Results 21 to 30 of about 25,623,750 (294)

Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions

open access: yesHuman-Centric Intelligent Systems, 2022
Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Customer acquisition cost can be five to six times that of customer retention, hence investing in customers with churn risk is ...
David Hason Rudd, Huan Huo, Guandong Xu
doaj   +1 more source

Resource allocation and growth strategies in a multi‐plant firm: Kanegafuchi Spinners in the early 20th century

open access: yesStrategic Management Journal, EarlyView., 2023
Abstract Research Summary Using detailed plant‐ and individual‐level data from a major Japanese cotton spinning company in the early 20th century, we examine the within‐firm allocation of skilled human capital in conjunction with investment in physical capital, accompanying the firm's evolving strategic priorities.
Shotaro Yamaguchi   +3 more
wiley   +1 more source

FORECASTING CUSTOMER FUTURE BEHAVIOR IN RETAIL BUSINESS USING MACHINE LEARNING MODELS

open access: yesScientific Journal of Astana IT University, 2022
The ability to forecast customers’ future purchases, lifetime value, and churn are fundamental tasks in business management. These tasks become more complicated when the relationship between customers and business is not contractual.
Shyngys Akhmetbek
doaj   +1 more source

Socio-Transactional Impact of Recency, Frequency, and Monetary Features oN Customers’ Behaviour in Telecoms’ Churn Prediction

open access: yesIraqi Journal for Computer Science and Mathematics, 2022
Due to the increasing competitiveness in telecom’s market, it has now become more necessary for operators to start building personal relationship with customers for targeted retention strategies.
Ayodeji O.J Ibitoye   +3 more
doaj   +1 more source

Improving Shopping Mall Revenue by Real-Time Customized Digital Coupon Issuance

open access: yesIEEE Access, 2023
With the development of big data and deep learning technology, big data and deep learning technology have also been applied to the marketing field, which was a part of business administration.
Daeho Seo, Yongmin Yoo
doaj   +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

Machine learning based churn analysis for sellers on the e-commerce marketplace

open access: yesInternational Journal of Mathematics and Computer in Engineering, 2023
The goal of this study is to develop churn models for sellers on the e-commerce marketplace by using machine learning methods. In order to develop these models, three approaches are applied for developing the models.
Mehmet Öztürk   +2 more
semanticscholar   +1 more source

Telekomünikasyon Sektörü için Veri Madenciliği ve Makine Öğrenmesi Teknikleri ile Ayrılan Müşteri Analizi

open access: yesDüzce Üniversitesi Bilim ve Teknoloji Dergisi, 2021
Son yıllarda şirketler arası rekabetin artmasıyla beraber aboneliğinden ayrılacak müşterilerin tahmin edilmesi oldukça önemli hale gelmiştir. Müşteri karmaşası analizi, veri madenciliği, makine öğrenmesi ve derin öğrenme gibi alanlarda sıklıkla ...
Furkan Uyanık, Mustafa Cem Kasapbaşı
doaj   +1 more source

Churn Possibilities and Impossibilities [PDF]

open access: yes, 2018
Churn is processes joining or leaving the peer-to-peer overlay network. We study handling of various churn variants. Cooperative churn requires leaving processes to participate in the churn algorithm while adversarial churn allows the processes to just ...
Nesterenko, Mikhail   +2 more
core   +5 more sources

Customer churn analysis in banking sector: Evidence from explainable machine learning models

open access: yesJournal of Applied Microeconometrics, 2021
Although large companies try to gain new customers, they also want to retain their old customers. Therefore, customer churn analysis is important for identifying old customers without loss and developing new products and making new strategic decisions ...
Hasraddin Guliyev   +1 more
semanticscholar   +1 more source

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