2011
DOI: 10.1111/j.0000-0000.2011.01026.x
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Expanding Horizons and Deepening Understanding via the Use of Secondary Data Sources

Abstract: W hile 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 import… Show more

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Cited by 87 publications
(70 citation statements)
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“…Due to the emerging nature of the phenomenon we seek to explore, it is more difficult to gather useful, relevant information through face‐to‐face interviews. On the contrary, websites offer easy access to secondary data that “exist prior to the formulation of the research objectives at hand” (Rabinovich and Cheon , 303). Website‐based research produces results that can be considered reliable as the data on which the empirical analysis is based have not been subject to researcher bias (Lewis ).…”
Section: Methodsmentioning
confidence: 99%
“…Due to the emerging nature of the phenomenon we seek to explore, it is more difficult to gather useful, relevant information through face‐to‐face interviews. On the contrary, websites offer easy access to secondary data that “exist prior to the formulation of the research objectives at hand” (Rabinovich and Cheon , 303). Website‐based research produces results that can be considered reliable as the data on which the empirical analysis is based have not been subject to researcher bias (Lewis ).…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, in this paper, we use historical incident frequencies to estimate the probability of future incidents, and historical incident values to estimate the impact of future incidents. We have only used secondary data and in this regard we follow the reasoning of Rabinovich and Cheon (2011). They argue that the importance of secondary data analysis has been overlooked in logistics research and that it should be used to address the contemporary challenges in logistics and supply chain research.…”
Section: Methodsmentioning
confidence: 99%
“…The use of secondary data in this paper provides high internal validity and a good opportunity to replicate this study (Rabinovich and Cheon 2011). The paper follows the tradition of logistics research by using a systematic approach to understand the problem from a holistic perspective while focusing on the interactions among components rather than the causes (Aastrup and Halldórsson 2008).…”
Section: Methodsmentioning
confidence: 99%
“…While this gives us the reliability advantage of primary data in terms of knowing how it was collected (as argued in Calantone & Vickery, 2010), it does not overcome the issue of the data being collected for other purposes (the EAR evaluation studies). However, according to some researchers (Calantone & Vickery, 2010;Rabinovich & Cheon, 2011;Tomasini, 2012) this should not necessarily be seen as a weakness as it actually increases the possibility of the existing data to be free of misconceptions and prejudice given that the purpose and the intent of the data differ from its use in the study. Therefore, secondary data analysis was employed as a research strategy in this paper.…”
Section: Methodsmentioning
confidence: 99%