Forecasting technology trends using text mining of the gaps between science and technology: The case of perovskite solar cell technology

Li, Xin; Xie, Qianqian; Daim, Tuğrul U.; Huang, Lucheng

doi:10.1016/j.techfore.2019.01.012

Cited by 90 publications

(27 citation statements)

References 66 publications

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“…Obtaining the clustered topics is only one part of the forecasting framework used in this paper. Following the work done by [Li et al, 2019], we utilized a six-step process to identify the gaps in science and technology and forecast the future trends of the technology.…”

Section: Methodsmentioning

confidence: 99%

“…In recent years, it has been shown in different research and development projects that patents and scientific papers contain considerable amounts of important information about developed technologies [Kim, Bae, 2017]. Identifying technological trends and acting upon them can give enterprises and countries a strategic edge which results in more progression in society and an advantage in global competition [Li et al, 2019]. Most critical decision makers are aware of the importance of being ahead of competitors in detecting and taking advantage of technological trends particularly in our current knowledge economies.…”

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confidence: 99%

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Forecasting Technology Trends through the Gap Between Science and Technology: The Case of Software as an E-Commerce Service

Daim¹,

Bukhari²,

Bakry³

et al. 2021

Foresight and STI Governance

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Identifying technology trends can be a key success factor for companies to be competitive and take advantage of technological trends before they occur. The companies always work to plan for future products and services. For that, it is important to turn to methods that are used for technology forecasting. These tools help the companies to define potential markets for innovative new products and services. This paper uses text mining techniques along with expert judgment to detect and analyze the near-term technology evolution trends in a Software as a Service (SaaS) case study. The longer-term technology development trend in this case is forecasted by analyzing the gaps between science and technology. This paper contributes to the technology forecasting methodology and will be of interest to those in SaaS technology. Our findings reveal five trends in the technology: 1) virtual networking, 2) the hybrid cloud, 3) modeling methodologies, 4) mobile applications, and 5) web applications. Among the results achieved, we can summarize the interesting ones as follows: it is possible to say that traditional information systems are now evolving into online information systems. On the other hand, the use of a licensing model based on subscriptions triggers the change in perpetual licensing models. The product range that has evolved towards mobile technologies has put pressure on information storage technologies and has led to the search for new methods especially in the development of database systems.

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Forecasting Technology Trends through the Gap Between Science and Technology: The Case of Software as an E-Commerce Service

Daim¹,

Bukhari²,

Bakry³

et al. 2021

Foresight and STI Governance

Self Cite

View full text Add to dashboard Cite

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“…Sohrabi et al (2018) applied text clustering algorithms on the frontpage information and acquired trends in information systems journal articles in the field of Human Resources Management. Li et al (2019a) used text clustering to identify technology evolution paths and forecast technology development trends of perovskite solar cell technology within the short term.…”

Section: Text Clustering Of Patentsmentioning

confidence: 99%

Text Mining-Based Patent Analysis of Bim Application in Construction

Pan

Zhong

Wang

et al. 2021

Journal of Civil Engineering and Management

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As a data tool applicable to the full life-cycle of construction engineering and management, Building Information Modeling (BIM) has great potential for significantly increasing project productivity and performance. Awareness of BIM application hotspots and forecasting its trends can drive innovations in construction field. Using patents as data resources, this study develops an effective framework integrating the citation network analysis and the topic clustering technology to identify BIM application information and forecast its trends. This framework comprises three-step analysis:(1) quantitative characteristic analysis of patent outputs; (2) Social Network Analysis (SNA)-based co-occurrence network analysis; and (3) identification of BIM topics using a Latent Dirichlet Allocation (LDA). Finally, the case demonstrates the effectiveness of this framework contributing to promote technological development and innovation of BIM. The contributions of this study are threefold: (1) an innovative text mining-based framework for BIM patent analysis in construction is developed; (2) patents that have focused on identifying the application hotspots and development trend of BIM in accordance with our developed framework are reviewed; and (3) a signpost for technological development and innovation of BIM is provided.

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“…Buluşun teknik detaylarının açıklandığı tarifname metinlerinin yanında, başvuru sahibi, başvuru tarihi, patent sınıfı, atıf bilgileri ile beraber, teknoloji ve yenilik yönetimi açısından yüksek bir potansiyele sahiptirler. Patent madenciliği ile teknolojik trendler incelenebilmekte [30], geleceğe dönük teknik tahminlemeler yapılabilmekte [31], gelecekteki yenilik fırsatları araştırılabilmekte [32], rakip şirketler hakkında öngörülerde bulunulabilmekte [33] veya teknoloji partnerleri tespit edilebilmektedir [34]. Bu yönüyle patent madenciliği, firmaların teknoloji ve Ar-Ge planlamaları açısından da stratejik bir role sahiptir.…”

Section: E Patentlerin Teknolojik Analizi Ile Stratejik Teknoloji Yöunclassified

Patent Mining

Kayakökü

Akay

2021

Politeknik Dergisi

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Patent veri tabanları sürekli ve süratli bir şekilde büyüyen hacmiyle, günümüzün en önemli teknik bilgi kaynağı konumundadır. Oldukça geniş ve detaylı olan patent veri tabanlarından bilgi elde edebilmek için, gelişen veri analiz yöntemlerine başvurmak kaçınılmaz hale gelmiştir. Patent verisinden bilgi elde etmeyi ifade etmek üzere son zamanlarda patent madenciliği tabiri kullanılmaya başlanmıştır. Patent veri tabanlarının hem yapısal hem de yapısal olmayan karakteri sebebiyle, patent madenciliğinde veri madenciliği tekniklerine de metin madenciliği tekniklerine de ihtiyaç duyulmaktadır. Ancak patent dokümanları buluşların teknik yönlerinin açıklandığı metinlerden oluştuğundan, metin madenciliği uygulamalarının bu alandaki işlevi daha fazladır. Bu çalışmada patent dokümanlarının özelliklerinden bahsedilerek, metin madenciliği ile elde edilebilecek sonuçlara değinilmiştir. Literatürde patent metinleri üzerinde kullanılan metin madenciliği yöntemlerinden örnekler verilmiş ve gelecekte yapılacak çalışmalara yön vermek açısından patent dokümanları arasında benzerlik tespitinin neden önemli olduğu açıklanmıştır.

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Forecasting technology trends using text mining of the gaps between science and technology: The case of perovskite solar cell technology

Cited by 90 publications

References 66 publications

Forecasting Technology Trends through the Gap Between Science and Technology: The Case of Software as an E-Commerce Service

Forecasting Technology Trends through the Gap Between Science and Technology: The Case of Software as an E-Commerce Service

Text Mining-Based Patent Analysis of Bim Application in Construction

Patent Mining

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