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  • LSU
    • INFORMATION SYSTEMS AND DECISION SCIENCES RESEARCH

    INFORMATION TECHNOLOGY OUTSOURCING

    Information Technology Outsourcing (IT Outsourcing) deals with investigation of benefits and drawbacks of outsourcing the information systems operation of a corporation. From its beginnings as a cost-cutting tool, IT outsourcing has evolved into an integral component of a firm's overall information systems strategy. Still, reducing costs is an idea that never loses its appeal, and the opportunity to meet the IT demands of the organization with a less-expensive but well-trained labor pool has led organizations to look past the national borders, at locations both far and near, for such resources. Recent statistics vouch for the continued acceptance and popularity of IT outsourcing as well as the trend toward outsourcing to different global locations. A Gartner study noted global IT outsourcing grew from $176.8 billion in 2003, to $253.1 billion in 2008. LSU Department of Information Systems & Decision Sciences Ourso Family Distinguished Professor and Director of Virtual Organization Rudy Hirschheim has written extensively about the cost and benefits of IT outsourcing. Visit his research Web site for more detail.


    TRAFFIC CRASH DATA COLLECTION AND ANALYSIS

    The Traffic Crash Data Collection and Analysis is a research project lead by Department of ISDS Chair and Associate Dean for Research and Economic Development Helmut Schneider that deals with the collection of electronic and paper records; the integration of distributed information, such as hospital discharge data, court data, emergency medical service (EMS) run data, road inventory data, and driver data; and the analysis of large amounts of data, specifically crash data. Many of these findings can be applied to other data, such as medical records. The project is funded by the Louisiana Department of Transportation Development and the Louisiana State Police. Specific aspects of the project include data mining of crash data, decision support systems for accident information, geographic information systems, and commercial vehicle decision support systems. Another ongoing endeavor is automated image retrieval from large databases applicable to a wide array of issues, such as nodule detection in lung cancer X-rays. For more information regarding Schneider's research, visit his research Web site.