Earticle

초록

영어

One of the emerging trends in the marketing field is digital video marketing. Online videos offer rich content typically containing more information than any other type of content (e.g., audible or textual content). Accordingly, previous researchers have examined factors influencing videos’ popularity. However, few studies have examined what causes a video to remain popular. Some videos achieve continuous, ongoing popularity, while others fade out quickly. For practitioners, videos at the recommendation slots may serve as strong communication channels, as many potential consumers are exposed to such videos. So,this study will provide practitioners important advice regarding how to choose videos that will survive as long-lasting favorites, allowing them to advertise in a cost-effective manner. Using deep learning techniques, this study extracts text from videos and measured the videos’ tones, including factual and emotional tones. Additionally, we measure the aesthetic score by analyzing the thumbnail images in the data. We then empirically show that the cognitive features of a video, such as the tone of a message and the aesthetic assessment of a thumbnail image, play an important role in determining videos’ long-term popularity. We believe that this is the first study of its kind to examine new factors that aid in ensuring a video remains popular using both deep learning and econometric methodologies.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Literature Review
Ⅲ. Empirical Analysis
3.1. Data Source
3.2. Variable Construction: Aesthetic Score of Thumbnail Image
3.3. Variable Construction: Tones of Videos
3.4. Descriptive Statistics
3.5. Research Methodology
Ⅳ. Empirical Results
4.1. Effects of Videos’ Content Features
4.2 Moderating Effects of Video Types – Utilitarian or Hedonic Videos
Ⅴ. Conclusion
Acknowledgments

키워드

저자

• Min Gyeong Choi [ Master, The School of Management, Kyung Hee University, Korea ]
• Jae Hong Park [ Professor, The School of Management, Kyung Hee University, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Asia Pacific Journal of Information Systems

• 간기

  계간

• pISSN

  2288-5404

• eISSN

  2288-6818

• 수록기간

  1990~2026

• 등재여부

  KCI 등재,SCOPUS

• 십진분류

  KDC 325 DDC 658