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The impact of political risk on foreign direct investment in BRICS countries
No full textTHE IMPACT OF POLITICAL RISK ON FOREIGN DIRECT INVESTMENT IN BRICS COUNTRIES
The impact of political risk on foreign direct investment in BRICS countries (1)
List of figures (5)
List of tables (5)
List of abbreviations (6)
1 Introduction (7)
1.1 Relevance (8)
1.2 Research Questions and Hypotheses (10)
1.3 Methodology (11)
1.4 Structure (13)
2 Theoretical Framework and Literature Review (15)
2.1 Political Risk and FDI (15)
2.2 Institutional Quality (23)
2.3 Foreign Market Entry Modes (26)
2.4 Role of Prior Experience (29)
2.5 State-owned enterprises (33)
2.6 FDI in the BRICS (35)
2.6.1 Overview of the BRICS economies (35)
2.6.2 Current FDI and Political Risk (38)
3 Methodology (43)
3.1 Research Design (43)
3.2 Data Collection (43)
3.3 Variables and Operationalization (46)
3.4 Panel Construction (51)
3.5 Statistical Analysis and Regression Models (53)
4 Results (58)
4.1 Descriptive Statistics (58)
4.2 Hypothesis Testing (61)
5 Discussion (68)
5.1 Contribution (71)
5.2 Limitations (72)
5.3 Implications for Future Research (74)
5.4 Conclusion (75)
6 References (77)
7 Appendix (87
Probability distributions on partitions of data: theory and applications
No full textPROBABILITY DISTRIBUTIONS ON PARTITIONS OF DATA: THEORY AND APPLICATIONS
Probability distributions on partitions of data: theory and applications (1)
Probability_Distributions_on_Exchangeable_Paritions_of_Data__Theory_and_Applications (2).pdf (1)
Preface (6)
Abstract (8)
List of Papers (8)
Contents (10)
List of Figures (12)
List of Tables (14)
Introduction (16)
Clustering: From Confirmatory to Exploratory Tool in Statistics (16)
Exchangeable Partition Space of Data (16)
Branching Graph as an Underlying Algebraic Structure of Exchangeable Random Variables (17)
References (21)
Conclusion (16)
Papers (22)
Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis (24)
Introduction (24)
Combinatorial complexity of the prior enumeration (24)
Mixture models for Bayesian cluster analysis (25)
Algorithm for computing CK, KN,k (25)
Explicit prior (26)
Induced prior on the partitions (27)
Empirical inspection of the induced priors (34)
Comparing default priors in Bayesian cluster analysis (37)
Implications for applied finite mixture analysis (41)
Summary (41)
References (41)
Appendices (41)
A New Representation of Ewens-Pitman's Partition Structure and Its Characterization via Riordan Array Sums (44)
Introduction (44)
Derivations of (II.41) (44)
Representation Theory of the Infinite Symmetric Group and Construction of Ewens-Pitman’s Partition Structure (47)
Proof for the new representation of f(;) (47)
Riordan Arrays and Modern Umbral Interpolation via Sheffer Sequences (53)
Details of the derivations of joint conditional factorial moments of partitions sizes (53)
Summary Statistics and Estimators of Ewens-Pitman’s Partition Structure Using the FTRA (59)
Conclusion and Discussion (64)
References (64)
Appendices (64)
Named Entity Swapping for Metadata Anonymization in a Text Corpus (72)
Introduction (72)
LLM Specifications and the Prompt (72)
Decision Theoretic Formulation of Named Entity Swapping (74)
Earnings Call Data (74)
Application: Prevention of Company Name Disclosure from Earnings Call Transcripts (83)
Figures 4 and 5 (83)
Discussion & Conclusion (92)
References (93)
Appendices (93
Arbeitskräfteüberlassung im Recht der DBA
No full textARBEITSKRÄFTEÜBERLASSUNG IM RECHT DER DBA
Arbeitskräfteüberlassung im Recht der DBA (1
The impact of 'please keep it' refund policies and the effect on customer relationships and future consumer behavior
No full textTHE IMPACT OF 'PLEASE KEEP IT' REFUND POLICIES AND THE EFFECT ON CUSTOMER RELATIONSHIPS AND FUTURE CONSUMER BEHAVIOR
The impact of 'please keep it' refund policies and the effect on customer relationships and future consumer behavior (2
KI als Treiber für die Automatisierung von nationalen und internationalen Geschäftsprozessen im Dienstleistungs- und Servicesektor
No full textKI ALS TREIBER FÜR DIE AUTOMATISIERUNG VON NATIONALEN UND INTERNATIONALEN GESCHÄFTSPROZESSEN IM DIENSTLEISTUNGS- UND SERVICESEKTOR
KI als Treiber für die Automatisierung von nationalen und internationalen Geschäftsprozessen im Dienstleistungs- und Servicesektor (1
Adoption and strategic integration of blockchain-based digital product passports in luxury
No full textADOPTION AND STRATEGIC INTEGRATION OF BLOCKCHAIN-BASED DIGITAL PRODUCT PASSPORTS IN LUXURY
Adoption and strategic integration of blockchain-based digital product passports in luxury (1)
1 Introduction (7)
1.1 Problem Statement (7)
1.2 Relevance (8)
1.3 Goals and Research Question (8)
1.4 Scope and Delimitations (9)
2 Literature Review (10)
2.1 Technological Innovation Luxury (10)
2.1.1 Adoption of Technological Innovation (12)
2.1.2 Barriers to Innovation: Combining Heritage with Novelty (15)
2.2 Digital Product Passports (17)
2.2.1 Key Features and Requirements of DPPs (17)
2.2.2 Technical Architectures of Digital Product Passports (19)
2.2.3 The Role of Blockchain Technology for DPPs in Luxury (21)
2.2.4 Strategic Opportunities of DPPs in Luxury (23)
2.2.4.1 Supply chain transparency and sustainability (23)
2.2.4.2 Counterfeit Prevention (24)
2.2.4.3 Customer Relationships (25)
2.2.5 Contributions of DPPs to Brand Differentiation (27)
2.2.6 Challenges and Risks (28)
2.3 Strategic Integration of Digital Product Passports (31)
2.3.1 Balancing Heritage and Innovation: Ambidexterity for DPP Integration (32)
2.3.2 Implications for DPP Implementation (33)
2.4 Current Digital Product Passports Adoption in Luxury (35)
2.4.1 Early Adopters of DPPs in the Luxury Industry (35)
3 Methodology (40)
3.1 Research Design (40)
3.2 Data Collection (40)
3.3 Data Analysis (42)
4 Results (44)
4.1 Technological Innovation in Luxury (44)
4.2 DPP Adoption (45)
4.3 Strategic Opportunities of DPPs (46)
4.4 Strategic Integration of DPPs (48)
4.5 Implementation of DPPs (50)
4.6 Implementation Challenges (52)
4.7 Customer Perspective on DPPs (53)
4.8 Contribution to Brand Differentiation (55)
4.9 Future Developments (56)
5 Discussion (57)
6 Conclusion (69)
7 Limitations and Future Research (71)
8 References (72)
9 Appendix (80)
9.1 Interview Guideline (80)
9.2 Interview Transcripts (81
Evaluating fine-tuned transformer models for sarcasm detection in video game reviews
No full textEVALUATING FINE-TUNED TRANSFORMER MODELS FOR SARCASM DETECTION IN VIDEO GAME REVIEWS
Evaluating fine-tuned transformer models for sarcasm detection in video game reviews (1)
Abstract (8)
Keywords (8)
1 Introduction (9)
1.1 Background (9)
1.2 Problem Statement (10)
1.3 Aim of the Study and Research Questions (10)
1.4 Method (11)
1.5 Structure of the Study (11)
2 Literature Review (13)
2.1 Video Game Industry (13)
2.2 Review Usefulness (13)
2.2.1 Influence and Impact of Online Reviews (13)
2.2.2 Online Reviews in the Video Game Industry (14)
2.3 Sarcasm in Online Reviews (16)
2.4 Sarcasm Detection (18)
2.4.1 Automated Sarcasm Detection (18)
2.4.2 Sarcasm Detection using Transformers (20)
2.4.3 Current State of Research for Video Game Reviews (21)
3 Methodology (24)
3.1 Research Objective (24)
3.2 Research Design (24)
3.2.1 Transformers (24)
3.2.2 RoBERTa vs BERT (25)
3.3 Data Collection (25)
3.3.1 Game Selection (25)
3.3.2 Data Scraping (26)
3.4 Model Building Process (28)
3.4.1 Data Cleaning (28)
3.4.2 Data Sampling (28)
3.4.3 Manual Annotation (28)
3.4.4 Data Preprocessing (30)
3.4.5 Model Building (30)
3.4.5.1 Model Training and Testing (31)
3.4.5.2 Hyperparameter Fine-Tuning (31)
3.4.5.3 Generalisability Testing (32)
3.4.5.4 Helpfulness Classification (32)
3.4.5.5 Adding Features to the Model (32)
3.4.5.6 Combined Dataset Modelling (33)
3.5 Methodological Limitations (33)
3.6 Summary (33)
4 Results (34)
4.1 Data Descriptives (34)
4.2 Baseline Model Performance (36)
4.3 Hyperparameter Fine-Tuning (37)
4.4 Evaluation of Best-Performing Model (38)
4.5 Generalisability Test (39)
4.6 Feature-Enhanced Model (41)
4.7 Helpfulness Classification (43)
4.8 Combined Dataset Modelling (44)
5 Discussion (47)
6 Limitations (50)
7 Conclusion (52)
8 References (53)
Appendix A – Model Performance Scores (59)
Appendix B – Code (64
The role of digitalization in achieving Austria’s climate neutrality target in the transportation sector
No full textTHE ROLE OF DIGITALIZATION IN ACHIEVING AUSTRIA’S CLIMATE NEUTRALITY TARGET IN THE TRANSPORTATION SECTOR
The role of digitalization in achieving Austria’s climate neutrality target in the transportation sector (1
Still carrying?
No full textSTILL CARRYING?
Still carrying? (1)
Introduction (5)
Literature Review (8)
Introduction (8)
Notional Foundations of the Carry Premium (9)
Post-2013 Performance of Carry Strategies (10)
Currency Markets (10)
Commodity Futures (10)
Equity and Cross–Asset Carry (11)
Explaining the Decay (12)
Data and Methodology (15)
Data Sources (15)
Sample (15)
Carry Computation (17)
Equity Carry (18)
Commodity Carry (19)
Portfolio Construction (20)
Ranking Securities by Carry (21)
Transforming Ranks to Raw Scores (21)
Normalizing Weights to Unit Gross Exposure (22)
Portfolio Return Calculation (22)
Equal-Weighted Benchmark (23)
Checks and Validation (23)
Long-Only Carry (23)
Improving Carry Strategy Further (25)
Combining Carry with the Fama–French Three-Factors (25)
Combining Carry with the Momentum Factor (30)
Empirical Results (35)
Overview (35)
Commodities Carry vs. Equities Carry (36)
Long-Short Carry (37)
Long-Only Carry (42)
Carry and FF3 Factors (43)
Carry and Momentum Factor (48)
Discussion (53)
Implementation Constraints: Turnover and Transaction Costs (53)
Turnover and Reallocation Dynamics in Carry Strategies (53)
Putting a price on trading (54)
Why some blends might survive (54)
Practical lessons and the road ahead (55)
Conclusion (57)
Bibliography (57)
Code and Data Sources (65