Keywords
cloud model, large enterprises, strategic entrepreneurship capability, index system, TF-IDF
Abstract
With the rapid development of new technology, enterprise environment has changed enormously and shown the characteristics of turbulence, uncertainty, complexity and ambiguity. In such an environment, enterprises need to sustain competitive advantages and carry out entrepreneurial activities simultaneously. Strategic entrepreneurship can effectively combine these two aspects to meet the diverse needs of customers, respond to market competition, improve organizational performance, and achieve innovation catch-up and sustainable development. To promote strategic entrepreneurship, it is necessary to conduct a scientific and effective evaluation of strategic entrepreneurship capability. However, existing literature mainly focuses on the antecedents, consequences and processes of strategic entrepreneurship, but still lacks empirical researches of strategic entrepreneurship. There is little research on the evaluation of strategic entrepreneurship capability. Current evaluation researches of strategic entrepreneurship mostly adopt the form of questionnaire, which is highly subjective and can’t depict the changing trend of strategic entrepreneurship capability. In addition, in China, the researches on strategic entrepreneurship generally choose the cases or samples of enterprises in economically developed regions, neglecting underdeveloped regions. To fill the gaps of current researches, this paper constructs index system of strategic entrepreneurship capability based on four dimensions (entrepreneurial mindset, strategic resource management, innovation, competitive advantages). After introducing the cloud model and using TF-IDF algorithm to optimize the weighting mode, this paper evaluates strategic entrepreneurship capability of large enterprises through the optimized cloud model. We selected large enterprises of Heilongjiang province as sample because Heilongjiang province is one of typical underdeveloped regions in China and large enterprises have sufficient resource and competence to launch strategic entrepreneurship. We used objective data sources of listed companies in Chinese A-share markets to evaluate strategic entrepreneurship capability. Results show that cloud model has significant advantages in evaluating strategic entrepreneurial capability and characterizing the evolution of strategic entrepreneurial capability. Strategic entrepreneurship capability of most large enterprises in the sample has an upward tendency. The strategic entrepreneurship capability of enterprises with different ownership types shows different evolutionary trends. The strategic entrepreneurship capability of private enterprises continues to enhance, while the capability of state-owned enterprises has weakened to some extent. There are fluctuations in strategic entrepreneurship capability of foreign enterprises. The theoretical contributions of this paperare mainly reflected in three aspects: This paper optimizes the weighting method of cloud model by using TF-IDF and applies optimized cloud model to the evaluation of strategic entrepreneurship capability; On the basis of the existing researches, the evaluation index system of strategic entrepreneurship capability is constructed with four dimensions and thirteen indicators and is verified to be effective by our empirical research; It is found that strategic entrepreneurship capability of large enterprises with different ownership in Heilongjiang province presents different evolutionary changes, which reveals the evolution trend of strategic entrepreneurship capability of large enterprises in less developed regions of China.
DOI
10. 16315 / j. stm. 2024. 06. 002
Recommended Citation
PU, Ming; PEI, Kongfei; and YU, Mingzhi
(2024)
"Research on the evaluation of strategic entrepreneurship capability in large enterprises based on the approach of optimized weighting cloud model,"
Journal of Science and Technology Management: Vol. 26:
Iss.
6, Article 9.
DOI: 10. 16315 / j. stm. 2024. 06. 002
Available at:
https://jstm.researchcommons.org/journal/vol26/iss6/9