Corrigendum

This article refers to:

Text mining of information resources to inform Forecasting Innovation Pathways

Text mining of information resources to inform Forecasting Innovation Pathways

Ying Guo^a, Tingting Ma^a, Alan L. Porter^b and Lu Huang^a

^aSchool of Management and Economics, Beijing Institute of Technology, Beijing, China; ^bTechnology Policy and Assessment Center, Georgia Institute of Technology, Atlanta, GA, USA

Technology Analysis & Strategic Management, Vol. 24, No. 8, pp. 843–861

DOI: 10.1080/09537325.2012.715491

The following Acknowledgements should have been included in the final version of the above paper:

Acknowledgements

This research was undertaken at Georgia Tech drawing on support from the National Science Foundation (NSF) through the Center for Nanotechnology in Society (Arizona State University; Award No. 0531194); and the Science of Science Policy Program – ‘Measuring and Tracking Research Knowledge Integration’ (Georgia Tech; Award No. 0830207); and the National Science Foundation of China Young Funds (Beijing Institute of Technology; Award No. 71103015). The findings and observations contained in this paper are those of the authors and do not reflect the views of the NSF and NSFC.