Title page for etd-0726113-115747


[Back to Results | New Search]

URN etd-0726113-115747
Author Yin-sheng Kuo
Author's Email Address No Public.
Statistics This thesis had been viewed 5340 times. Download 556 times.
Department Information Management
Year 2012
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Managing risks in cross-organizational software implementation project - A car manufacture case
Date of Defense 2013-07-19
Page Count 185
Keyword
  • Cross-organization
  • Qualitative Study
  • Risk Factors
  • Project Management
  • Information System Development
  • Abstract Many studies have addressed the issue of risk in implementing information systems within organization. In addition, it has been verified that risk factors have great effects during the process of implementation. However, few and limited efforts have been entered to understand the managing of risk in cross-organization software implementation project. Therefore, this study attempts to explore the risk factors in cross-organization software implementation project and understand the causal relationship among factors.
    To address the objects of the research, this study first reviewed literature and identified seven risk types and thirty five risk factors. The researcher then conducted a case study in a leading automobile manufacturer in Taiwan with an intensive network of suppliers and vendor. A total of 11 semi-structured interviews are performed. Interviewees include participants of this project, from vendor, headquarter of car manufacture, and dealers. After analyzing the collected data, thirty four occurred risk factors are identified in different stages of the project. In addition, among risk factors, fifteen are founded as cross-organization risk factors. Lastly, in addition to specifying three major characteristics of risk, this study also identified causal relationships among found risk factors.
    The findings provide organizations an in-depth understanding on risk detection and risk prevention while cross-organization software development. Moreover, future studies are encouraged to conduct quantitative-based empirical studies to verify the identified characteristics of risks and relationships among risk factors.
    Advisory Committee
  • Hsieh-Hong Huang - chair
  • Sheng-Pao Shih - co-chair
  • Shih-Chieh Hsu - advisor
  • Files
  • etd-0726113-115747.pdf
  • Indicate in-campus at 0 year and off-campus access at 2 year.
    Date of Submission 2013-08-26

    [Back to Results | New Search]


    Browse | Search All Available ETDs

    If you have more questions or technical problems, please contact eThesys