A novel approach to forecast promising technology through patent analysis

Kim, Gabjo; Bae, Jinwoo

doi:10.1016/j.techfore.2016.11.023

Cited by 151 publications

(70 citation statements)

References 50 publications

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“…There are other indices, such as the U.S. Patent Classification and Cooperative patent classification (CPC). Whereas CPC provides a more granular classification of 140,000 subsections, not all patents are publicized with CPC and, thus, we use IPC [141,142].…”

Section: Patents and Ipc Codesmentioning

confidence: 99%

The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews

Kim

2017

Sustainability

107

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Abstract:The purpose of this research is to identify the status and role of mobile technology in achieving sustainable and smart tourism, and to suggest future research and strategy directions for academia and managers in practice. This research utilized multiple sources, such as patents, academic articles, and news, and selected methodologies optimized for the purpose of each study. Study 1 used Netminer, a social network analysis program, to analyze the relationships between patent's International Patent Classification (IPC) codes. Study 2 used the T-LAB program for content analysis to analyze the texts of patents, journal articles, and news. Study 3 used the Leximancer program, which utilizes relative frequency to analyze mobile app consumer reviews. In study 1, we identified various forms of data related technologies and mobile technologies for smart city systems and maps. In study 2, we found the environment, sustainability, business, and market themes to be related to mobile technology. In study 3, we explored consumers' attitudes and preferences for mobile travel app using their reviews. Advances in mobile technology are expected to create innovative experiences for consumers, foster a sustainable competitive advantage for tourism destinations and tourism-related suppliers, and create sustainable competencies for smart tourism.

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Section: Patents and Ipc Codesmentioning

confidence: 99%

The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews

Kim

2017

Sustainability

107

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“…It is a necessary tool for technology management and can also be used for technology forecasting and R&D management [4,7,9,14,[19][20][21]. In the initial research on technology management using patent data, Biju et al used only quantitative information from five-year patent data from India to identify trends and innovation levels in India [5].…”

Section: Patent Analysis For Sustainable Technology Managementmentioning

confidence: 99%

“…On the other hand, many studies have been carried out to discover promising technologies and emerging technologies through patterns generated in patent applications using machine learning. Kim and Bae attempted to foresee promising technology by identifying patterns of keywords in patent documents using clustering, a typical unsupervised technique [9]. Kyebambe et al try to explore emerging technology utilizing supervised learning that uses patent citation information [21].…”

Section: Patent Analysis For Sustainable Technology Managementmentioning

confidence: 99%

Ensemble Modeling for Sustainable Technology Transfer

et al. 2018

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These days, technological advances are being made through technological conversion. Following this trend, companies need to adapt and secure their own sustainable technological strategies. Technology transfer is one such strategy. This method is especially effective in coping with recent technological developments. In addition, universities and research institutes are able to secure new research opportunities through technology transfer. The aim of our study is to provide a technology transfer prediction model for the sustainable growth of companies. In the proposed method, we first collected patent data from a Korean patent information service provider. Next, we used latent Dirichlet allocation, which is a topic modeling method used to identify the technical field of the collected patents. Quantitative indicators on the patent data were also extracted. Finally, we used the variables that we obtained to create a technology transfer prediction model using the AdaBoost algorithm. The model was found to have sufficient classification performance. It is expected that the proposed model will enable universities and research institutes to secure new technology development opportunities more efficiently. In addition, companies using this model can maintain sustainable growth in line, coping with the changing pace of society.

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“…However, both methods suffer from selection bias and subjective interpretation [25]. Recently, keyword analysis has been widely adopted to overcome these problems because it is based on quantitative and statistical methods by analyzing a significant number of studies [26][27][28][29][30][31][32].…”

Section: Narrative Systematic Review and Keyword Analysismentioning

confidence: 99%

“…In (1), c ij denotes the number of co-occurrences of items i and j, and w i and w j denote either the total number of occurrences of items i and j or the total number of co-occurrences of these items [44]. The association strength has been widely adopted in previous studies [26][27][28][29][30][31][32][33][43][44][45][46][47].…”

Section: Association Strengthðsmentioning

confidence: 99%

Exploring the dynamic knowledge structure of studies on the Internet of things: Keyword analysis

Yoon

Zo²,

Choi³

et al. 2018

ETRI Journal

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A wide range of studies in various disciplines has focused on the Internet of Things (IoT) and cyber‐physical systems (CPS). However, it is necessary to summarize the current status and to establish future directions because each study has its own individual goals independent of the completion of all IoT applications. The absence of a comprehensive understanding of IoT and CPS has disrupted an efficient resource allocation. To assess changes in the knowledge structure and emerging technologies, this study explores the dynamic research trends in IoT by analyzing bibliographic data. We retrieved 54,237 keywords in 12,600 IoT studies from the Scopus database, and conducted keyword frequency, co‐occurrence, and growth‐rate analyses. The analysis results reveal how IoT technologies have been developed and how they are connected to each other. We also show that such technologies have diverged and converged simultaneously, and that the emerging keywords of trust, smart home, cloud, authentication, context‐aware, and big data have been extracted. We also unveil that the CPS is directly involved in network, security, management, cloud, big data, system, industry, architecture, and the Internet.

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A novel approach to forecast promising technology through patent analysis

Cited by 151 publications

References 50 publications

The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews

The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews

Ensemble Modeling for Sustainable Technology Transfer

Exploring the dynamic knowledge structure of studies on the Internet of things: Keyword analysis

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