Mining Community-Level Influence in Microblogging Network: A Case Study on Sina Weibo by Yufei Liu, Dechang Pi, Lin Cui

“…Social influence analysis is important for many social network applications, including recommendation and cybersecurity analysis. …”
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The Impact of Virtual Clinic Services on Healthcare Practitioners’ Attitudes: A Case Study at Maternity and Children Hospital Makkah al Mukarramah, Saudi Arabia by Misfer A. Asiri, Judy Jenkins, Jomin George, Aalia A. Hayat, Jalal H. Meny, Hassan H. Al-Qurashi, Emad N. Alsubhi, Saad A. Almalki

“…Results indicate significant associations between factors such as performance expectancy (0.022|), perceived value (0.004), social influence (0.002), facilitating conditions (0.002), hedonic motivation (0.029), and habit influence (0.035), and healthcare practitioners’ attitudes toward virtual clinic use. …”
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Information Filtering via Biased Random Walk on Coupled Social Network by Da-Cheng Nie, Zi-Ke Zhang, Qiang Dong, Chongjing Sun, Yan Fu

“…However, most researchers focus their attentions on mining the similarities among users or objects in recommender systems and overlook the social influence which plays an important role in users’ purchase process. …”
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Drivers influencing the adoption of cryptocurrency: a social network analysis approach by K. Kajol, Srijanani Devarakonda, Ranjit Singh, H. Kent Baker

“…Moderately influential factors include trust, risk, relative advantage, social influence, and perceived behavioral control. Price/value, facilitating conditions, compatibility, and usefulness are the least influential. …”
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Determinants of intention to use FinTechs services by accounting students: a mixed methods approach by Anderson Betti Frare, Carla Milena Gonçalves Fernandes, Mariele Castro dos Santos, Alexandre Costa Quintana

“…The theoretical basis and hypothesis development were based on the Unified Theory of Acceptance and Use of Technology (UTAUT), which contemplates the facilitating conditions, performance expectancy, effort expectancy, social influence, and the behavioral intention to use said services. …”
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Exploring the drivers of digital technology adoption for enhancing domestic tax mobilization in Ghana by Alexander Asmah, Kingsley Ofosu Ampong, Dzifa Bibi, Wihlemina Ofori

“…Purpose: This study investigates the determinants of tax compliance through the lens of performance expectancy, effort expectancy, social influence, facilitating conditions and hedonic motivation. …”
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INFLUENCING FACTORS OF E-GOVERNMENT SERVICES ADOPTION IN BOSNIA AND HERZEGOVINA by Edin Osmanbegović, Zijad Lugavić

“…The survey results, conducted on a sample of 553 citizens’ of Bosnia and Herzegovina, found that determinants social influence, effort expectancy and performance expectancy are statistically most influential determinants of citizens’ adoption of e-government services. …”
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AN INTEGRATED TECHNOLOGY ACCEPTANCE MODEL FOR SMART CITY MOBILE APPLICATIONS: IDENTIFICATION OF KEY FACTORS AND EXTENSION OF TECHNOLOGY ADOPTION by Musab Talha Akpınar, Mehmet Atak

“…Key factors affecting SCMA user acceptance include perceived enjoyment, innovation, trust, social influence, security, compliance, satisfaction, perceived benefit, ease of use, and intention to use. …”
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Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach by Ashish A. Linge, Tushar Chaudhari, Baldeo B. Kakde, Mahesh Singh

“…The main aim of this research study is to examine the impact of five independent variables viz. performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation on behavioral intention to use mobile payment apps. …”
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The University as a Means for Value Creation. Service-learning for Service Orientation by María A. Ramón-Jerónimo, Rosario Vázquez-Carrasco, Ana Olavarría-Jaraba, Emily Grott

“…Given that universities are the nest of future employees, and the latest World Economic Forum Future of Jobs Report highlights skills such as empathy and active listening, leadership and social influence—all of which are reflected in service orientation – universities seem best placed to harness these skills. …”
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Analysis of factors influencing electric vehicle adoption in Sub-Saharan Africa using a modified UTAUT framework by Qasim Ajao, Makhluk Hossain Prio, Lanre Sadeeq

“…The model incorporates facilitating conditions, trust, performance expectancy, social influence, network externalities, and effort expectancy as critical determinants. …”
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A Study of Determining Factors Influencing the Intention of Cryptocurrency Investors Using UTAUT 2 Approach by Ladia Puspanegara, Jono M. Munandar, Bagus Sartono

“…“The data were analyzed using two methods,“descriptive statistical analysis and SEM (Structural Equation Modeling).”The research findings indicate that several variables such as price value, social influence, hedonic motivation, performance expectancy, effort expectancy, and facilitating conditions have a positive and significant influence on BI (Behavioral Intention).”Additionally, the perceived risk variable has a negative and significant influence on behavioral intention. …”
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INFLUENCING FACTORS OF E-GOVERNMENT SERVICES ADOPTION IN BOSNIA AND HERZEGOVINA by Edin Osmanbegović, Zijad Lugavić

“…The survey results, conducted on a sample of 553 citizens’ of Bosnia and Herzegovina, found that determinants social influence, effort expectancy and performance expectancy are statistically most influential determinants of citizens’ adoption of e-government services. …”
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Motivated by Design: A Codesign Study to Promote Challenging Misinformation on Social Media by Selin Gurgun, Emily Arden-Close, Keith Phalp, Raian Ali

“…We applied the unified theory of acceptance and use of technology (UTAUT) as a theoretical framework and analysed our data based on the core constructs of this framework: performance expectancy, effort expectancy, social influence, and facilitating conditions. Our findings reveal four design considerations: creating secure and supportive environments, facilitating informed discussions through easy confrontation and access to reliable resources, leveraging recognition and social proof, and user support infrastructure. …”
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Design strategies for artificial intelligence based future learning centers in medical universities by Yang Xiaowen, Ding Jingjing, Wang Biao, Zhang Shenzhong, Wu Yana

“…Results Effort expectancy (EE), facilitating condition (FC), social influence (SI), and satisfaction (SA) significantly influence medical students’ continuance intention (CI) to use artificial intelligence tools. …”
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Web 2.0 Students Adoption Model for Learning in Universities: A Case of Muni University, Uganda by Phelix, Businge Mbabazi, Nicholas, Nkamwesiga, Ritah, Nafuna, Patricia, Kyomugisha

“…The model shows that students’ behavioral intention to use Web 2.0 depends on performance expectancy, effort expectancy, social influence and facilitating conditions. The study also showed that students use YouTube, Facebook and Google Apps but not LinkedIn, Social Bookmarking, Moodle, Zoom, Edx, MIT Courseware, and Dropbox among others.…”
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Private Parking Space Sharing Intention in China: An Empirical Study Based on the MIMIC Model by Ange Wang, Hongzhi Guan, Yan Han, Yangliu Cao

“…The results show that (1) the sharing behavioral intention (BI) is directly affected by perceived benefit (PB), perceived risk (PR), social influence (SI), and facilitating condition (FC) and indirectly affected by effort expectancy (EE), of which the total effect of PB is the largest; (2) exogenous variables have an indirect effect on BI through other psychological latent variables; among them, different sociodemographic and economic characteristics have a significant influence on different latent variables, while the built environment has no significant effect on latent variables. …”
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Adoption of AI writing tools among academic researchers: A Theory of Reasoned Action approach. by Mohammed A Al-Bukhrani, Yasser Mohammed Hamid Alrefaee, Mohammed Tawfik

“…Strategies focusing on cultivating positive attitudes, leveraging social influence, and addressing perceived barriers could be particularly effective in promoting adoption. …”
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Social leadership and authority in the field of national and military security: problems of formation in the digital world by M. M. Kibakin

“…Based on the author’s sociological research, the paper analyses the self-assessment of young people of their leadership qualities, authority and social influence on other people in accord- ance with their status in social networks. …”
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The predictors of behavioral intention to use ChatGPT for academic purposes: evidence from higher education in Somalia by Ahmed-Nor Mohamed Abdi, Abukar Mukhtar Omar, Mohamed Hassan Ahmed, Abdullahi Abdulkadir Ahmed

“…The results uncovered that perceived usefulness, ease of use, social influence, hedonic motivation, and credibility have positively and significantly impacted students’ intention to use ChatGPT. …”
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