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Wonjoon Kim

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. Jun, Eunju & Kim, Wonjoon & Jeong, Yong Hoon & Chang, Soon-Heung, 2009. "Measuring the social value of nuclear energy using contingent valuation methodology," MPRA Paper 49668, University Library of Munich, Germany.

    Cited by:

    1. Sun, Chuanwang & Zhu, Xiting, 2014. "Evaluating the public perceptions of nuclear power in China: Evidence from a contingent valuation survey," Energy Policy, Elsevier, vol. 69(C), pages 397-405.
    2. Vladimir M. Cvetković & Adem Öcal & Yuliya Lyamzina & Eric K. Noji & Neda Nikolić & Goran Milošević, 2021. "Nuclear Power Risk Perception in Serbia: Fear of Exposure to Radiation vs. Social Benefits," Energies, MDPI, vol. 14(9), pages 1-19, April.
    3. Muza, Olivia & Debnath, Ramit, 2021. "Disruptive innovation for inclusive renewable policy in sub-Saharan Africa: A social shaping of technology analysis of appliance uptake in Rwanda," Renewable Energy, Elsevier, vol. 168(C), pages 896-912.
    4. Kostakis, I. & Sardianou, E., 2012. "Which factors affect the willingness of tourists to pay for renewable energy?," Renewable Energy, Elsevier, vol. 38(1), pages 169-172.
    5. JongRoul Woo & Jungwoo Shin & Seung-Hoon Yoo & Sung-Yoon Huh, 2023. "Reducing Environmental Impact of Coal-Fired Power Plants by Building an Indoor Coal Storage: An Economic Analysis," Energies, MDPI, vol. 16(1), pages 1-14, January.
    6. Morita, Tamaki & Managi, Shunsuke, 2015. "Consumers’ willingness to pay for electricity after the Great East Japan Earthquake," Economic Analysis and Policy, Elsevier, vol. 48(C), pages 82-105.
    7. Lee, Min-Kyu & Nam, Jungho & Kim, Miju, 2023. "Valuing the public preference for offshore wind energy: The case study in South Korea," Energy, Elsevier, vol. 263(PB).
    8. Cheng, Y.S. & Cao, K.H. & Woo, C.K. & Yatchew, A., 2017. "Residential willingness to pay for deep decarbonization of electricity supply: Contingent valuation evidence from Hong Kong," Energy Policy, Elsevier, vol. 109(C), pages 218-227.
    9. Chuanwang Sun & Nan Lyu & Xiaoling Ouyang, 2014. "Chinese Public Willingness to Pay to Avoid Having Nuclear Power Plants in the Neighborhood," Sustainability, MDPI, vol. 6(10), pages 1-27, October.
    10. Yun-Ju Chen & Sheng Ming Hsu & Shu-Yi Liao & Tsung-Chi Chen & Wei-Chun Tseng, 2019. "Natural Gas or Algal Reef: Survey-Based Valuations of Pro-Gas and Pro-Reef Groups Specifically for Policy Advising," Energies, MDPI, vol. 12(24), pages 1-18, December.
    11. Contu, Davide & Strazzera, Elisabetta, 2022. "Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy," Journal of choice modelling, Elsevier, vol. 44(C).
    12. Motz, Alessandra, 2021. "Consumer acceptance of the energy transition in Switzerland: The role of attitudes explained through a hybrid discrete choice model," Energy Policy, Elsevier, vol. 151(C).
    13. Lin, Boqiang & Tan, Ruipeng, 2017. "Estimation of the environmental values of electric vehicles in Chinese cities," Energy Policy, Elsevier, vol. 104(C), pages 221-229.
    14. Sung-Yoon Huh & JongRoul Woo & Chul-Yong Lee, 2019. "What Do Potential Residents Really Want When Hosting a Nuclear Power Plant? An Empirical Study of Economic Incentives in South Korea," Energies, MDPI, vol. 12(7), pages 1-17, March.
    15. Joséphine Süptitz & Christian Schlereth, 2017. "Fracking: Messung der gesellschaftlichen Akzeptanz und der Wirkung akzeptanzsteigernder Maßnahmen [Fracking: Measuring Social Acceptance and the Effect of Acceptance Increasing Measures]," Schmalenbach Journal of Business Research, Springer, vol. 69(4), pages 405-439, November.
    16. Contu, Davide & Strazzera, Elisabetta & Mourato, Susana, 2016. "Modeling individual preferences for energy sources: The case of IV generation nuclear energy in Italy," Ecological Economics, Elsevier, vol. 127(C), pages 37-58.
    17. Soon, Jan-Jan & Ahmad, Siti-Aznor, 2015. "Willingly or grudgingly? A meta-analysis on the willingness-to-pay for renewable energy use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 877-887.
    18. Liao, Shu-Yi & Tseng, Wei-Chun & Chen, Chi-Chung, 2010. "Eliciting public preference for nuclear energy against the backdrop of global warming," Energy Policy, Elsevier, vol. 38(11), pages 7054-7069, November.
    19. Kwok, Tin Fai & Yeung, Chung Hang & Xu, Yuan, 2017. "Swaying public opinion on nuclear energy: A field experiment in Hong Kong," Utilities Policy, Elsevier, vol. 46(C), pages 48-57.
    20. JongRoul Woo & Sesil Lim & Yong-Gil Lee & Sung-Yoon Huh, 2018. "Financial Feasibility and Social Acceptance for Reducing Nuclear Power Plants: A Contingent Valuation Study," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    21. Roh, Seungkook & Kim, Wonjoon, 2014. "How can Korea secure uranium enrichment and spent fuel reprocessing rights?," Energy Policy, Elsevier, vol. 68(C), pages 195-198.
    22. Kim, Younghwan & Kim, Minki & Kim, Wonjoon, 2013. "Effect of the Fukushima nuclear disaster on global public acceptance of nuclear energy," Energy Policy, Elsevier, vol. 61(C), pages 822-828.
    23. Sun, Chuanwang & Zhu, Xiting & Meng, Xiaochun, 2016. "Post-Fukushima public acceptance on resuming the nuclear power program in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 685-694.
    24. Kim, Younghwan & Kim, Wonjoon & Kim, Minki, 2014. "An international comparative analysis of public acceptance of nuclear energy," Energy Policy, Elsevier, vol. 66(C), pages 475-483.
    25. AlFarra, Hasan Jamil & Abu-Hijleh, Bassam, 2012. "The potential role of nuclear energy in mitigating CO2 emissions in the United Arab Emirates," Energy Policy, Elsevier, vol. 42(C), pages 272-285.
    26. Wang, Shanyong & Wang, Jing & Lin, Shoufu & Li, Jun, 2020. "How and when does information publicity affect public acceptance of nuclear energy?," Energy, Elsevier, vol. 198(C).

Articles

  1. Kwak, Kiho & Kim, Wonjoon & Park, Kyungbae, 2018. "Complementary multiplatforms in the growing innovation ecosystem: Evidence from 3D printing technology," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 192-207.

    Cited by:

    1. Xin Cao & Taohua Ouyang & Puzant Balozian & Sixuan Zhang, 2020. "The Role of Managerial Cognitive Capability in Developing a Sustainable Innovation Ecosystem: A Case Study of Xiaomi," Sustainability, MDPI, vol. 12(17), pages 1-27, September.
    2. Ghazinoory, Sepehr & Sarkissian, Alfred & Farhanchi, Mojtaba & Saghafi, Fatemeh, 2020. "Renewing a dysfunctional innovation ecosystem: The case of the Lalejin ceramics and pottery," Technovation, Elsevier, vol. 96.
    3. Dhir, Amandeep & Talwar, Shalini & Islam, Nazrul & Alghafes, Rasha & Badghish, Saeed, 2023. "Different strokes for different folks: Comparative analysis of 3D printing in large, medium and small firms," Technovation, Elsevier, vol. 125(C).
    4. Cobben, Dieudonnee & Ooms, Ward & Roijakkers, Nadine & Radziwon, Agnieszka, 2022. "Ecosystem types: A systematic review on boundaries and goals," Journal of Business Research, Elsevier, vol. 142(C), pages 138-164.
    5. Rey-Moreno, Manuel & Medina-Molina, Cayetano, 2020. "Dual models and technological platforms for efficient management of water consumption," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    6. Zhang, Marina Yue & Williamson, Peter, 2021. "The emergence of multiplatform ecosystems: insights from China's mobile payments system in overcoming bottlenecks to reach the mass market," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    7. Yanzhang Gu & Longying Hu & Hongjin Zhang & Chenxuan Hou, 2021. "Innovation Ecosystem Research: Emerging Trends and Future Research," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
    8. Berns, John P. & Jia, Yankun & Gondo, Maria, 2022. "Crowdfunding success in sustainability-oriented projects: An exploratory examination of the crowdfunding of 3D printers," Technology in Society, Elsevier, vol. 71(C).
    9. Han, Jin & Zhou, Haibo & Löwik, Sandor & de Weerd-Nederhof, Petra, 2022. "Building and sustaining emerging ecosystems through new focal ventures: Evidence from China's bike-sharing industry," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    10. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    11. Li, Chia-Ying & Fang, Yu-Hui, 2020. "I searched, I collected, I experienced: Exploring how mobile augmented reality makes the players go," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    12. Maximilian Julius Krome & Ulrich Pidun, 2023. "Conceptualization of research themes and directions in business ecosystem strategies: a systematic literature review," Management Review Quarterly, Springer, vol. 73(2), pages 873-920, June.
    13. Yan Li & Yi Shi, 2022. "Dynamic Game Analysis of Enterprise Green Technology Innovation Ecosystem under Double Environmental Regulation," IJERPH, MDPI, vol. 19(17), pages 1-33, September.
    14. Jianlong Wu & Zhongji Yang & Xiaobo Hu & Hongqi Wang & Jing Huang, 2018. "Exploring Driving Forces of Sustainable Development of China’s New Energy Vehicle Industry: An Analysis from the Perspective of an Innovation Ecosystem," Sustainability, MDPI, vol. 10(12), pages 1-24, December.
    15. Harm-Jan Steenhuis & Xin Fang & Tolga Ulusemre, 2020. "Global Diffusion of Innovation during the Fourth Industrial Revolution: The Case of Additive Manufacturing or 3D Printing," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-34, February.
    16. Cobben, Dieudonnee & Ooms, Ward & Roijakkers, Nadine, 2023. "Indicators for innovation ecosystem health: A Delphi study," Journal of Business Research, Elsevier, vol. 162(C).
    17. Jing Huang & Hongqi Wang & Jianlong Wu & Zhongji Yang & Xiaobo Hu & Mengmeng Bao, 2020. "Exploring the Key Driving Forces of the Sustainable Intergenerational Evolution of the Industrial Alliance Innovation Ecosystem: Evidence from a Case Study of China’s TDIA," Sustainability, MDPI, vol. 12(4), pages 1-31, February.
    18. Mosterd, Lars & Sobota, Vladimir C.M. & van de Kaa, Geerten & Ding, Aaron Yi & de Reuver, Mark, 2021. "Context dependent trade-offs around platform-to-platform openness: The case of the Internet of Things," Technovation, Elsevier, vol. 108(C).
    19. Okpalaoka, Chijindu Iheanacho, 2023. "Research on the digital economy: Developing trends and future directions," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    20. Rayna, Thierry & Striukova, Ludmila, 2021. "Assessing the effect of 3D printing technologies on entrepreneurship: An exploratory study," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    21. Lijie Feng & Jiarui Lu & Jinfeng Wang, 2021. "A Systematic Review of Enterprise Innovation Ecosystems," Sustainability, MDPI, vol. 13(10), pages 1-26, May.
    22. Sebastian Spaeth & Sven Niederhöfer, 2022. "Compatibility promotion between platforms: The role of open technology standards and giant platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 1891-1915, December.
    23. Marcon, Arthur & Ribeiro, Jose Luis Duarte, 2021. "How do startups manage external resources in innovation ecosystems? A resource perspective of startups’ lifecycle," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    24. Friedrich, Anne & Lange, Anne & Elbert, Ralf, 2022. "How additive manufacturing drives business model change: The perspective of logistics service providers," International Journal of Production Economics, Elsevier, vol. 249(C).

  2. Kwak, Kiho & Kim, Wonjoon & Kim, Karpsoo, 2018. "Latecomer firms' combination of strategies in a specialized suppliers sector: A comparative case study of the Korean plastic injection molding machine industry," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 190-205.

    Cited by:

    1. Zhang, Gupeng & Wang, Xiao & Duan, Hongbo & Zheng, Leven J., 2021. "How do new entrants’ pre-entry technological backgrounds impact their cross-industry innovation performances? A retrospective study of the mobile phone vendors," Technovation, Elsevier, vol. 100(C).
    2. Kwak, Kiho & Kim, Namil, 2022. "Industrial Leadership Changes without Technological Discontinuity: Modularization, Institution-Led Market Discontinuity, and Market Development Strategy," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    3. Yu, Jiang & Liu, Rui & Chen, Feng, 2020. "Linking institutional environment with technological change: The rise of China's flat panel display industry," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    4. Kwak, Kiho & Kim, Namil, 2020. "Concentrate or disperse? The relationship between major customer concentration and supplier profitability and the moderating role of insider ownership," Journal of Business Research, Elsevier, vol. 109(C), pages 648-658.

  3. Jaewon Yoo & Hyunsik Park & Wonjoon Kim, 2018. "Compromise effect and consideration set size in consumer decision-making," Applied Economics Letters, Taylor & Francis Journals, vol. 25(8), pages 513-517, May.

    Cited by:

    1. abhinash Borah & Raghvi Garg, 2020. "Torn between want and should: Self regulation and behavioral choices," Working Papers 29, Ashoka University, Department of Economics.

  4. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.

    Cited by:

    1. Tengfei Wang & Henrik Halkier & Laura James & Renxu Gu & Cheng Chi, 2022. "External Knowledge Linkages and the Evolution of Comparative Advantage: An Examination of Territorial Knowledge Dynamics in China," Sustainability, MDPI, vol. 14(8), pages 1-14, April.
    2. Jiang, Syuan-Yi, 2022. "Transition and innovation ecosystem – investigating technologies, focal actors, and institution in eHealth innovations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Zhenfu Li & Yixuan Wang & Zhao Deng, 2022. "Research on Evolution Characteristics and Factors of Nordic Green Patent Citation Network," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    4. Jingbei Wang & Naiding Yang, 2019. "Dynamics of collaboration network community and exploratory innovation: the moderation of knowledge networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1067-1084, November.
    5. Kwak, Kiho & Kim, Wonjoon & Park, Kyungbae, 2018. "Complementary multiplatforms in the growing innovation ecosystem: Evidence from 3D printing technology," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 192-207.
    6. Guannan Xu & Weijie Hu & Yuanyuan Qiao & Yuan Zhou, 2020. "Mapping an innovation ecosystem using network clustering and community identification: a multi-layered framework," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2057-2081, September.

  5. Hyeokseong Lee & Namil Kim & Kiho Kwak & Wonjoon Kim & Hyungjoon Soh & Kyungbae Park, 2016. "Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data," Sustainability, MDPI, vol. 8(10), pages 1-18, October.

    Cited by:

    1. Kwangsoo Kim & Fan Li & Jae Wook Yoo & Choo Yeon Kim, 2020. "The Relationships among Environments, External Knowledge Acquisition, and Innovation," Sustainability, MDPI, vol. 12(14), pages 1-23, July.
    2. Sick, Nathalie & Preschitschek, Nina & Leker, Jens & Bröring, Stefanie, 2019. "A new framework to assess industry convergence in high technology environments," Technovation, Elsevier, vol. 84, pages 48-58.
    3. JinHyo Joseph Yun & Tan Yigitcanlar, 2017. "Open Innovation in Value Chain for Sustainability of Firms," Sustainability, MDPI, vol. 9(5), pages 1-8, May.
    4. Yanhong Liu & Xinjian Huang & Weiliang Chen, 2019. "Threshold Effect of High-Tech Industrial Scale on Green Development—Evidence from Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(5), pages 1-21, March.
    5. Choo Yeon Kim & Myung Sub Lim & Jae Wook Yoo, 2019. "Ambidexterity in External Knowledge Search Strategies and Innovation Performance: Mediating Role of Balanced Innovation and Moderating Role of Absorptive Capacity," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    6. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.

  6. Kim, Wonjoon, 2015. "The current transition in management of technology education: The case of Korea," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 5-20.

    Cited by:

    1. Yazdani, Morteza & Pamucar, Dragan & Erdmann, Anett & Toro-Dupouy, Luis, 2023. "Resilient sustainable investment in digital education technology: A stakeholder-centric decision support model under uncertainty," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    2. Qian Ma & Weiwei Wu & Yexin Liu, 2021. "The Fit between Technology Management and Technological Capability and Its Impact on New Product Development Performance," Sustainability, MDPI, vol. 13(19), pages 1-12, October.
    3. Hyeokseong Lee & Namil Kim & Kiho Kwak & Wonjoon Kim & Hyungjoon Soh & Kyungbae Park, 2016. "Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data," Sustainability, MDPI, vol. 8(10), pages 1-18, October.

  7. Kim, Wonjoon & Kim, Minki, 2015. "Reference quality-based competitive market structure for innovation driven markets," International Journal of Research in Marketing, Elsevier, vol. 32(3), pages 284-296.

    Cited by:

    1. Park, Chang Hee & Yoon, Tae Jung, 2022. "The dark side of up-selling promotions: Evidence from an analysis of cross-brand purchase behavior☆," Journal of Retailing, Elsevier, vol. 98(4), pages 647-666.
    2. Weijuan Li & Pengcheng Zhang, 2021. "Investigating the transformation efficiency of scientific and technological achievements in China’s equipment manufacturing industry under the low-carbon economy [Environment policy and technologic," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(1), pages 135-145.
    3. Sivakumar, K. & Feng, Cong, 2019. "Patterns of product improvements and customer response," Journal of Business Research, Elsevier, vol. 104(C), pages 27-43.
    4. Régis Chenavaz, 2017. "Dynamic quality policies with reference quality effects," Post-Print hal-01685879, HAL.
    5. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.
    6. Zhaofu Hong & Hao Wang & Yeming Gong, 2019. "Green product design considering functional-product reference," Post-Print hal-02312293, HAL.
    7. Hong, Zhaofu & Wang, Hao & Yu, Yugang, 2018. "Green product pricing with non-green product reference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 1-15.
    8. Genlong Guo & Shoude Li, 2023. "A dynamic analysis of a monopolist's efforts for improving product quality and process innovation with reference price effects under linear demand," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2328-2345, June.
    9. Kwak, Kiho & Kim, Wonjoon & Park, Kyungbae, 2018. "Complementary multiplatforms in the growing innovation ecosystem: Evidence from 3D printing technology," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 192-207.
    10. Hyeokseong Lee & Namil Kim & Kiho Kwak & Wonjoon Kim & Hyungjoon Soh & Kyungbae Park, 2016. "Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data," Sustainability, MDPI, vol. 8(10), pages 1-18, October.
    11. Hong, Zhaofu & Wang, Hao & Gong, Yeming, 2019. "Green product design considering functional-product reference," International Journal of Production Economics, Elsevier, vol. 210(C), pages 155-168.

  8. Kiho Kwak & Wonjoon Kim, 2015. "Productivity growth of newly industrializing economies in heterogeneous capital goods markets: the case of the Korean machinery and equipment industry," Applied Economics, Taylor & Francis Journals, vol. 47(7), pages 654-668, February.

    Cited by:

    1. E.D. Kormishkin & O.S. Sausheva & V.A. Gorin & E.S. Zemskova, 2016. "Innovation and Investment Safety as the Condition for Neo-Industrial Development," European Research Studies Journal, European Research Studies Journal, vol. 0(3A), pages 94-109.

  9. Kim, Namil & Lee, Hyeokseong & Kim, Wonjoon & Lee, Hyunjong & Suh, Jong Hwan, 2015. "Dynamic patterns of industry convergence: Evidence from a large amount of unstructured data," Research Policy, Elsevier, vol. 44(9), pages 1734-1748.

    Cited by:

    1. Keongtae Kim & Anandasivam Gopal & Gerard Hoberg, 2016. "Does Product Market Competition Drive CVC Investment? Evidence from the U.S. IT Industry," Information Systems Research, INFORMS, vol. 27(2), pages 259-281, June.
    2. Chen, I-Ju & Hsu, Po-Hsuan & Officer, Micah S. & Wang, Yanzhi, 2020. "The Oscar goes to…: High-tech firms’ acquisitions in response to rivals’ technology breakthroughs," Research Policy, Elsevier, vol. 49(7).
    3. Jungpyo Lee & So Young Sohn, 2021. "Recommendation system for technology convergence opportunities based on self-supervised representation learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 1-25, January.
    4. Sasaki, Hajime & Sakata, Ichiro, 2021. "Identifying potential technological spin-offs using hierarchical information in international patent classification," Technovation, Elsevier, vol. 100(C).
    5. Dejing Kong & Jianzhong Yang & Lingfeng Li, 2020. "Early identification of technological convergence in numerical control machine tool: a deep learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1983-2009, December.
    6. Jinho Choi & Nina Shin & Hee Soo Lee, 2020. "Exploring the Dynamics between M&A Activities and Industry-Level Performance," Sustainability, MDPI, vol. 12(11), pages 1-24, May.
    7. Geum, Youngjung & Kim, Moon-Soo & Lee, Sungjoo, 2016. "How industrial convergence happens: A taxonomical approach based on empirical evidences," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 112-120.
    8. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    9. Changyong Lee & Suckwon Hong & Juram Kim, 2021. "Anticipating multi-technology convergence: a machine learning approach using patent information," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 1867-1896, March.
    10. HaeOk Choi & KwangHo Lee, 2020. "Micro-Operating Mechanism Approach for Regulatory Sandbox Policy Focused on Fintech," Sustainability, MDPI, vol. 12(19), pages 1-11, October.
    11. Maurizio Massaro & Silvana Secinaro & Francesca Dal Mas & Valerio Brescia & Davide Calandra, 2021. "Industry 4.0 and circular economy: An exploratory analysis of academic and practitioners' perspectives," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1213-1231, February.
    12. Shi, Xianwei & Liang, Xingkun & Luo, Yining, 2023. "Unpacking the intellectual structure of ecosystem research in innovation studies," Research Policy, Elsevier, vol. 52(6).
    13. Sick, Nathalie & Preschitschek, Nina & Leker, Jens & Bröring, Stefanie, 2019. "A new framework to assess industry convergence in high technology environments," Technovation, Elsevier, vol. 84, pages 48-58.
    14. Xiaowei Chen & Tianyu Zhang & Fu Jia, 2020. "Industry convergence as a strategy for achieving sustainable development of agricultural complex: The case of Sandun‐Lanli in China," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2679-2694, September.
    15. Ohsung Kwon, 2020. "A study on how startups approach sustainable development through intellectual property," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 613-625, July.
    16. Roger Moser & Srinath Rengarajan & Gopalakrishnan Narayanamurthy, 2021. "Decision Intelligence: Creating a Fit between Intelligence Requirements and Intelligence Processing Capacities," IIM Kozhikode Society & Management Review, , vol. 10(2), pages 160-177, July.
    17. Lee, Changyong, 2021. "A review of data analytics in technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    18. Sick, Nathalie & Bröring, Stefanie, 2022. "Exploring the research landscape of convergence from a TIM perspective: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    19. Zhou, Yuan & Dong, Fang & Kong, Dejing & Liu, Yufei, 2019. "Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 205-220.
    20. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.
    21. Rengarajan, Srinath & Moser, Roger & Narayanamurthy, Gopalakrishnan, 2021. "Strategy tools in dynamic environments – An expert-panel study," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    22. Jinho Choi & Nina Shin & Yong Sik Chang, 2021. "Strategic Investment Decisions for Emerging Technology Fields in the Health Care Sector Based on M&A Analysis," Sustainability, MDPI, vol. 13(7), pages 1-20, March.
    23. Pan, Maomao & Bai, Min & Ren, Xiaoxiao, 2022. "Does internet convergence improve manufacturing enterprises’ competitive advantage? Empirical research based on the mediation effect model," Technology in Society, Elsevier, vol. 69(C).
    24. Weiliang Chen & Xinjian Huang & Yanhong Liu & Yan Song, 2019. "Does Industry Integration Improve the Competitiveness of China’s Electronic Information Industry?—Evidence from the Integration of the Electronic Information Industry and Financial Industry," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    25. Langley, David J. & van Doorn, Jenny & Ng, Irene C.L. & Stieglitz, Stefan & Lazovik, Alexander & Boonstra, Albert, 2021. "The Internet of Everything: Smart things and their impact on business models," Journal of Business Research, Elsevier, vol. 122(C), pages 853-863.
    26. Kose, Toshihiro & Sakata, Ichiro, 2019. "Identifying technology convergence in the field of robotics research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 751-766.
    27. Kanger, Laur & Bone, Frédérique & Rotolo, Daniele & Steinmueller, W. Edward & Schot, Johan, 2022. "Deep transitions: A mixed methods study of the historical evolution of mass production," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    28. Heo, Pil Sun & Lee, Duk Hee, 2019. "Evolution patterns and network structural characteristics of industry convergence," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 405-426.
    29. Bohnsack, René & Kurtz, Hannes & Hanelt, André, 2021. "Re-examining path dependence in the digital age: The evolution of connected car business models," Research Policy, Elsevier, vol. 50(9).
    30. Chunbo Zhou & Marios Sotiriadis, 2021. "Exploring and Evaluating the Impact of ICTs on Culture and Tourism Industries’ Convergence: Evidence from China," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    31. Kim, Juram & Kim, Seungho & Lee, Changyong, 2019. "Anticipating technological convergence: Link prediction using Wikipedia hyperlinks," Technovation, Elsevier, vol. 79(C), pages 25-34.
    32. Sajad Ashouri & Anne-Laure Mention & Kosmas X. Smyrnios, 2021. "Anticipation and analysis of industry convergence using patent-level indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5727-5758, July.
    33. Walrave, Bob & Gilsing, Victor A., 2023. "Game of skill or game of luck? Distant search in response to performance feedback," Technovation, Elsevier, vol. 121(C).
    34. Yanyan Liu & Ying Cheng & Wei Liu, 2018. "Understanding Gatekeeping Transformation in the Chinese EV Industry: An Exploratory Study of the Focal Firms' Cross-industrial Interactions," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 16(3-B), pages 485-503.
    35. Zhentao Li & Hongping Yan & Xiuxin Liu, 2023. "Evaluation of China’s Rural Industrial Integration Development Level, Regional Differences, and Development Direction," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    36. Kwak, Kiho & Kim, Wonjoon & Park, Kyungbae, 2018. "Complementary multiplatforms in the growing innovation ecosystem: Evidence from 3D printing technology," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 192-207.
    37. Paolo Calvosa, 2021. "Entry, Exit and Innovation over the Industry Life Cycle in Converging Sectors: An Analysis of the Smartphone Industry," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(12), pages 151-151, July.
    38. Jee, Su Jung & Kwon, Minji & Ha, Jung Moon & Sohn, So Young, 2019. "Exploring the forward citation patterns of patents based on the evolution of technology fields," Journal of Informetrics, Elsevier, vol. 13(4).
    39. Jianjia He & Yue Wang, 2023. "Patent-Based Analysis of China’s Emergency Logistics Industry Convergence," Sustainability, MDPI, vol. 15(5), pages 1-13, March.
    40. Ying Tang & Xuming Lou & Zifeng Chen & Chengjin Zhang, 2020. "A Study on Dynamic Patterns of Technology Convergence with IPC Co-Occurrence-Based Analysis: The Case of 3D Printing," Sustainability, MDPI, vol. 12(7), pages 1-26, March.
    41. Hyeokseong Lee & Namil Kim & Kiho Kwak & Wonjoon Kim & Hyungjoon Soh & Kyungbae Park, 2016. "Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data," Sustainability, MDPI, vol. 8(10), pages 1-18, October.
    42. Aaldering, Lukas Jan & Leker, Jens & Song, Chie Hoon, 2019. "Uncovering the dynamics of market convergence through M&A," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 95-114.
    43. Jianjia He & Danyuan Wang, 2023. "Impact of Economic Policy Uncertainty on Industrial Convergence: Evidence from China," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
    44. Dal Mas, F. & Massaro, M. & Ndou, V. & Raguseo, E., 2023. "Blockchain technologies for sustainability in the agrifood sector: A literature review of academic research and business perspectives," Technological Forecasting and Social Change, Elsevier, vol. 187(C).

  10. Joonhyuk Yang & Wonjoon Kim, 2014. "Seasonality in the Non-U.S. Motion Picture Industry: A Case of South Korea," Journal of Media Economics, Taylor & Francis Journals, vol. 27(1), pages 38-55, March.

    Cited by:

    1. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.

  11. Euiseok Kim & Yongrae Cho & Wonjoon Kim, 2014. "Dynamic patterns of technological convergence in printed electronics technologies: patent citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 975-998, February.

    Cited by:

    1. Park, Mingyu & Geum, Youngjung, 2022. "Two-stage technology opportunity discovery for firm-level decision making: GCN-based link-prediction approach," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    2. Juite Wang & Tzu-Yen Hsu, 2023. "Early discovery of emerging multi-technology convergence for analyzing technology opportunities from patent data: the case of smart health," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4167-4196, August.
    3. Hong Wu & Huifang Yi & Chang Li, 2021. "An integrated approach for detecting and quantifying the topic evolutions of patent technology: a case study on graphene field," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6301-6321, August.
    4. Dejing Kong & Jianzhong Yang & Lingfeng Li, 2020. "Early identification of technological convergence in numerical control machine tool: a deep learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1983-2009, December.
    5. Joon Hyung Cho & Jungpyo Lee & So Young Sohn, 2021. "Predicting future technological convergence patterns based on machine learning using link prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5413-5429, July.
    6. Changyong Lee & Suckwon Hong & Juram Kim, 2021. "Anticipating multi-technology convergence: a machine learning approach using patent information," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 1867-1896, March.
    7. ZHU Chen & MOTOHASHI Kazuyuki, 2022. "Government R&D spending as a driving force of technology convergence," Discussion papers 22030, Research Institute of Economy, Trade and Industry (RIETI).
    8. Huang, Ying & Li, Ruinan & Zou, Fang & Jiang, Lidan & Porter, Alan L. & Zhang, Lin, 2022. "Technology life cycle analysis: From the dynamic perspective of patent citation networks," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    9. Jeeeun Kim & Sungjoo Lee, 2017. "Forecasting and identifying multi-technology convergence based on patent data: the case of IT and BT industries in 2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 47-65, April.
    10. Yoonki Rhee & Sejun Yoon & Hyunseok Park, 2022. "Exploring Knowledge Trajectories of Accounting Information Systems Using Business Method Patents and Knowledge Persistence-Based Main Path Analysis," Mathematics, MDPI, vol. 10(18), pages 1-22, September.
    11. Kim, Namil & Lee, Hyeokseong & Kim, Wonjoon & Lee, Hyunjong & Suh, Jong Hwan, 2015. "Dynamic patterns of industry convergence: Evidence from a large amount of unstructured data," Research Policy, Elsevier, vol. 44(9), pages 1734-1748.
    12. Zhou, Yuan & Dong, Fang & Kong, Dejing & Liu, Yufei, 2019. "Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 205-220.
    13. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.
    14. Kuan, Chung-Huei & Lin, Jia-Tian & Chen, Dar-Zen, 2021. "Characterizing Patent Assignees by Their Structural Positions Relative to a Field’s Evolutionary Trajectory," Journal of Informetrics, Elsevier, vol. 15(4).
    15. Wooseok Jang & Yongtae Park & Hyeonju Seol, 2021. "Identifying emerging technologies using expert opinions on the future: A topic modeling and fuzzy clustering approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6505-6532, August.
    16. Sung-Seok Ko & Namuk Ko & Doyeon Kim & Hyunseok Park & Janghyeok Yoon, 2014. "Analyzing technology impact networks for R&D planning using patents: combined application of network approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 917-936, October.
    17. Andrew Rodriguez & Byunghoon Kim & Mehmet Turkoz & Jae-Min Lee & Byoung-Youl Coh & Myong K. Jeong, 2015. "New multi-stage similarity measure for calculation of pairwise patent similarity in a patent citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 565-581, May.
    18. Kose, Toshihiro & Sakata, Ichiro, 2019. "Identifying technology convergence in the field of robotics research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 751-766.
    19. Guan, Jiancheng & Liu, Na, 2015. "Invention profiles and uneven growth in the field of emerging nano-energy," Energy Policy, Elsevier, vol. 76(C), pages 146-157.
    20. Hanlin You & Mengjun Li & Keith W. Hipel & Jiang Jiang & Bingfeng Ge & Hante Duan, 2017. "Development trend forecasting for coherent light generator technology based on patent citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 297-315, April.
    21. Kim, Juram & Kim, Seungho & Lee, Changyong, 2019. "Anticipating technological convergence: Link prediction using Wikipedia hyperlinks," Technovation, Elsevier, vol. 79(C), pages 25-34.
    22. Zhu, Chen & Motohashi, Kazuyuki, 2022. "Identifying the technology convergence using patent text information: A graph convolutional networks (GCN)-based approach," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    23. Patrick Wolf & Tobias Buchmann, 2021. "Analyzing development patterns in research networks and technology," Review of Evolutionary Political Economy, Springer, vol. 2(1), pages 55-81, April.
    24. Sajad Ashouri & Anne-Laure Mention & Kosmas X. Smyrnios, 2021. "Anticipation and analysis of industry convergence using patent-level indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5727-5758, July.
    25. Qian Xu & Yabin Yu & Xiao Yu, 2022. "Analysis of the Technological Convergence in Smart Textiles," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
    26. Jakob Hoffmann & Johannes Glückler, 2023. "Technological Cohesion and Convergence: A Main Path Analysis of the Bioeconomy, 1900–2020," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    27. Ren, Haiying & Zhao, Yuhui, 2021. "Technology opportunity discovery based on constructing, evaluating, and searching knowledge networks," Technovation, Elsevier, vol. 101(C).
    28. Chul Lee & Gunno Park & Jina Kang, 2018. "The impact of convergence between science and technology on innovation," The Journal of Technology Transfer, Springer, vol. 43(2), pages 522-544, April.
    29. Chenlei Guan & Damin Dong & Feng Shen & Xin Gao & Linyan Chen, 2022. "Hierarchical Structure Model of Safety Risk Factors in New Coastal Towns: A Systematic Analysis Using the DEMATEL-ISM-SNA Method," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    30. Ying Tang & Xuming Lou & Zifeng Chen & Chengjin Zhang, 2020. "A Study on Dynamic Patterns of Technology Convergence with IPC Co-Occurrence-Based Analysis: The Case of 3D Printing," Sustainability, MDPI, vol. 12(7), pages 1-26, March.
    31. Lee, Won Sang & Han, Eun Jin & Sohn, So Young, 2015. "Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 317-329.
    32. Hyeokseong Lee & Namil Kim & Kiho Kwak & Wonjoon Kim & Hyungjoon Soh & Kyungbae Park, 2016. "Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data," Sustainability, MDPI, vol. 8(10), pages 1-18, October.
    33. Caviggioli, Federico, 2016. "Technology fusion: Identification and analysis of the drivers of technology convergence using patent data," Technovation, Elsevier, vol. 55, pages 22-32.
    34. Soyea Lee & Junseok Hwang & Eunsang Cho, 2022. "Comparing technology convergence of artificial intelligence on the industrial sectors: two-way approaches on network analysis and clustering analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 407-452, January.
    35. Chen Zhu & Kazuyuki Motohashi, 2023. "Government R&D spending as a driving force of technology convergence: a case study of the Advanced Sequencing Technology Program," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3035-3065, May.
    36. Zhao, Shengchao & Zeng, Deming & Li, Jian & Feng, Ke & Wang, Yao, 2023. "Quantity or quality: The roles of technology and science convergence on firm innovation performance," Technovation, Elsevier, vol. 126(C).
    37. Jiaojiao Ji & George A. Barnett & Jianxun Chu, 2019. "Global networks of genetically modified crops technology: a patent citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 737-762, March.
    38. Kim, Yong Jin & Lee, Duk Hee, 2020. "Technology convergence networks for flexible display application: A comparative analysis of latecomers and leaders," Japan and the World Economy, Elsevier, vol. 55(C).

  12. Yongrae Cho & Wonjoon Kim, 2014. "Technology–industry networks in technology commercialization: evidence from Korean university patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1785-1810, March.

    Cited by:

    1. Kim, Wonjoon, 2015. "The current transition in management of technology education: The case of Korea," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 5-20.
    2. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.
    3. Kalantaridis, Christos & Küttim, Merle, 2023. "Multi-dimensional time and university technology commercialisation as opportunity praxis: A realist synthesis of the accumulated literature," Technovation, Elsevier, vol. 122(C).

  13. Kim, Younghwan & Kim, Wonjoon & Kim, Minki, 2014. "An international comparative analysis of public acceptance of nuclear energy," Energy Policy, Elsevier, vol. 66(C), pages 475-483.

    Cited by:

    1. Lee, Juyong & Reiner, David M., 2023. "Determinants of public preferences on low-carbon energy sources: Evidence from the United Kingdom," Energy, Elsevier, vol. 284(C).
    2. Managi, Shunsuke & Guan, Dabo, 2017. "Multiple disasters management: Lessons from the Fukushima triple events," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 114-122.
    3. Ho, Shirley S. & Xiong, Rui & Chuah, Agnes S.F., 2021. "Heuristic cues as perceptual filters: Factors influencing public support for nuclear research reactor in Singapore," Energy Policy, Elsevier, vol. 150(C).
    4. Seungkook Roh & Hae-Gyung Geong, 2021. "Extending the Coverage of the Trust–Acceptability Model: The Negative Effect of Trust in Government on Nuclear Power Acceptance in South Korea under a Nuclear Phase-Out Policy," Energies, MDPI, vol. 14(11), pages 1-19, June.
    5. Jaesun Wang & Seoyong Kim, 2018. "Comparative Analysis of Public Attitudes toward Nuclear Power Energy across 27 European Countries by Applying the Multilevel Model," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    6. Wang, Jing & Li, Yazhou & Wu, Jianlin & Gu, Jibao & Xu, Shuo, 2020. "Environmental beliefs and public acceptance of nuclear energy in China: A moderated mediation analysis," Energy Policy, Elsevier, vol. 137(C).
    7. Florentina Paraschiv & Dima Mohamad, 2020. "The Nuclear Power Dilemma—Between Perception and Reality," Energies, MDPI, vol. 13(22), pages 1-19, November.
    8. Guanghui Hou & Tong Chen & Ke Ma & Zhiming Liao & Hongmei Xia & Tianzeng Yao, 2019. "Improving Social Acceptance of Waste-to-Energy Incinerators in China: Role of Place Attachment, Trust, and Fairness," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
    9. Nuortimo, Kalle & Härkönen, Janne, 2018. "Opinion mining approach to study media-image of energy production. Implications to public acceptance and market deployment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 210-217.
    10. Bohdanowicz, Zbigniew & Łopaciuk-Gonczaryk, Beata & Gajda, Paweł & Rajewski, Adam, 2023. "Support for nuclear power and proenvironmental attitudes: The cases of Germany and Poland," Energy Policy, Elsevier, vol. 177(C).
    11. Johane Dikgang & Nomsa P. Nkosi, 2018. "Pricing electricty blackout among South African households," Working Papers 727, Economic Research Southern Africa.
    12. Nomsa Phindile Nkosi & Johane Dikgang, 2021. "South African Attitudes About Nuclear Power: The Case of the Nuclear Energy Expansion," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 138-146.
    13. Chuanwang Sun & Nan Lyu & Xiaoling Ouyang, 2014. "Chinese Public Willingness to Pay to Avoid Having Nuclear Power Plants in the Neighborhood," Sustainability, MDPI, vol. 6(10), pages 1-27, October.
    14. Ming, Zeng & Yingxin, Liu & Shaojie, Ouyang & Hui, Shi & Chunxue, Li, 2016. "Nuclear energy in the Post-Fukushima Era: Research on the developments of the Chinese and worldwide nuclear power industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 147-156.
    15. Tobias Junne & Karl-Kiên Cao & Kim Kira Miskiw & Heidi Hottenroth & Tobias Naegler, 2021. "Considering Life Cycle Greenhouse Gas Emissions in Power System Expansion Planning for Europe and North Africa Using Multi-Objective Optimization," Energies, MDPI, vol. 14(5), pages 1-26, February.
    16. Ho, Shirley S. & Oshita, Tsuyoshi & Looi, Jiemin & Leong, Alisius D. & Chuah, Agnes S.F., 2019. "Exploring public perceptions of benefits and risks, trust, and acceptance of nuclear energy in Thailand and Vietnam: A qualitative approach," Energy Policy, Elsevier, vol. 127(C), pages 259-268.
    17. Kim, Philseo & Kim, Jihee & Yim, Man-Sung, 2020. "How deliberation changes public opinions on nuclear energy: South Korea's deliberation on closing nuclear reactors," Applied Energy, Elsevier, vol. 270(C).
    18. Sung-Yoon Huh & JongRoul Woo & Chul-Yong Lee, 2019. "What Do Potential Residents Really Want When Hosting a Nuclear Power Plant? An Empirical Study of Economic Incentives in South Korea," Energies, MDPI, vol. 12(7), pages 1-17, March.
    19. Gupta, Kuhika & Ripberger, Joseph T. & Fox, Andrew S. & Jenkins-Smith, Hank C. & Silva, Carol L., 2021. "The future of nuclear energy in India: Evidence from a nationwide survey," Energy Policy, Elsevier, vol. 156(C).
    20. Toshihiro Okubo & Daiju Narita & Katrin Rehdanz & Carsten Schroeder, 2020. "Preferences for nuclear power in post-Fukushima Japan: Evidence from a large nationwide household survey," Keio-IES Discussion Paper Series 2020-003, Institute for Economics Studies, Keio University.
    21. Dongnyok Shim & Seung Wan Kim & Jörn Altmann, 2018. "Strategic management of residential electric services in the competitive market: Demand-oriented perspective," Energy & Environment, , vol. 29(1), pages 49-66, February.
    22. Bonev, Petyo & Emmenegger, Rony & Forero, Laura & Ganev, Kaloyan & Simeonova-Ganeva, Ralitsa & Soederberg, Magnus, 2022. "Nuclear waste in my backyard: social acceptance and economic incentives," Economics Working Paper Series 2215, University of St. Gallen, School of Economics and Political Science.
    23. Lee, You-Kyung, 2020. "Sustainability of nuclear energy in Korea: From the users’ perspective," Energy Policy, Elsevier, vol. 147(C).
    24. Adrian Tantau & Greta Marilena Puscasu & Silvia Elena Cristache & Cristina Alpopi & Laurentiu Fratila & Daniel Moise & Georgeta Narcisa Ciobotar, 2022. "A Deep Understanding of Romanian Attitude and Perception Regarding Nuclear Energy as Green Investment Promoted by the European Green Deal," Energies, MDPI, vol. 16(1), pages 1-14, December.
    25. Ediger, Volkan Ş. & Kirkil, Gokhan & Çelebi, Emre & Ucal, Meltem & Kentmen-Çin, Çiğdem, 2018. "Turkish public preferences for energy," Energy Policy, Elsevier, vol. 120(C), pages 492-502.
    26. Thurner, Thomas & Fursov, Konstantin & Nefedova, Alena, 2022. "Early adopters of new transportation technologies: Attitudes of Russia’s population towards car sharing, the electric car and autonomous driving," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 403-417.
    27. Yu, H. & Reiner, D. & Chen, H. & Mi, Z., 2018. "A comparison of public preferences for different low-carbon energy technologies: Support for CCS, nuclear and wind energy in the United Kingdom," Cambridge Working Papers in Economics 1826, Faculty of Economics, University of Cambridge.
    28. Wang, Shanyong & Wang, Jing & Lin, Shoufu & Li, Jun, 2019. "Public perceptions and acceptance of nuclear energy in China: The role of public knowledge, perceived benefit, perceived risk and public engagement," Energy Policy, Elsevier, vol. 126(C), pages 352-360.
    29. JongRoul Woo & Sesil Lim & Yong-Gil Lee & Sung-Yoon Huh, 2018. "Financial Feasibility and Social Acceptance for Reducing Nuclear Power Plants: A Contingent Valuation Study," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    30. Syed Hassan Raza & Umer Zaman & Paulo Ferreira & Pablo Farías, 2021. "An Experimental Evidence on Public Acceptance of Genetically Modified Food through Advertisement Framing on Health and Environmental Benefits, Objective Knowledge, and Risk Reduction," IJERPH, MDPI, vol. 18(10), pages 1-24, May.
    31. Guo, Yue & Ren, Tao, 2017. "When it is unfamiliar to me: Local acceptance of planned nuclear power plants in China in the post-fukushima era," Energy Policy, Elsevier, vol. 100(C), pages 113-125.
    32. Axsen, Jonn, 2014. "Citizen acceptance of new fossil fuel infrastructure: Value theory and Canada׳s Northern Gateway Pipeline," Energy Policy, Elsevier, vol. 75(C), pages 255-265.
    33. Xia, Dongqin & Li, Yazhou & He, Yanling & Zhang, Tingting & Wang, Yongliang & Gu, Jibao, 2019. "Exploring the role of cultural individualism and collectivism on public acceptance of nuclear energy," Energy Policy, Elsevier, vol. 132(C), pages 208-215.
    34. Sung-Yoon Huh & Chul-Yong Lee, 2017. "A Demand-Side Perspective on Developing a Future Electricity Generation Mix: Identifying Heterogeneity in Social Preferences," Energies, MDPI, vol. 10(8), pages 1-19, August.
    35. Reeko Watanabe & Tsunemi Watanabe & Kyohei Wakui, 2021. "Acceptance of Main Power Generation Sources among Japan’s Undergraduate Students: The Roles of Knowledge, Experience, Trust, and Perceived Risk and Benefit," Sustainability, MDPI, vol. 13(22), pages 1, November.
    36. Harjanne, Atte & Korhonen, Janne M., 2019. "Abandoning the concept of renewable energy," Energy Policy, Elsevier, vol. 127(C), pages 330-340.
    37. Wang, Shanyong & Wang, Jing & Lin, Shoufu & Li, Jun, 2020. "How and when does information publicity affect public acceptance of nuclear energy?," Energy, Elsevier, vol. 198(C).

  14. Roh, Seungkook & Kim, Wonjoon, 2014. "How can Korea secure uranium enrichment and spent fuel reprocessing rights?," Energy Policy, Elsevier, vol. 68(C), pages 195-198.

    Cited by:

    1. Chuanwang Sun & Nan Lyu & Xiaoling Ouyang, 2014. "Chinese Public Willingness to Pay to Avoid Having Nuclear Power Plants in the Neighborhood," Sustainability, MDPI, vol. 6(10), pages 1-27, October.
    2. Roh, Seungkook & Choi, Jae Young & Chang, Soon Heung, 2019. "Modeling of nuclear power plant export competitiveness and its implications: The case of Korea," Energy, Elsevier, vol. 166(C), pages 157-169.

  15. Kim, Younghwan & Kim, Minki & Kim, Wonjoon, 2013. "Effect of the Fukushima nuclear disaster on global public acceptance of nuclear energy," Energy Policy, Elsevier, vol. 61(C), pages 822-828.

    Cited by:

    1. Sun, Chuanwang & Zhu, Xiting, 2014. "Evaluating the public perceptions of nuclear power in China: Evidence from a contingent valuation survey," Energy Policy, Elsevier, vol. 69(C), pages 397-405.
    2. Soni, Anmol, 2018. "Out of sight, out of mind? Investigating the longitudinal impact of the Fukushima nuclear accident on public opinion in the United States," Energy Policy, Elsevier, vol. 122(C), pages 169-175.
    3. Gupta, Kuhika & Nowlin, Matthew C. & Ripberger, Joseph T. & Jenkins-Smith, Hank C. & Silva, Carol L., 2019. "Tracking the nuclear ‘mood’ in the United States: Introducing a long term measure of public opinion about nuclear energy using aggregate survey data," Energy Policy, Elsevier, vol. 133(C).
    4. Hui Zhang & Chris Dolan & Si Meng Jing & Justine Uyimleshi & Peter Dodd, 2019. "Bounce Forward: Economic Recovery in Post-Disaster Fukushima," Sustainability, MDPI, vol. 11(23), pages 1-24, November.
    5. Ocelík, Petr & Osička, Jan & Zapletalová, Veronika & Černoch, Filip & Dančák, Břetislav, 2017. "Local opposition and acceptance of a deep geological repository of radioactive waste in the Czech Republic: A frame analysis," Energy Policy, Elsevier, vol. 105(C), pages 458-466.
    6. Evangelia Karasmanaki & Spyridon Galatsidas & Georgios Tsantopoulos, 2019. "An Investigation of Factors Affecting the Willingness to Invest in Renewables among Environmental Students: A Logistic Regression Approach," Sustainability, MDPI, vol. 11(18), pages 1-18, September.
    7. Jacqueline CK Lam & Lawrence YL Cheung & Y. Han & SS Wang, 2018. "China's Response to Nuclear Safety Post-Fukushima: Genuine or Rhetoric?," Working Papers EPRG 1834, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    8. Vladimir M. Cvetković & Adem Öcal & Yuliya Lyamzina & Eric K. Noji & Neda Nikolić & Goran Milošević, 2021. "Nuclear Power Risk Perception in Serbia: Fear of Exposure to Radiation vs. Social Benefits," Energies, MDPI, vol. 14(9), pages 1-19, April.
    9. Han, Y. & Lam, J. & Guo, P. & Gou, Z., 2019. "What Predicts Government Trustworthiness in Cross-border HK-Guangdong Nuclear Safety Emergency Governance?," Cambridge Working Papers in Economics 1989, Faculty of Economics, University of Cambridge.
    10. Fischer, Manuel, 2015. "Collaboration patterns, external shocks and uncertainty: Swiss nuclear energy politics before and after Fukushima," Energy Policy, Elsevier, vol. 86(C), pages 520-528.
    11. Erwan Hermawan & Usman Sudjadi, 2022. "Integrated Nuclear-Renewable Energy System for Industrialization in West Nusa Tenggara Province, Indonesia: Economic, Potential Site, and Policy Recommendation," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 146-159, July.
    12. Huang, Lei & He, Ruoying & Yang, Qianqi & Chen, Jin & Zhou, Ying & Hammitt, James K. & Lu, Xi & Bi, Jun & Liu, Yang, 2018. "The changing risk perception towards nuclear power in China after the Fukushima nuclear accident in Japan," Energy Policy, Elsevier, vol. 120(C), pages 294-301.
    13. Leurent, Martin & Jasserand, Frédéric & Locatelli, Giorgio & Palm, Jenny & Rämä, Miika & Trianni, Andrea, 2017. "Driving forces and obstacles to nuclear cogeneration in Europe: Lessons learnt from Finland," Energy Policy, Elsevier, vol. 107(C), pages 138-150.
    14. Zhou, Lingyi & Dai, Yixin, 2020. "Which is more effective in China? How communication tools influence public acceptance of nuclear power energy," Energy Policy, Elsevier, vol. 147(C).
    15. Cotterman, Turner & Small, Mitchell J. & Wilson, Stephen & Abdulla, Ahmed & Wong-Parodi, Gabrielle, 2021. "Applying risk tolerance and socio-technical dynamics for more realistic energy transition pathways," Applied Energy, Elsevier, vol. 291(C).
    16. Jaesun Wang & Seoyong Kim, 2018. "Comparative Analysis of Public Attitudes toward Nuclear Power Energy across 27 European Countries by Applying the Multilevel Model," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    17. Uji, Azusa & Prakash, Aseem & Song, Jaehyun, 2021. "Does the “NIMBY syndrome” undermine public support for nuclear power in Japan?," Energy Policy, Elsevier, vol. 148(PA).
    18. Wang, Jing & Li, Yazhou & Wu, Jianlin & Gu, Jibao & Xu, Shuo, 2020. "Environmental beliefs and public acceptance of nuclear energy in China: A moderated mediation analysis," Energy Policy, Elsevier, vol. 137(C).
    19. Kazuya Nakayachi, 2015. "Examining Public Trust in Risk‐Managing Organizations After a Major Disaster," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 57-67, January.
    20. Fang, Baling & Tan, Yi & Li, Canbing & Cao, Yijia & Liu, Jianguo & Schweizer, Pia-Johanna & Shi, Haiqing & Zhou, Bin & Chen, Hao & Hu, Zhuangli, 2016. "Energy sustainability under the framework of telecoupling," Energy, Elsevier, vol. 106(C), pages 253-259.
    21. Niels G. Mede, 2022. "Legacy media as inhibitors and drivers of public reservations against science: global survey evidence on the link between media use and anti-science attitudes," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    22. Nuortimo, Kalle & Härkönen, Janne, 2018. "Opinion mining approach to study media-image of energy production. Implications to public acceptance and market deployment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 210-217.
    23. Ozcan, Mustafa, 2019. "Factors influencing the electricity generation preferences of Turkish citizens: Citizens' attitudes and policy recommendations in the context of climate change and environmental impact," Renewable Energy, Elsevier, vol. 132(C), pages 381-393.
    24. Lam, J. & Li, V. & Reiner, D. & Han, Y., 2018. "Trust in Government and Effective Nuclear Safety Governance in Great Britain," Cambridge Working Papers in Economics 1827, Faculty of Economics, University of Cambridge.
    25. Chuanwang Sun & Nan Lyu & Xiaoling Ouyang, 2014. "Chinese Public Willingness to Pay to Avoid Having Nuclear Power Plants in the Neighborhood," Sustainability, MDPI, vol. 6(10), pages 1-27, October.
    26. Lienert, Pascal & Suetterlin, Bernadette & Siegrist, Michael, 2015. "Public acceptance of the expansion and modification of high-voltage power lines in the context of the energy transition," Energy Policy, Elsevier, vol. 87(C), pages 573-583.
    27. Jorge Hugo Barrientos-Marín & Sebastian Ospina-Valencia & Sebastian Giraldo, 2020. "The economic cost of natural disasters the case of the tsunami and nuclear emergency in Japan in 2011," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 93, pages 225-260, Julio-Dic.
    28. Norifumi Tsujikawa & Shoji Tsuchida & Takamasa Shiotani, 2016. "Changes in the Factors Influencing Public Acceptance of Nuclear Power Generation in Japan Since the 2011 Fukushima Daiichi Nuclear Disaster," Risk Analysis, John Wiley & Sons, vol. 36(1), pages 98-113, January.
    29. Kim, Philseo & Kim, Jihee & Yim, Man-Sung, 2020. "How deliberation changes public opinions on nuclear energy: South Korea's deliberation on closing nuclear reactors," Applied Energy, Elsevier, vol. 270(C).
    30. Melikoglu, Mehmet, 2016. "The role of renewables and nuclear energy in Turkey׳s Vision 2023 energy targets: Economic and technical scrutiny," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1-12.
    31. Contu, Davide & Strazzera, Elisabetta & Mourato, Susana, 2016. "Modeling individual preferences for energy sources: The case of IV generation nuclear energy in Italy," Ecological Economics, Elsevier, vol. 127(C), pages 37-58.
    32. Čábelková, Inna & Strielkowski, Wadim & Streimikiene, Dalia & Cavallaro, Fausto & Streimikis, Justas, 2021. "The social acceptance of nuclear fusion for decision making towards carbon free circular economy: Evidence from Czech Republic," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    33. Siegrist, Michael & Sütterlin, Bernadette & Keller, Carmen, 2014. "Why have some people changed their attitudes toward nuclear power after the accident in Fukushima?," Energy Policy, Elsevier, vol. 69(C), pages 356-363.
    34. Naomi Aoki, 2018. "Who Would Be Willing to Accept Disaster Debris in Their Backyard? Investigating the Determinants of Public Attitudes in Post‐Fukushima Japan," Risk Analysis, John Wiley & Sons, vol. 38(3), pages 535-547, March.
    35. Toshihiro Okubo & Daiju Narita & Katrin Rehdanz & Carsten Schroeder, 2020. "Preferences for nuclear power in post-Fukushima Japan: Evidence from a large nationwide household survey," Keio-IES Discussion Paper Series 2020-003, Institute for Economics Studies, Keio University.
    36. Dongnyok Shim & Seung Wan Kim & Jörn Altmann, 2018. "Strategic management of residential electric services in the competitive market: Demand-oriented perspective," Energy & Environment, , vol. 29(1), pages 49-66, February.
    37. Ediger, Volkan Ş. & Kirkil, Gokhan & Çelebi, Emre & Ucal, Meltem & Kentmen-Çin, Çiğdem, 2018. "Turkish public preferences for energy," Energy Policy, Elsevier, vol. 120(C), pages 492-502.
    38. Latré, Edwin & Perko, Tanja & Thijssen, Peter, 2017. "Public opinion change after the Fukushima nuclear accident: The role of national context revisited," Energy Policy, Elsevier, vol. 104(C), pages 124-133.
    39. Kwak, Kiho & Yoon, Hyungseok (David), 2020. "Unpacking transnational industry legitimacy dynamics, windows of opportunity, and latecomers’ catch-up in complex product systems," Research Policy, Elsevier, vol. 49(4).
    40. JongRoul Woo & Sesil Lim & Yong-Gil Lee & Sung-Yoon Huh, 2018. "Financial Feasibility and Social Acceptance for Reducing Nuclear Power Plants: A Contingent Valuation Study," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    41. Junhee Bae & Yanghon Chung & Hyesoo Ko, 2021. "Analysis of efficiency in public research activities in terms of knowledge spillover: focusing on earthquake R&D accomplishments," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(2), pages 2249-2264, September.
    42. Jinje Park & Changhyun Kim & Minh-Chau Dinh & Minwon Park, 2022. "Design of a Condition Monitoring System for Wind Turbines," Energies, MDPI, vol. 15(2), pages 1-16, January.
    43. Istvan Ervin Haber & Mate Toth & Robert Hajdu & Kinga Haber & Gabor Pinter, 2021. "Exploring Public Opinions on Renewable Energy by Using Conventional Methods and Social Media Analysis," Energies, MDPI, vol. 14(11), pages 1-13, May.
    44. George Halkos & Argyro Zisiadou, 2020. "An Overview of the Technological Environmental Hazards over the Last Century," Economics of Disasters and Climate Change, Springer, vol. 4(2), pages 411-428, July.
    45. Guo, Yue & Ren, Tao, 2017. "When it is unfamiliar to me: Local acceptance of planned nuclear power plants in China in the post-fukushima era," Energy Policy, Elsevier, vol. 100(C), pages 113-125.
    46. Roh, Seungkook & Kim, Wonjoon, 2014. "How can Korea secure uranium enrichment and spent fuel reprocessing rights?," Energy Policy, Elsevier, vol. 68(C), pages 195-198.
    47. Huh, Sung-Yoon & Woo, JongRoul & Lim, Sesil & Lee, Yong-Gil & Kim, Chang Seob, 2015. "What do customers want from improved residential electricity services? Evidence from a choice experiment," Energy Policy, Elsevier, vol. 85(C), pages 410-420.
    48. Hsiao, Chih-Tung & Liu, Chung-Shu & Chang, Dong-Shang & Chen, Chun-Cheng, 2018. "Dynamic modeling of the policy effect and development of electric power systems: A case in Taiwan," Energy Policy, Elsevier, vol. 122(C), pages 377-387.
    49. Kosai, Shoki & Yamasue, Eiji, 2019. "Recommendation to ASEAN nuclear development based on lessons learnt from the Fukushima nuclear accident," Energy Policy, Elsevier, vol. 129(C), pages 628-635.
    50. Xie, Hualin & Yu, Yanni & Wang, Wei & Liu, Yanchu, 2017. "The substitutability of non-fossil energy, potential carbon emission reduction and energy shadow prices in China," Energy Policy, Elsevier, vol. 107(C), pages 63-71.
    51. Sun, Chuanwang & Zhu, Xiting & Meng, Xiaochun, 2016. "Post-Fukushima public acceptance on resuming the nuclear power program in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 685-694.
    52. Seoyong Kim & Sunhee Kim, 2017. "Impact of the Fukushima Nuclear Accident on Belief in Rumors: The Role of Risk Perception and Communication," Sustainability, MDPI, vol. 9(12), pages 1-21, November.
    53. Murakami, Kayo & Ida, Takanori & Tanaka, Makoto & Friedman, Lee, 2015. "Consumers' willingness to pay for renewable and nuclear energy: A comparative analysis between the US and Japan," Energy Economics, Elsevier, vol. 50(C), pages 178-189.
    54. Qingchang Li & Seungkook Roh & Jin Won Lee, 2020. "Segmenting the South Korean Public According to Their Preferred Direction for Electricity Mix Reform," Sustainability, MDPI, vol. 12(21), pages 1-17, October.
    55. Seoyong Kim & Jae Eun Lee & Donggeun Kim, 2019. "Searching for the Next New Energy in Energy Transition: Comparing the Impacts of Economic Incentives on Local Acceptance of Fossil Fuels, Renewable, and Nuclear Energies," Sustainability, MDPI, vol. 11(7), pages 1-32, April.
    56. Gungor, Gorkem & Sari, Ramazan, 2022. "Nuclear power and climate policy integration in developed and developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    57. Xia, Dongqin & Li, Yazhou & He, Yanling & Zhang, Tingting & Wang, Yongliang & Gu, Jibao, 2019. "Exploring the role of cultural individualism and collectivism on public acceptance of nuclear energy," Energy Policy, Elsevier, vol. 132(C), pages 208-215.
    58. Kim Beasy & Laura Ripoll Gonzalez, 2021. "Exploring Changes in Perceptions and Practices of Sustainability in ESD Communities in Australia during the COVID-19 Pandemic," Journal of Education for Sustainable Development, , vol. 15(1), pages 5-24, March.
    59. Zeng, Ming & Wang, Shicheng & Duan, Jinhui & Sun, Jinghui & Zhong, Pengyuan & Zhang, Yingjie, 2016. "Review of nuclear power development in China: Environment analysis, historical stages, development status, problems and countermeasures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1369-1383.
    60. Jessica E. Boscarino, 2019. "From Three Mile Island to Fukushima: the impact of analogy on attitudes toward nuclear power," Policy Sciences, Springer;Society of Policy Sciences, vol. 52(1), pages 21-42, March.
    61. Lam, Jacqueline C.K. & Cheung, Lawrence Y.L. & Han, Yang & Wang, Shanshan, 2022. "China's response to nuclear safety pre- and post-Fukushima: An interdisciplinary analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    62. Kim, Kayoung & Nam, Heekoo & Cho, Youngsang, 2015. "Estimation of the inconvenience cost of a rolling blackout in the residential sector: The case of South Korea," Energy Policy, Elsevier, vol. 76(C), pages 76-86.
    63. Grace Dehner & Mark K. McBeth & Rae Moss & Irene van Woerden, 2023. "A Zero-Carbon Nuclear Energy Future? Lessons Learned from Perceptions of Climate Change and Nuclear Waste," Energies, MDPI, vol. 16(4), pages 1-16, February.
    64. Ephraim Bonah Agyekum & Ernest Baba Ali & Nallapaneni Manoj Kumar, 2021. "Clean Energies for Ghana—An Empirical Study on the Level of Social Acceptance of Renewable Energy Development and Utilization," Sustainability, MDPI, vol. 13(6), pages 1-14, March.
    65. Sütterlin, Bernadette & Siegrist, Michael, 2017. "Public acceptance of renewable energy technologies from an abstract versus concrete perspective and the positive imagery of solar power," Energy Policy, Elsevier, vol. 106(C), pages 356-366.

  16. Kim, Younghwan & Kim, Wonjoon & Yang, Taeyong, 2012. "The effect of the triple helix system and habitat on regional entrepreneurship: Empirical evidence from the U.S," Research Policy, Elsevier, vol. 41(1), pages 154-166.

    Cited by:

    1. Noriko Yoda & Kenichi Kuwashima, 2020. "Triple Helix of University–Industry–Government Relations in Japan: Transitions of Collaborations and Interactions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 1120-1144, September.
    2. Wei, Yifan, 2022. "Reprint of: Regional governments and opportunity entrepreneurship in underdeveloped institutional environments: An entrepreneurial ecosystem perspective," Research Policy, Elsevier, vol. 51(9).
    3. Altaf Hussain Samo & Noor Ul Huda, 2019. "Triple Helix and academic entrepreneurial intention: understanding motivating factors for academic spin-off among young researchers," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 9(1), pages 1-15, December.
    4. Farnaz Farzin, 2017. "Localising the impact of techno-entrepreneurship in Eastern Iran: Birjand's Science and Technology Park as a local innovation community," Local Economy, London South Bank University, vol. 32(7), pages 692-710, November.
    5. Fragoso, Rui Manuel de Sousa, 2015. "Habitat Features and Strategies for the Sustainable Development in the Alentejo Region," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 53(Supplemen), pages 1-12, March.
    6. Wei, Yifan, 2022. "Regional governments and opportunity entrepreneurship in underdeveloped institutional environments: An entrepreneurial ecosystem perspective," Research Policy, Elsevier, vol. 51(1).
    7. Yi Zhang & Xiao Zhou & Alan L. Porter & Jose M. Vicente Gomila & An Yan, 2014. "Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 55-75, April.
    8. Tao Zhuang & Shuliang Zhao & Mingliang Zheng & Jianxun Chu, 2021. "Triple helix relationship research on China's regional university–industry–government collaborative innovation: Based on provincial patent data," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1361-1386, September.
    9. Massimiliano Vesci & Antonio Botti & Rosangela Feola & Chiara Crudele, 2021. "Academic Entrepreneurial Intention and Its Determinants: Exploring the Moderating Role of Innovation Ecosystem," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(8), pages 1-39, July.
    10. Baier-Fuentes, Hugo & Guerrero, Maribel & Amorós, José Ernesto, 2021. "Does triple helix collaboration matter for the early internationalisation of technology-based firms in emerging Economies?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    11. Kim, Wonjoon, 2015. "The current transition in management of technology education: The case of Korea," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 5-20.
    12. Hong Joo Lee, 2019. "What Factors Are Necessary for Sustaining Entrepreneurship?," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    13. Petra A. Nylund & Boyd Cohen, 2017. "Collision density: driving growth in urban entrepreneurial ecosystems," International Entrepreneurship and Management Journal, Springer, vol. 13(3), pages 757-776, September.
    14. Chih-Cheng CHEN, 2015. "Industrial Agglomeration, Clusters, and Regional New Firm Formation: A Case Study of Taiwan’s Counties/Cities," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 15(1), pages 173-190.
    15. João Lopes & Mário Franco, 2019. "Review About Regional Development Networks: an Ecosystem Model Proposal," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 275-297, March.
    16. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.
    17. Jaelani, Aan, 2019. "Triple Helix sebagai model bagi inovasi pendidikan tinggi: Analisis logika kelembagaan dalam pengembangan kewirausahaan dan ekonomi [The Triple Helix as a model for innovation of higher education: ," MPRA Paper 95752, University Library of Munich, Germany, revised 05 Jul 2019.
    18. Filippopoulos, Nikolaos & Fotopoulos, Georgios, 2022. "Innovation in economically developed and lagging European regions: A configurational analysis," Research Policy, Elsevier, vol. 51(2).
    19. Hernández-Trasobares, Alejandro & Murillo-Luna, Josefina L., 2020. "The effect of triple helix cooperation on business innovation: The case of Spain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    20. Li, Yutao & Zhang, Jinning & Lyu, Yanwei, 2023. "Does telecommunications infrastructure promote entrepreneurship in developing countries? Evidence from a quasi-natural experiment in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 106-119.
    21. Sleuwaegen, Leo & Boiardi, Priscilla, 2014. "Creativity and regional innovation: Evidence from EU regions," Research Policy, Elsevier, vol. 43(9), pages 1508-1522.
    22. J. Leendertse & M.T. Schrijvers & F.C. Stam, 2020. "Measure twice, cut once: entrepreneurial ecosystem metrics," Working Papers 2001, Utrecht School of Economics.
    23. Petra A. Nylund & Boyd Cohen, 0. "Collision density: driving growth in urban entrepreneurial ecosystems," International Entrepreneurship and Management Journal, Springer, vol. 0, pages 1-20.
    24. Zhou, Junbi & Wang, Mingyue, 2023. "The role of government-industry-academia partnership in business incubation: Evidence from new R&D institutions in China," Technology in Society, Elsevier, vol. 72(C).
    25. João Nuno Morais Lopes & Luís Farinha, 2018. "Measuring the Performance of Innovation and Entrepreneurship Networks," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(2), pages 402-423, June.
    26. Anak Agung Dwi Widyani & I Nengah Suardhika & Ni Putu Yeni Astiti & Ni Wayan Rustiarini, 2022. "Triple Helix: the concept of synergy for SMEs to increase business performance," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 24(2), pages 174-191, December.
    27. Michael Olumekor & Hossam Haddad & Nidal Mahmoud Al-Ramahi, 2023. "The Relationship between Search Engines and Entrepreneurship Development: A Granger-VECM Approach," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    28. Maria Vivar-Simon & Noemi Zabaleta & Juan De La Torre & Aimar Basañez & Aner Urruzuno & Leire Markuerkiaga, 2022. "Towards Human-Scale Competitiveness: Priority Challenges for Triple Helix towards 2030," Sustainability, MDPI, vol. 14(13), pages 1-15, July.
    29. Oscarina Conceição & Ana Paula Faria & Margarida Fontes, 2017. "Regional variation of academic spinoffs formation," The Journal of Technology Transfer, Springer, vol. 42(3), pages 654-675, June.
    30. Christian Corsi, 2018. "Il ruolo degli spin-off universitari nel contesto socio-economico locale: analisi degli indicatori di performance e innovazione," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(1), pages 73-94.
    31. Niccolò Ghio & Massimiliano Guerini & Erik Lehmann & Cristina Rossi-Lamastra, 2015. "The emergence of the knowledge spillover theory of entrepreneurship," Small Business Economics, Springer, vol. 44(1), pages 1-18, January.

  17. Jun, Eunju & Joon Kim, Won & Hoon Jeong, Yong & Heung Chang, Soon, 2010. "Measuring the social value of nuclear energy using contingent valuation methodology," Energy Policy, Elsevier, vol. 38(3), pages 1470-1476, March.
    See citations under working paper version above.
  18. Wonjoon Kim & Jeong-Dong Lee, 2009. "Measuring the role of technology-push and demand-pull in the dynamic development of the semiconductor industry: The case of the global DRAM marke," Journal of Applied Economics, Universidad del CEMA, vol. 12, pages 83-108, May.

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    1. Sick, Nathalie & Preschitschek, Nina & Leker, Jens & Bröring, Stefanie, 2019. "A new framework to assess industry convergence in high technology environments," Technovation, Elsevier, vol. 84, pages 48-58.
    2. Kim, Wonjoon & Kim, Minki, 2015. "Reference quality-based competitive market structure for innovation driven markets," International Journal of Research in Marketing, Elsevier, vol. 32(3), pages 284-296.
    3. Kim, Wonjoon, 2015. "The current transition in management of technology education: The case of Korea," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 5-20.
    4. Kim, Namil & Lee, Hyeokseong & Kim, Wonjoon & Lee, Hyunjong & Suh, Jong Hwan, 2015. "Dynamic patterns of industry convergence: Evidence from a large amount of unstructured data," Research Policy, Elsevier, vol. 44(9), pages 1734-1748.
    5. Chi, Maomao & Wang, Weijun & Lu, Xinyuan & George, Joey F., 2018. "Antecedents and outcomes of collaborative innovation capabilities on the platform collaboration environment," International Journal of Information Management, Elsevier, vol. 43(C), pages 273-283.
    6. Kaldasch, Joachim, 2014. "Evolutionary Model of Moore’s Law," MPRA Paper 54397, University Library of Munich, Germany.
    7. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.
    8. Sergey A. Revyakin, 2022. "Personal privacy VS. public safety: A hybrid model of the use of smart city solutions in fighting the COVID‐19 pandemic in Moscow," Public Administration & Development, Blackwell Publishing, vol. 42(5), pages 281-292, December.
    9. Hossein Sabzian & Mohammad Ali Shafia & Mehdi Ghazanfari & Ali Bonyadi Naeini, 2020. "Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory," Sustainability, MDPI, vol. 12(7), pages 1-36, April.
    10. Hyeokseong Lee & Namil Kim & Kiho Kwak & Wonjoon Kim & Hyungjoon Soh & Kyungbae Park, 2016. "Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data," Sustainability, MDPI, vol. 8(10), pages 1-18, October.
    11. Vahid Omidi & Abolfazl Shahabadi & Nader Mehregan, 2020. "Innovation Drivers in Developing Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 707-720, June.
    12. Kaldasch, Joachim, 2015. "Dynamic Model of Markets of Successive Product Generations," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(3), pages 1-15.

  19. Jun, Eunju & Kim, Wonjoon & Chang, Soon Heung, 2009. "The analysis of security cost for different energy sources," Applied Energy, Elsevier, vol. 86(10), pages 1894-1901, October.

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    1. Martchamadol, Jutamanee & Kumar, S., 2013. "An aggregated energy security performance indicator," Applied Energy, Elsevier, vol. 103(C), pages 653-670.
    2. Kamali, Sadegh & Amraee, Turaj, 2017. "Blackout prediction in interconnected electric energy systems considering generation re-dispatch and energy curtailment," Applied Energy, Elsevier, vol. 187(C), pages 50-61.
    3. Shafiee, Shahriar & Topal, Erkan, 2010. "A long-term view of worldwide fossil fuel prices," Applied Energy, Elsevier, vol. 87(3), pages 988-1000, March.
    4. Chuang, Ming Chih & Ma, Hwong Wen, 2013. "Energy security and improvements in the function of diversity indices—Taiwan energy supply structure case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 9-20.
    5. Bompard, E. & Carpignano, A. & Erriquez, M. & Grosso, D. & Pession, M. & Profumo, F., 2017. "National energy security assessment in a geopolitical perspective," Energy, Elsevier, vol. 130(C), pages 144-154.
    6. Gracceva, Francesco & Zeniewski, Peter, 2014. "A systemic approach to assessing energy security in a low-carbon EU energy system," Applied Energy, Elsevier, vol. 123(C), pages 335-348.
    7. Franki, Vladimir & Višković, Alfredo, 2015. "Energy security, policy and technology in South East Europe: Presenting and applying an energy security index to Croatia," Energy, Elsevier, vol. 90(P1), pages 494-507.
    8. Ciarreta, Aitor & Nasirov, Shahriyar & Silva, Carlos, 2016. "The development of market power in the Spanish power generation sector: Perspectives after market liberalization," Energy Policy, Elsevier, vol. 96(C), pages 700-710.
    9. Bai, Y. & Zhou, D.Q. & Zhou, P., 2012. "Modelling and analysis of oil import tariff and stockpile policies for coping with supply disruptions," Applied Energy, Elsevier, vol. 97(C), pages 84-90.
    10. Kim, Jinsoo & Kim, Jihyo, 2015. "Korean public’s perceptions on supply security of fossil fuels: A contingent valuation analysis," Applied Energy, Elsevier, vol. 137(C), pages 301-309.
    11. Hughes, Larry & de Jong, Moniek & Wang, Xiao Qin, 2016. "A generic method for analyzing the risks to energy systems," Applied Energy, Elsevier, vol. 180(C), pages 895-908.
    12. Larry Hughes & Moniek de Jong, 2021. "The Risks of Global Heating to Energy Systems and Energy Security," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    13. Almansoori, Ali, 2014. "The influence of South Korean energy policy on OPEC oil exports," Energy Policy, Elsevier, vol. 67(C), pages 572-582.
    14. Ding, Yueting & Zhang, Ming & Chen, Sai & Nie, Rui, 2020. "Assessing the resilience of China’s natural gas importation under network disruptions," Energy, Elsevier, vol. 211(C).
    15. Winzer, Christian, 2012. "Conceptualizing energy security," Energy Policy, Elsevier, vol. 46(C), pages 36-48.
    16. Zhang, Long & Yu, Jing & Sovacool, Benjamin K. & Ren, Jingzheng, 2017. "Measuring energy security performance within China: Toward an inter-provincial prospective," Energy, Elsevier, vol. 125(C), pages 825-836.
    17. Bigerna, Simona & D’Errico, Maria Chiara & Polinori, Paolo, 2021. "Energy security and RES penetration in a growing decarbonized economy in the era of the 4th industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    18. Jaesun Wang & Seoyong Kim, 2018. "Comparative Analysis of Public Attitudes toward Nuclear Power Energy across 27 European Countries by Applying the Multilevel Model," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    19. Augutis, Juozas & Krikstolaitis, Ricardas & Martisauskas, Linas & Peciulyte, Sigita, 2012. "Energy security level assessment technology," Applied Energy, Elsevier, vol. 97(C), pages 143-149.
    20. Rubio-Varas, Mar & Muñoz-Delgado, Beatriz, 2017. "200 years diversifying the energy mix? Diversification paths of the energy baskets of European early comers vs. latecomers," Working Papers in Economic History 2017/01, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    21. Tomasz Rokicki & Aleksandra Perkowska, 2021. "Diversity and Changes in the Energy Balance in EU Countries," Energies, MDPI, vol. 14(4), pages 1-19, February.
    22. Mohsin, M. & Zhou, P. & Iqbal, N. & Shah, S.A.A., 2018. "Assessing oil supply security of South Asia," Energy, Elsevier, vol. 155(C), pages 438-447.
    23. Huang, Beijia & Zhang, Long & Ma, Linmao & Bai, Wuliyasu & Ren, Jingzheng, 2021. "Multi-criteria decision analysis of China’s energy security from 2008 to 2017 based on Fuzzy BWM-DEA-AR model and Malmquist Productivity Index," Energy, Elsevier, vol. 228(C).
    24. Rao, A. Gangoli & van den Oudenalder, F.S.C. & Klein, S.A., 2019. "Natural gas displacement by wind curtailment utilization in combined-cycle power plants," Energy, Elsevier, vol. 168(C), pages 477-491.
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