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Title:Artificial intelligence and agility-based model for successful project implementation and company competitiveness
Authors:ID Tominc, Polona (Author)
ID Oreški, Dijana (Author)
ID Rožman, Maja (Author)
Files:.pdf Tominc-2023-Artificial_Intelligence_and_Agilit.pdf (1,68 MB)
MD5: F37C64FCFD3846F89B51EF37C4BB9812
 
URL https://doi.org/10.3390/info14060337
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:EPF - Faculty of Business and Economics
Abstract:The purpose of the paper is to present a model of factors affecting the successful project implementation by introducing agility and artificial intelligence to increase the company’s competitiveness. In the model, the multidimensional constructs describing the implementation of an agile work environment and artificial intelligence technologies and tools were developed. These multidimensional constructs are agile work environment, agile leadership, agile team skills and capabilities, improving the work of the leader in the project, adopting AI technologies in the project, and using AI solutions in a project. Their impact on successful project implementation and on the company competitiveness was tested. The fundamental reason for conducting this research and developing the model is to enhance the understanding of factors that contribute to the successful implementation of projects and to increase a company’s competitiveness. Our developed model encompasses multidimensional constructs that describe the agile work environment and the utilization of AI technologies. By examining the impact of these constructs on both successful project implementation and company competitiveness, we aimed to establish a comprehensive framework that captures the relationship between agility, AI, and successful project implementation. This model serves as a valuable tool for companies seeking to improve their project implementation processes and gain a competitive edge in the market. The research was based on a sample of 473 managers/owners in medium-sized and large companies. Structural equation modeling was used to test the hypotheses. In today’s turbulent environment, the results will help develop guidelines for a successful combination of agile business practices and artificial intelligence to achieve successful project implementation, increasing a company’s competitiveness.
Keywords:artificial intelligence, agile work environment, company competitiveness, project management
Publication status:Published
Publication version:Version of Record
Submitted for review:08.05.2023
Article acceptance date:14.06.2023
Publication date:15.06.2023
Publisher:MDPI
Year of publishing:2023
Number of pages:Str. 1-26
Numbering:Letn. 14, Št. 6, št. članka 337
PID:20.500.12556/DKUM-87728 New window
UDC:331.1
ISSN on article:2078-2489
COBISS.SI-ID:155786499 New window
DOI:10.3390/info14060337 New window
Publication date in DKUM:26.03.2024
Views:492
Downloads:249
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Information
Shortened title:Information
Publisher:MDPI
ISSN:2078-2489
COBISS.SI-ID:18497046 New window

Document is financed by a project

Funder:ARRS - Slovenian Research Agency
Project number:P5-0023
Name:Podjetništvo za inovativno družbo

Funder:HRZZ - Croatian Science Foundation
Project number:UIP-2020-02-6312
Name:SIMON: Intelligent system for automatic selection of machine learning algorithms in social sciences

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:15.06.2023

Secondary language

Language:Slovenian
Keywords:umetna inteligenca, agilno delovno okolje, konkurenčnost podjetja, vodenje projektov


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