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DOSKOČIL, R.; LACKO, B.
Original Title
Investigating the Causes of Non-realization of Project Prediction and Proposal of a New Prediction Framework
English Title
Type
WoS Article
Original Abstract
The main goal of the paper is to identify the causes of non-realization of project prediction and to propose a new framework for project prediction. A secondary goal is to explain why the approaches to project prediction used currently do not provide satisfactory results. The research was realised in the form of qualitative research using semi-structured interviews. The findings reveal that the main causes of non-realization of project prediction are follows: there is no methodology that could be practically used; simplified approaches to project prediction usually have low reliability for which reason they are generally unusable; suitable input data and information for project prediction are not available. The main contribution made by the paper is the identification of causes of non-realization of project prediction and the proposal of a new framework for project prediction that respects changing conditions during the lifecycle of the project and changes in the way of thinking in project prediction. A prerequisite for its application is a functioning system of knowledge management in projects, including the realization of post-project analysis.
English abstract
Keywords
Project management; Knowledge management; Project prediction; Finite automata; Markov chains.
Key words in English
Authors
RIV year
2025
Released
22.08.2024
Publisher
Prague University of Economics and Business
Location
Prague, Czech Republic
ISBN
1805-4951
Periodical
Acta Informatica Pragensia
Volume
13
Number
3
State
Czech Republic
Pages from
418
Pages to
432
Pages count
15
URL
https://aip.vse.cz/pdfs/aip/2024/03/05.pdf
Full text in the Digital Library
http://hdl.handle.net/11012/250202
BibTex
@article{BUT189510, author="Radek {Doskočil} and Branislav {Lacko}", title="Investigating the Causes of Non-realization of Project Prediction and Proposal of a New Prediction Framework", journal="Acta Informatica Pragensia", year="2024", volume="13", number="3", pages="418--432", doi="10.18267/j.aip.250", url="https://aip.vse.cz/pdfs/aip/2024/03/05.pdf" }
Documents
AIP_aip-202403-0005