SNS 리뷰데이터의 활용 :

• 영문명: Utilization of SNS Review Data for a Comparison between Low Cost Carrier and Full Service Carrier
• 발행기관: 한국IT서비스학회
• 저자명: 우미나(Mi na Woo)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제17권 제3호, 1~16쪽, 전체 16쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2018.09.30

영문 초록

There exist a number of studies pertaining to the determinants of customer satisfaction between low-cost and full-service carriers in the airline industry. Most studies measured service quality using SERVQUAL based on a survey method. This study offers a new perspective by employing a big data analytic approach using SNS data, which reflects the immediate response of customers as well as trends in real time. This study chose eight factors from TripAdvisor’s customer review site as determinants of customer satisfaction and compared the differences between low-cost and full-service airlines. The factors analyzed were seat comfort, customer service, cleanliness, food and beverage, legroom, entertainment, value for money, and check-in and boarding. Additionally, ratings from domestic and foreign customers were compared. The findings show that customer service and value for money are significant factors in satisfaction with low-cost airlines while all variables except legroom and entertainment are significant for full-service airlines. The results show that SNS-based data and analysis of big data are important for improving decision-making effectiveness and increasing customer satisfaction in the airline industry.

목차

1. 서 론

2. 이론적 배경

3. 분석방법 및 결과

4. 토의 및 결론

References

키워드

SNS Customer Satisfaction Airline Industry low Cost and Full Service Carrier Online review