Measuring project performance by applying social network analyses

作     者：Marco Nunes António Abreu Jelena Bagnjuk Jörn Tiedtke Marco Nunes;António Abreu;Jelena Bagnjuk;J(o)rn Tiedtke

作者机构：Industrial Engineering Department of University of Beira Interior6201-001CovilhaPortugal Mechanical Engineering Department of Polytechnic Institute of Lisbon1959-007LisbonPortugal CTS Uninova2829-516CaparicaPortugal Project Management DepartmentUKE(University Medical Center Hamburg-Eppendorf)Martinistraße 5220251HamburgGermany Project Management Department Hays&Tetra PakBrandstwiete 120457HamburgGermany 

出 版 物：《International Journal of Innovation Studies》 (国际创新研究学报（英文）)

年 卷 期：2021年第5卷第2期

页      面：35-55页

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

主　　题：Project risk management Social network analysis Project performance Project outcome Project critical success factor Sustainability Innovation 

摘      要：It is often argued that the core of organizational success is efficient *** authors even posit that efficient collaboration is more important to organizational innovation and performance than individual skills or ***,the lack of efficient models to manage collaboration properly is a major constraint for organizations to profit from internal and external collaborative ***,much of the collaboration in organizations occurs through virtual network channels,such as e-mail,Yammer,Jabber,Microsoft Teams,Skype,and *** are even more important in situations where different time zones and even threats of a pandemic constrain face-to-face human *** work introduces a multidisciplinary heuristic model developed based on project risk management and social network analysis centrality metrics graph-theory to quantitatively measure dynamic organizational collaboration in the project environment.A case study illustrates the proposed model’s implementation and application in a real virtual project organizational *** major benefit of applying this proposed model is that it enables organizations to quantitatively measure different collaborative,organizational,and dynamic behavioral patterns,which can later correlate with organizational *** model analyzes three collaborative project dimensions:network collaboration cohesion evolution,network collaboration degree evolution,and network team set variability *** provides organizations an innovative approach to understand and manage possible collaborative project risks that may emerge as projects are *** can use the proposed model to identify projects’critical success factors by comparing successful and unsuccessful delivered projects’dynamic behaviors if a substantial number of both project types are *** proposed model also enables organizations to make decisions with more information regarding the support for changes i