Green supply chain management performance within the Thai hotel industry: a structural equation model

The purpose of this paper is proposing a comprehensive model that shows the effect of green supply chain management practices on sustainable performance focusing on environmental collaboration. 311 pieceworkers companies in the field of automotive, motorcycle and agricultural machinery were investigated. Questionnaire was used for collecting data. Structural equation model were used as a technique to analyzing the data. The results of analyzing data showed that green supply chain management practices have positive effect on sustainable performance and environmental collaboration. As mediating variable environmental collaboration has also positive effect on green supply chain management practices focusing on environmental collaboration on sustainable performance. Green supply chain can help increasing sustainable performance and environmental collaboration is also considered as an important capability for facilitating executing green supply chain management. Both positively impact society through improvements to the overall environment. This research is one of the few studies that explore the effect of green supply chain management practices on sustainable performance focusing on environmental collaboration. Green supply chain management practices plays an important role of each enterprise which is involved with supply chain activities and it will help increasing sustainable performance.

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Big Data Analytics in the Agribusiness Supply Chain Management

Aibi revista de investigación, administración e ingeniería ◽

10.15649/2346030x.2583 ◽

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.

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