Results 81 to 90 of about 899,252 (240)

Institutional Ownership and Corporate Sustainability Performance—A Meta‐Analysis

Business Strategy and the Environment, Volume 35, Issue 4, Page 4719-4735, May 2026.
ABSTRACT This study investigates the relationship between institutional ownership (IO) and corporate sustainability performance (SP), addressing inconsistent findings in prior research and clarifying the boundary conditions of this relationship by testing a defined set of potential moderators.
Hans Henrik Scherer, Rüdiger Hahn, Jan Endrikat   +2 more
wiley   +1 more source

Bridging Predictive Insights and Retention Strategies: The Role of Account Balance in Banking Churn Prediction

AI
The banking industry faces significant challenges, from high customer churn rates to threatening long-term revenue generation. Traditionally, churn models assess service quality using customer satisfaction metrics; however, these subjective variables ...
Tahsien Al-Quraishi, Osamah Albahri, Ahmed Albahri, Abdullah Alamoodi, Iman Mohammed Sharaf   +4 more
doaj   +1 more source

Strategic Marketing Factors for Successful Health Tourism: A Meta‐Analysis

International Journal of Tourism Research, Volume 28, Issue 3, May/June 2026.
ABSTRACT This study identifies the strategic marketing factors for the success of health tourism using a multi‐method approach involving a content analysis of the literature and a meta‐analysis. We extracted 14 strategic marketing factors and classified them into four categories based on Drucker's strategic marketing theory: competitiveness, market ...
Aqueeb Sohail Shaik, Vishakha Chauhan, Robin Nunkoo, Meehee Cho   +3 more
wiley   +1 more source

Enhancing customer retention in case of service elimination? An empirical investigation in telecommunications [PDF]

, 2019
Generally, service industries require a rapid innovation of service portfolios to gain and maintain a competitive advantage. In this context, service elimination is a tool of portfolio renewal, where customer retention is a strategic priority for ...
Kolos, Krisztina, Somosi, Agnes, Stiassny, Alfred   +2 more
core  

Optimizing Monetization Strategies for Generative AI Firms: Implications for Search Engagement

Psychology &Marketing, Volume 43, Issue 5, Page 1145-1159, May 2026.
ABSTRACT As Generative Artificial Intelligence (GenAI) platforms, such as ChatGPT, have transformed digital search querying behavior, mounting operational costs challenge firms to explore alternative monetization strategies beyond traditional subscription models.
Veronica Rosendo‐Rios, Paurav Shukla
wiley   +1 more source

A comprehensive survey on customer churn analysis studies

Journal of Information and Telecommunication
This 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, Amin Beheshti, Xuyun Zhang, Jin Foo, Alireza Jolfaei   +4 more
doaj   +1 more source

A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry

Journal of Big Data
In the telecom sector, predicting customer churn has increased in importance in recent years. Developing a robust and accurate churn prediction model takes time, but it is crucial.
Shimaa Ouf, Kholoud T. Mahmoud, Manal A. Abdel-Fattah   +2 more
semanticscholar   +1 more source

From a ‘patchwork of platforms’ to the platformized school? The changing nature of data infrastructures in education

British Journal of Educational Technology, Volume 57, Issue 3, Page 674-689, May 2026.
Abstract This article examines recent trends in the data infrastructures of Australian schools. Data interoperability has become integral to school operations as it enables data to flow between the array of applications that are used by the school and the broader school system by using a standardized format.
Luci Pangrazio
wiley   +1 more source

Access Control in Healthcare IoT: A Comprehensive Survey

Engineering Reports, Volume 8, Issue 4, April 2026.
This survey analyses access control mechanisms in Healthcare IoT, reviewing traditional and emerging models, identifying security and privacy challenges, and highlighting open research issues. It provides a comparative perspective to support the design of secure, scalable, and patient‐centric healthcare IoT systems.
Aleena Nazir, Mubashir Husain Rehmani, Bernard Butler, Donna O'Shea   +3 more
wiley   +1 more source

Utilizing Data Science and AI for Customer Churn Prediction in Marketing

Journal of Theory and Practice of Engineering Science
This 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, Tianyi Yang, Xiaoan Zhan, Yadong Shi, Huixiang Li   +4 more
semanticscholar   +1 more source