Yavuz Selim Balcıoğlu
Dados Biográficos
| ID | 798340 |
|---|---|
| NOME | Yavuz Selim Balcıoğlu |
| PRENOMES | Yavuz Selim |
| SOBRENOME | Balcıoğlu |
| ASSINATURA | BALCIOĞLU Y S |
| AFILIAÇÕES | Doğuş University |
| ORCID | 0000-0001-7138-2972 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 31 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 31 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2024 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Augmented reality interventions in educational neuroscience
Visual Solidarity to Sustained Action
This study examines #BlackLivesMatter hashtag activism on Instagram during the two years following George Floyd’s killing (May 2020-May 2022), investigating how the platform’s visual-centric affordances shaped racial justice discourse. While extensive research has analyzed #BlackLivesMatter on text-dominant platforms, Instagram’s distinctive visual ecology remains understudied despite its significance in contemporary digital activism. Through a m…
Sectoral Heterogeneity in Corporate Biodiversity Disclosure
This study examines sectoral heterogeneity in corporate biodiversity disclosure (CBD) among Chinese listed firms over the period 2001–2023. Drawing on stakeholder, institutional, and resource dependency theories, it investigates how environmental exposure, ownership structures, and market dynamics influence biodiversity risk recognition and disclosure intensity across 19 industries. Based on a longitudinal dataset comprising 57,367 firm‐year obse…
Digital servant leadership and sustainable team performance in IT companies
This study investigates the influence of digital servant leadership (DSL) on sustainable team performance (STP) in information technology (IT) organizations in Turkey, while examining the mediating roles of knowledge sharing and employee well-being in this relationship. Using a quantitative cross-sectional survey design, data were collected from 343 IT professionals across major Turkish cities, including Istanbul, Ankara, Izmir, and Bursa. Confir…
Social media engagement patterns in professional development discourse
The social spectrum
Soil pollution and population health
Soil pollution represents a growing yet often overlooked threat to global public health. This study investigates 3000 soil contamination-related health cases across six continents to examine the spatial, demographic, and systemic patterns of disease severity and exposure. Integrating Environmental Justice Theory and Risk Society Theory, the analysis reveals that soil pollution disproportionately affects marginalized populations particularly child…
Shadows of silenced history
This study analyses three dark tourism sites in Bulgaria linked to the communist-era persecution of the Turkish minority: the Belene labour camp, Ören Village, and Cebel District’s resistance monument. Employing a mixed-methods design visitor experience analysis, semi-structured local interviews, and historical document review it assesses how each site curates traumatic pasts, what visitors learn, and how such narratives might be ethically integr…
Leadership discourses and organizational citizenship behavior in digital publics
Introduction Despite extensive research on organizational citizenship behavior (OCB) and leadership, most studies rely on survey-based self-report methods that are susceptible to social desirability bias and common method variance. Less is known about how OCB-related orientations are discursively signaled in naturally occurring professional digital communication. This study examines the linguistic and thematic construction of OCB-related discours…
Operationalizing brain rot on TikTok through linguistic, structural, and behavioral indicators of low-cognitive-value media content
The golden screen
This article examines how Internet Movie Database (IMDb) operates as a contemporary site of cultural legitimation by analysing its top 1000 highest-rated television episodes between 1975 and 2022. Rather than interpreting ratings as neutral reflections of quality, the study conceptualizes them as outcomes shaped by platform architecture, user participation and evaluative conventions. The findings reveal genre-based asymmetries in recognition, inc…
Digital dread
Social media platforms like TikTok have become central to how contemporary cultures express fear and anxiety, making them vital sites for studying how digital dread takes shape. This study examines how horror narratives and surveillance themes operate within TikTok’s compressed temporal format and algorithmic attention economy. Through quantitative content analysis of 19,382 TikTok videos, we investigate the prevalence, engagement patterns, and a…
From pixels to perceptions
Consumer preferences and satisfaction patterns across food categories
Purpose Consumer satisfaction in food markets varies substantially across product categories, yet a comprehensive understanding of the patterns and their determinants remains limited. This study aims to examine category-specific satisfaction differentials, the influence of health-conscious product attributes and the interaction between demographic and temporal factors shaping food-related preferences. Design/methodology/approach The research is b…
Beyond Competence
This research examines digital citizenship beyond the mere acquisition of technical skills, focusing on three interrelated dimensions: digital competence (the skills and knowledge required to use digital platforms effectively), digital trust (the degree to which individuals feel secure and confident in digital systems), and digital anxiety (the apprehension or stress associated with the use of digital technologies). A survey of 653 residents of K…
Documentary Constructions of Military Leadership Continuity
The metaverse engagement ladder
As blockchain-based metaverse platforms evolve into mature digital economies, understanding user behavior becomes essential for optimizing engagement and sustaining economic activity. This study introduces the metaverse engagement ladder, a novel behavioral framework designed to map user progression across three distinct tiers: new, established, and veteran participants. Drawing on a dataset of 78,600 blockchain transactions from five global regi…
Mapping the Disciplinary Infrastructure
This article conducts a bibliometric analysis of 816 Games and Culture publications (2006–2025) indexed in Scopus to explore how specialized journals shape the institutionalization of interdisciplinary fields. Through citation networks, keyword co-occurrence, authorship, and geographic analyses, it treats the journal as a model of scholarly infrastructure in game studies. Results reveal steady publication growth (from 20 to over 100 articles annu…
Analyzing nomophobia among TikTok users
This study aims to investigate the phenomenon of nomophobia (fear of being without a mobile phone) among TikTok users from various countries. The study analyzes a dataset of TikTok posts from December 2020 to December 2022, employing volume analysis, keyword and latent distribution analysis (LDA), and sentiment analysis. These methods are utilized to explore the dynamics and nuances of discussions related to nomophobia among a global user base Th…
The multidimensional nature of organizational myopia
This study explores organizational myopia by employing a multi-method quantitative approach, including co-word analysis and topic modeling, to map the intellectual landscape and thematic evolution in the field. A dataset of 158 peer-reviewed articles from the Web of Science and Scopus databases was analyzed using co-word analysis to identify key subjects, patterns, and relationships, along with topic modeling via Latent Dirichlet Allocation (LDA)…
Predicting academic performance of students with machine learning
This study investigates the effectiveness of machine learning and deep learning models for early prediction of student performance in higher education institutions. Using the Open University Learning Analytics (OULA) dataset, various models, including Decision Tree, Support Vector Machine, Neural Network, and Ensemble Model, were employed to predict student performance in three categories: Pass/Fail, Close to Fail, and Close to Pass. The Ensemble…
Navigating The Pandemic Online
This study examined how different patterns of social media use during the COVID-19 pandemic affected mental health. We surveyed 479 adults aged 18 to 70 using representative sampling methods. Our analysis identified three groups of social media users: Comprehensive Users (35.1%), who used social media extensively for problem-solving, emotional support, and distraction; Social-Recreational Users (40.9%), who primarily sought emotional support and …
Teleworking Sentiments on X
This research focuses on the use of digital technologies and platforms to give a detailed evaluation of the potential and problems connected with teleworking during the COVID-19 period. We gained insights into the teleworking experience by using user-generated content (UGC) from “X” ( n = 216,485) and used data mining methods such as sentiment analysis, topic modeling, and textual analysis. Based on our research, we determined that there are a to…
Decoding Leadership Through Personality
This study examines how personality traits shape leadership communication on social media outlets by comparing the Twitter/X/X discourse of Donald Trump and Elon Musk. Employing a mixed-methods content analysis of 2,391 original tweets collected between December 2021 to December 2023, natural language processing techniques are integrated—lexical diversity measures, part-of-speech distributions, sentiment analysis, topic modeling—and both closed- …
Exploring the Impact of Work Passion, Emotional Labor, and Psychological Capital on Burnout Syndrome
Burnout syndrome is a prevalent issue in high-stress professional environments, significantly impacting both individual well-being and organizational productivity. This study examines the relationships between work passion, emotional labor, psychological capital, and burnout, providing empirical insights into the mechanisms that influence occupational health. A cross-sectional study was conducted with 537 professionals across various high-pressur…
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Kurumsal Yönetimin Faaliyet Raporlarının Yayınlanma Zamanı Üzerindeki Etkisi
Faaliyet raporları hissedarlar, potansiyel yatırımcılar veya düzenleyiciler gibi çeşitli kullanıcılara bir işletmenin mali performansını ve gelecek beklentileri hakkında genel bir bakış sağlayarak kurumsal bilgilendirme amacı taşıyan önemli araçlar olarak hizmet etmektedir. Kullanıcıların karar alımlarında önemli yardımı olan faaliyet raporları özellikle gelişmekte olan ülkelerde temel bilgi kaynağı olarak kabul edilmektedir. Bu çalışma işletmele…
Firma Özelliklerinin Finansal Raporların Yayınlanma Zamanlamasına Etkisi
Günümüzün globalleşen ekonomisinde zamanında ve doğru finansal raporlamanın önemi her zamankinden daha fazla artmıştır. Bu raporlar, bir şirketin finansal sağlığı ve performansını detaylı olarak ortaya koymakta ve yatırımcılara, kredi sağlayıcılara ve diğer ilgili taraflara bilinçli kararlar almak için kritik bilgiler sunmaktadır. Finansal raporların yayınlanma zamanlamasını belirlerken iyi ve kötü haberlerin ağırlıklarına göre bazı stratejiler b…
The evolutıon of dıgıtal leadershıp
This research paper examines the evolution of digital leadership as portrayed in The New York Times articles from 2020 to 2022, addressing the growing complexities and strategic roles influenced by digital technologies. The study identifies critical issues in digital leadership, including ethical dilemmas, cybersecurity threats, and the digital divide, which pose significant challenges to effective digital governance and strategy implementation. …
K- En Yakın Komşu (KNN) ve MLP Yöntemi ile Hibrit Bir Sistem
Bu araştırmada, k-en yakın komşu (KNN) ve çok katmanlı algılayıcıyı (MLP) birleştiren hibrit bir trafik akışı tahmin yaklaşımı sunuyoruz. Bu model KNN-MLP modeli olarak adlandırmaktadır. Bu yöntemin amacı tahminlerin doğruluğunu arttırmaktır. KNN, çoğunlukla test istasyonuna bağlı olan çevredeki istasyonları seçmek ve trafik akışının mekansal özelliklerini yakalamak için kullanılır. Trafik akışının zamansal değişkenliğini araştırmak için Çok Katm…
Analyzing nomophobia among TikTok users
This study aims to investigate the phenomenon of nomophobia (fear of being without a mobile phone) among TikTok users from various countries. The study analyzes a dataset of TikTok posts from December 2020 to December 2022, employing volume analysis, keyword and latent distribution analysis (LDA), and sentiment analysis. These methods are utilized to explore the dynamics and nuances of discussions related to nomophobia among a global user base Th…
The multidimensional nature of organizational myopia
This study explores organizational myopia by employing a multi-method quantitative approach, including co-word analysis and topic modeling, to map the intellectual landscape and thematic evolution in the field. A dataset of 158 peer-reviewed articles from the Web of Science and Scopus databases was analyzed using co-word analysis to identify key subjects, patterns, and relationships, along with topic modeling via Latent Dirichlet Allocation (LDA)…
Predicting academic performance of students with machine learning
This study investigates the effectiveness of machine learning and deep learning models for early prediction of student performance in higher education institutions. Using the Open University Learning Analytics (OULA) dataset, various models, including Decision Tree, Support Vector Machine, Neural Network, and Ensemble Model, were employed to predict student performance in three categories: Pass/Fail, Close to Fail, and Close to Pass. The Ensemble…
Navigating The Pandemic Online
This study examined how different patterns of social media use during the COVID-19 pandemic affected mental health. We surveyed 479 adults aged 18 to 70 using representative sampling methods. Our analysis identified three groups of social media users: Comprehensive Users (35.1%), who used social media extensively for problem-solving, emotional support, and distraction; Social-Recreational Users (40.9%), who primarily sought emotional support and …
Teleworking Sentiments on X
This research focuses on the use of digital technologies and platforms to give a detailed evaluation of the potential and problems connected with teleworking during the COVID-19 period. We gained insights into the teleworking experience by using user-generated content (UGC) from “X” ( n = 216,485) and used data mining methods such as sentiment analysis, topic modeling, and textual analysis. Based on our research, we determined that there are a to…
Decoding Leadership Through Personality
This study examines how personality traits shape leadership communication on social media outlets by comparing the Twitter/X/X discourse of Donald Trump and Elon Musk. Employing a mixed-methods content analysis of 2,391 original tweets collected between December 2021 to December 2023, natural language processing techniques are integrated—lexical diversity measures, part-of-speech distributions, sentiment analysis, topic modeling—and both closed- …
Exploring the Impact of Work Passion, Emotional Labor, and Psychological Capital on Burnout Syndrome
Burnout syndrome is a prevalent issue in high-stress professional environments, significantly impacting both individual well-being and organizational productivity. This study examines the relationships between work passion, emotional labor, psychological capital, and burnout, providing empirical insights into the mechanisms that influence occupational health. A cross-sectional study was conducted with 537 professionals across various high-pressur…
Shadows of the past
Breaking the Silence
Women's reproductive health has historically been marginalized within professional environments, regarded as a personal matter rather than a collective institutional issue, and predominantly excluded from organizational policies. Notwithstanding the direct influence of biological phenomena such as menstruation, maternity, and menopause on women's occupational experiences, these subjects have frequently been rendered obscured or deemed inappropria…
Augmented reality interventions in educational neuroscience
Visual Solidarity to Sustained Action
This study examines #BlackLivesMatter hashtag activism on Instagram during the two years following George Floyd’s killing (May 2020-May 2022), investigating how the platform’s visual-centric affordances shaped racial justice discourse. While extensive research has analyzed #BlackLivesMatter on text-dominant platforms, Instagram’s distinctive visual ecology remains understudied despite its significance in contemporary digital activism. Through a m…
Sectoral Heterogeneity in Corporate Biodiversity Disclosure
This study examines sectoral heterogeneity in corporate biodiversity disclosure (CBD) among Chinese listed firms over the period 2001–2023. Drawing on stakeholder, institutional, and resource dependency theories, it investigates how environmental exposure, ownership structures, and market dynamics influence biodiversity risk recognition and disclosure intensity across 19 industries. Based on a longitudinal dataset comprising 57,367 firm‐year obse…
Digital servant leadership and sustainable team performance in IT companies
This study investigates the influence of digital servant leadership (DSL) on sustainable team performance (STP) in information technology (IT) organizations in Turkey, while examining the mediating roles of knowledge sharing and employee well-being in this relationship. Using a quantitative cross-sectional survey design, data were collected from 343 IT professionals across major Turkish cities, including Istanbul, Ankara, Izmir, and Bursa. Confir…
Social media engagement patterns in professional development discourse
The social spectrum
Soil pollution and population health
Soil pollution represents a growing yet often overlooked threat to global public health. This study investigates 3000 soil contamination-related health cases across six continents to examine the spatial, demographic, and systemic patterns of disease severity and exposure. Integrating Environmental Justice Theory and Risk Society Theory, the analysis reveals that soil pollution disproportionately affects marginalized populations particularly child…
Shadows of silenced history
This study analyses three dark tourism sites in Bulgaria linked to the communist-era persecution of the Turkish minority: the Belene labour camp, Ören Village, and Cebel District’s resistance monument. Employing a mixed-methods design visitor experience analysis, semi-structured local interviews, and historical document review it assesses how each site curates traumatic pasts, what visitors learn, and how such narratives might be ethically integr…
Leadership discourses and organizational citizenship behavior in digital publics
Introduction Despite extensive research on organizational citizenship behavior (OCB) and leadership, most studies rely on survey-based self-report methods that are susceptible to social desirability bias and common method variance. Less is known about how OCB-related orientations are discursively signaled in naturally occurring professional digital communication. This study examines the linguistic and thematic construction of OCB-related discours…
Operationalizing brain rot on TikTok through linguistic, structural, and behavioral indicators of low-cognitive-value media content
The golden screen
This article examines how Internet Movie Database (IMDb) operates as a contemporary site of cultural legitimation by analysing its top 1000 highest-rated television episodes between 1975 and 2022. Rather than interpreting ratings as neutral reflections of quality, the study conceptualizes them as outcomes shaped by platform architecture, user participation and evaluative conventions. The findings reveal genre-based asymmetries in recognition, inc…
Digital dread
Social media platforms like TikTok have become central to how contemporary cultures express fear and anxiety, making them vital sites for studying how digital dread takes shape. This study examines how horror narratives and surveillance themes operate within TikTok’s compressed temporal format and algorithmic attention economy. Through quantitative content analysis of 19,382 TikTok videos, we investigate the prevalence, engagement patterns, and a…
Psychology (6 obras) · Narrative (5 obras) · Social media (5 obras) · Art (4 obras) · Computer Science (4 obras) · Impact of Technology on Adolescents (4 obras) · Sociology (4 obras) · Thematic analysis (4 obras) · Anxiety (3 obras) · Content analysis (3 obras)