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Seung‐pyo Jun

Biographic Data

ID6506429
NAMESeung‐pyo Jun
GIVEN NAMESSeung‐pyo
FAMILY NAMEJun
SIGNATUREJUN S P
AFFILIATIONSKorea Institute of Science & Technology Information
ORCID0000-0002-4203-7990
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS9
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2022
H-INDEX3
  • Does demand-side innovation policy drive lock-in? Global evidence from solar energy in 155 countries

    Open Access•Juyeon Lee, Seung‐pyo Jun et al.•ARTICLE•Energy Research & Social Science•2022•Cited by: 3•References: 8

    Demand-side innovation policies have recently been playing a significant role in solving contemporary challenges, especially in the energy sector. They facilitate the introduction and diffusion of mature technologies with low technical risk in the market, thereby creating a demand for innovation centered on mature technologies. It has the potential to induce lock-ins to mature technologies, which may cause long-term problems. This study investiga…

  • The impact of the pandemic declaration on public awareness and behavior

    Open Access•Seung‐pyo Jun, Hyoung Sun Yoo et al.•ARTICLE•Technological Forecasting and…•2021

    The unprecedented outbreaks of epidemics such as the coronavirus has caused major socio-economic changes. To analyze public risk awareness and behavior in response to the outbreak of epidemic diseases, this study focuses on RSV (Relative Search Volume) provided by Google Trends. This study uses the social big data provided by Google RSV to investigate how the WHO's pandemic declaration affected public awareness and behavior. 37 OECD countries wer…

  • Method of improving the performance of public-private innovation networks by linking heterogeneous DBs

    Open Access•Seung‐pyo Jun, Jaeseong Lee et al.•ARTICLE•Technological Forecasting and…•2020

    Due to the complexity of the innovation process and intensifying competition, small and medium enterprises (SMEs) have increased their participation in public-private innovation networks (PPINs). This study used both inference and prediction models by linking two heterogeneous databases (DBs), consisting of the responses of 1,439 manufacturing SMEs to the Korean Innovation Survey and the financial information of approximately 119,890 companies. I…

  • Privacy-preserving data mining for open government data from heterogeneous sources

    Open Access•Jae‐Seong Lee, Jae-Seong Lee et al.•ARTICLE•Government Information Quarterly•2020•Cited by: 3•References: 6

    Open data is a global movement with the potential to generate significant social and economic benefits. Policies on open government data (OGD) inspire the development of new and innovative services that government agencies may lack. The International Open Data Charter adequately describes the importance of data mining. Governments that have signed this charter should focus on the following areas—(i) data mining, (ii) linkage, and (iii) in-depth a…

  • Ten years of research change using Google Trends

    Open Access•Seung‐pyo Jun, Seung-Pyo Jun et al.•ARTICLE•Technological Forecasting and…•2018

    This study seeks to analyze the trends in research studies in the past decade which have utilized Google Trends, a new source of big data, to examine how the scope of research has expanded. Our purpose is to conduct a comprehensive and objective research into how the public use of Big Data from web searches has affected research, and furthermore, to discuss the implications of Google Trends in terms of Big Data utilization and application. To thi…

  • Visualization of brand positioning based on consumer web search information

    Open Access•Seung‐pyo Jun, Do-Hyung Park•ARTICLE•Internet Research•2017•Cited by: 3•References: 4

    Purpose Online web searches have played crucial roles in influencing consumers’ purchasing decisions. Web search traffic information enables researchers and practitioners to better understand consumers in terms of their preferences and interests, among other things. The purpose of this paper is to use web search traffic information provided by Google Trends to derive relationships among product brands as well as those between product brands and p…

  • Does demand-side innovation policy drive lock-in? Global evidence from solar energy in 155 countries

    Open Access•Juyeon Lee, Seung‐pyo Jun et al.•ARTICLE•Energy Research & Social Science•2022•Cited by: 3•References: 8

    Demand-side innovation policies have recently been playing a significant role in solving contemporary challenges, especially in the energy sector. They facilitate the introduction and diffusion of mature technologies with low technical risk in the market, thereby creating a demand for innovation centered on mature technologies. It has the potential to induce lock-ins to mature technologies, which may cause long-term problems. This study investiga…

  • Privacy-preserving data mining for open government data from heterogeneous sources

    Open Access•Jae‐Seong Lee, Jae-Seong Lee et al.•ARTICLE•Government Information Quarterly•2020•Cited by: 3•References: 6

    Open data is a global movement with the potential to generate significant social and economic benefits. Policies on open government data (OGD) inspire the development of new and innovative services that government agencies may lack. The International Open Data Charter adequately describes the importance of data mining. Governments that have signed this charter should focus on the following areas—(i) data mining, (ii) linkage, and (iii) in-depth a…

  • Visualization of brand positioning based on consumer web search information

    Open Access•Seung‐pyo Jun, Do-Hyung Park•ARTICLE•Internet Research•2017•Cited by: 3•References: 4

    Purpose Online web searches have played crucial roles in influencing consumers’ purchasing decisions. Web search traffic information enables researchers and practitioners to better understand consumers in terms of their preferences and interests, among other things. The purpose of this paper is to use web search traffic information provided by Google Trends to derive relationships among product brands as well as those between product brands and p…

  • Visualization of brand positioning based on consumer web search information

    Open Access•Seung‐pyo Jun, Do-Hyung Park•ARTICLE•Internet Research•2017•Cited by: 3•References: 4

    Purpose Online web searches have played crucial roles in influencing consumers’ purchasing decisions. Web search traffic information enables researchers and practitioners to better understand consumers in terms of their preferences and interests, among other things. The purpose of this paper is to use web search traffic information provided by Google Trends to derive relationships among product brands as well as those between product brands and p…

  • Ten years of research change using Google Trends

    Open Access•Seung‐pyo Jun, Seung-Pyo Jun et al.•ARTICLE•Technological Forecasting and…•2018

    This study seeks to analyze the trends in research studies in the past decade which have utilized Google Trends, a new source of big data, to examine how the scope of research has expanded. Our purpose is to conduct a comprehensive and objective research into how the public use of Big Data from web searches has affected research, and furthermore, to discuss the implications of Google Trends in terms of Big Data utilization and application. To thi…

  • Method of improving the performance of public-private innovation networks by linking heterogeneous DBs

    Open Access•Seung‐pyo Jun, Jaeseong Lee et al.•ARTICLE•Technological Forecasting and…•2020

    Due to the complexity of the innovation process and intensifying competition, small and medium enterprises (SMEs) have increased their participation in public-private innovation networks (PPINs). This study used both inference and prediction models by linking two heterogeneous databases (DBs), consisting of the responses of 1,439 manufacturing SMEs to the Korean Innovation Survey and the financial information of approximately 119,890 companies. I…

  • Privacy-preserving data mining for open government data from heterogeneous sources

    Open Access•Jae‐Seong Lee, Jae-Seong Lee et al.•ARTICLE•Government Information Quarterly•2020•Cited by: 3•References: 6

    Open data is a global movement with the potential to generate significant social and economic benefits. Policies on open government data (OGD) inspire the development of new and innovative services that government agencies may lack. The International Open Data Charter adequately describes the importance of data mining. Governments that have signed this charter should focus on the following areas—(i) data mining, (ii) linkage, and (iii) in-depth a…

  • The impact of the pandemic declaration on public awareness and behavior

    Open Access•Seung‐pyo Jun, Hyoung Sun Yoo et al.•ARTICLE•Technological Forecasting and…•2021

    The unprecedented outbreaks of epidemics such as the coronavirus has caused major socio-economic changes. To analyze public risk awareness and behavior in response to the outbreak of epidemic diseases, this study focuses on RSV (Relative Search Volume) provided by Google Trends. This study uses the social big data provided by Google RSV to investigate how the WHO's pandemic declaration affected public awareness and behavior. 37 OECD countries wer…

  • Does demand-side innovation policy drive lock-in? Global evidence from solar energy in 155 countries

    Open Access•Juyeon Lee, Seung‐pyo Jun et al.•ARTICLE•Energy Research & Social Science•2022•Cited by: 3•References: 8

    Demand-side innovation policies have recently been playing a significant role in solving contemporary challenges, especially in the energy sector. They facilitate the introduction and diffusion of mature technologies with low technical risk in the market, thereby creating a demand for innovation centered on mature technologies. It has the potential to induce lock-ins to mature technologies, which may cause long-term problems. This study investiga…

Computer Science (5 works) · Business (4 works) · Data mining (3 works) · Economics (3 works) · World Wide Web (3 works) · Data science (2 works) · Data-Driven Disease Surveillance (2 works) · Energy, Environment, Economic Growth (2 works) · Innovation Diffusion and Forecasting (2 works) · Innovation Policy and RD (2 works)

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