Business Models Powered by Machine Learning: Exploring How Machine Learning Changes the Ways Organizations Create, Deliver, and Capture Value
- Alternative title
-
Geschäftsmodelle getrieben durch maschinelles Lernen: Wie maschinelles Lernen die Arten und Weisen verändert, wie Organisationen Wert schöpfen, liefern und erfassen
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Darmstadt, Technische Universität Darmstadt, Dissertation, 2024
- Keyword
-
Geschäftsmodell
Maschinelles Lernen
Organisatorisches Lernen
Strategisches Management
- Event
-
Veröffentlichung
- (where)
-
Darmstadt
- (who)
-
Universitäts- und Landesbibliothek
- (when)
-
2024
- Creator
- Contributor
- DOI
-
10.26083/tuprints-00028726
- URN
-
urn:nbn:de:tuda-tuprints-287260
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:38 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Vetter, Oliver Andreas
- Buxmann, Peter
- Benlian, Alexander
- Universitäts- und Landesbibliothek
Time of origin
- 2024
Other Objects (12)
Applications of Machine Learning in Mental Healthcare
Developing a Pathway for the Adoption of Machine Learning Systems in Organizations: An Analysis of Drivers, Barriers, and Impacts with a Focus on the Healthcare Sector
Crowdfunding: Platform Dynamics under Asymmetric Information
Beyond the Privacy Calculus: Dynamics Behind Online Self-Disclosure
Eine ökonomische Analyse des Wertes von Privatsphäre und personenbezogener Daten aus Unternehmens- und Nutzerperspektive
A Behavioral Economics Perspective on the Formation and Effects of Privacy Risk Perceptions in the Context of Privacy-Invasive Information Systems
Exploring Human and Artificial Intelligence Collaboration and Its Impact on Organizational Performance: A Multi-Level Analysis
Adoption of AI-based Information Systems from an Organizational and User Perspective
The Role of Digital Technologies in Enabling Digital Transformation to Address Societal and Business Challenges - A Sociotechnical Perspective
Empowering Information Systems Users: The Role of Timely and Customizable Information for User Engagement and Selection Behavior
Users’ Loyalty to Agile Information Systems
Mobility in the Advent of Autonomous Driving – Toward an Understanding of User Acceptance and Quality Perception Factors
Applications of Machine Learning in Mental Healthcare
Developing a Pathway for the Adoption of Machine Learning Systems in Organizations: An Analysis of Drivers, Barriers, and Impacts with a Focus on the Healthcare Sector
Crowdfunding: Platform Dynamics under Asymmetric Information
Beyond the Privacy Calculus: Dynamics Behind Online Self-Disclosure
Eine ökonomische Analyse des Wertes von Privatsphäre und personenbezogener Daten aus Unternehmens- und Nutzerperspektive
A Behavioral Economics Perspective on the Formation and Effects of Privacy Risk Perceptions in the Context of Privacy-Invasive Information Systems
Exploring Human and Artificial Intelligence Collaboration and Its Impact on Organizational Performance: A Multi-Level Analysis
Adoption of AI-based Information Systems from an Organizational and User Perspective
The Role of Digital Technologies in Enabling Digital Transformation to Address Societal and Business Challenges - A Sociotechnical Perspective
Empowering Information Systems Users: The Role of Timely and Customizable Information for User Engagement and Selection Behavior
Users’ Loyalty to Agile Information Systems
Mobility in the Advent of Autonomous Driving – Toward an Understanding of User Acceptance and Quality Perception Factors
Applications of Machine Learning in Mental Healthcare
Developing a Pathway for the Adoption of Machine Learning Systems in Organizations: An Analysis of Drivers, Barriers, and Impacts with a Focus on the Healthcare Sector
Crowdfunding: Platform Dynamics under Asymmetric Information
Beyond the Privacy Calculus: Dynamics Behind Online Self-Disclosure
Eine ökonomische Analyse des Wertes von Privatsphäre und personenbezogener Daten aus Unternehmens- und Nutzerperspektive
A Behavioral Economics Perspective on the Formation and Effects of Privacy Risk Perceptions in the Context of Privacy-Invasive Information Systems
Exploring Human and Artificial Intelligence Collaboration and Its Impact on Organizational Performance: A Multi-Level Analysis
Adoption of AI-based Information Systems from an Organizational and User Perspective
The Role of Digital Technologies in Enabling Digital Transformation to Address Societal and Business Challenges - A Sociotechnical Perspective
Empowering Information Systems Users: The Role of Timely and Customizable Information for User Engagement and Selection Behavior
Users’ Loyalty to Agile Information Systems