Results 51 to 60 of about 9,240 (196)

Decision Threshold Setting in Binary Classification Problems—A Behavioral Lens

open access: yesJournal of Operations Management, EarlyView.
ABSTRACT When binary classification models are wrong, managers face misclassification costs. Although false positive outcomes imply unnecessary mitigation efforts, false negative outcomes imply overlooking the class of interest. Humans calibrate these ai models supporting operational systems by adjusting the decision threshold that translates ...
Patrick Moder, Kai Hoberg, Felix Papier
wiley   +1 more source

GA optimization-based BRB AI reasoning algorithm for determining the factors affecting customer churn for operators

open access: yesSocial Sciences and Humanities Open
Customer churn directly leads to the weakening of the economic efficiency of an operator and even the loss of its competitive advantage in the market share. The identification and prediction of customer churn in the era of interconnection has become more
Liu Kun   +2 more
doaj   +1 more source

A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms

open access: yesEAI Endorsed Transactions on Mobile Communications and Applications, 2022
INTRODUCTION: Customer churn is a severe problem of migrating from one service provider to another. Due to the direct influence on the company's sales, companies are attempting to promote strategies to identify the churn of prospective consumers.
Sulaiman Olaniyi Abdulsalam   +3 more
doaj   +1 more source

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

open access: yes, 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   +3 more
core   +1 more source

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

open access: yesDecision 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

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

CUSTOMER CHURN PREDICTION ANALYSIS

open access: yesINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023
The Customers are the base of many successful businesses; thus, all the sectors are starting to understand how important it is to gain client satisfaction. The technical infrastructure has expanded quickly, changing how businesses operate. Due to growing business competition, the importance of marketing techniques, and customers' increasingly aware ...
E Padma Priya   +2 more
openaire   +1 more source

Affiliated Mutual Funds: Beyond the Reach of the Invisible Hand?

open access: yesFinancial 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 prediction in telecom sector using machine learning techniques

open access: yesResults 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   +5 more
doaj   +1 more source

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