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Distributed business component computing--the assembling of business components into electronic business processes, which interact via the Internet--caters to a new breed of enterprise systems that are flexible, relatively easy to maintain and upgrade to accommodate new business processes, and relatively simple to integrate with other enterprise systems. Companies with unwieldy, large, and heterogeneous inherited information systems--known as legacy systems--find it extremely difficult to align their old systems with novel business processes. Legacy systems are not only tightly intertwined with existing business processes and procedures but also have a brittle architecture after years of ad-hoc fixes and offer limited openness to other systems. In this book, Willem-Jan van den Heuvel provides a methodological framework that offers pragmatic techniques for aligning component-based business processes and legacy systems. Van den Heuvel's methodology is based on three building blocks: reverse engineering, which allows legacy systems to be componentized; forward engineering, which derives a set of business components from requirements of the new business processes; and alignment of new business processes and componentized legacy systems. Van den Heuvel provides a theoretical foundation for these, with chapters that discuss component-based development, introduce a case study that is used throughout the book to illustrate the methodology, and assess methods and technologies for legacy integration, component adaptation, and process alignment. He describes the methodological framework itself and its techniques to align new business processes with legacy systems by adopting a meet-in-the-middle strategy. Drawing on topics from a wide range of disciplines, including component-based development, distributed computing, business process modeling, and others, Aligning Modern Business Processes and Legacy Systems offers theoretically grounded practical methodology that has been explored and tested in a variety of experiments as well as some real-world projects.
Management information systems --- Information technology --- Reengineering (Management) --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Information Technology --- Management information systems. --- Information technology. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Business process reengineering --- Re-engineering (Management) --- IT (Information technology) --- Sociotechnical systems --- Information resources management --- Management --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Communication systems --- INFORMATION SCIENCE/Technology & Policy --- Information systems
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The fast-paced technological development and the plethora of data create numerous opportunities waiting to be exploited by entrepreneurs. This book provides a detailed, yet practical, introduction to the fundamental principles of data science and how entrepreneurs and would-be entrepreneurs can take advantage of it. It walks the reader through sections on data engineering, and data analytics as well as sections on data entrepreneurship and data use in relation to society. The book also offers ways to close the research and practice gaps between data science and entrepreneurship. By having read this book, students of entrepreneurship courses will be better able to commercialize data-driven ideas that may be solutions to real-life problems. Chapters contain detailed examples and cases for a better understanding. Discussion points or questions at the end of each chapter help to deeply reflect on the learning material.
Entrepreneurship. --- New business enterprises. --- Business information services. --- Engineering—Data processing. --- Big data. --- Business. --- Management science. --- IT in Business. --- Data Engineering. --- Big Data. --- Business and Management. --- Data sets, Large --- Large data sets --- Data sets --- Business --- Business enterprises --- Information services --- Business starts --- Development stage enterprises --- How to start a business --- New companies --- Start-up business enterprises --- Start-up companies --- Start-ups (Business enterprises) --- Starting a business --- Startups (Business enterprises) --- Business incubators --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Trade --- Economics --- Commerce --- Industrial management --- Entrepreneur --- Intrapreneur --- Capitalism
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Economic relations. Trade --- Mathematical control systems --- Applied marketing --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- e-books --- e-business --- informatica --- informatietechnologie --- e-commerce --- software engineering --- KI (kunstmatige intelligentie) --- informatietheorie
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This book is a festschrift in honour of Mike Papazoglou's 65th birthday and retirement. It includes 20 contributions from leading researchers who have worked with Mike in his more than 40 years of academic research. Topics are as varied as Mike's and include service engineering, service management, services and human, IoT, and data-driven services. .
Economic relations. Trade --- Mathematical control systems --- Applied marketing --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- e-books --- e-business --- informatica --- informatietechnologie --- e-commerce --- software engineering --- KI (kunstmatige intelligentie) --- informatietheorie
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The fast-paced technological development and the plethora of data create numerous opportunities waiting to be exploited by entrepreneurs. This book provides a detailed, yet practical, introduction to the fundamental principles of data science and how entrepreneurs and would-be entrepreneurs can take advantage of it. It walks the reader through sections on data engineering, and data analytics as well as sections on data entrepreneurship and data use in relation to society. The book also offers ways to close the research and practice gaps between data science and entrepreneurship. By having read this book, students of entrepreneurship courses will be better able to commercialize data-driven ideas that may be solutions to real-life problems. Chapters contain detailed examples and cases for a better understanding. Discussion points or questions at the end of each chapter help to deeply reflect on the learning material.
Business policy --- Organization theory --- Business management --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- organisatiemanagement --- bedrijfseconomie --- ondernemingsstrategieën --- bedrijven --- management --- organisatiecultuur --- ondernemen --- gegevensanalyse --- informatica management
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We are pleased to present the proceedings of the workshops held in conjunction with ER 2005, the 24th International Conference on Conceptual Modeling. The objective of these workshops was to extend the spectrum of the main conferencebygivingparticipantsanopportunitytopresentanddiscussemerging hot topics related to conceptual modeling and to add new perspectives to this key mechanism for understanding and representing organizations, including the new virtual e-environments and the information systems that support them. To meet this objective, we selected 5 workshops: - AOIS 2005: 7th International Bi-conference Workshop on Agent-Oriented Information Systems - BP-UML 2005: 1st International Workshop on Best Practices of UML - CoMoGIS 2005: 2nd International Workshop on Conceptual Modeling for Geographic Information Systems - eCOMO 2005: 6th International Workshop on Conceptual Modeling - proaches for E-business - QoIS 2005: 1st International Workshop on Quality of Information Systems These 5 workshops attracted 18, 27, 31, 9, and 17 papers, respectively. F- lowing the ER workshopphilosophy, program committees selected contributions on the basis of strong peer reviews in order to maintain a high standard for accepted papers. The committees accepted 8, 9, 12, 4, and 7 papers, for acc- tance ratesof 44%,33%,39%,44%, and 41%,respectively. In total, 40 workshop papers were selected out of 102 submissions with a weighted averageacceptance rate of 40%.
Geology. Earth sciences --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- IR (information retrieval) --- bedrijfseconomie --- informatica --- informatiesystemen --- database management --- informatica management --- geologie --- robots
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Geology. Earth sciences --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- IR (information retrieval) --- bedrijfseconomie --- informatica --- informatiesystemen --- database management --- informatica management --- geologie --- robots
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Programming --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- informatica --- programmeren (informatica) --- database management --- software engineering --- OS (operating system) --- computernetwerken
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