<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>“THEINFLUENCEOFPSYCHOLOGICALMOTIVATIONSANDAI  RECOMMENDATIONQUALITYONBINGEWATCHINGBEHAVIORAND  EMOTIONALBURNOUTAMONGGENERATIONZOTTUSERS”</title>
<link href="http://ar.cou.ac.bd:8080/xmlui/handle/123456789/289" rel="alternate"/>
<subtitle/>
<id>http://ar.cou.ac.bd:8080/xmlui/handle/123456789/289</id>
<updated>2026-05-28T19:12:20Z</updated>
<dc:date>2026-05-28T19:12:20Z</dc:date>
<entry>
<title>“THEINFLUENCEOFPSYCHOLOGICALMOTIVATIONSANDAI  RECOMMENDATIONQUALITYONBINGEWATCHINGBEHAVIORAND  EMOTIONALBURNOUTAMONGGENERATIONZOTTUSERS”</title>
<link href="http://ar.cou.ac.bd:8080/xmlui/handle/123456789/290" rel="alternate"/>
<author>
<name>Akter, Mimma</name>
</author>
<id>http://ar.cou.ac.bd:8080/xmlui/handle/123456789/290</id>
<updated>2025-08-25T08:53:40Z</updated>
<published>2025-06-29T00:00:00Z</published>
<summary type="text">“THEINFLUENCEOFPSYCHOLOGICALMOTIVATIONSANDAI  RECOMMENDATIONQUALITYONBINGEWATCHINGBEHAVIORAND  EMOTIONALBURNOUTAMONGGENERATIONZOTTUSERS”
Akter, Mimma
The rapid growth of digital streaming platforms has significantly changed the way&#13;
 people consume entertainment content, especially among younger generations. With&#13;
 the increasing availability of AI-driven recommendations and on-demand access,&#13;
 binge-watching has become a dominant behavior among OTT (Over-The-Top)&#13;
 platform users. The main objective of this study is to investigates the psychological&#13;
 and technological factors influencing binge-watching behavior and its subsequent&#13;
 impact on emotional burnout among Generation Z OTT platform users in Bangladesh.&#13;
 Grounded in the Uses and Gratifications Theory (UGT), the research model integrates&#13;
 traditional user-driven motives entertainment, escapism, and social influence&#13;
 alongside a modern system-driven factor, AI recommendation quality, to explore their&#13;
 direct and indirect effects on binge-watching and emotional outcomes. Using a&#13;
 quantitative research design, data were collected from 302 valid respondents through&#13;
 structured online and offline surveys. SmartPLS 4.0 was employed to analyze the&#13;
 measurement and structural models, testing reliability, validity, and path coefficients.&#13;
 The results show that entertainment, social influence, and AI recommendation quality&#13;
 have a significant positive influence on binge-watching behavior. However, escapism&#13;
 does not show a significant relationship with binge-watching. Most importantly,&#13;
 binge-watching behavior has a strong and direct impact on emotional burnout,&#13;
 indicating that excessive content consumption may lead to negative psychological&#13;
 outcomes. The study contributes both theoretically and practically by bridging&#13;
 user-centered media theories with algorithmic influence, and by identifying&#13;
 binge-watching as a central behavioral mechanism linked to digital mental health&#13;
 concerns. Practical implications include the need for ethical AI design, media literacy&#13;
 education, and interventions promoting mindful media consumption among young&#13;
 OTT users. While the study offers significant insights, it acknowledges, limitations&#13;
 related to sample size, geographic scope, cross-sectional design, and the use of&#13;
 self-reported online surveys. For future research, it is recommended to expand the&#13;
 sample across more diverse regions, employ longitudinal or mixed-method&#13;
 approaches, and explore other relevant psychological or behavioral variables. Data&#13;
 could also be collected through in-person interviews or paper-based surveys for&#13;
 broader insight.
</summary>
<dc:date>2025-06-29T00:00:00Z</dc:date>
</entry>
</feed>
