Introduction to the special issue on innovative data sources for empirically building and validating theories in Operations Management
这篇专刊导论讨论了运营管理研究中传统方法（如调查和案例研究）的局限性，并介绍了实验室研究、客户评论数据、第三方网站质量评级等创新数据源，帮助研究者选择合适的数据收集策略。
Abstract All research methods have strengths and weaknesses. The two dominant empirical methodologies in operations management are the survey and the case study. Reliance on a limited number of methodologies can influence the body of knowledge that that a field generates – and even the problems that the field collectively chooses to investigate or not investigate. The special issue attempts to “push the envelope” in terms of the data sources used in operations management. In particular, the following data sources are used: laboratory study, customer comment data, third‐party web site quality ratings, process characteristics collected from e‐commerce web sites themselves, environmental performance reports, and a publicly available research database. Researchers contemplating their data gathering strategy must consider the strengths and weaknesses of each approach. The introduction to special issue discusses positives and negatives of both conventional and innovative data sources.