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    정부의 데이터 중심(data-driven) 채용 거버넌스 구축에 대한 시론적 연구: 미국 연방정부 사례를 중심으로 = An Exploratory Study on the Establishment of Data-driven Hiring Governance in the Government Sector: Focusing on the Case of the U.S. Federal Government

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    https://www.riss.kr/link?id=A109036790

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Due to changes in the administrative environment such as digital transformation, data-driven human resource management has been receiving global attention.
    Accordingly, our study examined the U.S. federal government's data-driven hiring governance with respect to data-driven hiring infrastructure(data-driven hiring legal system and operational infrastructure), data-driven hiring propulsion system(data-driven hiring public-private partnerships, inter-ministerial collaboration, and operating system), and data-driven hiring follow-up management(data-driven hiringt performance management). As a result of the case analysis, the U.S. federal government enacted Federal Data Strategy, which is a top-level plan, to establish effective data-driven hiring governance, and was preparing a mid- to long-term action plan for federal government data management accordingly. It has been operating an integrated hiring digital platform(USAJOBS) since 1996, and has also been establishing a hiring partnership between OPM and the non-profit Partnership for Public Service since 2002. In addition, the U.S. federal government has established a collaboration system between the CDO Council, OPM, and each federal government agency; established and operated a data-driven hiring organization(Chief Data Officer); expanded the number of data experts(e.g., data scientists, hiring managers); and updated and disclosed regularly data-driven hiring status on the performance management website. The data-driven hiring governance of the U.S. federal government can contribute to establishing a collaborative system in the hiring processes around Korea's central personnel agency, systematically managing the status of data-driven hiring through transparent disclosure of data-driven hiring status, and constructing integrated public sector hiring governance by integrating government sectors and public institutions.
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    Due to changes in the administrative environment such as digital transformation, data-driven human resource management has been receiving global attention. Accordingly, our study examined the U.S. federal government's data-driven hiring governance wit...

    Due to changes in the administrative environment such as digital transformation, data-driven human resource management has been receiving global attention.
    Accordingly, our study examined the U.S. federal government's data-driven hiring governance with respect to data-driven hiring infrastructure(data-driven hiring legal system and operational infrastructure), data-driven hiring propulsion system(data-driven hiring public-private partnerships, inter-ministerial collaboration, and operating system), and data-driven hiring follow-up management(data-driven hiringt performance management). As a result of the case analysis, the U.S. federal government enacted Federal Data Strategy, which is a top-level plan, to establish effective data-driven hiring governance, and was preparing a mid- to long-term action plan for federal government data management accordingly. It has been operating an integrated hiring digital platform(USAJOBS) since 1996, and has also been establishing a hiring partnership between OPM and the non-profit Partnership for Public Service since 2002. In addition, the U.S. federal government has established a collaboration system between the CDO Council, OPM, and each federal government agency; established and operated a data-driven hiring organization(Chief Data Officer); expanded the number of data experts(e.g., data scientists, hiring managers); and updated and disclosed regularly data-driven hiring status on the performance management website. The data-driven hiring governance of the U.S. federal government can contribute to establishing a collaborative system in the hiring processes around Korea's central personnel agency, systematically managing the status of data-driven hiring through transparent disclosure of data-driven hiring status, and constructing integrated public sector hiring governance by integrating government sectors and public institutions.

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    참고문헌 (Reference)

    1 이환우 ; 이새롬 ; 정경철, "채용 전형에서 인공지능 기술 도입이 입사 지원의도에 미치는 영향" 28 (28): 25-52, 2019

    2 서재호, "지방자치단체 공무원의 데이터기반 행정 영향 요인에 대한 탐색적 연구 : 자치구 공무원의 인식조사를 토대로" 23 (23): 445-464, 2020

    3 양은진 ; 김병조, "증거기반정책 연구는 증거가 있는가? : 국내 증거기반정책 연구에 대한 체계적 문헌고찰" 56 (56): 105-136, 2022

    4 한승훈 ; 안혜선, "증거기반 정책의 쟁점과 한국적 맥락에서의 적용 가능성" 30 (30): 289-314, 2021

    5 김영순, "제4차 산업혁명과 초연결사회 그리고 사물인터넷 시대" 17 (17): 14-19, 2019

    6 김정인, "정부조직의 근무환경 디지털 전환 : 디지털 전환 형성 요인과 결과를 중심으로" 34 (34): 29-51, 2022

    7 기획재정부, "잡알리오, 13년만에 전면 개편한다"

    8 남궁현경 ; 김일호 ; 천희란, "서울시 고령자의 정보격차 관련 요인에 관한 연구" 15 (15): 73-80, 2017

    9 김윤권, "미래예견적 국정관리와 정부운영(Ⅲ): 지능형 정부서비스의 지향 가치와 전달체계를 중심으로" 한국행정연구원 2022

    10 김윤권, "미래 예견적 국정관리와 정부 운영(II): 지능형 인사관리" 60-65, 2022

    1 이환우 ; 이새롬 ; 정경철, "채용 전형에서 인공지능 기술 도입이 입사 지원의도에 미치는 영향" 28 (28): 25-52, 2019

    2 서재호, "지방자치단체 공무원의 데이터기반 행정 영향 요인에 대한 탐색적 연구 : 자치구 공무원의 인식조사를 토대로" 23 (23): 445-464, 2020

    3 양은진 ; 김병조, "증거기반정책 연구는 증거가 있는가? : 국내 증거기반정책 연구에 대한 체계적 문헌고찰" 56 (56): 105-136, 2022

    4 한승훈 ; 안혜선, "증거기반 정책의 쟁점과 한국적 맥락에서의 적용 가능성" 30 (30): 289-314, 2021

    5 김영순, "제4차 산업혁명과 초연결사회 그리고 사물인터넷 시대" 17 (17): 14-19, 2019

    6 김정인, "정부조직의 근무환경 디지털 전환 : 디지털 전환 형성 요인과 결과를 중심으로" 34 (34): 29-51, 2022

    7 기획재정부, "잡알리오, 13년만에 전면 개편한다"

    8 남궁현경 ; 김일호 ; 천희란, "서울시 고령자의 정보격차 관련 요인에 관한 연구" 15 (15): 73-80, 2017

    9 김윤권, "미래예견적 국정관리와 정부운영(Ⅲ): 지능형 정부서비스의 지향 가치와 전달체계를 중심으로" 한국행정연구원 2022

    10 김윤권, "미래 예견적 국정관리와 정부 운영(II): 지능형 인사관리" 60-65, 2022

    11 국가법령정보센터, "디지털인사관리규정"

    12 국가법령정보센터, "데이터기반행정 활성화에 관한 법률"

    13 이호준 ; 심현기 ; 윤홍주 ; 길혜지 ; 오혜근 ; 나민주, "데이터기반 지방교육행정의 실행 사례 : 미국 Massachusetts 주의 형평성 제고 정책을 중심으로" 40 (40): 237-264, 2022

    14 선지원, "데이터 기반 행정의 법적 문제" 66 : 107-135, 2021

    15 정성호 ; 전주열, "데이터 기반 행정법과 증거기반 정책결정" 24 (24): 173-191, 2020

    16 고시계사, "공무원 채용기간 단축 등 현안 대응 역량 강화" 65 (65): 213-215, 2020

    17 김정인 ; 이윤석, "공무원 채용과정에서의 실적주의 : 미국과 일본의 공무원 채용제도를 중심으로" 32 (32): 147-170, 2021

    18 "“Call to Serve: Colleges and Universities” Partnership for Public Service"

    19 OPM, "U.S. Office of Personnel Management Data Strategy Fiscal Years 2023–2026"

    20 Broomfield, H., "Towards a Data-Driven Public Administration : An Empirical Analysis of Nascent Phase Implementation" 25 (25): 73-97, 2021

    21 DAMA International, "The DAMA Guide to the Data Management Body of Knowledge" Technics Publications, LLC 2009

    22 Bekken, G., "The Algorithmic Governance of Data Driven-Processing Employment: Evidence-Based Management Practices, Artificial Intelligence Recruiting Software, and Automated Hiring Decisions" 7 (7): 25-30, 2019

    23 OPM, "Strategic Plan Fiscal Years 2022-2026" 2022

    24 OPM, "Promote a Data-Driven Hiring Process. Agency Priority Goal. Action Plan. FY 23–Q3"

    25 GAO, "Priority Open Recommendations: Office of Personnel Management"

    26 김정인, "MZ 세대 공무원의 이직의도 : 한국과 미국 공무원 비교연구" 34 (34): 167-195, 2023

    27 Boon, C., "Integrating Strategic Human Capital and Strategic Human Resource Management" 29 (29): 34-67, 2018

    28 Mcconnell, B., "How to Use Data-Driven Recruitment for Hiring Success"

    29 Lee, M., "How to Respond to the Fourth Industrial Revolution, or the Second Information Technology Revolution? Dynamic New Combinations between Technology, Market, and Society through Open Innovation" 4 (4): 21-, 2018

    30 Bean, R., "How the U.S. Federal Government is Mobilizing to Enable Data-Driven Decision Making"

    31 Bogen, M., "Help Wanted: An Examination of Hiring Algorithms, Equity, and Bias" 2018

    32 Congress, "H.R.4174 - Foundations for Evidence-Based Policymaking Act of 2018"

    33 OPM, "Government-Wide DEIA: Our Progress and Path Forward to Building a Better Workforce for the American People"

    34 "Foundations for Evidence-Based Policymaking Act of 2018"

    35 "Find your next job in data science in the Federal Government"

    36 "Federal Tech Portal"

    37 김정인, "Farrell 모형을 활용한 MZ 세대 공무원들의(불)공정성 인식과 반응행동 : MZ 세대와 기성세대 공무원 비교연구" 30 (30): 141-175, 2021

    38 Dastin, J., "Ethics of data and analytics" Auerbach Publications 296-299, 2022

    39 Zhao, Y., "Embedding Fairness into the AI-Based Talent Recruitment Systems: The Perspective of Environment Cycle and Knowledge Cycle" 15-, 2021

    40 Schmalenbach, K., "Does Data-Driven Recruitment Lead to Less Discrimination? A Technical Perspective" 1649-1664, 2020

    41 Pedreschi, D., "Discrimination-Aware Data Mining" 560-568, 2008

    42 Brubaker, R., "Digital Hyperconnectivity and the Self" 49 : 771-801, 2020

    43 Haneem, F., "Determinants of Master Data Management Adoption by Local Government Organizations : An Empirical Study" 45 : 25-43, 2019

    44 Aldrees, A., "Design, User Experience, and Usability: Design for Diversity, Well-being, and Social Development. HCII 2021. Lecture Notes in Computer Science" 2021

    45 AIHR, "Data-driven recruitment: The Benefits and 5 Best Practices"

    46 Indeed Editorial Team, "Data-Driven Recruiting: Definition, Benefits and How to Use"

    47 Maffei, S., "Data-Driven Anticipatory Governance : Emerging Scenarios in Data for Policy Practices" 3 (3): 123-134, 2020

    48 Kumar, S., "Data Governance: An Approach to Effective Data Management" Satyam Computer Services, Ltd 2008

    49 장경애 ; 김우제, "Data Governance 구성요소 개발과 중요도 분석" 41 (41): 45-58, 2016

    50 Abraham, R., "Data Governance : A Conceptual Framework, Structured Review, and Research Agenda" 49 : 424-438, 2019

    51 Bongard, A., "Automating Talent Acquisition: Smart Recruitment, Predictive Hiring Algorithms, and the Data-Driven Nature of Artificial Intelligence" 7 (7): 36-41, 2019

    52 Faqihi, A., "Artificial Intelligence-Driven Talent Management System : Exploring the Risks and Options for Constructing a Theoretical Foundation" 16 (16): 31-, 2023

    53 Tambe, P., "Artificial Intelligence in Human Resources Management : Challenges and a Path Forward" 61 : 15-42, 2019

    54 Mainka, S. M., "Algorithm-Based Recruiting Technology in the Workplace" 5 (5): 801-822, 2019

    55 손승원 ; 오주연, "AI 채용시스템 도입성과" 7 (7): 137-155, 2023

    56 Fritts, M., "AI Recruitment Algorithms and the Dehumanization Problem" 23 : 791-801, 2021

    57 Du, L., "A Data-Driven Approach to High-Volume Recruitment : Application to Student Admission" 22 (22): 942-957, 2020

    58 인사혁신처, "2024년 주요 정책 추진 계획"

    59 인사혁신처, "2023년 주요업무 추진계획"

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