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Expanding Horizons and Deepening Understanding via the Use of Secondary Data Sources
Author(s) -
Rabinovich Elliot,
Cheon SangHyun
Publication year - 2011
Publication title -
journal of business logistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.611
H-Index - 79
eISSN - 2158-1592
pISSN - 0735-3766
DOI - 10.1111/j.0000-0000.2011.01026.x
Subject(s) - supply chain , variety (cybernetics) , business , supply chain management , data collection , process management , computer science , marketing , sociology , social science , artificial intelligence
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.