Results 61 to 70 of about 899,252 (240)

Invasive goldfish trigger a regime shift in experimental lake ecosystems of varying trophic state

Journal of Animal Ecology, EarlyView.
The pet trade distributes exotic animals around the globe that enrich human lives. However, some pets become pests when released into the wild. This study provides experimental evidence that goldfish will negatively affect native freshwater organisms and ecosystems.
William D. Hintz, Hannah Barrett, Rick A. Relyea   +2 more
wiley   +1 more source

Centralised by Design: Anglocentric Constitutionalism, Accountability and the Failure of English Devolution

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

THE URBANOLOGISTS COME TO TOWN: Professional Life and Work in the Urban Solutions Industry

International Journal of Urban and Regional Research, EarlyView.
Abstract This article charts the upsurge of an eclectic global community of professionals new to the field of urban policy and governance, animated by playful and celebratory attitudes towards cities and urbanization: the urbanologists. It contributes to debates in critical urban theory and critical ethnographies of technology to problematize ...
Rachel Bok
wiley   +1 more source

Customer churn prediction in telecom sector using machine learning techniques

Results in Control and Optimization
In the telecom industry, large-scale of data is generated on daily basis by an enormous amount of customer base. Here, getting a new customer base is costlier than holding the current customers where churn is the process of customers switching from one ...
Sharmila K. Wagh, Aishwarya A. Andhale, Kishor S. Wagh, Jayshree R. Pansare, Sarita P. Ambadekar, S.H. Gawande   +5 more
doaj   +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, Abdullateef Oluwagbemiga Balogun, Luiz Fernando Capretz, Hammed Adeleye Mojeed, Saipunidzam Mahamad, Shakirat Aderonke Salihu, Abimbola Ganiyat Akintola, Shuib Basri, Ramoni Tirimisiyu Amosa, Nasiru Kehinde Salahdeen   +9 more
doaj   +1 more source

Behavioral Modeling for Churn Prediction: Early Indicators and Accurate Predictors of Custom Defection and Loyalty

, 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, Khan, Muhammad R., Manoj, Johua, Singh, Anikate   +3 more
core   +1 more source

Trust and fairness in platform–supplier contracts: Navigating supplier concerns in the sharing economy

Decision Sciences, EarlyView.
Abstract Trust and fairness are critical to the sustainable development of the sharing economy, particularly in platform–supplier relationships, where numerous individual suppliers offer access to their durable assets without transferring ownership. Motivated by the real‐world phenomenon of personalized wages and informed through direct interactions ...
Ying Yin, Xishu Li
wiley   +1 more source

Business Intelligence Untuk Prediksi Customer Churn Telekomunikasi [PDF]

, 2014
Customer atau pelanggan merupakan hal yang sangat penting bagi kelangsungan hidup suatu Perusahaan barang maupun jasa. Dengan ditinggalkan pelanggan sebuah Perusahaan akan untuk memperoleh pelanggan baru mengalami kerugian yang sangat besar bahkan ...
Arifin, M. (Muhammad)
core   +1 more source

Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis

Technologies, 2023
This paper explores the application of various machine learning techniques for predicting customer churn in the telecommunications sector. We utilized a publicly accessible dataset and implemented several models, including Artificial Neural Networks ...
Mehdi Imani, H. Arabnia
semanticscholar   +1 more source

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

European 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