Managing organizational transformation (OT) using complex adaptive system (CAS) framework: future lines of inquiry

Author:

Riaz ShoaibORCID,Morgan DamianORCID,Kimberley Nell

Abstract

PurposeA slew of conventional change models and theories appear in the extant change literature. Despite being theoretically sound, these a priori structured approaches to organizational change management have questionable application given the rapidly changing business environments. Novel approaches, offering greater flexibility to fast changing external conditions, may offer superior models to organizational change and organizational transformation (OT) in particular. In this paper, the application of a complex adaptive system (CAS) framework, from complexity theory (CT), for managing OT is assessed theoretically.Design/methodology/approachA conceptual paper.FindingsA review of the extant change literature suggests that current approaches and models for organizational change are limited in their ability to reflect OT responses to today's highly dynamic external environments. New models are required to inform and guide organizations. A new model, i.e. CAS framework, is deemed suitable to guide the OT implementation.Originality/valueThis paper critically analyses different approaches to change management, consolidates CAS framework, reviews its applications in the field of management and presents a case for CAS's application for the management of OT.

Publisher

Emerald

Subject

Management of Technology and Innovation,Organizational Behavior and Human Resource Management,Strategy and Management,General Decision Sciences

Reference161 articles.

1. Complex adaptive systems theory and firm product innovativeness;Journal of Engineering and Technology Management,2014

2. Achieving organizational resilience through complex adaptive systems approach: a conceptual framework;Management Research,2022

3. Change management through leadership: the mediating role of organizational culture;International Journal of Organizational Analysis,2017

4. Learning, leadership, teams: corporate learning and organisational change;Journal of Management Development,1998

5. COVID-19 and digitalization: the great acceleration;Journal of Business Research,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3