Results 71 to 80 of about 7,358 (304)

The importance of different dimensions in the experiential based model among wine tourists and wine industry experts in the Republic of Macedonia

open access: yesEkonomski Vjesnik, 2018
Wine tourism is facing new challenges where tourists are in search of extraordinary, unique and memorable experiences, which require from individual wine operators to develop a distinct, engaging and value-added offering. The latest research suggests the
Ezeni Brzovska   +2 more
doaj  

Wine routes in theory and practice of the development of religious and wine tourism of Serbia: A case study of Fruška Gora [PDF]

open access: yesZbornik Radova: Geografski Fakultet Univerziteta u Beogradu, 2023
In the last two decades, wine tourism has become increasingly important in the development plans for tourism in the Republic of Serbia, especially considering that it is very profitable.
Penjišević Ivana   +2 more
doaj  

Wineries communication strategies. A text mining analysis

open access: yes, 2022
The digital literacy that has developed in recent decades has resulted in internet playing an important role in the communication of wineries. Business websites, initially used as an exhibitor of products, quickly became one of the most important tools ...
Gallesio, Giorgia   +5 more
core   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

The effect of wine policy on the emerging cold-hardy wine industry in the northern U.S. states

open access: yesWine Economics and Policy, 2015
The recent development of cold-hardy and disease-resistant grape cultivars have enabled rapid expansion of the wine industry in northern states in the United States. As the nascent enterprises seek sustainable profitability, it is important to understand
Won Fy Lee, William C. Gartner
doaj   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

open access: yesAdvanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam   +5 more
wiley   +1 more source

Post-Fermentative Addition of Grape Seed Protein Hydrolysates and Their Impact on Wine Colour-Related Polyphenols

open access: yesBeverages
This study evaluates the effect of protein hydrolysates, obtained from grape seed meal (industrial waste), as colour stabilisers in red wines from warm climates. Protein hydrolysates were added to the wine after fermentation and maceration.
Ana Belén Mora-Garrido   +4 more
doaj   +1 more source

Establishing A Strategic Alliance for Taiwanese Rural Wineries

open access: yes, 2010
[[abstract]]ABSTRACT In a rapidly developing and completive market, the survival of rural wineries depends on the continuous upgrading of competitive value in Taiwan.
YUAW-HO CHANG, YA-LEE HO, TAIN-FUNG WU
core  

The Virginia Wineries’ Websites: An Evaluation [PDF]

open access: yes, 2017
This paper presents evaluation criteria that can be used to evaluate the effectiveness of Virginia wineries websites in the following four different dimensions: (1) general features of a website; (2) wine tourism; (3) marketing; and (4) educational.
Ferreira, Joao P.C.   +1 more
core   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

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