Open Access
| Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
|---|---|---|
| Article Number | 02020 | |
| Number of page(s) | 7 | |
| Section | Machine Learning and Energy Industry Structure Forecast Analysis | |
| DOI | https://doi.org/10.1051/e3sconf/202021402020 | |
| Published online | 07 December 2020 | |
- Gilbert Faccarello, and D. Kurz. Heinz, Handbook on the History of Economic Analysis III, Edward Elgar Publishing, 2016. [Google Scholar]
- Porter M., “The five competitive forces that shape strategy, ” Harvard Business Review, Vol. 1, pp. 79-94, 2008. [Google Scholar]
- Porter. M, Competitive advantage: creating and sustaining superior performance, The Free Press, 1985. [Google Scholar]
- Hunt. M, Competition in the Major Home Appliance Industry, Harvard University, 1972. [Google Scholar]
- James Hoyta, and Hugh Sherman, ”Strategic groups, exit barriers and strategy decision constraints in high-tech companies, ” Journal of High Technology Management Research, Vol. 15, pp. 237-247, 2004. [CrossRef] [Google Scholar]
- Michał Pietrzak, and Piotr Pietrzak, “Mapping strategic groups in higher education: Evidence on the Polish technical faculties, ” Journal of Applied Knowledge Management, Vol. 5, pp. 1-15, 2017. [Google Scholar]
- Scott Sonenshein, Kristen Nault, and Otilia Obodaru, “Competition of a different flavor: how a strategic group identity shapes competition and cooperation, ” Administrative Science Quarterly, Vol. 62, pp. 626-656, 2017. [CrossRef] [Google Scholar]
- Moore. F, The Death of Competition: Leadership and Strategy in the Age of Business Ecosystems, New York: Harper Business, 1996. [Google Scholar]
- Xinan Zhao, Chunhong Zhu, and Yanmei Wang, Jingyou Evaluation Theory, Method and Application, Science Publishing House, 2012. [Google Scholar]
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