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Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management
Institution:1. Faculty of Informatics and Communication; Department of Machine Learning, University of Economics, 1 Maja, 40-287 Katowice, Poland;2. Faculty of Informatics and Communication; Department of Knowledge Engineering, University of Economics, 1 Maja, 40-287 Katowice, Poland;3. Faculty of Economics; Department of Marketing and Business, VSB – Technical University of Ostrava, Sokolská t?ída 2416/33, 702 00 Ostrava-Moravská Ostrava, Czech Republic;1. College of Computing and Information Technology, University of Bisha, Bisha 67714, Saudi Arabia;2. Department of Computer Science, Najran University, Najran 61441, Saudi Arabia;3. Department of Information Systems, Najran University, Najran 61441, Saudi Arabia;4. College of Applied Computer Sciences King Saud University Al-Muzahmiyah Branch, Saudi Arabia;1. Graduate School of International Studies, Yonsei University, Republic of Korea;2. Adam Smith Business School, University of Glasgow, Glasgow, Scotland, United Kingdom;1. Dipartimento di Management – University of Torino, Corso Unione Sovietica, 218 bis, 10134 Torino, Italy;2. Department of Economics and Management, University of Florence, Via delle Pandette 9 - Block D6, 3rd Floor, 50127, Firenze, Italy;3. Graduate School of Economics and Management, Ural Federal University, Russia;1. Center for Excellence in Information Technology, Institute of Management Sciences, Peshawar 25000, Pakistan;2. College of Technological Innovation, Zayed University, United Arab Emirates;3. REMIT, IJP, University of Portucalense & IEETA, University of Aveiro, Portugal;4. College of Information System, Sur University, Oman;5. Department of Informatics Engineering, University of Coimbra, Portugal
Abstract:
Keywords:Churn management  Data-driven innovation  Machine learning  Decision trees  Classification  Dynamic capabilities
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