平行管理:复杂性管理智能的生态科技与智慧管理之DAO

Parallel Management:The DAO to Smart Ecological Technology for Complexity Management Intelligence

本文介绍平行管理的基本原理和框架流程及其核心任务与相应的生态科技:即利用虚实互动、平行驱动以及智能科学与技术,使知识工作可以衡量,并对量化后的知识工作者之社会行为进行以人为本,基于复杂性科学的引导与管理,形成可信、可靠、可用、高效益上DAO(全中心化自主组织及其全中心化自主运行)的可编程智慧管理生态,实现社会可持续性发展.以此为目标,我们提出利用基础模型和学科交叉,融合区块链智能和DeSci及DeSoc等技术,构建管理科学的新范式,推动从管理的案例教学到管理的场景工程建设.我们认为,管理科学与技术的这一变革,必将推动社会从工业向智业形态的加速升华,造福整个人类世界和自然生态.

This paper outlines basic principles,frameworks and processes of parallel management,and its core tasks and corresponding ecological technologies.Our object is using virtual-real interaction,parallel driven,and intelligent science and technology to make knowledge works measurable,to prescribe and manage the quantified social behaviors of knowledge workers in a human-centered and complexity-science-supported approach,and to build a trustworthy,reliable,usable,effective/efficient,and DAO(decentralized autonomous organizations and decentralized autonomous operations)based smart management ecology.Towards this goal,we need a system of intelligent management education that would transform current case studies to future scenarios engineering for management innovation,facilitated by foundation models,interdisciplinary studies,blockchain intelligence,DeSci as well as DeSoc.We believe that such paradigm shift in management science and technology would speed up the transformation of our societies to future smart societies for the benefit of our humankind as well as our natural ecology.