Research on Factors Affecting Red Pepper Yields in Korea using Big Data: Focused on the Panel Regression Analysis and the Structural Equation Model

2020 ◽  
Vol 17 (3) ◽  
pp. 110-130
Author(s):  
Seung-In Lee ◽  
Yongbeen Cho ◽  
Hye Jin Lee
Keyword(s):  
Big Data ◽  
Regression Analysis ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Red Pepper ◽  
Panel Regression ◽  
Factors Affecting

scholarly journals Structural Equation Model for Evaluating Factors Affecting Quality of Social Infrastructure Projects

2018 ◽  
Vol 10 (5) ◽  
pp. 1415 ◽  
Author(s):  
Shahid Hussain ◽  
Zhu Fangwei ◽  
Ahmed Siddiqi ◽  
Zaigham Ali ◽  
Muhammad Shabbir
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Infrastructure Projects ◽  
Social Infrastructure ◽  
Factors Affecting

Big Data Analytics in the Agribusiness Supply Chain Management

2021 ◽  
Vol 9 (3) ◽  
pp. 32-42
Author(s):  
Marisol Valencia-Cárdenas ◽  
Jorge Anibal Restrepo-Morales ◽  
Francisco Javier Día-Serna
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Equation Model ◽  
Inventory Management ◽  
Latent Variables ◽  
Structural Equation ◽  
Big Data Analytics ◽  
Equation Model ◽  
Chain Management

Importance and impact of the systems related to Agribusiness and Agri-food, are increasing around the world and demand a paramount attention. Collaboration in the inventory management is an integral part of the supply chain management, related to proactive integration among the chain actors facilitating production and supply, in especial in the agroindustrial sector of the Departamento de Antioquia, Colombia. This research establishes the main relationships between latent variables as collaboration, technology, models, optimization and inventory management, based on a literature review and applying a Structural Equation Model to a survey data of a sample of agribusiness companies. The results show that Available Technologies associated with Big Data, generates improvement of Collaboration Strategies, improving also Forecasting and Optimization; besides, Inventory Planning and Collaboration are related to Available Technologies associated with Big Data. A Poisson regression model and a Structural Equation Model estimations detect that the increasing strategies of technologies and Big Data are favorable to apply collaboration in the supply chain management, increasing possibilities to the enterprise competitiveness.

FACTORS AFFECTING HOPELESSNESS LEVELS OF TURKISH PRETEENAGERS ATTENDING PRIMARY SCHOOL: A STRUCTURAL EQUATION MODEL

2008 ◽  
Vol 36 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Veysel Yilmaz ◽  
Ayşe Sibel Turkum
Keyword(s):  
Factor Analysis ◽  
Primary School ◽  
Structural Equation Model ◽  
Educational Level ◽  
Structural Equation ◽  
Equation Model ◽  
Primary School Students ◽  
School Students ◽  
Factors Affecting ◽  
The Relationship

This study was designed to determine the factors affecting hopelessness about the future of 10–12-year-old Turkish primary school students. Firstly, descriptive factor analysis was applied in order to determine the factors affecting hopelessness levels, then a structural equation model (SEM) was utilized to describe the relationship between the specified factors and hopelessness; these relationships were tested by LISREL 8.54. The results indicated that the preteenagers' level of hopelessness was adversely affected by support received from parents and friends. The hopelessness level was also significantly affected by the preteenagers' positive self-definition and parents' educational level.

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