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Irregular Bigdata Analysis and Considerations for Civil Complaint Based on Design Thinking

The Journal of Industrial Distribution & Business / The Journal of Industrial Distribution & Business, (E)2233-5382
2018, v.9 no.8, pp.51-60
https://doi.org/https://doi.org/10.13106/ijidb.2018.vol9.no8.51.
Kim, Tae-Hyung
Park, Byung-Jae
Suh, Eung-Kyo
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Abstract

Purpose - Civil affairs are increasing in various forms, but civil servants who are able to handle them want to reduce the complaints and provide keywords that will help in the future due to their lack of time. While various ideas are presented and implemented as policies in solving civil affairs, there are many cases that are not policies that people can sympathize with. Therefore, it is necessary to analyze the complaints accurately and to present correct solutions to the analyzed civil complaint data. Research design, data, and methodology - We analyzed the complaints data for the last three years and found out how to solve the problems of Yongin City and alleviate the burdens of civil servants. To do this, the Hadoop platform and Design Thinking process were reviewed, and proposed a new process to fuse it. The big data analysis stage focuses on civil complaints - Civil data extraction - Civil data analysis - Categorization of the year by keywords analyzing them and the needs of citizens were identified. In the forecast analysis for deriving insights, - The case of innovation case study - Idea derivation - Idea evaluation - Prototyping - Case analysis stage used. Results - Through this, a creative idea of providing free transportation cards to solve the major issues of construction, apartment, installation, and vehicle problems was discovered. There is a specific problem of how to provide these services to certain areas, but there is a pressing need for a policy that can contribute as much as it can to the citizens who are suffering from various problems at this moment. Conclusions - In the past, there were many cases in which free traffic cards were issued mainly to the elderly or disabled. In other countries, foreign residents of other area visit the areas for accommodation, and may give out free transportation cards as well. In this case, the local government will be able to set up a framework to present with a win-win scenario in various ways. It is necessary to reorganize the process in future studies so that the actual solution will be adopted, reduce civil complaints, help establish policies in the future, and be applied in other cities as well.

keywords
Big Data Analysis, Unstructured Data, Design Thinking, Complaint Issue

Reference

1.

Choi, H. O. (2016). Study on Selecting Priority Criteria Utilizing Civil Complaint Data in the Field of Environment and Sanitation. Environmental Policy, 24(2), 45-57.

2.

Chung, E. C., & Kim, E. J. (2014). Development of Creative Design Process Based on Integrated Scenario/Prototyping Model. Design Forum, 44, 417-430.

3.

Halim, R. E. (2013). The Effect of Perception and Attitude Toward Consumer Complaint Behavior. Journal of Distribution Science, 11(9), 17-24.

4.

Kang, M. J., & Lee, S. J. (2014). Abduction and Design Thinking -Theory and Practice of Creative Ideation-. Semiotic Inquiry, 54, 7-35.

5.

Lee, K. E., & Kim, K. Y. (2014). A Study on the Factors of Civil Petitions & Complaints within Public Libraries. Journal of the Korean Society for Libraty and Information Science, 48(3), 281-301.

6.

Lee, K. J., Noh, Y. H., Yoon, S. K., & Cho, Y. S. (2014). Structuring of unstructured big data and visual interpretation. Journal of the Korean Data & Information Science Society, 25(5), 1431-1438.

7.

Lee. S. Y., & Kim, Y. I. (2009). A Study on the establishment of VOC system in compliance with the shift in customer trend. Journal of Distribution Science, 7(2), 89-119.

8.

Lee. S. W., Suh, E. K., & Suh, K. S. (2017). Applying Design Thinking and Design Science to Information System Interface Research. The Journal of Internet Electronic Commerce Research, 17(3), 19-35.

9.

Lee, W. S., & Sohn, S. Y. (2013). Predicting the Pattern of Technology Convergence using Big-Data Technology on Large-Scale Triadic Patents. Proceedings of Fall Conference on Korea Industrial Engineering Society, 1153-1170.

10.

Lee, M. S., & Kim, N. K. (2016). Investigating Dynamic Mutation Process of Issues Using Unstructured Text Analysis. Journal of Intelligent Information System, 22(1), 1-18

11.

Min, J. H., & Bae, J. H. (2015). The Impact of Big Data Investment on Firm Value. Journal of Distribution Science, 13(9), 5-11.

12.

Park, H. J ., Choi, B. K., Nah, Y. W ., & Shin, Y. S. (2015). An Analysis of Environment Complaint Using the Spatial Big Data Mining in Incheon. Journal of the Korean society for Geospatial Information Science, 2015(9), 224-225.

13.

Park. J. K. (2010). An Analysis on the Traffic Problems of the Urban City. The Journal of the Korea Contents Association, 10(12), 254-266.

14.

Park, K. K., & Jung, J. H. (2012). A Study on the Determining Factors of the On-Line Civil Administrative Service into Civil Satisfaction. The Korean Journal of Local Government Studies, 16(4). 419-420.

15.

Song, H. J., Park, K. S., Jung, H. E., & Song, M. (2013). Trend Analysis of Korean Economy in the Economic Literature by text mining techniques. Korea Information Management Community, 8, 47-50.

The Journal of Industrial Distribution & Business