A5031071174- Optimal Experimental Design Methods
- Economic and Environmental Valuation
- Supply Chain and Inventory Management
- Technology Adoption and User Behaviour
- Customer churn and segmentation
- Blockchain Technology Applications and Security
- Advanced Multi-Objective Optimization Algorithms
- Consumer Market Behavior and Pricing
- Consumer Retail Behavior Studies
- Sensory Analysis and Statistical Methods
- Digital Marketing and Social Media
- Digital Platforms and Economics
- Financial Reporting and Valuation Research
- Simulation Techniques and Applications
- Customer Service Quality and Loyalty
- Control Systems and Identification
- Ethics and Social Impacts of AI
- Innovation Diffusion and Forecasting
- Service and Product Innovation
- Quality and Supply Management
- Big Data and Business Intelligence
- Digital Transformation in Industry
University of Twente
2020
Georgia State University
2015-2017
Universidad Carlos III de Madrid
2012-2014
Service firms develop win-back strategies to rectify issues that cause customer churn and rebuild relationships with lost customers. To better support retention, it is important understand how the revived relationship evolves possibly ends again. examine customers' repeat behavior, we a “mixture cure-competing risks” model, jointly estimating duration of second lifetimes, multiple reasons for churn, heterogeneity customers in exhibiting related reason. The proposed model tested using data...