국가간 데이터직무 인력 규모 비교 연구Research on Comparing the Size of the Data Workforce Across Countries
- Authors
- 엄혜미
- Issue Date
- Feb-2024
- Publisher
- 한국데이터전략학회
- Keywords
- Data Industry; Data Industry Workforce; Data Job-related Workforce; International Standard Classification of Occupations; ISCO
- Citation
- Journal of Information Technology Applications & Management, v.31, no.1, pp 79 - 95
- Pages
- 17
- Journal Title
- Journal of Information Technology Applications & Management
- Volume
- 31
- Number
- 1
- Start Page
- 79
- End Page
- 95
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/73133
- DOI
- 10.21219/jitam.2024.31.1.079
- ISSN
- 1598-6284
- Abstract
- In modern society, as data plays a crucial role at the levels of businesses, industries, and nations, the utilization of data becomes increasingly important. Consequently, governments are prioritizing the development and implementation of plans to cultivate data workforce, viewing the data industry as a cornerstone of national strategy. To enhance domestic capabilities and nurture workforce in the data industry, it is deemed necessary to conduct an objective comparative analysis with major foreign countries. Therefore, this study aims to analyze cases of domestic and international data industries and explore methods for quantitatively comparing data industry workforce across nations. Initially, the study distinguishes between "data industry workforce" and "data job-related workforce," particularly focusing on professionals handling data-related tasks. Subsequently, it compares the workforce sizes of data job-related workforce across nations, utilizing standardized occupational classification codes based on the International Standard Classification of Occupations(ISCO). However, it should be noted that countries employing their own unique occupational classification systems often require matching job titles with similar meanings for accurate comparison. Through this study, it is anticipated that policymakers will be able to establish future directions for cultivating data workforce based on comparable status.
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Collections - College of Business & Economics > School of Global Knowledge-based Administration > 1. Journal Articles
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