Introduction to the special issue on innovative data sources for empirically building and validating theories in operations management

Article Abstract:

Case studies and the survey are the most widely used research methodology in operations management but there are new data sources such as laboratory study and customer comment data that can be used as another approach. Dependence on a few methodologies affects the body of knowledge that the research field creates as well as the scope of its research topics. An analysis of conventional and innovative data sources is presented.

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How well did the new Sumitomo Electric project ranking method predict performance?

Article Abstract:

Sumitomo Electric Industries had introduced the development and execution of a new R&D project scoring method (NS-method). The efficiency of the NS-method is evaluated by making a comparison of the data generated by its application to 146 projects in 1997 with the accomplishments shown by projects in 2000.

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Forecasting R and D project performance: W.L. Gore's journey

Article Abstract:

The author examines ways to measure the performance of research and development efforts. Topics include best practices, methods of engineering, and business forecasting.

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