26617 research outputs found
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Institutional cooperation across borders
No full textINSTITUTIONAL COOPERATION ACROSS BORDERS
Institutional cooperation across borders (1)
Table of Tables (5)
Table of Figures (6)
1. Abstract (7)
2. Introduction (8)
3. Theoretical Background (10)
3.1. Characteristics and Challenges of Traditional HEI Governance (12)
3.1.1. Purpose: Education, Research, and Third Mission (13)
3.1.2. Structure: Loose coupling (13)
3.1.3. Narratives: Competing (14)
3.1.4. Governance: Shared & Consensus Driven (15)
3.1.5. Working Styles: Professional Autonomy and Bureaucracy (16)
3.1.6. National Forces: Diverse and Tense (16)
3.1.7. Institutional Culture: Entrenched Rituals (17)
3.1.8. Dynamics of Change: Inertia and Incremental Adjustments (18)
3.2. Theoretical Approaches to Understanding MJMDA Governance (19)
3.2.1. Rational Model (19)
3.2.2. Garbage Can Model (19)
3.2.3. Political Decision-Making (20)
3.2.4. Incremental and Path Dependence Model (20)
3.2.5. Bureaucratic model (21)
3.2.6. Collegial Model (21)
3.2.7. Resource Dependence Theory (22)
3.2.8. Network & Multi-Stakeholder Governance (23)
3.2.9. Dynamic Capabilities (24)
3.2.10. Summary of theoretical frameworks (24)
3.3. Multilateral Joint Degree Alliances (MJMDAs): Concept and Complexity (25)
3.3.1. How MJMDAs differ from bilateral or national joint programs (25)
3.3.2. MJMDA Structure & Strategic purpose (26)
3.3.3. Regulatory, Legal, and Policy Challenges (28)
3.3.4. European Initiatives supporting the development of MJMDA (28)
3.3.5. Structural complexity (30)
3.3.6. Curricular & cultural coordination (31)
3.3.7. Paradoxes & Tensions (32)
4. Field of Investigation & Alliance Analysis (36)
4.1. CEMS (37)
4.1.1. History (37)
4.1.2. Vision & Values (38)
4.1.3. Curriculum & Program Structure (38)
4.1.4. Governance structure (39)
4.2. QTEM (41)
4.2.1. History (42)
4.2.2. Vision & Values (42)
4.2.3. Curriculum & Program Structure (43)
4.2.4. Governance structure (44)
4.3. Governance structure of further Programs (44)
5. Methodology (49)
5.1. Research question and objectives (49)
5.2. Research design (51)
5.2.1. Selection of Alliances & Experts (51)
5.2.2. Data Collection & Data Protection (53)
5.2.3. Coding and Identification of Themes (53)
6. Findings (59)
6.1. Governance Structures and Roles (59)
6.2. Decision-Making and Power Dynamics (60)
6.3. Operational Coordination and Administrative (62)
6.4. Strategic Purpose, Identity, and Shared Values (65)
6.5. Interpersonal Dynamics and Social Capital (68)
6.6. External Challenges and Environmental Complexity (69)
6.7. Summary of Key Findings (71)
7. Discussion & Implications (74)
7.1. Key Findings through Theoretical Lenses (74)
7.2. Conditions for Effective Governance in MJMDAs (78)
7.3. Implications for Traditional HEIs (81)
7.4. Implications for Policy and Practice (83)
8. Limitations & further Research (85)
8.1. Limitations (85)
8.2. Further Research (86)
9. Conclusion (88)
10. References (89)
11. Appendix (101)
11.1. Use of AI (102)
11.2. Interview Guideline (104)
11.3. Thematic Analysis: Themes and Sub-Themes (107)
11.4. Overview of further MJMDA Structures (114)
11.4.1. 4EU+ (117)
11.4.2. ARQUS (118)
11.4.3. EC2U (120)
11.4.4. EU-CONEXUS (120)
11.4.5. FILMEU (121)
11.4.6. SEA EU (123)
11.4.7. ULYSSEUS (124)
11.4.8. UNIC (126)
11.4.9. UNIVERSEH (127)
11.4.10. Unite! (128)
11.4.11. EIT Digital (129
Autonomy and competence in the age of AI
No full textAUTONOMY AND COMPETENCE IN THE AGE OF AI
Autonomy and competence in the age of AI (1
Mission-Driven performance measurement: an exploratory study of climate-focused startups
No full textMISSION-DRIVEN PERFORMANCE MEASUREMENT: AN EXPLORATORY STUDY OF CLIMATE-FOCUSED STARTUPS
Mission-Driven performance measurement: an exploratory study of climate-focused startups (1
Using artificial neural networks to approximate option prices and extract implied volatilities under the Black-Scholes and Heston models
No full textUSING ARTIFICIAL NEURAL NETWORKS TO APPROXIMATE OPTION PRICES AND EXTRACT IMPLIED VOLATILITIES UNDER THE BLACK-SCHOLES AND HESTON MODELS
Using artificial neural networks to approximate option prices and extract implied volatilities under the Black-Scholes and Heston models (1)
Introduction (8)
Literature review (10)
Option-pricing models and computational complexity (10)
Artificial neural networks as a viable option (12)
Methodology (14)
Theoretical models for option pricing (14)
The Black-Scholes model (14)
Implied volatility (Black-Scholes model) (16)
The Heston model (17)
The COS method (18)
Data generation (25)
The parameter intervals (25)
The complexity of generating the datasets (30)
Artificial neural network architecture (30)
Introduction to artificial neural networks (ANNs) (31)
Hyperparameter optimization (34)
Learning rate optimum (37)
Evaluation metrics (38)
Pipelines for implied volatility extraction under the Heston model (39)
Results (41)
Computing and coding environment (41)
The Black-Scholes neural network (BS-ANN) (42)
The implied volatility neural network (IV-ANN) (43)
The Heston neural network (Heston-ANN) (46)
The Heston model and implied volatility (48)
Implied volatility surface construction (50)
Speed tests (52)
Discussion (54)
ANN accuracy (54)
Limitations and improvements (55)
Further work (56)
Conclusion (58)
Appendices (62)
Chapter (63)
Brent's method (algorithm) (64)
Chapter (65)
Heston n-th cumulants (65)
Chapter (66)
Black-Scholes price generation function (66)
Data generation function for Black-Scholes (67)
Brent's method used to generate implied volatitilities (67)
Data generation function for IV dataset (68)
Replication of the COS method (both call and put option) (69)
Data generation function for Heston (72)
BS_ANN architecture (73)
Heston_ANN architecture (75
How to bring irrational human behaviour into business models
No full textHOW TO BRING IRRATIONAL HUMAN BEHAVIOUR INTO BUSINESS MODELS
How to bring irrational human behaviour into business models (1
The relation between relative income mobility of households and voting behaviour in the 2024 US presidential election
No full textTHE RELATION BETWEEN RELATIVE INCOME MOBILITY OF HOUSEHOLDS AND VOTING BEHAVIOUR IN THE 2024 US PRESIDENTIAL ELECTION
The relation between relative income mobility of households and voting behaviour in the 2024 US presidential election (1)
Introduction (4)
Understanding America Study Data (7)
Descriptive Analysis: Relative Income Mobility (11)
Participation (13)
Voting for Trump (14)
Empirical Strategy (16)
Relative Income Mobility Results (17)
Rank Change Robustness (20)
Rank and Participation (20)
Rank and Trump Support (22)
Limitations (23)
Conclusion (24)
References (25)
Appendix (28
Toward a global social-ecological transformation
No full textTOWARD A GLOBAL SOCIAL-ECOLOGICAL TRANSFORMATION
Toward a global social-ecological transformation (1)
Abstract (2)
Acknowledgements (3)
List of Figures (6)
List of Abbreviations (7)
Toward a Global Social-Ecological Transformation: Flattening the Hierarchies of Environmental Degradation, Currencies, and Production (9)
1. Setting the Scene: Global Trade and Its Social and Ecological Effects (11)
1.1 Global Trade and Economic Development (11)
1.2 Global Trade and Finance (13)
1.3 Global Trade and Ecological Crises (14)
1.4 Global Trade and Social Inequality (16)
2. Theoretical Background (17)
2.1 Global Trade and Economic Development (17)
2.1.1 Orthodox Approaches to Trade and Global Economic Development (17)
2.1.2 Heterodox Approaches to Trade and Global Economic Development (20)
2.1.3 Interim Conclusion (25)
2.2 Hierarchies of Peripheral Subordination (26)
2.2.1 Ecologically Unequal Exchange and the Hierarchy of Environmental Degradation (28)
2.2.2 International Financial Subordination and the Hierarchy of Currencies (30)
2.2.3 Global Value Chains and the Hierarchy of Production (34)
2.2.4 The Nexuses of the Hierarchies of Peripheral Subordination (37)
2.2.5 Interim Conclusion (38)
2.3 Global Social-Ecological Transformation (38)
2.3.1 (Social-Ecological) Transformation (39)
2.3.2 Strategy of Multi-Level Transformation (39)
2.3.3 Interim Conclusion (45)
3. Methodology (45)
3.1 Metatheoretical Grounding: Ontology and Epistemology (45)
3.2 Method: Narrative Literature Review (47)
4. Results (48)
4.1 Flattening the Hierarchy of Environmental Degradation (49)
4.1.1 Decarbonization and Dematerialization in the Global North (49)
4.1.2 Reorganization of Extractive Activities (52)
4.2 Flattening the Hierarchy of Currencies (55)
4.2.1 Monetary Transfers from the Core to the Periphery (55)
4.2.2 Tax Reforms (58)
4.2.3 New International Financial Architecture (60)
4.3 Flattening the Hierarchy of Production (64)
4.3.1 Regionalization and Autonomous Development in the Global South (65)
4.3.2 Reformation and Democratization of International Economic Governance (68)
5. Discussion (71)
5.1 Relating the Approaches and Policies to Each Other and to Other Hierarchies (72)
5.2 Implications for the Strategy of Multi-Level Transformation (76)
5.3 Limitations and Future Research (81)
6. Conclusion and Outlook (83)
References (86
Internationalization strategies of top universities
No full textINTERNATIONALIZATION STRATEGIES OF TOP UNIVERSITIES
Internationalization strategies of top universities (1
Overtourism, protest, and tourist demand
No full textOVERTOURISM, PROTEST, AND TOURIST DEMAND
Overtourism, protest, and tourist demand (1
Short-term rental regulation and market adjustment
No full textSHORT-TERM RENTAL REGULATION AND MARKET ADJUSTMENT
Short-term rental regulation and market adjustment (1)
Introduction (3)
Background (4)
Platform Economics (4)
Housing Economics (4)
Neighborhood-level effects: gentrification and displacement (5)
Supply-Side Mechanisms: Host Heterogeneity (5)
Short-Term Rental Regulations (5)
Data (6)
Data Source (7)
Descriptive Statistics (7)
Methodology (12)
Difference-in-Differences Model (13)
Matched Sample Difference-in-Differences (14)
Host Exit Analysis (15)
Results (16)
DID results (16)
Exit Analysis Results (17)
Discussion and Limitations (19)
Conclusion (21)
Appendix (24