Skip to content

Determinants of Consumer Choice among OTT Streaming Platforms: An Empirical Study

Oct 2026 · International Journal of Education Modern Management Applied Science & Social Science
Legal Systems and Institutions

Abstract

The dynamic rise of Over-The-Top (OTT) streaming platforms has significantly influenced the way in which customers interact with entertainment material. The current research aims to investigate the factors that influence customers’ choices between different OTC platforms. Specifically, the study examines such variables as Content variety, Subscription price, Exclusive content, Streaming quality, Regional content, Recommendations, and User Interface. The data was collected from 155 respondents who completed the questionnaire. Each item was measured on a five-point Likert scale. The data was analyzed using IBM SPSS Statistics software. In order to answer the research question, Percentage analysis, Reliability Analysis, Chi-Square test, Pearson Correlation analysis, and Multiple Linear Regression were performed. The results of the analysis revealed that all variables possess a satisfactory level of reliability as the Cronach Alpha is 0.601. The analysis revealed that Streaming quality (M=3.81), Subscription price (M=3.76) are the most influential factors and the least influential one is Exclusive content (M=3.46). Both Chi-Square and Correlation tests indicate that no variables are correlated with consumer satisfaction. The regression analysis revealed that the variables account for only 5.7% of variance in satisfaction levels (R² = 0.057, p = 0.275). Overall, the study reveals that companies could increase customer satisfaction levels by providing high-quality materials and offering competitive prices.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54
#computer vision Review Mar 2008

Agile methods in European embedded software development organisations: a survey on the actual use and usefulness of Extreme Programming and Scrum

The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.

O. Salo, P. Abrahamsson · 238 citations · ⚡9
#computer vision Open access Jul 2017

What happens when software developers are (un)happy

Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 236 citations · ⚡13
#computer vision Open access Oct 2004

Mobile-D: an agile approach for mobile application development

The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.

P. Abrahamsson, Antti Hanhineva, H. Hulkko et al. · 225 citations · ⚡18

Related blog posts

Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.