组织和数字化转型项目:组合和组织构建块的数学模型

Antoine Trad, PhD
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引用次数: 1

摘要

由于许多原因,组织和数字转换项目非常复杂,难以完成,并且它们主要依赖于初始项目的阶段。初始阶段依赖于关键的基于构建块(BB)的重组过程(RP)的成功,知道解绑过程(UP)的成功和提取和精炼的BB池的交付是最重要的阶段。BBs组合起来提供可重复使用的复合BBs (CBB),用于(重新)构建和优化组织单位平台(OUP)。单位优化主要考虑无形目标和非财务目标。企业(ENT) RP是OUP (rpgroup)上的RP序列(或一组),其目标是拆解ENT的:遗留ou的陈旧结构、组织过程、信息系统管理、资源/工件、应用程序/模块、工作模型和组件;转化为动态可重用的cbb,可以在标准化或内部实现(IHI)组织BBs (OBB)中(重新)使用;其中OU是一组obb,不同的OU可以共享obb,因此也可以共享cbb。遗留ou及其子系统的转换需要IHI方法论、领域和技术公共工件标准(MDTCAS),该标准可以映射到现有的bb、cbb和oob。在生成微工件(MA)的过程中,RP可能面临主要的困难,因为ENT的不同的人的简介/文化、系统部件、OU的阻力(OUR)、经理/涉众夸大的财务野心,以及项目有限的时间/预算。在本章中,作者使用CBB的应用整体数学模型(AHMM)的改编版本(AHMM4CBB) (Trad, & kalpiki, 2020a)来支持rpup的可行性,该可行性使用了基于UP的自动精炼过程(ARP)产生的初始阶段的BBs池。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Organizational and Digital Transformation Projects A Mathematical Model for Composite and Organizational Building Blocks
The organizational and digital transformation projects are very complex to finalize, because of many reasons, and they mainly depend on the initial project’s phases. The initial phases depend on the critical Building Blocks (BB) based Reorganizational Process’ (RP) success, knowing that the Unbundling Process (UP) success and the deliverance of pool(s) of extracted and refined BBs, is the most important phase. BBs are combined to offer reusable Composite BBs (CBB), which are used to (re)build and optimize Organization’s Units (OU) Platform (OUP). The optimization of OUs takes into account mainly intangible and non-financial objectives. The Enterprise’s (ENT) RP is a sequence (or a set) of RPs on the OUP (RPOUP), which goal is to disassemble ENT’s: Legacy OUs’ archaic structure(s), Organizational processes, Information system’s administration, Resources/Artefacts, Applications/Modules, Working models, and Components; into dynamic reusable CBBs which can be (re)used in standardized or In-House-Implemented (IHI) Organizational BBs (OBB); where a OU is a set of OBBs and different OUs can share OBBs, and hence CBBs. The conversion of the legacy OUs and their subsystems need an IHI Methodology, Domain, and Technology Common Artefacts Standard (MDTCAS) that maps to existing BBs, CBBs and OOBs. In generating Micro-Artifacts (MA) the RP can face major difficulties because of the ENT’s heterogenous human profiles/cultures, system parts, OU’s Resistances (OUR), managers/stakeholders exaggerated financial ambitions, and project’s limited time/budgets. In this chapter the author uses an adapted version of the Applied Holistic Mathematical Model (AHMM) for CBB (AHMM4CBB) (Trad, & Kalpić, 2020a) to support RPOUP’s feasibility that uses the initial phase’s pool of BBs that result from the Automated Refine Processes (ARP) based UP.
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