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Academic Journal of Business & Management, 2024, 6(2); doi: 10.25236/AJBM.2024.060223.

Theoretical Model and Evaluation Index Design of Enterprise Innovation Performance under the Fusion of Two Chains

Author(s)

Gao Qinuo

Corresponding Author:
Gao Qinuo
Affiliation(s)

School of Management Engineering and Business, Hebei University of Engineering, Handan, Hebei, China

Abstract

Focusing on the layout of the innovation chain in the industrial chain and deploying the industrial chain around the innovation chain are key to improving enterprise innovation performance. This paper, based on the fusion network of the industrial chain and innovation chain, constructs an evaluation index system of innovation performance for equipment manufacturing enterprises, including three primary indicators and fifteen secondary indicators. The Analytic Hierarchy Process (AHP) is employed to determine the weights of the evaluation indicators. The research finds that the innovation subjects, innovation resources, and innovation environment of the fusion network can all affect enterprise innovation performance. Based on the weights of the evaluation indicators, effective strategies are proposed to enhance enterprise innovation performance.

Keywords

Two chain fusion; Innovation performance; Innovation Ecosystem; AHP

Cite This Paper

Gao Qinuo. Theoretical Model and Evaluation Index Design of Enterprise Innovation Performance under the Fusion of Two Chains. Academic Journal of Business & Management (2024) Vol. 6, Issue 2: 160-166. https://doi.org/10.25236/AJBM.2024.060223.

References

[1] Liu Jingyue, Wu Weixu. Research on the Development Path and Mechanism of Innovation Chain Industry Chain Integration from the Perspective of Industrial Policy: A Case Study of Shenzhen [J]. Science and Technology Management Research, 2022, 42 (15): 106-114.

[2] Kong Xiangnian. Operation Mechanism and Construction Path of Industrial Technology Research Institute Based on the Integration of Innovation Chain and Industry Chain [J]. China University Science and Technology, 2019 (10): 86-89.

[3] Han Jiangbo. Research on the Integration of Innovation Chain and Industrial Chain - Based on Theoretical Logic and Mechanism Design [J]. Technology Economy and Management Research, 2017, (12): 32-36.

[4] Wang Rong. Research on the Coupling Development of Industrial Chain and Innovation Chain from the Perspective of Factors [J]. Modernization of Management, 2021, 41 (6): 12-14.

[5] Zheng Jiliang, Song Shuya. Research on the Impact Mechanism of Digital Investment on Innovation Performance of Aviation Equipment Manufacturing Enterprises [J]. Science and Technology Management Research, 2022, 42 (19): 118-127.

[6] Zhang Peng, Zhou Enyi, Liu Qilei. Measurement of Digital Transformation Level of Equipment Manufacturing Enterprises: An Empirical Study Based on Shaanxi Province Survey Data [J]. Science and Technology Progress and Countermeasures, 2022, 39 (07): 64-72.

[7] Zhang Yueyue, Wang Xiaoping, Feng Renguang. Implementation mechanism of leapfrog upgrading in Chinese equipment manufacturing enterprises: logic and path of digital technology empowerment [J]. Science and Technology Progress and Countermeasures, 2023, 40 (24): 92-100.

[8] Meng Fansheng, Xu Ye, Zhao Gang Research on the Intelligent Upgrading Process and Impact Mechanism of New Energy Equipment Manufacturing Enterprises under the Background of Industry 4.0 [J]. Management Review, 2022, 34 (07): 326-338.

[9] Wu Lei, Zhong Yichun, Lin Chaoran. Research on the Selection of Digital Collaborative Innovation R&D Model for Industry University Research in Equipment Manufacturing Industry [J]. Journal of Harbin Engineering University, 2023, 44 (06): 1081-1088.

[10] Yang Jin, Yang Min. Dual Strategy, Institutional Support, and Disruptive Innovation in Equipment Manufacturing Enterprises [J]. Scientific Research Management, 2023, 44 (11): 74-84.

[11] Wang Xiaoling, Kang Xudong. Research on interdisciplinary scientific research collaboration mechanism based on grounded theory: Taking China's major equipment manufacturing as an example [J/OL]. Technological progress and countermeasures: 1-10 [2024-02-13].

[12] Zou Chunyan. Overview of Research on Industrial Chain Theory at Home and Abroad [J]. Changjiang Forum, 2011 (03): 53-56.

[13] Wang Chao, Wu Huawei, Zhao Yanqing, et al. Research on the Analysis Model of Knowledge Content Diffusion Intensity Based on the Whole Innovation Process [J]. Intelligence Theory and Practice, 2018, 41 (10): 137-142+65.

[14] Liu Hongjiu, Hu Yanrong, Ma Weimin. Research on the Relationship between the Suitability of Regional Innovation Ecosystems and Economic Development [J]. China Management Science, 2013, 21 (S2): 764-770.

[15] BUESA M, HEIJS J, BAUMERT T. The determinants of regional innovation in Europe: a combined factor and regression knowledge production function approach [J]. Research policy, 2010, 39 (6): 722-735.

[16] Gao Yuejiao, Wu Hecheng. Research on the Impact of Innovation Entities and Their Interactions on Regional Innovation Capability [J]. Scientific Research Management, 2015, 36 (10): 51-57.

[17] Bai Junhong, Jiang Fuxin. Collaborative innovation, spatial correlation, and regional innovation performance [J]. Economic Research, 2015, 50 (07): 174-187.

[18] Ou Zhonghui, Zhu Zuping, Xia Min, et al. Model and simulation research on symbiotic evolution of innovative ecosystems [J]. Scientific Research Management, 2017, 38 (12): 49-57.

[19] Wang Feihang, Ben Lianchang. Research on the Path of Improving Regional Innovation Performance from the Perspective of Innovation Ecosystem [J]. China Science and Technology Forum, 2021 (03): 154-163.