A review on machine learning methods for customer churn prediction and recommendations for business practitioners

A Manzoor, MA Qureshi, E Kidney, L Longo - IEEE access, 2024 - ieeexplore.ieee.org
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

[HTML][HTML] Competitive advantage: A longitudinal analysis of the roles of data-driven innovation capabilities, marketing agility, and market turbulence

OA Alghamdi, G Agag - Journal of Retailing and Consumer Services, 2024 - Elsevier
While data-driven innovation capabilities have received considerable attention from
academics and practitioners, there is insufficient longitudinal evidence on how they might …

Algorithmic bias in data-driven innovation in the age of AI

S Akter, G McCarthy, S Sajib, K Michael… - International Journal of …, 2021 - Elsevier
Data-driven innovation (DDI) gains its prominence due to its potential to transform
innovation in the age of AI. Digital giants Amazon, Alibaba, Google, Apple, and Facebook …

Soft computing in business: exploring current research and outlining future research directions

S Singh, S Singh, A Koohang, A Sharma… - … Management & Data …, 2023 - emerald.com
Purpose The primary aim of this study is to detail the use of soft computing techniques in
business and management research. Its objectives are as follows: to conduct a …

Digital marketing capability: the mystery of business capabilities

D Apasrawirote, K Yawised… - Marketing Intelligence & …, 2022 - emerald.com
Purpose This study aims to advance the understanding of digital marketing capability by
conducting a comprehensive, systematic review of relevant literature at the firm level …

Revealing the role of explainable AI: How does updating AI applications generate agility-driven performance?

M Masialeti, A Talaei-Khoei, AT Yang - International Journal of Information …, 2024 - Elsevier
This study examines the role of explainable AI in the relationship between updating a
portfolio of AI applications and performance. Updating a portfolio of AI applications relates to …

Hybrid model for profit-driven churn prediction based on cost minimization and return maximization

P Jiang, Z Liu, L Zhang, J Wang - Expert Systems with Applications, 2023 - Elsevier
Customer churn prediction is widely used to detect potential churners, which stimulates
customer retention, and decrease churn loss. Most customer churn prediction models …

[PDF][PDF] From traditional business shifted towards transformation: The emerging business opportunities and challenges in 'Metaverse'era

K Yawised, D Apasrawirote, C Boonparn - Incbaa 2022, 2022 - researchgate.net
This study aimed to explore the implications of marketing practices based on current
literature on how businesses utilize a new frontier of technology in conjunction with …

Turning digital technology to immersive marketing strategy: a strategic perspective on flexibility, agility and adaptability for businesses

K Yawised, D Apasrawirote, M Chatrangsan… - … of Entrepreneurship in …, 2022 - emerald.com
Turning digital technology to immersive marketing strategy: a strategic perspective on flexibility,
agility and adaptability for businesses | Emerald Insight Books and journals Case studies Expert …

A big data-driven hybrid model for enhancing streaming service customer retention through churn prediction integrated with explainable AI

UG Joy, KE Hoque, MN Uddin, L Chowdhury… - IEEE …, 2024 - ieeexplore.ieee.org
Customer churn prediction is a critical issue that streaming services face as retaining
existing subscribers is vital to the success of the business. Creating reliable churn prediction …