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 Free Download Corporate Governance: Theories, Actors, and Control Systems in the Age of New Capitalism English | 2024 | ISBN: 3031740882 | 463 Pages | PDF EPUB (True) | 19 MB In an era marked by financial scandals, corporate crises, and rapid technological advancements, this textbook equips readers with the knowledge and tools necessary to navigate the complexities of corporate governance effectively. Divided in three thematic sections, it offers a thorough examination of corporate governance theories, key actors and the systems of control essential in the current era of 'New Capitalism'. The chapters go beyond theoretical concepts, featuring numerous practical case studies drawn from real-world scenarios. Whether used as a textbook in academic settings, a reference guide in professional contexts, or a self-study resource, this textbook caters to diverse learning needs and preferences. Its organized structure and accessible language make it suitable for individuals at various stages of their academic or professional journey.  Free Download Coping with Financial Fragility and Systemic Risk By Harald A. Benink (auth.), Harald A. Benink (eds.) 1995 | 300 Pages | ISBN: 1441951555 | PDF | 9 MB Coping with Financial Fragility and Systemic Risk identifies and discusses the sources of perceived fragility in financial institutions and markets and its potential consequences throughout the economy. It then examines private sector solutions for dealing with systemic risk and mitigating the consequences. Finally, the book examines regulatory solutions to these problems.
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 Free Download Computergestützte Konsistenzsicherung in der objektorientierten Systemanalyse By Michael Rundshagen (auth.) 1996 | 170 Pages | ISBN: 3790809039 | PDF | 7 MB Das vorliegende Buch entspricht meiner Inauguraldissertation, die unter dem Titel ,,Entwicklung von Konsistenzregeln sowie Konzeption und Realisierung eines Werk zeugs zur computergestützten objektorientierten Systemanalyse mit MAOOAM" im Sommersemester 1995 von der Fakultät für Betriebswirtschaftslehre der Universität Mannheim angenommen wurde. An dieser Stelle möchte ich meinem Doktorvater und akademischen Lehrer Prof. Dr. Dr. Martin Schader für die wohlwollende Betreuung danken. Seine ständige Diskussionsbereitschaft und konstruktive Kritik haben wesentlich zum Gelingen der Arbeit beigetragen. Bei Prof. Dr. Franz Steffens bedanke ich mich für die Übernahme des Korreferats. Mein Dank gilt auch meinen Kollegen vom Lehrstuhl für Wirtschaftsinformatik III der Universität Mannheim. Besonders danke ich Herrn Dipl.-Math. Stefan Marx für die sorgfältige Durchsicht der ersten Version der Arbeit sowie für die ständige Bereitschaft, die neueste Software für die Erstellung des MAOOAM*Tool-Prototyps zu installieren. Schließlich möchte ich mich bei meinen Eltern und Anne bedanken, die mich durch ihre vorbehaltlose Unterstützung stets aufs Neue motiviert haben. Mannheim, Juli 1995 Michael Rundshagen Inhaltsverzeichnis 1 Einleitung 1 Motivation und AufgabensteIlung 1.1 1 Terminologie . 1.2 3 1.3 Gliederung . . 4 2 Objektorientierte Systemanalyse 7 Der Softwarelebenszyklus 2.1 7 2.1.1 Phasenmodelle . .  Free Download Complementarity Modeling in Energy Markets By Steven A. Gabriel, Antonio J. Conejo, J. David Fuller, Benjamin F. Hobbs, Carlos Ruiz (auth.) 2013 | 630 Pages | ISBN: 1441961224 | PDF | 7 MB This addition to the ISOR series introduces complementarity models in a straightforward and approachable manner and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques. In a nutshell, complementarity models generalize: a. optimization problems via their Karush-Kuhn-Tucker conditions b. on-cooperative games in which each player may be solving a separate but related optimization problem with potentially overall system constraints (e.g., market-clearing conditions) c. conomic and engineering problems that aren't specifically derived from optimization problems (e.g., spatial price equilibria) d. roblems in which both primal and dual variables (prices) appear in the original formulation (e.g., The National Energy Modeling System (NEMS) or its precursor, PIES). As such, complementarity models are a very general and flexible modeling format. A natural question is why concentrate on energy markets for this complementarity approach? s it turns out, energy or other markets that have game theoretic aspects are best modeled by complementarity problems. The reason is that the traditional perfect competition approach no longer applies due to deregulation and restructuring of these markets and thus the corresponding optimization problems may no longer hold. Also, in some instances it is important in the original model formulation to involve both primal variables (e.g., production) as well as dual variables (e.g., market prices) for public and private sector energy planning. Traditional optimization problems can not directly handle this mixing of primal and dual variables but complementarity models can and this makes them all that more effective for decision-makers.
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