A Big-Data Based Customer Relationship Management Model in Customer-to-Business E-Business

DOI

10.2991/snce-18.2018.42How to use a DOI?

Keywords

Customer-to-business; Customer relationship management; Big-data; Case based reasoning; Likelihood ratio

Abstract

Recent companies should pay significant attention to customer requirements so as to rapidly respond to market needs and changes. C2B is the reverse model of the traditional Business-to-Customer e-commerce strategy which enables consumers to name products or services such that the organization can generate the demand collection for a specific good or service. Customer relationship management (CRM) combines people, processes and technology to understand customer requirements. This project proposes a big-data based customer relationship management (CRM) model in customer-to-business (C2B) e-commerce. This conceptual big-data based CRM model types the big-data based information technology strategy perspectives to the CRM perspectives in C2B e-commerce for scale, scope, speed and agile e-business. Additionally, case based reasoning (CBR) is introduced in this model for logic predicate and propositional logic, which contributes to the likelihood and preferences calculation of new proposed products or services. Percentage calculation, Chi-square testing and correlation calculation algorithms are introduced for performance evaluation of this model.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tingbin Chen
AU  - Jiacong Zhao
PY  - 2018/05
DA  - 2018/05
TI  - A Big-Data Based Customer Relationship Management Model in Customer-to-Business E-Business
BT  - Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)
PB  - Atlantis Press
SP  - 202
EP  - 207
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-18.2018.42
DO  - 10.2991/snce-18.2018.42
ID  - Chen2018/05
ER  -