Earticle

초록

영어

Understanding the dynamic changes in consumer responses after a product launch is essential for effective customer relationship management. While prior studies explored online consumer feedback, few have systematically examined the temporal evolution of consumer emotions and topical focus in product reviews. This study tracks sentiment and topical shifts in consumer reviews of newly launched computer-related devices, using natural language processing on comments from 100 product-review videos. Sentiment peaked within two days, declined steadily through day 14, and stabilized after a minor rebound. Meanwhile, discussion topics shifted from initial enthusiasm to problem-solving and critical evaluation. These emotional and topical transitions were further interpreted through the lens of Expectancy-Disconfirmation Theory (EDT), revealing how evolving consumer expectations shape post-launch sentiment. By integrating sentiment dynamics with topic evolution, the study provides a structured framework for tracking post-launch behavior and contributes to both theoretical understanding and brand management practices.

목차

Abstract
Introduction
Literature Review
Importance of Online Consumer Feedback
Consumer Feedback Research and Its Limitations
Theoretical Perspective: Expectancy-Disconfirmation Theory
Importance of Capturing Temporal Dynamics in Consumer Feedback
Methodology
Data Collection and Preprocessing
Temporal Analysis of Consumer Feedback
Research Validity and Reliability
Result
Sentiment Trends Across Post-Launch Periods
Topic Evolution Across Post-Launch Periods
Conclusion
Theoretical Implications
Practical Implications
Limitations and Future Research
References

저자

• Sungho Cho [ Department of Business Informatics, Business School, Hanyang University ]
• Minsoo Shin [ Department of Business Informatics, Business School, Hanyang University ] Corresponding Author

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