Modeling the Halal food process for the supply chain management in food industry

Document Type : Research Paper

Authors

1 Founder of University of Business and Science (UBS), Tashkent city, Chilanzor district, Yakkabog' MFY Gavhar Street, House 1, Uzbekistan

2 Fergana Medical Institute of Public Health, Fergana, Uzbekistan

3 Urgench State Medical Institute, Uzbekistan

4 Bukhara State Medical Institute named after Abu Ali ibn Sino, Bukhara, Uzbekistan

5 Samarkand State Medical University, Samarkand, Uzbekistan

6 Tashkent State University of Economics, Tashkent, Uzbekistan

7 Department of Animal Nutrition and Welfare, Scientific Research Institute of Karakul Sheep Breeding and Desert Ecology, Uzbekistan

8 Tashkent State Agrarian University, 2 University Street, Kibray district, Tashkent region, 111218, Uzbekistan

9 Kimyo International University in Tashkent, Uzbekistan

10 Samarkand State University of Veterinary Medicine, Livestock and Biotechnologies (SSUV), Samarkand, Uzbekistan

11 Samarkand Campus of the University of Economics and Pedagogy, Samarkand, Uzbekistan

12 Bukhara State Pedagogical Institute, Piridastgir Street, 2nd House, Bukhara, Uzbekistan

13 Samarkand State University named after Sharof Rashidov, Samarkand, Uzbekistan

Abstract

The purpose of this study was to create a model that speeds up the implementation of halal certification in Uzbekistan. It focused on improving the application acceptance stage and building the capacity of halal product process partners. This study used a mixed approach, combining qualitative and quantitative methods, and involved 250 stakeholders, including process partners, applicants, and experts from the Halal Certification Body of Uzbekistan (HCBU) and the Uzbekistan Halal Standard Agency in the cities of Tashkent, Samarkand, Bukhara, and Fergana. Data were gathered through expert interviews and a questionnaire developed by the researcher, which was analyzed using exploratory factor analysis and structural equation modeling. The statistical findings revealed that the biggest challenge in accepting applications is "incomplete documentation," with an average severity of 4.25 out of 5. The final research model showed a good fit (RMSEA=0.048, CFI=0.963) and confirmed significant causal relationships. Path analysis indicated that building the capacity of process partners has the strongest direct effect on speeding up certification (standardized path coefficient β=0.62). Additionally, improving the quality of application acceptance influences the acceleration of the process both directly (β=0.28) and indirectly through building the capacity of process partners (β=0.51). A significant gap also existed between the views of process partners and applicants. As a result, the model highlights the need for a two-part strategy: first, standardizing and simplifying the initial acceptance stage; second, consistently investing in the support of process partners as the most effective way to accelerate the process. Implementing this model can greatly help reduce the time needed for certification and strengthen Uzbekistan’s position in the global halal ecosystem.

Keywords

References

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Caspian Journal of Environmental Sciences
Volume 24, Issue 2
April 2026
Pages 363-370

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