The Adoption of Big Data to Achieve Firm Performance of Global Logistic Companies in Thailand

• 영문명: The Adoption of Big Data to Achieve Firm Performance of Global Logistic Companies in Thailand
• 발행기관: 한국유통과학회
• 저자명: Krisana KITCHAROEN
• 간행물 정보: 『유통과학연구(JDS)』제21권 제1호, 53~63쪽, 전체 11쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2023.01.30

영문 초록

Purpose: Big Data analytics (BDA) has been recognized to improve firm performance because it can efficiently manage and process large-scale, wide variety, and complex data structures. This study examines the determinants of Big Data analytics adoption toward marketing and financial performance of global logistic companies in Thailand. The research framework is adopted from the technology- organization-environment (TOE) model, including technological factors (relative advantages), organizational factors (technological infrastructure and absorptive capability), environmental factors (industry competition and government support), Big Data analytics adoption, marketing performance, and financial performance. Research design, data, and methodology: A quantitative method is applied by distributing the survey to 450 employees at the manager’s level and above. The sampling methods include judgmental, stratified random, and convenience sampling. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results: The results showed that all factors significantly influence Big Data analytics adoption, except technological infrastructure. In addition, Big Data analytics adoption significantly influences marketing and financial performance. Conversely, marketing performance has no significant influence on financial performance. Conclusions: The findings of this study can contribute to the strategic improvement of firm performance through Big Data analytics adoption in the logistics, distribution, and supply chain industries.

목차

1. Introduction

2. Literature Review

3. Research Methods and Materials

4. Results and Discussion

5. Conclusions and Recommendation

References

키워드

Big Data Analytics Technology Adotion Logistic Supply Chain Firm Performance