Work

A systematic framework of predicting customer revisit with in-store sensors

Year: 2019

Type: article

Source: Knowledge and Information Systems

DOI: 10.1007/s10115-019-01373-y

Authors: Sundong Kim, Jae-Gil Lee

Institution: Korea Advanced Institute of Science and Technology

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

Funders: National Research Foundation of Korea, Ministry of Science and ICT, South Korea

Award: G8679042287

OpenAlex ID: W2954480898

FWCI: 1.641

Cites: 45

Cited by: 11

Related to: 10