{"title":"探索三个绩效指标与PMI的九个知识领域之间的相互关系,以实现成功的项目管理","authors":"N. Krishnaswamy, A. Selvarasu","doi":"10.2047/ijltfesvol6iss3-1162-1179","DOIUrl":null,"url":null,"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. Keywords - Artifact, Knowledge area, Performance indicator, Performance report, Performance acceptance, Mediator","PeriodicalId":320274,"journal":{"name":"The International Journal of Latest Trends in Finance and Economic Sciences","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring interrelationship between three performance indicators with PMI’s Nine Knowledge Areas for successful Project Management\",\"authors\":\"N. Krishnaswamy, A. Selvarasu\",\"doi\":\"10.2047/ijltfesvol6iss3-1162-1179\",\"DOIUrl\":null,\"url\":null,\"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. Keywords - Artifact, Knowledge area, Performance indicator, Performance report, Performance acceptance, Mediator\",\"PeriodicalId\":320274,\"journal\":{\"name\":\"The International Journal of Latest Trends in Finance and Economic Sciences\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The International Journal of Latest Trends in Finance and Economic Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2047/ijltfesvol6iss3-1162-1179\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Journal of Latest Trends in Finance and Economic Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2047/ijltfesvol6iss3-1162-1179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
软件项目管理的绩效输出是一个重要的研究领域,反映在管理学和组织行为学相关研究的早期文献中。作为对Donna G. Thomas(2009)早期已有知识的持续改进,本研究试图从单纯识别项目管理知识体系Ⓡ中绩效指标与项目知识领域之间的关系,到探索PI-KA、输入工件和绩效输出可交付成果之间及其之外的关系强度。本文提出了一个概念模型,即工件(输入)-过程-知识领域-绩效指标-绩效可交付(输出)模型(Krishnaswamy N. & Selvarasu A., 2014),供本研究进一步探索。该研究采用三角测量法设计,分别对fse、高级项目经理(SPM)和项目经理(PM)之间的研究-受访者互动进行了集中讨论、经验调查和个人/在线调查。我们使用PLS-Regression和PLS-SEM数据建模工具,从artif - pka - pi - performance中发现假设提出的路径在有和没有调节因子的情况下的总效果。研究的重点是确定前三个绩效指标及其PMI的九个知识领域之间的相互关系。关键词:工件,知识领域,绩效指标,绩效报告,绩效验收,中介
Exploring interrelationship between three performance indicators with PMI’s Nine Knowledge Areas for successful Project Management
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. Keywords - Artifact, Knowledge area, Performance indicator, Performance report, Performance acceptance, Mediator