An integrated social network mining for product-based technology analysis of Apple
Date | 04 December 2017 |
Published date | 04 December 2017 |
DOI | https://doi.org/10.1108/IMDS-10-2016-0441 |
Pages | 2417-2430 |
Author | Juhwan Kim,Sunghae Jun,Dong-Sik Jang,Sangsung Park |
Subject Matter | Information & knowledge management,Information systems,Data management systems,Knowledge management,Knowledge sharing,Management science & operations,Supply chain management,Supply chain information systems,Logistics,Quality management/systems |
An integrated social network
mining for product-based
technology analysis of Apple
Juhwan Kim
Intellectual Property Strategy Agency, Seoul, Republic of Korea
Sunghae Jun
Department of Statistics, Cheongju University, Cheongju, Republic of Korea and
Division of Industrial Management Engineering, Korea University,
Seoul, Republic of Korea
Dong-Sik Jang
Division of Information Management Engineering, Korea University,
Seoul, Republic of Korea, and
Sangsung Park
Graduate School of Management of Technology,
Korea University, Seoul, Republic of Korea
Abstract
Purpose –Patent contains vast information on developed technologies because of the patent system. So, it is
important to analyze patent data for understanding technologies. Most previous studies on patent analysis
were focused on the technology itself. Their research results lacked the consideration of products. But the
patent analysis based on products is crucial for company because a company grows by sales of competitive
products. The purpose of this paper is to propose a novel methodology of patent analysis for product-based
technology. This study contributes to the product development strategy of a company.
Design/methodology/approach –The primary goal for developing technology is to release a new product.
So it is important to analyze the technology based on the product. In this study, the authors analyzeApple’s
technologies based in iPod, iPhone, and iPad. In addition, the authors propose a new methodology to analyze
product-based technology. The authors call this an integrated social network mining (ISNM). In the ISNM,
the authors carry out a social network analysis (SNA) according to each product of Apple, and integrate all
SNA results of iPod, iPhone, and iPad using the technological keywords.
Findings –In this case study, the authors analyze Apple’s technologies according to Apple’s innovative
products, such as the iPod, iPhone, and iPad. From the ISNM results of Apple’s technology, the authors can
find which technological detail is more important in overall structure of Apple’s technologies.
Practical implications –This study contributes to the management of technology including new product
development, technological innovation, and research and development planning. To know the technological
relationship between whole technologies based on products can be the source of intensification of
technological competitiveness.
Originality/value –Most of studies on technology analysis were focused on patent technology itself.
Though one of their research goals was to develop new product, they had their limits considering the
products because they did not use the technology information in the technology analysis. The originality of
this research is to use the product information in technology analysis using the proposed ISNM.
Keywords Social network analysis, Patent data, Apple products, Integrated social network mining,
Technology analysis
Paper type Research paper
Industrial Management & Data
Systems
Vol. 117 No. 10, 2017
pp. 2417-2430
© Emerald PublishingLimited
0263-5577
DOI 10.1108/IMDS-10-2016-0441
Received 21 October 2016
Revised 28 March 2017
Accepted 9 April 2017
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/0263-5577.htm
This research was supported by Basic Science Research Program through the National Research
Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning
(NRF-2015R1D1A1 A01059742). This re search was support ed by Basic Science Rese arch Program
through the National Research Foundation of Korea (NRF) funded by the Ministry of Education
(NRF-2017R1D1A3 B03031152).
2417
An integrated
social network
mining
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