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  • HWR Berlin  (4)
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  • 1
    Online Resource
    Online Resource
    Charlottesville, Va : University of Virginia Library
    UID:
    b3kat_BV035411658
    Edition: Online-Ausgabe Boulder, Colo NetLibrary Online-Ressource E-Books von NetLibrary Sonstige Standardnummer des Gesamttitels: 22382847
    Edition: Boulder, Colo NetLibrary
    ISBN: 0585206007
    Note: The text for this NetLibrary eBook was obtained from the University of Virginia Library Electronic Text Center. - Access may be limited to NetLibrary affiliated libraries
    Additional Edition: Reproduktion von Mann, Thomas, 1875-1955 Loulou 1997
    Language: English
    Subjects: German Studies
    RVK:
    Keywords: Patentschrift ; Didactic fiction
    Author information: Mann, Thomas 1875-1955
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    b3kat_BV048224375
    Format: 1 Online-Ressource (386 Seiten)
    ISBN: 9783030468781
    Series Statement: International Marketing and Management Research Ser
    Note: Description based on publisher supplied metadata and other sources , Intro -- Acknowledgments -- Contents -- Abbreviations -- List of Figures -- List of Tables -- 1 Is Transaction Cost Economics Behavioral? -- 1.1 Introduction -- 1.2 Why Behavioral Reasoning of the Firm? -- 1.3 Characteristics of Behavioral Theories of the Firm -- 1.4 Opposing Views About Whether TCE Is Behavioral -- 1.5 An Evaluation of Whether TCE Is Behavioral -- 1.6 What Prevents TCE from Being Behavioral? -- 1.7 A Roadmap of Chapters Ahead -- References -- 2 Clarifying Key Terms and Philosophical Foundations of Transaction Cost Economics -- 2.1 The Serious Conflation Among Opportunism, Bounded Rationality and Uncertainty -- 2.2 Confusion About Uncertainty -- 2.3 A Proposition to Increase Definitional Precision -- 2.3.1 Conceptual Separation of Bounded Rationality, Uncertainty, and Opportunism -- 2.3.2 Uncertainties Should Be Classified According to Controllability -- 2.3.3 Benefits of Classifying Uncertainties Based on Controllability -- 2.4 Is Opportunism a Necessary Assumption in TCE? -- 2.5 TCE Is not Well Suited to the Study of Uncontrollable Uncertainty -- 2.6 The Philosophical Roots of Confusion About Uncertainty in TCE -- 2.7 A Call for Critical Realism -- 2.8 Critical Realism Can Inform Effectuation Theory -- 2.9 Critical Realism 'Integrates' TCE and Effectuation -- 2.9.1 Deduction, Abduction, and Retroduction -- 2.9.2 Critical Realism Facilitates a Better Understanding of Generative Mechanisms -- 2.10 Uncertainty Controllability Makes Effectuation Theory Coherent -- 2.11 Ergodic/Nonergodic Uncertainties: A False Distinction According to Critical Realism -- 2.11.1 The Ontological Confusion in the Ergodic/Nonergodic Distinction -- 2.11.2 Ontological Depth of Critical Realism Integrates Ergodic/Nonergodic Uncertainties -- 2.11.3 Critical Realism and the Long-Run Applicability of Transaction Cost Economics , 2.12 Assumptional Symmetry and Ontological Unification -- References -- 3 Opportunism and Bounded Rationality in Transaction Cost Economics: Values, Attitudes, or Behaviors? -- 3.1 The Value-Attitude-Behavior Hierarchy -- 3.2 The Link Between Value-Attitude-Behavior Hierarchy and Critical Realism -- 3.3 The Link Between Critical Realism and the Emic-Etic Distinction -- 3.4 Opportunism and Bounded Rationality Should Be Treated as Attitudes -- 3.4.1 Opportunism as Attitude -- 3.4.2 Bounded Rationality as Attitude -- 3.5 An Institutional Approach to Opportunism and Bounded Rationality as Attitudes -- 3.5.1 National Ethical Attitude as a Measure of 'Opportunism as an Attitude' -- 3.5.2 Cultural Distance as a Measure of 'Bounded Rationality as an Attitude'10 -- References -- 4 Modeling Bounded Rationality: Mediation or Moderation-Or Bounded Rationalizing? -- 4.1 The Distinction Between the Brain, the Mind and the Self -- 4.2 The Theory of the Human Brain -- 4.3 The Eight-Consciousness Model of the Mind -- 4.4 The Eight-Consciousness Model Can Inform the Theory of Bounded Rationality -- 4.5 The Conceptual Separation of Cognitive Bounds from (Bounded) Rationalizing -- 4.5.1 (Bounded) Rationality: Substantive Rationality vs Procedural Rationality -- 4.5.2 The Need for More Precise Terms: Cognitive Bounds and Rationalizing -- 4.5.3 Moving 'Rationalizing' to the Front Seat -- 4.6 The Social Extensibility of Cognitive Bounds -- 4.7 Cultural Distance Is Central to Transaction Cost Economics by Affecting Mental Bounds -- 4.8 Cultural Distance Contextualizes Effectuation -- 4.9 Modeling Bounded Rationality: The Increasingly More Efficient Use of Cognitive Bounds -- 4.10 The Manas-Centric, CR-Informed Approach Informs Penrose (1959) -- 4.11 Boundedly Rational Behavior Arising from CD: Assimilation Bias and Contrast Bias -- 4.11.1 Assimilation Bias and Contrast Bias , 4.11.2 'Cultural Overconfidence Bias' (Over-Optimism) and 'Cultural Discounting Bias' (Over-Pessimism) -- 4.12 A Behavioral Theory Should Be a Self-Conscious Theory -- References -- 5 Toward Behavioral Transaction Cost Economics and Beyond -- 5.1 A Recap of Proposals Developed in Previous Chapters to Render TCE Behavioral -- 5.2 Prospect Theory Provides the Overarching Generative Mechanisms in Decision-Making -- 5.2.1 Prospect Theory in a Nutshell -- 5.2.2 Prospect Theory Needs to Be Contextualized in Critical Realism -- 5.2.3 Uncertainty Controllability and the Framing Effect -- 5.2.4 Coping with Uncertainties: The Impacts of Optimism/Pessimism Arising from CD -- 5.3 A Broader Behavioral Framework: Behavioral TCE and Behavioral ROT as Two Sides of the Same Coin -- 5.4 Advantages of the Behavioral TCE Framework -- 5.5 Implications of Assumptional Symmetry: Structural Model Vs. Reduced Model -- 5.5.1 Assumptional Symmetry and Theoretical Advancement -- 5.5.2 Assumptional Symmetry and Structure Model vs Reduced Model -- References -- 6 An Empirical Application to MNC Subsidiary Ownership -- 6.1 Hypothesis Development -- 6.1.1 National Ethical Attitude and Subsidiary Ownership Level -- 6.1.2 Cultural Distance and Subsidiary Ownership Level-A Reconceptualization -- 6.1.3 The Interaction Between National Ethical Attitude and Cultural Distance -- 6.1.4 The Three-Way Interaction Between National Ethical Attitude, Cultural Distance, and Host Country Experience -- 6.2 Date and Measures -- 6.2.1 Dependent and Independent Variables -- 6.2.2 Control Variables -- 6.3 Method -- 6.4 Results -- References -- 7 Implications, Future Directions, and Conclusion -- 7.1 A Bird's-Eye View of the Concepts Used in the Book -- 7.2 Theoretical Implications for Transaction Cost Economics -- 7.3 Theoretical Implications for International Business , 7.3.1 What Should Be in the Driver's Seat: Bounded Rationality or Opportunism? -- 7.3.2 Transaction Cost Economics and Internalization Theory/OLI Paradigm -- 7.3.2.1 Relationship Between Traditional TCE and Internalization Theory/OLI Paradigm -- 7.3.2.2 Distance Unifies Behavioral TCE and OLI Paradigm -- 7.3.2.3 Behavioral TCE Subsumes the OLI Paradigm -- 7.3.3 Critical Realism Ontologizes OLI and Promises the Rebirth of International Business -- 7.4 The Potential of International Business Becoming the Base Camp for Behavioral TCE -- 7.5 Other Theoretical Implications -- 7.5.1 For Effectuation Theory -- 7.5.2 For Prospect Theory -- 7.5.3 For Penrose's (1959) Theory of the Growth of the Firm -- 7.5.4 Implications for Symmetrical Assumption Thinking and Explanatory Unification -- 7.5.4.1 Explanatory Unification: Derivational Unification vs. Ontological Unification -- 7.5.4.2 Explanatory Unification and the OLI Paradigm -- 7.6 Practical Implications -- 7.6.1 Implications for Management Focus -- 7.6.2 Implications for Performance, Learning, and Competitiveness -- 7.7 Future Research Directions -- 7.7.1 Resolving the 'Uncertainty Paradox' -- 7.7.2 Resolving the 'Cultural Distance Paradox': Black Box vs. Mechanism -- 7.7.2.1 It Is Erroneous to Focus on the Direct Effects of Cultural Distance -- 7.7.2.2 Studying the Effect of Cultural Distance on Ownership Level Rather Than Mode -- 7.7.2.3 Precise Conceptualization of Cultural Distance -- 7.7.2.4 Cultural Distance Is a Symmetrical Construct: Empirical Implications -- 7.7.2.5 Meta-Reviews on the Interaction Rather Than Main Effects of Cultural Distance -- 7.7.2.6 Resolving the 'Cultural Distance Paradox' of Performance -- 7.7.3 CD Is Dead, Long Live CD: A Call for a Paradigm Shift from Distance to Biases -- 7.7.4 Exploring Other Distance Measures -- 7.7.5 Exploring Other Controllable Uncertainties , 7.7.6 Use Uncertainty Controllability as a Continuous Variable -- 7.7.7 Are TCE Relationships Merely Empirical Regularities and/or Self-fulfilling Prophecy? -- 7.7.8 The Formalization of Transaction Cost Economics -- 7.8 Conclusion -- References -- Index
    Additional Edition: Erscheint auch als Druck-Ausgabe Peng, George Z. Toward Behavioral Transaction Cost Economics Cham : Springer International Publishing AG,c2020 ISBN 9783030468774
    Language: English
    Subjects: Economics
    RVK:
    Keywords: Transaktionskostenansatz
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    b3kat_BV041789888
    Format: 1100 S. , 19 cm
    Edition: 2. Aufl.
    ISBN: 9783596904167
    Series Statement: Fischer 90124 : Fischer-Klassik
    Language: German
    Author information: Mann, Thomas 1875-1955
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  • 4
    UID:
    b3kat_BV049409656
    Format: 1 Online-Ressource (187 Seiten)
    Edition: 1st ed
    ISBN: 9781000995138
    Content: This book covers aspects of data science and predictive analytics used in oil and gas industry by looking into the challenges of data processing and data modelling unique to this industry. It includes upstream management, intelligent/digital well, value chain integration, crude basket forecasting and so forth
    Note: Description based on publisher supplied metadata and other sources , Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- About the Editors -- Contributors -- Acknowledgments -- Chapter 1 Understanding the Oil and Gas Sector and Its Processes: Upstream, Downstream -- 1.1 Introduction -- 1.2 Identification of the Geological Origins of Petroleum Reservoirs and Reservoir Fluids -- 1.3 History of the Oil and Gas Industry -- 1.3.1 Ancient Oil and Gas Industry -- 1.3.2 Modern Oil and Gas Industry -- 1.3.3 The Role of the Russian Oil and Gas Industry -- 1.3.4 Royal Dutch Shell in the East Indies -- The Structure of the Modern Oil and Gas Industry -- 1.4.1 Upstream -- 1.4.2 Midstream -- 1.4.3 Downstream -- 1.5 Differences between the Conventional and Unconventional Reservoirs -- 1.5.1 Conventional Reservoirs -- 1.5.2 Unconventional Reservoirs -- 1.6 A List of the Various Disciplines that Make Up Petroleum Engineering -- 1.6.1 Exploration Stage -- 1.6.2 The Appraisal Stage -- 1.6.3 The Development Stage -- 1.6.4 Production Stage -- 1.7 Analyzing Rudimentary Engineering Methods in Exploration and Production -- 1.7.1 Role of Geoscientists -- 1.7.2 Methods of Exploration -- 1.7.3 Methods of Production -- 1.8 Interpretation of Cross-Plots -- Acknowledgement -- References -- Chapter 2 IT Technologies Impacting the Petroleum Sector -- 2.1 Introduction -- 2.2 GIS and Remote Sensing -- 2.2.1 Case Study of GIS in the Petroleum Industry 1: OMV Enterprise GIS -- 2.2.2 GIS Case Study 2: Assessment of Hurricane Effects on Gulf of Mexico Oil and Gas Production Predictions -- 2.3 Image Processing -- 2.4 SCADA and Telemetry -- 2.4.1 Telemetry -- 2.5 Geological and Geophysical Parameters -- 2.6 Introduction to ANN and Automation -- 2.6.1 ANN in the Petroleum Industry -- 2.6.2 Exploration -- 2.6.3 Drilling -- 2.6.4 Production -- 2.6.5 Reservoir -- 2.7 Different Types of Surveys -- 2.7.1 Seismic Surveys , 2.7.2 3D Seismic Survey -- 2.8 Cloud Technologies -- 2.8.1 Cloud Technologies in the Petroleum Industry -- 2.8.2 Cloud Storage Application of Petroleum Industry -- 2.9 Conclusion -- Bibliography -- Chapter 3 Data Handling Techniques in the Petroleum Sector -- 3.1 Introduction -- 3.2 BigData in O& -- G -- 3.3 BigData Administration in the Oil and Gas Sector -- 3.3.1 Data Attainment -- 3.3.2 Data Processing -- 3.4 Contemporary Frameworks in the Oil and Gas Sector -- 3.5 BigData Prospects and Challenges in the Oil and Gas Sector -- 3.5.1 Asset Enactment Controlling -- 3.5.2 Asset Risk Valuation -- 3.5.3 Virtual Operational Drill -- 3.5.4 Disaster Reaction Training -- 3.5.5 Lack of Standardization -- 3.5.6 Data Ownership and Sharing -- 3.5.7 Functionality -- 3.6 Rami Dossier in the Case of the Oil and Gas Industry -- 3.6.1 Requirement of Flexibility in the Upstream Oil and Gas Business -- 3.6.2 Identification of Mobility -- 3.6.3 Readiness Assessment Framework -- 3.7 Major Risks to Companies -- 3.8 Risk Analysis /Assessment for Organization -- Bibliography -- Chapter 4 Predictive Modelling Concepts in Petroleum Sector -- 4.1 Overview -- 4.2 Statistical Methods -- 4.2.1 Parametric vs Non-Parametric Methods -- 4.2.2 Regression and Classification -- 4.2.3 Performance Metrics for Classification and Regression -- 4.2.3.1 Performance Metrics for Classification-Confusion Matrix -- 4.2.3.2 Performance Metrics for Regression Model -- 4.3 Machine Learning Concepts -- 4.3.1 Background -- 4.3.2 Machine Learning Methods -- 4.3.2.1 Linear Regression -- 4.3.2.2 Support Vector Machine -- 4.3.2.3 Strength Weakness Opportunities Threats (SWOT) Analysis -- 4.4 The Artificial Neural Network and its Application in the Oil and Gas Sector -- 4.4.1 Introduction -- 4.4.2 Generic Development of ANN Models -- 4.4.3 Applications in the Oil and Gas Industry -- 4.4.3.1 Exploration , 4.4.3.2 Reservoir -- 4.4.3.3 Drilling -- 4.5 Concepts of Deep Neural Networks -- 4.5.1 Introduction -- 4.5.2 DNN Models -- 4.5.3 Model Evaluation Metrics -- 4.6 Case Study -- Bibliography -- Chapter 5 Supply Chain Management in the Oil and Gas Business -- 5.1 Introduction -- 5.2 Challenges in SCM -- 5.2.1 Inventory Management -- 5.2.2 Warehouse Management -- 5.2.3 Logistics -- 5.2.4 Reduction of Transport Costs -- 5.2.5 Processing a Large Amount of Information -- 5.2.6 Delay in Delivery -- 5.3 Opportunities in the Supply Chain -- 5.3.1 Customer Requirement Process -- 5.3.2 Sourcing and Supplier Management -- 5.4 Analysis -- 5.5 Introduction to ERP for SCM -- 5.5.1 Main Features of ERP -- 5.5.2 Role of ERP in SCM -- 5.5.3 Advantages of ERP in SCM -- 5.6 Case Study -- 5.6.1 Geographic Information System (GIS) Solution Enhances Inventory Control -- Bibliography -- Chapter 6 Prescriptive Analysis and Its Application in Oil and Gas Business -- 6.1 Introduction -- 6.2 Introduction to Different Types of Analytics -- 6.3 Basics of Prescriptive Analysis -- 6.4 Reservoir Simulator (Petrel) -- 6.5 Refining Simulator (Aspen-HySYS) -- 6.6 AI and Its Application in Simulation -- 6.7 Case Study on Upstream -- 6.7.1 Case Study 1: Optimizing the Exploration of Shale Oil -- 6.7.2 Case 2: Permian Basin Unconventional Hydrocarbon Extraction -- 6.8 Case Study on Downstream -- 6.8.1 Case Study 1: Supply Chain 4.0 -- 6.8.2 Supply Chain and Predictive Analytics: -- 6.8.3 Supply Chain and Big Data Analytics: -- 6.8.4 Case Study: The Norwegian Continental Shelf -- Bibliography -- Chapter 7 Future Challenges in Petroleum Sector and IT Solutions -- 7.1 Introduction -- 7.2 Challenges in the Oil and Gas Industry -- 7.2.1 Reduce Cost of Production to Remain Competitive in the Market -- 7.2.2 Improving Performance to Ensure the Valourization of Assets , 7.2.3 Reducing Carbon Footprint to Meet Stringent Governmental Standards -- 7.3 Data as a New Oil -- 7.3.1 Data Refining -- 7.3.2 Data Quality -- 7.3.3 Data Requires Infrastructure -- 7.3.4 Difference between Data and Oil -- 7.4 Challenges of Data Integration in the Oil and Gas Sector -- 7.5 Reducing Production Cost through IT Technologies -- 7.6 Case Study -- Conclusion -- Bibliography -- Chapter 8 Oil and Gas Industry in Context of Industry 4.0 -- 8.1 Introduction -- 8.2 Concepts of the Oil and Gas Industry 4.0 -- 8.3 Concepts of Digital Oilfields -- 8.4 Cloud Integration in the Oil and Gas Domain -- 8.5 Digital Transformation -- 8.6 Agile Business Transformation -- 8.7 Digital Leadership -- 8.8 Case Study -- 8.8.1 List of Case Studies on the Oil and Gas Industry -- 8.8.2 Analyzing the Barriers to Adopt Industrial Revolution in India -- References -- Index
    Additional Edition: Erscheint auch als Druck-Ausgabe Srivastava, Kingshuk Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry Milton : Taylor & Francis Group,c2023 ISBN 9781032413891
    Language: English
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