The importance of innovation in leading economic development and promoting industrial transformation is increasingly prominent. It is difficult for enterprises to ensure continuous management innovation activities by relying on their limited resources, so boundary-spanning search activities to obtain external knowledge and information are increasingly valued by enterprises. This paper studies the management innovation activities of enterprises from the perspective of boundary-spanning search, clarifies the role mechanism of boundary-spanning search to management innovation, and provides new solutions for enterprises to carry out management innovation activities. #br#Boundary-spanning search plays an important role in management innovation activities, but it is not a direct factor in management innovation. Social cognitive theory suggests that innovation behavior is influenced by cognitive factors, and companies with high cognitive flexibility will make adjustment after receiving external knowledge and information, which in turn will have an impact on management innovation activities of the company. Therefore, this paper argues that cognitive flexibility, as an important factor to promote enterprise growth, plays a "top-down" role in the process of boundary-spanning search for management innovation. In addition, higher absorptive capacity has a beneficial effect on knowledge application and technology transformation, and the resources such as knowledge and information obtained through boundary-spanning search can be better utilized and integrated in practice. Therefore, through the integration, absorption and utilization of resources such as knowledge and information, the absorptive capacity of enterprises can be improved to better catalyze boundary-spanning search to generate new strategies and solutions for cognitive flexibility in response to environmental changes and lay the foundation for enterprise management innovation activities. Based on this, this paper incorporates absorptive capacity into the research framework, which helps to explain the mechanism underlying the process of boundary-spanning search to cognitive flexibility. As shown above, this paper explores the influence mechanism of cognitive flexibility and management innovation from the perspective of boundary-spanning search based on open innovation theory, and collects 287 sample data for empirical study.#br#The results show that technology-driven boundary-spanning search and market-driven boundary-spanning search have positive effects on both exploratory and exploitative management innovation; cognitive flexibility has a mediating effect between boundary-spanning search and management innovation; and absorptive capacity positively moderates the relationship between technology-driven boundary-spanning search and market-driven boundary-spanning search and cognitive flexibility. In addition, we further examine the similarities and differences between large enterprises and small enterprises in terms of boundary-spanning search and absorptive capacity by grouping enterprises according to their size. Through grouping regressions, we find that technology-driven boundary-spanning search is relatively stronger in large and medium-sized firms, and market-driven boundary-spanning search is relatively stronger in small and medium-sized firms. Absorptive capacity has a moderating effect between technology-driven boundary-spanning search and cognitive flexibility in large and medium-sized enterprises, but no moderating effect is found in micro and small enterprises.#br#Based on the logic of knowledge-cognition-innovation, this paper investigates the influence mechanism on cognitive flexibility and managerial innovation from the perspective of boundary-spanning search and draws some contributions. Firstly, management innovation is a relatively new concept in the field of innovation. This study introduces dual theory into the field of management innovation, describes the characteristics of management innovation more systematically, and studies the dual innovation activities of enterprises from the perspective of boundary-spanning search, which provides a new way of thinking for the research of management innovation. Secondly, based on open innovation theory, this paper investigates the influence mechanism on management innovation from the perspective of boundary-spanning search based on the theoretical framework of "boundary-spanning search-cognitive flexibility-management innovation". Specifically, this paper classifies the dimensions of boundary-spanning search based on the difference of knowledge specialization, and verifies the positive influence of boundary-spanning search on management innovation from two aspects of technology-driven and market-driven boundary-spanning search, which enriches the research on the driving factors of management innovation. This study introduces dual theory into the field of management innovation, and studies the dual innovation activities of enterprises from the perspective of boundary-spanning search, which provides a new way of thinking for the research of management innovation. It verifies the positive influence of boundary-spanning search on management innovation from two aspects of technology-driven and market-driven boundary-spanning search and enriches the research on the driving factors of management innovation. Lastly this study introduces absorptive capacity as a moderating variable, and empirically tests that absorptive capacity can optimize the output effect of boundary-spanning search. Therefore it breaks the original thinking stereotypes and clarifies the specific mechanism of boundary-spanning search to promote cognitive flexibility.#br#

In recent years, scientific and technological governance in the construction of digital society has attracted the attention of many scholars, but most of them are relatively scattered when analyzing the problems and there is no systematic science and technology governance system. The construction of science and technology governance system and the improvement of science and technology governance ability are affected by various factors. China is in the process of building a digital society. The emergence of new technologies and new business modes such as big data, artificial intelligence and blockchain shows that there has been a qualitative leap in information science and technology development, and the resulting social contradictions are gradually diversified and complicated. Social governance are full of twists and turns, presenting the characteristics of complexity and modernity. In the era of digital age, it is the due meaning of realizing the modernization of national governance system and promoting governance ability by the innovative development of scientific and technological governance system. The construction of digital society is the inevitable requirement of the times, and the construction of scientific and technological governance system has become an urgent problem accordingly.#br#At the requirements of "responding to the rule of law" and the social demand for law, this paper re-examines the defects of the existing legal system. Aiming to realize the practice of science and technology governance by improving the relevant legislation of science and technology governance procedures and mechanisms, it analyzes a series of problems existing in science and technology governance in digital society construction of China at the present stage, such as the absence of scientific and technological governance supervision, the single scope of power subjects, the conflict with the protection of individual rights in scientific and technological innovation and development, and the unclear authority among various governance subjects. This paper puts forward corresponding countermeasures and suggestions from four aspects: supervision, subject, right and power. On the regulatory level,the joint role of legal supervision and social supervision should be strengthened and the external regulatory role of news media, individual citizens and social organizations should be given full play. On the subject level, a collaborative governance model of all parties should be established and the two forms of "government rule" and "expert rule" in science and technology governance should be abandoned. A collaborative governance model of all parties could be built to encourage the public to participate in science and technology evaluation and decision-making, so as to make science and technology research and innovation move towards a new model of democratic governance. On the right level, the right attribute of personal data in the construction of digital society should be defined so that the conflicts between the development of scientific and technological innovation and the protection of personal rights can be solved. On the power level, the governance subjects should be empowered. If the division of power and responsibility among government departments, scientific research experts and the public in the practice of science and technology governance is clarified and the boundary of governance behavior authority between governance subjects is clear, excessive or inadequate government power can be avoided, which shall promote the realization of science and technology governance objectives.#br#Based on the concept of responsive rule of law, this paper realizes the construction of response rule of law system for science and technology governance in digital society. The research findings of this paper have guiding significance for the practice of rule of law in China. Firstly, the research on science and technology governance at present is still in an initial stage. The research countermeasures of this paper provides the direction for the systematic construction of science and technology governance. Secondly, it provides specific solutions for the practice of science and technology governance. With the innovation and development of science and technology, we need to constantly improve and adjust the governance system and science and technology governance measures, and finally achieve the goal of improving the overall governance efficiency.#br#

The core position of innovation in the modernization drive is stressed in theFourteenth Five-Year Plan. At present, China's scientific and technological innovation capabilities are constantly improving, but the contribution rate of scientific and technological progress is still far from being satisfactory. There are still many obstacles in the deep integration of science and technology and the economy, and the path of innovation leads economic development has not been realized. In order to achieve the goal of science and technology, industry and economy powerhouse, it has become a common concern of the government and academia of how to further promote the deep integration of science and technology and economy, and achieve innovation-led economic development.#br#　Entrepreneurial incubation is an important link in promoting innovation to lead economic development, and it is the infrastructure for a new round of industrial transformation. The existing system is significantly incompatible with the needs of scientific and technological entrepreneurship, and the entrepreneurial incubation ecosystem has not yet been formed. It is necessary to adhere to the "two-wheel drive" of scientific and technological innovation and institutional innovation, remove the institutional and mechanisms obstacles that refrain scientific and technological innovation, and to activate the new engine of innovation at full speed. Existing economic theories have affirmed the important role of science and technology in promoting economic growth and proved the significance of entrepreneurship in promoting economic development. But it is inconsistent and inconclusive about the concepts, accurate measurement methods and the mechanism by which entrepreneurial incubation promotes the integration of technology and economy.#br#　Focusing on the path of entrepreneurial incubation to promote innovation and lead economic development, first, the contribution rate of scientific and technological progress is decomposed into four items: technological progress rate, technical efficiency, allocation efficiency and scale efficiency. Combined with the influence of entrepreneurial incubation, the latter three are selected as the measure of innovation leading indicators of economic development. Based on the model derivation, the mechanism of entrepreneurial incubation to promote innovation and lead economic development is proposed as follows. Resource integration of incubators improves the allocation efficiency through Pareto improvement, incubation investment improves scale efficiency through income effect, and technical service improves technical efficiency through substitution effect. #br#　Based on China's provincial panel data from 2010 to 2019, the Bootstrap method under the mixed effects assumption, the stepwise regression method under the random/fixed effects assumption, and the sobel test are used to test the mediating effect of entrepreneurial incubation on allocation efficiency, scale efficiency, and technical efficiency. The research results show that the number of incubators, humanity input, venture capital and technical services have obvious mediating effects on allocation efficiency, scale efficiency and technical efficiency. Entrepreneurial incubation promotes the process of innovation leading economic development through the path of innovation industrialization. Therefore, it is proposed to expand the scale of the incubator through a platform-based and networked approach to improve the allocation efficiency, optimize the "join in—transfer—exit" system of entrepreneurial incubation funds to improve scale efficiency and build an "Incubator 4.0" model of maker space to improve technology efficiency policy recommendations.#br#　The innovations of this paper are presented in the following. First, for the quantification of innovation-led economic development indicators, most of the indicators for measuring the contribution rate of science and technology economy in the existing literature are total factor productivity, and few research focus on the influencing factors and mechanism. Based on the decomposition of the contribution rate of scientific and technological progress, this paper quantifies the index of innovation leading economic development into allocation efficiency, scale efficiency and technical efficiency, focusing on the role of entrepreneurial incubation in improving efficiency, and constructing entrepreneurial incubation to promote innovation leads economic development. The analysis framework and mechanism take the scale of business incubation as the core research variable, and builds a mediating effect model with the number of business incubators, the investment of business incubators, the amount of venture capital, and the number of technical services as the mediating variables. Second, a variety of elements and the integration of technology and economy are analyzed in the same framework, forming a business incubation analysis framework around "startup nursery (maker space) + incubator (professional incubator) + accelerator (startup incubation capital)" to explore the realization of new entrepreneurial incubation, the logical process and internal mechanism of industry formation and economic growth.#br#

Environmental regulation, green technological progress and green economic development are the important theoretical and practical issues in the Yangtze River Economic Belt. Existing studies have shown that environmental regulation and green technological progress are important factors affecting the development of green economy, but there are many disputes and no clear conclusions in the academic circles about their mechanism and relationship. With the development of the Yangtze River Economic Belt becoming a national strategy, green development has been determined as the main tone, and the extensive economic growth model with high emission, high pollution and high investment is unsustainable. Therefore, scientifically clarification of the relationship between environmental regulation, green technological progress and green economic development is the basic issue to realizing green development in the Yangtze River Economic Belt, and the research on this issue needs to be further strengthened.#br#　　Based on the identification of the mechanism of environmental regulation, green technological progress and green economic development, this paper uses the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 2005 to 2019, constructs a PVAR model to test their mutual relationship, and introduces impulse response function to construct the response model of environmental regulation, green technological progress and green economic development, and analyzes the role and influence degree of the three from the static and dynamic perspectives. The advantage of this method is that it combines the advantages of time series analysis and panel data analysis, and can control the unobservable individual effects and time effects caused by spatial changes. More importantly, it can intuitively display the dynamic response of the three in the face of impact. It can clearly describe the conduction mechanism caused by various shocks and observe the relative importance of each random disturbance term that affects the variable.#br#　　The empirical analysis results show that environmental regulation has a long-term positive effect on the progress of green technological progress and the development of green economy. And green technology progress has a long-term positive promoting effect on environmental regulation, a short-term inhibiting effect and a long-term positive promoting effect on the development of green economy, and green technological progress has a strong impact on environmental regulation and green economic development. The development of green economy has a long-term positive role in promoting environmental regulation and green technological progress, but its contribution to both is small. At the same time, the research also shows that the promotion of environmental regulation and green technological progress on the green economic development is a dynamic process that gradually increases, and will gradually become an important driving force for the development of green economy. Therefore, the study believes that the relationship between environmental regulation, green technological progress and green economic development is relatively complex in the short term, and will form a benign interaction that promotes each other in the long run, and can realize the self-reinforcing effect among various variables. #br#　　The possible innovations of this paper are as follows. First, this study constructs a new analytical framework, that is, with the help of PVAR model, environmental regulation, green technological progress and green economic development are placed in the same analytical framework, and the three are regarded as the endogenous variables. Second, this study expands the selection of indicators in the current study, that is, it sets up relevant indicators in the design of environmental regulation indicators to investigate their indirect effects, highlights the green bias and regional integrity in the calculation of green technological progress indicators, and uses the green total factor productivity considering environmental efficiency in the measurement of green economic development. Third, this study breaks through the limitations of single dimension and static research, that is, it studies the relationship and role between environmental regulation, green technological progress and green economic development from a two-way and dynamic perspective, and carries out Granger causality two-way test and dynamic impulse response analysis between the three, and clearly shows the trend and function degree of the short-term and long-term relationship between the three.#br#

As a fusion agent of digital economy and real economy, digital technology, in the form of big data, artificial intelligence and industrial Internet, has pushed global development into a new era characterized by data-driven and intelligent development, and has inspired more and more equipment manufacturing enterprises to start digital transformation and upgrading. With the development of digital economy, many scholars have studied the relationship between digital technology and manufacturing enterprises, mainly including industrial digitalization and digital industrialization, digital technology promotion of the transformation and upgradation of manufacturing enterprises, and measurement of the integration level of digital technology and manufacturing enterprises.#br#Firstly, the digital transformation mechanism is analyzed from two aspects: the external environment and internal manifestation faced by equipment manufacturing enterprises. The external environment mainly includes government regulations, the increasingly fierce competition among enterprises, the increasing personalized needs of users and the rapid development of digital technologies such as big data, artificial intelligence, cloud computing and 5G technology. Internal factors mainly include four aspects: modernization of enterprise management mode, digitization of product life cycle process, enrichment of digital products and flattening of enterprise organization structure. There is a steady exchange of information between external environment and digital transformation of equipment manufacturing enterprises, thus forming a benign ecosystem. In this ecosystem, the interaction of internal and external factors constructs the digital transformation mechanism and promotes the digital transformation process of equipment manufacturing enterprises.#br#According to the internal mechanism of the digital transformation of equipment manufacturing enterprises and the measurement standard of the transformation level, this paper studied the digital transformation of equipment manufacturing enterprises from the four dimensions of management mode reform, organizational structure reorganization, intelligent production process and service mode innovation by the methods of literature review, brainstorming, in-depth investigation and interview, and put forward the 12 first-level indicators and 23 second-level indicators and constructed the evaluation index system of digital transformation of equipment manufacturing enterprises. In order to further optimize the index structure, with the evaluation index of digital transformation of equipment manufacturing enterprises, this paper uses Delphi method to solicit the opinions and suggestions of experts and scholars again, and finally 9 first-class indexes and 17 second-class indexes were optimized as the measurement index system of digital transformation of equipment manufacturing enterprises.#br#After the establishment of the evaluation index system, 28 equipment manufacturing enterprises above designated scale in Shaanxi Province were randomly selected for questionnaire investigation. A total of 560 questionnaires were distributed and 412 valid questionnaires were recovered, with an effective recovery rate of 73.6%. The reliability and validity of the survey data was the data support of the research,and the TOPSIS evaluation method of entropy weight and factor analysis were used to measure and analyze the level of digital transformation.#br#The empirical results show that the overall level of digital transformation of equipment manufacturing enterprises in Shaanxi is not high, and the transformation speed is slow. According to the research results, the ways to speed up the digital transformation and upgrading of equipment manufacturing enterprises in Shaanxi are put forward from four aspects: increasing government policy guidance and capital investment, accelerating the infrastructure construction of digital transformation of enterprises, improving the introduction and training system of digital transformation talents and promoting the collaborative innovation and development of industrial chain.#br#

Digital economy is highly stressed and it was required to "promote digital industrialization and industrial digitization, promote the deep integration of the digital economy and the substantial economy, and create an internationally competitive digital industry cluster". The third-line military enterprises are a group of national defense industry scientific research and production units that have been relocated to the central and western regions. They have improved national productivity pattern and promoted the economic development of the central and western regions. The research on the digital transformation of the third-tier military enterprises can fundamentally improve the level of national digital economy and contribute to the successful implementation of the Western Development Strategy. #br#This paper adopts the qualitative comparative analysis (QCA) method. The sample size of this study is moderate, and the cases cover various third-tier military enterprises. Considering that there may be multiple equivalent combinations to achieve transformation paths in the research process, this study takes the qualitative comparative analysis method (fsQCA) of fuzzy sets. Qualitative comparative analysis (QCA) case selection follows the two basic principles of "maximum similarity" and "maximum difference", so researchers are required to select typical and representative case samples. The case companies in this article are selected from the list of "Typical Cases of Digital Transformation of State-owned Enterprises in 2020" and "Science and Technology Reform Demonstration Enterprises" issued by the State-owned Assets Supervision and Administration Commission of the State Council. A total of 41 representative cases related to third-tier military enterprises were selected. The selection of cases follows the following principles. First, the case enterprises are related to the third-tier military enterprises, and the enterprises themselves are developed from the third-tier military enterprises, or merged, reorganized or newly built enterprises with the attributes of the third-tier military enterprises. Second, the case companies should have made many attempts in digital transformation, and have reference value after the representative research of the region or industry. Third, enterprises are in different positions in the industry, with enterprise cases of different technical degrees. Fourth, according to the innovation and entrepreneurship index, case companies with relatively large environmental differences are selected. The innovation and entrepreneurship index is derived from the China Innovation and Entrepreneurship Regional Index.#br#The digital transformation framework is established based on the collected data and theory, and the anchor points required for data calibration are obtained by preprocessing the data. First we calibrate the data according to the selected anchor point, convert the data into a membership score between 0 and 1, and convert it into a set concept required for software analysis; then we perform a necessary condition analysis to test whether the result set is a set of conditions. It is found that each antecedent variable cannot be considered as a necessary condition to promote the success of digital transformation of third-tier military enterprises, and each enterprise has its own way of promoting the success of digital transformation. Therefore, the five antecedent variables are all third-tier military enterprises. It is a non-essential condition for the digital transformation of military enterprises. Finally, the configuration analysis is carried out. This paper determines that the consistency threshold is 0.75, and the frequency threshold is 1. The truth table analysis in QCA software is used to analyze the data, and enterprises’ names are used to display the combined results to obtain the true value. We generate complex solutions, intermediate solutions and simple solutions through standard analysis, combine the simple solutions and intermediate solutions to classify the conditions and build a conditional configuration analysis table.#br#From the comprehensive analysis of the results of the intermediate solutions and simple solutions, it is found that under different combinations of conditions there are five paths realizing the digital transformation of third-tier military enterprises.#br#This paper summarizes three types of digital transformation paths for third-tier military industrial enterprises from the five paths: front, middle, and rear industry transformation paths, digital platform transformation paths, and product service transformation paths. From the micro-level influencing factors and actual cases, it analyzes how the third-tier military enterprises choose the digital transformation path in specific situations, and puts forward countermeasures and suggestions from the aspects of top-level design, organizational system, industry standards and business model innovation according to the actual situation of the case. The study enriches the research on the digital transformation path of China's third-line military enterprises in the digital economy.#br#

Technological innovation is one of the keys to manufacturing capacity development and it requires reasonable innovation strategy. The key is to choose appropriate technology sources. The technical characteristics of different manufacturing segments vary, and there is not a universal technology innovation strategy suitable for all manufacturing industries.#br#Although theoretically there are multiple sources of technology, in practice homogenization of technology prevails due to the pursuit of innovation quantity or the dependence on innovation path, which is mainly manifested by the abuse of R&D investment and strict external technology control leading to the waste of innovation resources and low-quality innovation. Hence there is great optimization need of the current technology source selection method. This paper focuses on the impact of different technology sources on industry technological innovation from the perspective of technology level, and distinguishes technological innovation indicators such as patents, invention patents and new product sales revenue to provide valuable reference for manufacturing industry.#br#This paper takes the balanced panel data of manufacturing industry segments from 2003 to 2019 to empirically test the heterogeneous effects of different technology sources on technological innovation in industries with different technology levels. As the manufacturing industry segments experienced three changes in 2002, 2011 and 2017, in order to ensure the consistency of statistical caliber, this paper merges and adjusts the data of manufacturing industry segments according to the approximation of the industries and the way of changes, so that the adjusted industry technology level does not cause drastic fluctuations, and finally gets 28 manufacturing industry segments with a total of 476 samples. The manufacturing industry segments are classified into high-tech industry group and the rest into medium and low-tech industry group, meanwhile, with reference to the study of Yuanhai Fu et al. (2014), the manufacturing segments are divided into high, medium and low technology industry for robustness testing.#br#It is found that firstly the effects of different technology sources on the overall output level of patents vary, among which the promotion effect of independent research and development is the most prominent, and the innovation incentive effect is more significant in industries with higher technology level. Secondly, for substantive innovation represented by invention patents, the incentive effect of technology introduction is better than that of independent R&D in high-tech industries because it can complement the key aspects of innovation and avoid R&D risks, while the opposite is true in non-high-tech industries. At the same time, domestic technology purchase has a dampening effect on invention patents, especially in high-tech industries, suggesting that domestic technology flow does not promote the quality of innovation in the industry, but rather hinders the iteration of advanced technologies. Finally, for the economic benefit of technological innovation characterized by new product sales revenue, foreign technology introduction and domestic technology purchase inhibit its growth, while technological transformation and independent R&D promote its growth due to the low absorption efficiency and high degree of domestic technology homogenization, and the corresponding effects are more significant in low-tech industries.#br#The contribution of this paper lies in the following aspects. Firstly, this paper analyzes the heterogeneous effects of technology sources on industry technological innovation in industries with different technology levels. Secondly, it distinguishes between patents and invention patents to examine the heterogeneous effects of technology sources on technological innovation at different levels, and further analyzes the reasons for the coexistence of high R&D investment and low quality innovation. Finally, based on the heterogeneous influence of technology sources on industry technological innovation, it analyzes technology sources which should be adopted by different oriented manufacturing segments and propose technological innovation strategies.#br#This paper suggests to firmly regard independent R&D as the main source of technological progress, and strengthen the examination of patent quality to avoid low-quality innovation. Secondly, we should balance technology introduction and independent R&D and seek cooperative innovation to make up for the disadvantage of independent R&D. Finally, we need to develop innovation strategies oriented to innovation objectives such as market effectiveness or core competencies to apply innovation resources effectively.#br#

A fundamental issue in the field of strategic management is the impact of corporate strategy which is discussed by a large number of theoretical and empirical studies.Some studies divide corporate strategy types into attack strategy, analyzer strategy, and defender strategy, and extensively discuss the impact of strategic differences on corporate cash flow, earnings management, over-investment, and so on.It also extends the concept of "strategic radicalization".Attack strategy has the highest strategic radicalization, followed by analyzer strategy, and defender strategy has the lowest.However, we find that few scholars study the impact of strategic radicalization on enterprise innovation.This has provided us with impetus to carry out research.This study mainly discusses the impact of strategic radicalization on technological distance and the boundary of its effect.Technological distance refers to the technological gap between a company and its frontier company in the industry.Compared with the traditional innovation performance measurement indicators, technological distance can better reflect the technological innovation efforts of enterprises in a competitive environment.First, existing studies have extensively examined the impact of corporate strategic radicalization, but have ignored the impact of strategic radicalization on corporate innovation.By studying the impact of strategic radicalization on technological distance, this study enriches the literature on the impacts of corporate strategic radicalization and is a useful supplement to existing research.Second, it is a common research perspective to study the impact of strategy types from the perspective of management behavior.From the perspective of managers turnover, which affects enterprise strategic change, this paper studies the frequency of managers turnover, the source of successors and the boundary function of integration of chairman or general manager, which is helpful to further clarify the boundary of strategic radicalization.Third, this research provides a reference for how companies choose strategic positioning to narrow the technological distance.According to the research conclusions, companies should choose the analyzer strategy of moderate radicalization, rather than the attack strategy of over radicalization and the defender strategy of insufficient radicalization, so as to achieve the best technology catch-up effect.
This article uses the data of listed companies in China's A-share manufacturing industry as a sample, and uses the system GMM to examine the relationship between corporate strategic radicalization and technological distance, as well as the boundary effect of the corporate governance factor of managers turnover.The results are as follows: First, there is a U-shaped relationship between corporate strategic radicalization and technological distance.Appropriate strategic radicalization can reduce the technological distance.Over radicalization or insufficiently radicalization is not conducive to narrowing the technological distance.Second, the higher the frequency of managers turnover, the more obvious the relationship between strategic radicalization and technological distance.Third, the U-shaped relationship between strategic radicalization and technological distance is evident in industries where competition is relatively weak.Fourth, compared with professional managers, when the controlling shareholder succeeds the chairman or general manager, and in the case of a lower successor with integration of chairman or general manager, the boundary effect of managers turnover is more significant.
This article has certain practical implications.First of all, this research reveals that analyzer strategies can help companies narrow the technological distance.This enlightens companies that they should adopt appropriate radical strategies, not only to avoid corresponding risks, but also to be wary of backwardness caused by insufficient strategic radicalization.When formulating strategies, companies should also reasonably evaluate the intensity of competition in their industries, and be wary that relatively weak industry competition will lead to insufficient incentives for corporate innovation.In this situation, companies need to adopt a moderately radical strategy to shorten the technological distance with frontier company in order to overcome the lack of incentives in the industry, but they still need to avoid the negative effects caused by over-radical strategies.Secondly, the managers turnover affects the strategic choice of the enterprise.This study suggests that the successor manager should choose a moderately radical analyzer strategy to narrow the technological distance.But at the same time, it should be noted that the succession of the chairman or general manager by the controlling shareholder can effectively reduce the agency costs and enhance strategic execution.Avoiding the concurrent appointment of the successor chairman and general manager can reduce the negative impact of managers' overconfidence and help to improve the rationality of strategic decision-making.This provides a reference for how to determine the source of successors and position arrangements in the process of managers turnover.

Based on Self-Consistency Theory and Cognitive Evaluation Theory, this study revealed the mechanism and boundary conditions of entrepreneurial self-efficacy influencing entrepreneurial bricolage by introducing entrepreneurial goal clarity as the mediator and entrepreneurial turbulence (negative and positive turbulence) as the moderators. Based on the retrospective survey data of 297 entrepreneurs, the results showed that: Entrepreneurial self-efficacy can not only directly but also indirectly promote entrepreneurial bricolage through the mediating role of entrepreneurial goal clarity; Positive entrepreneurial turbulence attenuates the driving effectiveness of entrepreneurial self-efficacy on entrepreneurial bricolage, and this impact is achieved by weakening the mediating effect of entrepreneurial goal clarity; The moderating effect of negative entrepreneurial turbulence is not significant. These conclusions give some answers to the following questions: Why do some entrepreneurs actively carry out entrepreneurial bricolage, while other entrepreneurs have nothing to do in the face of the resource-shortage situation? Under what circumstances do active entrepreneurs carry out more entrepreneurial bricolage？