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    <link>https://hdl.handle.net/10419/182302</link>
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    <pubDate>Fri, 01 May 2026 04:24:05 GMT</pubDate>
    <dc:date>2026-05-01T04:24:05Z</dc:date>
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      <title>From bilateral arbitral tribunals and investment courts to a multilateral investment court: Options regarding the institutionalization of investor-state dispute settlement</title>
      <link>https://hdl.handle.net/10419/213913</link>
      <description>Title: From bilateral arbitral tribunals and investment courts to a multilateral investment court: Options regarding the institutionalization of investor-state dispute settlement
Authors: Bungenberg, Marc; Reinisch, August
Abstract: This open access book considers the potential setup for a future Multilateral Investment Court (MIC). The option of an MIC was first discussed by the EU Commission in 2016 and has since been made an official element of the EU Common Commercial Policy. In 2017, UNCITRAL also decided to discuss the possibility of an MIC, and on 20 March 2018, the Council of the EU gave the EU Commission the mandate to negotiate the creation of an MIC. The "feasibility study" presented here is intended to contribute to a broader discussion on the options for a new international court specialized in investment protection. The cornerstones of such a new permanent court are a strict orientation on the rule of law, reduced costs of investment protection, transparency considerations, aspects of consistency in case law, and the effective enforceability of MIC decisions.</description>
      <pubDate>Wed, 01 Jan 2020 00:00:00 GMT</pubDate>
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      <dc:date>2020-01-01T00:00:00Z</dc:date>
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      <title>Taking Stock of Industrial Ecology</title>
      <link>https://hdl.handle.net/10419/182311</link>
      <description>Title: Taking Stock of Industrial Ecology
Editors: Clift, Roland; Druckman, Angela
Abstract: How can we design more sustainable industrial and urban systems that reduce environmental impacts while supporting a high quality of life for everyone? What progress has been made towards reducing resource use and waste, and what are the prospects for more resilient material-efficient economies? What are the environmental and social impacts of global supply chains, and how can they be measured and improved? Such questions are at the heart of the emerging discipline of industrial ecology, covered in Taking Stock of Industrial Ecology. Leading authors, researchers and practitioners review how far industrial ecology has developed and current issues and concerns, with illustrations of what the industrial ecology paradigm has achieved in public policy, corporate strategy and industrial practice. It provides an introduction for students coming to industrial ecology and for professionals who wish to understand what industrial ecology can offer, a reference for researchers and practitioners, and a source of case studies for teachers.</description>
      <pubDate>Fri, 01 Jan 2016 00:00:00 GMT</pubDate>
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      <dc:date>2016-01-01T00:00:00Z</dc:date>
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      <title>Stochastics of Environmental and Financial Economics</title>
      <link>https://hdl.handle.net/10419/182314</link>
      <description>Title: Stochastics of Environmental and Financial Economics
Editors: Benth, Fred Espen; Di Nunno, Giulia
Abstract: These Proceedings offer a selection of peer-reviewed research and survey papers by some of the foremost international researchers in the fields of finance, energy, stochastics and risk, who present their latest findings on topical problems. The papers cover the areas of stochastic modeling in energy and financial markets; risk management with environmental factors from a stochastic control perspective; and valuation and hedging of derivatives in markets dominated by renewables, all of which further develop the theory of stochastic analysis and mathematical finance. The papers were presented at the first conference on "Stochastics of Environmental and Financial Economics (SEFE)", being part of the activity in the SEFE research group of the Centre of Advanced Study (CAS) at the Academy of Sciences in Oslo, Norway during the 2014/2015 academic year.</description>
      <pubDate>Fri, 01 Jan 2016 00:00:00 GMT</pubDate>
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      <dc:date>2016-01-01T00:00:00Z</dc:date>
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      <title>Corporate Data Quality: Voraussetzung erfolgreicher Geschäftsmodelle</title>
      <link>https://hdl.handle.net/10419/182358</link>
      <description>Title: Corporate Data Quality: Voraussetzung erfolgreicher Geschäftsmodelle
Authors: Otto, Boris; Österle, Hubert
Abstract: Daten sind die strategische Ressource des 21. Jahrhunderts. Es findet kein Geschäftsprozess, keine Kommunikation zwischen Geschäftspartnern, keine Wertschöpfung statt, ohne dass die involvierten Personen, Maschinen und IT-Systeme Daten nutzen, erzeugen oder verändern. Trends wie die Digitalisierung, Industrie 4.0 und Social Media tragen ebenfalls dazu bei, dass Datenmanagement zu einer Kernkompetenz für erfolgreiche Unternehmen dieser Zeit geworden ist. Damit Daten ihren ganzen Wert entfalten können, müssen sie stets in angemessener Qualität zur Verfügung stehen. Dies gilt besonders für Stammdaten, die zentralen Geschäftsobjekte eines Unternehmens. Dieses Buch zeigt einen ganzheitlichen Ansatz zum qualitätsbewussten Management von Stammdaten auf und richtet sich damit sowohl an Praktiker als auch an die Wissenschaft. Das "Framework für Stammdatenqualitätsmanagement" wurde im Rahmen des "Competence Center Corporate Data Quality" der Universität St. Gallen seit dem Jahr 2006 gemeinsam mit Unternehmen aus unterschiedlichen Industrien in zahlreichen praktischen Anwendungen entwickelt und verbessert. Neben den theoretischen Grundlagen räumt das Buch der praktischen Sicht mit 10 Fallstudien großen Raum ein, die erfolgreich durchgeführte Datenqualitätsprojekte praxisnah aufbereiten. Schließlich führt das Buch noch Methoden und Werkzeuge für das Datenqualitätsmanagement auf, die (Stamm-)datenmanager bei Projekten im eigenen betrieblichen Umfeld unterstützen können.</description>
      <pubDate>Fri, 01 Jan 2016 00:00:00 GMT</pubDate>
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      <dc:date>2016-01-01T00:00:00Z</dc:date>
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