Date of Conferral
2017
Degree
Doctor of Business Administration (D.B.A.)
School
Information Systems and Technology
Advisor
Ify Diala
Abstract
Project managers must ensure risk management and business justification for their projects. Approximately, 53% of IT projects failed due to project managers not identifying risks early in the projects' lifecycle. The purpose of this single case study was to explore strategies IT project managers utilize to identify risks early in the project's lifecycle. The study population consisted of 5 lead IT project managers from a telecom company located in the Midwest region of the United States who had managed IT projects. The conceptual framework that grounded this study was the general systems theory. The data collection process involved semistructured interviews, a review of public documents, and member checking interviews to verify the authenticity of the participants' information. The data analysis process included the methodological triangulation, through interviewing and reviewing documents as well as using Yin's 5-step process for analyzing data to identify codes and themes. After the data analysis, the themes that emerged were self-development tools and risk identification (inputs, project tools and techniques, and output). The findings indicated it is crucial that the project team and all stakeholders who have an interest in the project continuously address risk management throughout the project's lifecycle. The implications for positive social change may help individuals understand risks better, interpret situations, and prevention of risk, which are essential to encourage economic inclusion, social protection, and environmental building.
Recommended Citation
Mack-Cain, Nina Michele, "Exploring Strategies for Early Identification of Risks in Information Technology Projects" (2017). Walden Dissertations and Doctoral Studies. 4651.
https://scholarworks.waldenu.edu/dissertations/4651
Included in
Business Administration, Management, and Operations Commons, Databases and Information Systems Commons, Management Sciences and Quantitative Methods Commons