Causal Relationship Model of Supply Chain Management on Business Continuity Management Capabilities of Airlines Business in Thailand

Main Article Content

Santipong Jirotkulkit
Sorapol Buranakul

Abstract

          The purpose of this study is to develop the causal relationship of business continuity management capabilities of airline businesses in Thailand. To study the influence of business continuity management capabilities of airline businesses in Thailand and to propose guidelines for applying supply chain management to the business continuity management capabilities of airline businesses in Thailand.This is a mixed method research consisting of the use of quantitative research. (Quantitative Research) by collecting data using questionnaires with a group of 460 air cargo service providers and qualitative research (Qualitative Research) by defining a group of 30 key informants as in-depth interviews (In-Depth Interviews) with selection criteria (A person with expertise and experience of not less than 5 years) Statistics used in data analysis include: Descriptive Statistics consists of frequency (Frequency: F), mean (Mean: M), standard deviation (Standard deviation: S.D.), statistics analyzing relationships between variables. From the correlation value (Correlation) and inferential statistics (Inferential statistics) analyzed structural equations (Structural Equation Modeling: SEM). The results found that Type of organization Most of them are airline businesses. In terms of the number of personnel, most are more than 60 people, and in terms of the duration of business, most are 3 - 5 years.
          The results of the analysis of factors in the application of overall supply chain management It is at a high level, highest in information sharing, followed by long-term relationships. Process side Cooperation The overall results of the analysis of leadership factors in the supply chain are at the highest level. Inspiration aspect, followed by motivation aspect, ideal aspect, personal decision aspect, compensation aspect, and management aspect, respectively. The results of the factor analysis of continuous management operations are overall included in the criteria at the highest level, with the highest being Testing, improving and reviewing plans, followed by development and preparation for responding to emergencies. Project management, continuity management Continuous cultivation of culture Education and understanding of organizations In terms of setting strategies to create continuity The results of the analysis of factors in continuous management operations In terms of setting strategies to create continuity Overall, it is at a high level.
           The results of the analysis of influence curves, structural equations, causal relationship models of continuous management performance in the airline business of Thailand can be concluded that Factors in the application of supply chain management have the greatest influence on the operational aspects of continuous management. It has a total coefficient of influence of 0.89, followed by leadership in the supply chain. Total coefficient of influence is 0.87 and flexibility in the supply chain The total coefficient of influence was 0.18, with 97.0% of the influence on change, and the leadership factor in the supply chain had the highest influence on flexibility in the supply chain. It has a total coefficient of influence of 0.87, followed by the application of supply chain management. The total influence coefficient was 0.84, with 88.0% of the influence on change. In addition, it was found that the application aspect of supply chain management had an influence on the aspect of leadership in the supply chain. The total influence coefficient was 0.88, with 77.0% of the influence on change, with a statistical significance of 0.05.

Article Details

How to Cite
Jirotkulkit , S. ., & Buranakul, S. . (2024). Causal Relationship Model of Supply Chain Management on Business Continuity Management Capabilities of Airlines Business in Thailand. Journal of Roi Kaensarn Academi, 9(6), 1–15. retrieved from https://so02.tci-thaijo.org/index.php/JRKSA/article/view/268199
Section
Research Article

References

ประจักษ์ พรมงาม, & ชิตพงษ์ อัยสานนท์. (2021). โมเดลเชิงโครงสร้างความสัมพันธ์ระหว่างปัจจัยที่ส่งผลต่อ สมรรถนะโซ่อุปทานองค์กรผู้ผลิตชิ้นส่วนและอะไหล่ยานยนต์ในโครงการพัฒนาระเบียงเศรษฐกิจ พิเศษภาคตะวันออก (EEC) ของประเทศไทย. วารสารชุมชนวิจัยมหาวิทยาลัยราชภัฏนครราชสีมา.15 (4), 196-209.

สำนักงานการบินพลเรือนแห่งประเทศไทย. (2561). ประวัติ ความเป็นมา ภารกิจและหน้าที่ของสำนักงานการบิน พลเรือนแห่งประเทศไทย. กรุงเทพมหานคร: สำนักงานการบินพลเรือนแห่งประเทศไทย.

Autry, C. W., & Golicic, S. L. (2010). Evaluating buyer–supplier relationship–performance spirals: A longitudinal study. Journal of operations management. 28 (2), 87-100.

Defee, C., Esper, T., and Mollenkopf, D. (2009). “Leveraging closed-loop orientation and leadership for environmental sustainability.” Supply Chain Management: An International Journal. 14 (2), 87-98.

Fariz, F. (2022). The effect of supplier integration, manager transformational leadership on supply chain performance. Growing Science, 993-998.

Piprani, A. Z., Khan, S. A. R., Salim, R., & Khalilur Rahman, M. (2023). Unlocking sustainable supply chain performance through dynamic data analytics: a multiple mediation model of sustainable innovation and supply chain resilience. Environmental Science and Pollution Research. 30 (39), 90615-90638.

Tyssen, A. K., Wald, A., & Spieth, P. (2013). Leadership in temporary organizations: A review of leadership theories and a research agenda. Project Management Journal. 44 (6), 52-67.

The Standard. (2544). Online. From: https://thestandard.co/finnomena141063/