A5059788539- Digital Marketing and Social Media
- Sharing Economy and Platforms
- Consumer Retail Behavior Studies
- Customer Service Quality and Loyalty
- Behavioral Health and Interventions
- Technology Adoption and User Behaviour
- Digital Platforms and Economics
- Spam and Phishing Detection
- Complex Network Analysis Techniques
- AI in Service Interactions
- Customer churn and segmentation
- Media Influence and Health
- Blockchain Technology Applications and Security
Sungkyunkwan University
2019-2021
This paper investigates whether subscribers (paying viewers) can be identified by their chat messages in live streaming services, Twitch. Collecting data of twenty streamers on Twitch, this study conducts two studies: (i) presenting sentimental differences viewers' between unsubscribers (free and viewers), (ii) employing a set machine learning-based classifiers which attempt to accurately identify subscribers. The results show that the with features provide potentiality paying viewers,...
Purpose Understanding customers' revisiting behavior is highlighted in the field of service industry and emergence online communities has enabled customers to express their prior experience. Thus, purpose this study investigate reviews on an hotel reservation platform, explores postbehaviors from reviews. Design/methodology/approach The authors employ two different approaches compare accuracy predicting post behavior: (1) using several machine learning classifiers based sentimental...
Given that the concept of sharing economy is one widely-employed economic models in our society, users' satisfaction services important academic and industrial research topics for success such services. This study collects online reviews with ratings from Airbnb, representative services, investigates effects following three components user experience: perceived usability, usefulness, affection. Our work compares experience Airbnb between United States Hong Kong. The results multiple linear...