비정형 빅데이터 분석 및 디자인씽킹을 활용한 민원문제 해결에 대한 고찰
Irregular Bigdata Analysis and Considerations for Civil Complaint Based on Design Thinking
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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.
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.
참고문헌 (15)
- 최해옥, "환경·위생분야 민원분석을 통한 정책우선순위 결정에관한 연구", 환경정책, 24(2), pp.45~57 (2016), 한국환경정책학회[DOI]
- 정의철, "통합적 시나리오", 프로토타이핑 모형에 기반한 창의적 디자인 프로세스 제안, 2014, pp.(44), 417~430[DOI]
- Rizal Edy Halim, "The Effect of Perception and Attitude Toward Consumer Complaint Behavior", 유통과학연구, 11(09), pp.17~24 (2013), 한국유통과학회[DOI]
- 강미정, "가추법과 디자인 씽킹 - 창의적 발상의 이론과 실제 -", 기호학 연구, 38, pp.7~35 (2014), 한국기호학회
- 이고은, "공공도서관의 이용자 민원 요인 분석 연구", 한국문헌정보학회지, 48(3), pp.281~301 (2014), 한국문헌정보학회[DOI]
- 이경준, "부산지역 교통관련 기사를 이용한 비정형 빅데이터의 정형화와 시각적 해석", 한국데이터정보과학회지, 25(6), pp.1431~1438 (2014), 한국데이터정보과학회[DOI]
- 이수열, "소비자트렌드 변화에 따른 VOC시스템 구축에 관한 연구", 유통과학연구, 7(2), pp.89~119 (2009), 한국유통과학회[DOI]
- 이성원, "정보시스템 인터페이스 연구에 있어서 디자인 사고와 디자인 과학의 활용", 인터넷전자상거래연구, 17(3), pp.19~35 (2017), 한국인터넷전자상거래학회
- Lee, W. S., "Predicting the Pattern of Technology Convergence using Big-Data Technology on Large-Scale Triadic Patents", Proceedings of Fall Conference on Korea Industrial Engineering Society, pp.1153~1170 (2013)
- 임명수, "비정형 텍스트 분석을 활용한 이슈의 동적 변이과정 고찰", 지능정보연구, 22(1), pp.1~18 (2016), 한국지능정보시스템학회
- 민지홍, "The Impact of Big Data Investment on Firm Value", 유통과학연구, 13(9), pp.5~11 (2015), 한국유통과학회[DOI]
- Park, H. J., "An Analysis of Environment Complaint Using the Spatial Big Data Mining in Incheon", Journal of the Korean society for Geospatial Information Science, 2015(9), pp.224~225 (2015)
- 박종관, "도시 교통문제에 대한 연구 -천안시를 중심으로-", 한국콘텐츠학회 논문지, 10(12), pp.254~266 (2010), 한국콘텐츠학회
- 박기관, "온라인민원행정서비스 시민만족도의 결정요인 분석", 지방정부연구, 16(4), pp.359~380 (2013), 한국지방정부학회
- Song, H. J., "Trend Analysis of Korean Economy in the Economic Literature by text mining techniques", Korea Information Management Community, 8, pp.47~50 (2013)