilizing the Heuristic-Systematic Model of Information Processing (HSM), this study explores diverse factors, including individual appearance characteristics, depth of persuasive power, and various influencer types. The findings of this study shed light on the distinct impacts of varying influencer archetypes, such as celebrities and micro-celebrities, on user engagement and reveal the nuanced moderating effects of these archetypes on the relationships intertwined with personal attributes, persuasive potency, and influencer success. The proposed model advocates that influencers who leverage more profound, systematic processing strategies, marked by detailed information analysis and conveyance, are poised to experience elevated user engagement compared to counterparts employing heuristic modalities, distinguished by practical mental shortcuts and superficial examinations. This elucidation accentuates the imperative of harmonizing heuristic and systematic methodologies for emerging influencers and brands aspiring to optimize user engagement and efficaciously mold consumer behavior. This paper encapsulates a comprehensive exploration of the dynamic landscapes of influencer marketing via the HSM prism, delivering profound insights and practical ramifications for scholars, marketers, and influencers aiming to navigate and exploit the intricate networks of influential determinants in the ever-evolving digital marketing domain.

Quantitative analysis of social influence and digital piracy contagion with differential equations on networks

Illegal file sharing of copyrighted contents through popular file sharing networks poses an enormous threat to providers of digital contents, such as, games, softwares, music and movies. Though empirical studies of network effects on piracy is a well-studied domain, the dynamics of peer effect in the context of evolving social contagion has not been enough explored using dynamical models. In this research, we methodically study the trends of online piracy with a continuous ODE approach and differential equations on graphs to have a clear comparative view. We first formulate a compartmental model to study bifurcations and thresholds mathematically. We later move on with a network-based analysis to illustrate the proliferation of online piracy dynamics with an epidemiological approach over a social network. We figure out a solution for this online piracy problem by developing awareness among individuals and introducing media campaigns, which could be a valuable factor in eradicating and controlling online piracy. Next, using degree-block approximation, network analysis has been performed to investigate the phenomena from a heterogeneous approach and to derive the threshold condition for the persistence of piracy in the population in a steady state. Considering the dual control of positive peer influence and media-driven awareness, we examine the system through realistic parameter selection to better understand the complexity of the dynamics and suggest policy implications.

Adoption and use of MOOCs by undergraduates in selected universities in Ibadan, Nigeria

This research examines the utilisation of Massive Open Online Courses (MOOCs) by university undergraduates in Ibadan, Nigeria, for digital skill development. A survey of 378 undergraduates from the University of Ibadan, Lead City University, and Dominican University is conducted. Principal Component Analysis (PCA) simplifies UTAUT variables, while regression analysis explores factors influencing MOOC usage. Results show a substantial 77.8% adoption rate of MOOCs, indicating a growing interest in online learning. Performance expectancy, effort expectancy, social influence, facilitating conditions, and internet accessibility significantly influence MOOC usage, though higher values for performance expectancy and facilitating conditions unexpectedly correspond to reduced utilisation. Demographic factors like age and gender do not significantly impact adoption. Limitations include the focus on Ibadan university students, potentially limiting generalizability, and the study’s cross-sectional nature, which may not capture long-term trends. Nonetheless, the research sheds light on digital education in Nigeria, emphasising MOOC utilisation among students. Rigorous statistical analyses and incorporating the UTAUT framework provide a robust foundation for interpretation. The results highlight prevalent MOOC usage and offer insights into adoption factors. Implications extend to educational institutions, instructors, digital literacy initiatives, and policy-making, stressing the importance of enhancing MOOC adoption for digital skill development among Nigerian university students.

Older Adults’ Adoption of Technology-Mediated Mobility Solutions: A Review and Agenda

ABSTRACT Mobility is important to older adults’ independent living. However, not all older adults’ experience mobility seamlessly; instead, they often encounter challenges in mobility. The advent of technology has led to the development of technology-mediated mobility solutions. Many studies have been conducted to examine older adults’ adoption of technology-mediated mobility solutions. Yet, no study, to date, has attempted to systematically review the progress of research in the field, thereby depriving researchers of an overview of older adults’ adoption of technology-mediated mobility solutions, which may be useful for early career researchers to gain entry insights and established researchers to gain an updated understanding of the field. To address this gap, this study systematically reviews the literature on older adults’ adoption of technology-mediated mobility solutions, encompassing the progress of research in the field, as well as the antecedents and consequences of adopting technology-mediated mobility solutions among older adults. In doing so, this study delivers seminal state-of-the-art insights on a comprehensive encapsulation of antecedents (i.e. ethical considerations, social influences, personal factors, usability elements, and environmental conditions) and consequences (i.e. quality of life) of older adults’ adoption of technology-mediated mobility solutions, as well as directions to stimulate future research in the field.

Study of Narcissism through Instagram Influencers

The use of social networking sites and especially Instagram use has grown rapidly. Saying this, anew breed of narcissism is practiced/seen in social media influencers. The new features introduced by Instagram has only facilitated Narcissism. The present study focuses on how the social media influencer affects its users and promotes traits of Narcissism and how various Instagram features like reels, story, filters have become an everyday aspect of the users.

Exploring the effects of audience and strategies used by beauty vloggers on behavioural intention towards endorsed brands

Influencer marketing has become a potent and dynamic force in the digital age, changing the face of marketing in a variety of sectors. Even though social media influencers are still important in corporate communication strategies, there are still unresolved issues concerning what exactly makes an influencer powerful and how that influence impacts the behaviour of their followers. This research investigates the role of interactional elements used by beauty vloggers on the purchase intentions of consumers. In addition to the influence of beauty vloggers, there are inherent aspects that impact consumer purchasing behaviour. The present study also examines the impact of audience characteristics in forming consumer attitudes towards beauty vloggers that result in shaping favourable consumer behaviour. The study was carried out on individuals aged 16 to 45 years, who use social platforms regularly. Data obtained from 367 respondents from North India was analysed using structural equation modelling with the SmartPLS software. The outcome of the study demonstrates that interactional elements used by beauty vloggers impact the behaviour of consumers. The results also showed that perceived influence serves as a partial mediator in the relationship between interactional elements and consumers’ purchase intention. Moreover, findings indicate that when consumers hold favourable attitudes towards beauty vloggers, the impact of self-concept and personality congruence enhancement on consumer behaviour is amplified, showcasing the mediating role of consumer attitude. The study’s findings offer insights that can assist industrial marketers and cosmetic company practitioners in strategically selecting influencers to boost sales.

Analyzing University Students’ Attitude and Behavior Toward AI Using the Extended Unified Theory of Acceptance and Use of Technology Model

This quantitative study using Partial Least Square Structural Equation Modeling (PLS-SEM) examined a structural model of the attitudes and behaviors of university students toward AI in higher education. The results obtained using SmartPLS 4.0 indicate that the constructs exhibit validity and reliability (λ ≥ 0.708, α=0.767-0.948, AVE=0.584-0.777, HTMT=< 3.3). Further, the analysis of the hypothesized extended Unified Theory of Acceptance and Use (UTAUT) model reveals that AI Awareness significantly impacts Attitude toward AI (β = 0.156, p = 0.003) and Behavioral Intention to Use AI (BIU) (β = 0.337, p < 0.001). AI Trust also significantly influences Attitude toward AI (β = 0.366, p < 0.001) and BIU-AI (β = 0.173, p = 0.007). Additionally, Attitude toward AI is a strong predictor of BIU-AI (β = 0.457, p < 0.001). Social Influence significantly affects Attitude toward AI (β = 0.21, p < 0.001), while Effort Expectancy and Performance Expectancy do not show significant effects in this context. The link between Facilitating Conditions and BIU-AI is also insignificant. The model explained a substantial portion of the variance in attitude (R2 =0.612) and behavior (R2 =0.710). Fit indices indicate good model fit, and predictive relevance metrics were satisfactory.

Intersections of queer, gender, and religious socialization: a critical collaborative autoethnography

As four queer counseling and counselor education scholars, we used critical collaborative autoethnography to examine socialization influences on our queer, gender, and religious identities. Analysis revealed four themes describing social-cultural socialization’s influence on identity negotiation processes: social-cultural/environmental influences; navigating inequalities, power relations, and structures; personal/internal development; and action-oriented change. Findings inform counseling, psychology, PK-12 and higher education, and an interdisciplinary understanding of intersectional identity development for queer persons in theologically conservative and gendered contexts and warrant further investigation of intersectional identity development for queer persons navigating dominant gendered, racist, and religious contexts.

Nonsuicidal Self-Injury and Suicidal Beliefs in Adolescent Inpatient

Nonsuicidal Self-Injury and Suicidal Beliefs in Adolescent Inpatient

The place of legal obligations in the system of social obligations

The emergence and gradual development of human society, as well as the need to regulate relations between individuals within such a society, lead to the emergence of the first elementary rules of behavior. Undoubtedly, such rules arise spontaneously in the process of living together, have an oral form of expression and are supported by early traditions and customs. Gradually, the dynamic development of society causes complications and branching of ties between its members, giving impetus to the appearance of more regulated and established rules of behavior, namely, a system of social norms. The system of social norms is created and developed throughout the history of mankind, adapting to the emergence of new needs and interests of society. That is why this system is characterized by objectivity, as it expresses the laws of the development of society, its specificity, fixing stable and repeated social connections. At the same time, it is worth taking into account the subjective factor in the formation of social norms, since they cannot arise without the participation of public consciousness. The subjective nature of social norms is determined by the possibility of individuals and social groups to realize the needs of society in establishing value guidelines for behavior and to establish them in various rules or prescriptions, having formed a certain level of legal consciousness that would correspond to the level of development of society. So, on the one hand, social norms are created by people and have a conscious-volitional character, and on the other hand, they are determined by the action of objective laws that do not depend on a person. Thus, social norms can be defined as rules of behavior of a general nature existing in society, determined by objective laws, which express the will of a certain part of the population or the entire society and are provided by various means of social influence. At the nascent stage of the system of social norms, most of it consisted of social obligations and sanctions for their non-compliance, which were determined by the system of society at that time. Social duties arise together with the appearance in human society of the germs of morality and a person's awareness of his responsibility to his family and tribe. Accordingly, with the development of humanity and the diversification of social interactions, the institution of duty was modified, acquiring new features and giving impetus to the emergence of moral, religious, and later legal duties. A legal obligation arises and develops in a close relationship with other types of social obligations, in particular - moral, religious, corporate, so we consider it expedient to compare and compare them.

Understanding covid-19 prevention behaviours: Implications for social and health marketers for the prevention of future pandemics

From the integrative perspectives of the health belief model and social influence theories, the study sought to identify factors social and health marketers should focus on to elicit voluntary change in behavior toward the performance of COVID-19 infection prevention behaviors such as frequent handwashing with soap, social distancing, and avoidance of handshaking using mixed method approach. The quantitative data from 605 respondents through structured questionnaires were analyzed using PLS-SEM. The qualitative data through five focus group discussions were also analyzed using thematic analysis. The result shows that religiosity and trust in traditional medicine are the major factors contributing to the lack of severity and susceptibility to the coronavirus. The result further shows informational and normative social influencers as significant mediators between the constructs of the HBM and the performance of the COVID-19 protocols, suggesting that these influencers play a significant role in achieving the performance of the recommended behaviors.

Consensus-building conversation leads to neural alignment

Conversation is a primary means of social influence, but its effects on brain activity remain unknown. Previous work on conversation and social influence has emphasized public compliance, largely setting private beliefs aside. Here, we show that consensus-building conversation aligns future brain activity within groups, with alignment persisting through novel experiences participants did not discuss. Participants watched ambiguous movie clips during fMRI scanning, then conversed in groups with the goal of coming to a consensus about each clip’s narrative. After conversation, participants’ brains were scanned while viewing the clips again, along with novel clips from the same movies. Groups that reached consensus showed greater similarity of brain activity after conversation. Participants perceived as having high social status spoke more and signaled disbelief in others, and their groups had unequal turn-taking and lower neural alignment. By contrast, participants with central positions in their real-world social networks encouraged others to speak, facilitating greater group neural alignment. Socially central participants were also more likely to become neurally aligned to others in their groups.