Integration of Big Data Through the Supply Chain Management Process for Driving MICE Industry towards Sustainability

2021 ◽  
Vol 32 (4) ◽  
Author(s):  
Chanattee Poompurk ◽  
Krisada Chienwattanasook
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Management Process ◽  
Chain Management ◽  
Mice Industry

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.

scholarly journals Halal Supply Chain Management in the Fishing Ports Nusantara Lamongan, Indonesia

2020 ◽  
Vol 8 (5) ◽  
pp. 1261-1265
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Qualitative Case Study ◽  
Management Process ◽  
Chain Process ◽  
Case Study Method ◽  
Chain Management ◽  
Analysis Techniques ◽  
Supply Chain Process

Objective This research is to examine the supply chain management process carried out by fishermen in searching for fish in the Brondong archipelago - Lamongan East Java fishing port. In this study, researchers used a qualitative case study method with miles and hubberman analysis techniques (data reduction, data display and data verification). In this research, researchers look directly at the supply chain management process carried out there. In this study, researchers also examined the process that is adapted to Islamic Sharia, so that the supply chain process that is there can be said as a halal activity and also thayyiban. In accordance with the research objective, which is to examine halal supply chain management, researchers found that the process carried out by the fishermen who were there in carrying out their activities could be said to be halal and also tayiban

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