การพัฒนาและประเมินความตรงเชิงเนื้อหาของกรอบแนวคิดปัจจัยที่มีอิทธิพลต่อ ราคากากถั่วเหลืองในประเทศไทย

Natcha Khampangpetch; Manisara Barameechai

Authors

Natcha Khampangpetch Doctor of Philosophy Program in Logistics, Faculty of Engineering, University of the Thai Chamber of Commerce
Manisara Barameechai Doctor of Philosophy Program in Logistics, Faculty of Engineering, University of the Thai Chamber of Commerce

Keywords:

Soybean Meal Price, Price Transmission, Supply Chain Management, Logistics, Index of Item–Objective Congruence (IOC)

Abstract

This study aims to develop and assess the content validity of a conceptual framework for examining the factors influencing soybean meal prices in Thailand. The proposed framework integrates key dimensions related to global economic conditions, policy and geopolitical factors, substitute products, and domestic logistics and supply chain factors. The study was conducted as a quantitative research project during the instrument development phase. A questionnaire consisting of 40 items was developed and evaluated for content validity using the Index of Item–Objective Congruence (IOC) by three subject-matter experts. In addition, the preliminary suitability of the conceptual framework and measurement indicators was assessed by 15 experts from the fields of agricultural economics, animal feed industry, and supply chain management. The results indicated that all questionnaire items met the acceptable content validity criteria, with IOC values ranging from 0.67 to 1.00 and an average IOC score of 0.88, demonstrating a high level of consistency between the measurement items and the research objectives. The expert evaluation further confirmed that the proposed framework and indicators adequately captured the key factors associated with soybean meal prices in Thailand. However, several constructs contained a limited number of indicators and should be further refined and expanded in future studies. The findings suggest that the proposed conceptual framework and research instrument provide a suitable foundation for future empirical investigations of soybean meal price determinants in Thailand. The framework may also contribute to risk management, raw material procurement planning, and supply chain decision-making within Thailand’s animal feed industry.

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