Results 71 to 80 of about 899,252 (240)
Exploiting time-varying RFM measures for customer churn prediction with deep neural networks
Annals of Operations Research, 2023 Deep neural network (DNN) architectures such as recurrent neural networks and transformers display outstanding performance in modeling sequential unstructured data. However, little is known about their merit to model customer churn with time-varying data.
Gary Mena +4 more
semanticscholar +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
New Technology, Work and Employment, EarlyView.ABSTRACT Digitalization of the labour process has occasioned the emergence of new temporal orders at work. For newspaper journalists, it has resulted in a radical reorganization of newsrooms and the temporalities of news production, offering a key site for studying this process of temporal reordering.
Xanthe Whittaker
wiley +1 more source
Bagging and boosting classification trees to predict churn. [PDF]
In this paper, bagging and boosting techniques are proposed as performing tools for churn prediction. These methods consist of sequentially applying a classification algorithm to resampled or reweigthed versions of the data set. We apply these algorithms
Croux, Christophe, Lemmens, Aurélie
core +3 more sources
Employee turnover prediction and retention policies design: a case study [PDF]
, 2017 This paper illustrates the similarities between the problems of customer churn and employee turnover. An example of employee turnover prediction model leveraging classical machine learning techniques is developed.
Perthame, Benoît +2 more
core +2 more sources
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
Conditional Gains: When AI Investment Enhances Firm Efficiency
Scottish Journal of Political Economy, EarlyView.ABSTRACT The rapid adoption of artificial intelligence (AI) has raised questions about its effect on firm performance. Using a labor‐based measure of AI investment, the baseline results show no direct association between AI investment and firm efficiency.
Pantelis Kazakis
wiley +1 more source
The Role of Peer Influence in Churn in Wireless Networks
, 2014 Subscriber churn remains a top challenge for wireless carriers. These carriers need to understand the determinants of churn to confidently apply effective retention strategies to ensure their profitability and growth. In this paper, we look at the effect
Ferreira, Pedro, Han, Qiwei
core +1 more source
Engineering, Technology & Applied Science ResearchThis study investigates customer churn, which is a challenge in the telecommunications sector. Using a dataset of telecom customer churn, multiple classifiers were employed, including Random Forest, LGBM, XGBoost, Logistic Regression, Decision Trees, and
M. Alotaibi, Mohd Anul Haq
semanticscholar +1 more source