Determinants of Gen Z OTT Preferences and Satisfaction: An Econometric Analysis

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Εκδόθηκε σε:IUP Journal of Applied Economics vol. 24, no. 4 (Oct-Dec 2025), p. 56-93
Κύριος συγγραφέας: Veerisetti, Ritika Rao
Έκδοση:
IUP Publications
Θέματα:
Διαθέσιμο Online:Citation/Abstract
Full Text
Full Text - PDF
Ετικέτες: Προσθήκη ετικέτας
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!

MARC

LEADER 00000nab a2200000uu 4500
001 3274989499
003 UK-CbPIL
022 |a 0972-6861 
024 7 |a 10.71329/IUPJAE/2025.24.4.56-92  |2 doi 
035 |a 3274989499 
045 2 |b d20251001  |b d20251231 
084 |a 113920  |2 nlm 
100 1 |a Veerisetti, Ritika Rao  |u Research Scholar, Department of Economics, ICFAI School of Social Sciences, ICFAI Foundation for Higher Education (Deemed to be University u/s 3 of the UGC Act, 1956), Hyderabad, Telangana, India 
245 1 |a Determinants of Gen Z OTT Preferences and Satisfaction: An Econometric Analysis 
260 |b IUP Publications  |c Oct-Dec 2025 
513 |a Journal Article 
520 3 |a The rapid expansion of over-the-top (OTT) video streaming services has transformed content consumption patterns, particularly among digitally literate populations such as college students. This study explores the factors influencing streaming platform preferences and satisfaction levels among Gen Z college students in India. Employing a combination of descriptive statistics, multinomial logit (MNL) and ordered logit (OLOGIT) models, the analysis identifies key determinants of platform choice, including income, bundling strategies, price sensitivity, and regional disparities. The findings suggest that price discrimination, network effects, and behavioral inertia significantly impact subscription decisions, while content diversity and platform usability shape overall satisfaction. The study also highlights the role of peer recommendations, algorithmic content curation, and bundling incentives in consumer retention. The results offer practical insights for streaming platforms seeking to optimize pricing models and content strategies, and policymakers aiming to regulate the rapidly evolving digital entertainment market. 
651 4 |a India 
653 |a Satisfaction 
653 |a Monopolistic competition 
653 |a Consumer behavior 
653 |a Digital literacy 
653 |a Competitive advantage 
653 |a Generation Z 
653 |a Discrimination 
653 |a College students 
653 |a User satisfaction 
653 |a Entertainment 
653 |a Consumption patterns 
653 |a Models 
653 |a Policy making 
653 |a Product differentiation 
653 |a Prices 
653 |a Price elasticity 
653 |a Consumers 
653 |a Streaming services 
653 |a Internet access 
653 |a Student retention 
653 |a Decision making 
653 |a Elasticity of demand 
653 |a Consumption 
653 |a Behavioral economics 
653 |a Preferences 
653 |a Video recordings 
653 |a Subscriptions 
653 |a Algorithms 
653 |a Econometrics 
653 |a Streaming media 
653 |a Statistics 
653 |a Video on demand 
773 0 |t IUP Journal of Applied Economics  |g vol. 24, no. 4 (Oct-Dec 2025), p. 56-93 
786 0 |d ProQuest  |t ABI/INFORM Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3274989499/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3274989499/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3274989499/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch