Results 81 to 90 of about 1,489,843 (238)
DETERMINANTS OF CUSTOMER LOYALTY AND PROPOSING A CUSTOMER LOYALTY MODEL FOR THE BANKING SECTOR OF PAKISTAN [PDF]
It is always costly to attract new customers, so the managers always try to find ways to retain their current customers and concentrate on different factors which enhances the customer loyalty among the customers of the organizations.
Afsar BILAL
core
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Background: Healthcare providers are competitive, owing to heightened customers’ awareness and expectations of health care services. Objective: The aim of this study was to determine the relationship between customer value creation and loyalty with ...
Zienolabedin Rahmani +3 more
doaj +1 more source
The Role of Corporate Social Responsibility and Corporate Image in Times of Crisis: The Mediating Role of Customer Trust. [PDF]
Chen CC +6 more
europepmc +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
This study aims to examine the effects of service quality, customer perceived value, and trust on customer satisfaction, while also analyzing the meditating role of trust.
Nadya Carissa Fernanda Putri +1 more
doaj +1 more source
ANTECEDENTS AND CONSEQUENCES OF COMMITMENT FROM COSTUMERS OF BCA FINANCE IN JAKARTA [PDF]
The background of this study was the situations that customers loyalty in a crucial constructs in marketing area, especially in relationship management.
Willy Arafah
core
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source

