Strengthening the comprehensive cyber governance system is a critical research focus for advancing China's strategy of becoming a global cyber power. The year 2024 marks both the 10th anniversary of General Secretary of the Communist Party of China Central Committee Xi Jinping's proposal of the cyber power strategy and the 30th anniversary of China's full access to the global cyber. At this critical historical juncture, reviewing systematically the evolutionary path and theoretical logic of comprehensive cyber governance research holds significant theoretical and practical values. Based on a conceptual definition of "comprehensive cyber governance", this study made a systematic review of 507 high-quality journal papers published domestically and internationally. The findings revealed that domestic research emerged earlier and demonstrated more systematic outcomes, evolving through three distinct phases: exploratory rigid control under a legal framework, government-led collaborative regulation, and multi-stakeholder comprehensive governance. Furthermore, leveraging Parsons' AGIL model from structural functionalism, this study constructed a research framework comprising goal attainment, integration, adaptation, and latency, synthesizing four core themes in comprehensive cyber governance research: generative logic and conceptual construction; internal mechanisms of governance actors and tools; governance models and pathway exploration; and efficacy evaluation systems. Finally, in light of governance challenges posed by digital-intelligent technologies (e.g., ChatGPT, DeepSeek), future research directions were proposed, including empirical modeling of collaborative mechanisms, dual-attribute analysis of digital-intelligent technologies, dynamic adaptation of governance pathways, and AI-driven transformation of evaluation systems. The results will contribute to advancing theoretical research on comprehensive cyber governance and provide practical insights for strengthening governance frameworks.

With the advent of the digital era, the lack and alienation of digital responsibility have frequently emerged, triggering widespread digital trust crises. Current research on Corporate Digital Responsibility (CDR) remains in its nascent stage, with no unified consensus on its conceptual boundaries. Scholars predominantly focus on fragmented issues such as algorithmic accountability, while in-depth explorations of its research scope, foundational theories, influencing factors, and mechanisms of action remain insufficient. To address this deficiency, this study first synthesized scholars' definitions and research perspectives to conceptualize CDR, categorizing it into four dimensions: social, environmental, economic, and technological responsibilities. Second, it delineated the research trajectory and core themes of CDR through temporal distribution analysis, co-citation analysis, and keyword co-occurrence network mapping. Furthermore, drawing on existing scholarship, the paper constructed theoretical frameworks grounded in the stakeholder theory and the power-responsibility equilibrium theory from a digital perspective, systematically examining external societal environments and internal organizational factors that influence CDR, along with their operational mechanisms. Finally, by identifying current research limitations and proposing advancements in content exploration, methodological innovation, and contextual embedding, this study has outlined future directions for CDR research. In addition, employing systematic literature review and bibliometric analysis, this paper has conducted a structured synthesis and visualization of extant CDR literature, aiming to provide valuable insights for subsequent research in this field.

Founding team resilience is critical for effectively addressing challenges posed by high uncertainty during the entrepreneurial process, enabling teams to recover, adapt, and grow rapidly while ensuring the survival and development of entrepreneurial ventures. However, existing research on founding team resilience remains in its initial stage. To address this, we clarified the research topic and status of founding team resilience by using a systematic literature review method, finding that existing studies lack consensus on the conceptual definition of founding team resilience, with research themes remaining fragmented, and there is a lack of attention to the unique characteristics and formation processes of founding team resilience in the Chinese context. In view of this, based on the perspective of dynamic process, we identified the concept of founding team resilience, divided it into three dimensions of recovery, stability, and growth, and indicated its connotation characteristics of highly contextualized and dynamically developing. Further, based on the "ternary interaction" model of the Social Cognitive Theory, a theoretical analysis framework was constructed by combining the characteristic basis, action process and contextual factors. The results showed that, founding team resilience is influenced by team structural, team cognitive, and team capabilities characteristics, and its formation is the result of the founding team effectively matching the internal and external context of enterprise to carry out strategic actions and continuous interactive iteration. Finally, we indicated that future research should consider measurement scales, influencing factors and mechanisms, impacts, and research in the Chinese context of founding team resilience. By enriching the perspective of founding team research under uncertain context, and broadening the scope of founding resilience research, we aim to offer some theoretical guidance to help founding teams overcome challenges and promote high-quality development.

Artificial intelligence has become a crucial force in enabling entrepreneurial development, playing an increasingly important role in the chance of entrepreneurial opportunity discovering and value creating. Although the entrepreneurial field has gradually paid attention to artificial intelligence, the current research on artificial intelligence-enabled entrepreneurship is still fragmented and lacks systematic integration. This paper adopted the unsupervised machine learning methods, combined machine coding with manual coding, and used structure topic models to analyze 122 relevant literatures collected by Web of Science. This study sorted out the current research status from the aspects of the antecedents, scenarios, processes, results, theoretical perspectives, and tools and methods of AI-enabled entrepreneurship. This study found that the research on the driving mechanism of AI-enabled entrepreneurship needs to be further deepened, the research on scenario fields needs to be further enriched, the research on path mechanisms needs to be further explored, the research on dual impacts needs to be further discussed, the underlying logic needs to be further broken through, and the technical instruments need to be further integrated. On this basis, it proposed a future research framework and topics, and revealed that we should deepen the research on the driving force of AI-enabled entrepreneurship at the macro-, meso-, micro- and even cross-level levels, promote the research on the multi-scenario ecology of AIenabled entrepreneurship in regions, industries and fields, strengthen the research on the process path of AI-enabled entrepreneurship from a cross-level and dynamic perspective, pay full attention to the possible positive results of AI-enabled entrepreneurship, especially the negative impact, and further explore the unique theoretical system of AI-enabled entrepreneurship based on new practices, provide solid data, tools and methods to support the research on AI-enabled entrepreneurship. By combing through existing literature and constructing a future research framework, this paper will provide a guideline for enriching and deepening research on artificial intelligence-enabled entrepreneurship.

    As digital technology rapidly advances, its role in driving industrial transformation and innovation has become increasingly critical. Although existing literature has explored this area, there is still significant room for deep analysis and construction of theoretical frameworks. In response to this, this study employed a systematic literature review method to statistically analyze 103 pieces of literature on the theme of digital technology-driven industrial transformation published between 2001 and 2022 in UTD24 and FT50 journals. Building upon the conceptual delineation of digital technology-driven industrial transformation, this study constructed a comprehensive knowledge analysis framework that includes four categories: industrial digitalization application, industrial digitalization expansion, industrial digital transformation, and industrial digital change. Furthermore, based on the ABC (Antecedents-Behaviors-Consequences) analysis framework, it synthesized a thematic framework for digital technology-driven industrial transformation research, centered around influencing factors, operational processes, and impact effects. The study also proposed future research directions in three primary areas: exploration of micro-mechanisms, assessment of policy effects, and impacts on the social environment. The research results will not only provide a complete and systematic theoretical framework for scholars in this field, facilitating deeper academic exploration, but also will offer valuable theoretical guidance for the formulation of industrial policies and management practices.

Breaking through the bottleneck of key core technology has become a theory and strategic research topic for China to break the US scientific and technology blockade and realize the national rise. This paper systematically combed and summarized the key core technology research from the concept, internal structure, breakthrough path and mechanism. We find that neither the mainstream innovation theory nor technological catch-up theory for latecomer countries have literature focusing on key core technology, and the innovation research on this topic is still at an early stage in China. Therefore, there are five research gaps of key core technology, confusion of key core technologies and related concepts, lacking research on the origin problems, the unopened box of key core technologies, lacking discussion on the underlying logic of the microstructure and evolution mechanism of key core technologies, little research on the R&D path and mechanism of key core technology, limited research on macro breakthrough path and mechanism, lacking study on breakthrough mechanism of key core technology under multiple scenarios, deep influence of the mainstream innovation theory paradigm on the existing research literature. Finally, based on the gaps in existing research, this paper proposes a prospect and framework for future research, establishing key core technology breakthrough theories based on Chinese context. 

China needs sustainable green development and green credit is an important market means for energy conservation, emission reduction, environmental protection and industrial structure optimization. How is the current research status and development prospect of the Chinese green credits? In order to understand the current development of green credit research in China, we selected the relevant literature from 2007 to 2020 as research object that has been published by the CSSCI source journals and the Chinese core journals in the database of China National Knowledge Infrastructure (CNKI). As a side note, non－academic literature among them, such as news reports, book reviews and so on.Finally, we got 263 domestic documents in the database of CNKI.As quantitative research can reflect the research hotspots and research status in a certain field more objectively, the CiteSpace software was used in this paper to draw knowledge maps， which was more simple and effective. The visual and quantitative analysis on those full literature samples were conducted in this way.Then the maps were utilized to analyze the literature，and the current research topics were to be grasped and the research trends were also to be judged，which may provide a useful reference for the in-depth study of green credit.
   The main research conclusions in this paper are as follows: (1) The research objects of green credit have been shifted from macroscopic research to microscopic research. The early research focused on the concept and necessity of developing green credit in China and the factors affecting the implementation of green credit. After the green credit policy was issued and implemented, academia began to analyze the effects of green credit implementation from a micro level such as commercial bank performance, investment and financing of heavy pollution firms. (2) The research methods of green credit have been evolved from a predominantly qualitative to a predominantly quantitative study, but the availability of data limits the progress of micro-empirical research. However, the samples are often too small with limited data in the research on green credit and commercial bank performance, which significantly reduces the accuracy of empirical research. As for the empirical research on green credit and heavy-polluting companies, most studies can only use dummy variables to represent green credit policies, and there are short of data to support further empirical research. (3) The relationship between research and practice of green credit is in need of further work. There are few evaluative studies on the effect of green credit implementation, which makes it hard to judge the effectiveness of green credit policies.〖JP〗
Our work not only brings about systemic references for new researchers，but also suggests the further research directions. We need to advance the academic research, better the government policies and promote the business practices of green credits. It is therefore in need to improve the green credit policy system and statistical system in order to provide enough data support for green credit research and supervision, to strengthen and deepen the evaluation research on the effect of green credit policy implementation and to expand research on green credit incentive and restraint policies is also important.

    With the explosive development of emerging technologies, research on the adoption of innovation technologies by firms has attracted both practical and academic attention. Despite the increasing number of studies on organizational innovation adoption, a systematic review of this body of knowledge is still lacking in China. Through a comprehensive review of the organizational innovation adoption literature published in 15 top foreign management journals over the past 25 years, this paper systematically summarizes the following research contents:
     （1）Clarifying the conceptual connotation of organizational innovation adoption. Organizational innovation adoption can be understood as the result of the diffusion of organizational innovation. Specifically, the innovation supply side generates innovative technologies, products, services, and models through incubation, collaboration, and imitation. Through innovation diffusion, the innovation demand side experiences innovation perception, the formation of an adoption attitude, internal evaluation, and adoption decision-making to adopt innovation. In this paper, organizational innovation adoption is defined as the behavior of multi-stage adoption and assimilation of new technologies, new products, new services, and new models driven by technology and market. This behavior is an important means to improve corporate performance and gain competitive advantages in the context of technological change.
      （2）Analyzing the theoretical foundation of organizational innovation adoption. The existing theoretical basis includes innovation diffusion theory, institutional theory, resource-based theory, and high-level echelon theory. The theory of innovation diffusion has been widely used to explain the acceptance and adoption behavior of new policies, emerging technologies, and new products between and within enterprises，future studies should distinguish the differentiated effects of innovation adoption among enterprises when considering innovation diffusion. Institutional theory is mainly used to explain how institutions affect the design and adoption of innovation between or within organizations, as well as the consequences of adoption, future studies should further explore how enterprises can maintain differentiated competitive advantages under the same structure of innovation. Resource-based theory is an important theory to explain the relationship between the resources available to an organization and the attitude, motivation, and behavior of innovation adoption. In the future, it can be used to explore how enterprises acquire and utilize innovation through their own resource advantages. The high-level echelon theory reveals the attitude of the composition of managers and the characteristics of team members towards the adoption of organizational innovation, future research can apply the high-level echelon theory to the differential performance of different managers′ characteristics in the adoption of progressive innovation and disruptive innovation.
     （3）Establishing an organizational innovation adoption model through drivers, moderators, mediators and outcome factors. a) The research on the antecedents of organizational innovation adoption can be divided into three aspects: technology, organization and environment. b) The research on mediation can be divided into front-end mediation and back-end mediation. From the perspective of cognition and ability, scholars have carried out abundant research on the mediation mechanism before the adoption of organizational innovation, while the research on the mediation mechanism after the adoption is relatively insufficient. c) The existing regulatory mechanisms adopted by organizational innovation can be divided into front-end regulation and back-end regulation, including innovation characteristics, organizational characteristics, environmental characteristics and so on. d) The discussion about the results of organizational innovation adoption mainly focuses on four aspects: enterprise performance, product innovation, competitive advantage and value creation.
     （4）Looks into future research directions. a) It is necessary to discuss the different adoption modes of "enabling technology" and "alternative technology", including discuss the heterogeneity of the adoption behavior of the two types of technologies and the derived organizational conflicts, which is of great practical significance to promote the application of emerging technologies. b) Discusses the domestic substitution adoption of the later-developed national key core technologies, including the decisive factors of domestic substitution of emerging technologies and organizational behavior decision-making can be further explored in the future to expand the research context of organizational innovation adoption. c) Discusses the diffusion and adoption of innovation in the business ecosystem, including explore the adoption mechanism and diffusion mechanism of organizational innovation in the ecosystem to enrich the subject of innovation adoption. d) The process and decision of innovation adoption in the industrial chain are discussed, including the antecedents and relationships of different adoption stages.

    Service innovation theories, owing to their unique advantage of being suitable for cross-industry research, become the premium choice among the theories for interpreting firms′ competitiveness differences. The rise of service innovation theory reflects the change of thinking pattern throughout the entire economy, which is essentially a critique and development of previous innovation research paradigms. With the rapid development of new-generation information technologies such as big data, cloud computing, artificial intelligence, and digitalization, service innovation is constantly changing existing operation and business models of the industry, and reshaping existing markets, thus service innovation research faces major challenges. The multi-dimensional characteristics of service innovation determine it as a concept with complex content and scope, and various attributes are intertwined. Currently, the literature reviews on service innovation are limited in number and less broad in perspective; most of them are qualitative studies made through subjective judgment methods, which are less capable of handling a large amount of academic literature and the idiosyncrasies and broadness of service innovation in nature. There is a shortage of source-tracing and panorama-oriented studies, convincing findings on the theories, their evolutions, their latent inter-relationships stay inadequate, the categories of theories and their inter-links within the field remain unclear, and lead to a lack of reliable and efficient findings.
    In this paper, academic literature on service innovation research for the past 40 years (1982-2021) was collected in the authoritative database Web of Science (WoS), and innovative research methods were adopted through qualitative and quantitative methods. Employing various kinds of software such as VOSviewer, CRExplore, Metaknowledge overcome the inherent problems like the massive volume of literature, complex contents, and interwoven theories. Based on the outcomes from bibliometric analyses, content analysis, the theoretical classification, the paper clarifies the development veins and potential interconnections of theory from a panoramic view and defines the research focuses and frontiers. The results show that there are nine categories of main theories/perspectives in the scope of service innovation research: Schumpeterian, resource-based view, dynamic capability view, market orientation, absorptive capacity, knowledge-based view, relational/network view, open innovation, service-dominant logic, among which the dynamic capability view and service-dominant logic enjoys the most promising development prospect. Among the nine theories/perspectives, each has a different research subject and direction; however, they co-exist and complement each other, forming a collaborative relationship. Specifically, the classic strategic theories (resource-based view, knowledge-based view, and absorptive capacity) from the inward perspective of the enterprise itself, with more emphasis on competition, supply promotion, and value acquisition. In contrast, market orientation, open innovation, and relational/network view from the extroverted perspective, with more emphasis on partnerships, market pull, and value creation. The dynamic capability view fully considers the internal and external environment faced by the enterprise, and emphasizes the abilities to integrate, build, and reconfigure internal and external resources/competencies to obtain a long-term competitive advantage. As the development of the previous research, the dynamic service innovation capabilities (DSICs) framework is the theoretical sublimation of the dynamic capability view under service context, which makes the operationalization of the dynamic capability feasible under the service innovation background, and promote the unity of the future empirical researches. The service-dominant logic takes value exchange as the pointcut, emphasizes the value co-creation between production and consumption, as well as the integration of internal and external resources, it integrates multiple theories/perspectives of service innovation by introducing the concept of service ecosystem. As a meta-theory, service-dominant logic opens up an unprecedented broad horizon for service innovation research, greatly expands the connotation and application boundaries of existing theories, and makes the antecedents, paths, outcomes, and other elements of service innovation can be placed in a multi-level systematic framework. In general, the dynamic capability view and service-dominant logic are in line with the integration paradigm of service innovation research, with deeper understanding, broader perspective, and more significant logical advantage in solving research problems of service innovation.
Also, most studies now focus on service innovation and its effect on performance, ignore the internal and external environment, service types, service stage, and other contextual factors, fail to explore them within an integrated research framework. Besides the innovation in research design and methods, the paper compensates for the current weakness in the service innovation research by revealing service innovation theories/perspectives evolutions, their hidden inner-links, research frontiers, and proposing an integration framework for different service innovation theories. It thus provides future research with direction and references.
〖WTHZ〗Keywords:

   In the era of knowledge-based economy, it is of great significance for enterprises to strengthen the research of innovation network. Focusing on the current situation and trend of innovation networks research in China, taking databases of China National Knowledge Infrastructure (CNKI) and Chinese Social Sciences Citation Index (CSSCI) as literature sources, combing sample literature and applying bibliometrics methods such as knowledge graph analysis, burst term analysis, etc., this paper analyzes research status on trend of number of published papers, core authors, etc., contents and research trend of innovation network types, theoretical basis, etc. 
   In terms of the present research status, this paper focuses on the four aspects: the annual number of published papers, core authors, core journals and the highly cited literature. The conclusions of the research are as follows: (1) Innovation network research of China started early but achieved fruitful results. The annual number of published papers increases year by year in fluctuation; (2) It has formed four core research forces represented by the DANG Xinghua, ZENG Gang, LIU Xiaoyan and SUN Yonglei. Among them, cooperative network represented by DANG Xinghua focuses on in-depth research from the perspective of knowledge, network embedding and network governance, and the number of papers published is numerous and the papers are high-quality and the most representative; (3) The core CSSCI journals such as Science & Technology Progress and Policy, Science of Science and Management of S. & T., Studies in Science of Science, Science Research Management, etc. are core journals in this field. (4) Highly cited literatures mainly cover three aspects: cluster innovation network, innovation network attribute and innovation network theory, which are important research directions in the field of innovation network.
    In terms of research content, this paper focuses on research field, research topic, theoretical basis and research methods of innovation network. (1) It is found that seven kinds of networks, such as technological innovation network, regional innovation network, enterprise innovation network and cooperative innovation network, are the research focus of domestic scholars. These innovation networks are formed on the basis of different intentions and relationships, and have unique characteristics. (2) In addition to all kinds of innovation networks, synergy cooperation, knowledge resources and network evolution are the research topics that scholars focus on. The research results are abundant and the system is complete, but the research topics such as network governance, network faction, network anti-risk ability are less involved. (3) Network theory, resource dependence theory, resource-based theory and structural holes theory constitute the theoretical foundation of innovation network research. However, most domestic researches are application-oriented research, and there are few papers on theoretical development. Finally, most domestic researches are quantitative researches. There are few researches that combine qualitative analysis and quantitative analysis. Regression analysis is a commonly used method of quantitative data processing, while qualitative research mainly focuses on case research.
    In terms of research trends, this paper combs the research hotspots and evolutionary trends in this field by using key word burst analysis method, and finds that the researches on innovation networks in China have the characteristics of stages. Before the financial crisis, scholars mainly focused on technological innovation, enterprise innovation networks, industry clusters, cluster innovation networks and other aspects of research; Researches have become mature; and after the financial crisis, with the evolution of innovation network, researches on core enterprise, network structure, collaborative innovation network and evolutionary dynamics have become the focus of domestic scholars. In recent years, the knowledge power and collaborative innovation are the products of the knowledge-based economy era, which reflect the new characteristics of the innovation activities in the new era and will become a new research hotspot in this field.

With the development of technological economy, academic entrepreneurship plays an increasingly prominent role in improving the efficiency of technological achievements transformation and promoting technological and product innovation. In this context, the public is increasingly urgent to explore the characteristics, mechanism and influence of academic entrepreneurship under the background of China, while there are few relevant studies. Therefore, based on the relevant literature published from 1980 to 2020, this paper sorts out the following research contents of academic entrepreneurship.
       (1) Clarifying the concept and categories of academic entrepreneurship. In a narrow sense, academic entrepreneurship refers to the behavior of individual scientists within the universities to create their own firms to exploit their own discoveries for profit. In a broad sense, academic entrepreneurship refers to the behavior of academic institutions or individual scientists to transfer technology or knowledge for profit. There are many types of academic entrepreneurship, including entrepreneurship education, knowledge transfer, joint research/ publication with industry, licensing, patent application, spin-off incubators, new firm creation, and so on. 
     (2) Integrating the research achievements of academic entrepreneurs from the perspective of entrepreneurial subjects. Founders of academic start-ups can broadly be divided into two categories: a) Academic institutions, such as universities, colleges, or research institutions; b) The individual scientist within the academic institution. Based on the differences between academic entrepreneurs and ordinary entrepreneurs, this paper then gives a detailed introduction to the research on academic entrepreneurs. 
       (3) Summarizing the commonly used theories in academic entrepreneurship research and their application fields, with emphasis on role identity theory, academic life-cycle model and imprinting theory. Role identity theory, which comes from social psychology literature, is mainly used in the field of academic entrepreneurship to explain the difficulties encountered by researchers in the process of transition to entrepreneurs, and what types of entrepreneurial activities researchers choose at different stages. Academic life-cycle model provides an explanation for the relationship between the age of scientists and their entrepreneurial decisions. Imprinting theory explains how founders transfer and adapt their career imprints from their previous jobs to their startups, and how these career imprints then shape the startup′s structure, culture and routines. 
       (4) The impact of academic entrepreneurship is discussed from socio-economic and fundamental scientific perspectives. On the one hand, academic entrepreneurship can promote economic development by accelerating technology transfer, promoting entrepreneurship and increasing employment opportunities. On the other hand, numerous scholars have raised concerns that the increasing: first, does academic enterprise occur at the expense of the production and dissemination of scientific knowledge, materializing itself as decreases in the volume or quality of publications, or as publication delays? Second, does the growing focus on industry and enterprise force, or entice, scientists to undertake more applied research, at the expense of more fundamental scientific research? 
         (5) Based on the existing research, this paper puts forward some future research directions: close attention to the changes in types of academic entrepreneurship, enrich the theoretical perspective of academic entrepreneurship research, expand the research topics of academic entrepreneurship. In addition, domestic academic entrepreneurship research needs to engage in the following contents: a) To construct the research system of academic entrepreneurship and form a dialogue with international academic entrepreneurship research as soon as possible; b) To explore the issue of academic entrepreneurship in the context of Chinese. For example, the entrepreneurial motivation of academic entrepreneurs under the background of Confucian culture, and the differences of academic entrepreneurship in different provinces.

    With the development of Internet technology and the prosperity of the platform economy, the phenomenon that users act as the main body of innovators and entrepreneurs keeps emerging. This has attracted extensive attention from both practice and the academia. Specifically, user entrepreneurship refers to the phenomenon that users take the initiative to innovate or improve products due to their unmet needs and provide them to the market. In recent years, the research on "user entrepreneurship" has been growing quickly and its content has been gradually enriched. To be specific, the current research has gradually expanded from the initial description of the path of user entrepreneurship to the study of the subject, motivation, and influencing factors of user entrepreneurship. With the deepening of the research, the differences between user entrepreneurship and traditional entrepreneurship become more obvious. This represents its potential research value. In practice, in recent years, extant firms pay more attention to communication with users and even try to attract consumers to join the process of value creation by building communities. Therefore, users are not only the buyers of products, but also can participate in the creation of product value through interaction with firms. Some users have gradually changed from passive "consumers" to active "innovators", and they can even transform into "entrepreneurs" by gathering lots of consumers for collective creation and further realize the reversal of user identity. In terms of theory, although more and more scholars have paid attention to user entrepreneurship and carried out theoretical research, the current research is still not comprehensive. Many questions, such as the outcome of user entrepreneurship, have not been explored in depth. At the same time, most of the existing research focused on individual issues such as the identity transformation of user entrepreneurs and the exploration of users′ entrepreneurship motivations. Those questions are relatively fragmented and lack of systematic research. Based on this, this study tries to reveal the current research on user entrepreneurship comprehensively and provide guidance and suggestions for future research. 
    Through the systematical analyses of the connotation, motivation, influencing factors, and entrepreneurial process of user entrepreneurship, this study analyzes the current research status: (1) there are two kinds of user entrepreneurs according to the identity attributes. One is the professional-user entrepreneur who uses a product in their professional life and experiences a need for improvement. The other is the end-user entrepreneur who innovates products based on daily use. (2) The entrepreneurial motivation of user entrepreneurs includes not only intrinsic motivation such as dissatisfaction with the product, the pleasure of starting a business, the feeling of enjoyment, the passion to accept the challenge, the faith to succeed, but also extrinsic motivation such as social network relationship and economic benefit. Besides, unlike traditional entrepreneurship driven by economic interests, user entrepreneurship is mainly driven by intrinsic motivation. (3) The influencing factors of user entrepreneurship include the entrepreneur′s individual factors such as prior knowledge, educational background, and multiple identities as well as the community factors such as the diversity of community member background, the relationship strength of community members, and community size. (4) Activities of user entrepreneurship are realized mainly based on community interaction, especially the user entrepreneur who need complete resource development and opportunity development based on participating in community interaction. (5) The results of user entrepreneurship can be roughly divided into three categories: failure, merger, and success.
    The research on user entrepreneurship is still in its infancy, and there are still many valuable academic issues to be analyzed and discussed in the future. Based on the above literature review, this study puts forward five possible research directions as follows. (1) We need to further improve the conception of user entrepreneurship by combining specific cases under the Chinese context. At the same time, we should construct the dimensional system and developing the questionnaires of user entrepreneurship. (2) About the motivation of user entrepreneurship, we need to explore the interaction effect of intrinsic motivation and extrinsic motivation on user entrepreneurs′ decisions; on the other hand, it is necessary to deeply explore the influence mechanism of entrepreneurial motivation on entrepreneurial activities, and reveal the influence mechanism of entrepreneurial motivation on subsequent entrepreneurial activities. (3) We should further construct the system of influencing factors and explore the relevant internal influencing mechanism between those influencing factors and user entrepreneurship activities. (4) We need to pay more attention to the outcome variables of user entrepreneurship, establish a systematic evaluation system of entrepreneurial outcomes, and deeply explore how user entrepreneurship activities affect the entrepreneurial outcomes. (5) Finally, we should construct a comprehensive research model to deeply explore the internal influence relationship among users′ entrepreneurial motivation, entrepreneurial activities, and entrepreneurial results. Further, we need to explore how entrepreneurial motivation drives subsequent opportunity development and resource development, and then influence entrepreneurial results, and test the moderating role of influencing factors. 

As an emerging innovation model, digital innovation profoundly reshapes the behavior, process and essence of innovation, and plays an important role in promoting China′s innovation-driven, high-quality economic development and enhancing international competitiveness. Digital innovation, as the frontier of innovation management research, has attracted special attention from scholars at home and abroad. However, on the whole, foreign attention has been relatively early and research results are relatively rich, while domestic research results are relatively small, and theoretical research is relatively lagging, making it difficult for China to flourish. The practice of digital economy provides timely and effective guidance. Therefore, systematic combing and analysis of digital innovation research literature, and then constructing the basic theoretical framework of digital innovation, has important theoretical significance and practical value for promoting the theoretical research of China′s digital innovation, leading and guiding China′s digital innovation practice.The paper uses the literature analysis method to review and sort out the literature in the past 20 years, and construct the basic theoretical framework of digital innovation. The main research conclusions are as follows: (1) It systematically sorts out the connotation of digital innovation from the perspectives of process theory, consequence theory and holism, defines the connotation of digital innovation, and points out that digital innovation is the process of using digital technology to innovate, which can be used to describe some of the results of innovation or all of innovation. (2) It summarizes the characteristics of digital innovation from three aspects: technology, organization and management attributes. In terms of technical attributes, it has the characteristics of self-growth and integration. In terms of management attributes, it has the characteristics of innovation platformization, innovation combination and innovation distribution. In terms of organizational attributes, it has the characteristics of convergence, openness and dynamics. (3) According to the form of expression, this paper divides digital innovation into five types: digital product innovation, digital service innovation, digital process innovation, digital organization innovation, and digital business model innovation. It proposes that digital innovation has the functions of improving operational efficiency, improving organizational performance, promoting high-quality development and changing the competitive landscape. (4) It believes that digital innovation is composed of five basic elements: digital innovator, digital innovation citizen, digital technology, digital innovation platform and digital innovation culture. It proposes that digital innovation organization and management include digital innovation strategy formulation, digital innovation organization preparation, and digital innovation operation management. (5) It points out that the future research of digital innovation should focus on the process and mechanism of digital innovation, decision-making, organization and management, government management strategies, the expansion of research objects, and digital innovation research in the Chinese context.The theoretical contributions of this paper are as follows: First, it has done a systematic review of the digital innovation literature, clarified the basic theories such as the connotation and characteristics, types and functions, basic elements, organization and management of digital innovation, and established the basic theories of digital innovation The theoretical framework has certain reference significance for domestic digital innovation research. Second, it innovatively puts forward the connotation and characteristics of digital innovation. From the perspectives of process theory, result theory and holism, the connotation of digital innovation is sorted out, and the connotation of digital innovation is defined. It summarizes the characteristics of digital innovation in three aspects: technology, organization and management attributes, and has a certain degree of innovation. Third, it proposes the functions and basic elements of digital innovation. It summarizes the functions of digital innovation from the perspective of digital innovation empowerment, clarifies the basic elements of digital innovation, and expands and enriches the content of digital innovation research. Fourth, it puts forward the main content of digital innovation organization and management, which has certain guiding value for promoting digital innovation practice management.

In March 2019, China’s ‘two sessions’ (the National People’s Congress and Chinese People’s Political Consultative Conference) pointed out that it is necessary to focus on strengthening the scientific and technological innovation development plan, to strengthen the docking of various science and technology, talents, and industrial planning in various provinces and cities, and to study and plan regional science and technology innovation strategies. Regional innovation is the basis for planning regional science and technology innovation strategy. How to apply scientific methods to study regional innovation is particularly important. Through extensive reading of domestic and foreign literature on regional innovation, this paper finds that scholars are very concerned about regional innovation research, and the research methods adopted are also quite diverse. This paper attempts to sort out the research methods related to regional innovation, in order to lay a foundation for scholars to carry out relevant research.
First of all, based on China Knowledge Network (CNKI) and Web of Science databases, this paper uses “regional innovation” and “regional innovation” as the title and key words to retrieve the literature. Then, taking the important journals identified by the Ministry of Management Science of the National Natural Science Foundation of China, the journals sponsored by the National Social Science Foundation, SCI, SSCI, etc. as the criteria, this paper select “Scientific Research Management”, “China Soft Science”, “Technological Forecasting and Social Change”, “Journal of Cleaner Production” , etc. The representative classical literature are selected from these journals for detailed analysis. Due to space limitations, this paper only lists 40 main references at the end. This paper sorts out three typical methods for studying regional innovation problems: statistical analysis methods, frontier analysis methods and system analysis methods.
In thesecond part, regional innovation research based on statistical analysis methods is divided into two categories: regression analysis, dimensionality reduction and classification analysis. The regression analysis method is divided into two sub-categories: classical cross-section data analysis and non-classical cross-section data analysis. When using classical interface data analysis methods to study regional innovation, scholars mainly focus on linear regression analysis, time series regression analysis and spatial regression analysis methods. When using non-classical cross-section data analysis methods to study regional innovation, scholars focused on panel data regression analysis methods and discrete data regression analysis methods. Using regression analysis methods, scholars mainly studied the factors influencing regional innovation, technological innovation, regional innovation capability, and regional innovation performance. Scholars use the method of dimensionality reduction and classification analysis to study the regional innovation ability and innovation efficiency as well as the evaluation of innovation performance. The method of dimensionality reduction mainly refers to two aspects of factor analysis and projection pursuit analysis. The classification method mainly refers to cluster analysis.
In thethird part, regional innovation research based on frontier analysis methods is divided into two categories: data envelopment analysis (DEA) and stochastic frontier analysis (SFA). Scholars have applied the data envelopment analysis (DEA) methods and its improved model to study the efficiency measurement and performance evaluation of regional innovation systems, and the stochastic frontier analysis (SFA) method to study the influencing factors of regional innovation efficiency.
In thefourth part, regional innovation research based on system perspective is divided into four perspectives: regional innovation research based on system science analysis methods, regional innovation research based on social network analysis methods, the regional innovation research based on game theory analysis methods, regional innovation research based on ecological theory analysis methods. Applying system science analysis methods, the scholars mainly focus on the measurement of coupling coordination degree and order degree in various regions, the evaluation of innovation ability and collaborative evolution of regional innovation systems. Applying social network analysis methods, the scholars focus on the evolution path of innovation cooperation network, the influence factors of regional innovation network and innovation performance. Applying game theory analysis methods, the scholars focus on the main bodies of regional innovation system, such as enterprises and academic institutions, government-industry-university research, enterprises and enterprises. And the game mechanism among various innovators and the influencing factors of strategy selection are studied. Applying ecological theory analysis methods, scholars regard enterprises, universities and other innovators in the regional innovation system as different populations in the ecosystem. At the same time, relevant theories and models of ecology are introduced to study the coupling mechanisms, the dynamic evolution, the population effects and the population relationships in the innovation ecosystem.
In the fifth part, the relationship among statistical analysis method, frontier analysis method and system analysis method is discussed. The unreliability of statistical data determines the limitations of quantitative research methods. In view of the new challenges faced by regional innovation, this paper prospects the research methods that should be focused on in the future regional innovation from the following two aspects. (1) The arrival of the era of big data has spawned new regional concepts. Based on the big data platform, various scientific and technological resources can be fully integrated to meet the increasingly diverse and personalized demand for technological innovation, and the efficiency of innovation and the conversion rate of scientific and technological achievements can be improved greatly. Therefore, it will be an effective way to study regional innovation by using big data method. (2) With the advent of the electronic information age, the artificial intelligence methods will become the research methods of regional innovation. As the system theory is excessively abstract and rational, some research hypotheses are divorced from reality. Artificial intelligence research method, which integrates rationality and reality reasonably, will become a new research method of regional innovation research.

Innovation policy integrates many policy contents from science and technology policy, industry policy, finance policy and so on. If these policies are well coordinated, they can magnify the policy effect of each other, on the contrary, they may weaken the policy effect of each other.With the continuous expansion of the depth and breadth of innovation policy, higher requirements are put forward for the coordination of innovation policy.Since the 1970s, the research on innovation policy coordination has been deepening. The United States, OECD and so on have made special research on innovation policy coordination. Some important theoretical achievements have been published in the journal of 《Research Policy》. However, some basic issues of innovation policy coordination are still unclear, which restricts the further development of innovation policy coordination research, and also brings inconvenience to guide policy practice.On the basis of systematic literature research, this paper makes a thorough and comprehensive overview of innovation policy coordination research from aspects of connotation, influencing factors, subject dimension, tool dimension, measurement and adjustment, and forecasts future research.
The connotation of innovation policy coordination includes the interaction of innovation policy subjects, the collocation and interaction of innovation policy tools and forming innovation policy system. Focusing on the coordination of innovation policy subjects continued until around 2010. In 2010, after OECD discussed ‘Policy Mix’, the coordination of innovation policy tools becomes the focus of research. After 2000, the research on innovation policy system has gradually risen with the development of innovation system theory. Innovation policy coordination is affected by many factors. Governmental governance structure affects the power allocation and cooperation of relevant departments of innovation policy. The change and reorganization of government brings about changes in the coordination of innovation policy. The coordination of innovation policy is the inheritance and development of the previous coordination mode in consideration of the current situation. With the deepening understanding of the innovation law, there are more and more ways to coordinate innovation policies. In the practice of innovation policy, countries actively or imperceptibly learn the countries which do well. Think tanks can provide scientific theoretical knowledge for innovation policy coordination.
There are three types, four types and nine types in the study of coordination of innovation policy subjects. Three types are classified from low to high as atomic coordination, low coordination and high coordination. Four types are classified from low to high as negative coordination, active coordination, policy integration and strategic coordination. Nine types division method divides the four types into nine types, namely decision-making by participants independently, information exchange with other participants, consultation with other participants, avoiding inconsistencies, seeking consistency, arbitration to policy differences, setting restrictions for participants’ behavior, setting priorities and government strategies. Government power is allocated horizontally and vertically, and the innovation policy subjects are coordinated within this framework. The existing research mainly involves these kinds of coordination: Coordination between international organizations and state governments; Coordination among state governments; Coordination between central government and ministries of central government; Coordination among ministries of central government; Coordination between central government ministries and their agencies; Coordination among agencies of central government ministries; Coordination between the central government and the province governments. The cooperation and competition relationships mainly exist among the innovation policy subjects at the same level.
The research on the coordination of innovation policy tools is mainly carried out from the perspectives, types, the coordination among specific innovation policy tools, the coordination between innovation policy tools and other policy tools, and so on. Innovative policy tools may be combined in the four perspectives of policy space, regulatory space, geographic space and time. There are five types of coordination of innovation policy tools: continuity, complementarity, intersection, lack and contradiction. The coordination of innovation policy tools can also be divided into five other types: superposition, integration, from different levels, competition and cooperation, strengthening and weakening. The studies on the innovation policy tools are carried on from the aspects of coordination of R&D support measures, supply-side policy tools and demand-side policy tool, policy tools for different levels of innovation, innovation policy tools at different levels, technology innovation policy tools with other innovation policy tools. The coordination of innovation policy tools with environmental policy tools(sustainable development policy tools) and information society policy tools has also attracted attention of research.
There are direct and indirect methods to measure the coordination of innovation policies. The direct method measures the coordination of innovation policies with variables such as policy subject behavior, policy text, fiscal revenue and expenditure, and the indirect method measures the coordination of innovation policies through innovation performance and innovation behavior and so on. When the coordination of innovation policy is not good, the policy subject needs to make the impression of change, or it is conducive to maintaining the sector status, the innovation policy coordination will be adjusted. The ways of adjustment include reconstructing policy system, reorganizing institutions, rebuilding inter-agency links, optimizing policy tools and implementing specific projects.
The inadequacy of expressing the connotation of innovation policy coordination from the three aspects of subject, tool and system is that it is easy to talk about policy too simple. Adding purpose into the connotation can make up for this deficiency, and it should be further researched in the future. There are many factors affecting the coordination of innovation policies. More factors should be paid attention to. It is necessary to study the effects of department interest, innovation level, type, mode, culture, internationalization and economy on the coordination of innovation policies. Coordination of innovation policies are mainly focused from the aspects of subject and tool dimensions. We should expand the research of these two dimensions and extend to other dimensions such as policy process and time stage. We should make a systematic and in-depth study on the theoretical basis, applicable condition, standardized procedure, method comparison, secondary development and specific application of the coordination measurement and optimization method of innovation policy. We should study the interaction among different innovation processes, different innovation subjects and different innovation levels, and then use it to measure the coordination of innovation policies. The motive force of coordination and adjustment of innovation policy can be studied further from realistic need, policy problem and political need.

Inclusive innovation is a special type of innovation oriented to the low-income market. It can create economic return as well as social value by alleviating or even eradicating poverty, promoting realization of inclusive growth. Considering the huge difference between low-income market and high-end market in terms of market participants, institutional environment and infrastructure, inclusive innovation needs the new ways of thinking, models and properties in comparison with the traditional innovation. Based on the characteristics of recipients and environmental conditions of inclusive innovation, this paper summarizes relevant researches in perspectives of marketing, strategy, institution and organization, and furthermore proposes some effective policies,providing preferences and guidelines for future research and policy making.