• Journal of Digital Convergence
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• v.19 no.9
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• pp.125-133
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• 2021

This study investigated to explore the broadened concept of the subscription service market and categorize of the subscription market and its consumer behavior. We examined the satisfaction of the service users and the reasons for terminating the subscription. Survey respondents were 443 people in their 20s and 30s, who actively use subscription services. As a result of the survey it was found that users in their 20s were more satisfied with the overall subscription service than those in their 30s, and that user's residential areas were evenly distributed regardless of metropolitan area or non-metropolitan area. As a reason for the cancellation of subscription service: the lower the novelty of subscription, the less personalization tailored to consumer, the lack of feeling self-growth while using the service, and the more termination is made. Our findings have magnified the understanding of consumers behaviors in the age of 20s and 30s of using and terminating subscription service and hopefully be used for future studies of subscription services.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.164-175
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• 2022

The OTT (Over The Top) platform promotes itself as a distinctive competitive advantage in that it allows users to stay on the platform longer and visit more often through a Personalized Recommendation Service. In this study, the characteristics of the Personalized Recommendation Service are divided into three categories: recommendation accuracy, recommendation diversity, and recommendation novelty. Then proposed a research model which affects the usefulness of users to recognize recommendation services by each characteristics and leads to satisfaction of expectations. The result of conducting an online survey of 300 people in their 20s and 30s who subscribe Netflix shows that the perceived usefulness increased when the accuracy, variety, and novelty of Netflix's Recommendation Service were high. It was also confirmed that high perceived usefulness leads to satisfaction of expectations before and after Netflix use. The derived research results can confirm the importance of evaluating the personalized recommendation service in terms of user experience and provide implications for ways to improve the quality of recommendation services.