路径依赖视角下先进制造业数字化转型组态路径研究

基于演化经济地理学领域的路径依赖理论、路径突破理论和区域产业演化路径模型，构建先进制造业发展路径模型，结合TOE理论框架，从组态视角构建先进制造业数字化转型驱动因素模型，运用模糊集定性比较分析法对收集汇总的27份先进制造企业数据进行分析，应用先进制造业发展路径模型，从路径依赖视角探讨组态路径检验结果。研究表明，各维度任意单一前因条件均不能单独促成先进制造企业数字化转型；技术关联度和环境适应度在先进制造企业数字化转型过程中起重要作用；与其它类型路径相比，突破型组态路径更有可能实现先进制造企业数字化转型，依赖型组态路径并不能促进先进制造企业数字化转型的实现。

The Configuration Path of Digital Transformation of Advanced Manufacturing Industry from the Perspective of Path Dependence

Chinese entities are taking digital transformation as a means to promote their high-quality development. More and more companies have discovered in their production practices that the traditional path cannot well guide their companies to achieve high-level development in digital economy. Path dependence issues are widespread in the evolution of China's regional industries. Some scholars have found that path-dependent new industries accounted for about 70% of the total number of new industries from 2000 to 2016. In digital economy, China's advanced manufacturing companies have a strong willingness for transformation. However, due to the widespread path dependence and innovation burnout among companies, it is difficult for digital technology to be organically integrated into advanced manufacturing companies in a short period of time. The role of high-quality transformation and upgrading of the manufacturing industry is not obvious. Moreover, there are huge differences in the production capacity, technical level, and number of employees between enterprises. The results obtained through a single-path study are difficult to distinguish on the issue of path dependence, and the conclusions cannot well guide China's advanced manufacturing enterprises which have realized digital transformation. Therefore, this research regards the digital transformation of the manufacturing industry as a process in which the manufacturing industry applies digital technology to promote its own high-quality development, i.e. the organic integration of manufacturing and digital technology. This study combines the "Technology-Organization-Environment" (TOE) theoretical framework suitable for studying the transfer of emerging technologies and the regional industrial development paths model for distinguishing path types. The case samples are 27 advanced manufacturing companies in China, and the fuzzy set qualitative comparative analysis method (QCA)is used to explore the digital technology transition, management mode change and other pre-factors to promote the digital transformation of advanced manufacturing configuration path, with the aim to open the "black box" of digital transformation of advanced manufacturing and provide guidance for digital transformation of other manufacturing enterprises.#br#This research combines path dependence theory, configuration perspective, TOE theoretical framework, and existing research, combined with the specific context of digital transformation of China's advanced manufacturing industry, under the premise of comprehensive consideration of research samples, research methods, research feasibility and other factors, determine the conditional variables that drive the digital transformation of advanced manufacturing from the three aspects of technology, organization and environment. Based on the path dependence theory, path breakthrough theory and regional industrial development paths model in the field of evolutionary economic geography, the advanced manufacturing development paths model is constructed, combined with the TOE theoretical framework, the driving factors model of digital transformation of advanced manufacturing is constructed from the configuration perspective. Use the fuzzy set qualitative comparative analysis method to analyze the 27 pieces of advanced manufacturing enterprise data, and rely on the advanced manufacturing development paths model to explore the configuration path inspection results from the path dependence perspective.#br#It is found that firstly any single antecedent condition in each dimension cannot constitute a necessary condition on its own for the digital transformation of advanced manufacturing, antecedent conditions need to be matched through configuration to promote the digital transformation of advanced manufacturing. The research results show that although the transition of digital technology and the change of management mode are the core conditions in the digital transformation configuration path of advanced manufacturing, a single precondition cannot well guide advanced manufacturing to realize digital transformation. It is found that the multi-factor combination-driven strategy is obviously better than the single-factor-driven strategy. Secondly, advanced manufacturing needs to focus on the technological relevance and environmental adaptability of micro-enterprises indigital transformation. The presence of digital technology transitions, management model changes, and corporate competitive pressures has repeatedly served as the core conditions, and the combination of digital technology transitions and management model changes can play the greatest role. Judging from the results of guiding the digital transformation of advanced manufacturing, the multi-factor combination driving strategy of low technological relevance and high environmental adaptability has a higher probability of achieving digital transformation of advanced manufacturing compared with other strategies. Finally, the path-breakthrough configuration path is more likely to realize the digital transformation of the advanced manufacturing industry than other types of paths, and the path-dependent configuration path cannot promote the realization of the digital transformation of the advanced manufacturing industry. This research collects relevant data in the form of questionnaires, which may cause common methodological deviations, panel data can be used to carry out empirical research in the future.#br#