SCOR MODEL FACTORS AFFECTING THE SUCCESS OF FOOD DELIVERY BUSINESS IN THAILAND
รหัสดีโอไอ
Creator Putthiwat SINGHDONG
Title SCOR MODEL FACTORS AFFECTING THE SUCCESS OF FOOD DELIVERY BUSINESS IN THAILAND
Contributor Prin WEERAPONG
Publisher Asian Administration and Management Review
Publication Year 2567
Journal Title Asian Administration and Management Review
Journal Vol. 7
Journal No. 1
Page no. 31–42
Keyword SCOR Model, Food Delivery, Supply Chain Management, Thailand
URL Website https://so01.tci-thaijo.org/index.php/AAMR
Website title https://so01.tci-thaijo.org/index.php/AAMR/article/view/270078
ISSN 2730-3683
Abstract The contemporary food delivery industry in Thailand has witnessed exponential growth, prompting the need for an analysis of critical success factors. This study explores the application of the SCOR (Supply Chain Operations Reference) model to identify factors crucial to the outcomes of food delivery businesses. Through empirical analysis, the study reveals that effective planning strategies are essential for enhancing sourcing activities and, consequently, delivery operations. Additionally, strategic sourcing activities significantly contribute to improving the production process, emphasizing that acquiring quality resources enhances the capacity to produce goods and services efficiently. While sourcing plays a vital role, it may not be the sole determinant of successful delivery and returns. Other variables, such as logistical efficiency, transportation, and customer service, can also impact these processes, as indicated by the research. Interestingly, the direct effect of the production process on delivery and returns appears to be insignificant. The findings underscore the importance for Thai food delivery companies to prioritize well-structured planning and astute sourcing strategies to enhance overall performance. This paper serves as a foundational resource for food delivery industry stakeholders, providing strategic insights for improved operational outcomes. For a comprehensive understanding of the industry's dynamics, additional research is recommended to dissect specific factors influencing delivery and return processes.
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