Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/57056
Title: Using Artificial Intelligence (AI) to predict organizational agility
Contributor(s): Shafiabady, Niusha (author); Hadjinicolaou, Nick (author); Ud Din, Fareed  (author)orcid ; Bhandari, Binayak (author); Wu, Robert M X (author); Vakilian, James (author)
Publication Date: 2023-05-10
Open Access: Yes
DOI: 10.1371/journal.pone.0283066
Handle Link: https://hdl.handle.net/1959.11/57056
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.

Publication Type: Journal Article
Source of Publication: PLOS ONE, 18(5), p. 1-37
Publisher: Public Library of Science
Place of Publication: United States of America
ISSN: 1932-6203
Fields of Research (FoR) 2020: 460199 Applied computing not elsewhere classified
Socio-Economic Objective (SEO) 2020: 220402 Applied computing
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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