Results 101 to 110 of about 9,107,365 (284)

Assessing the Impact of Promotions on Consumer Purchasing Behavior During Crises

Agribusiness, EarlyView.
ABSTRACT Understanding how households modify their food expenditure decisions during times of crisis is essential because consumer purchasing behavior frequently changes during these times. This study looks at these behavioral shifts during the COVID‐19 pandemic, concentrating on how price sensitivity and response to sales promotions changed over the ...
Wafa Mehaba, José María Gil
wiley   +1 more source

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

Agribusiness, 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

k-Degree Anonymity Model for Social Network Data Publishing

Advances in Electrical and Computer Engineering, 2017
Publicly accessible platform for social networking has gained special attraction because of its easy data sharing. Data generated on such social network is analyzed for various activities like marketing, social psychology, etc.
MACWAN, K. R., PATEL, S. J.
doaj   +1 more source

Is There a Market for Organic Milk in Serbia? Insights From Integrated Choice and Latent Variable Model

Agribusiness, EarlyView.
ABSTRACT Past growth in the global organic market has been concentrated in high‐income countries, while in middle‐income countries such as Serbia the organic market remains nascent and characterized by a sparse assortment of organic products, high retail premia and limited evidence on consumer preferences and their drivers.
Milan Tatic, Sanja Dzever, Bojan Matkovski, Danilo Djokic   +3 more
wiley   +1 more source

12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06)

, 2006
Privacy preservation is an important issue in the release of data for mining purposes. The k-anonymity model has been introduced for protecting individual identification.
Wong, Raymond Chi-Wing, Li, Jiuyong, Wang, Ke, Fu, Ada Wai-Chee   +3 more
core   +1 more source

Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany

Agribusiness, EarlyView.
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever, Marius Michels, Oliver Musshoff   +2 more
wiley   +1 more source

Not All Agreements Are Equal: Heterogeneous Effects of RTAs on Latin American Agri‐Food Exports, 1990–2019

Agribusiness, EarlyView.
ABSTRACT Since the final decade of the 20th century, Latin American countries have increasingly regarded the signing of regional trade agreements (RTAs) as a promising strategy for expanding their exports. Within this context, the main objective of this study is to assess the impact of RTAs on agri‐food exports in Latin America over the period 1990 ...
María‐Isabel Ayuda, Ignacio Belloc, Vicente Pinilla   +2 more
wiley   +1 more source

A Game-Theoretic Analysis of Cooperation in Anonymity Networks

Anonymity systems are of paramount and growing importance in communication networks. They rely on users to cooperate to the realisation of an effective anonymity service.
Hamadou, Sardaouna, Yang, Mu, Sassone, Vladimiro   +2 more
core   +1 more source

k-anonymity in Resource Allocation for Vehicle-to-Everything (V2X) Systems

Journal of Telecommunications and Information Technology
Sixth generation (6G) vehicle-to-everything (V2X) systems face numerous security threats, including Sybil and denial-of-service (DoS) cyber-attacks.
Andres Vejar, Faysal Marzuk, Piotr Chołda   +2 more
doaj   +1 more source

AI‐Assisted Recognition of Actual Ureteral and Pancreatic Injuries in Laparoscopic Colorectal Surgery: A Randomized Video Review Study

Annals of Gastroenterological Surgery, EarlyView.
AI‐generated anatomical highlighting improved surgeons' recognition of actual ureteral injuries during laparoscopic colorectal surgery, including recognition within predefined injury time‐code windows. No significant overall improvement was observed for pancreatic injury, and incorrect adverse‐event judgments did not increase in no‐injury videos. These
Shunjin Ryu, Teppei Kamada, Kai Neki, Asuka Kuwashima, Yuta Imaizumi, Shunsuke Nakashima, Yasuhiro Takano, Yasunobu Kobayashi, Yasuhiro Takeda, Ken Eto   +9 more
wiley   +1 more source