Results 61 to 70 of about 1,523,124 (234)

Collective churn prediction in social network [PDF]

open access: yes, 2012
—In service-based industries, churn poses a significant threat to the integrity of the user communities and profitability of the service providers. As such, research on churn prediction methods has been actively pursued, involving either intrinsic, user ...
ZHU, Feida   +13 more
core   +1 more source

Putting Rodents at the Center of One Health Programs: A Narrative Synthesis

open access: yesIntegrative Zoology, EarlyView.
Rodents link human, animal, and environmental health across diverse ecosystems. Rodent diversity underpins both zoonotic disease risk and ecosystem function. Environmental change reshapes rodent communities and spillover dynamics. Rodents act as reservoirs, amplifiers, and sentinels of emerging pathogens.
Steven R. Belmain
wiley   +1 more source

Short‐Term Profits for Long‐Term Value: Corporate ESG Dilemmas Under Earnings Pressure and Pathways to Governance

open access: yesAccounting &Finance, EarlyView.
ABSTRACT This study examines the negative effect of earnings pressure (EP) on corporate environmental, social, and governance (ESG) performance and explores governance mechanisms that can address this problem. Drawing on behavioural agency theory and incorporating insights from resource allocation theory and agency theory, this paper identifies the key
Sha Tang   +2 more
wiley   +1 more source

Deindustrialization and demographic change: Evidence from big plant closures and downsizing

open access: yesCanadian Journal of Economics/Revue canadienne d'économique, EarlyView.
Abstract We estimate the causal effect of big manufacturing plant closures and downsizing on the socioeconomic composition of Canadian cities between 2001 and 2021. Our instrumental variables estimates show that big manufacturing plant closures and downsizing—large local labour demand shocks—lead to less population growth and a shift in the demographic
Kristian Behrens   +2 more
wiley   +1 more source

Application of machine learning techniques for churn prediction in the telecom business

open access: yesResults in Engineering
The telecom business generates a significant amount of data on a daily basis due to its massive client base. Acquiring a fresh client base is more expensive than retaining existing customers, whereas churn refers to customers transitioning from one ...
Raji Krishna   +5 more
doaj   +1 more source

Variable‐Rate Texture Compression: Real‐Time Rendering with JPEG

open access: yesComputer Graphics Forum, EarlyView.
Abstract Although variable‐rate compressed image formats such as JPEG are widely used to efficiently encode images, they have not found their way into real‐time rendering due to special requirements such as random access to individual texels. In this paper, we investigate the feasibility of variable‐rate texture compression on modern GPUs using the ...
Elias Kristmann   +2 more
wiley   +1 more source

Domain knowledge integration in data mining for churn and customer lifetime value modelling: new approaches and applications

open access: yes, 2009
The evaluation of the relationship with the customer and related benefits has become akey point for a company’s competitive advantage. Consequently, interest in keyconcepts, such as customer lifetime value and churn has increased over the years.However ...
de Oliveira Lima, Elen
core   +1 more source

Data Mining Techniques in Customer Churn Prediction [PDF]

open access: yes, 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  

Digital platform strategies from an incumbent perspective: An exploration of contextual factors and connectors

open access: yesEuropean Management Review, EarlyView.
ABSTRACT Multi‐sided platform (MSP) models have become more relevant for incumbent companies, requiring them to develop MSP engagement strategies. This study sheds light on the complex process incumbents undergo in developing platform strategies. Adopting an inductive research design, we conducted interviews with 37 decision‐makers across 35 incumbent ...
Lukas Zechel, Vivek K. Velamuri
wiley   +1 more source

Enhancing Telecom Churn Prediction Using a Fine-Tuned Bagging-Based Deep Neural Network

open access: yesApplied Artificial Intelligence
Customer churn prediction is essential for sustaining business performance and competitive advantage in the telecommunications industry. Early identification of churn enables service providers to design effective retention strategies. This study proposes
Huthaifa Aljawazneh   +2 more
doaj   +1 more source

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