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KUŞCİ, İSMAİL

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KUŞCİ

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İSMAİL

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    Publication
    Mediating role of positivity in the relationship between state anxiety and problematic social media use during the covid-19 pandemic
    (Taylor, 2021-05-12) Arpacı, İbrahim; Karataş, Kasım; Kıran, Fettah; Kuşci, İsmail; Topcu, Ahmet; KUŞCİ, İSMAİL; Bursa Uludağ Üniversitesi/Eğitim Fakültesi/Rehberlik ve Danışmanlık Bölümü; AAM-4356-2020; L-3451-2017
    This study investigated the mediating role of positivity in the relationship between state anxiety and problematic social media use during the COVID-19 pandemic. The Positivity Scale, State-Trait Anxiety Inventory, and Bergen Social Media Addiction Scale were used to collect data from 834 social media users. SEM-based mediation analysis was used to test hypothesized relationships. Results indicated that positivity has a direct negative effect on problematic social media use. Furthermore, the results indicated that state anxiety has a direct negative effect on positivity and state anxiety has a direct positive effect on problematic social media use. Positivity significantly mediates the relationship between state anxiety and problematic social media use.
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    Understanding the social sustainability of the metaverse by integrating UTAUT2 and big five personality traits: A hybrid SEM-ANN approach
    (Elsevier, 2022-09-19) Arpaçi, İbrahim; Karataş, Kasım; Kuşci, İsmail; Al-Emran, Mostafa; KUŞCİ, İSMAİL; Bursa Uludağ Üniversitesi/Eğitim Fakültesi/Rehberlik ve Danışmanlık Bölümü; 0000-0002-2178-8429; AAM-4356-2020
    The Metaverse is an immersive virtual universe where users interact with each other using an avatar. The Metaverse is promised to offer numerous opportunities for many sectors. While the Metaverse promotes the social interaction between users, there is a scarcity of knowledge on what affects its social sustainability. Hence, this research develops a model by integrating the UTAUT2 constructs and big five personality traits to understand the social sustainability of the Metaverse. The model is tested by employing a hybrid covariance-based structural equation modeling (CB-SEM) and artificial neural network (ANN) approach based on collecting data from 446 Metaverse users. The CB-SEM results showed that performance expectancy, social influence, hedonic motivation, price value, habit, agreeableness, neuroticism, and openness significantly impact the social sustainability of the Metaverse, while no significant effect is reported regarding effort expectancy, facilitating conditions, conscientiousness, and extraversion. All these factors explained 80% of the variance in social sustainability. The ANN results showed that habit is the most important factor in predicting social sustainability. Drawing on these findings, the study offers several theoretical contributions and sheds light on several practical implications for developers, designers, and decision-makers promoting the use of the Metaverse.