Search results for "PMIS"

showing 3 items of 3 documents

An AHP-based approach to PMISs assessment

2015

The project management environment gets complex and subject to uncertainty. The firm's managers need of tools supporting the decision–making process in order to properly manage project information. PMISs provide features facilitating the project management. The variety of software and the ambiguity of features meaning make the choice of the PMIS a difficult task. The literature analysis confirms the importance of user engagement in features and PMIS assessment and the lack of methodologies satisfying such a task. The paper focuses on the classification and assessment of features of PMIS considering the firm's needs. A case study is presented for the evaluation of a PMISs sample.

Knowledge managementAHPProcess (engineering)Computer scienceStrategy and Managementmedia_common.quotation_subjectproject management information systemPMISinformation systems for business environmentAnalytic hierarchy processSample (statistics)Management Science and Operations ResearchAHP approachanalytic hierarchy proceTask (project management)Management of Technology and InnovationSettore ING-IND/17 - Impianti Industriali MeccaniciBusiness and International ManagementProject managementMCDMmedia_commonsoftware assessmentmultiple criteria decision-makingPMIS assessmentbusiness.industryAmbiguityMultiple-criteria decision analysisVariety (cybernetics)businessInternational Journal of Business Environment
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Application of multi-criteria decision making to PMISs assessment

2014

This paper builds on a previous study concerning the assessment and ranking of Project Management Information Systems (PMISs) features and the comparison of a PMISs software sample. In such an application a Multi-Criteria Decision Making (MCDM) tool such as the Analytic Hierarchy Process (AHP) was adopted to get the ranking by neglecting the mutual influence of elements within the structure. The present paper aims at taking into account such influences by relying on the Analytic Network Process (ANP) for the assessment and ranking of features, while the PMISs software assessment has been performed through the AHP via the direct assessment.

Application of multi-criteria decision making to PMISs assessmentSettore ING-IND/17 - Impianti Industriali Meccanici
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Project Management Information Systems (PMISs): A Statistical-Based Analysis for the Evaluation of Software Packages Features

2021

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. Afterwards, 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 comp…

Clustering; Conjoint analysis; Design of Experiment (DoE); Project Management Information System (PMIS); Ranking method; Surveyranking methodTechnologyComputer scienceQH301-705.5QC1-999SoftwareSettore ING-IND/17 - Impianti Industriali MeccaniciGeneral Materials SciencesurveyProject managementBiology (General)Cluster analysisInstrumentationQD1-999Fluid Flow and Transfer ProcessesCommercial softwareScope (project management)business.industryProcess Chemistry and TechnologyTPhysicsGeneral EngineeringProject Management Information System (PMIS); survey; Design of Experiment (DoE); conjoint analysis; ranking method; clusteringClustering Conjoint analysis Design of Experiment (DoE) Project Management Information System (PMIS) Ranking method SurveyProject Management Information System (PMIS)Engineering (General). Civil engineering (General)Data scienceDesign of Experiment (DoE)Computer Science ApplicationsConjoint analysisVariety (cybernetics)ChemistryRespondentconjoint analysisTA1-2040businessclusteringApplied Sciences; Volume 11; Issue 23; Pages: 11233
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