Expanding Horizons and Deepening Understanding via the Use of Secondary Data Sources
强调在物流与供应链研究中利用二手数据分析方法，综述了六种重要方法论，帮助研究者应对当代挑战并拓展研究视野。
While primary data analysis has been popular in logistics and supply chain research, secondary data methods have been overlooked. These methods, however, have the potential to generate a variety of important opportunities to expand the horizons of logistics and supply chain research. In this article, we emphasize the use of secondary data analysis and how it can address contemporary challenges in logistics and supply chain research. Our review of the logistics and supply chain literature identifies six important methodologies that can be useful for secondary data generation and analysis. We discuss how these methods can help effectively address various logistics research questions.