Results 131 to 140 of about 39,848 (329)
Prospects for implementation of the sustainable development strategy by domestic retailers through the private labels introduction [PDF]
Marketing i Menedžment Innovacij, 2015 The aim of the article. The aim of the article is to identify prospects of sustainable development strategy implementation through private label development.
O.O. Dуma
doaj
Reasons for variation in SCR for private label brands
European Journal of Marketing, 2013 Purpose – There is increasing managerial and academic interest in understanding behavioural loyalty to private label (PL) brands. A widely used behavioural loyalty measure is share of category requirements, or “SCR”. This study aims to examine why some PLs enjoy higher levels of SCR compared to others.
openaire +2 more sources
Value of Information of Improved Traceability in Fresh Produce Markets
Agribusiness, EarlyView.ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris +2 more
wiley +1 more source
« Retail Brand Equity: A PLS Approach [PDF]
In large retail stores, France is characterized by market saturation and even a decline of several retail concepts such as variety stores, or even supermarkets and hypermarkets (Cliquet, 2000).
Magali Jara
core
SAGE OpenIn response to rising consumer expectations for sustainability, this study examines how Environmental, Social, and Governance (ESG) practices shape brand trust and brand attachment in Vietnam’s retail sector, focusing on private-label brands. Grounded in
Anh Tho To +4 more
doaj +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Market Share and Price Setting Behavior For Private Labels and National Brands [PDF]
In this paper, we develop a framework for estimating market share and price reaction equations in an attempt to understand the nature of competitive interaction in the market for private label and branded grocery products.
Putsis, William P., Jr. +2 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
Advanced Intelligent Discovery, EarlyView.This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source