| 引用本文: | 吴信东,朱晓宇,董丙冰,嵇圣硙,卜晨阳.HAO打卡系统：以组织智能成就智能组织.软件学报,2024,35(4):1914-1933 |
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| HAO打卡系统：以组织智能成就智能组织 |
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吴信东1,2,3, 朱晓宇1,2,3, 董丙冰1,2,3, 嵇圣硙1,2,3, 卜晨阳1,2,3
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1.大数据知识工程教育部重点实验室 (合肥工业大学), 安徽 合肥 230009;2.合肥工业大学 计算机与信息学院, 安徽 合肥 230601;3.合肥工业大学 大知识科学研究院, 安徽 合肥 230009
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| 摘要: |
| 打卡可能出于私人目的, 没有组织关联, 比如记录个人的旅行日志; 也可能是公事需求, 属于组织考勤的一部分, 有时还会与多个组织关联. 因此, 打卡数据的保存、分享和分析需要精细化管理. HAO打卡是一个移动式轻量级打卡平台, 以个人和组织为两个抓手, 以人类智能(HI)、人工智能(AI)和组织智能(OI)相结合的HAO智能为技术驱动, 构建HAO打卡知识图谱, 通过提出HAO打卡闭环权限管理架构, 并辅以从粗粒度到细粒度的隐私权限管理办法, 在进行精细化考勤管理的同时保护用户的隐私, 从而推动新一代打卡系统的智能化变革. 在组织考勤分析方面, 提出四要素得分法和四要素考勤报表法, 通过打卡数据计算员工考勤得分, 生成精准全面的考勤报表, 为组织提供决策支持, 激发组织和个人的活力, 以组织智能成就智能组织. |
| 关键词: HAO打卡系统 智能考勤 组织智能 决策支持 |
| DOI：10.13328/j.cnki.jos.006838 |
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| 基金项目:国家自然科学基金(62120106008, 91746209)；中央高校基本科研业务费专项资金(JZ2020HGQA0186)；教育部创新团队项目(IRT17R3) |
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| HAO Attendance System: Building Intelligent Organizations with Organizational Intelligence |
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WU Xin-Dong1,2,3, ZHU Xiao-Yu1,2,3, DONG Bing-Bing1,2,3, JI Sheng-Wei1,2,3, BU Chen-Yang1,2,3
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1.Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology), Ministry of Education, Hefei 230009, China;2.School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230601, China;3.Research Institute of Big Knowledge, Hefei University of Technology, Hefei 230009, China
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| Abstract: |
| Attendance may be for private purposes, which is not associated with an organization, such as keeping a personal travel log, or it is for business needs, which is part of organizational attendance and sometimes associated with multiple organizations. Therefore, the recording, sharing, and analysis of attendance data require elaborate management. The HAO attendance system is a lightweight and mobile attendance platform. It takes the user and organization as two starting points and is driven by HAO intelligence consisting of human intelligence (HI), artificial intelligence (AI), and organizational intelligence (OI). This study builds the knowledge graph of the HAO attendance system and puts forward the closed-loop authority management structure of the HAO attendance system, supplemented by the privacy authority management method from coarse-gained to fine-gained level to ensure refined attendance management and protect the users’ privacy, thereby promoting the intelligent transformation of a new-generation attendance system. For organizational attendance analysis, a four-element scoring method and a four-element attendance reporting method are designed to calculate employee attendance scores, generate accurate and comprehensive attendance reports, provide decision-making support for organizations, and inspire the vitality of both organizations and individuals, so as to build intelligent organizations with organizational intelligence. |
| Key words: HAO attendance system intelligent attendance organizational intelligence decision-making support |
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