Solar energy technologies and open innovation: A study based on bibliometric and social network analysis

被引:60
|
作者
de Paulo, Alex Fabianne [1 ]
Porto, Geciane Silveira [1 ]
机构
[1] Univ Sao Paulo, Business Adm & Accounting Ribeirao Preto, Sch Econ, Bandeirantes Ave,Room 42 Bldg B2, BR-14040905 Ribeirao Preto, SP, Brazil
关键词
Solar energy; Open innovation; Cooperation; Bibliometrics; Social network analysis; TRENDS;
D O I
10.1016/j.enpol.2017.06.007
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper aims to identify the development of solar energy technologies through open innovation. Manuscripts about solar energy and open innovation published between the years 2000 and 2014 in journals indexed by Web of Science Core Collection were used to create a database and terms related to solar energy and open innovation were sought in papers title, summary and keywords. By using words "cooperation" and "collaboration" as a proxy to map open innovation, it was found that this approach exist widely for solar energy researches and most important publications was developed collaboratively. Social network analysis methodology was used to identified clusters of local, national and international partnerships, which prove that researches cooperation to solar energy technological development is true. International cooperation is prevalent in countries like the Netherlands, United Kingdom, Spain and Germany. National partnership occurs in Japan, United States, France, Italy and South Korea. China has predominant local cooperation profile, but it will be major international collaborative actor in solar energy researches next years. Also, a set of recommendations based on findings was provided to construct a better environment for cooperation and to improve solar energy researches.
引用
收藏
页码:228 / 238
页数:11
相关论文
共 50 条
  • [31] STUDY ON THE KNOWLEDGE-SHARING NETWORK OF INNOVATION TEAMS USING SOCIAL NETWORK ANALYSIS
    Tian, Zhihong
    Zhang, Zhenji
    Xiao, Dongpo
    ICEIS 2011: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 2, 2011, : 438 - 443
  • [32] Open innovation and firm performance in emerging economies: a bibliometric and TCCM analysis review
    Majumdarr, Shubh
    Dasgupta, Shilpee A.
    Farooq, Rayees
    MANAGEMENT DECISION, 2023,
  • [33] A Study on the Landscape of Cancer Disease Researches Using Bibliometric Methods and Social Network Analysis
    Lin, Xueqin
    Zhu, Jia
    Tang, Yong
    Fung, Gabriel
    Huang, Jin
    Huang, Changqin
    Tang, Feiyi
    2017 IEEE 21ST INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2017, : 239 - 244
  • [34] Understanding Open Innovation in Large Firms: A Co-citation Bibliometric Analysis
    Noviaristanti, Siska
    PROCEEDINGS OF THE 2ND PADANG INTERNATIONAL CONFERENCE ON EDUCATION, ECONOMICS, BUSINESS AND ACCOUNTING (PICEEBA-2 2018), 2018, 64 : 448 - 455
  • [35] A Bibliometric Analysis and Systematic Review on E-Marketplaces, Open Innovation, and Sustainability
    Alejandro Cano, Jose
    Londono-Pineda, Abraham
    Fanny Castro, Maria
    Becquer Paz, Hugo
    Rodas, Carolina
    Arias, Tatiana
    SUSTAINABILITY, 2022, 14 (09)
  • [36] The assessment of interprofessional practice in mental health nursing with ethnographic observation and social network analysis: a confirmatory and bibliometric network study using VOSviewer
    Lazzari, Carlo
    McAleer, Sean
    Rabottini, Marco
    RIVISTA DI PSICHIATRIA, 2022, 57 (03) : 115 - 122
  • [37] Diffusion of energy efficiency technologies in European residential buildings: A bibliometric analysis
    Camarasa, Clara
    Nageli, Claudio
    Ostermeyer, York
    Klippel, Michael
    Botzler, Sebastian
    ENERGY AND BUILDINGS, 2019, 202
  • [38] A BIBLIOMETRIC ANALYSIS OF THE APPLICATION OF SOCIAL NETWORK ANALYSIS IN SUPPLY CHAIN MANAGEMENT
    Wang, Can
    LOGFORUM, 2022, 18 (01) : 123 - 136
  • [39] Predicting potential knowledge convergence of solar energy: bibliometric analysis based on link prediction model
    Duan, Yueran
    Guan, Qing
    SCIENTOMETRICS, 2021, 126 (05) : 3749 - 3773
  • [40] Predicting potential knowledge convergence of solar energy: bibliometric analysis based on link prediction model
    Yueran Duan
    Qing Guan
    Scientometrics, 2021, 126 : 3749 - 3773