Streaming Services: A Fuzzy Set Qualitative Comparative Analysis to Untangle Service Switching

Millions of subscribers switch back and forth between streaming services. When considering switching from one streaming service to another, subscribers usually compare them side by side and either completely switch to the alternative streaming service or partially switch by using both streaming services. To understand when subscribers engage in complete or partial switching and identify nuanced differences in these switching behaviors, we draw on expectation disconfirmation theory, conducting a mixed methods approach based on interviews (N=44) and a fuzzy set qualitative comparative analysis (N=224). We contribute to switching research by illuminating the different configurations that lead to complete and partial switching, suggesting that relying on the same explanation for these different switching behaviors falls short. While we reveal a unifinal explanation for complete switching, partial switching requires more complex, equifinal explanations. We advance research on streaming services by identifying affordability and perceived content exclusiveness as important constraints for switching behavior in this context.

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Publication Details

Journal
ACM SIGMIS Database the DATABASE for Advances in Information Systems
Published
2026-02-04
DOI
https://doi.org/10.1145/3796972.3796978
Primary Topic
Qualitative Comparative Analysis Research
Type
article
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article

Streaming Services: A Fuzzy Set Qualitative Comparative Analysis to Untangle Service Switching

Marco Meier, Weitzel, Lea Reis, Christian Maier
ACM SIGMIS Database the DATABASE for Advances in Information Systems
Qualitative Comparative Analysis Research
article

Streaming Services: A Fuzzy Set Qualitative Comparative Analysis to Untangle Service Switching

Marco Meier, Weitzel, Lea Reis, Christian Maier
article en

Abstract

Millions of subscribers switch back and forth between streaming services. When considering switching from one streaming service to another, subscribers usually compare them side by side and either completely switch to the alternative streaming service or partially switch by using both streaming services. To understand when subscribers engage in complete or partial switching and identify nuanced differences in these switching behaviors, we draw on expectation disconfirmation theory, conducting a mixed methods approach based on interviews (N=44) and a fuzzy set qualitative comparative analysis (N=224). We contribute to switching research by illuminating the different configurations that lead to complete and partial switching, suggesting that relying on the same explanation for these different switching behaviors falls short. While we reveal a unifinal explanation for complete switching, partial switching requires more complex, equifinal explanations. We advance research on streaming services by identifying affordability and perceived content exclusiveness as important constraints for switching behavior in this context.

ACM SIGMIS Database the DATABASE for Advances in Information SystemsVol. 57(1)
University of Bamberg (DE)
Openalex Percentile: Top 67%
Qualitative Comparative Analysis Research
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Streaming Services: A Fuzzy Set Qualitative Comparative Analysis to Untangle Service Switching — Marco Meier, Weitzel, et al. · ACM SIGMIS Database the DATABASE for Advances in Information Systems (2026) | TGRS Research Map | TGRS