A patent analysis method to trace technology evolutionary pathways

Xiao Zhou (), Yi Zhang, Alan L. Porter, Ying Guo and Donghua Zhu
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Xiao Zhou: School of Management and Economics, Beijing Institute of Technology
Yi Zhang: School of Management and Economics, Beijing Institute of Technology
Alan L. Porter: School of Public Policy, Georgia Institute of Technology
Ying Guo: School of Management and Economics, Beijing Institute of Technology
Donghua Zhu: School of Management and Economics, Beijing Institute of Technology

Scientometrics, 2014, vol. 100, issue 3, No 7, 705-721

Abstract: Abstract Increased competition due to rapid technological development pushes all participants in the market to focus on the prospect of New and Emerging Science & Technologies (NESTs). One promising NEST, dye-sensitized solar cells (DSSCs), has attracted attention in recent years. We focus on three research questions: how can we estimate DSSCs research activity trends; how can we identify DSSCs market expansion patterns; and, seeking to identify potential subsystems, what are the likely evolutionary paths of DSSCs development? In this paper, patent analysis is applied to help determine the developmental stage of a particular technology and trace its potential evolutionary pathways. In addition, since patent information can reflect commercial degree, we use patent transfer patterns to help evaluate market shift prospects.

Keywords: Patent analysis; Technology evaluation; Market shift; Dye-sensitized solar cells (DSSCs) (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (13)

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DOI: 10.1007/s11192-014-1317-4

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