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논문검색

A Study on Customer Feedback by VOC Big Data Analysis of for Travel Agencies

초록

영어

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

저자정보

  • Eun-Jee Song Dept. of Computer Science, Namseoul University

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