定性比较分析
弹性(材料科学)
托普西斯
业务
模糊集
产业组织
环境经济学
经济
计算机科学
模糊逻辑
运筹学
工程类
热力学
机器学习
物理
人工智能
作者
Houxue Xia,Jingyao Jiao,Pengcheng Wang,Xiaowei Tang,Chunyan Xiong,Liusan Wu
出处
期刊:Fractal and fractional
[Multidisciplinary Digital Publishing Institute]
日期:2023-12-19
卷期号:8 (1): 2-2
被引量:1
标识
DOI:10.3390/fractalfract8010002
摘要
Over the past few years, the uncertain business environment has shaped the resilient development thinking of firms. Measuring and predicting innovation resilience plays a crucial role in fostering the sustainable development of enterprises. This paper used the entropy-weight TOPSIS model and FGM(1,1) model to measure the innovation resilience of companies based on an indicator system, covering aspects such as tolerance for factor scarcity, R&D safety, core technology self-sufficiency, and organizational change capacity. The results show that the MAPE of the FGM(1,1) model is 0.0136, which is lower than that of the GM(1,1) model, with the predicted annual growth rate of the resilience being −0.95% from 2020 to 2025. Consequently, the study investigated what policy configuration may improve innovation resilience using the fuzzy-set qualitative comparative analysis (fsQCA) model. It identified four policy configuration paths, of which the combination of a tax policy for an additional deduction of enterprise R&D expenses and an income tax reduction policy is an effective policy configuration. This research expands the application of the FGM(1,1) model and inspires managers to develop innovative policies to enhance corporate resilience.
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