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International Conference on Intelligent Networking and Collaborative Systems

INCoS 2019: Advances in Intelligent Networking and Collaborative Systems pp 405–414Cite as

Cloud CRM System for Mobile Virtual Network Operators

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1035))

Abstract

This work concerns of some aspects of the customer relationship management system for mobile virtual network operators. The aim of this work is to present a model of a cloud based customer relationship management system dedicated to mobile virtual network operators that will be integrating and using customer information obtained from mobile network operators. The system is developed into cloud environment, which allows for easy flow of data between mobile virtual network operators and a mobile network operators.

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Author information

Authors and Affiliations

  1. Lodz University of Technology, Lodz, Poland

    Maria Jedrzejewska & Adrian Zjawiński

  2. Faculty of Management, Comenius University, Bratislava, Slovakia

    Vincent Karovič

  3. School of Business, Economics and Statistics, University of Vienna, Vienna, Austria

    Iryna Ivanochko

Authors
  1. Maria Jedrzejewska
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  2. Adrian Zjawiński
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  3. Vincent Karovič
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  4. Iryna Ivanochko
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Corresponding author

Correspondence to Vincent Karovič .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Division of Computer Science and Intelligent Systems, Faculty of Science and Technology, Oita University, Oita, Japan

    Hiroaki Nishino

  3. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyoshi Miwa

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Jedrzejewska, M., Zjawiński, A., Karovič, V., Ivanochko, I. (2020). Cloud CRM System for Mobile Virtual Network Operators. In: Barolli, L., Nishino, H., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2019. Advances in Intelligent Systems and Computing, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-030-29035-1_39

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