A Study on the Analysis of IT-related Occupational Cluster using Big Data

摘要

Many countries and firms are exploiting and utilizing big data for a solution of social problems and creation of jobs, and economic effects. This study is tried to understand trend of IT-related occupational fields by systematic analysis of data and analyzed the most posted IT-related jobs by classification standards. We used Java programming language to analyze IT-related occupational fields and collected FT job data posted on online recruitment web site "Saramin (http://www.saramin.co.kr)". We constructed database by selecting 17,781 refined data. We divided IT-related occupational fields into '1. Developer (Programmer)', '2. Technician', '3. Planner', '4. Designer', '5. Counselor', '6. Operator', '7. etc' and analyzed frequency of jobs posted on online recruitment web site by each field. As results, the most appeared job related to "developer" was software developer. Appearance frequency of web designer was highest among designer jobs. When it comes to "planner", the most appeared thing was online marketing. In case of "operator" and "counselor", those were network administrator and network solution sales respectively. Among "technician" fields, system maintenance was most frequently appeared. Finally, the most appeared job related to "etc." fields was computing job. We introduced crawling work in order to examine IT-related jobs trends. Also, we classified IT-related jobs into 7 fields. Researcher who wants to understand job trend of various fields can use our method and process. Also, we think that the field of vocation research can get a very in depth look from our study.