The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Consumption of OTT Media Streaming in COVID-19 Lockdown: Insights from PLS Analysis
Open accessAbstract
In light of the current ecosystem of technological advancements in telecommunication and enhanced capability of devices, the present work brings to the fore the changes in consumers’ media consumption. The shift from conventional media to over-the-top (OTT) media, particularly in the lockdown period due to the COVID-19, has resulted in a war between streaming service providers to attract and retain customers. In the light of this change, the present study conducts partial least squares structural equation modeling (PLS-SEM) analysis to examine the impact of two key antecedents, namely, customer engagement (CE) and quality of service experience (QoSE) for their impact on users’ willingness to continue and subscribe (WCS) streaming services in future. The paper also delves into the indirect role of satisfaction and habit in affecting the aforesaid linkages. With the world facing the impact of the pandemic, the implications emerging from the study present an opportunity to the providers of OTT platforms to capitalize on the perceived change to the best of their advantage.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
Oliver, R. L. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700405 · Cited by 14,494
Structural equation models with unobservable variables and measurement error: Algebra and statistics
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800313 · Cited by 13,287
Customer engagement behavior: Theoretical foundations and research directions
van Doorn, J., Lemon, K. N., Mittal, V., Nass, S., Pick, D., Pirner, P., & Verhoef, P. C. (2010) · Journal of Service Research · doi:10.1177/1094670510375599 · Cited by 3,536 · cited 3×
“While majority of these definitions are based on consumer psychology, a few have captured the impact of CE behaviours from a company’s perspective (e.g., Doorn et al., 2010).”
BackgroundResultOuellette, J. A., & Wood, W. (1998) · Psychological Bulletin · doi:10.1037/0033-2909.124.1.54 · Cited by 3,480
Customer engagement: exploring customer relationships beyond purchase.
Vivek, S. D., Beatty, S. E., & Morgan, R. M. (2012) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679200201 · Cited by 2,089
Customer Satisfaction: A Meta-Analysis of the Empirical Evidence
Szymanski, D. M., & Henard, D. H. (2001) · Journal of the Academy of Marketing Science · doi:10.1177/0092070301291002 · Cited by 2,002
Purchase and consumption habits: not necessarily what you intend
Ji, M. F., & Wood, W. (2007) · Journal of Consumer Psychology · doi:10.1016/s1057-7408(07)70037-2 · Cited by 336
Quality of Experience: Advanced Concepts, Applications and Methods
(2014) · T-Labs Series in Telecommunication Services · doi:10.1007/978-3-319-02681-7 · Cited by 155
Cited by
A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields
Ko, H., Lee, S., Park, Y., & Choi, A. (2022) · Electronics · doi:10.3390/electronics11010141 · Cited by 658
Metadata
- Authors
- Gupta, G., & Singharia, K.
- Venue
- Vision: The Journal of Business Perspective
- Publisher
- SAGE Publications
- Published
- 2021-02-01
- Volume
- 25
- Issue
- 1
- Pages
- 36-46
- ISSN
- 0972-2629 (ISSN-L)
- 2249-5304
- OpenAlex
- W3127952664
- Cited by
- 165
- References
- 9
- FWCI
- 25.89
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Consumption of OTT Media Streaming in COVID-19 Lockdown: Insights from PLS Analysis. https://app.cochat.ai/papers/10.1177/0972262921989118
- The paper
- Gupta, G., & Singharia, K. (2021). Consumption of OTT Media Streaming in COVID-19 Lockdown: Insights from PLS Analysis. Vision: The Journal of Business Perspective. https://doi.org/10.1177/0972262921989118
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
