Search Results for "data-model-patterns"

Data Model Patterns: A Metadata Map

Data Model Patterns: A Metadata Map

  • Author: David C. Hay
  • Publisher: Elsevier
  • ISBN: 9780080477039
  • Category: Computers
  • Page: 432
  • View: 4214
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Data Model Patterns: A Metadata Map not only presents a conceptual model of a metadata repository but also demonstrates a true enterprise data model of the information technology industry itself. It provides a step-by-step description of the model and is organized so that different readers can benefit from different parts. It offers a view of the world being addressed by all the techniques, methods, and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) and presents several concepts that need to be addressed by such tools. This book is pertinent, with companies and government agencies realizing that the data they use represent a significant corporate resource recognize the need to integrate data that has traditionally only been available from disparate sources. An important component of this integration is management of the "metadata" that describe, catalogue, and provide access to the various forms of underlying business data. The "metadata repository" is essential to keep track of the various physical components of these systems and their semantics. The book is ideal for data management professionals, data modeling and design professionals, and data warehouse and database repository designers. A comprehensive work based on the Zachman Framework for information architecture—encompassing the Business Owner's, Architect's, and Designer's views, for all columns (data, activities, locations, people, timing, and motivation) Provides a step-by-step description of model and is organized so that different readers can benefit from different parts Provides a view of the world being addressed by all the techniques, methods and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) Presents many concepts that are not currently being addressed by such tools — and should be

Data Model Patterns

Data Model Patterns

Conventions of Thought

  • Author: David Hay
  • Publisher: Addison-Wesley
  • ISBN: 0133488624
  • Category: Computers
  • Page: 288
  • View: 4803
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This is the digital version of the printed book (Copyright © 1996). Learning the basics of a modeling technique is not the same as learning how to use and apply it. To develop a data model of an organization is to gain insights into its nature that do not come easily. Indeed, analysts are often expected to understand subtleties of an organization's structure that may have evaded people who have worked there for years. Here's help for those analysts who have learned the basics of data modeling (or "entity/relationship modeling") but who need to obtain the insights required to prepare a good model of a real business. Structures common to many types of business are analyzed in areas such as accounting, material requirements planning, process manufacturing, contracts, laboratories, and documents. In each chapter, high-level data models are drawn from the following business areas: The Enterprise and Its World The Things of the Enterprise Procedures and Activities Contracts Accounting The Laboratory Material Requirements Planning Process Manufacturing Documents Lower-Level Conventions

Patterns of Data Modeling

Patterns of Data Modeling

  • Author: Michael Blaha
  • Publisher: CRC Press
  • ISBN: 1498785646
  • Category: Computers
  • Page: 261
  • View: 6575
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Best-selling author and database expert with more than 25 years of experience modeling application and enterprise data, Dr. Michael Blaha provides tried and tested data model patterns, to help readers avoid common modeling mistakes and unnecessary frustration on their way to building effective data models. Unlike the typical methodology book, Patterns of Data Modeling provides advanced techniques for those who have mastered the basics. Recognizing that database representation sets the path for software, determines its flexibility, affects its quality, and influences whether it succeeds or fails, the text focuses on databases rather than programming. It is one of the first books to apply the popular patterns perspective to database systems and data models. It offers practical advice on the core aspects of applications and provides authoritative coverage of mathematical templates, antipatterns, archetypes, identity, canonical models, and relational database design.

Enterprise Model Patterns

Enterprise Model Patterns

Describing the World

  • Author: David C. Hay
  • Publisher: Technics Publications
  • ISBN: 1634620313
  • Category: Computers
  • Page: 532
  • View: 9960
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Here you’ll find one key to the development of a successful information system: Clearly capture and communicate both the abstract and concrete building blocks of data that describe your organization. In 1995, David Hay published Data Model Patterns: Conventions of Thought - the groundbreaking book on how to use standard data models to describe the standard business situations. Enterprise Model Patterns: Describing the World builds on the concepts presented there, adds 15 years of practical experience, and presents a more comprehensive view. You will learn how to apply both the abstract and concrete elements of your enterprise’s architectural data model through four levels of abstraction: Level 0: An abstract template that underlies the Level 1 model that follows, plus two meta models: • Information Resources. In addition to books, articles, and e-mail notes, it also includes photographs, videos, and sound recordings. • Accounting. Accounting is remarkable because it is itself a modeling language. It takes a very different approach than data modelers in that instead of using entities and entity classes that represent things in the world, it is concerned with accounts that represent bits of value to the organization. Level 1: An enterprise model that is generic enough to apply to any company or government agency, but concrete enough to be readily understood by all. It describes: • People and Organization. Who is involved with the business? The people involved are not only the employees within the organization, but customers, agents, and others with whom the organization comes in contact. Organizations of interest include the enterprise itself and its own internal departments, as well as customers, competitors, government agencies, and the like. • Geographic Locations. Where is business conducted? A geographic location may be either a geographic area (defined as any bounded area on the Earth), a geographic point (used to identify a particular location), or, if you are an oil company for example, a geographic solid (such as an oil reserve). • Assets. What tangible items are used to carry out the business? These are any physical things that are manipulated, sometimes as products, but also as the means to producing products and services. • Activities. How is the business carried out? This model not only covers services offered, but also projects and any other kinds of activities. In addition, the model describes the events that cause activities to happen. • Time. All data is positioned in time, but some more than others. Level 2: A more detailed model describing specific functional areas: • Facilities • Human Resources • Communications and Marketing • Contracts • Manufacturing • The Laboratory Level 3: Examples of the details a model can have to address what is truly unique in a particular industry. Here you see how to address the unique bits in areas as diverse as: • Criminal Justice. The model presented here is based on the “Global Justice XML Data Model” (GJXDM). • Microbiology • Banking. The model presented here is the result of working for four different banks and then adding some thought to come up with something different from what is currently in any of them. • Highways. The model here is derived from a project in a Canadian Provincial Highway Department, and addresses the question “what is a road?”

The Data Model Resource Book

The Data Model Resource Book

Volume 3: Universal Patterns for Data Modeling

  • Author: Len Silverston,Paul Agnew
  • Publisher: John Wiley & Sons
  • ISBN: 1118080831
  • Category: Computers
  • Page: 648
  • View: 7547
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This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the quality of any type of data modeling effort?" In contrast to the first two volumes, this new volume focuses on the fundamental, underlying patterns that affect over 50 percent of most data modeling efforts. These patterns can be used to considerably reduce modeling time and cost, to jump-start data modeling efforts, as standards and guidelines to increase data model consistency and quality, and as an objective source against which an enterprise can evaluate data models.

UML Requirements Modeling For Business Analysts

UML Requirements Modeling For Business Analysts

Steps to Modeling Success

  • Author: Norman Daoust
  • Publisher: Technics Publications
  • ISBN: 1634620429
  • Category: Computers
  • Page: 268
  • View: 6625
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This book provides you with a collection of best practices, guidelines, and tips for using the Unified Modeling Language (UML) for business analysis. The contents have been assembled over the years based on experience and documented best practices. Over sixty easy to understand UML diagram examples will help you to apply these ideas immediately. If you use, expect to use, or think you should use the Unified Modeling Language (UML) or use cases in your business analysis activities, this book will help you: • communicate more succinctly and effectively with your stakeholders including your software development team, • increase the likelihood that your requirements will be reviewed and understood, • reduce requirements analysis, documentation, and review time. The first three chapters explain the reasons for utilizing the UML for business analysis, present a brief history of the UML and its diagram categories, and describe a set of general modeling guidelines and tips applicable to all of the UML diagram types. Each of the next thirteen chapters is dedicated to a different UML diagram type: 1. Use Case Diagrams 2. Activity Diagrams 3. Interaction Overview Diagrams 4. Class Diagrams 5. Object Diagrams 6. State Machine Diagrams 7. Timing Diagrams 8. Sequence Diagrams 9. Communication Diagrams 10. Composite Structure Diagrams 11. Component Diagrams 12. Deployment Diagrams 13. Package Diagrams The next two chapters explain additional diagram types that are important for business analysts and that can be created using UML notation: • Context Diagrams using Communication diagram notation • Data Models using Class diagram notation These chapters are followed by a chapter that describes criteria for selecting the various diagram types. The final chapter presents a case study.

Object Relationship Notation (ORN) for Database Applications

Object Relationship Notation (ORN) for Database Applications

Enhancing the Modeling and Implementation of Associations

  • Author: Bryon K. Ehlmann
  • Publisher: Springer Science & Business Media
  • ISBN: 0387095535
  • Category: Computers
  • Page: 246
  • View: 3715
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Conceptually, a database consists of objects and relationships. Object Relationship Notation (ORN) is a simple notation that more precisely defines relationships by combining UML multiplicities with uniquely defined referential actions. This book shows how ORN can be used in UML class diagrams and database definition languages (DDLs) to better model and implement relationships and thus more productively develop database applications. For the database developer, it presents many examples of relationships modeled using ORN-extended class diagrams and shows how these relationships are easily mapped to an ORN-extended SQL or Object DDL. For the DBMS developer, it presents the specifications and algorithms needed to implement ORN in a relational and object DBMS. This book also describes tools that can be downloaded or accessed via the Web. These tools allow databases to be modeled using ORN and implemented using automatic code generation that adds ORN support to Microsoft SQL Server and Progress Object Store. Object Relationship Notation (ORN) for Database Applications: Enhancing the Modeling and Implementation of Associations is written for research scientists, research libraries, professionals, and advanced-level students in computer science.

Linear Mixed Models for Longitudinal Data

Linear Mixed Models for Longitudinal Data

  • Author: Geert Verbeke,Geert Molenberghs
  • Publisher: Springer Science & Business Media
  • ISBN: 1441902996
  • Category: Mathematics
  • Page: 570
  • View: 3995
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This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Further, model diagnostics and missing data receive extensive treatment. Sensitivity analysis for incomplete data is given a prominent place. Most analyses were done with the MIXED procedure of the SAS software package, but the data analyses are presented in a software-independent fashion.

Geographic Information Science

Geographic Information Science

6th International Conference, GIScience 2010, Zurich, Switzerland, September 14-17, 2010. Proceedings

  • Author: Sara Irina Fabrikant,Tumasch Reichenbacher,Marc van Kreveld,Christoph Schlieder
  • Publisher: Springer Science & Business Media
  • ISBN: 3642152996
  • Category: Computers
  • Page: 325
  • View: 5700
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This book constitutes the refereed proceedings of the 6th International Conference on Geographic Information Science, GIScience 2010, held in Zurich, Switzerland, in September 2010. The 22 revised full papers presented were carefully reviewed and selected from 87 submissions. While traditional research topics such as spatio-temporal representations, spatial relations, interoperability, geographic databases, cartographic generalization, geographic visualization, navigation, spatial cognition, are alive and well in GIScience, research on how to handle massive and rapidly growing databases of dynamic space-time phenomena at fine-grained resolution for example, generated through sensor networks, has clearly emerged as a new and popular research frontier in the field.

The Nimble Elephant

The Nimble Elephant

Agile Delivery of Data Models using a Pattern-based Approach

  • Author: John Giles
  • Publisher: Technics Publications
  • ISBN: 1634620259
  • Category: Computers
  • Page: 254
  • View: 5531
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“Get it done well and get it done fast” are twin, apparently opposing, demands. Data architects are increasingly expected to deliver quality data models in challenging timeframes, and agile developers are increasingly expected to ensure that their solutions can be easily integrated with the data assets of the overall organization. If you need to deliver quality solutions despite exacting schedules, “The Nimble Elephant” will help by describing proven techniques that leverage the libraries of published data model patterns to rapidly assemble extensible and robust designs. The three sections in the book provide guidelines for applying the lessons to your own situation, so that you can apply the techniques and patterns immediately to your current assignments. The first section, Foundations for Data Agility, addresses some perceived aspects of friction between “data” and “agile” practitioners. As a starting point for resolving the differences, pattern levels of granularity are classified, and their interdependencies exposed. A context of various types of models is established (e.g. conceptual / logical / physical, and industry / enterprise / project), and you will learn how to customize patterns within specific model types. The second section, Steps Towards Data Agility, shares guidelines on generalizing and specializing, with cautions on the dangers of going too far. Creativity in using patterns beyond their intended purpose is encouraged. The short-term “You Ain’t Gonna Need It” (YAGNI) philosophy of agile practitioners, and the longer-term strategic perspectives of architects, are compared and evaluated. Consideration is given to the potential of enterprise views contributing to project-specific models. Other topics include industry models, iterative modeling, creation of patterns when none exist, and patterns for rules-in-data. The section ends with a perspective on the modeler’s possible role in agile projects, followed by a case study. The final section, A Bridge to the Land of Object Orientation, provides a pathway for re-skilling traditional data modelers who want to expand their options by actively engaging with the ranks of object-oriented developers. I’m delighted to see that John has put his extensive experience and broad knowledge of data modeling into print! John’s ability to simplify the complex, and to share his knowledge and enthusiasm – and humor – with colleagues, comes through in this very useful and readable book. I recommend it to anyone working with data. — Monika Remenyi, Senior Data Architect, Telstra John Giles has written a compelling and engaging book about the importance of data modeling patterns in the world of agile computing. His book is clearly and simply written, and it is full of excellent examples drawn from his extensive experience as a practitioner. You will see the enthusiasm and passion that John clearly has for his work in data modeling. And you will see in his book that any interchange with John will always have its fair share of good humor and wisdom! — Professor Ron Weber, Dean, Faculty of IT, Monash University

Database Design for Smarties

Database Design for Smarties

Using UML for Data Modeling

  • Author: Robert J. Muller
  • Publisher: Morgan Kaufmann
  • ISBN: 9781558605152
  • Category: Computers
  • Page: 442
  • View: 2527
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Whether building a relational, object-relational, or object-oriented database, database developers are increasingly relying on an object-oriented design approach as the best way to meet user needs and performance criteria. This book teaches you how to use the Unified Modeling Language-the official standard of the Object Management Group-to develop and implement the best possible design for your database. Inside, the author leads you step by step through the design process, from requirements analysis to schema generation. You'll learn to express stakeholder needs in UML use cases and actor diagrams, to translate UML entities into database components, and to transform the resulting design into relational, object-relational, and object-oriented schemas for all major DBMS products. * Teaches you everything you need to know to design, build, and test databases using an OO model. * Shows you how to use UML, the accepted standard for database design according to OO principles. * Explains how to transform your design into a conceptual schema for relational, object-relational, and object-oriented DBMSs. * Offers practical examples of design for Oracle, SQL Server, Sybase, Informix, Object Design, POET, and other database management systems. * Focuses heavily on re-using design patterns for maximum productivity and teaches you how to certify completed designs for re-use.

MDA®

MDA®

Effektives Software-Engineering mit UML2® und EclipseTM

  • Author: Volker Gruhn,Daniel Pieper,Carsten Röttgers
  • Publisher: Springer-Verlag
  • ISBN: 3540287469
  • Category: Computers
  • Page: 529
  • View: 4221
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Dieses Buch liefert sowohl die theoretischen Grundlagen als auch das praktische Handwerkszeug zur Anwendung der Model-Driven-Architecture der OMG. Nach einer Definition und der Einordnung des Ansatzes in die heutige Welt des Software-Engineering sowie der Vorstellung der notwendigen Grundlagen entwickeln die Autoren anhand eines Fallbeispiels ein prototypisches MDA Framework und setzen so die zuvor erarbeiteten Erkenntnisse in die Praxis um. Besonderes Augenmerk wird dabei auf die Verwendung von Open-Source Technologien, insbesondere der Eclipse-Plattform und ihrer untergliederten Projekte gelegt. Eine Übersicht über verwandte Ansätze und sinnvolle Ergänzungen zum vorgestellten Vorgehen sowie eine abschließende Bewertung und ein vorsichtiger Ausblick in die Zukunft runden die Darstellung ab. Das Buch richtet sich damit sowohl an Entscheider, die ein fundiertes Basiswissen zur MDA erlangen wollen, als auch an Praktiker, die Antworten auf konkrete Fragestellungen zur Umsetzung benötigen.

Entwurfsmuster

Entwurfsmuster

Elemente wiederverwendbarer objektorientierter Software

  • Author: N.A
  • Publisher: Pearson Deutschland GmbH
  • ISBN: 9783827328243
  • Category:
  • Page: 479
  • View: 1983
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Developing High Quality Data Models

Developing High Quality Data Models

  • Author: Matthew West
  • Publisher: Elsevier
  • ISBN: 9780123751072
  • Category: Computers
  • Page: 408
  • View: 7351
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Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both developing an Enterprise Architecture and in supporting Information Quality; common problems in data model development; and how to develop high quality data models, in particular conceptual, integration, and enterprise data models. The book is organized into four parts. Part 1 provides an overview of data models and data modeling including the basics of data model notation; types and uses of data models; and the place of data models in enterprise architecture. Part 2 introduces some general principles for data models, including principles for developing ontologically based data models; and applications of the principles for attributes, relationship types, and entity types. Part 3 presents an ontological framework for developing consistent data models. Part 4 provides the full data model that has been in development throughout the book. The model was created using Jotne EPM Technologys EDMVisualExpress data modeling tool. This book was designed for all types of modelers: from those who understand data modeling basics but are just starting to learn about data modeling in practice, through to experienced data modelers seeking to expand their knowledge and skills and solve some of the more challenging problems of data modeling. Uses a number of common data model patterns to explain how to develop data models over a wide scope in a way that is consistent and of high quality Offers generic data model templates that are reusable in many applications and are fundamental for developing more specific templates Develops ideas for creating consistent approaches to high quality data models

Design Patterns für die Spieleprogrammierung

Design Patterns für die Spieleprogrammierung

  • Author: Robert Nystrom
  • Publisher: MITP-Verlags GmbH & Co. KG
  • ISBN: 395845092X
  • Category: Computer games
  • Page: 400
  • View: 1307
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- Die bekannten Design Patterns der Gang of Four im konkreten Einsatz für die Entwicklung von Games - Zahlreiche weitere vom Autor entwickelte Patterns - Sequenzierungs-, Verhaltens-, Entkopplungs- und Optimierungsmuster Für viele Spieleprogrammierer stellt die Finalisierung ihres Spiels die größte Herausforderung dar. Viele Projekte verlaufen im Sande, weil Programmierer der Komplexität des eigenen Codes nicht gewachsen sind. Die im Buch beschriebenen Design Patterns nehmen genau dieses Problem in Angriff. Der Autor blickt auf jahrelange Erfahrung in der Entwicklung von weltweit erfolgreichen Games zurück und stellt erprobte Patterns vor, mit deren Hilfe Sie Ihren Code entwirren und optimieren können. Die Patterns sind in Form unabhängiger Fallbeispiele organisiert, so dass Sie sich nur mit den für Sie relevanten zu befassen brauchen und das Buch auch hervorragend zum Nachschlagen verwenden können. Sie erfahren, wie man eine stabile Game Loop schreibt, wie Spielobjekte mithilfe von Komponenten organisiert werden können und wie man den CPU-Cache nutzt, um die Performance zu verbessern. Außerdem werden Sie sich damit beschäftigen, wie Skript-Engines funktionieren, wie Sie Ihren Code mittels Quadtrees und anderen räumlichen Aufteilungen optimieren und wie sich die klassischen Design Patterns in Spielen einsetzen lassen.

Correlated Data Analysis: Modeling, Analytics, and Applications

Correlated Data Analysis: Modeling, Analytics, and Applications

  • Author: Peter X. -K. Song
  • Publisher: Springer Science & Business Media
  • ISBN: 038771393X
  • Category: Mathematics
  • Page: 352
  • View: 9207
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This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models. The reader is provided with a systematic treatment for the topic of estimating functions, and both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to the discussions on marginal models and mixed-effects models, this book covers new topics on joint regression analysis based on Gaussian copulas.

Advanced Data Mining and Applications

Advanced Data Mining and Applications

Second International Conference, ADMA 2006, Xi'an, China, August 14-16, 2006, Proceedings

  • Author: Xue Li,Osmar R. Zaiane,Zhanhuai Li
  • Publisher: Springer Science & Business Media
  • ISBN: 3540370250
  • Category: Computers
  • Page: 1114
  • View: 8343
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Here are the proceedings of the 2nd International Conference on Advanced Data Mining and Applications, ADMA 2006, held in Xi'an, China, August 2006. The book presents 41 revised full papers and 74 revised short papers together with 4 invited papers. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, and more.

Data Modeling of Financial Derivatives

Data Modeling of Financial Derivatives

A Conceptual Approach

  • Author: Robert Mamayev
  • Publisher: Apress
  • ISBN: 1430265906
  • Category: Business & Economics
  • Page: 216
  • View: 4344
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Written in plain English and based on successful client engagements, Data Modeling of Financial Derivatives: A Conceptual Approach introduces new and veteran data modelers, financial analysts, and IT professionals to the fascinating world of financial derivatives. Covering futures, forwards, options, swaps, and forward rate agreements, finance and modeling expert Robert Mamayev shows you step-by-step how to structure and describe financial data using advanced data modeling techniques. The book introduces IT professionals, in particular, to various financial and data modeling concepts that they may not have seen before, giving them greater proficiency in the financial language of derivatives—and greater ability to communicate with financial analysts without fear or hesitation. Such knowledge will be especially useful to those looking to pick up the necessary skills to become productive right away working in the financial sector. Financial analysts reading this book will come to grips with various data modeling concepts and therefore be in better position to explain the underlying business to their IT audience. Data Modeling of Financial Derivatives—which presumes no advanced knowledge of derivatives or data modeling—will help you: Learn the best entity–relationship modeling method out there—Barker’s CASE methodology—and its application in the financial industry Understand how to identify and creatively reuse data modeling patterns Gain an understanding of financial derivatives and their various applications Learn how to model derivatives contracts and understand the reasoning behind certain design decisions Resolve derivatives data modeling complexities parsimoniously so that your clients can understand them intuitively Packed with numerous examples, diagrams, and techniques, this book will enable you to recognize the various design patterns that you are most likely to encounter in your professional career and apply them successfully in practice. Anyone working with financial models will find it an invaluable tool and career booster.

Referenzmodellierung

Referenzmodellierung

Grundlegung und Evaluation der Technik des Modell-Konfigurationsmanagements

  • Author: Robert Braun
  • Publisher: Logos Verlag Berlin GmbH
  • ISBN: 3832518940
  • Category:
  • Page: 222
  • View: 1780
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Durch den Einsatz von Referenzmodellen werden sich in Wirtschaft, Verwaltung und Wissenschaft im Allgemeinen positive Wirkungen erhofft, wie bspw. eine gesteigerte Produktivitat oder ein Wissenserwerb fur die Unternehmung in Form von Common-practice bzw. Best-practice und ein damit einhergehender Gewinn an strategischen Wettbewerbsvorteilen. Interessanterweise konnen jedoch aktuelle empirische Studien genau diese Wirkungen von Referenzmodellen nicht belegen. Ein Grund dafur wird in den noch defizitaren Hilfsmitteln zur Konstruktion und Verwendung von Referenzmodellen gesehen, die die positiven Effekte neutralisieren oder in das Gegenteil verkehren. Die vorliegende Arbeit setzt hier an und untersucht, inwieweit sich die Technik des Modell-Konfigurationsmanagements, durch die sich ein positiver Einfluss auf die Qualitat der verwalteten Modelle und damit ein positiver Einfluss auf die Produktivitat von ein Modell-Konfigurationsmanagement nutzenden Projekten versprochen wird, als Hilfsmittel fur die Weiterentwicklung von Modellen im Rahmen der Referenzmodellierung nutzen lasst. Das Ergebnis der Arbeit ist dabei aufgrund des Forschungsstandes im Gebiet der Referenzmodellierungsforschung nicht nur in der Evaluation der Technik des Modell-Konfigurationsmanagements zu sehen, sondern auch - in der Entwicklung einer Methode zur Konzeption von Forschungsdesigns in der konzeptuellen Modellierungsforschung, - der Scharfung des Begriffes `Referenzmodell` durch Differenzierung von analytischer und operationaler Definition des Begriffes `Referenzmodell` in Analogie zur entsprechenden und anerkannten Differenzierung des Begriffes `Metamodell` sowie - dem Entwurf einer Theorie der Referenzmodellierung, die die vielfaltigen Ursache-Wirkungs-Zusammenhange expliziert, die positiv oder negativ auf den Einsatz von Referenzmodellen wirken. Aufgrund der hohen praktischen Relevanz des Themas, richtet sich das Buch neben Wissenschaftlern, Dozenten und Studenten der Gebiete der Wirtschaftsinformatik und betriebswirtschaftlichen Organisation auch an Praktiker, die das weite Feld Referenzmodellierung besser verstehen und dadurch veranlasste betriebliche Aktivitaten gezielter lenken mochten.