论文信息 - Data-Mining Tools for Business Model Design: The Impact of Organizational Heterogeneity

Data-Mining Tools for Business Model Design: The Impact of Organizational Heterogeneity

Business models may be considered as “cognitive” devices since a deep level of knowledge about customers, suppliers, and competitors is needed for their development. Recent studies show that data-mining tools produce a positive interaction with business models, empowering the strategic performance capabilities that drive the achievement of competitive advantage.

Roberto Del Gobbo | Nicola Giuseppe Castellano | N. Castellano | R. D. Gobbo

[1] Michael J. A. Berry,et al. Data mining techniques - for marketing, sales, and customer support , 1997, Wiley computer publishing.

[2] Rita Gunther McGrath. Business Models: A Discovery Driven Approach , 2010 .

[3] Per Runeson,et al. Guidelines for conducting and reporting case study research in software engineering , 2009, Empirical Software Engineering.

[4] D. Teece. Business Models, Business Strategy and Innovation , 2010 .

[5] Heidi M. J. Bertels,et al. Business Models Outside the Core: Lessons Learned from Success and Failure , 2015 .

[6] C. Baden‐Fuller,et al. Business Models and Technological Innovation , 2013 .

[7] John H. Heinrichs,et al. Integrating web-based data mining tools with business models for knowledge management , 2003, Decis. Support Syst..

[8] C. Fornell. A National Customer Satisfaction Barometer: The Swedish Experience: , 1992 .

[9] Carol E. Brown,et al. Artificial neural networks in accounting and finance: modeling issues , 2000 .

[10] Rebecca Liu. Management learning in business networks: The process and the effects , 2015 .

[11] Jukka Heikkilä,et al. Conscription of Network Business Models , 2010 .

[12] K. Langfield-Smith. EXPLORING THE NEED FOR A SHARED COGNITIVE MAP , 1992 .