VOC(Voice of Customer) is a crucial information for any business in determining its management strategies. Thus, most businesses try to enhance their relationship with customers by collecting VOC via a variety of channels including telephone calls, mails, online and offline surveys. However, a great portion of such feedbacks are in the form of atypical data and hard to analyze by conventional methods. In particular, qualitative answers to open-ended questions in a survey are extremely difficult to analyze. The current paper attempts to propose an effective process of analyzing such qualitative VOC big data by utilizing the Buzz monitoring tool. A process of extracting risk factors from the results of such analysis is also presented by conducting a case study for a major travel agency in Korea. The findings are expected to help the agency deal with the complaints from customers and take corrective measures.
목차
Abstract 1. Introduction 2. Related Research 2.1. VOC 2.2. Analysis of Big Data 3. Analysis of VOC Big Data for Travel Agencies 3.1. Design for Analysis 3.2. Extraction of Risk Factors 4. Case Study 5. Conclusions Acknowledgments References
키워드
Travel AgencyCustomer FeedbackSurveyVOC(Voice of Customer)Buzz Monitoring
저자
Eun-Jee Song [ Dept. of Computer Science, Namseoul University ]
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.9 No.7