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 PENGARUH MANAJEMEN RANTAI PASOK TERHADAP PERFORMA USAHA BUDI DAYA UDANG VANAME DI PROVINSI BALI DAN JAWA TIMUR

2020 ◽  
Vol 6 (2) ◽  
pp. 113
Author(s):  
Rismutia Hayu Deswati ◽  
Lathifatul Rosyidah ◽  
Tenny Apriliani
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Competitive Advantage ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Business Performance ◽  
Equation Model ◽  
Chain Management ◽  
The Relationship ◽  
Positive Effect

Udang vaname merupakan salah satu komoditas ekspor unggulan Indonesia di pasar internasional. Udang vaname yang diekspor merupakan hasil produksi dari usaha budi daya yang tersebar di berbagai provinsi di Indonesia sehingga dibutuhkan rantai pasok yang optimal untuk mendukung kelancaran usaha budi daya tersebut. Tujuan dari penelitian ini untuk menganalisis pengaruh manajemen rantai pasokan terhadap keunggulan bersaing suatu usaha budi daya udang vaname dan dampak terhadap performa usaha tersebut. Lokasi penelitian adalah Provinsi Jawa Timur dan Bali karena konektivitas yang kuat antara masing-masing pembudi daya di kedua lokasi tersebut. Data yang dikumpulkan diverifikasi kemudian dianalisis menggunakan pendekatan Structural Equation Model (SEM). Hasil dari analisis menemukan bahwa variabel hubungan dengan pemasok dan modal manusia berpengaruh positif terhadap keunggulan bersaing pembudi daya dan juga berpengaruh positif kepada performa usaha budi daya tersebut. Variabel hubungan dengan pelanggan tidak berpengaruh baik terhadap keunggulan bersaing maupun performa usaha. Dari hasil ini diharapkan pemerintah bisa mengintervensi dalam bentuk perbaikan manajemen rantai pasokan udang vaname dengan meningkatkan kompetensi masing-masing anggota rantai pasok sehingga dapat optimal pada posisinya.Title: The Effect of Supply Chain Management on The Business Performance of Vaname Shrimp Farming in The Province of Bali and East JavaVaname is one of Indonesia’s leading export commodities in the international market. The exported vaname are the products from aquaculture business which are spread in various provinces in Indonesia, so an optimal supply chain is needed to support this business. The purpose of this study is to analyze supply chain management affects the competitive advantage of a vaname farming business and the impact on the performance of the business. The research sites are East Java and Bali because of the strong connectivity between each farmer in both locations. The collected data is verified and then analyzed using the Structural Equation Model (SEM) approach. The results of the analysis concluded that the relationship between suppliers and human capital variables had a positive effect on the competitive advantage of farmers and also had a positive effect on the performance of the aquaculture business. While the relationship with customer variables do not affect both competitive advantage and business performance. From this result, the government is expected to be able to intervene in the form of improved management of the vaname supply chain by increasing the competence of each member of the supply chain so that it can be optimally positioned. 

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

Adoption of Big Data Analytics in Supply Chain Management

2021 ◽  
Vol 14 (2) ◽  
pp. 88-107
Author(s):  
Amin Khalil Alsadi ◽  
Thamir Hamad Alaskar ◽  
Karim Mezghani
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Top Management ◽  
Management Support ◽  
Chain Management ◽  
Top Management Support ◽  
Intention To Adopt

Supported by the literature on big data, supply chain management (SCM), and resource-based theory (RBT), this study aims to evaluate the organizational variables that influence the intention of Saudi SCM professionals to adopt big data analytics (BDA) in SCM. A survey of 220 supply chain respondents revealed that both top management support and data-driven culture have a high significant influence on their intention to adopt BDA. However, the firm entrepreneurial orientation showed no significant effect. Also, the findings revealed that supply chain connectivity positively moderates the link between top management support and intention. This study contributes to the practical field, offering valuable insights for decision makers considering BDA adoption in SCM. It also contributes to the literature by helping minimize the research gap in BDA adoption in the Saudi context.

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