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43. Development of the KRIVET Occupation Prospect Index (2009)
Yun-Kyoung Jung, Sang-Geun Han, Hea-Jung Chang, Na-Ra Kim 1. Introduction
The unemployment rate among the rising generation and the anxiety and insecurity in relation to occupations among the elderly are becoming aggravated as the ratio of casual workers (non-regular workers) increases, as a result of the worldwide economic crisis. The nation needs information regarding more secure occupations, and promising occupations in a future world of work that is unpredictable, as employment quality worsens. For this reason, and to develop a pathway for the nation, we are willing to provide the output of the Occupation Prospect Index to help strengthen the relationship between education and work, an important component of information about the economy, so that people may approach changes in work more actively and effectively.
The following outlines our research methods. First is the comparative analysis of the actual statistical data of the 2007-2008 KRIVET Occupation Prospect Index results. The second is an analysis of national and international studies and statistical data related to the evaluation field and item details of the Occupation Prospect Index. The third is specialist survey data for the additive computation of the evaluation field and item details of the index along with the Occupation Prospect Index survey after 2007, from among all those occupations that belong to the major industries of manufacturing, construction, science, and engineering. The fourth calculates each index based on a synthesis prospect index and field prospect index to identify promising occupations or promising occupations for the aged/woman. Then, based on the research results from all of the above, we will present a long-term strategic plan and outline the policy
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implications of the Occupation Prospect Index.
Based on the basic research of 2006, this research project consists of the category of the Occupation Prospect Index. For Occupation Prospect Index computation of weight, we researched a Delphi-survey of 58 specialists and the Occupation Prospect Index, consisting of seven evaluation items as follows: ? compensation - earnings and benefits; ?employment conditions - job creation, job growth, and job competition; ?employment stability - full-time employment and job retention; ? career growth prospects - self-development, promotion, and possibility of job change; ? working conditions - working hours, physical environment, stress; ? professionalism - expert knowledge, autonomy, authority, social reputation, community service, and spirit of a calling; ?employment equality - gender equality, elder-friendliness. Finally, employees of 140 among 152 jobs in the manufacturing and construction industries carried out the survey.
2. Main Findings
1) Occupation Prospect Index of the present
By using the survey results for current occupation prospects, IT related occupations showed the highest prospects in 9 occupations in the middle group of KECO, followed by chemistry related occupations, and electricity and electronics related occupations. Looking into the Occupation Prospect Index of seven evaluation items by grade, IT related occupations showed the highest prospects in terms of compensation, employment stability, career growth prospects, and professionalism, followed by electricity and electronics related occupations.
2) Occupation Prospect Index for the next 10 years
According to the occupation prospects for the next 10 years, IT related occupations showed the highest prospects, followed by machine related
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occupations, chemistry related occupations, food processing related occupations, and electricity and electronics related occupations in 9 occupations in the middle group of KECO.
3) Change of occupation prospects between the present and over the next 10 years
The analysisof the correlation between the present Occupation Prospect Index and that for over the next 10 years revealed a strong correlation.
This means that the structure of occupations for the present will remain for the following 10 years. We analyzed the general change of the Occupation Prospect Index (index for the next 10 years - index of the present) and have forecast that food processing related occupations will generally improve.
Prospective occupations both for the present and the future included IT related occupations (computer system designer/analyst, system software developer, database manager, computer security specialist, IT consultant, etc), followed by machine related occupations (mechanical engineer, mechanical engineer, automatic assembly-line and industrial robot operator, aircraft and ship assembly inspector, etc, excluding welder).
Occupations with a gloomy outlook in both the present and the future included construction related occupations (steel worker, concrete worker, stonemason, cement masons, bricklayer plasterer, painter, construction and mining related worker, etc), footwear manufacturing related operator, textile and clothing related occupations, production related worker, packers, sash persons.
3. Policy and Prospects
The study of occupational prospects should be maintained to provide achievements in the computation and research of the Occupation Prospect Index. In this context, the following outlines the policy direction and
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prospects, along with a proposal for improvements that we present.
There should be bolder policy measures for on-the-training and management systems among craft workers in the construction industry, and for occupations in the science and engineering industry. Public awareness and new education should be strengthened as regards to policy. Also, to generate statistics on occupational prospects, overall ministries and offices should help form a cooperative system partnership with us.
The aim is to establish a plan for long-term research on occupational prospects, and to build a system to promote the utilization of the Occupation Prospect Index. The plan for the occupation prospect research should be to maintain the research for a two-year period, organizing a squad who will take full charge of the Occupation Prospect Index, and to establish a cooperative system that helps stabilize existing statistical data.
Also, along with the occupation prospect index, diverse research themes associated with this index will be carried out. To build a system that improves the efficiency of the Occupation Prospect Index, it is necessary that an occupation prospect information system be established for the public, as well as an index automation estimation system.
