Qualitative Analysis of System Feature Overload Impacting Discontinuous Usage from the Perspective of S-O-R (Stimulus-Organism-Response) Theory
Pages 344 - 350
Abstract
The Social Network Site (SNS) feature continues to be developed so users can quickly spread COVID-19 information. Unfortunately, the number of features or system feature overload can impact discontinuous usage because the feature design makes it difficult for users. Discontinuous usage is a phenomenon that reduces the intensity of SNS use. This research aimed to bring a new system feature overload that leads to discontinuous usage from the perspective of human opinion and behavior. Therefore, the researchers analyzed the role of SNS feature design on discontinuous usage from the perspective of the qualitative Stimulus-Organism-Response (S-O-R) theory. This research was conducted in Indonesia, the country with the largest SNS users, on subjects affected by information overload and SNS exhaustion. The research objective was to comprehend the phenomenon's impact and the driving factors of discontinuous usage. This research had two contributions to understanding the effects of SNS feature design on user behavior. It showed a conceptual model of discontinuous usage related to the driving factors of information overload and SNS exhaustion.
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Index Terms
- Qualitative Analysis of System Feature Overload Impacting Discontinuous Usage from the Perspective of S-O-R (Stimulus-Organism-Response) Theory
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November 2022
398 pages
ISBN:9781450397117
DOI:10.1145/3568231
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Association for Computing Machinery
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Published: 13 January 2023
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- Hibah Penelitian FILKOM
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SIET '22
SIET '22: 7th International Conference on Sustainable Information Engineering and Technology 2022
November 22 - 23, 2022
Malang, Indonesia
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