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A Method of Predicting Service Time Based on Voice of Customer Data
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 Title & Authors
A Method of Predicting Service Time Based on Voice of Customer Data
Kim, Jeonghun; Kwon, Ohbyung;
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 Abstract
With the advent of text analytics, VOC (Voice of Customer) data become an important resource which provides the managers and marketing practitioners with consumer`s veiled opinion and requirements. In other words, making relevant use of VOC data potentially improves the customer responsiveness and satisfaction, each of which eventually improves business performance. However, unstructured data set such as customers` complaints in VOC data have seldom used in marketing practices such as predicting service time as an index of service quality. Because the VOC data which contains unstructured data is too complicated form. Also that needs convert unstructured data from structure data which difficult process. Hence, this study aims to propose a prediction model to improve the estimation accuracy of the level of customer satisfaction by combining unstructured from textmining with structured data features in VOC. Also the relationship between the unstructured, structured data and service processing time through the regression analysis. Text mining techniques, sentiment analysis, keyword extraction, classification algorithms, decision tree and multiple regression are considered and compared. For the experiment, we used actual VOC data in a company.
 Keywords
Text mining;VOC;Unstructured Data;Sentiment Analysis;Classification Algorithm;
 Language
Korean
 Cited by
 References
1.
Choi, C.H., J.E. Lee, G.S. Park, and J. Na, "Voice of Customer Analysis for Internet Shopping Malls", International Journal of Smart Home, Vol.7, No.5, 2013, 291-304. crossref(new window)

2.
Chow-Chua, C. and R. Komaran, "Managing Service Quality by Combining Voice of the Service Provider and Voice of Their Customers", Managing Service Quality : An International Journal, Vol.12, No.2, 2002, 77-86.

3.
Conway, N. and R.B. Briner, "Unit-Level Linkages Between Employee Commitment to The Organization, Customer Service Delivery and Customer Satisfaction", The International Journal of Human Resource Management, Vol.26, No.16, 2015, 2039-2061. crossref(new window)

4.
Coussement, K. and D.V. Poel, "Integrating The Voice of Customers Through Call Center Emails Into a Decision Support System for Churn Prediction", Information and Management, Vol.45, No.3, 2008, 164-174. crossref(new window)

5.
Garcia-Moya, L., S. Kudama, M.J. Aramburu, and R. Berlanga, "Storing and Analysing Voice of The Market Data in The Corporate Data Warehouse", Information Systems Frontiers, Vol.15, No.3, 2013, 331-349. crossref(new window)

6.
Godbole, S. and S. Roy, "Text to Intelligence : Building and Deploying a Text Mining Solution in The Services Industry for Customer Satisfaction Analysis", IEEE International Conference on Services Computing, Vol.2, 2008, 441-448.

7.
Godbole, S. and S. Roy, "Text Cassification, Business Intelligence, and Interactivity : Automating C-Sat Analysis for Services Industry", In Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, 2008, 911-919.

8.
Hsu, C.H., L.Y. Ouyang, and C.M. Yang, "An Integrated Approach for Defining Bicycle Design Factors with Consideration of Gender Differences", International Journal of Industrial and Systems Engineering, Vol. 19, No.3, 2015, 326-347. crossref(new window)

9.
Kim, D.S., X.S.W. William, M.S. Lim, C. Liu, N.G. Kim, J.Y. Park, J.H. Park, W.Y. Kil, and H.S. Yoon, "A Methodology for Analyzing Public Opinion about Science and Technology Issues Using Text Analysis", Journal of the Korea Society of IT Services, Vol.14, No.3, 2015, 33-48. (김다솜, William Xiu Shun Wong, 임명수, 류신, 김남규, 박준형, 길우영, 윤한술, "텍스트 분석을 활용한 과학기술이슈 여론 분석 방법론", 한국IT서비스학회지, 제14권, 제3호, 2015, 33-48.)

10.
Kim, Y.S. and S.R. Jeong, "Intelligent VOC Analyzing System Using Opinion Mining", Journal of Intelligence and Information Systems, Vol.19, No.3, 2013, 113-125. (김유신, 정승렬, "오피니언 마이닝을 이용한지능형 VOC 분석시스템", 지능정보연구, 제19권, 제3호, 2013, 113-125.) crossref(new window)

11.
Kozinets, R., "The Field Behind The Screen : Using Netnography for Marketing Research in Online Communities", Journal of Marketing Research, Vol.39, No.1, 2002, 61-72. crossref(new window)

12.
Lee, B.J., J.S. Kwon, G.C. Go, and Y.L. Choi, "A Method for Analyzing Web Log of the Hadoop System for Analyzing a Effective Pattern of Web Users", Journal of the Korea Society of IT Services, Vol.13, No.4, 2014, 231-243. (이병주, 권정숙, 고기철, 최용락, "효과적인 웹 사용자의 패턴 분석을 위한 하둡 시스템의 웹 로그 분석 방안", 한국IT서비스학회지, Vol.13, 2014, 231-243.) crossref(new window)

13.
Lee, H., J. Han, and Y. Suh, "Gift or threat? An Examination of Voice of The Customer : The Case of MyStarbucksIdea.com", Electronic Commerce Research and Applications, Vol.13, No.3, 2014, 205-219. crossref(new window)

14.
Lee, S.K., B. Kim, M. Huh, J. Park, S. Kang, S. Cho, and D. Lee, "Knowledge Discovery in Inspection Reports of Marine Structures", Expert Systems with Applications, Vol.41, No.4, 2014, 1153-1167. crossref(new window)

15.
Misopoulos, F., M. Mitic, A. Kapoulas, and C. Karapiperis, "Uncovering Customer Service Experiences with Twitter : The Case of Airline Industry", Management Decision, Vol.52, No.4, 2014, 705-723. crossref(new window)

16.
Oh, C., S. Sasser, and S. Almahmoud, "Social Media Analytics Framework : The Case of Twitter and Super Bowl Ads", Journal of Information Technology Management, Vol.26, No.1, 2015.

17.
Oh, D.S., S.B. Kim, and S.Y. Ryu, "Processes and Methods for Eliciting Software and System Requirements from Users' Opinions in Mobile App", Journal of the Korea Society of IT Services, Vol.13, No.4, 2014, 397-410. (오동석, 김선빈, 류성열, "모바일 앱의 사용자 의견으로부터 소프트웨어 및 시스템 요구사항을 추출하기 위한 프로세스와 방법", 한국IT서비스학회지, 제13권, 제4호, 2014, 397-410.) crossref(new window)

18.
Polpinij, J., "Multilingual Sentient Classification on Large Textual Data. In Big Data and Cloud Computing(BdCloud)", 2014 IEEE Fourth International Conference on IEEE, 2014, 183-188.

19.
Saitoh, Fumiaki, "Visualization of Online Customer Reviews and Evaluations Based on Self-organizing Map", Systems, Man and Cybernetics(SMC), 2014 IEEE International Conference on IEEE, 2014, 176-181.

20.
Shahnaz, F., W.M. Berry, V.P. Pauca, and R.J. Plemmons, "Document Clustering Using Nonnegative Matrix Factorization", Information Processing and Management, Vol.42, No.2, 2006, 373-386. crossref(new window)

21.
Sharma, S. and J. Negi, "Customer Importance Rating of Service Quality Dimensions for Automobile Service", International Journal of Engineering Science and Technology, Vol.6, No.12, 2014, 822.

22.
Subramaniam, L., V. Faruquie, T. Ikbal, S. Godbole, and M.K. Mohania, "Business Intelligence rom Voice of Customer", Data Engineering, IEEE 25th International Conference on IEEE, 2009, 1391-1402.

23.
Wang, K.J., T.C. Chang, and K.S. Chen, "Determining Critical Service Quality from The View of Performance Influence", Total Quality Management and Business Excellence, Vol.26, No.3-4, 2015, 368-384. crossref(new window)

24.
Zakaria, A.F. and S.C. Lim, "A Preliminary Survey on Modeling Customer Requirements from Product Reviews Under Preference Uncertainty", Industrial Engineering and Engineering Management(IEEM), 2014 IEEE International Conference on IEEE, 2014, 1096-1100.