Using Artificial Intelligence (AI) to predict organizational agility

• Published in: PloS one Vol. 18; no. 5; p. e0283066
• Main Authors: Shafiabady, Niusha, Hadjinicolaou, Nick, Din, Fareed Ud, Bhandari, Binayak, Wu, Robert M X, Vakilian, James
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 10.05.2023; Public Library of Science (PLoS)
• Subjects: Artificial Intelligence; Australia; Biology and Life Sciences; Business competition; Competitive advantage; Computer and Information Sciences; Corporate growth; Customer satisfaction; Data analysis; Data collection; Decision making; Engineering and Technology; Environmental scanning; Evaluation; Interdisciplinary aspects; Managers; Modelling; Organizations; Pandemics; Performance enhancement; Physical Sciences; Portfolio management; Project management; Public sector; Questionnaires; Research and Analysis Methods; Research methodology; Sales forecasting; Social Sciences; Strategy; Support vector machines; Technology; Tool use; Work Engagement; Australia
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0283066

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.