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Research on the Impact of Business Model Innovation on Enterprise Performance Based on SPSS Multivariate Linear Regression Analysis

In: Economic Management and Big Data Application Proceedings of the 3rd International Conference

Author

Listed:
  • Rongyan Jia
  • Xingyu Shen

Abstract

This paper uses the questionnaire data as samples and the SPSS multivariate linear regression method is used to establish an ANOVA model of business model innovation (BMI for short), enterprise performance and environmental uncertainty, and obtain the multivariate linear regression relationship of the three. The results show that BMI and its two dimensions can well promote the improvement of enterprise performance. Market uncertainty and competitive uncertainty positively regulate the relationship between BMI and enterprise performance, while technological uncertainty has a positive effect on BMI. There is no moderating effect on the relationship with enterprise performance.

Suggested Citation

  • Rongyan Jia & Xingyu Shen, 2024. "Research on the Impact of Business Model Innovation on Enterprise Performance Based on SPSS Multivariate Linear Regression Analysis," World Scientific Book Chapters, in: Sikandar Ali Qalati (ed.), Economic Management and Big Data Application Proceedings of the 3rd International Conference, chapter 70, pages 792-800, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789811270277_0070
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    More about this item

    Keywords

    Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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