Identifying new technology areas based on firm’s internal capabilities

Seung-Jun Shin and Wonchul Seo
Additional contact information
Seung-Jun Shin: Graduate School of Management of Technology, Pukyong National University, Busan, South Korea
Wonchul Seo: Division of Systems Management and Engineering, Pukyong National University, Busan, South Korea

Journal of Administrative and Business Studies, 2017, vol. 3, issue 3, 114-121

Abstract: Previously, various studies have proposed several methods to discover new technology or product opportunities. There is, however, a problem in that they do not consider the firm’s internal capabilities or take into consideration only the technical aspects by using only patent data. The search for technological opportunities should take into account the characteristics of the industry in which the technology is applied. Therefore, this study aims to present a systematic approach to identify possible opportunities for new technology areas with firm’s internal capabilities taking into account the features of the industry. To do that, we first collect patent data and extract patent co-classification information from them. Second, we generate meaningful connections between technology classes by applying (ARM). Third, we combine the inter-industry linkage effects so that the connections can reflect a more industrial viewpoint. Finally, from the perspective of a specific firm, we derive new technology areas based on its internal capabilities in terms of technology classes. To show the applicability of the presented approach, we conduct a case study using patents granted in the Korean Intellectual Property Office (KIPO) between 2006 and 2014. This study is expected to contribute to suggesting an approach to identify new technology areas that a specific firm can practically utilize. Furthermore, it will be a basis for implementing a technology planning tool in that it can explore possible opportunities for new technology areas.

Keywords: Technology area identification; Internal capability; Association Rule Mining (ARM); Industrial linkage effect; Patent analysis (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://tafpublications.com/platform/Articles/full-jabs3.3.1.php (application/pdf)
https://tafpublications.com/gip_content/paper/Jabs-3.3.1.pdf (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:apb:jabsss:2017:p:114-121

DOI: 10.20474/jabs-3.3.1

Access Statistics for this article

Journal of Administrative and Business Studies is currently edited by Professor Dr. Usman Raja

More articles in Journal of Administrative and Business Studies from Professor Dr. Usman Raja Calle Alarcon 66, Sant Adrian De Besos 08930, Barcelona Spain.
Bibliographic data for series maintained by Professor Dr. Usman Raja ().