Results 51 to 60 of about 192 (158)

Analysing the nexus between artificial neural networks and ARIMA models in predicting customer lifetime value (CLV) for complex development of society and industrial activities

open access: yesIndustria Textila, 2022
Today, the importance of customer relationship is not hidden from anyone, and predicting the value of customer life can help organizations to create an optimal relationship with their customers. The concept of industrial society represents a symbiosis between social and industrial activities using mass-production technologies.
MOHAMMAD EHSANIFAR   +7 more
openaire   +1 more source

Marketing innovations and digital technologies: A systematic review, proposed framework, and future research agenda

open access: yesJournal of Product Innovation Management, Volume 42, Issue 1, Page 144-165, January 2025.
Abstract In recent years, scholars and practitioners have increasingly recognized the profound impact of digital technologies (DTs) on reshaping organizations' value propositions and their ability to create, communicate, and deliver value to stakeholders.
Gerard A. Athaide   +4 more
wiley   +1 more source

Comparative analysis of selected probabilistic customer lifetime value models in online shopping

open access: yesJournal of Business Economics and Management, 2019
The selection of a suitable customer lifetime value (CLV) model is a key issue for companies that are introducing a CLV managerial approach in their online B2C relationship stores.
Pavel Jasek   +4 more
doaj   +1 more source

User activity to enhance customer lifetime value modeling in contractual streaming industry

open access: yesJournal of Economy and Technology
This article presents a model for Customer Lifetime Value (CLV) tailored to the subscription-based streaming industry, incorporating both contractual dynamics and user activity.
Eudes Adiba   +3 more
doaj   +1 more source

Forecasting system's accuracy: A framework for the comparison of different structures

open access: yesApplied Stochastic Models in Business and Industry, Volume 40, Issue 2, Page 462-482, March/April 2024.
Abstract One of the most challenging aspects for managers when building a forecasting system is choosing how to aggregate the data at different levels. This is frequently done without the manager knowing how these choices can compromise the system's accuracy.
Carla Freitas Silveira Netto   +2 more
wiley   +1 more source

MODELING CUSTOMER LIFETIME VALUE WITH MARKOV CHAIN IN THE INSURANCE INDUSTRY

open access: yesBarekeng
In the competitive insurance industry, accurately predicting Customer Lifetime Value (CLV) is vital for sustaining long-term profitability and optimizing resource allocation.
Adilan Widyawan Mahdiyasa   +2 more
doaj   +1 more source

Teoría de la incertidumbre aplicada al valor del cliente en situaciones contractuales con intervalos de confianza = The Uncertainty Theory assignment in the Customer Lifetime Valuation (CLV) for contractual settings with security intervals [PDF]

open access: yesRevista de Métodos Cuantitativos para la Economía y la Empresa, 2007
El valor del consumidor ha sido un concepto muy estudiado desde hace tiempo por investigadores en las áreas de marketing. La mayoría de estas investigaciones están basadas en supuestos deterministas o aleatorios, al medir magnitudes o eventos que ...
Merigó, José M.   +2 more
doaj  

Bridging Behavioral and Emotional Intelligence: An Interpretable Multimodal Deep Learning Framework for Customer Lifetime Value Estimation in the Hospitality Industry

open access: yesMathematical and Computational Applications
Customer Lifetime Value (CLV) estimation over the observed transactional horizon is a fundamental challenge in hospitality analytics, supporting revenue management, personalization, and long-term customer relationship strategies. However, existing models
Milena Nikolić   +2 more
doaj   +1 more source

Introducing a Novel Model to Determine CLV [PDF]

open access: yesJournal of Information Technology Management, 2009
Customer Relationship Management (CRM) is a productive tool for monitoring the customer and recognizing their characteristics, behaviors, and his/her requirements and anticipating his/her reactions in order to establish a long term and strong relation ...
Jafar Razmi, Arash Ghanbari
doaj  

Relationship Marketing results: proposition of a cognitive mapping model

open access: yesRevista Brasileira de Gestão De Negócios, 2015
Objective - This research sought to develop a cognitive model that expresses how marketing professionals understand the relationship between the constructs that define relationship marketing (RM).
Iná Futino Barreto   +2 more
doaj   +1 more source

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