Results 71 to 80 of about 840,245 (337)
Agribusiness, EarlyView.Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley +1 more source
Informal Housing in Greece: A Multinomial Logistic Regression Analysis at the Regional Level
European Spatial Research and Policy, 2013 This paper deals with the primary causes of informal housing in Greece as well as the observed differentiations in informal housing patterns across space. The spatial level of analysis is the prefectural administrative level.
Serafeim Polyzos, Dionysios Minetos
doaj +1 more source
Hybrid Approach with VADER and Multinomial Logistic Regression for Multiclass Sentiment Analysis in Online Customer Review [PDF]
, 2023 Murahartawaty Arief, Noor Azah Samsudin
openalex +1 more source
A Skills Gap Analysis of Farmer Directors of US Farmer Cooperatives
Agribusiness, EarlyView.ABSTRACT Boards of directors are vital to firm performance and are an integral part of the decision‐making process of any business. Several studies have been conducted that observe corporate or nonprofit board characteristics, skills, and the board's connection to firm performance.
Jody S. Herchenbach +5 more
wiley +1 more source
Agribusiness, EarlyView.ABSTRACT Social tensions and resource depletion pose significant challenges to the agri‐food sector, highlighting the need for coordinated strategies to ensure sustainability in supply chains. Despite its critical importance, the relationship between coordination mechanisms and sustainability performance remains underexplored.
Carlos Moreno‐Miranda, Liesbeth Dries
wiley +1 more source
Süleyman Demirel Üniversitesi Fen-Edebiyat Fakültesi Fen Dergisi, 2010 : Multinomial logistic (ML) and multinomial conditional logistic (MCL) regression models are used for modeling the relationships between a polytomous response variable and a set of explanatory variables.
Yüksel ÜNVAN, Gamze ÖZEL
doaj
Agribusiness, EarlyView.ABSTRACT Smallholder farmers are reverting to traditional production methods due to the high opportunity costs and unintended consequences of new technologies. This study focuses on row planting technology, which is labor‐intensive and slow without mechanized operations.
Emmanuel Tetteh Jumpah +4 more
wiley +1 more source
Traffic Collision Severity Modeling Using Multi-Level Multinomial Logistic Regression Model
Applied SciencesThis study investigates the various factors contributing to the severity of traffic collisions, with specific attention given to elements such as the involvement of pedestrians and cyclists, the roles played by motor vehicles, prevailing weather ...
Rushdi Alsaleh +3 more
doaj +1 more source
Utilizing Multi-level Classification Techniques to Predict Adverse Drug Effects and Reactions [PDF]
, 2019 Multi-class classification models are used to predict categorical response variables with more than two possible outcomes. A collection of multi-class classification techniques such as Multinomial Logistic Regression, Na\ {i}ve Bayes, and Support Vector ...
Puhl, Victoria
core +1 more source
Agribusiness, EarlyView.ABSTRACT Despite the broad focus on necessity‐ and opportunity‐driven entrepreneurship in research and policy, the entrepreneurial dichotomy within the agribusiness context has not been adequately addressed. This study contributes to closing this knowledge gap by examining youth's perceptions of agribusiness through the lens of the push‐pull motivation
Cool Dady Mangole +6 more
wiley +1 more source