How Perceived Content Quality Drives User Recommendations in OTT Services?

Purpose - Traditional content providers have been overtaken by over-the-top (OTT) services, which offer streaming video across all devices in an internet environment. However, it is unclear from the available data how user suggestions in OTT Services are influenced by the perceived quality of the material. Objective - This study aims to investigate how perceived content quality drives user recommendations in OTT Services. Methodology - The study uses a primary data collection methodology in which respondents who are frequent users of over-the-top (OTT) services are surveyed. This study examined the relationships between various dimensions, including Recommendation Behaviour (RB), Continuous Intention to Use (CIU), Perceived Content Quality (PCQ), and Perceived Enjoyment (PE), using statistical analysis. Findings - This study found that Perceived Content Quality, Perceived Enjoyment, and Continuous Intention to Use are positively associated with the Recommendation Behaviour of OTT Users. Research Practical and Social Implications - The results further clarify that one of the most effective features of over-the-top (OTT) video streaming technology in gauging a user's persistent intention is content. It gives OTT content makers insightful feedback to help them concentrate more on the requirements and expectations of the user base. Originality/Value - The study’s findings offer a novel perspective for service providers to enhance the Content Quality and Recommendation Behaviour of OTT users.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-07
DOI
https://doi.org/10.5281/zenodo.13922437
Primary Topic
Legal Systems and Institutions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Perceived Content Quality Drives User Recommendations in OTT Services?

Zenodo (CERN European Organization for Nuclear Research)
Legal Systems and Institutions
article

How Perceived Content Quality Drives User Recommendations in OTT Services?

article en

Abstract

Purpose - Traditional content providers have been overtaken by over-the-top (OTT) services, which offer streaming video across all devices in an internet environment. However, it is unclear from the available data how user suggestions in OTT Services are influenced by the perceived quality of the material. Objective - This study aims to investigate how perceived content quality drives user recommendations in OTT Services. Methodology - The study uses a primary data collection methodology in which respondents who are frequent users of over-the-top (OTT) services are surveyed. This study examined the relationships between various dimensions, including Recommendation Behaviour (RB), Continuous Intention to Use (CIU), Perceived Content Quality (PCQ), and Perceived Enjoyment (PE), using statistical analysis. Findings - This study found that Perceived Content Quality, Perceived Enjoyment, and Continuous Intention to Use are positively associated with the Recommendation Behaviour of OTT Users. Research Practical and Social Implications - The results further clarify that one of the most effective features of over-the-top (OTT) video streaming technology in gauging a user's persistent intention is content. It gives OTT content makers insightful feedback to help them concentrate more on the requirements and expectations of the user base. Originality/Value - The study’s findings offer a novel perspective for service providers to enhance the Content Quality and Recommendation Behaviour of OTT users.

Zenodo (CERN European Organization for Nuclear Research)
SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 39%
Legal Systems and Institutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.