Showing 41 - 60 results of 170 for search '"social influence"', query time: 0.10s Refine Results
  1. 41
  2. 42

    Exploring the Influencing Factors of Carbon Footprint Tracking Application Usage Intention: A Combined UTAUT and NAM Approach by Shichuan Li, Xiang Liu

    Published 2025-01-01
    “…The results show that performance expectancy, effort expectancy, social influence, and personal norms significantly affect usage intention. …”
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    Article
  3. 43

    Acceptance and use of demand-responsive transport by older people in old new town: Evidence from Senboku new Town by Haruka Kato, Kento Yoh

    Published 2025-01-01
    “…As a result, we found a significant relationship between social influence and behavior intention for both older people (ßSI-BI = 0.347) and adults (ßSI-BI = 0.445). …”
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    Article
  4. 44

    Adopsi E-Commerce oleh Konsumen Milenial Pada Produk UMKM Di Kota Subang Menggunakan Model UTAUT In Consumer Contex by Rian Piarna, Ferdi Fathurohman

    Published 2020-10-01
    “…Hasilnya menunjukkan bahwa ada hubungan positif dan signifikan anatara social influence dan habit terhadap behavioral intenion. …”
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    Article
  5. 45

    Implementasi Model UTAUT (Unified Theory of Acceptance and Use of Technology) untuk Menganalisis Faktor- Faktor yang Mempengaruhi Penggunaan Aplikasi Brimo by Zanwar Yoga Pamungkas, Adithya Sudiarno

    Published 2022-06-01
    “…Hasil dari penelitian ini yaitu Behavioral Intention pengguna aplikasi BRImo secara signifikan dan positif dipengaruhi oleh Performance Expextancy, Effort Expectancy dan Social Influence. Sedangkan Use Behavior pengguna aplikasi BRImo secara signifikan dan positif dipengaruhi oleh Facilitating Condition dan Behavioral Intention. …”
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    Article
  6. 46

    Influence Factors Analysis of Provincial Divorce Rate Spatial Distribution in China by Liyun Su, Changhai Liang, Xiaohe Yang, Yang Liu

    Published 2018-01-01
    “…Firstly, the factors of social influence, family cohesion, and ethnic customs are constructed by factor analysis, then the spatial interaction effect of divorce rate in each province is brought into the model, and the spatial regression analysis of these three factors is carried out. …”
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    Article
  7. 47

    Gen Z’s Intention to Accept Mobile Banking Services: The Impact of Digitalization and Technologization by Gyan Mani Adhikari, Sushil Lamichane, Devendra Parajuli, Ganesh Bhattarai

    Published 2024-12-01
    “…The study offers vital insights to regulators, policymakers, providers of Fintech services, and BFIs as they should prioritize building customer trust, emphasizing usefulness and social influence when developing mobile banking platforms.…”
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    Article
  8. 48

    Mental health and socio-cognitive predictors of adherence to COVID-19 social distancing rules in adolescents in England by Giacomo Bignardi, Saz P. Ahmed, Marc Bennett, Darren Dunning, Kirsty Griffiths, Jovita T. Leung, Ashok Sakhardande, Blanca Piera Pi-Sunyer, Willem Kuyken, Tim Dalgleish, Sarah-Jayne Blakemore

    Published 2025-01-01
    “…These findings have implications for understanding how adolescents comply with public health guidelines, highlighting the role of social influence and peer norms.…”
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    Article
  9. 49

    Understanding the adoption intention of financial data retrieval services: An empirical analysis of my data by Eunchan Kim, Yeunwoong Kyung

    Published 2025-01-01
    “…The results indicate that the three sub-factors of My Data service characteristics—system quality, information quality, and service quality have significant effects on perceived benefit, perceived sacrifice, performance expectancy, effort expectancy, social influence, facilitating conditions, and adoption intention. …”
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    Article
  10. 50

    Blockchain adoption factors by Carlos Bernardino, Francisco Cesário, Carlos J. Costa, Manuela Aparicio, João Tiago Aparicio

    Published 2025-01-01
    “…Our analysis reveals that Performance Expectancy and Social Influence positively affect the intention to adopt blockchain, indicating that perceived effectiveness and peer support drive adoption. …”
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    Article
  11. 51

    Unlocking engagement: exploring the drivers of elderly participation in digital backfeeding through community education by Sijie Sun

    Published 2025-02-01
    “…Using an integrated framework of the UTAUT, TTF, and TAM models, the research surveyed 482 elderly participants in community centers in Taiyuan, China, focusing on variables such as task and technology characteristics, social influence, facilitating conditions, perceived usefulness, ease of use, and technology anxiety. …”
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    Article
  12. 52

    Acceptance of artificial intelligence clinical assistant decision support system to prevent and control venous thromboembolism among healthcare workers: an extend Unified Theory of... by Jingxian Wang, Yun Zhou, Yun Zhou, Kai Tan, Zhigang Yu, You Li

    Published 2025-02-01
    “…In addition, Social influence positively influenced performance expectancy (β = 0.52, P < 0.001), and information quality positively influenced system quality (β = 0.65, P < 0.001). …”
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    Article
  13. 53

    Personal, environmental and behavioral predictors associated with online fraud victimization among adults. by Vimala Balakrishnan, Umayma Ahhmed, Faris Basheer

    Published 2025-01-01
    “…<h4>Implications</h4>The emergence of Overconfidence and Social Influence as significant predictors can guide the development of targeted online fraud awareness campaigns and/or tools emphasizing critical thinking and skepticism. …”
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    Article
  14. 54

    Faktor-faktor yang Memengaruhi Kesuksesan E-Learning dengan Model UTAUT di Kementerian Keuangan by Bambang Sancoko, Hasan Ashari

    Published 2023-04-01
    “…The results of calculating the t-statistics of variables that are greater than t-table are the expectation of effort 2.67; social influence 3.8; and behavioral intentions 4,715. …”
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    Article
  15. 55

    PREDICTING RURAL STEM TEACHERS’ ACCEPTANCE OF MOBILE LEARNING IN THE FOURTH INDUSTRIAL REVOLUTION by David Mutambara, Anass Bayaga

    Published 2020-12-01
    “…This study proposes a model, which extends the Technology Acceptance Model by introducing perceived social influence and perceived resources. Stratified random sampling was used to select 150 teachers to participate in the survey. …”
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    Article
  16. 56

    Prolonged visual perceptual changes induced by short-term dyadic training: The roles of confidence and autistic traits in social learning by Bin Zhan, Yujie Chen, Rui Wang, Yi Jiang

    Published 2025-02-01
    “…However, whether social influence can directly impact our visual perceptual experience remains debated. …”
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    Article
  17. 57

    Driving sustainable energy transition: Understanding residential rooftop solar photovoltaic adoption in Malaysia through a behavioural analysis by Sook-Theng Lam, Kian-Meng Yap, Keat-Hoe Yeoh

    Published 2025-06-01
    “…However, qualitative findings reveal that Social Influence plays a significant role in shaping BI, highlighting the importance of peer recommendations and community perceptions. …”
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    Article
  18. 58

    Value-based adoption of MDS:an empirical investigation by ZHOU Yi1, MENG Wei-dong1, DU Hui-ying2, WU Ping-yao2

    Published 2008-01-01
    “…The influence factors of customers’ behavioral intention,and constructs the regression model for the influence factors of customers behavioral intention of mobile data services(VAMDS) was analyzed.China mobile users of ease-own,GoTone and M-zone are chosen as our random surveys in Beijing,Nanjing and Chongqing.That the top three most important factors of customers behavioral intention of MDS are price,usefulness and social influence,and the security for customers’ behavioral intention validated by overseas scholars isn’t supported in the main MDS in China now.…”
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    Article
  19. 59

    Research on a combining algorithm for harassing calls to identify by Yanqing WANG, Hanchen WANG

    Published 2017-07-01
    “…At present,people’s daily life has been seriously affected by an endless stream of harassing calls.To prevent the adverse social influence,a harassing calls recognition method based on the analysis of users’ feedbacks was proposed,which could make people look insight into the features of harassing calls by data mining.Also,the random forest algorithm was applied to identify the suspected harassment numbers.In this way,the recognition rate of harassment source has been enhanced greatly,and a comprehensive control in harassing calls can be achieved by integrating the portable interceptor.Simulation results also show its good performance.…”
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    Article
  20. 60

    Cinéma et urbanité à Tunis sous le protectorat français by Morgan Corriou

    Published 2015-06-01
    “…But neither the social influence of the local cinema nor the symbolic frontiers dividing the city could confine movie lovers. …”
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