Integrating fuzzy-set theory into technology roadmap development to support decision-making

Son, Woojin; Lee, Sungjoo

doi:10.1080/09537325.2018.1522432

Cited by 11 publications

(5 citation statements)

References 32 publications

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“…TRM-based technology opportunity analysis can better identify the dynamic distribution of technology. It can also predict technology development trends and identify potential technology opportunities in a time series [34,40,58]. It usually consists of three layers: the market, product, and technology [39,59] layers, as shown in Figure 1.…”

Section: Technology Roadmap and Data-driven Technology Roadmapmentioning

confidence: 99%

“…Regarding data/methodology specific to TRM, some previous studies have focused on integrating data analysis tools to develop an efficient TRM [58,[71][72][73]. The TRM has excellent flexibility in the structure and development process.…”

Section: Technology Roadmap and Data-driven Technology Roadmapmentioning

confidence: 99%

“…For example, researchers have integrated various tools into TRM to accommodate the complex business environment and the rise of big data. Means such as technology mining (TM), analytic hierarchy process (AHP) [74], business model canvas (BMC) [75], cross impact analysis (CIA) [76], and fuzzy set theory [58] have been employed. Some studies used technology mining-based patents analysis for technology roadmaps to explore AI-healthcare innovation [77].…”

Section: Technology Roadmap and Data-driven Technology Roadmapmentioning

confidence: 99%

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Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

et al. 2022

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Hyperuricemia is a metabolic disease with an increasing incidence in recent years. It is critical to identify potential technology opportunities for hyperuricemia drugs to assist drug innovation. A technology roadmap (TRM) can efficiently integrate data analysis tools to track recent technology trends and identify potential technology opportunities. Therefore, this paper proposes a systematic data-driven TRM approach to identify potential technology opportunities for hyperuricemia drugs. This data-driven TRM includes the following three aspects: layer mapping, content mapping and opportunity finding. First we deal with layer mapping.. The BERT model is used to map the collected literature, patents and commercial hyperuricemia drugs data into the technology layer and market layer in TRM. The SAO model is then used to analyze the semantics of technology and market layer for hyperuricemia drugs. We then deal with content mapping. The BTM model is used to identify the core SAO component topics of hyperuricemia in technology and market dimensions. Finally, we consider opportunity finding. The link prediction model is used to identify potential technological opportunities for hyperuricemia drugs. This data-driven TRM effectively identifies potential technology opportunities for hyperuricemia drugs and suggests pathways to realize these opportunities. The results indicate that resurrecting the pseudogene of human uric acid oxidase and reducing the toxicity of small molecule drugs will be potential opportunities for hyperuricemia drugs. Based on the identified potential opportunities, comparing the DNA sequences from different sources and discovering the critical amino acid site that affects enzyme activity will be helpful in realizing these opportunities. Therefore, this research provides an attractive option analysis technology opportunity for hyperuricemia drugs.

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Section: Technology Roadmap and Data-driven Technology Roadmapmentioning

confidence: 99%

Section: Technology Roadmap and Data-driven Technology Roadmapmentioning

confidence: 99%

Section: Technology Roadmap and Data-driven Technology Roadmapmentioning

confidence: 99%

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Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

et al. 2022

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“…The traditional approach to strategic planning using technology development roadmaps is no longer enough. Among the challenges related to the application of technology development roadmaps, the following stand out (Kerr and Phaal, 2019;Son and Lee, 2019;Gerdsri et al, 2019;Son et al, 2020;Hofer et al, 2019;Volodin et al, 2019;Lahoti et al, 2018):…”

Section: Examples Of Using Technology Road-mapping In the Literaturementioning

confidence: 99%

“…Using the roadmap as a tool for integration and strengthening of existing business processes and as a platform to support and synchronizing management toolkits for the entire organization (Kerr and Phaal, 2019;Zarrin and Daim, 2019;Son and Lee, 2019;Gerdsri et al, 2019).…”

Section: Technology Managementmentioning

confidence: 99%

Technology Development Roadmaps: A Bibliometric Analysis of Scientific Literature

Winkowski¹

2020

ERSJ

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Purpose: The purpose of this article was to identify research sub-areas and to investigate methodological deficiencies in technology development roadmaps. Design/Methodology/Approach: For achieving the objective of this study, a critical analysis of literature and bibliometric analysis was carried out, through the analysis of 2610 relevant Scopus-indexed documents. The time frame of the analyzed period covered the years 1984-2019. On these grounds, a bibliometric map was developed using the VOS mapping techniquevisualization of similarities. Findings: The analysis of interrelated key terms made it possible to identify clusters as research sub-areas related to the subject of technology roadmaps. The names of clusters were proposed, which made it possible to identify research sub-areas and main research issues, in which the authors of the publications used technology development roadmaps. The main areas in which technology development roadmaps are used include among others: estimating the potential environmental impact of technology change and anticipating its effects, determining the future of technological progress in companies, at various levels of government agencies and other organizations or designing directions of technology development in the context of sustainable development. Practical implications: This issue is important not only in the theoretical aspect, but also to increase the awareness of companies to help further improve strategic management related to technology management. Originality/Value: It was proposed to develop a methodology for the designing of technology development roadmaps, which will allow for a comprehensive look at the analyzed problem and will enable to determine the directions of technology development in a comprehensive way.

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Combining machine learning with a pharmaceutical technology roadmap to analyze technological innovation opportunities

Feng¹,

Zhao²,

Wang³

et al. 2023

Computers & Industrial Engineering

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Integrating fuzzy-set theory into technology roadmap development to support decision-making

Cited by 11 publications

References 32 publications

Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

Technology Development Roadmaps: A Bibliometric Analysis of Scientific Literature

Combining machine learning with a pharmaceutical technology roadmap to analyze technological innovation opportunities

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