ERIC Number: ED569073
Record Type: Non-Journal
Publication Date: 2014
Pages: 161
Abstractor: As Provided
ISBN: 978-1-3038-8849-6
ISSN: N/A
EISSN: N/A
Available Date: N/A
Impact of Functional Characteristics on Usage of LSS Methods in IT and Perceived Project Success
Mushi, Francis Jeremiah
ProQuest LLC, Ph.D. Dissertation, Capella University
High rates of Information Technology (IT) project failures continues; fail to meet established deadlines, exceeding budget, or not agreed-upon functionality. Failure often results from a fundamental confusion over what is involved in the project. Methods that have provided project success in Service and Manufacturing industries have not been thoroughly studied in the Technology Industry. During the 1990s, large manufacturing companies, such as Motorola, GE and Allied Signal, used the Lean Six Sigma (LSS) to help achieve project success. This study investigated whether using LSS methods could have led to a higher success rate of IT projects. A non-experimental, descriptive research design was used to compare and measure the relationship between IT organizations' use of LSS and its influence on project success. A survey instrument utilized; data collected via an online survey service called SurveyMonkey. The participants were given ten (10) days to complete the survey. Participants for this study were PMI members who were U.S. residents with IT project management experience and LSS knowledge. The null hypothesis (H1o) was that the LSS methods usage rate is not significantly correlated with IT project success rate. The results show there was a significant relationship between LSS usage and project success rate, r(284) = 0.48, p <0.001. The null hypothesis (H1o) was rejected. The study confirms that LSS can be trusted to deliver quality in IT projects; these findings could encourage IT organizations to implement LSS methods. IT management should aim to increase the awareness within the industry that even large and complex projects could benefit from the advantages of LSS methods. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com.bibliotheek.ehb.be/en-US/products/dissertations/individuals.shtml.]
Descriptors: Information Technology, Statistical Analysis, Quality Control, Measurement Techniques, Success, Program Administration, Data Collection, Online Surveys, Hypothesis Testing, Correlation
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
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