Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/72138
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Krishnaswamy, N. | - |
dc.contributor.author | Selvarasu, A. | - |
dc.date.accessioned | 2021-03-24T09:05:21Z | - |
dc.date.available | 2021-03-24T09:05:21Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Krishnaswamy N., & Selvarasu A. (2016). Exploring interrelationship between three performance indicators with PMI’s Nine Knowledge Areas for successful Project Management. International Journal of Finance, Insurance and Risk Management, 6(3), 1162-1179. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/72138 | - |
dc.description.abstract | The performance output of software project management is an essential area of study as reflected in the earlier literatures of Management and organizational behaviour related studies. As a continuous improvement to the earlier existing knowledge contributed by Donna G. Thomas (2009), the present study has been attempted from mere identification of relationship between the performance indicators to project knowledge area of PMBOKⓇ, to the exploration of the strength of relationship between and beyond the PI-KA, the input artifacts and performance output deliverable. A conceptual model has been proposed as Artifact (input)-Process-knowledge area-Performance indicator-Performance deliverable (Output) model (Krishnaswamy N. & Selvarasu A., 2014) for further exploration in the present study. The study has been designed with triangulation of researcher-respondent interactions among FSEs, Senior Project Managers (SPM) and Project Managers (PM) with focused discussion, experience survey and personal/online survey, respectively. The PLS-Regression and PLS-SEM data modelling tool has been employed to find the total effect of hypothetically proposed paths from Artifact-PKA-PI-Performance with and without moderators. The focus of the study is aimed at identifying the top three performance indicators and its interrelationship between PMI’s nine knowledge areas. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | ISMASYSTEMS Scientific Research | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Project management -- Case studies | en_GB |
dc.subject | Expert systems (Computer science) | en_GB |
dc.subject | Performance technology -- Case studies | en_GB |
dc.subject | Mediators (Persons) | en_GB |
dc.title | Exploring interrelationship between three performance indicators with PMI’s Nine Knowledge Areas for successful Project Management | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.35808/ijfirm/151 | - |
dc.publication.title | International Journal of Finance, Insurance and Risk Management | en_GB |
Appears in Collections: | Volume 6, Issue 3, 2016 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Exploring interrelationship between three performance indicators with PMI’s Nine Knowledge Areas for successful Project Management.pdf | 1.06 MB | Adobe PDF | View/Open |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.