Expanding horizons and deepening understanding via the use of secondary data sources

Elliot Rabinovich, SangHyun Cheon

Research output: Contribution to journalArticle

44 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)303-316
Number of pages14
JournalJournal of Business Logistics
Volume32
Issue number4
DOIs
StatePublished - Dec 1 2011

Keywords

  • Archival data
  • Content analysis
  • Event analysis
  • Geographic information systems
  • Meta-analysis
  • Secondary data
  • Simulation

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Management Science and Operations Research

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