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Die Erstellung eines Fragebogens zur Identifikation und Messung der Verfügbarkeitsheuristik
No full textDIE ERSTELLUNG EINES FRAGEBOGENS ZUR IDENTIFIKATION UND MESSUNG DER VERFÜGBARKEITSHEURISTIK
Die Erstellung eines Fragebogens zur Identifikation und Messung der Verfügbarkeitsheuristik (1)
Abbildungsverzeichnis (4)
Tabellenverzeichnis (4)
1 Einleitung (5)
1.1 Problemstellung und Zielsetzung (5)
1.2 Aufbau der Arbeit (7)
2 Verfügbarkeitsheuristik (8)
2.1 Heuristiken (8)
2.1.1 Heuristiken zur schnellen Urteilsfindung (9)
2.1.2 Heuristiken zur Komplexitätsreduzierung (10)
2.2 Beschreibung der Verfügbarkeitsheuristik (11)
2.2.1 Die ursprüngliche, enge Definition (11)
2.2.2 Die spätere, weite Definition (14)
2.2.3 Die erlebte Abrufleichtigkeit (15)
2.3 Einflussfaktoren der Verfügbarkeit (16)
2.3.1 Aktualität (16)
2.3.2 Anschaulichkeit (17)
2.3.3 Auffälligkeit (18)
2.3.4 Affektive Kongruenz (19)
2.4 Anwendungsbereiche aus der Literatur (20)
2.4.1 Marketing und Konsumentenverhalten (20)
2.4.2 Risikowahrnehmung (22)
2.4.3 Finanzwirtschaft (25)
3 Theoretische Grundlagen der Fragenbogenerstellung (30)
3.1 Fragenkonstruktion (30)
3.1.1 Fragenformulierung (30)
3.1.2 Fragetypen (31)
3.1.3 Skalenkonstruktion (32)
3.2 Zusätzliche Gestaltungsaspekte von Fragebögen (33)
3.2.1 Einleitung (33)
3.2.2 Hinweise zum Ausfüllen (33)
3.3 Gütekriterien (34)
4 Erstellung und Analyse der Fragen zur Identifikation und Messung der Verfügbarkeitsheuristik (35)
4.1 Auswahl und Interpretation der Fragen (35)
4.1.1 Frage 1 – Einschätzung der Wortfrequenz (36)
4.1.2 Frage 2 – Häufigkeitsschätzung von Pfaden (38)
4.1.3 Frage 3 – Einschätzung von Kombinationen (41)
4.1.4 Frage 4 – Konsumentenverhalten (44)
4.1.5 Frage 5 – Risikowahrnehmung (46)
4.1.6 Frage 6 – Aktienkauf (Medien und Handelsvolumen) (48)
4.1.7 Frage 7 – Persönliche Empfehlung (50)
4.1.8 Frage 8 – Verlässliche Datenquelle vs. Anekdote (53)
4.1.9 Frage 9 – Familiarity Bias (56)
4.1.10 Frage 10 – Home Bias (58)
4.1.11 Frage 11– Aktuelle Marktlage (60)
5 Debiasing (63)
6 Conclusio (66)
Literaturverzeichnis (68)
Anhang (73)
A. Fragebogen zur Identifikation und Messung der Verfügbarkeitsheuristik (73)
B. Zusammengefasste Ergebnisse des Pretests (82)
C. Tatsächliche Todeszahlen zu Frage 4 (85
Improving stock return predictions with European Central Bank communication using machine learning models
No full textIMPROVING STOCK RETURN PREDICTIONS WITH EUROPEAN CENTRAL BANK COMMUNICATION USING MACHINE LEARNING MODELS
Improving stock return predictions with European Central Bank communication using machine learning models (1)
Introduction (6)
Motivation (6)
Research Questions (7)
Structure (7)
Literature Review (8)
Effects of Central Bank Communication on Financial Markets (8)
Quantifying Central Bank Communication Effects (9)
Common Econometric Models (9)
Methodology (12)
ECB Communication (12)
Hawk-Dove Index (13)
Eurostoxx 50 Index (18)
Exploratory Analysis (19)
Technical Indicators (21)
Predictive Machine Learning Models (24)
Theoretical Overview (24)
Model Fitting and Evaluation (28)
Model Implementation (30)
Results (33)
Full Data Set (33)
Subsetting on Communication Event Days (36)
Discussion and Conclusion (38)
References (40)
Appendix (44)
Hawk-Dove Index (44)
Eurostoxx 50 Index Components (47)
R Code (49)
R and Package Versions (49)
Setup (51)
Hawk-Dove Index (52)
Eurostoxx 50 Index Exploratory Analysis (53)
Machine Learning Models (54
United for nature
No full textUNITED FOR NATURE
United for nature (1)
1. Introduction (6)
1.1 The Urgency of Environmental Degradation and the Imperative for Action (6)
1.2 Problem Statement (8)
1.3 Research Question (10)
1.4 Research Objectives (10)
1.5 Significance of the Study (10)
1.6 Thesis Structure Overview (12)
Chapter 2: Literature Review and Conceptual Framework (13)
2.1 Cross-Sectoral Partnerships for Environmental Sustainability (14)
2.1.1 Theoretical Underpinnings of NGO-MNC Collaboration (14)
2.1.2 Motivations for Partnership: NGO and MNC Perspectives (14)
2.1.3 Dynamics and Challenges in Collaborations (16)
2.1.4 Frameworks for Analyzing Partnership Mechanisms and Governance (17)
2.2 Environmental Restoration and Measures of Effectiveness (19)
2.2.1 Defining Ecological Restoration (19)
2.2.2 Metrics for Measuring Restoration Effectiveness (20)
2.2.3 Challenges in Achieving Effective Environmental Restoration (21)
2.3 Sustainable Business Models (SBMs) and Corporate Approaches to Nature (22)
2.3.1 The Evolution of Corporate Sustainability: From CSR to SBMs (23)
2.3.2 Core Components and Archetypes of Sustainable Business Models (24)
2.3.3 Corporate Biodiversity Stewardship and Management Frameworks (26)
2.3.5. Stakeholder Integration and the Operationalization of Sustainable Business Models (30)
2.3.5 The Role of External Partnerships in SBM Implementation (31)
2.4 The Post-Socialist Regional Context: The Balkans (33)
2.5 Analytical Framework (34)
Chapter 3: Methodology (35)
3.1 Research Philosophy and Approach (35)
3.2 Research Design: In-Depth Single Case Study (36)
3.3 Data Collection Methods: Comprehensive Document Analysis (36)
3.3.1 Document Identification and Selection Criteria (37)
3.3.2 Types of Documents Included (37)
3.4 Data Analysis: Framework-Driven Thematic Analysis (38)
3.4.1 Operationalization of the Analytical Framework (38)
3.4.2 Thematic Analysis of Documents (38)
3.5 Trustworthiness and Rigor (39)
3.6 Ethical Considerations (39)
Chapter 4: Case Study Findings: The IKEA and WWF Partnership (40)
4.1 Overview of the IKEA and WWF Partnership in the Balkans (40)
4.1.1 History, Evolution, and Strategic Goals (40)
4.1.2 Scope of Restoration Activities within the CEE Region (41)
4.1.3 Documented Resources and Commitments (42)
4.2 Case-Specific Context: WWF's Engagement with IKEA (42)
4.2.1 WWF's Corporate Engagement Strategy (42)
4.2.2 IKEA's Global Sustainability and Forest Positive Ambitions (43)
4.2.3 Overview of Existing Literature on the IKEA-WWF Partnership (43)
4.3 Partnership Mechanisms and Governance (44)
4.3.1 Stated Motivations and Drivers for Collaboration (44)
4.3.2 Described Decision-Making Structures and Governance (44)
4.3.3 Power Dynamics and Resource Exchange (45)
4.3.4 Application of Cross-Sectoral Partnership Theory (45)
4.3.4.1 Alignment with Cross-Sectoral Partnership Models (45)
4.3.4.2 Tensions and Boundaries Revealed by Cross-Sectoral Partnership Models (46)
4.4 Application of Stakeholder Integration Models and Sustainable Business Models (47)
4.4.1 Analysis through the Value Mapping Tool (Bocken et al., 2015) (47)
4.4.1.1Value Captured (47)
4.4.1.2 Value Destroyed (48)
4.4.1.3 Value Missed and New Value Opportunities (48)
4.4.2 Analysis through Stakeholder and Systems Frameworks (Boons & Lüdeke-Freund, 2013) (48)
4.4.3 Analysis through the Systems-Oriented Innovation Framework (Evans et al., 2017) (49)
4.4.4 Analysis though the SBM Archetypes (Bocken et al., 2014) (50)
4.5 Documented Contributions to Environmental Restoration Effectiveness (51)
4.5.1 Documented Ecological Outcomes (52)
4.5.2 Documented Process-Based Outcomes (52)
4.5.3 Critical Perspectives on Reported Effectiveness (52)
4.6 Identified Challenges and Enabling Factors in the Post-Socialist Context (53)
4.6.1 Documented Challenges (53)
4.6.2 Documented Enabling Factors (54)
Chapter 5: Discussion (55)
5.1 Answering the Research Question: The Extent of the Partnership's Contribution (55)
5.1.1 Synthesizing the Evidence of Effectiveness (55)
5.1.2 Discussing the Dimensions and Nuances of "Effectiveness" (56)
5.2 Theoretical Implications (57)
5.2.1 Contributions to Theories of Cross-Sectoral Partnerships (57)
5.2.2 Insights into the Application of Sustainable Business Models (57)
5.2.3 Reflections on the Conceptual Framework (57)
5.3 The Influence of the Post-Socialist Context (58)
5.3.1 How Regional Characteristics Shaped the Partnership (58)
5.3.2 Broader Implications for Restoration in Transition Economies (58)
5.4 Critical Assessment of the Partnership and its Limitations (59)
Chapter 6: Conclusion (60)
6.1 Summary of Key Findings (60)
6.2 Concluding Answer to the Research Question (60)
6.3 Practical Recommendations (61)
6.3.1 For MNCs and NGOs in Environmental Partnerships (61)
6.3.2 For Policymakers in the Balkan Region (61)
6.4 Limitations of the Study (62)
6.5 Avenues for Future Research (62)
References (64)
Appendix A: Methodological Audit Trail (85)
1. Data Log (85)
2. Coding Scheme (Derived from Analytical Framework) (89)
3. Coding Excerpt Example (90)
4.1 Sample Memo on Theme Development (91)
4.2 Sample Memo on Theme Development (92
Flexible working models for managers and leaders and their impacts on leadership identity development
No full textFLEXIBLE WORKING MODELS FOR MANAGERS AND LEADERS AND THEIR IMPACTS ON LEADERSHIP IDENTITY DEVELOPMENT
Flexible working models for managers and leaders and their impacts on leadership identity development (1
Between performance and persona
No full textBETWEEN PERFORMANCE AND PERSONA
Between performance and persona (1
Factor timing in currency markets
No full textFACTOR TIMING IN CURRENCY MARKETS
Factor timing in currency markets (1)
1 Introduction (6)
2 Methodology (9)
2.1 Currency Net Log Excess Returns (9)
2.2 Factor Construction (9)
2.3 Timing Signals (10)
2.4 Performance Evaluation (12)
3 Data (14)
4 Empirical Analysis (16)
4.1 Untimed Factors (16)
4.2 Timed Factors Performance (19)
4.3 Developed and Emerging Markets Performance (25)
5 Conclusion (30)
References (32)
A Appendix (34)
A.1 Sample period per currency (34)
A.2 Individual portfolios performance per strategy (36)
A.3 Performance metrics for all strategies (full sample) (43)
A.4 Alphas for timed strategies (48)
A.5 Developed and emerging markets currencies classification (53
Die Konzernhaftung für Kartellrechtsverstöße
No full textDIE KONZERNHAFTUNG FÜR KARTELLRECHTSVERSTÖSSE
Die Konzernhaftung für Kartellrechtsverstöße (1
Vermittlung von Kinderrechten im Unterricht in der Handelsschule
No full textVERMITTLUNG VON KINDERRECHTEN IM UNTERRICHT IN DER HANDELSSCHULE
Vermittlung von Kinderrechten im Unterricht in der Handelsschule (2
Is air in India casteist?
No full textIS AIR IN INDIA CASTEIST?
Is air in India casteist? (1)
Introduction (4)
Motivation (6)
The Caste System (6)
Dalits (Untouchables) Exclusion (6)
Adivasis (Tribals) Exclusion: (7)
Coal Plants in India (7)
Modern Era and Research Gap (8)
Literature Review (10)
Data and Methodology (12)
Socio-Economic and Caste Census of India (12)
Satellite Derived PM2.5 (12)
Vegetation Continuous Fields (13)
Global Power Plants Database (13)
Political Candidates of India (14)
Satellite Derived Elevation and Terrain Ruggedness (14)
Dissimilarity Index (15)
Measure of Exposure: (19)
Empirical Model (21)
Spatial Econometric Model: (21)
Results (28)
Caste Dissimilarity Index and PM2.5 (28)
Primary Education and PM2.5 (29)
Income and PM2.5 (30)
Natural Factors and PM2.5 (30)
Political Candidates by Caste and PM2.5 (31)
Caste Dissimilarity Index and Distance: (33)
Primary Education and Distance: (33)
Income and Distance: (34)
Natural Factors and Distance: (34)
Political Candidates and Distance: (35)
Conclusion (37)
Appendix (45
Gründe für den Gender Funding Gap bei Startups aus Perspektive der Investoren
No full textGRÜNDE FÜR DEN GENDER FUNDING GAP BEI STARTUPS AUS PERSPEKTIVE DER INVESTOREN
Gründe für den Gender Funding Gap bei Startups aus Perspektive der Investoren (1)
Abbildungsverzeichnis (7)
1. Abstrakt (9)
1.1 Einleitung (10)
2. Literaturrecherche (13)
2.1 Grundlagen des Start-up Fundings (13)
2.1.1 Definition des Start-ups (13)
2.1.2. Kontaktaufnahme mit InvestorInnen (15)
2.2 Venture Capitalists (17)
2.3. Gender Funding Gap (18)
2.3.1. Gender Homophilie Theorie (21)
2.4. Soziales Kapital (22)
2.4.1. Gender Bias und Soziales Kapital (24)
2.4.2. Diversität im Gründungsteam von Start-Ups (25)
3. Faktoren für die Beeinflussung des Gender Funding Gaps (26)
3.1 InvestorInnen bezogene Faktoren (27)
3.1.1. Männlicher Kontext der VC-Branche (28)
3.1.2. Geschlechter Stereotypen (29)
3.1.3. Geschlechtsspezifische Vorurteile (30)
3.1.4. Geschlecht des InvestorsIn (32)
3.1.5. Beziehung zwischen InvestorIn und GründerIn (34)
3.1.6. Ressourcenallokation durch den/die InvestorIn (35)
3.2. Venture Capitalist bezogene Faktoren (37)
3.2.1. Branche des Start-Ups (37)
3.2.2. Alter, Größe und Wachstumspotenzial eines Unternehmens (38)
3.2.3. Management-Team (39)
3.3 GründerInnen bezogene Faktoren (39)
3.3.2. Soziales Kapital (41)
3.3.3. Ambition und Risikobereitschaft (41)
4. Einfluss von Gender Bias auf die Startup – Finanzierung (42)
5.Methodologie (44)
5.2. Interviewdurchführung (46)
5.3 Qualitative Datenanalyse nach Gioia (48)
6.Ergebnisse (52)
7.Diskussion (56)
9. Limitationen, ethische Aspekte und Empfehlungen für weiterführende Forschung (58)
10. Conclusio (59)
Literaturverzeichnis (62)
10. Anhang (69