Page 336 - 《软件学报》2024年第4期

软件学报 ISSN 1000-9825, CODEN RUXUEW E-mail: jos@iscas.ac.cn
Journal of Software,2024,35(4):1914−1933 [doi: 10.13328/j.cnki.jos.006838] http://www.jos.org.cn
©中国科学院软件研究所版权所有. Tel: +86-10-62562563

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HAO 打卡系统: 以组织智能成就智能组织

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

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)
通信作者: 吴信东, E-mail: xwu@hfut.edu.cn

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
中图法分类号: TP18

中文引用格式: 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. http://www.jos.org.cn/1000-9825/6838.htm
英文引用格式: Wu XD, Zhu XY, Dong BB, Ji SW, Bu CY. HAO Attendance System: Building Intelligent Organizations with
Organizational Intelligence. Ruan Jian Xue Bao/Journal of Software, 2024, 35(4): 1914–1933 (in Chinese). http://www.jos.org.cn/1000-
9825/6838.htm

HAO Attendance System: Building Intelligent Organizations with Organizational Intelligence

WU Xin-Dong 1,2,3 , ZHU Xiao-Yu 1,2,3 , DONG Bing-Bing 1,2,3 , JI Sheng-Wei 1,2,3 , BU Chen-Yang 1,2,3
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)
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

* 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)
收稿时间: 2022-08-01; 修改时间: 2022-09-12, 2022-10-28; 采用时间: 2022-11-17; jos 在线出版时间: 2023-09-20
CNKI 网络首发时间: 2023-09-21