人事档案造假行为,严重侵犯了档案的原始性、真实性、可靠性和完整性,具有一定的社会危害性。结合近些年来曝光的人事档案造假案例,通过运用GONE理论对人事档案造假行为进行分析,其原因既有个人私欲膨胀、利益需要的因子,也有相关部门...人事档案造假行为,严重侵犯了档案的原始性、真实性、可靠性和完整性,具有一定的社会危害性。结合近些年来曝光的人事档案造假案例,通过运用GONE理论对人事档案造假行为进行分析,其原因既有个人私欲膨胀、利益需要的因子,也有相关部门管理松弛、利益输送、监督缺位的因素。针对人事档案造假动因提出防范与治理措施,进一步提高依法管档治档的意识和能力,构建预警防范与常态化监督机制,运用大数据、人工智能等新兴信息技术手段,为整治人事档案造假赋能增效。The originality, authenticity, reliability, and integrity of archives was seriously violated by the behavior of falsifying personnel files, so it did harm to society to some extent. Combined on the exposed cases of falsifying personnel files in recent years, the GONE theory was applied to analyze the behavior of falsifying personnel files. The reasons for this included several factors such as personal desire inflation, interest needs, management looseness, interest transmission, as well as supervision absence by relevant departments. Several measures of prevention and governance were proposed to empower and improve the efficiency in the rectification of personnel files fraud according to the motivation of falsifying personnel files, such as further enhancing the awareness and ability to manage archives in accordance with the law, establishing a warning and prevention mechanism, and normalized supervision mechanism, and employ the emerging technologies including big data and artificial intelligence.展开更多
文摘人事档案造假行为,严重侵犯了档案的原始性、真实性、可靠性和完整性,具有一定的社会危害性。结合近些年来曝光的人事档案造假案例,通过运用GONE理论对人事档案造假行为进行分析,其原因既有个人私欲膨胀、利益需要的因子,也有相关部门管理松弛、利益输送、监督缺位的因素。针对人事档案造假动因提出防范与治理措施,进一步提高依法管档治档的意识和能力,构建预警防范与常态化监督机制,运用大数据、人工智能等新兴信息技术手段,为整治人事档案造假赋能增效。The originality, authenticity, reliability, and integrity of archives was seriously violated by the behavior of falsifying personnel files, so it did harm to society to some extent. Combined on the exposed cases of falsifying personnel files in recent years, the GONE theory was applied to analyze the behavior of falsifying personnel files. The reasons for this included several factors such as personal desire inflation, interest needs, management looseness, interest transmission, as well as supervision absence by relevant departments. Several measures of prevention and governance were proposed to empower and improve the efficiency in the rectification of personnel files fraud according to the motivation of falsifying personnel files, such as further enhancing the awareness and ability to manage archives in accordance with the law, establishing a warning and prevention mechanism, and normalized supervision mechanism, and employ the emerging technologies including big data and artificial intelligence.
