Results 71 to 80 of about 2,799 (223)
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
Churn Prediction: Does Technology Matter?
, 2008 The aim of this paper is to identify the most suitable model for churn prediction based on three different techniques. The paper identifies the variables that affect churn in reverence of customer complaints data and provides a comparative analysis of ...
Ashutosh Tiwari +3 more
core +1 more source
Predicting the influencers on wireless subscriber churn [PDF]
2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014 Wireless carriers have various churn models that are mainly based on profiling the customers and assigning churn probabilities to them. Profiling is usually limited to their individual data, such as their subscription history, demographics, usage, etc.
Sara Motahari +5 more
openaire +1 more source
Affiliated Mutual Funds: Beyond the Reach of the Invisible Hand?
Financial Management, EarlyView.ABSTRACT In many countries, banks are the primary distribution channel for mutual funds and predominantly sell products issued by their own asset management divisions (“affiliated funds”). We examine how this lack of competition affects managerial activeness, fund performance, and investor outcomes.
Dominik Scheld +3 more
wiley +1 more source
Customer Churn Analysis and Prediction
, 2022 One of the biggest data domain and most demanding use cases of recent time is Customer churn prediction. For a healthy and growing business churn prediction is an important indicator. This project aims to develop a churn prediction for banking sector.
Bristy, Badrun Nahar
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
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
Long‐Term Institutional Investors and Executive Compensation
Financial Review, EarlyView.ABSTRACT Standard agency theory views would suggest that long‐term investors will use long‐term CEO compensation to align incentives and promote long‐term value maximization. An alternative view is that long‐term investors—who are more able to bear the fixed costs associated with monitoring—will monitor more heavily than short‐term investors, reducing ...
T. Colin Campbell +2 more
wiley +1 more source
Analisis Pengaruh Metode Sampling Dalam Churn Prediction [PDF]
, 2008 ABSTRAKSI: Churn prediction adalah suatu cara untuk memprediksi pelanggan yang berpotensial untuk churn. Data mining khususnya klasifikasi tampaknya dapat menjadi salah satu alternatif solusi dalam membuat model churn prediction yang akurat.
Angelina Sagita Sastrawan
core
Enhancing Telecom Churn Prediction Using a Fine-Tuned Bagging-Based Deep Neural Network
Applied Artificial IntelligenceCustomer 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