Cargando…

Using Artificial Intelligence (AI) to predict organizational agility

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 s...

Descripción completa

Detalles Bibliográficos
Autores principales: Shafiabady, Niusha, Hadjinicolaou, Nick, Din, Fareed Ud, Bhandari, Binayak, Wu, Robert M. X., Vakilian, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171664/
https://www.ncbi.nlm.nih.gov/pubmed/37163532
http://dx.doi.org/10.1371/journal.pone.0283066
_version_ 1785039470411644928
author Shafiabady, Niusha
Hadjinicolaou, Nick
Din, Fareed Ud
Bhandari, Binayak
Wu, Robert M. X.
Vakilian, James
author_facet Shafiabady, Niusha
Hadjinicolaou, Nick
Din, Fareed Ud
Bhandari, Binayak
Wu, Robert M. X.
Vakilian, James
author_sort Shafiabady, Niusha
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10171664
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-101716642023-05-11 Using Artificial Intelligence (AI) to predict organizational agility Shafiabady, Niusha Hadjinicolaou, Nick Din, Fareed Ud Bhandari, Binayak Wu, Robert M. X. Vakilian, James PLoS One Research Article 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. Public Library of Science 2023-05-10 /pmc/articles/PMC10171664/ /pubmed/37163532 http://dx.doi.org/10.1371/journal.pone.0283066 Text en © 2023 Shafiabady et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Shafiabady, Niusha
Hadjinicolaou, Nick
Din, Fareed Ud
Bhandari, Binayak
Wu, Robert M. X.
Vakilian, James
Using Artificial Intelligence (AI) to predict organizational agility
title Using Artificial Intelligence (AI) to predict organizational agility
title_full Using Artificial Intelligence (AI) to predict organizational agility
title_fullStr Using Artificial Intelligence (AI) to predict organizational agility
title_full_unstemmed Using Artificial Intelligence (AI) to predict organizational agility
title_short Using Artificial Intelligence (AI) to predict organizational agility
title_sort using artificial intelligence (ai) to predict organizational agility
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171664/
https://www.ncbi.nlm.nih.gov/pubmed/37163532
http://dx.doi.org/10.1371/journal.pone.0283066
work_keys_str_mv AT shafiabadyniusha usingartificialintelligenceaitopredictorganizationalagility
AT hadjinicolaounick usingartificialintelligenceaitopredictorganizationalagility
AT dinfareedud usingartificialintelligenceaitopredictorganizationalagility
AT bhandaribinayak usingartificialintelligenceaitopredictorganizationalagility
AT wurobertmx usingartificialintelligenceaitopredictorganizationalagility
AT vakilianjames usingartificialintelligenceaitopredictorganizationalagility