17 research outputs found

    Minutes of a Regular Meeting, The University of Oklahoma Board of Regents, November 1, 1995

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    Volume 41, Number 12: November 14, 2003

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    Current, December 05, 2011

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    https://irl.umsl.edu/current2010s/1095/thumbnail.jp

    SLIS Connecting, Volume 10, Issue 1, Spring/Summer 2021

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    Risk management in enterprise resource planning projects

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    In recent years Enterprise Resource Planning (ERP) systems have received much attention. ERP are extremely complex information systems, whose implementation is often a complex adventure for business enterprises. The organizational relevance and risk of ERP projects make it important for organizations to focus on ways to make ERP implementation successful. However, dealing with risk management in ERP project introduction is an ambitious task. Numerous risk factors have to be taken into account which include technological and managerial aspects, both psychological and sociological; moreover they can be deeply interconnected and have indirect e ects on the project. Therefore, the risk management process is highly difficult and uncertain. The general purpose of this study is to develop an innovative risk management methodology supporting the formulation of risk treatment strategies and actions during ERP introduction projects in order to nally improve the success rate. In this thesis, the research context, framework and methodology are presented; then main phases are introduced and results discussed

    Central Florida Future, Vol. 34 No. 31, April 24, 2002

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    Credit card theft strikes UCF; Eternal Knights Service remembers deceased students; Less Than Jake rocks Spring Fest.https://stars.library.ucf.edu/centralfloridafuture/2611/thumbnail.jp

    A Model for Regional Technology-Based Economic Development

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    Technology-based economic development has been a highly sought-after objective for regions in developed and developing countries alike. The wealth created by regional knowledgebased economies like Silicon Valley is an attractive outcome. Without understanding clusterbased economic strategy, the different types of technology-based economic development approaches, the factors that dictate success or failure, and how those factors interrelate within a particular region, then the probability of success is minimal at best. Economic Development is a process and hence lends itself to a Systems Engineering approach, which was chosen as the methodology for analyzing and designing a better model for studying regions around the world to identify Factors that were both common and key to successful regional development. Each region was viewed as a system with inputs and outputs. The challenge in developing a useful system model is the development of the required Factors and Processes to be used. In the development of the model most of the Factors are internal to the system, but many may be affected by external events. The weighting (importance) of these Factors is the topic of much debate. To develop a baseline of Factors the Delphi method was used. Fortunately, a number of world-wide experts agreed to participate in one on one interviews to analyze these Factors, which in itself added a great deal to the body of knowledge of economic development beyond just the Factors. One obvious result was the essentially unanimous opinion of the group that leadership was the most important factor. A less obvious outcome, but one of equal importance was that there are two classes of regional economic development: one for mass job creation and another for the creation of a knowledge-based regional economy. Often regions undertake economic development without understanding this significant difference. While the model developed can be used for either goal it is extremely important that developers know in advance which goal is being pursued, which is also one of the critical outcomes of strong leadership. While all indications are that this model is a major improvement over current approaches, because this is a new approach until this research is followed by additional interviews, and by applying the model to actual regional technology-based economic development environments it\u27s validity remains unproven
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