Affiliation:
1. Department of Quantitative Economic Analysis, Faculty of Economics and Business, University of Maribor, 2000 Maribor, Slovenia
2. Department of Information Systems Development, Faculty of Organization and Informatics, University of Zagreb, 10000 Zagreb, Croatia
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.
Funder
Slovenian Research Agency
Reference60 articles.
1. Josyula, S.S., Suresh, M., and Raghu Raman, R. (2021). How to make intelligent automation projects agile? Identification of success factors and an assessment approach. Int. J. Organ. Anal.
2. How project management approach impact project success? From traditional to agile;Lalic;Int. J. Manag. Proj. Bus.,2022
3. Artificial Intelligence and Business Value: A Literature Review;Enholm;Inf. Syst. Front.,2021
4. Agile, traditional, and hybrid approaches to project success: Is hybrid a poor second choice;Gemino;Proj. Manag. J.,2020
5. Analysis of project managers’ leadership competencies: Project success relation: What are the competencies of polish project leaders?;Pichlak;Int. J. Manag. Proj. Bus.,2019
Cited by
4 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