Results 61 to 70 of about 25,623,750 (294)

Hybrid C&RT-Logit Models In Churn Analysis

Folia Oeconomica Stetinensia, 2014
This article attempts to explain and predict the termination of relationships in telecommunications services by using the hybrid C&RT-logit model.
Łapczyński Mariusz
doaj   +1 more source

Predicting Customer Churn in Retailing [PDF]

, 2022
Customer churn is one of the most challenging problems for digital retailers. With significantly higher costs for acquiring new customers than retaining existing ones, knowledge about which customers are likely to churn becomes essential.
Alenljung, Beatrice, Sweidan, D.,, Sweidan, Dirar, Johansson, Ulf,, Gidenstam, Anders,, Alenljung, Beatrice,, Sweidan, Dirar,, Gidenstam, Anders, Alenljung, B.,, Johansson, Ulf, Gidenstam, A.,   +10 more
core   +1 more source

A consensus roadmap for post‐traumatic epilepsy: Clinical biomarkers, research priorities, policy barriers, and pathways to interventional trials

Epilepsia, EarlyView.
Abstract Understanding the mechanisms underlying post‐traumatic epilepsy (PTE) following traumatic brain injury (TBI), and developing strategies to prevent or modify its progression, has been the focus of large collaborative efforts within the epilepsy and TBI research communities for over a decade.
Elisa R. Zanier, Ilaria Lisi, Elaine K. O'Loughlin, Federico Moro, Edilberto Amorim, David L. Brody, Daniel J. Correa, Dominique Duncan, Pavel Klein, Firas H. Kobeissy, Wolfgang Löscher, Edward J. Needham, Asla Pitkänen, Mary Jo Pugh, Jack Somers, Annamaria Vezzani, Amy K. Wagner, Laura S. Lubbers, International Conference on PTE Attendees, Denes Agoston, Edilberto Amorim, Sneha Anand, Hibah Awwad, Ginevra Bayon, Naima Belhachemi, Akash Bera, Costanza Bertani, Guido Bertolini, David L. Brody, Serena Brusatori, Francesca Buffelli, Aurora Chiapperini, Mara Chioccola, Severn Churn, Daniel J. Correa, Ramon Diaz‐Arrastia, Chris Dulla, Dominique Duncan, Chiara Ferlito, Aristea Galanopoulou, Angela Galic, Heidi Matos Galicia, Bin Gu, William Haskins, Victoria Johnson, Nigel Jones, Lowie Joseph, Pavel Klein, Firas Kobaissy, Ilaria Lisi, David Loane, Luther Loose, Laura S. Lubbers, Wolfgang Löscher, Edoardo Mazzone, Melissa Miller, Federico Moro, Edward J. Needham, Irma Wati Ngadimon, Terence O’Brien, Elaine K. O’Loughlin, Asla Pitkanen, Mary Jo Pugh, Teresa Giovanna Ravizza, Giuseppe Remuzzi, Massimo Rizzi, Rossella Di Sapia, Tawfeeq Shekh‐Ahmad, Doug Smith, Jack Somers, Kevin Staley, Francesca Tribuzio, Alexandra Ulyanova, Gloria Vegliante, Annamaria Vezzani, Joost Wagenaar, Amy K. Wagner, Kevin W. Wang, Justin Weppner, Peter J. West, Karen Wilcox, John Wolf, Elisa R. Zanier   +82 more
wiley   +1 more source

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

Social 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, Hassan Alli, Khairul Aidil Azlin Abd Rahman   +2 more
doaj   +1 more source

Oleogels as Emerging Solid Fat Substitutes: Basic Characteristics, Preparation Strategies, and Food Applications

Food Safety and Health, EarlyView.
This article reviews the basic characteristics, factors affecting properties of oleogels, and preparation methods of oleogels. Meanwhile, their applications in meat products, dairy products, baked goods, and delivering bioactive compounds are highly summarized.
Wenyuan Zhang, Wenjin Han, Ning Zhou, Ziyue Xu, Jiayi Song, Dapeng Li, Yannan Chen   +6 more
wiley   +1 more source

Business dynamism and regional growth across the business cycle: Implications for recovery from the COVID‐19 crisis

Regional Science Policy &Practice, EarlyView., 2023
Abstract This paper sheds light on regional recovery prospects from the coronavirus disease 2019 (COVID‐19) crisis by examining the link between gross rates of establishment openings and closures and local economic growth spanning the 2001 recession and the 2007–2009 global financial crisis (GFC).
Nicholas Kacher, Stephan Weiler
wiley   +1 more source

Customer churn prediction model: a case of the telecommunication market

ECONOMICS, 2022
The telecommunications market is well developed but is characterized by oversaturation and high levels of competition. Based on this, the urgent problem is to retain customers and predict the outflow of customer base by switching subscribers to the ...
Fareniuk Yana, Zatonatska Tetiana, Dluhopolskyi Oleksandr, Kovalenko Oksana   +3 more
doaj   +1 more source

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley   +1 more source

Churn Analysis in a Romanian Telecommunications Company [PDF]

Postmodern Openings, 2019
Telecommunications is one of the sectors where the customer base plays a significant role in maintaining stable revenues, so special attention is paid to prevent their migration to other providers. Over time, businesses in the telecommunications industry have faced multiple threats of financial loss from migrating customers who want to leave their ...
Andreea DUMITRACHE, Monica Mihaela MAER MATEI   +1 more
openaire   +1 more source

Prediction of bank credit customers churn based on machine learning and interpretability analysis

Data Science in Finance and Economics
Nowadays, traditional machine learning methods for building predictive models of credit card customer churn are no longer sufficient for effective customer management. Additionally, interpreting these models has become essential.
Ying Li, Keyue Yan
semanticscholar   +1 more source