Predictor Model of the Supply Chain Effectiveness based on Critical Success Factors in a Commerce Retail Industry

Authors

DOI:

https://doi.org/10.21664/2238-8869.2022v11i2.p265-278

Keywords:

supply chain management, factor analysis, path analysis, critical success factors, predictor models

Abstract

The business environments of the globalized economy present increasing complexity under highly variable conditions of volatility, risk, and uncertainty that exert intense pressures on retailers; some of them develop programs for the improvement of the supply chain. This paper is about determining the factors of the supply chain and the development of a structural equation model. The first section presents the background, the description of the problem and a literature search of the Supply Chain factors and their classification. The Methodology section explains the development of a questionnaire as a measuring instrument based on the identified factors. The validation of the questionnaire was with the Cronbach alpha index, and then it applied to a sample of retailers in central Mexico. Using the Partial Least Squares Structural Equation Modelling Approach, the development of a structural model identified the key driver factors related to the improvement of the Supply Chain. In results report the most important factors: 1) supplier’s quality of the goods, 2) internal factors, 3) after-sale service, and 4) road infrastructure and 5) commercial environment, for commerce retail industry in México.

Author Biographies

Scott da Gama, Univeridad Nacional Autónoma de México

Doctor of Administration Sciences from Universidad Nacional Autónoma de México; Master in Business Administration from IPADE Business School; Civil Engineer from UNAM; Specialization in Finance from IPADE and in Real Estate Valuation from UNAM. Lines of investigation: Operations Administration; Logistics and Supply Chain, Distribution and retail and Warehouses and industrial developments

Jesús Andrés Hernández-Gómez, Universidad Autónoma de Ciudad Juárez

Research professor at the Institute of Engineering and Technology of the Autonomous University of Ciudad Juárez. He has a doctorate in Administrative Sciences from the National Autonomous University of Mexico, and a master’s degree in Business Administration from the Autonomous University of Chihuahua. He has been a member of the National Researchers system since 2018. His work is related to the analysis of continuous improvement systems using Structural Equation Modeling tools, and links multidisciplinary areas, from production systems, with an emphasis on the prediction of causal relationships. among the elements of the systems under study its effect on the operating performance.

María Teresa Escobeto-Portillo, Universidad Autónoma de Ciudad Juárez

PhD in Strategic Planning and Direction of Technology, Popular Autonomous University of Puebla, Puebla, Puebla, 2014. Works as a professor and researcher on Engineering and Technology Institute of the Autonomous University of Ciudad Juarez. Dra. Escobedo-Portillo, actual work is related to industrial engineering, specifically in occupational ergonomics.

Salvador Noriega, Universidad Autónoma de Ciudad Juárez

Doctor of Science in Industrial Engineering from the Technological Institute of Ciudad Juárez. Since 2012 he is a member of the National System of Researchers (SNI). He is a professor and researcher at the Institute of Engineering and Technology of the Autonomous University of Ciudad Juárez, his research work is in the areas of Ergonomics, Technology and Manufacturing Strategy and has more than 50 publications in scientific journals and 80 articles in memoirs of conferences. He is co-author of the books: "Occupational Ergonomics" and "Manual Handling of Materials". In addition, he is a founding member of the Mexican Society for Operations Research and a member of the Mexican Society of Ergonomists.

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Published

2022-08-02

How to Cite

DA GAMA, Scott; HERNÁNDEZ-GÓMEZ, Jesús Andrés; ESCOBETO-PORTILLO, María Teresa; NORIEGA, Salvador. Predictor Model of the Supply Chain Effectiveness based on Critical Success Factors in a Commerce Retail Industry. Fronteiras - Journal of Social, Technological and Environmental Science, [S. l.], v. 11, n. 2, p. 265–278, 2022. DOI: 10.21664/2238-8869.2022v11i2.p265-278. Disponível em: https://revistas2.unievangelica.edu.br/index.php/fronteiras/article/view/6301. Acesso em: 24 nov. 2024.