Causal Factors of Information Strategy for Supply Chain Management of Exporting Frozen Food Industrial
Article Sidebar
Main Article Content
Abstract
Key factors for establishing a competitive advantage within supply chain management used in the frozen food export industry include the Information Infrastructure, Strategic Information System and Information Quality. This quantitative research studied the causal factors of information strategy in the supply chain management of the frozen food export industry when applied to industrial operations and establishing a competitive advantage. The 235 samples were collected by questionnaires from 717 members of the public using stratified sampling. The data were analyzed by descriptive statistics and the causal model was verified according to goodness of fit indexes The results were as follows: The causal model was developed according to the empirical data (c2 = 70.220,d.f. =55, c2/d.f. = 1.277, p-value = 0.081, Goodness of Fit Index = 0.956, Adjusted Goodness of Fit Index = 0.927, Root Mean Square Error of Approximation = 0.048, Comparative Fit Index = 0.992, HOELTER = 227.000, Tucker-Lewis Index = 0.989). The most influential factor affecting the supply chain management performance (SCP) was the strategic information system (SIS) with a 0.549 total effect. Meanwhile, the total effect of information system quality (ISQ) to the supply chain management performance (SCP) was 0.192, and the total effect of information technology infrastructure (ITF) to the supply chain management performance (SCP) was 0.192. Furthermore, the most influential factor affecting the strategic information system (SIS) was the information technology infrastructure (ITF) with a 0.305 total effect, whilst the total effect of information system quality (ISQ) was 0.192.
Article Details
References
Department of International Trade Promotion. (2016). List of Frozen Food Exporter. [Online]. Available https://application.ditp.go.th/exporter/index/
companylist?catid=103. access on 19/11/2559. (in Thai)
เคส, สตีฟ. (2561). คลื่นลูกที่สามแห่งยุคอินเทอร์เน็ต [The third wave]. (นรา สุภัคโรจน์, ผู้แปล) (พิมพ์ครั้งที่ 1). กรุงเทพฯ: เนชั่นบุ๊คส์.
Case, Steve. (2018). The third wave. (Nara Suphakroj, Trans). 1st edition. Bangkok: Nation Books.
สำนักงานคณะกรรมการพัฒนาการเศรษฐกิจและสังคมแห่งชาติ. (2560). แผนพัฒนาเศรษฐกิจและสังคมแห่งชาติ ฉบับที่ 12 พ.ศ.2560-2564. กรุงเทพฯ: สำนักงานคณะกรรมการพัฒนาการเศรษฐกิจและสังคมแห่งชาติ.
Office of National Economics and Social Development Council. (2017). The twelfth national economic and social development plan (2017-2021). Bangkok: Office of National Economics and Social Development Council
โอภาส เอี่ยมสิริวงศ์. (2561). วิทยาการคอมพิวเตอร์และเทคโนโลยีสารสนเทศ. กรุงเทพฯ: ซีเอ็ดดูเคชั่น.
Aeimsiriwong, Opas. (2018). Computer Science and information system. Bangkok: Se-education.
Bian, W., Shang, J., & Zhang, J. (2016). Two-way information sharing under supply chain competition. International Journal of Production Economics, 178, 82-94.
Gani, A. (2017). The logistics performance effect in international trade. The Asian Journal of Shipping and Logistics, 33(4), 279-288.
Gravetter, F. J., & Wallnau, L. B. (2014). Introduction to the t statistic. Essentials of statistics for the behavioral sciences, 8, 252.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2018). Multivariate data analysis 8th edition. New Jersey: Pearson Prentice Hall.
Kabak, Ö., Ülengin, F., & Ekici, Ş. Ö. (2018). Connecting logistics performance to export: A scenario-based approach. Research in Transportation Economics, 70, 69-82.
Kotler, P., Keller, K. L., Ang, S. H., Tan, C. T., & Leong, S. M. (2018). Marketing management: an Asian perspective. 7th edition. United Kingdom: Pearson.
Laudon, K. C., & Laudon, J. P. (2015). Management Information Systems: Managing the Digital Firm Plus MyMISLab with Pearson eText--Access Card Package. 14th edition. New York: Prentice Hall Press.
Montero, J. N. (2019). Determining Business Intelligence System Usage Success Using the DeLone and McLean Information System Success Model. Doctoral dissertation. School of Business and Technology. Capella University.
Stripling, G. D. (2017). An Empirical Assessment of Energy Management Information System Success Using Structural Equation Modeling. Doctoral dissertation. College of Engineering and Computing. Nova Southeastern University.
Zhou, M., Dan, B., Ma, S., & Zhang, X. (2017). Supply chain coordination with information sharing: the informational advantage of GPOs. European Journal of Operational Research, 256(3), 785-802.