信息化战略认知与建设行为对制造企业智能化转型的影响

为揭示信息化对制造企业智能化转型影响的黑箱，基于中石化智能化转型案例与文献分析，从认知逻辑与行为逻辑双视角，提出信息化战略认知与信息化建设行为分别通过知识偏好、技术创新对制造企业智能化转型产生积极影响的理论假设。结合逐步回归法与Bootstrap法综合验证了其完全中介效应的存在，并通过调节作用检验证实了技术人才丰富的制造企业其信息化建设行为对技术创新的促进作用更显著；通过稳健性检验一方面证实了结论可靠性，另一方面也表明机械设备制造企业技术创新对智能化转型的作用更显著。因此，制造企业尤其是具有高技术要求的制造企业，需重视技术人才培养，通过信息化发展促进企业形成知识偏好，加强技术创新，推进智能化转型。

Research on the Impact of Informatization Strategic Recognition and Construction Behavior on Intelligent Transformation of Manufacturing Enterprises

The continuous integration of informatization and industrialization has brought a new strategic direction for manufacturing enterprises. China has put forward the development goal of initially realizing the intelligent transformation of manufacturing enterprises by 2025. Intelligent transformation has become the developing focus for manufacturing enterprises in recent years. Informatization is the basis of intelligence, and the level of enterprise informatization affects its intelligent transformation process. Therefore, it is of great significance to study the impact of informatization on the intelligent transformation process of manufacturing enterprises.#br#The implementation of enterprise strategy is affected by organizational recognition and organizational behavior, but at present most of related studies are about the impact of informatization on the intelligent transformation of manufacturing enterprises from the behavioral level. Scholars propose that the informatization construction behaviors such as information equipment investment will promote the intelligent development of manufacturing enterprises, ignoring the role of enterprise recognition. Moreover, many scholars have proposed that technology, knowledge and talents are the main factors affecting the development of intelligence, and they play an important role in intelligent transformation of manufacturing enterprises. Therefore, differing from the previous researches which are from the perspective of single behavior, this paper starts from the dual perspectives of informatization strategic recognition and construction behavior, and comprehensively considers the impact of informatization, knowledge, technology and talents on intelligent transformation, and meanwhile brings knowledge preference, technological innovation and technical talents into one analysis framework, and according establishes the theoretical hypothesis model, so as to reveal the black box of informatization influence on intelligent transformation of manufacturing enterprises.#br#This paper puts forward 10 research hypotheses, selects 202 manufacturing enterprises as research samples, and uses the method of regression analysis to calculate the model. Taking founding time of enterprise, personnel scale and asset scale as control variables, knowledge preference and technological innovation as mediating variables and technical talents as adjustment variable, a linear regression model is established to test the relationship between informatization strategic recognition, construction behavior and intelligent transformation. Among the 10 hypotheses, 9 of them are valid. The research shows that the informatization strategy recognition and construction behavior have a positive impact on intelligent transformation, and the promotion of construction behavior is more significant. And informatization does not directly promote the intelligent transformation of manufacturing enterprises. Knowledge preference and technological innovation play a mediating role. Technical talents play a positive adjustment role in informatization construction behavior and technological innovation. From the dual perspective, the informatization strategic recognition and construction behavior indirectly affect the intelligent transformation of manufacturing enterprises through positive influence on knowledge preference and technological innovation。 The effect of informatization construction behavior on technological innovation is more obvious under the high level of technical talents. In addition, in view of different characteristics of enterprise, we make the comparison between mechanical equipment manufacturing and information & electronic equipment manufacturing. We use the method of sample grouping regression to analyze the two types of manufacturing enterprises respectively and group the sample data for robustness test. On the one hand, it confirms the reliability of the conclusion. On the other hand, it also shows that compared with information and electronic equipment manufacturing enterprises, the technological innovation of mechanical equipment manufacturing enterprises has a greater impact on intelligent transformation.#br#Therefore, the key to promoting intelligent transformation is to organically combine the informatization of manufacturing enterprises with knowledge and technical activities. Based on informatization, manufacturing enterprises should pay full attention to the role of knowledge preference and technological innovation in the process of intelligent transformation, and form a knowledge preference and technological innovation system for intelligent transformation. From the cognitive logic level, enterprises should accelerate the formation of a unified informatization strategic recognition, further improve the tendency of employees to actively participate in knowledge activities, and form the knowledge preference of manufacturing enterprises, and then provide sufficient knowledge reserves for the intelligent transformation of manufacturing enterprises. At the behavioral logic level, manufacturing enterprises should accelerate the investment in information construction to improve the quality of technological innovation through rapid and comprehensive information analysis. Based on the achievements of intelligent technology innovation,the intelligent transformation of enterprises should be accelerated. This study reveals the influence process of informatization on the intelligent transformation of manufacturing enterprises from two perspectives, which has important theoretical value and practical guiding significance for the intelligent transformation of manufacturing enterprises.#br#