“THEINFLUENCEOFPSYCHOLOGICALMOTIVATIONSANDAI RECOMMENDATIONQUALITYONBINGEWATCHINGBEHAVIORAND EMOTIONALBURNOUTAMONGGENERATIONZOTTUSERS”
| dc.contributor.author | Akter, Mimma | |
| dc.date.accessioned | 2026-07-06T17:05:41Z | |
| dc.date.available | 2026-07-06T17:05:41Z | |
| dc.date.issued | 29-Jun-2025 | |
| dc.description.abstract | The rapid growth of digital streaming platforms has significantly changed the way | |
| dc.description.abstract | people consume entertainment content, especially among younger generations. With | |
| dc.description.abstract | the increasing availability of AI-driven recommendations and on-demand access, | |
| dc.description.abstract | binge-watching has become a dominant behavior among OTT (Over-The-Top) | |
| dc.description.abstract | platform users. The main objective of this study is to investigates the psychological | |
| dc.description.abstract | and technological factors influencing binge-watching behavior and its subsequent | |
| dc.description.abstract | impact on emotional burnout among Generation Z OTT platform users in Bangladesh. | |
| dc.description.abstract | Grounded in the Uses and Gratifications Theory (UGT), the research model integrates | |
| dc.description.abstract | traditional user-driven motives entertainment, escapism, and social influence | |
| dc.description.abstract | alongside a modern system-driven factor, AI recommendation quality, to explore their | |
| dc.description.abstract | direct and indirect effects on binge-watching and emotional outcomes. Using a | |
| dc.description.abstract | quantitative research design, data were collected from 302 valid respondents through | |
| dc.description.abstract | structured online and offline surveys. SmartPLS 4.0 was employed to analyze the | |
| dc.description.abstract | measurement and structural models, testing reliability, validity, and path coefficients. | |
| dc.description.abstract | The results show that entertainment, social influence, and AI recommendation quality | |
| dc.description.abstract | have a significant positive influence on binge-watching behavior. However, escapism | |
| dc.description.abstract | does not show a significant relationship with binge-watching. Most importantly, | |
| dc.description.abstract | binge-watching behavior has a strong and direct impact on emotional burnout, | |
| dc.description.abstract | indicating that excessive content consumption may lead to negative psychological | |
| dc.description.abstract | outcomes. The study contributes both theoretically and practically by bridging | |
| dc.description.abstract | user-centered media theories with algorithmic influence, and by identifying | |
| dc.description.abstract | binge-watching as a central behavioral mechanism linked to digital mental health | |
| dc.description.abstract | concerns. Practical implications include the need for ethical AI design, media literacy | |
| dc.description.abstract | education, and interventions promoting mindful media consumption among young | |
| dc.description.abstract | OTT users. While the study offers significant insights, it acknowledges, limitations | |
| dc.description.abstract | related to sample size, geographic scope, cross-sectional design, and the use of | |
| dc.description.abstract | self-reported online surveys. For future research, it is recommended to expand the | |
| dc.description.abstract | sample across more diverse regions, employ longitudinal or mixed-method | |
| dc.description.abstract | approaches, and explore other relevant psychological or behavioral variables. Data | |
| dc.description.abstract | could also be collected through in-person interviews or paper-based surveys for | |
| dc.description.abstract | broader insight. | |
| dc.identifier.other | http://ar.cou.ac.bd:8080/jspui/handle/123456789/290 | |
| dc.identifier.uri | http://ar.cou.ac.bd:8080/xmlui/handle/123456789/290 | |
| dc.publisher | Comilla University | |
| dc.source | Comilla University Academic Repository | |
| dc.subject | Binge-watching | |
| dc.subject | Over-the-top content (Streaming media) | |
| dc.subject | Generation Z | |
| dc.subject | Psychological aspects | |
| dc.subject | Bangladesh | |
| dc.subject | Artificial intelligence | |
| dc.subject | Digital media--Psychological aspects | |
| dc.title | “THEINFLUENCEOFPSYCHOLOGICALMOTIVATIONSANDAI RECOMMENDATIONQUALITYONBINGEWATCHINGBEHAVIORAND EMOTIONALBURNOUTAMONGGENERATIONZOTTUSERS” |
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