A closer look on patent analytics through systematic literature review

Suriayati Chuprat (), Evan Hanif Dwi Novianto, Yoshiyuki Matsuura, Akbariah Mohd Mahdzir and Aizul Nahar Harun
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Suriayati Chuprat: Universiti Teknologi Malaysia, Faculty of Artificial Intelligence
Evan Hanif Dwi Novianto: Yamaguchi University Management of Technology, Graduate School of Innovation and Technology Management
Yoshiyuki Matsuura: Yamaguchi University Management of Technology, Graduate School of Innovation and Technology Management
Akbariah Mohd Mahdzir: Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Management of Technology Department
Aizul Nahar Harun: Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Management of Technology Department

Management Review Quarterly, 2025, vol. 75, issue 4, No 6, 3035-3065

Abstract: Abstract Patent analytics plays a crucial role in influencing technological innovation and development strategies. However, solely describing the process of patent analytics is insufficient; a critical analysis of the methodologies employed, and their practical implications is required. In this paper, we delve into the realm of patent analytics by conducting a systematic literature review (SLR) of 169 papers from the web of science database. Our analysis, which is driven by six important research questions, aims to provide not only an overview of patent analytics but also a deeper understanding of the topic. In addition to shedding light on the obstacles, tools, techniques, and insights of patent analytics, we also consider uncharted territories and future directions.

Keywords: Patent analytics; Technology; Machine learning; Data analytics; Framework; Innovation (search for similar items in EconPapers)
JEL-codes: O32 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11301-024-00452-x

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