11 research outputs found

    Digital Leadership

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    Customers are demanding services using evolving technologies, and firms need agility in the way systems are designed and delivered to quickly meet customer expectations. Such agility is in fact an organizational capability where a combination of internal and supplier/partner resources allow firms to quickly create customer value propositions and deliver value through digital services, that is, services using advanced digitization. Leadership that enables such a customer-centric and service-driven culture using technology is referred to as digital leadership. This chapter develops a 10-step methodology not only to show how an innovative value proposition moves from conception to implementation using an agile system and business architecture, but also to lead to the next set of innovations for review. This methodology, developed over four years iteratively using over 100 graduate student projects, is briefly illustrated through two case examples

    A Data Base for Operations Research Models

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    This paper develops the design of a data base system to support operations research models in the context of an integrated planning system involving a number of different users and computer programs. The requirements for such a system are described, a âÂÂnetworkâ data base schema is developed and the schema and command language are illustrated through a specific example.Information Systems Working Papers Serie

    SELECTING A REQUIREMENT DETERMINATION METHODOLOGY: CONTINGENCY APPROACH REVISITED

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    Prior research has shown that the requirements determination (RD) process has to deal with uncertainty in the task environment. A contingency approach was proposed to select a requirements determination strategy based on an overall assessment of uncertainty in defining application/organizational information requirements. Recent research has shown that organizations process information not only to reduce uncertainty, but also to reduce equivocality. The objective of this paper is to assess the impact of these two dimensions on the selection of a requirement determination strategy. A reclassification of various RD strategies based on their ability to reduce uncertainty and equivocality is proposed and a revised contingency approach for their selection is suggested

    Supporting reuse in systems analysis

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    On the usability of OO representations

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