Results 41 to 50 of about 65,911 (247)
Customer churn prediction using composite deep learning technique
Scientific Reports, 2023 Customer churn, a phenomenon that causes large financial losses when customers leave a business, makes it difficult for modern organizations to retain customers.
Asad Khattak +5 more
doaj +1 more source
Strategic Change, EarlyView.ABSTRACT This study explores the immediate responses of portfolio entrepreneurs (PEs) in the Netherlands to the onset of the COVID‐19 pandemic. Employing a longitudinal design, real‐time data were collected from 21 PEs through verbal interviews and open‐ended questionnaires, capturing their initial entrepreneurial reactions.
Tobias Kutzewski, Ingrid A. M. Wakkee
wiley +1 more source
Business Dynamics Statistics: An Overview [PDF]
, 2009 Describes new measures of business dynamics at the economy-wide, broad industry, state, firm size, and firm age levels of aggregation. Outlines findings on the effects of business formation on employment growth and churn rates among young ...
Javier Miranda +2 more
core +1 more source
Financial Services Review, 1996 Churning involves excessive trading by stockbrokers in order to generate commissions. Current practice uses the turnover ratio to detect excessive trading. The turnover ratio is a flawed indicator of the actual hartn of excessive trading which is commissions. This paper examines the intersection of law and financial analysis in the
openaire +1 more source
Journal of the Science of Food and Agriculture, EarlyView.Abstract BACKGROUND Most studies of high oil content soy protein‐stabilized emulsions have focused on fluid systems, with limited attention given to the thermo‐mechanical behavior of firm emulsions. This study examined the thermal robustness and mechanical properties of palm oil‐based emulsions stabilized with soy protein isolate, glycerol monostearate
Natália Aparecida Mello +1 more
wiley +1 more source
Comparison of Nurse Staffing Based on Changes in Unit-level Workload Associated with Patient Churn [PDF]
, 2015 Aim This analysis compares the staffing implications of three measures of nurse staffing requirements: midnight census, turnover adjustment based on length of stay, and volume of admissions, discharges and transfers.
Bobay, Kathleen +3 more
core +1 more source
Ensembles of probability estimation trees for customer churn prediction [PDF]
, 2010 Customer churn prediction is one of the most, important elements tents of a company's Customer Relationship Management, (CRM) strategy In tins study, two strategies are investigated to increase the lift. performance of ensemble classification models, i.e
A. Lemmens +20 more
core +3 more sources
Schedae Informaticae, 2017 Mutation testing is considered as one of the most effective quality improvement technique by assessing the strength of the actual test suite. If no test is able to kill a given mutant, this means that the tests are not strong enough and we need to write additional one that will be able to kill this mutant.
Mnich, Michał +2 more
openaire +3 more sources
Optimizing Monetization Strategies for Generative AI Firms: Implications for Search Engagement
Psychology &Marketing, EarlyView.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
F1000Research, 2021 Background: Customer churn is a term that refers to the rate at which customers leave the business. Churn could be due to various factors, including switching to a competitor, cancelling their subscription because of poor customer service, or ...
Nurulhuda Mustafa +2 more
doaj +1 more source