A framework for capturing the hidden stakeholder system

作者: John Wood , Shahram Sarkani , Thomas Mazzuchi , Timothy Eveleigh

DOI: 10.1002/SYS.21224

关键词:

摘要: As programs rise in intricacy and scope, the number of stakeholders involved also increases, often driving an exponential growth program complexity. This complexity is caused by stakeholder relationships which form underlying system that influences all aspects program. Understanding, managing, leveraging this will greatly increase a program's probability success. paper provides framework for capturing series architectural views. These products document concerns illustrate how those interrelate over system's lifecycle. The ultimate objective use resulting to allow right-sized involvement, promote effective resources, overall success with assurance lasting commitment. Additionally, unique insertion Stakeholder Analysis Social Network into Architecture Framework fulfills original intent Framework, entire sociotechnical enterprise system. ©2012 Wiley Periodicals, Inc. Syst Eng 16

参考文章(34)
Rob Cross, Laurence Prusak, The people who make organizations go--or stop. Harvard Business Review. ,vol. 80, pp. 104- 106 ,(2002)
Amihud Hari, Menachem P. Weiss, Joseph E. Kasser, How lessons learned from using QFD led to the evolution of a process for creating quality requirements for complex systems Systems Engineering. ,vol. 10, pp. 45- 63 ,(2007) , 10.1002/SYS.V10:1
Konstantinos V. Katsikopoulos, Don P. Clausing, Rationality in systems engineering: Beyond calculation or political action Systems Engineering. ,vol. 11, pp. 309- 328 ,(2008) , 10.1002/SYS.V11:4
George Friedman, Andrew P. Sage, Case studies of systems engineering and management in systems acquisition Systems Engineering. ,vol. 7, pp. 84- 97 ,(2004) , 10.1002/SYS.10057
Stephen P. Borgatti, Shawn T. Collins, Ali A. Yassine, Evaluating product development systems using network analysis Systems Engineering. ,vol. 12, pp. 55- 68 ,(2009) , 10.1002/SYS.V12:1
Christina Prell, Klaus Hubacek, Mark Reed, Stakeholder Analysis and Social Network Analysis in Natural Resource Management Society & Natural Resources. ,vol. 22, pp. 501- 518 ,(2009) , 10.1080/08941920802199202