Using Behavioral Analytics to Predict Customer Invoice Payment-Reference-Cited by-同舟云学术

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Using Behavioral Analytics to Predict Customer Invoice Payment

Published:2020-02-01 Issue:1 Volume:8 Page:25-37
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Bahrami Mohsen¹²,Bozkaya Burcin²³,Balcisoy Selim⁴

Affiliation:

1. MIT Media Laboratory, Human Dynamics Group, Massachusetts Institute of Technology, Cambridge, Massachusetts.

2. School of Management, Sabanci University, Istanbul, Turkey.

3. Graduate Program in Data Science, New College of Florida, Sarasota, Florida.

4. Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

https://www.liebertpub.com/doi/pdf/10.1089/big.2018.0116

Reference24 articles.

1. Late payment and the small firm: an examination of case studies

2. Impact of late payment on Firms' profitability: Empirical evidence from Malaysia

3. A combined mining-based framework for predicting telecommunications customer payment behaviors

4. Predicting repayment of the credit card debt

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