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Journal of Business Logistics, Volume 47, Issue 4, October 2026.ABSTRACT Supply chain leaders increasingly operate with extensive technology‐enabled visibility, yet many firms still struggle to convert shared signals into timely, coordinated action. We frame this tension as the visibility‐to‐action problem in supply chain management (SCM): executives observe more than they can process and often fail to route ...
Sreedhar Madhavaram +3 more
wiley +1 more source
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos +1 more
wiley +1 more source
Data Mining Techniques in Customer Churn Prediction [PDF]
, 2012 [[abstract]]"Customer churn prediction is one of the most important problems in customer relationship management (CRM). Its aim is to retain valuable customers to maximize the profit of a company.
蔡志豐;Tsai, Chih-Fong;盧鈺欣;Lu, Yu-Hsin
core
Machine Learning–Based Customer Churn Prediction in Telecommunication Industry
Applied Computational Intelligence and Soft ComputingCustomer churn remains a major challenge in the telecommunications industry, where retaining existing customers is significantly more cost-effective than acquiring new ones.
Henry Nii-Armah Mettle +2 more
doaj +1 more source
Sistemasi: Jurnal Sistem InformasiCustomer churn prediction is a crucial aspect of the banking industry for maintaining customer loyalty and reducing the cost of acquiring new customers.
Suluh Arif Wibowo +4 more
doaj +1 more source
The Evolution of the Earnings Distribution in a Sustained Growth Economy: Evidence from Australia*
Economic Record, Volume 102, Issue 338, Page 432-462, September 2026.We examine the evolution of earnings inequality, risk and mobility in Australia from 1991 to 2020 using a 10 per cent sample of administrative tax records from the ALife dataset. Our main findings are summarised as follows. First, earnings inequality follows a distinctive trajectory: top‐end inequality increased during the 1990s and 2000s but declined ...
Darapheak Tin +2 more
wiley +1 more source
, 2022 The focus of this project is in predicting customer churn. It is essential to consider and handle the imbalance problem, that is why this project explains the imbalance problem, states its importance and presents some methods to handle it. It continues to describe the algorithms of three classification algorithms; logistic regression, classification ...
openaire +1 more source
Customer Churn in Subscription Business Model—Predictive Analytics on Customer Churn
BCP Business & Management, 2023 There is a growing tendency for more companies to develop towards a subscription business model. Under such a trend, it is important to learn about the customer churn rate within the business, learn from it and adjust business strategies accordingly.
openaire +1 more source
Explaining customer churn prediction in telecom industry using tabular machine learning models
Machine Learning with ApplicationsThe study addresses customer churn, a major issue in service-oriented sectors like telecommunications, where it refers to the discontinuation of subscriptions.
Sumana Sharma Poudel +2 more
doaj +1 more source
Research on Customer Churn Prediction Using Machine Learning Models [PDF]
SHS Web of ConferencesThe percentage of consumers or subscribers that discontinue using a product or service within a given time frame is known as the “churn rate.” Hence, using machine learning models to estimate the number of possible churn consumers is crucial for ...
Jia Xiaolei
doaj +1 more source