ABSTRACT
In the 21st century, the world has entered an era of open innovation characterized by the global flow of innovative factors. The primary trade market, which is mainly resource intensive and labor-intensive, has gradually shrunk, while the technology trade characterized by high added value has become one of the trade with the fastest growth in Global trade volume and the strongest development potential. Global technology trade will become the carrier of advanced technology and innovative technology in various countries and regions, and will launch fierce competition in the international market, promoting the evolution and reconstruction of global economy and science and technology system. With the rise of network science, complex network and social network analysis methods have been widely introduced into the field of international trade research. Global trade network research has become a hot spot and frontier, presenting the research context from network nature to spatial evolution simulation, from overall trade network to intra industry or intra product network, from formation mechanism to influencing factors. Therefore, based on the construction of technology trade network based on spatial connection, this paper attempts to analyze the topological elements such as the total scale of trade, network nodes and associations, and network communities, so as to explore the spatial characteristics of global technology trade network.
- Tsai W, Ghoshal S. Social Capital and Value Creation: An Empiri- cal Study of Intrafirm Networks[J]. Academy of Management Jour- nal, 1998, 41 (4): 464 -476.Google Scholar
- Larson A. Network Syads in Entrepreneurial Settings: A Study of the Governance of Exchange Relationships [J]. Administrative Science Quarterly, 1992, 37(1):76 -104.Google ScholarCross Ref
- Chiu C M, Hsu M H, Wang E T G. Understanding Knowledge Sha- ring in Virtual Communities: An Integration of Social Capital and Social Cognitive Theories [J]. Decision Support Systems, 2006, 42 (3):1872 -1888.Google ScholarDigital Library
- Dobrzykowski D D, Tarafdar M. Understanding Information Ex- change in Healthcare Operations: Evidence from Hospitals and Pa- tients[J]. Journal of Operations Management, 2015, 36:201 -214.Google ScholarDigital Library
- Chang H H, Hsieh P H, Fu C S. The Mediating Role of Sense of Virtual Community [J]. Online Information Review, 2016, 40 (7):882 -899.Google ScholarCross Ref
- Zárraga C,Bonache J. Assessing the Team Environment forKnowledge Sharing: An Empirical Analysis[J].International Journal of Human Resource Management,2003,14 (7) : 1227-1245.Google Scholar
- Nonaka I,Takeuchi H. The Knowledge-creating Company: How Japanese Companies Create and the Dynamics of Innovation [M]. New York: Oxford University Press,1995Google Scholar
- Bostrom R P. Successful application of communication techniques to improve the systems development process [J]. Information and Management, 1989, 16 (2): 279-295.Google ScholarDigital Library
- Huber G P. Organizational Learning: The Contributing processes and the literatures [J]. Organization science, 2000, 11 (5): 538-550.Google Scholar
- Gunnar H. A model of knowledge management and the N-form corporation [J]. Strategy Management Journal, 1994, 15 (5): 73-90.Google Scholar
- Hou Changhai. Analysis of China's online education market in 2015. Internet World, 2016(2): 85-88Google Scholar
- Huang Wenzhi, Zhao Jing. Discussion on the development prospect of online education in the era of "Internet +"[J]. China Adult Education, 2016(6): 138-140.Google Scholar
- Dinah G. & Daniel K. & Isabel W. & Jayne C. Training Needs Analysis: A Literature Review and Reappraisal. International Journal of Nursing Studies, 2014, 42(5): 1-10Google Scholar
- Wu Xiaoqiong, Xing Yanfang. Analysis of the Development Path of Online Education[J].Journal of Zhangzhou Teachers College,2015(1):87-90.Google Scholar
- Chen Qilin, Bao Haobo. The history and current situation of online education development in China. Xueyuan, 2014(26): 184-185Google Scholar
- Yang Wei, Yan Jin. Analysis of the Teaching Reform of Open Online Course——Taking L College as an Example[J]. Value Engineering, 2016, 35(19): 207-209.Google Scholar
- Xiao Yuewen, Wang Mingyu. Talking about the status quo and development trend of online education. China Business Theory, 2017(18): 176-177Google Scholar
- Earl L., Katz S. Leading Schools in a Data Rich World. Corwin Press, 2006, 23(2): 9-16Google Scholar
- Zhang Junchao. Institutional Research and University Management in the Age of Big Data[J]. Higher Education Research, 2014(1) : 128.Google Scholar
- Chen Lei. Application of Big Data in Teachers' Online Education Environment——Taking Courses in Zhejiang Province as an Example[J]. Continuing Education, 2017, 31(9): 7-11.Google Scholar
- Yang Xianmin, Development Strategy and Path Choice of Wisdom Education in China [J]. Modern Educational Technology, 2014(1) : 14.Google Scholar
- Liu Bin, Zhang Wenlan. Research on the Influencing Factors and Structure of Online Course Learning Experience [J]. Modern Educational Technology, 2017, 27(09): 107-113.Google Scholar
- Zheng Lei. Online Learning and Quality Assessment Research [J]. Shenzhou, 2014, 14.Google Scholar
- Zhang Wei. Strategies for improving the participation of college students in online learning. Zhejiang Normal University. 2011.11-12.Google Scholar
- Maclaughlin E J, Supernaw R B, Howard K A. Impact of distance learning using videoconferencing technology on student performance [J]. American Journal of Pharmaceutical Education, 2004, 68(3): 1-6.Google ScholarCross Ref
- Guan Jia, Li Qitao. Development Status, Trends and Experiences of Online Education in China [J]. China Electro-chemical Education, 2014(08): 62-66.Google Scholar
- Sun Li, Cheng Yuxia. Research and Implementation of Online Education Learning Achievement Prediction in Big Data Era–Taking English as an Example of Undergraduate Public Courses[J]. Open Education Research, 2015(3): 74-80.Google Scholar
- Kees J., Tangari A. H. The Impact of Regulatory Focus,Temporal Orientation,and Fit on Consumer Responses to Health-Related Advertising [J]. Journal of Advertising,2010,39( 1) : 19 - 34.Google Scholar
- Heng-Li Yang, Wu,T.C.T.. Knowledge Sharing in an Organization-Share or Not[J]. Technological Forecasting & Social Change, 2008, 75(8): 1128-1156.Google ScholarCross Ref
- Higgins E. T. Beyond Pleasure and Pain: How Motivation Works [M]. London: Oxford University Press,2012.Google Scholar
- Higgins E. T. Making a Good Decision: Value from Fit [J]. American Psychologist,2000,55( 11) : 1217 -1230.Google Scholar
- Roy R. ,Naidoo V. The Impact of Regulatory Focus and Word of Mouth Valence on Search and Experience Attribute Evaluation [J]. European Journal of Marketing,2017,51( 7 /8) : 1353 - 1373.Google Scholar
- Avnet T. ,Higgins E. T. How Regulatory Fit Affects Value in Consumer Choices and Opinions [J]. Journal of Marketing Research,2006,43( 1) : 1 - 10.Google Scholar
- Godes, D., Mayzlin, D.. Using online conversations to study word-of-mouth communication[J]. Marketing science,2004,23(4):545-560.Google Scholar
- Hennig, T.T., Gwinner,K.P., Walsh, G.. Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet?[J].Journal of interactive marketing,2004,18(1): 38-52.Google Scholar
- Duan, W. J., Gu. B., Whinston, A. B.. The dynamics of on⁃ line word-of-mouth and product sales- an empirical investigation of the movie industry[J].Journal of retailing, 2008,84(2):233-242.Google ScholarCross Ref
- Goldsmithre, Horowitzd. Measuring motivations for online opinion seeking[J].Journal of interactive advertising,2006,6(2):1-16.Google Scholar
- HIGGINS E T.Self-discrepancy:a theory relating self and affect[J].Psychological review,1987,94(3):319-340.Google Scholar
- Lockwood P, Jordan C H,Kunda Z. Motivation by positive or negative role models: Regulatory focus determines who will best inspire us[J]. Journal of Personality and Social Psychology,2002,83( 4) : 854 - 864.Google Scholar
- Lee R. Social Sapital and Business and Management: Setting a Re- search Agenda [J]. International Journal of Management Reviews, 2009, 11(3):247 -273Google ScholarCross Ref
Index Terms
- Analysis on the evolution of Global trade space based on SNA
Recommendations
A Space-time Analysis of Global Trade Network Based on SNA
EBIMCS '20: Proceedings of the 2020 3rd International Conference on E-Business, Information Management and Computer ScienceKnowledge and globalization are having a profound impact on the global economic system, and international trade is developing towards networking and complexity. The competition of countries with the level of science and technology and innovation ability ...
Analysis of Value Chain Position Based on SNA International Trade in the Context of Belt and Road
EBIMCS '20: Proceedings of the 2020 3rd International Conference on E-Business, Information Management and Computer ScienceWith the deepening of the construction of "Belt and Road ", the countries along the route have gradually become China's most important trading partners, and the" Belt and Road "economic and trade cooperation network constructed by trade relations has ...
Evolution Analysis of Foreign Trade Network Structructure Based on Complex Network SNA
EBIMCS '19: Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer ScienceSince the 21st century, international trade has developed rapidly, and the complicated trade relations among countries have formed a trade network. We use (SNA), which is based on topology, to analyze the characteristics and influencing factors of China'...
Comments