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A review on machine learning methods for customer churn prediction and recommendations for business practitioners
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …
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 …
academics and practitioners, there is insufficient longitudinal evidence on how they might …
Algorithmic bias in data-driven innovation in the age of AI
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 …
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
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 …
business and management research. Its objectives are as follows: to conduct a …
Digital marketing capability: the mystery of business capabilities
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 …
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?
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 …
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 …
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
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 …
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
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 …
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
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 …
existing subscribers is vital to the success of the business. Creating reliable churn prediction …