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Project management information systems (Pmiss): A statistical-based analysis for the evaluation of software packages features

Articolo
Data di Pubblicazione:
2021
Abstract:
Project Managers (PMs) working in competitive markets are finding Project Management Information Systems (PMISs) useful for planning, organizing and controlling projects of varying complexity. A wide variety of PMIS software is available, suitable for projects differing in scope and user needs. This paper identifies the most useful features found in PMISs. An extensive literature review and analysis of commercial software is made to identify the main features of PMISs. After-wards, the list is reduced by a panel of project management experts, and a statistical analysis is performed on data acquired by means of two different surveys. The relative importance of listed features is properly computed, and the interactions between the respondent’s profiles and PMIS features are also investigated by cluster and respondents’ analyses. The paper provides information for researchers and practitioners interested in PMISs packages and their applications. Furthermore, the analyses may help practitioners when choosing a PMIS, and also for developers of PMISs software in understanding user needs.
Tipologia CRIS:
14.a.1 Articolo su rivista
Keywords:
Clustering; Conjoint analysis; Design of Experiment (DoE); Project Management Information System (PMIS); Ranking method; Survey
Elenco autori:
Micale, R.; La Fata, C. M.; Lombardo, A.; La Scalia, G.
Autori di Ateneo:
MICALE Rosa
Link alla scheda completa:
https://iris.unime.it/handle/11570/3224658
Pubblicato in:
APPLIED SCIENCES
Journal
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