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Seokbeom Kwon

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First Name:Seokbeom
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Last Name:Kwon
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RePEc Short-ID:pkw28

Research output

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Jump to: Working papers Articles

Working papers

  1. KWON Seokbeom & MOTOHASHI Kazuyuki, 2020. "Incentive or Disincentive for Disclosure of Research Data? A Large-Scale Empirical Analysis and Implications for Open Science Policy," Discussion papers 20058, Research Institute of Economy, Trade and Industry (RIETI).
  2. KWON Seokbeom & MOTOHASHI Kazuyuki, 2015. "How Institutional Arrangements in the National Innovation System Affect Industrial Competitiveness: A study of Japan and the United States with multiagent simulation," Discussion papers 15065, Research Institute of Economy, Trade and Industry (RIETI).

Articles

  1. Kwon, Seokbeom & Drev, Matej, 2020. "Defensive Patent Aggregators as Shields against Patent Assertion Entities? Theoretical and Empirical Analysis," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
  2. Kwon, Seokbeom, 2020. "How does patent transfer affect innovation of firms?," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
  3. Schmid, Jon & Kwon, Seokbeom, 2020. "Collaboration in innovation: An empirical test of Varieties of Capitalism," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
  4. Alan L. Porter & David J. Schoeneck & Jan Youtie & Gregg E. A. Solomon & Seokbeom Kwon & Stephen F. Carley, 2019. "Learning about learning: patterns of sharing of research knowledge among Education, Border, and Cognitive Science fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1093-1117, March.
  5. Kwon, Seokbeom & Liu, Xiaoyu & Porter, Alan L. & Youtie, Jan, 2019. "Research addressing emerging technological ideas has greater scientific impact," Research Policy, Elsevier, vol. 48(9), pages 1-1.
  6. Stephen F. Carley & Seokbeom Kwon & Alan L. Porter & Jan L. Youtie, 2019. "The relationship between forward and backward diversity in CORE datasets," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 961-974, September.
  7. Jan Youtie & Gregg E. A. Solomon & Stephen Carley & Seokbeom Kwon & Alan L. Porter, 2017. "Crossing borders: A citation analysis of connections between Cognitive Science and Educational Research … and the fields in between," Research Evaluation, Oxford University Press, vol. 26(3), pages 242-255.
  8. Kwon, Seokbeom & Motohashi, Kazuyuki, 2017. "How institutional arrangements in the National Innovation System affect industrial competitiveness: A study of Japan and the U.S. with multiagent simulation," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 221-235.
  9. Philip Shapira & Seokbeom Kwon & Jan Youtie, 2017. "Tracking the emergence of synthetic biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1439-1469, September.
  10. Seokbeom Kwon & Alan Porter & Jan Youtie, 2016. "Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents: graphene and nano-enabled drug delivery," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1057-1071, March.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. KWON Seokbeom & MOTOHASHI Kazuyuki, 2020. "Incentive or Disincentive for Disclosure of Research Data? A Large-Scale Empirical Analysis and Implications for Open Science Policy," Discussion papers 20058, Research Institute of Economy, Trade and Industry (RIETI).

    Cited by:

    1. Alejandra Manco, 2022. "A Landscape of Open Science Policies Research," SAGE Open, , vol. 12(4), pages 21582440221, December.

  2. KWON Seokbeom & MOTOHASHI Kazuyuki, 2015. "How Institutional Arrangements in the National Innovation System Affect Industrial Competitiveness: A study of Japan and the United States with multiagent simulation," Discussion papers 15065, Research Institute of Economy, Trade and Industry (RIETI).

    Cited by:

    1. KAINOU Kazunari, 2021. "Regression Discontinuity Design As a Policy Impact Assessment Methodology - Assumptions, Key Points of Interpretation and Limitations for Practical Application - (Japanese)," Policy Discussion Papers (Japanese) 21001, Research Institute of Economy, Trade and Industry (RIETI).
    2. Geissinger, Andrea & Laurell, Christofer & Sandström, Christian & Eriksson, Klas & Nykvist, Rasmus, 2019. "Digital entrepreneurship and field conditions for institutional change– Investigating the enabling role of cities," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 877-886.
    3. Datta, Surja & Saad, Mohammed & Sarpong, David, 2019. "National systems of innovation, innovation niches, and diversity in university systems," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 27-36.
    4. Ratinho, Tiago & Amezcua, Alejandro & Honig, Benson & Zeng, Zhaocheng, 2020. "Supporting entrepreneurs: A systematic review of literature and an agenda for research," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    5. MOTOHASHI Kazuyuki, 2021. "Progress of Digital Platforms and their Impact on Japan's Industrial Competitiveness," Policy Discussion Papers 21001, Research Institute of Economy, Trade and Industry (RIETI).

Articles

  1. Kwon, Seokbeom & Drev, Matej, 2020. "Defensive Patent Aggregators as Shields against Patent Assertion Entities? Theoretical and Empirical Analysis," Technological Forecasting and Social Change, Elsevier, vol. 151(C).

    Cited by:

    1. Sterzi, Valerio & Rameshkoumar, Jean-Paul & Van Der Pol, Johannes, 2021. "Non-practicing entities and transparency of patent ownership in Europe: the case of UK dormant companies," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    2. Juhyun Lee & Jiho Kang & Sangsung Park & Dongsik Jang & Junseok Lee, 2020. "A Multi-Class Classification Model for Technology Evaluation," Sustainability, MDPI, vol. 12(15), pages 1-16, July.
    3. Chih-Yi, Su & Bou-Wen, Lin, 2021. "Attack and defense in patent-based competition: A new paradigm of strategic decision-making in the era of the fourth industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

  2. Kwon, Seokbeom, 2020. "How does patent transfer affect innovation of firms?," Technological Forecasting and Social Change, Elsevier, vol. 154(C).

    Cited by:

    1. Wu, Xiaokang & Yu, Jinping, 2023. "Does dialect difference impede patent transaction? Evidence from China's inter-city patent license data," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    2. Liu, Weiwei & Tao, Yuan & Bi, Kexin, 2022. "Capturing information on global knowledge flows from patent transfers: An empirical study using USPTO patents," Research Policy, Elsevier, vol. 51(5).
    3. Kim, Nami & Kim, Eonsoo & Lee, Jongseon, 2021. "Innovating by eliminating: Technological resource divestiture and firms’ innovation performance," Journal of Business Research, Elsevier, vol. 123(C), pages 176-187.
    4. Yutao Sun & Ying Zhang & Xiaofei Zhang, 2023. "Reconfiguring star inventors with commercialization: a case of the graphene sector," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5411-5440, October.
    5. Kwon, Seokbeom & Marco, Alan C., 2021. "Can antitrust law enforcement spur innovation? Antitrust regulation of patent consolidation and its impact on follow-on innovations," Research Policy, Elsevier, vol. 50(9).
    6. Cabaleiro-Cerviño, Goretti & Burcharth, Ana, 2020. "Licensing agreements as signals of innovation: When do they impact market value?," Technovation, Elsevier, vol. 98(C).

  3. Schmid, Jon & Kwon, Seokbeom, 2020. "Collaboration in innovation: An empirical test of Varieties of Capitalism," Technological Forecasting and Social Change, Elsevier, vol. 157(C).

    Cited by:

    1. Rosalia Diaz-Carrion & Noelia Franco-Leal, 2022. "Social and strategic innovation: extending the varieties of capitalism to asian countries," International Entrepreneurship and Management Journal, Springer, vol. 18(4), pages 1453-1474, December.
    2. Moshfique Uddin & Anup Chowdhury & Geoffrey Wood, 2022. "The resilience of the British and European goods industry: Challenge of Brexit," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(4), pages 934-954.

  4. Alan L. Porter & David J. Schoeneck & Jan Youtie & Gregg E. A. Solomon & Seokbeom Kwon & Stephen F. Carley, 2019. "Learning about learning: patterns of sharing of research knowledge among Education, Border, and Cognitive Science fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1093-1117, March.

    Cited by:

    1. Solomon, Gregg E.A. & Youtie, Jan & Carley, Stephen & Porter, Alan L., 2019. "What people learn about how people learn: An analysis of citation behavior and the multidisciplinary flow of knowledge," Research Policy, Elsevier, vol. 48(9), pages 1-1.

  5. Kwon, Seokbeom & Liu, Xiaoyu & Porter, Alan L. & Youtie, Jan, 2019. "Research addressing emerging technological ideas has greater scientific impact," Research Policy, Elsevier, vol. 48(9), pages 1-1.

    Cited by:

    1. Xiaowen Xi & Jiaqi Wei & Ying Guo & Weiyu Duan, 2022. "Academic collaborations: a recommender framework spanning research interests and network topology," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6787-6808, November.
    2. Harald König & Martina F. Baumann & Christopher Coenen, 2021. "Emerging Technologies and Innovation—Hopes for and Obstacles to Inclusive Societal Co-Construction," Sustainability, MDPI, vol. 13(23), pages 1-13, November.
    3. Li, Munan & Wang, Wenshu & Zhou, Keyu, 2021. "Exploring the technology emergence related to artificial intelligence: A perspective of coupling analyses," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    4. Waßenhoven, Anna & Rennings, Michael & Laibach, Natalie & Bröring, Stefanie, 2023. "What constitutes a “Key Enabling Technology” for transition processes: Insights from the bioeconomy's technological landscape," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    5. Tuba Bircan & Almila Alkim Akdag Salah, 2022. "A Bibliometric Analysis of the Use of Artificial Intelligence Technologies for Social Sciences," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    6. Peter Sjögårde & Fereshteh Didegah, 2022. "The association between topic growth and citation impact of research publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1903-1921, April.
    7. Wenjie Wei & Hongxu Liu & Zhuanlan Sun, 2022. "Cover papers of top journals are reliable source for emerging topics detection: a machine learning based prediction framework," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4315-4333, August.
    8. Ba, Zhichao & Liang, Zhentao, 2021. "A novel approach to measuring science-technology linkage: From the perspective of knowledge network coupling," Journal of Informetrics, Elsevier, vol. 15(3).
    9. Woo, Seokkyun & Youtie, Jan & Ott, Ingrid & Scheu, Fenja, 2021. "Understanding the long-term emergence of autonomous vehicles technologies," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    10. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.
    11. Block, Carolin & Wustmans, Michael & Laibach, Natalie & Bröring, Stefanie, 2021. "Semantic bridging of patents and scientific publications – The case of an emerging sustainability-oriented technology," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    12. Mike Thelwall & Pardeep Sud, 2021. "Do new research issues attract more citations? A comparison between 25 Scopus subject categories," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(3), pages 269-279, March.
    13. Ki Hong Kim & Young Jae Han & Sugil Lee & Sung Won Cho & Chulung Lee, 2019. "Text Mining for Patent Analysis to Forecast Emerging Technologies in Wireless Power Transfer," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    14. Pislyakov, Vladimir, 2022. "On some properties of medians, percentiles, baselines, and thresholds in empirical bibliometric analysis," Journal of Informetrics, Elsevier, vol. 16(4).
    15. Hugo Confraria & Vitor Hugo Ferreira & Manuel Mira Godinho, 2021. "Emerging 21st Century technologies: Is Europe still falling behind?," Working Papers REM 2021/0188, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    16. Porter, Alan L. & Chiavetta, Denise & Newman, Nils C., 2020. "Measuring tech emergence: A contest," Technological Forecasting and Social Change, Elsevier, vol. 159(C).

  6. Jan Youtie & Gregg E. A. Solomon & Stephen Carley & Seokbeom Kwon & Alan L. Porter, 2017. "Crossing borders: A citation analysis of connections between Cognitive Science and Educational Research … and the fields in between," Research Evaluation, Oxford University Press, vol. 26(3), pages 242-255.

    Cited by:

    1. Geoff Woolcott & Dan Chamberlain & Zachary Hawes & Michelle Drefs & Catherine D. Bruce & Brent Davis & Krista Francis & David Hallowell & Lynn McGarvey & Joan Moss & Joanne Mulligan & Yukari Okamoto &, 2020. "The central position of education in knowledge mobilization: insights from network analyses of spatial reasoning research across disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2323-2347, December.
    2. Alan L. Porter & David J. Schoeneck & Jan Youtie & Gregg E. A. Solomon & Seokbeom Kwon & Stephen F. Carley, 2019. "Learning about learning: patterns of sharing of research knowledge among Education, Border, and Cognitive Science fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1093-1117, March.
    3. Stephen F. Carley & Seokbeom Kwon & Alan L. Porter & Jan L. Youtie, 2019. "The relationship between forward and backward diversity in CORE datasets," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 961-974, September.
    4. Solomon, Gregg E.A. & Youtie, Jan & Carley, Stephen & Porter, Alan L., 2019. "What people learn about how people learn: An analysis of citation behavior and the multidisciplinary flow of knowledge," Research Policy, Elsevier, vol. 48(9), pages 1-1.

  7. Kwon, Seokbeom & Motohashi, Kazuyuki, 2017. "How institutional arrangements in the National Innovation System affect industrial competitiveness: A study of Japan and the U.S. with multiagent simulation," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 221-235.

    Cited by:

    1. Avilés-Sacoto, Sonia Valeria & Cook, Wade D. & Güemes-Castorena, David & Zhu, Joe, 2020. "Modelling Efficiency in Regional Innovation Systems: A Two-Stage Data Envelopment Analysis Problem with Shared Outputs within Groups of Decision-Making Units," European Journal of Operational Research, Elsevier, vol. 287(2), pages 572-582.
    2. Geissinger, Andrea & Laurell, Christofer & Sandström, Christian & Eriksson, Klas & Nykvist, Rasmus, 2019. "Digital entrepreneurship and field conditions for institutional change– Investigating the enabling role of cities," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 877-886.
    3. Datta, Surja & Saad, Mohammed & Sarpong, David, 2019. "National systems of innovation, innovation niches, and diversity in university systems," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 27-36.
    4. Filippetti, Andrea & Vezzani, Antonio, 2022. "The political economy of public research, or why some governments commit to research more than others," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    5. Erzurumlu, S. Sinan & Erzurumlu, Yaman O. & Yoon, YongKi, 2022. "National innovation systems and dynamic impact of institutional structures on national innovation capability: A configurational approach with the OKID method," Technovation, Elsevier, vol. 114(C).
    6. Hameeda A. AlMalki & Christopher M. Durugbo, 2023. "Systematic review of institutional innovation literature: towards a multi-level management model," Management Review Quarterly, Springer, vol. 73(2), pages 731-785, June.
    7. Ratinho, Tiago & Amezcua, Alejandro & Honig, Benson & Zeng, Zhaocheng, 2020. "Supporting entrepreneurs: A systematic review of literature and an agenda for research," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    8. Evgeny V. Balatsky & Nataly A. Ekimova, 2020. "Alternative model for managing innovation and high-tech sector of the Russian economy," Upravlenets, Ural State University of Economics, vol. 11(5), pages 2-16, November.

  8. Philip Shapira & Seokbeom Kwon & Jan Youtie, 2017. "Tracking the emergence of synthetic biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1439-1469, September.

    Cited by:

    1. Scott L. Greer & Benjamin Trump, 2019. "Regulation and regime: the comparative politics of adaptive regulation in synthetic biology," Policy Sciences, Springer;Society of Policy Sciences, vol. 52(4), pages 505-524, December.
    2. Haydar Yalcin & Tugrul Daim, 2021. "Mining research and invention activity for innovation trends: case of blockchain technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3775-3806, May.
    3. Na Liu & Philip Shapira & Xiaoxu Yue, 2021. "Tracking developments in artificial intelligence research: constructing and applying a new search strategy," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3153-3192, April.
    4. Alejandro Martínez & Juan Carlos Henao & Mario A. Pinzón Camargo, 2021. "Disrupción tecnológica, transformación digital y sociedad. Tomo I, ¿Cuarta revolución industrial? : contribuciones tecnosociales para la transformación social," Books, Universidad Externado de Colombia, Facultad de Derecho, number 1280, October.
    5. Li Tang & Jennifer Kuzma & Xi Zhang & Xinyu Song & Yin Li & Hongxu Liu & Guangyuan Hu, 2023. "Synthetic biology and governance research in China: a 40-year evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5293-5310, September.
    6. Ribeiro, Barbara & Shapira, Philip, 2020. "Private and public values of innovation: A patent analysis of synthetic biology," Research Policy, Elsevier, vol. 49(1).
    7. Bordoloi, Tausif & Shapira, Philip & Mativenga, Paul, 2022. "Policy interactions with research trajectories: The case of cyber-physical convergence in manufacturing and industrials," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    8. Leonid Gokhberg & Dirk Meissner & Ilya Kuzminov, 2023. "What semantic analysis can tell us about long term trends in the global STI policy agenda," The Journal of Technology Transfer, Springer, vol. 48(6), pages 2249-2277, December.
    9. Juliana A. Ivar do Sul & Alexander S. Tagg & Matthias Labrenz, 2018. "Exploring the common denominator between microplastics and microbiology: a scientometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2145-2157, December.
    10. Kwon, Seokbeom & Liu, Xiaoyu & Porter, Alan L. & Youtie, Jan, 2019. "Research addressing emerging technological ideas has greater scientific impact," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    11. Ribeiro, Barbara & Shapira, Philip, 2019. "Anticipating governance challenges in synthetic biology: Insights from biosynthetic menthol," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 311-320.
    12. Porter, Alan L. & Chiavetta, Denise & Newman, Nils C., 2020. "Measuring tech emergence: A contest," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    13. Li, Munan & Porter, Alan L. & Suominen, Arho & Burmaoglu, Serhat & Carley, Stephen, 2021. "An exploratory perspective to measure the emergence degree for a specific technology based on the philosophy of swarm intelligence," Technological Forecasting and Social Change, Elsevier, vol. 166(C).

  9. Seokbeom Kwon & Alan Porter & Jan Youtie, 2016. "Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents: graphene and nano-enabled drug delivery," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1057-1071, March.

    Cited by:

    1. Xu, Haiyun & Yue, Zenghui & Pang, Hongshen & Elahi, Ehsan & Li, Jing & Wang, Lu, 2022. "Integrative model for discovering linked topics in science and technology," Journal of Informetrics, Elsevier, vol. 16(2).
    2. Mun, Changbae & Yoon, Sejun & Raghavan, Nagarajan & Hwang, Dongwook & Basnet, Subarna & Park, Hyunseok, 2021. "Function score-based technological trend analysis," Technovation, Elsevier, vol. 101(C).
    3. Jong-Hyun Kim & Yong-Gil Lee, 2024. "Investigating Technological Advancement Strategies for the Innovation Impact of Alternative Energy Patents," Sustainability, MDPI, vol. 16(2), pages 1-25, January.
    4. Xu, Haiyun & Winnink, Jos & Yue, Zenghui & Liu, Ziqiang & Yuan, Guoting, 2020. "Topic-linked innovation paths in science and technology," Journal of Informetrics, Elsevier, vol. 14(2).
    5. Yutao Sun & Ying Zhang & Xiaofei Zhang, 2023. "Reconfiguring star inventors with commercialization: a case of the graphene sector," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5411-5440, October.
    6. Junwei Ma & Jianhua Wang & Philip Szmedra, 2019. "Sustainable Competitive Position of Mobile Communication Companies: Comprehensive Perspectives of Insiders and Outsiders," Sustainability, MDPI, vol. 11(7), pages 1-15, April.
    7. Xi Yang & Xiang Yu & Xin Liu, 2018. "Obtaining a Sustainable Competitive Advantage from Patent Information: A Patent Analysis of the Graphene Industry," Sustainability, MDPI, vol. 10(12), pages 1-25, December.
    8. Block, Carolin & Wustmans, Michael & Laibach, Natalie & Bröring, Stefanie, 2021. "Semantic bridging of patents and scientific publications – The case of an emerging sustainability-oriented technology," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    9. Kwon, Seokbeom & Liu, Xiaoyu & Porter, Alan L. & Youtie, Jan, 2019. "Research addressing emerging technological ideas has greater scientific impact," Research Policy, Elsevier, vol. 48(9), pages 1-1.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (1) 2015-05-30. Author is listed
  2. NEP-CSE: Economics of Strategic Management (1) 2015-05-30. Author is listed
  3. NEP-INO: Innovation (1) 2015-05-30. Author is listed
  4. NEP-SOG: Sociology of Economics (1) 2020-08-31. Author is listed

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