Competitive Strategies of Biotechnology Enterprises Based on SWOT Analysis

Liang Gong ()
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Liang Gong: Department of Electronic Commerce, Weihai Ocean Vocational College, Weihai 264300, P. R. China

Journal of Information & Knowledge Management (JIKM), 2025, vol. 24, issue 05, 1-23

Abstract: The purpose of this study is to combine data mining (DM) analysis technology with the SWOT model of biotechnology enterprises in order to uncover key elements in enterprise competition and develop corresponding strategies. To this end, we propose three models: the HyperNet keyword extraction model, the user evaluation enterprise competitive social network model, and the SWOT strategic analysis model. First, we utilise the HyperNet algorithm to extract the integrity of text information, making keyword extraction more effective. Next, the second model utilises DM algorithms to analyse customer evaluations, constructs a company competition graph through social network analysis, and delves into competitors and competitive areas. The research results indicate that products 1-5 are the most core in the entire product group, while the overall value of the latter 10 products is relatively low. Finally, using the SWOT competitive strategies analysis, this paper concludes that three strategies — those are twisting, defensive and advantage defence strategies — should be adopted to deal with the challenges of intensified market competition, high RnD costs, changes in regulations and policies, technological progress and increased production costs.

Keywords: SWOT; biotechnology; competitive strategies; online comments; data mining (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0219649225500431

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