Resumen
Innovation is an important issue of academic research for several decades. However, no comprehensive study in the trend of innovation topics is available. Therefore, this paper proceeds to review the innovation research. In general, the common methods for research review are content analysis, bibliometrics, and literature mining techniques, but these methods don?t provide a comprehensive viewpoint. Based on big data thinking, this study introduces Corpus-based Approach which makes the structural text database possible to extract the hidden knowledge through analyzing the text. This work uses 1,460 abstracts published from 1973 to 2015 in Journal of Business Research as the text. Moreover, the text is divided into two groups (1973-1995 and 1996-2015) to analyze the evolution of innovation research topics using WordSmith Tools with three main functions ? Concord, WordList, and KeyWords. Finally, this study provides a basis for future academic research on innovation, and offers important references for industrial practices.