26617 research outputs found
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The influence of AI attribution on music playlist evaluation in streaming platforms
No full textTHE INFLUENCE OF AI ATTRIBUTION ON MUSIC PLAYLIST EVALUATION IN STREAMING PLATFORMS
The influence of AI attribution on music playlist evaluation in streaming platforms (1
Frühfluktuation in Unternehmen
No full textFRÜHFLUKTUATION IN UNTERNEHMEN
Frühfluktuation in Unternehmen (1
Analyzing sexual harassment causes, policies, and prevention strategies at Austrian universities
No full textANALYZING SEXUAL HARASSMENT CAUSES, POLICIES, AND PREVENTION STRATEGIES AT AUSTRIAN UNIVERSITIES
Analyzing sexual harassment causes, policies, and prevention strategies at Austrian universities (1
Artificial intelligence in airline operations
No full textARTIFICIAL INTELLIGENCE IN AIRLINE OPERATIONS
Artificial intelligence in airline operations (1)
4- Operation Management.pdf (1)
Using sustainable technology to drive efficiency: Artificial intelligence as an information broker for advancing airline op ... (40)
Introduction (40)
Information sharing and brokerage in the airline industry (41)
Methodology (42)
Research approach (42)
Selection of context and sample (42)
Data collection (42)
Data analysis (43)
Findings (43)
Information sharing and transparency (43)
Progress towards digital information flows (43)
Reliance on manual data input and lack of real-time data updates (43)
Necessity for transparent tools for tailored output of relevant information (43)
Collaborative decision-making (44)
Centralized decision-making and operational delays (44)
Challenges in accessing real-time data for timely decisions and integration of ground handling (44)
Importance of cross-departmental coordination (44)
Artificial intelligence as information broker and decision-maker (45)
AI as a tool to bridge information gaps and increase understanding of cause-effect relationships as well as correlations (45)
AI’s role in real-time operational adjustments and in predictability of decision consequences (45)
AI as a support tool rather than sole decision-maker (45)
Discussion and implications (45)
The role of AI as information broker in the airline industry (46)
Theoretical implications (46)
AI as information broker for operational efficiency (46)
AI as information broker for data management and decision support (46)
AI as information broker for scalability (46)
Managerial implications (47)
Conclusion (47)
CRediT authorship contribution statement (48)
Declaration of competing interest (48)
References (48)
List of Tables (3)
List of Abbreviations (4)
Abstract (5)
1. Introduction (7)
1.1 Problem Statement (7)
1.2 Research Objective and Research Questions (10)
2. Thesis Outline (13)
3. Dissemination of Research Papers (15)
3.1 Paper A: Artificial intelligence as a driver of efficiency in air passenger transport: A systematic literature review and future research avenues (15)
3.2 Paper B: Integrating AI support into a framework for collaborative decision-making (CDM) for airline disruption management (29)
3.3 Paper C: Artificial intelligence as an information broker for advancing airline operations management (39)
2- Future Research.pdf (16)
Artificial intelligence as a driver of efficiency in air passenger transport: A systematic literature review and future research avenues (16)
1 Introduction (16)
2 AI in and for airline efficiency: a model (17)
2.1 Efficiency in airline business functions (17)
2.2 Artificial intelligence for efficiency (17)
3 Methodology (18)
3.1 Step 1: define research aim (19)
3.2 Craft inclusion and/or exclusion criteria (19)
3.3 Retrieve ’baseline sample’ (19)
3.4 Select pertinent literature (19)
3.5 Synthesize literature (20)
3.6 Report the results (20)
4 Results (20)
4.1 Machine learning (21)
4.2 Deep Learning (22)
4.3 Reinforcement learning (22)
4.4 Natural language processing (22)
5 Theoretical and managerial implications (23)
6 Future research avenues (24)
6.1 Little attention has been given to comprehensive AI-driven decision-making tools for airline efficiency (24)
6.2 In academic literature, the understanding of AI processes in airline operations is often purely theoretical and lacks practical application (24)
6.3 Reinforcement learning have only partially explored and applied in and for airline efficiency (24)
6.4 Airline processes are an ideal case for further development of AI models and applications (24)
6.5 Large Language Models (LLMs) hold substantial promise (24)
7 Conclusion (25)
Declaration of competing interest (25)
CRediT authorship contribution statement (25)
References (25)
3- Disruption Management(23).pdf (16)
Integrating AI support into a framework for collaborative decision-making (CDM) for airline disruption management (16)
1 Introduction (16)
2 The role of CDM for disruption management in and for airlines (17)
3 The AI-CDM Framework (18)
3.1 System (19)
3.1.1 Organizational structure and culture (32)
3.1.2 Organizational goals (32)
3.2 Stakeholders (19)
3.2.1 Number of parties (33)
3.2.2 Level of trust (33)
3.2.3 Level of salience (33)
3.3 External influences (19)
3.3.1 Dynamism (33)
3.3.2 Situational stress and time pressure (33)
3.3.3 Information load (34)
3.3.4 Mode of negotiation (34)
3.4 Resources (19)
3.4.1 Hardware and software (34)
3.4.2 Previous collaborative experience (34)
4 Implications for AI-CDM (20)
4.1 Introducing data-driven CDM (21)
4.2 Towards AI management of complex systems (22)
4.3 Transforming disruption management into AI supported performance management (22)
5 Conclusion (23)
Declaration of competing interest (24)
CRediT authorship contribution statement (25)
References (25)
References (53
Honorar- vs. Provisionsberatung
No full textHONORAR- VS. PROVISIONSBERATUNG
Honorar- vs. Provisionsberatung (1)
1 Einleitung (3)
2 Beschreibung der wissenschaftlichen Methodik (5)
3 Positive und negative Aspekte eines Provisionsverbots (6)
3.1 Positive Aspekte (6)
3.2 Negative Aspekte (9)
4 Analyse des deutschen Finanzmarkts (13)
4.1 Marktstruktur und Verbreitung von Beratungsmodellen (13)
4.2 Beschwerdestatistiken in der deutschen Finanzberatung (13)
4.3 Kostenstruktur von Finanz- und Versicherungsprodukten (15)
4.4 Vergütungsmodelle der Honorarberatung (16)
4.5 Regulatorische Rahmenbedingungen in Deutschland (17)
4.6 Zusammenspiel von Finanzberatung, Bildung und Anlageverhalten (18)
5 Beantwortung der Forschungsfrage und Schlussfolgerungen (22)
6 Handlungsempfehlungen und Implikationen (23)
6.1 Förderung finanzieller Bildung (23)
6.2 Verbesserung der Transparenz in der Beratung (26)
6.3 Stärkung der Beratungsqualität (27)
6.4 Koexistenz von Vergütungsmodellen & Förderung von Honorarberatung (28)
6.5 Abbau regulatorischer Hürden (30)
6.6 Digitalisierung & neue Beratungsmodelle (31)
7 Fazit (33)
Literaturverzeichnis (35
Market entry strategies of transaction platforms for consulting or business services in Germany
No full textMARKET ENTRY STRATEGIES OF TRANSACTION PLATFORMS FOR CONSULTING OR BUSINESS SERVICES IN GERMANY
Market entry strategies of transaction platforms for consulting or business services in Germany (1)
I Abstract (2)
II List of figures and tables (5)
III List of abbreviations (5)
1 Introduction (6)
1.1 Problem definition (6)
1.2 Research objective (10)
1.3 Relevance for theory and practice (10)
1.4 Course of investigation (11)
2 Conceptual background (13)
2.1 Systematic literature review (13)
2.1.1 Approach (13)
2.1.2 Documentation of search strategy (14)
2.2 Transaction platforms (18)
2.2.1 General characteristics (18)
2.2.2 Platform idiosyncrasies (21)
2.3 Market entry strategies of transaction platforms (24)
2.3.1 Platform launch dynamics (24)
2.3.2 Comparative dimensions (27)
2.3.2.1 Summary table (27)
2.3.2.2 Input (29)
2.3.2.3 Throughput (32)
2.3.2.4 Output (34)
2.3.3 Preliminary entry strategy framework (37)
2.3.3.1 De novo (39)
2.3.3.2 Exploitation (42)
2.3.3.3 Acquisition (45)
2.3.3.4 Cooperation (48)
3 Methodology (52)
3.1 Comparative case study research design (52)
3.2 Data collection methods and data sources (55)
3.2.1 Grey literature (55)
3.2.1.1 Approach (55)
3.2.1.2 Documentation of search strategy (56)
3.2.2 Empirical setting and case studies (58)
3.2.2.1 Approach (58)
3.2.2.2 Identification of relevant cases (60)
3.3 Data analysis (64)
4 Findings (67)
4.1 Final entry strategy framework (67)
4.2 Revisions to the entry strategy framework (69)
4.2.1 Input (69)
4.2.2 Throughput (70)
4.2.3 Output (73)
4.3 Case studies (74)
4.3.1 Fiverr International (74)
4.3.1.1 Platform description (74)
4.3.1.2 Fiverr’s German market entry (75)
4.3.1.3 Fiverr framework contextualization (76)
4.3.2 Pleo Technologies (79)
4.3.2.1 Platform description (79)
4.3.2.2 Pleo’s German market entry (80)
4.3.2.3 Pleo framework contextualization (82)
4.3.3 Boundary conditions (84)
5 Discussion (87)
5.1 Implications for research (87)
5.2 Implications for practice (88)
5.3 Limitations (90)
6 Conclusion (91)
IV List of references (97
"Schluss mit den braven Tanten"
No full text"SCHLUSS MIT DEN BRAVEN TANTEN"
"Schluss mit den braven Tanten" (1
Berichtspflichten zu immateriellen Ressourcen nach Artikel 19 Absatz 1 der durch die CSRD geänderten Fassung der Bilanzrichtlinie
No full textBERICHTSPFLICHTEN ZU IMMATERIELLEN RESSOURCEN NACH ARTIKEL 19 ABSATZ 1 DER DURCH DIE CSRD GEÄNDERTEN FASSUNG DER BILANZRICHTLINIE
Berichtspflichten zu immateriellen Ressourcen nach Artikel 19 Absatz 1 der durch die CSRD geänderten Fassung der Bilanzrichtlinie (1
Adjusting Gaussian Volterra processes for energy markets
No full textADJUSTING GAUSSIAN VOLTERRA PROCESSES FOR ENERGY MARKETS
Adjusting Gaussian Volterra processes for energy markets (1)
Abstract (1)
Introduction (2)
Literature Review (6)
The model (10)
Absence of Arbitrage (11)
Gaussian Volterra Processes to model energy spot prices (12)
Data and Methodology (14)
Data (14)
Methodology (15)
Simulation Study (19)
Implementation (19)
Simulation Results (24)
Discussion and Concluding Remarks (25)
Bibliography (27)
List of Figures (27)
List of Tables (27)
Appendix (31)
OU (31)
FC (36)
OU-FC (41)
OU-OU (45)
FC-FC (49
The human factor in AI adoption
No full textTHE HUMAN FACTOR IN AI ADOPTION
The human factor in AI adoption (1