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    An ES process framework for understanding the strategic decision making process of ES implementations

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    Abstract
    Enterprise systems (ES) implementations are regarded costly, time and resource consuming and have a great impact on the organization in terms of the risks they involve and the opportunities they provide. The steering committee (SC) represents the group of individuals who is responsible for making strategic decisions throughout the ES implementation lifecycle. It is evident from recent studies that there is a relationship between the decision making process and ES implementation success. One of the key elements that contribute to the success of ES implementations is a quick decision making process (Brown and Vessey, 1999; Gupta, 2000; Parr, et al., 1999). This study addresses the strategic decision-making process by SC through its focus on four research questions (1) How can the strategic decision-making process in the implementation of ES be better understood, during each phase of the ES implementation lifecycle? (2) What is the process by which the SC makes strategic decisions? (3) How are fast decisions made? and (4) How does decision speed link to the success of ES implementation? Process models of ES implementation will provide a framework to investigate the strategic decision making process during each phases of the ES implementation lifecycle. Patterns in the decision making process will be explored using strategic choice models. This study develops a research model that focuses on the decision making process by steering committee to explore research questions. It concludes with identifying contributions to both IS research and business practitioners.
    Citation
    Shakir, M. (2001), An ES process framework for understanding the strategic decision making process of ES implementations, Research Letters in the Information and Mathematical Sciences, 2, 47-53
    Date
    2001
    Author
    Shakir, Maha
    Publisher
    Massey University
    URI
    http://hdl.handle.net/10179/4340
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    • Research Letters in the Information and Mathematical Sciences
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