Sezai Tunca
Biographic Data
| ID | 3086491 |
|---|---|
| NAME | Sezai Tunca |
| GIVEN NAMES | Sezai |
| FAMILY NAME | Tunca |
| SIGNATURE | TUNCA S |
| AFFILIATIONS | Alanya University |
| ORCID | 0000-0001-9404-9005 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
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…
The social spectrum
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 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…
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)…
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 …
Navigating parental concerns in children’s engagement with roblox – a multi-method analysis of emotional and thematic patterns across online communities
This study examines how parents engage with and make sense of their children's experiences on Roblox, one of the most widely used online gaming platforms for children. Drawing on Reddit comments from three parenting-related communities (r/Parenting, r/internetparents, and r/roblox), the study employs a multi-method approach that integrates BERTopic for thematic modeling, NRC-based sentiment analysis, and Leximancer for conceptual mapping. The ana…
Exploring visitor sentiment trends at Alanya Cleopatra Beach using natural language processing techniques
Algorithms of emotion
Online communities such as Reddit offer neurodivergent individuals a unique space to express emotions, seek psychosocial support, and negotiate identity outside conventional social constraints. Understanding how these communities articulate and structure emotional discourse is essential for inclusive technology design. This study employed a hybrid natural language processing (NLP) framework that integrates lexicon-based sentiment analysis (VADER)…
Tracing the Evolving Discourse of Sexual Technology
This study explores how public discourse surrounding sexual technology evolves emotionally, thematically, and ethically over time. Drawing on 68,318 Reddit comments collected between 2016 and 2025, we employ a multidimensional framework that integrates thematic drift analysis, sentiment dynamics, and ethical discourse mapping using natural language processing techniques. Our findings reveal a discursive transition from emotionally exploratory the…
Defining Virtual Consumerism Through Content and Sentiment Analyses
This study set out to better understand virtual consumerism (VC) by applying natural language processing (NLP) methods for sentiment and content analyses. A total of 318 articles related to VC were identified on theguardian.com Web site and analyzed by text mining methodology. A thematic, content analysis using the Leximancer program was performed to explore VC as a concept, and its related concepts and concept associations. For the purposes of “…
Tracing the Evolving Discourse of Sexual Technology
This study explores how public discourse surrounding sexual technology evolves emotionally, thematically, and ethically over time. Drawing on 68,318 Reddit comments collected between 2016 and 2025, we employ a multidimensional framework that integrates thematic drift analysis, sentiment dynamics, and ethical discourse mapping using natural language processing techniques. Our findings reveal a discursive transition from emotionally exploratory the…
Defining Virtual Consumerism Through Content and Sentiment Analyses
This study set out to better understand virtual consumerism (VC) by applying natural language processing (NLP) methods for sentiment and content analyses. A total of 318 articles related to VC were identified on theguardian.com Web site and analyzed by text mining methodology. A thematic, content analysis using the Leximancer program was performed to explore VC as a concept, and its related concepts and concept associations. For the purposes of “…
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)…
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 …
Navigating parental concerns in children’s engagement with roblox – a multi-method analysis of emotional and thematic patterns across online communities
This study examines how parents engage with and make sense of their children's experiences on Roblox, one of the most widely used online gaming platforms for children. Drawing on Reddit comments from three parenting-related communities (r/Parenting, r/internetparents, and r/roblox), the study employs a multi-method approach that integrates BERTopic for thematic modeling, NRC-based sentiment analysis, and Leximancer for conceptual mapping. The ana…
Exploring visitor sentiment trends at Alanya Cleopatra Beach using natural language processing techniques
Algorithms of emotion
Online communities such as Reddit offer neurodivergent individuals a unique space to express emotions, seek psychosocial support, and negotiate identity outside conventional social constraints. Understanding how these communities articulate and structure emotional discourse is essential for inclusive technology design. This study employed a hybrid natural language processing (NLP) framework that integrates lexicon-based sentiment analysis (VADER)…
Tracing the Evolving Discourse of Sexual Technology
This study explores how public discourse surrounding sexual technology evolves emotionally, thematically, and ethically over time. Drawing on 68,318 Reddit comments collected between 2016 and 2025, we employ a multidimensional framework that integrates thematic drift analysis, sentiment dynamics, and ethical discourse mapping using natural language processing techniques. Our findings reveal a discursive transition from emotionally exploratory the…
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…
The social spectrum
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 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…
Computer Science (5 works) · Thematic analysis (5 works) · Social media (4 works) · Artificial Intelligence (3 works) · Data science (3 works) · Digital Marketing and Social Media (3 works) · Sentiment analysis (3 works) · Sociology (3 works) · Behavioral pattern (2 works) · Content analysis (2 works)