Results 31 to 40 of about 3,066,441 (303)
The structure of consumer decision-making and sensory innovations in wine labeling
Spanish Journal of Agricultural Research, 2021 Aim of study: To understand how a consumer’s decision-making process on wine choice varies when faced with labels introducing either a scratch-and-sniff strip or a Thermo-sensitive indicator as a novelty. Area of study: Navarre (Spain).
Ramo Barrena +2 more
doaj +1 more source
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning [PDF]
arXiv, 2022 Vertical federated learning (vFL) has gained much attention and been deployed to solve machine learning problems with data privacy concerns in recent years. However, some recent work demonstrated that vFL is vulnerable to privacy leakage even though only the forward intermediate embedding (rather than raw features) and backpropagated gradients (rather ...
arxiv
Postawy konsumentów wobec marek producentów i marek własnych detalistów na rynku czekolady w Polsce
Problemy Zarządzania, 2016 The subject of the article is an analysis of consumer attitudes towards brands. It is a research article that includes the results of empirical research on consumer attitudes in Poland to chocolate brands belonging to producers and brands belonging to ...
Teresa Taranko
doaj +1 more source
The impact of labels on the competitiveness of the European food label supply chain [PDF]
, 2011 The report studies the impact of private labels on the competitiveness of the European food processing industry and investigates whether a system of producer indication may improve the functioning of the food supply chain.
Bergès-Sennou, Fabian +12 more
core +2 more sources
Sustainability, 2018 The main aim of this study was to determine how chains of modern international retailers can achieve a competitive advantage (CA) by introducing private labels (PLs) in the organic category and can, in turn, stimulate the consumption of food produced ...
H. Górska-Warsewicz +8 more
semanticscholar +1 more source
ExPLoit: Extracting Private Labels in Split Learning [PDF]
arXiv, 2021 Split learning is a popular technique used for vertical federated learning (VFL), where the goal is to jointly train a model on the private input and label data held by two parties. This technique uses a split-model, trained end-to-end, by exchanging the intermediate representations (IR) of the inputs and gradients of the IR between the two parties. We
arxiv
International Journal of Management and Economics, 2018 Objective: This paper investigates the explicit and implicit factors affecting private-label (PL) products’ possible purchase decision for different retailers. Design: The study uses eyetracking and electroencephalography (EEG) to explore the differences
Garczarek-Bąk Urszula
doaj +1 more source
Journal of Agricultural and Resource Economics, 2011 This study draws upon literature from the fields of agricultural economics, industrial organization, and business to study the performance of supermarkets in the United States.
Richard J. Volpe III
doaj +1 more source
Private Label and Macroeconomic Indicators: Europe and USA
Administrative Sciences, 2020 In this study, we have analyzed the impact and evolution of some of the most important macroeconomic indices on the market share and value of private brands. The originality and objective of this work is the linkage of macroeconomic variables in European
Eloy Gil-Cordero +2 more
doaj +1 more source
Private Stream Aggregation with Labels in the Standard Model
Proceedings on Privacy Enhancing Technologies, 2021 A private stream aggregation (PSA) scheme is a protocol of n clients and one aggregator. At every time step, the clients send an encrypted value to the (untrusted) aggregator, who is able to compute the sum of all client values, but cannot learn the ...
J. Ernst, Alexander Koch
semanticscholar +1 more source