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Giorgio Triulzi

Personal Details

First Name:Giorgio
Middle Name:
Last Name:Triulzi
Suffix:
RePEc Short-ID:ptr218
http://www.giorgio-triulzi.com

Affiliation

Facultad de Administración
Universidad de los Andes (Colombia)

Bogotá, Colombia
http://administracion.uniandes.edu.co/
RePEc:edi:faandco (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Anuraag Singh & Giorgio Triulzi & Christopher L. Magee, 2020. "Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description," Papers 2004.13919, arXiv.org.
  2. Mariam Barry & Giorgio Triulzi & Christopher L. Magee, 2017. "Food Productivity Trends from Hybrid Corn: Statistical Analysis of Patents and Field-test data," Papers 1706.05911, arXiv.org.
  3. Triulzi, G., 2014. "Technology life cycle and specialization patterns of latecomer countries: The case of the semiconductor industry," MERIT Working Papers 2014-012, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  4. Triulzi, Giorgio & Scholz, Ramon & Pyka, Andreas, 2011. "R&D and knowledge dynamics in university-industry relationships in biotech and pharmaceuticals: An agent-based model," FZID Discussion Papers 33-2011, University of Hohenheim, Center for Research on Innovation and Services (FZID).

Articles

  1. Park, Inchae & Triulzi, Giorgio & Magee, Christopher L., 2022. "Tracing the emergence of new technology: A comparative analysis of five technological domains," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  2. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
  3. Triulzi, Giorgio & Alstott, Jeff & Magee, Christopher L., 2020. "Estimating technology performance improvement rates by mining patent data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
  4. Luo, Jianxi & Triulzi, Giorgio, 2018. "Cyclic dependence, vertical integration, and innovation: The case of Japanese electronics sector in the 1990s," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 46-55.
  5. Jeff Alstott & Giorgio Triulzi & Bowen Yan & Jianxi Luo, 2017. "Mapping technology space by normalizing patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 443-479, January.
  6. Bhupatiraju, Samyukta & Nomaler, Önder & Triulzi, Giorgio & Verspagen, Bart, 2012. "Knowledge flows – Analyzing the core literature of innovation, entrepreneurship and science and technology studies," Research Policy, Elsevier, vol. 41(7), pages 1205-1218.

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. Anuraag Singh & Giorgio Triulzi & Christopher L. Magee, 2020. "Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description," Papers 2004.13919, arXiv.org.

    Cited by:

    1. 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.

  2. Mariam Barry & Giorgio Triulzi & Christopher L. Magee, 2017. "Food Productivity Trends from Hybrid Corn: Statistical Analysis of Patents and Field-test data," Papers 1706.05911, arXiv.org.

    Cited by:

    1. Triulzi, Giorgio & Alstott, Jeff & Magee, Christopher L., 2020. "Estimating technology performance improvement rates by mining patent data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).

  3. Triulzi, Giorgio & Scholz, Ramon & Pyka, Andreas, 2011. "R&D and knowledge dynamics in university-industry relationships in biotech and pharmaceuticals: An agent-based model," FZID Discussion Papers 33-2011, University of Hohenheim, Center for Research on Innovation and Services (FZID).

    Cited by:

    1. Santiago Quintero Ramírez & Walter Lugo Ruiz Castañeda & Jorge Robledo Velásquez, 2017. "Representation of unlearning in the innovation systems: A proposal from agent-based modeling," Estudios Gerenciales, Universidad Icesi, vol. 33(145), pages 366-376, November.
    2. Nuha Zamzami & Andrea Schiffauerova, 2017. "The impact of individual collaborative activities on knowledge creation and transmission," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1385-1413, June.

Articles

  1. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).

    Cited by:

    1. Matthias Niggli & Christian Rutzer, 2023. "Digital technologies, technological improvement rates, and innovations “Made in Switzerland”," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-31, December.
    2. Che, Xiao-Jing & Zhou, P. & Chai, Kah-Hin, 2022. "Regional policy effect on photovoltaic (PV) technology innovation: Findings from 260 cities in China," Energy Policy, Elsevier, vol. 162(C).
    3. Seh-Hyun Yoo & Chang-Yang Lee, 2023. "Technological diversification, technology portfolio properties, and R&D productivity," The Journal of Technology Transfer, Springer, vol. 48(6), pages 2074-2105, December.
    4. Che, Xiao-Jing & Zhou, P. & Wang, M., 2022. "The policy effect on photovoltaic technology innovation with regional heterogeneity in China," Energy Economics, Elsevier, vol. 115(C).
    5. Martin Ho & Henry CW Price & Tim S Evans & Eoin O'Sullivan, 2023. "Order in Innovation," Papers 2302.13076, arXiv.org.
    6. 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).

  2. Triulzi, Giorgio & Alstott, Jeff & Magee, Christopher L., 2020. "Estimating technology performance improvement rates by mining patent data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).

    Cited by:

    1. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    2. Hötte, Kerstin & Pichler, Anton & Lafond, François, 2021. "The rise of science in low-carbon energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    3. Matthias Niggli & Christian Rutzer, 2023. "Digital technologies, technological improvement rates, and innovations “Made in Switzerland”," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-31, December.
    4. Anuraag Singh & Giorgio Triulzi & Christopher L. Magee, 2020. "Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description," Papers 2004.13919, arXiv.org.
    5. Park, Inchae & Triulzi, Giorgio & Magee, Christopher L., 2022. "Tracing the emergence of new technology: A comparative analysis of five technological domains," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    6. Böhmecke-Schwafert, Moritz & García Moreno, Eduardo, 2023. "Exploring blockchain-based innovations for economic and sustainable development in the global south: A mixed-method approach based on web mining and topic modeling," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    7. Xi, Xi & Ren, Feifei & Yu, Lean & Yang, Jing, 2023. "Detecting the technology's evolutionary pathway using HiDS-trait-driven tech mining strategy," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

  3. Luo, Jianxi & Triulzi, Giorgio, 2018. "Cyclic dependence, vertical integration, and innovation: The case of Japanese electronics sector in the 1990s," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 46-55.

    Cited by:

    1. Zahoor, Nadia & Khan, Zaheer & Wu, Jie & Tarba, Shlomo Y. & Donbesuur, Francis & Khan, Huda, 2023. "Vertical alliances and innovation: A systematic review of the literature and a future research agenda," Technovation, Elsevier, vol. 122(C).
    2. Li, Yu & Wang, Ran & Wang, Tiexun & Wang, Junhe, 2022. "Exploring the relationship between network routines and innovation ecosystem performance in China: The moderating effect of transaction dependence," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    3. Rachel Xenia Chang & Mário Henrique Ogasavara, 2021. "The impact of institutional distance and experiential knowledge on the internationalization speed of Japanese MNEs," Asian Business & Management, Palgrave Macmillan, vol. 20(5), pages 549-582, November.

  4. Jeff Alstott & Giorgio Triulzi & Bowen Yan & Jianxi Luo, 2017. "Mapping technology space by normalizing patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 443-479, January.

    Cited by:

    1. Michele Pezzoni & Reinhilde Veugelers & Fabiana Visentin, 2022. "How fast is this novel technology going to be a hit? Antecedents predicting follow-on inventions," Post-Print hal-03494455, HAL.
    2. Quentin Plantec & Pascal Le Masson & Benoit Weil, 2020. "Impact of knowledge search practices on the originality of inventions: a study in the oil & gas industry," Post-Print hal-02613665, HAL.
    3. Gnekpe, Christian & Plantec, Quentin, 2023. "Regulatory push-pull and technological knowledge dynamics of circular economy innovation," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    4. Matias Nehuen Iglesias, 2021. "The Overlooked Insights from Correlation Structures in Economic Geography," Papers in Evolutionary Economic Geography (PEEG) 2105, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2021.
    5. François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
    6. Hartmann, Dominik & Jara-Figueroa, Cristian & Kaltenberg, Mary & Gala, Paulo, 2019. "Mapping stratification: The industry-occupation space reveals the network structure of inequality," Hohenheim Discussion Papers in Business, Economics and Social Sciences 06-2019, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    7. Matteo Tubiana & Ernest Miguelez & Rosina Moreno, 2020. "In knowledge we trust: learning-by-interacting and the productivity of inventors," IREA Working Papers 202013, University of Barcelona, Research Institute of Applied Economics, revised Sep 2020.
    8. Jiwon Yu & Jong-Gyu Hwang & Jumi Hwang & Sung Chan Jun & Sumin Kang & Chulung Lee & Hyundong Kim, 2020. "Identification of Vacant and Emerging Technologies in Smart Mobility Through the GTM-Based Patent Map Development," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
    9. Stefano Basilico & Holger Graf, 2023. "Bridging technologies in the regional knowledge space: measurement and evolution," Journal of Evolutionary Economics, Springer, vol. 33(4), pages 1085-1124, September.
    10. Taalbi, Josef, 2020. "Evolution and structure of technological systems - An innovation output network," Research Policy, Elsevier, vol. 49(8).
    11. Pichler, Anton & Lafond, François & Farmer, J. Doyne, 2020. "Technological interdependencies predict innovation dynamics," INET Oxford Working Papers 2020-04, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    12. Triulzi, Giorgio & Alstott, Jeff & Magee, Christopher L., 2020. "Estimating technology performance improvement rates by mining patent data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    13. Filipa Lima & Flávio Pinheiro & João Falcão Silva & Pedro Matos, 2020. "Foreign direct investment – using network analysis to understand the position of Portugal in a global FDI network," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?, volume 52, Bank for International Settlements.
    14. Plantec, Quentin & Le Masson, Pascal & Weil, Benoît, 2021. "Impact of knowledge search practices on the originality of inventions: A study in the oil & gas industry through dynamic patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    15. Yuan Yuan & Jinli Guo & Zhaohua Guo, 2023. "An Evolutionary Analysis of Higher-Order Interaction Collaborative Innovation Networks in China’s New Energy Vehicle Industry," Sustainability, MDPI, vol. 15(15), pages 1-23, July.
    16. Hain, Daniel S. & Jurowetzki, Roman & Buchmann, Tobias & Wolf, Patrick, 2022. "A text-embedding-based approach to measuring patent-to-patent technological similarity," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    17. Fusillo, Fabrizio, 2020. "Are Green Inventions really more complex? Evidence from European Patents," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202015, University of Turin.
    18. Plantec, Quentin & Deval, Marie-Alix & Hooge, Sophie & Weil, Benoit, 2023. "Big data as an exploration trigger or problem-solving patch: Design and integration of AI-embedded systems in the automotive industry," Technovation, Elsevier, vol. 124(C).
    19. Fusillo, Fabrizio, 2023. "Green Technologies and diversity in the knowledge search and output phases: Evidence from European Patents," Research Policy, Elsevier, vol. 52(4).
    20. Ascione, Grazia Sveva, 2023. "Technological diversity to address complex challenges: the contribution of American universities to sdgs," MPRA Paper 119452, University Library of Munich, Germany.
    21. Pollok, Patrick & Lüttgens, Dirk & Piller, Frank T., 2019. "Attracting solutions in crowdsourcing contests: The role of knowledge distance, identity disclosure, and seeker status," Research Policy, Elsevier, vol. 48(1), pages 98-114.
    22. Rosa Maria Arnaldo Valdés & Serhat Burmaoglu & Vincenzo Tucci & Luiz Manuel Braga da Costa Campos & Lucia Mattera & Víctor Fernando Gomez Comendador, 2019. "Flight Path 2050 and ACARE Goals for Maintaining and Extending Industrial Leadership in Aviation: A Map of the Aviation Technology Space," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
    23. Guangtong Li & L. Siddharth & Jianxi Luo, 2023. "Embedding knowledge graph of patent metadata to measure knowledge proximity," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(4), pages 476-490, April.
    24. Higham, Kyle & Contisciani, Martina & De Bacco, Caterina, 2022. "Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    25. Chipten Valibhay & Pascal Le Masson & Benoit Weil, 2018. "Comment l'analyse des modèles de l'invention dans le droit de la propriété intellectuelle permet de caractériser des régimes de conception et des stratégies d'organisation des connaissances," Post-Print hal-01904734, HAL.
    26. Magda Fontana & Martina Iori & Fabio Montobbio & Roberta Sinatra, 2018. "A bridge over troubled water: Interdisciplinarity, Novelty, and Impact," DISCE - Quaderni del Dipartimento di Politica Economica dipe0002, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).

  5. Bhupatiraju, Samyukta & Nomaler, Önder & Triulzi, Giorgio & Verspagen, Bart, 2012. "Knowledge flows – Analyzing the core literature of innovation, entrepreneurship and science and technology studies," Research Policy, Elsevier, vol. 41(7), pages 1205-1218.

    Cited by:

    1. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Romero-Castro, Noelia María & Pérez-Pico, Ada María, 2020. "Innovation, entrepreneurship and knowledge in the business scientific field: Mapping the research front," Journal of Business Research, Elsevier, vol. 115(C), pages 475-485.
    2. Dennys Eduardo Rossetto & Roberto Carlos Bernardes & Felipe Mendes Borini & Cristiane Chaves Gattaz, 2018. "Structure and evolution of innovation research in the last 60 years: review and future trends in the field of business through the citations and co-citations analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1329-1363, June.
    3. Woondong Yeo & Seonho Kim & Jae-Min Lee & Jaewoo Kang, 2014. "Aggregative and stochastic model of main path identification: a case study on graphene," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 633-655, January.
    4. Kuan, Chung-Huei & Chen, Dar-Zen & Huang, Mu-Hsuan, 2020. "The overlooked citations: Investigating the impact of ignoring citations to published patent applications," Journal of Informetrics, Elsevier, vol. 14(1).
    5. Wu, Chaojiang & Yan, Erjia & Hill, Chelsey, 2017. "Disciplinary knowledge diffusion in business research," Journal of Informetrics, Elsevier, vol. 11(2), pages 655-668.
    6. Martin, B.R., 2012. "The Evolution of Science Policy and Innovation Studies," Working Papers wp432, Centre for Business Research, University of Cambridge.
    7. Carlsson, Bo & Braunerhjelm, Pontus & McKelvey, Maureen & Olofsson , Christer & Persson , Lars & Ylinenpää, Håkan, 2012. "The Evolving Domain of Entrepreneurship Research," Working Paper Series in Economics and Institutions of Innovation 284, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    8. Lu, Louis Y.Y. & Liu, John S., 2016. "A novel approach to identify the major research themes and development trajectory: The case of patenting research," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 71-82.
    9. John S. Liu & Louis Y. Y. Lu & Mei Hsiu-Ching Ho, 2019. "A few notes on main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 379-391, April.
    10. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    11. Triulzi, Giorgio & Alstott, Jeff & Magee, Christopher L., 2020. "Estimating technology performance improvement rates by mining patent data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    12. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    13. Martin, Ben R. & Nightingale, Paul & Yegros-Yegros, Alfredo, 2012. "Science and technology studies: Exploring the knowledge base," Research Policy, Elsevier, vol. 41(7), pages 1182-1204.
    14. 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.
    15. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    16. Fagerberg, Jan & Landström, Hans & Martin, Ben R., 2012. "Exploring the emerging knowledge base of ‘the knowledge society’," Research Policy, Elsevier, vol. 41(7), pages 1121-1131.
    17. Landström, Hans & Harirchi, Gouya & Åström, Fredrik, 2012. "Entrepreneurship: Exploring the knowledge base," Research Policy, Elsevier, vol. 41(7), pages 1154-1181.
    18. Mei Hsiu-Ching Ho & John S. Liu & Kerr C.-T. Chang, 2017. "To include or not: the role of review papers in citation-based analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 65-76, January.
    19. Regina Negri Pagani & João Luiz Kovaleski & Luis Mauricio Resende, 2015. "Methodi Ordinatio: a proposed methodology to select and rank relevant scientific papers encompassing the impact factor, number of citation, and year of publication," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2109-2135, December.
    20. Landström, Hans & Harirchi, Gouya, 2018. "The social structure of entrepreneurship as a scientific field," Research Policy, Elsevier, vol. 47(3), pages 650-662.
    21. Alexandros Kakouris & Panagiotis Georgiadis, 2016. "Analysing entrepreneurship education: a bibliometric survey pattern," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 6(1), pages 1-18, December.
    22. Tobias Kollmann & Lucas Kleine-Stegemann & Katharina Cruppe & Christina Then-Bergh, 2022. "Eras of Digital Entrepreneurship," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(1), pages 15-31, February.
    23. Joe Tidd & John Bessant, 2018. "Innovation Management Challenges: From Fads To Fundamentals," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-13, June.
    24. Tainyi Luor & Hsi-Peng Lu & Hueiju Yu & Kuoliang Chang, 2014. "Trends in and contributions to entrepreneurship research: a broad review of literature from 1996 to June 2012," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 353-369, May.
    25. Dongmin Kong & Ni Qin, 2021. "Does Environmental Regulation Shape Entrepreneurship?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(1), pages 169-196, September.
    26. Shih-Chang Hung & John S. Liu & Louis Y. Y. Lu & Yu-Chiang Tseng, 2014. "Technological change in lithium iron phosphate battery: the key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 97-120, July.
    27. Di Stefano, Giada & Gambardella, Alfonso & Verona, Gianmario, 2012. "Technology push and demand pull perspectives in innovation studies: Current findings and future research directions," Research Policy, Elsevier, vol. 41(8), pages 1283-1295.
    28. Luo, Qi & Hu, Haoyu & Feng, Dawei & He, Xiaogang, 2022. "How does broadband infrastructure promote entrepreneurship in China: Evidence from a quasi-natural experiment," Telecommunications Policy, Elsevier, vol. 46(10).
    29. Louis Y.Y. Lu & John S. Liu, 2014. "The Knowledge Diffusion Paths of Corporate Social Responsibility – From 1970 to 2011," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 21(2), pages 113-128, March.
    30. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2018. "Missing links: Timing characteristics and their implications for capturing contemporaneous technological developments," Journal of Informetrics, Elsevier, vol. 12(1), pages 259-270.
    31. Riad Shams, S.M. & Vrontis, Demetris & Chaudhuri, Ranjan & Chavan, Gitesh & Czinkota, Michael R., 2020. "Stakeholder engagement for innovation management and entrepreneurial development: A meta-analysis," Journal of Business Research, Elsevier, vol. 119(C), pages 67-86.
    32. Huang, Chen-Hao & Liu, John S. & Ho, Mei Hsiu-Ching & Chou, Tzu-Chuan, 2022. "Towards more convergent main paths: A relevance-based approach," Journal of Informetrics, Elsevier, vol. 16(3).
    33. Geoffrey M. Hodgson & Juha-Antti Lamberg, 2018. "The past and future of evolutionary economics: some reflections based on new bibliometric evidence," Evolutionary and Institutional Economics Review, Springer, vol. 15(1), pages 167-187, June.
    34. Kong, Dongmin & Qin, Ni & Xiang, Junyi, 2021. "Minimum wage and entrepreneurship: Evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 320-336.
    35. Chun-Hua Hsiao & Kai-Yu Tang & John S. Liu, 2015. "Citation-based analysis of literature: a case study of technology acceptance research," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1091-1110, November.
    36. Chen, Kaihua & Zhang, Yi & Fu, Xiaolan, 2019. "International research collaboration: An emerging domain of innovation studies?," Research Policy, Elsevier, vol. 48(1), pages 149-168.
    37. Song-Chia Hsu & Kai-Ying Chen & Chih-Ping Lin & Wei-Hao Su, 2022. "Knowledge Development Trajectories of Crime Prevention Domain: An Academic Study Based on Citation and Main Path Analysis," IJERPH, MDPI, vol. 19(17), pages 1-20, August.

More information

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Statistics

Access and download statistics for all items

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 4 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-INO: Innovation (3) 2011-10-15 2014-06-02 2017-06-25
  2. NEP-IPR: Intellectual Property Rights (3) 2011-10-15 2017-06-25 2020-05-11
  3. NEP-CSE: Economics of Strategic Management (2) 2011-10-15 2014-06-02
  4. NEP-TID: Technology and Industrial Dynamics (2) 2014-06-02 2020-05-11
  5. NEP-EDU: Education (1) 2011-10-15
  6. NEP-EFF: Efficiency and Productivity (1) 2017-06-25
  7. NEP-GEN: Gender (1) 2020-05-11
  8. NEP-KNM: Knowledge Management and Knowledge Economy (1) 2011-10-15
  9. NEP-SBM: Small Business Management (1) 2011-10-15
  10. NEP-SEA: South East Asia (1) 2014-06-02

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