26617 research outputs found
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Enhancing user experience through AI features in video games
ENHANCING USER EXPERIENCE THROUGH AI FEATURES IN VIDEO GAMES
Enhancing user experience through AI features in video games (1)
Chapter (1)
MASTERARBEIT / MASTER’S THESIS (1)
Master Thesis – Quantitative Research:"Enhancing user experience through AI features in video games: An analysis across adoption categories" (1)
submitted by (1)
Machalík Štefan (1)
at WU University of Business and Economics Vienna (1)
Strategy, Innovation and Management Control Programme (1)
M.Sc. Thesis (1)
Master in Science in Strategy, Innovation and Management Control (1)
Chapter (1)
Matrikelnummer / student ID number: (1)
Studium / degree programme: (1)
Strategy, Innovation and Management Control (1)
Betreut von / Supervisor: (1)
Chapter (1)
Chapter (1)
Table 2: AI Familiarity Scale (OpenAI, 2025) (30)
8.2.4. Survey Conclusion (31
Customer price sensitivity and willingness to pay for new technologies in the computer industry
CUSTOMER PRICE SENSITIVITY AND WILLINGNESS TO PAY FOR NEW TECHNOLOGIES IN THE COMPUTER INDUSTRY
Customer price sensitivity and willingness to pay for new technologies in the computer industry (1
How do social business incubators facilitate entrepreneurial social capital exchange and influence organizational development?
HOW DO SOCIAL BUSINESS INCUBATORS FACILITATE ENTREPRENEURIAL SOCIAL CAPITAL EXCHANGE AND INFLUENCE ORGANIZATIONAL DEVELOPMENT?
How do social business incubators facilitate entrepreneurial social capital exchange and influence organizational development? (1)
1. Introduction (6)
2. Literature review (10)
2.1. Social entrepreneurship, social entrepreneurs and social innovation (10)
2.1.2. Social entrepreneurship (10)
2.1.2. Social entrepreneurs (11)
2.1.3. Social innovation (15)
2.2. The role of social capital for social entrepreneurship (16)
2.2.1. Social capital theory (16)
2.2.2. The importance of social capital for social startups (18)
2.3. Business incubators, social business incubators and the role of social capital at incubation phase (20)
2.3.1. Business incubators (20)
2.3.2. Social business incubators (22)
2.3.3. Cohort composition in business incubators (24)
2.3.4. The role of social capital in the incubation phase (26)
2.4. Social capital exchange and organizational development (29)
2.4.1. Organizational development in social entrepreneurship (29)
2.4.2. Imprinting in entrepreneurship (30)
2.4.3. Peer effects in social business incubators (31)
2.5. Summary and divergence (32)
3. Method (34)
3.1. Social Impact Award (34)
3.2. Sampling (36)
3.3. Method (36)
4. Results (39)
4.1. Model description (39)
4.2. Formation of the social environment within a social business incubator (40)
4.3. Effects of social capital gain on incubatees (49)
5. Discussion (55)
5.1. Practical implications (60)
5.2. Practical implications for the Social Impact Award (61)
5.3. Theoretical contributions (62)
5.4. Limitations (63)
5.5. Future research suggestions (64)
6. Conclusion (66)
Acknowledgements (67)
Appendix (68)
Interview coding scheme (68)
References (73
An exploration of Austrian university students’ use of GenAI in academia
AN EXPLORATION OF AUSTRIAN UNIVERSITY STUDENTS’ USE OF GENAI IN ACADEMIA
An exploration of Austrian university students’ use of GenAI in academia (1)
Abstract (5)
Keywords (5)
1 Introduction (6)
2 Theoretical Background (8)
2.1 Generative AI in Higher Education (8)
2.2 Theory of Planned Behavior (TPB) (10)
2.3 Frameworks for Evaluating Ethical Behavior (12)
2.3.1 Deontological Ethics (12)
2.3.2 Virtue Ethics (13)
2.3.3 Utilitarian Ethics (13)
2.3.4 Pragmatic Ethics (13)
2.4 Literature Review (13)
3 Methodology (22)
3.1 Sampling and Recruiting (22)
3.2 Research Questions and Hypotheses Development (23)
3.3 Data Collection and Analysis (24)
3.3.1 Qualitative Phase – Focus Group Interviews (24)
3.3.2 Quantitative Phase – Survey (25)
4 Results (26)
4.1 Qualitative Results (26)
4.1.1 Linking Findings to Hypotheses (28)
4.2 Quantitative Results (30)
4.2.1 General Analysis (32)
4.2.2 RQ 1: Ethical Boundaries (36)
4.2.3 RQ2: Values and Norms (38)
4.2.4 Decision Making (43)
4.2.5 Common Method Variance (46)
4.2.6 Extended TPB Model (46)
5 Discussion (48)
5.1.1 Overview of Key Findings (48)
5.1.2 Extended Theory of Planned Behavior (48)
5.1.3 Contributions to Literature (49)
5.1.4 Ethics vs Practicality (50)
5.2 Implication (50)
5.3 Limitations (51)
6 References (53)
7 Appendix (59)
7.1 Focus Group Interview Questions: (59)
7.2 Focus Group Interview Transcripts (60)
7.2.1 Transcript 1 (60)
7.2.2 Transcript 2 (64)
7.2.3 Transcript 3 (71)
7.2.4 Transcript 4 (77)
7.2.5 Transcript 5 (83
Zwischen Vorfreude und Zukunftssorgen
ZWISCHEN VORFREUDE UND ZUKUNFTSSORGEN
Zwischen Vorfreude und Zukunftssorgen (2
Die steuerliche Behandlung von Teilwertabschreibungen auf Beteiligungen
DIE STEUERLICHE BEHANDLUNG VON TEILWERTABSCHREIBUNGEN AUF BETEILIGUNGEN
Die steuerliche Behandlung von Teilwertabschreibungen auf Beteiligungen (1
Exploring the potential of artificial intelligence for automating knowledge synthesis in systematic literature reviews
EXPLORING THE POTENTIAL OF ARTIFICIAL INTELLIGENCE FOR AUTOMATING KNOWLEDGE SYNTHESIS IN SYSTEMATIC LITERATURE REVIEWS
Exploring the potential of artificial intelligence for automating knowledge synthesis in systematic literature reviews (1)
Introduction (8)
Research Motivation and Questions (9)
Research Questions (9)
Thesis Structure (10)
Literature Background (10)
Defining Systematic Literature Reviews (11)
The Methodological Process (12)
Foundational Concepts of Synthesis (16)
Synthesis Logic (16)
Aligning Synthesis with Research Objectives (17)
Challenges of traditional SLRs (18)
Core Automation Techniques and the Rise of Large Language Models (20)
Foundational Techniques for Screening and Selection (20)
The Transformative Shift (22)
LLM Capabilities in Data Extraction and Synthesis (23)
Current Case Studies on LLM Automation in Synthesis (23)
Limitations to Automation (25)
Methodology (27)
Identification of Synthesis Methodologies (27)
Selection and Analysis of SLR Tools (28)
Comparative Analysis of Synthesis Methodology Adherence (32)
Procedure and Methodological Design (33)
Analysis and Assessment Criteria (34)
Methodological Limitations (36)
Synthesis Methodologies (37)
Descriptive & Aggregative Methods (37)
Extending and Configurative Methods (40)
Comparing Approaches of Qualitative Data Synthesis (41)
Elicit vs. Perplexity: Comparative Analysis of Synthesis Capability (43)
Procedural Transparency (44)
Demonstration of Coding and Data Organization (50)
Abstraction & Interpretation (51)
Summary of Comparative Performance (52)
Discussion (54)
The Procedural Transparency Trade-Off (54)
The Coding and Synthesis Gap: Aggregative vs. Configurative (55)
Why Healthcare Tools Often Fail in IS Contexts (56)
Conclusion (57)
Implications (57)
Limitations and Future Research Directions (58)
Appendix: Qualitative Methodologies - Steps in detail (60)
Narrative Synthesis (60)
Qualitative Meta-Summary (60)
Framework synthesis (61)
Thematic Synthesis (62)
Grounded Theory (62)
Meta-ethnography (63)
Elicit Report (64)
Perplexity Analysis (79)
Perplexity Prompt (79)
Perplexity Report (80
Combining quadratic voting and blockchain-based electronic voting for a boardroom voting system
COMBINING QUADRATIC VOTING AND BLOCKCHAIN-BASED ELECTRONIC VOTING FOR A BOARDROOM VOTING SYSTEM
Combining quadratic voting and blockchain-based electronic voting for a boardroom voting system (1
Uncovering the hidden risks of artificial intelligence
UNCOVERING THE HIDDEN RISKS OF ARTIFICIAL INTELLIGENCE
Uncovering the hidden risks of artificial intelligence (1