This study investigates the impact of perceived corporate social responsibility (CSR) on brand image within the automotive industry. It also examines how company reputation (CR) and product quality (PQ) mediate the relationship between CSR and brand image (BI). Utilizing a sample of 243 clients...

Federated Learning (FL) is an innovative technique that allows multiple firms to collaborate in training machine learning models while preserving data privacy. This is especially important in industries where data is sensitive or subject to regulations like the General Data Protection Regulation...

Advertising has a crucial role in increasing visibility, building consumer image and trust in the brand or product offered. This research aims to investigate the effect of product advertising on purchasing interest mediated by product knowledge among Small and Medium Enterprises (UKM) owners in...

This research aims to comprehensively understand the determinants influencing customers' adoption of fresh produce e-commerce services by integrating the expectation-confirmation theory of the technology acceptance model (EC-TAM), the product evaluation model, and e-logistics service quality...

The meat processing industry is strategically important for ensuring Ukraine's food security, as its products are essential in every person's diet, contributing to proper health. Therefore, it is important to examine its current state both through statistical data and by gathering and analyzing...

This study examines the effect of pricing practices and other factors on consumers’ buying behavior in the UAE in the post-Covid-19 era. The focus is on buying from hypermarkets. Other factors such as product quality, the possibility of paying with cards, convenient hypermarket layout, near...

This study analyzes how export duration affects firms' export product quality. On the basis of Chinese firms' micro data, we find that export duration has a significantly positive effect on the export product quality of firms by promoting their productivity and innovation ability. This study...

This research examined the factors that affect customer satisfaction and switching behavior in the post-merger of the state-owned Islamic banks in Indonesia. Data were collected by distributing an online questionnaire to a total of 210 Muslim customers. Furthermore, the collected data were...

This study aims to determine the effect of facilities, brand image, product quality, promotion, and service quality on customer satisfaction and loyalty at Waroeng Steak Restaurants in DKI Jakarta. This research design is descriptive and quantitative explanatory, with a multivariate analysis...

By analyzing a unique dataset from Germany’s evaluation of COVID-19 antigen rapid tests, we show that Chinese firms can excel under today’s global competition and produce tests at quality levels higher than China’s income level would suggest. We find these achievements are positively...

By analyzing a unique dataset from Germany's evaluation of COVID-19 antigen rapid tests, we show that Chinese firms can excel under today's global competition and produce tests at quality levels higher than China's income level would suggest. We find these achievements are positively associated...

This study investigates the impact of perceived corporate social responsibility (CSR) on brand image within the automotive industry. It also examines how company reputation (CR) and product quality (PQ) mediate the relationship between CSR and brand image (BI). Utilizing a sample of 243 clients...

The investigation into sharia hotel websites is highly relevant for Muslim tourists, particularly because the strict regulations governing their choices necessitate detailed information to aid in their decision-making when renting hotels online. The aim of this study is to examine the impact of...

This paper introduces a novel ratio-based framework for analyzing how consumer heterogeneity translates into product differentiation in vertically structured monopoly markets. We consider a monopolist facing a continuum of consumers and a strictly convex production cost function and identify...

This study presents a Machine Learning (ML) framework for an Ahead-of-Time (AoT) prediction of production halts and defects in particleboard manufacturing that uses only pre-production input variables. The proposed approach incorporates both Single-Task Learning (STL) and Multi-Task Learning...

This paper presents an advanced human-centric circular supply chain optimization framework that integrates economic, environmental, and behavioral dimensions into a unified multi-objective model. By jointly optimizing selling price, product quality, warranty duration, and production cycle time,...

Using data from China's A-share listed companies from 2010 to 2023, we employ the entropy weight method to create an enterprise-level new quality productive forces (NQPF) index to assess the impact of government subsidies on enterprises' NQPF. Our findings indicate that government subsidies can...

Are consumers willing to trade-off verified drug quality against higher prices in markets where substandard and falsified antibiotics are common? We answer this using a randomized online survey experiment in Nigeria. The design elicits indifference curves between the price and the verified...

The study provides a technical analysis as support for further standardization activities on the gas quality in Europe's future hydrogen infrastructure. It synthesizes key literature on the influence of different supply chain elements on hydrogen gas composition and assesses the implications of...