Communications of the ACM
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Knowledge management and data mining for marketing
Decision Support Systems - Knowledge management support of decision making
What's in an Electronic Business Model?
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Data Mining: Opportunities and Challenges
Data Mining: Opportunities and Challenges
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Lessons and Challenges from Mining Retail E-Commerce Data
Machine Learning
A Disruption Analysis in the Mobile Payment Market
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 3 - Volume 03
Evaluating Wireless Technologies in Mobile Payments " A Customer Centric Approach
ICMB '05 Proceedings of the International Conference on Mobile Business
Credit scoring with a data mining approach based on support vector machines
Expert Systems with Applications: An International Journal
Communications of the ACM - Urban sensing: out of the woods
A modeling approach and reference models for the analysis of mobile payment use cases
Electronic Commerce Research and Applications
Electronic Commerce Research and Applications
Past, present and future of mobile payments research: A literature review
Electronic Commerce Research and Applications
The impact of use context on mobile services acceptance: The case of mobile ticketing
Information and Management
Social mobile Augmented Reality for retail
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Telematics and Informatics
Mining changes in customer behavior in retail marketing
Expert Systems with Applications: An International Journal
Handbook of Research on Mobile Marketing Management
Handbook of Research on Mobile Marketing Management
Data Mining Techniques in CRM: Inside Customer Segmentation
Data Mining Techniques in CRM: Inside Customer Segmentation
Challenges and business models for mobile location-based services and advertising
Communications of the ACM
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
Discovering golden nuggets: data mining in financial application
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Requirements for Personalized m-Commerce: What Drives Consumers' Use of Social Networks?
Journal of Electronic Commerce in Organizations
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Although the extent of e-commerce and m-commerce is continually increasing, the vast majority of the payment transaction potential remains in real-world scenarios such as customary retail POS. However, without adding substantial value, current business models rely on simple transaction-based revenues. The aim of this paper is to evaluate and exploit the freedom degrees of the m-payment business model framework, with special regard to new developments connected to the smartphone economy age. Therefore, we examine methods of data collection and usage to analyse customer preferences and enable evidence-based marketing both theoretically and by case study research. To generate new revenues from third parties, we extend the mobile payment reference model MPRM with new business model elements and roles. For the shift from existing simple transaction-based systems to upcoming modern m-payment procedures built around the central value of customer data, the MPRM 2.0 provides a theoretical background and according reference value architecture as well as an analysis tool to be used in research and practice.