Using Artificial Intelligence (AI) to predict organizational agility

Author:

Shafiabady NiushaORCID,Hadjinicolaou Nick,Din Fareed UdORCID,Bhandari Binayak,Wu Robert M. X.,Vakilian James

Abstract

Since the pandemic organizations have been required to build agility to manage risks, stakeholder engagement, improve capabilities and maturity levels to deliver on strategy. Not only is there a requirement to improve performance, a focus on employee engagement and increased use of technology have surfaced as important factors to remain competitive in the new world. Consideration of the strategic horizon, strategic foresight and support structures is required to manage critical factors for the formulation, execution and transformation of strategy. Strategic foresight and Artificial Intelligence modelling are ways to predict an organizations future agility and potential through modelling of attributes, characteristics, practices, support structures, maturity levels and other aspects of future change. The application of this can support the development of required new competencies, skills and capabilities, use of tools and develop a culture of adaptation to improve engagement and performance to successfully deliver on strategy. In this paper we apply an Artificial Intelligence model to predict an organizations level of future agility that can be used to proactively make changes to support improving the level of agility. We also explore the barriers and benefits of improved organizational agility. The research data was collected from 44 respondents in public and private Australian industry sectors. These research findings together with findings from previous studies identify practices and characteristics that contribute to organizational agility for success. This paper contributes to the ongoing discourse of these principles, practices, attributes and characteristics that will help overcome some of the barriers for organizations with limited resources to build a framework and culture of agility to deliver on strategy in a changing world.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference61 articles.

1. Transformation through teamwork: the path to the new organization?;S. Drew;Team Performance Management: An International Journal,1997

2. Strategic agility and performance of small and medium enterprises in the phase of Covid-19 pandemic;E. Gerald;International Journal of Financial, Accounting, and Management,2020

3. The necessity of project portfolio management in the construction industry of China mainland;N. Guo;Applied Mechanics and Materials,2013

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. How Does Cost Leadership Strategy Suppress the Performance Benefits of Explainability of AI Applications in Organizations?;Journal of Global Information Management;2024-09-12

2. From Turmoil to Triumph: Does Environmental Uncertainty Matter to Organizational Creativity and Competitive Advantage: The Role of Organizational Agility;International Journal of Hospitality & Tourism Administration;2024-08-08

3. Revealing the role of explainable AI: How does updating AI applications generate agility-driven performance?;International Journal of Information Management;2024-08

4. Generative AI agile assistant;Disruptive Technologies in Information Sciences VIII;2024-06-06

5. AutoML Insights: Gaining Confidence to Operationalize Predictive Models;The New Era of Business Intelligence [Working Title];2024-06-05

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