Conceptual modeling for the design of intelligent and emergent information systems |
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| Affiliation: | 1. Computing and Technology, Nottingham Trent University, Nottingham, England, NG7 2RD, UK;2. Manchester Business School, University of Manchester, Manchester, England, M15 6 PB, UK;1. Collins College of Business, The University of Tulsa, 800 South Tucker Drive, Helmerich Hall 118B, Tulsa, OK, 74104, United States;2. Department of Engineering Management and Systems Engineering, Laboratory for Investment and Financial Engineering, Intelligent Systems Center, Missouri University of Science and Technology, 221 Engineering Management, 600 W. 14th Street, Rolla, MO, 65409-0370, United States;3. SphereXX.com, 9142 S. Sheridan, Tulsa, OK, 74133, United States;4. Microsoft Corporation, 205 108th Ave NE #400, Bellevue, WA, 98004, United States;1. Department of Mathematics, College of Natural Sciences, Arba Minch University, Arba Minch, Ethiopia;2. Department of Mathematics, Annamalai University, Annamalainagar - 608002, Tamilnadu, India;1. Information Engineering Department, Universitá Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy;2. Faculty of Mathematics and Computer Science, Eindhoven University of Technology, NL-5600 MB, Eindhoven, The Netherlands;1. College of Business, University of Mary Washington, 1301 College Avenue, Fredericksburg, VA 22401, United States;2. Department of Information Systems, Statistics and Management Science, University of Alabama, Tuscaloosa, AL 35487-0226, United States;3. Department of Information Systems, Statistics and Management Science, University of Alabama, Tuscaloosa, AL 35487-0226, United States;4. Department of Management, College of Business, University of Arkansas at Little Rock, Little Rock, AR 72204, United States |
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| Abstract: | A key requirement to today's fast changing economic environment is the ability of organizations to adapt dynamically in an effective and efficient manner. Information and Communication Technologies play a crucially important role in addressing such adaptation requirements. The notion of `intelligent software' has emerged as a means by which enterprises can respond to changes in a reactive manner but also to explore, in a pro-active manner, possibilities for new business models. The development of such software systems demands analysis, design and implementation paradigms that recognize the need for `co-development' of these systems with enterprise goals, processes and capabilities. The work presented in this paper is motivated by this need and to this end it proposes a paradigm that recognizes co-development as a knowledge-based activity. The proposed solution is based on a multi-perspective modeling approach that involves (i) modeling key aspects of the enterprise, (ii) reasoning about design choices and (iii) supporting strategic decision-making through simulations. The utility of the approach is demonstrated though a case study in the field of marketing for a start-up company. |
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