Results 61 to 70 of about 856,045 (240)
Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives
Business Strategy and the Environment, EarlyView.ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh +3 more
wiley +1 more source
, 2015 Churn prediction, or the task of identifying customers who are likely to discontinue use of a service, is an important and lucrative concern of firms in many different industries.
Blumenstock, Joshua +3 more
core +1 more source
Customer Churn Prediction in the Banking Sector Using Machine Learning-Based Classification Models
Interdisciplinary Journal of Information, Knowledge, and Management, 2023 Aim/Purpose: Previous research has generally concentrated on identifying the variables that most significantly influence customer churn or has used customer segmentation to identify a subset of potential consumers, excluding its effects on forecast ...
Hoang Dang Tran, N. Le, Van-Ho Nguyen
semanticscholar +1 more source
Optimizing Monetization Strategies for Generative AI Firms: Implications for Search Engagement
Psychology &Marketing, EarlyView.ABSTRACT As Generative Artificial Intelligence (GenAI) platforms, such as ChatGPT, have transformed digital search querying behavior, mounting operational costs challenge firms to explore alternative monetization strategies beyond traditional subscription models.
Veronica Rosendo‐Rios, Paurav Shukla
wiley +1 more source
Intelligent Decision Forest Models for Customer Churn Prediction
Applied Sciences, 2022 Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry.
Fatima Enehezei Usman-Hamza +9 more
doaj +1 more source
Customer Churn - Prevention Model – Recomendation Engine
, 2021 The strategy of any organization is based on the growth of its customer base, and one of 5 its principles is that selling a product to an existing customer is much more profitable than acquiring 6 a new customer. However, this approach has several opportunities for improvement, since it usu- 7 ally has a totally reactive approach, which does not give ...
openaire +2 more sources
Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art
Mathematics, 2023 In the past several single classifiers, homogeneous and heterogeneous ensembles have been proposed to detect the customers who are most likely to churn.
Matthias Bogaert, Lex Delaere
semanticscholar +1 more source
The Political Quarterly, Volume 96, Issue 1, Page 189-198, January/March 2025.Abstract The Labour manifesto in this year's election implied a radical restructuring of the UK state, the way in which England is governed and in relations across the United Kingdom. The aim of making English devolution the ‘default option’ is set against fifty years of unsuccessful and partial devolution initiatives which have failed to reverse the ...
John Denham, Janice Morphet
wiley +1 more source
Infolitika Journal of Data ScienceCustomer churn is critical for businesses across various industries, especially in the telecommunications sector, where high churn rates can significantly impact revenue and growth.
T. R. Noviandy +4 more
semanticscholar +1 more source
British Journal of Educational Technology, EarlyView.Abstract This article examines recent trends in the data infrastructures of Australian schools. Data interoperability has become integral to school operations as it enables data to flow between the array of applications that are used by the school and the broader school system by using a standardized format.
Luci Pangrazio
wiley +1 more source