Information Systems Project Management Decision Making: The Influence of Experience and Risk Propensity

2008 ◽  
Vol 39 (2) ◽  
pp. 34-47 ◽  
Author(s):  
Richard A. Huff ◽  
Victor R. Prybutok
2018 ◽  
Vol 50 (1) ◽  
pp. 23-39 ◽  
Author(s):  
David Rumeser ◽  
Margaret Emsley

The existing literature on project management serious games tends to ignore the effect of project complexity levels on decision-making performance. This research fills this gap by conducting an experiment whereby two similar project management games with different complexity levels were applied. Our findings suggest that these games can improve players’ decision-making performance both in the less complex and more complex scenarios. We also discover that game complexity levels do not affect teams’ decision-making performance improvement, and that teams with more project work experience tend to improve more than those with less experience in the more complex game.


2019 ◽  
Vol 22 ◽  
pp. 22-31
Author(s):  
Ieva Ancveire ◽  
Inese Poļaka

In software development projects, managers still have to face a variety of organisational and technical limitations despite the development of technology and approaches to improve the project management process. Projects, Human Resources and Costs are planned for a specific period of time. However, in the progression of project execution, there is a need to make various decisions and to dynamically adjust the work plan during the project in order to conform to its evolution. Thus, there is a need for a method that employs the latest technology to support the project management decision-making process. The aim and the expected result of the article are to identify and collect available information in the scientific literature to answer the following questions: (1) Which challenges of project management have been addressed using genetic algorithms? (2) What are the opportunities and limitations of genetic algorithms in the project management decision-making process? (3) What are the potential solutions to the identified genetic algorithm problems?


2002 ◽  
Vol 37 (1-3) ◽  
pp. 185-198 ◽  
Author(s):  
B.S Lee ◽  
M.E Alexander ◽  
B.C Hawkes ◽  
T.J Lynham ◽  
B.J Stocks ◽  
...  

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