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Engineering Reports, Volume 8, Issue 1, January 2026.TG‐RRNet dynamically models supply chain evolution and detects hidden high‐risk nodes by integrating temporal graph learning, generative anomaly detection, and multimodal cross‐attention, achieving superior risk prediction and robust anomaly detection in complex, evolving supply chain networks.
Pinmeng Li
wiley +1 more source
A comprehensive survey on customer churn analysis studies
Journal of Information and TelecommunicationThis paper presents a comprehensive survey of customer churn analysis studies. It begins by examining the customer journey and touchpoints, emphasizing their influence on churn behaviour.
Maryam Shahabikargar +4 more
doaj +1 more source
Business Intelligence Untuk Prediksi Customer Churn Telekomunikasi [PDF]
, 2014 Customer atau pelanggan merupakan hal yang sangat penting bagi kelangsungan hidup suatu Perusahaan barang maupun jasa. Dengan ditinggalkan pelanggan sebuah Perusahaan akan untuk memperoleh pelanggan baru mengalami kerugian yang sangat besar bahkan ...
Arifin, M. (Muhammad)
core +1 more source
Utilizing Data Science and AI for Customer Churn Prediction in Marketing
Journal of Theory and Practice of Engineering ScienceThis study explores the application of data science and AI techniques in predicting customer churn within the telecommunications industry, a sector characterized by intense competition and high customer turnover rates.
Ang Li +4 more
semanticscholar +1 more source
Psychology &Marketing, Volume 43, Issue 1, Page 68-87, January 2026.ABSTRACT This paper addresses persistent gaps in distrust scholarship by systematically reviewing studies published from 1998 to 2024. We refine distrust as a construct distinct from trust, mistrust, and suspicion, shaped by unique cognitive, emotional, and behavioral mechanisms.
Xiaolan Chen +2 more
wiley +1 more source
Data-driven Customer Behaviour Model Generation for Agent Based Exploration [PDF]
, 2016 Customer retention is a critical concern for most mobile network operators because of the increasing competition in the mobile services sector. This concern has driven companies to exploit data as an avenue to better understand customer needs.
Bell, DJ, Mgbemena, C
core
Customer Churn Prediction using Machine Learning Models
Journal of Engineering Research and ReportsCustomer churn is a critical concern for the telecommunication industry. Understanding and predicting customer churn can lead to more effective retention strategies and an increase in profitability.
Glory Sam, P. Asuquo, B. Stephen
semanticscholar +1 more source
Economic Anthropology, Volume 13, Issue 1, January 2026.ABSTRACT For decades, anthropologists have fought against the intrusion of neoliberal policies and norms into the university. We have lost. Today, neoliberal policies are ubiquitous within the university, forming the contours of our professional practice and informing our relationships with colleagues, administrators, and students.
Michael Scroggins
wiley +1 more source
Applied business analytics approach to IT projects – Methodological framework [PDF]
, 2017 The design and implementation of a big data project differs from a typical business intelligence project that might be presented concurrently within the same organization. A big data initiative typically triggers a large scale IT project that is expected
Ivanov, Penko, Zlatev, Vladimir
core
The Impact of COVID‐19 on Open Source Development Activities: A Multi‐Method Study
Journal of Software: Evolution and Process, Volume 38, Issue 1, January 2026.ABSTRACT The social isolation measures resulting from the COVID‐19 outbreak changed work practices in various sectors, especially with the shift to working from home. However, the implications of the pandemic on the maintenance and evolution of open‐source software (OSS) still deserve further studies.
Márcio Vinicius Okimoto +3 more
wiley +1 more source