26617 research outputs found
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How do companies in high-impact industries view their role in climate change mitigation and the broader sustainability landscape
No full textHOW DO COMPANIES IN HIGH-IMPACT INDUSTRIES VIEW THEIR ROLE IN CLIMATE CHANGE MITIGATION AND THE BROADER SUSTAINABILITY LANDSCAPE
How do companies in high-impact industries view their role in climate change mitigation and the broader sustainability landscape (1)
List of Figures (3)
List of Tables (3)
1. Introduction (4)
2. Literature review (5)
2.1 Sustainability definition and environmental sustainability regulations in the EU (6)
2.2 Sustainability marketing (8)
2.3 Responsibilization concept (11)
2.4 Defining actor responsibilities in the environmental sustainability context (12)
2.4.1 System-driven sustainability marketing (Government responsibilities) (13)
2.4.2 Consumer-driven sustainability marketing (Consumer responsibilities) (14)
2.4.3 Business-driven sustainability marketing (Company responsibilities) (17)
3. Research question (23)
4. Methodology (26)
5. Findings (36)
5.1. Definition of sustainability and scope of activity (37)
5.2. Rationale: motivations to engage into environmental actions (39)
5.3. Action: decision-making and implementation of sustainability initiatives (43)
5.4. Mapping: allocation of responsibility by companies (48)
5.4.1. Company responsibilities (49)
5.4.2. Consumer responsibilities (53)
5.4.3. Government responsibilities (55)
5.5. Barriers to growth in sustainability (58)
6. Discussion (61)
7. Limitations and Future research (72)
8. Use of AI tools (75)
Sources: (76)
Appendix (83)
Appendix 1: Interview guide (83)
Appendix 2: Detailed coding tree on NVivo (85
Wie beeinflusst das Lieferkettensorgfaltspflichtengesetz (LkSG) die strategische Ausgestaltung und Umsetzung der Corporate Social Responsibility (CSR) in der bayerischen Automobilbranche?
No full textWIE BEEINFLUSST DAS LIEFERKETTENSORGFALTSPFLICHTENGESETZ (LKSG) DIE STRATEGISCHE AUSGESTALTUNG UND UMSETZUNG DER CORPORATE SOCIAL RESPONSIBILITY (CSR) IN DER BAYERISCHEN AUTOMOBILBRANCHE?
Wie beeinflusst das Lieferkettensorgfaltspflichtengesetz (LkSG) die strategische Ausgestaltung und Umsetzung der Corporate Social Responsibility (CSR) in der bayerischen Automobilbranche? (1
Management control systems and their impact on performance in remote work environments
No full textMANAGEMENT CONTROL SYSTEMS AND THEIR IMPACT ON PERFORMANCE IN REMOTE WORK ENVIRONMENTS
Management control systems and their impact on performance in remote work environments (1)
1. Introduction (5)
1.1 Problem Statement (6)
1.2 Research Relevance (7)
1.3 Research Questions (8)
1.4 Managerial Implications (8)
1.5 Thesis Structure (9)
2. Literature Review (9)
2.1 Management Control Systems and Agency Theory (10)
2.1.1 Introduction to Management Control Systems (11)
2.1.2 Management Controls and Performance in Traditional Work Environments (14)
2.1.3 Agency Theory (16)
2.2 Impact of COVID-19 on Work Environments (18)
2.3 Management Controls and Remote Work (21)
2.4 Research Gap (22)
2.5 Hypotheses (24)
3. Methodology (25)
3.1 Experimental Design (25)
3.2 Sampling (29)
3.3 Data Collection (30)
3.4 Data Analysis (31)
4. Results (33)
4.1 Presentation of Results (33)
4.1.1 Sample description (33)
4.1.2 General Insights (34)
4.1.3 Main Statistical Analysis (37)
4.2. Exploratory Analysis (44)
4.2.1 Regression (44)
4.2.2 Clustering (46)
4.3 Discussion of Results (48)
4.3.1 Objective Performance and Control System Implementation (48)
4.3.2 Self-Reported Experience and Psychological Aspects (49)
4.3.3 Personnel Characteristics, Performance and Other Insights (51)
4.3.4 Theoretical and Practical Implications (52)
4.3.5 Limitations (53)
5. Recommendations for Future Research & Managers (54)
5.1 Recommendations for Future Research (54)
5.2 Recommendations for Remote Managers (55)
6. Conclusion (56)
Reference List (58)
Student Responsibility Division (65)
List of Aides Used (65)
Table of Figures (66)
Table of Charts (66)
Appendix (66)
Post-Survey Responses by Treatment (66)
Qualtrics Code (67)
Experiment (71)
R-Script (89
Bridging the AI adoption gap with Microsoft copilot: A comparative experiment of ai-generated SEO text
No full textBRIDGING THE AI ADOPTION GAP WITH MICROSOFT COPILOT: A COMPARATIVE EXPERIMENT OF AI-GENERATED SEO TEXT
Bridging the AI adoption gap with Microsoft copilot: A comparative experiment of ai-generated SEO text (1
Machine learning in business studies
No full textMACHINE LEARNING IN BUSINESS STUDIES
Machine learning in business studies (1
Exploring overreliance on AI and its influence on subjective cognitive effort and self-efficacy in academic performance in university students
No full textEXPLORING OVERRELIANCE ON AI AND ITS INFLUENCE ON SUBJECTIVE COGNITIVE EFFORT AND SELF-EFFICACY IN ACADEMIC PERFORMANCE IN UNIVERSITY STUDENTS
Exploring overreliance on AI and its influence on subjective cognitive effort and self-efficacy in academic performance in university students (1
Global metal use
No full textGLOBAL METAL USE
Global metal use (1)
1. Introduction (5)
2. Theoretical and Policy Background (7)
2.1. Natural resource extraction, social metabolism and global metal use (7)
2.1.1. Material Dependence and Planetary Boundaries (7)
2.1.2. Societal Metabolism and Global Material Use (7)
2.1.3. Material flow analysis (8)
2.1.4. Possibility of Decoupling (8)
2.1.5. Global Metal Use (10)
2.2. Critical Minerals and the Energy Transition (11)
2.2.1. Rising Demand for Metals in the Energy Transition (11)
2.2.2. Environmental, Social and Governance Harms of Energy Transition Mining (12)
2.2.3. Geopolitical Dimensions and Strategic Dependencies (13)
2.2.4. Uncertainty in Future Technology and Energy Transition Mining (14)
2.3. Socioeconomic Dimensions, Governance Impacts and Inequality (15)
2.3.1. Economic Development and Extractive Dependence (15)
2.3.2. Human Development, Governance and ESG risks (16)
3. Methods & Data (19)
4. Results (22)
6.1. Global metal mining trends (1970 - 2022) (22)
6.1.1. Continental level analysis (22)
6.1.2. Country-level analysis (25)
6.1.3. Per Capita Perspectives on Extraction and Consumption (27)
6.1.4. Mining Trends of Energy Transition Metals (2000 –2022) (29)
6.2. Socioeconomic and governance dimensions (32)
6.2.1. Income groups (32)
6.2.2. Human Development Index (35)
6.2.3. Mining and Governance (40)
5. Discussion (44)
7.1. Global Trends, Spatial Shifts and Structural Drivers in Metal Use (44)
7.1.1. Global Growth Surge (44)
7.1.2. Shifting Extraction and Market Concentration (44)
7.1.3. Demand Trajectories and Possibilities of Decoupling (45)
7.2. Metal Use Patterns and Development Dynamics (46)
7.2.1. Per Capita Extraction and Consumption Trends (46)
7.2.2. Metal Mining and Development Gains (47)
7.2.3. Governance Trends and Resource Dependencies (47)
7.3. Towards Just, Ecological Futures (48)
7.4. Limitations and Future Research (51)
6. Conclusion (52)
7. Bibliography (53
Trust as a dynamic capability
No full textTRUST AS A DYNAMIC CAPABILITY
Trust as a dynamic capability (1)
1 Introduction (7)
1.1 Motivation (7)
1.2 What is recommerce? (8)
1.3 Recommerce and the trust-growth trade-off (9)
1.4 Research gap and contribution (10)
1.4.1 Academic contribution (11)
1.4.2 Practical contribution (11)
1.5 Research questions and thesis structure (12)
2 Literature review (12)
2.1 What are platforms? (12)
2.2 What is growth? (13)
2.3 Defining growth types: organic and acquisition-based growth (14)
2.4 Defining competitive actions in platform markets (14)
2.5 What is trust? (15)
2.6 The importance of trust in business (16)
2.7 Distrust (17)
2.8 Online trust (17)
2.9 Essential role of trust in e-commerce (18)
2.9.1 Antecedents of trust in e-commerce (18)
2.9.2 Effects and dynamics of trust in e-commerce (19)
2.10 Frameworks of trust in e-commerce (20)
2.11 Summary: trust in e-commerce (21)
2.12 Trust in recommerce platforms (22)
2.12.1 Defining recommerce and its risks (22)
2.12.2 User perspectives and trust mechanisms in recommerce (23)
2.12.2.1 Buyer vs seller trust (23)
2.12.2.2 Demographic differences (23)
2.12.2.3 Reputation systems and transparency (24)
2.12.3 Summary: trust in recommerce (24)
2.13 Trust-growth trade-off (25)
2.14 Research gap and contribution (26)
2.15 Analytical framework (27)
3 Methodology (30)
3.1 Research design (30)
3.2 Research setting and case selection (32)
3.3 Data collection (34)
3.3.1 Grey literature (34)
3.3.2 Public interviews (36)
3.3.3 Expert interviews (36)
3.4 Data analysis (37)
4 Analysis (38)
4.1 Benevolence (39)
4.1.1 User-centred branding (40)
4.1.2 Safeguarding the industry (40)
4.1.3 Sustainability purpose (41)
4.1.4 Care for users (43)
4.2 Competence (44)
4.2.1 Ensuring transaction safety and buyer protection (46)
4.2.2 Ensuring reliable and innovative payment options (47)
4.2.3 Demonstrating platform competence and scale (48)
4.2.4 Ensuring reliable delivery (49)
4.2.5 Providing verification, user reputation and monitoring mechanisms (50)
4.2.6 Providing product assurance and after-sales coverage (52)
4.2.7 Ensuring product authenticity and quality standards (53)
4.2.8 Demonstrating competence through attentive responsiveness (55)
4.2.9 Safeguarding the platform through compliance and data protection (56)
4.2.10 Facilitating user retention and ease of use (58)
4.2.11 Signalling competence through platform reliability (59)
4.3 Integrity (61)
4.3.1 Transparent and fair data handling (62)
4.3.2 Balancing personalisation with privacy safeguards (63)
4.3.3 Fairness and honesty in user relations (64)
4.3.4 Accountability and compliance (65)
4.4 Infrequent growth (67)
4.4.1 Expanding regional presence via internationalisation, acquisitions, and investment (68)
4.4.2 Expanding into new buyer segments through partnerships (68)
4.4.3 Rebranding to improve platform distinctiveness (69)
4.4.4 Divesting non-core assets to refocus the platform (70)
4.4.5 Partnering with scientific collaborators to launch sustainability tools (70)
4.5 User-centric competitive actions (71)
4.5.1 Aligning product and service portfolios with core user needs (72)
4.5.2 Ensuring standards and accountability (73)
4.5.3 Stimulating adoption through temporary acquisition campaigns (73)
4.5.4 Enhancing visibility and conversion through seller tools (73)
4.5.5 Personalising experiences through behavioural data (74)
4.5.6 Designing group-specific bundles and features (74)
4.5.7 Boosting transparency and conversion with trust markers (74)
4.5.8 Reinforcing legitimacy through multiple channels (75)
4.6 Platform-centric competitive actions (75)
4.6.1 Shifting platform architecture (77)
4.6.2 Improving feature delivery with automation and agile development (77)
4.6.3 Embedding trust through account-level safety features (77)
4.6.4 Applying AI to enhance personalisation and navigation (78)
4.6.5 Integrating support tools for professional sellers (78)
4.6.6 Expanding platform categories through vertical diversification (78)
4.6.7 Supporting direct purchases through embedded transaction tools (79)
4.6.8 Optimising campaigns through data modelling and analytics (79)
4.6.9 Digitising transaction processes to improve efficiency (79)
4.6.10 Launching trade-in and buy-back programmes to support circularity (79)
4.7 Pricing-related competitive actions (80)
4.7.1 Lowering prices to attract professional sellers (81)
4.7.2 Flexibilizing pricing across user groups (81)
4.7.3 Promotional pricing and discounts (82)
5 Discussion (82)
5.1 Revisiting the research focus (82)
5.2 Trust as a dynamic capability in recommerce (83)
5.2.1 Benevolence: caring for users and society (84)
5.2.2 Competence: demonstrating reliability and professionalism (84)
5.2.3 Integrity: acting fairly and transparently (85)
5.3 Balancing growth and trust (86)
5.3.1 User-centric competitive actions (87)
5.3.2 Platform-centric competitive actions (88)
5.3.3 Pricing-related competitive actions (89)
5.3.4 Infrequent growth: strategic expansion and rebranding (90)
5.4 Cross-case patterns: generalists, fashion, and refurbishment platforms (91)
5.5 Theoretical Implications (92)
5.6 Practical implications (97)
5.6.1 Implications for platform managers: designing trust-based growth (97)
5.6.2 Implications for policymakers and regulators: enabling safe and transparent recommerce (98)
5.6.3 Implications for sellers (99)
5.7 Limitations and directions for future research (99)
5.7.1 Limitations (99)
5.7.2 Directions for future research (101)
6 Conclusion (102)
6.1 Recommerce as a model for responsible platform growth (102)
6.2 Theoretical and conceptual insights (103)
6.3 A forward-looking perspective (103)
6.4 Closing reflection (104)
7 Bibliography (105)
8 Appendix (116)
8.1 Appendix A. Data overview per case (116)
8.2 Appendix B: Code matrix of trust- and growth-related actions across cases (117
Behavioral and acceptability effects of city tolls
No full textBEHAVIORAL AND ACCEPTABILITY EFFECTS OF CITY TOLLS
Behavioral and acceptability effects of city tolls (1)
Introduction (6)
Literature review (7)
Research design and data description (8)
Behavioral stated‐preference choice experiment (9)
Data description (10)
Methods (14)
Mixed Logit (14)
Logsum-based compensating variation (CV) (16)
Multivariate linear regression (16)
Results (17)
Mixed Logit (17)
Logsum-Based Compensating variation (CV) (18)
Multivariate linear regression (19)
Conclusion (22)
Appendices (28)
Tollzone (28)
Model with out imputing factor 5 (28)
Lasso (28)
Method (28)
Results (29
Austria’s net-zero energy pathway and electricity prices
No full textAUSTRIA’S NET-ZERO ENERGY PATHWAY AND ELECTRICITY PRICES
Austria’s net-zero energy pathway and electricity prices (1)
List of Figures (v)
List of Tables (vi)
List of Abbreviations and Nomenclature (vi)
Abstract (1)
1 Introduction (2)
2 Literature Research (5)
2.0.1 Method of Literature Review (5)
2.0.2 Context and motivation (5)
2.0.3 modelling approaches and tools (5)
2.0.4 Feasibility of fully renewable systems (5)
2.0.5 Storage adequacy and the curtailment–storage trade-off (6)
2.0.6 Quantitative storage needs at high RES shares (6)
2.0.7 Austria’s policy objectives and this research focus (6)
2.0.8 Demand-side management (DSM) (6)
2.0.9 Sector coupling with EVs and HPs (7)
2.0.10 Hydrogen and power-to-gas as long-term storage (7)
2.0.11 Climatic variability and geographical diversification (7)
2.0.12 Extreme “dark-doldrum” episodes and adequacy (7)
2.0.13 Synthesis and implications for this study (8)
2.0.14 Austria-specific decarbonisation pathways and electricity-price impacts (8)
3 Methods and Data (11)
3.1 Comparison of energy modeling frameworks (11)
3.2 Hydropower representation in PyPSA-Eur (focus on Austria) (11)
3.2.1 Types of hydropower technologies modelled (12)
3.2.1.1 Run-of-river (RoR) hydro (12)
3.2.1.2 Reservoir hydro (storage dams) (12)
3.2.1.3 Pumped-hydro storage (PHS) (13)
3.2.2 Cost and pricing mechanisms for hydro (14)
3.2.3 Austria-specific hydro-modeling parameters (15)
3.3 Modeling of Solar, Wind, Gas, and Hydrogen Technologies in PyPSA‑Eur (16)
3.3.1 Solar PV (16)
3.3.2 Wind Power (Onshore & Offshore) (17)
3.3.3 Gas-Fired Power (OCGT/CCGT) (19)
3.3.4 Hydrogen (21)
3.4 PyPSA-Eur Workflow and Key Components (24)
3.4.1 Snakemake Workflow Orchestration (24)
3.4.2 Network Topology (24)
3.4.3 Atlite (25)
3.4.4 PyPSA-Eur scenario (27)
3.4.5 Overall Workflow Process (27)
3.5 Input datasets (30)
3.6 Scenario generation pipeline (32)
3.7 Rationale for statistical methods used (35)
3.8 Two price definitions (35)
4 Results (37)
4.0.1 Generated scenarios. Scenario groupings by price bands and technology configurations (37)
4.1 Which configuration parameters move the average weighted price? (40)
4.2 Which configuration parameters move the average price? (42)
4.3 Which configuration parameters move the distance between average and average weighted prices? (44)
4.4 Which scenarios have prices lower than today’s wholesale price of electricity? (46)
4.4.1 Synthesis of findings across scenarios (47)
4.4.2 Interpreting price formation under net‑zero (47)
4.4.3 Positioning in the literature and methodological contribution (48)
4.4.4 Practical implications (48)
4.4.5 Limitations and threats to validity (48)
4.4.6 Future work (49)
5 Conclusions (53)
Appendix. Table 1: PyPSA-Eur Pipeline: Steps, Functions, Dependencies, and Data Flow (54)
Code availability (68)
References (68