Knowledge Synergy Research Articles

The innovation effect of digital M&As: Evidence from China

Digital mergers and acquisitions (M&As) have gained global momentum. However, whether digital M&As can effectively stimulate corporate innovation awaits further research. This paper evaluates the causal effect of digital M&As on corporate innovation using data from digital M&As and patents of Chinese A-share listed companies. Our findings indicate that digital M&As significantly promote the quantity and quality of acquirers' innovation, which still holds after various robustness tests and exhibits heterogeneity in different dimensions such as transactions, acquirers, and targets. Mechanism tests further reveal that knowledge synergy, financial synergy, and human capital structure upgrading are critical channels through which digital M&As promote the acquirers' innovation.

Knowledge Element Relationship and Value Co-Creation in the Innovation Ecosystem

In the era of Innovation 3.0, more and more enterprises are working together to build an innovation ecosystem to achieve value creation. The various participants in the innovation ecosystem promote resource aggregation and integration through cross boundary collaboration, jointly creating the value of the ecosystem. Value co-creation has become the core goal pursued by the participants in the innovation ecosystem. As an innovative participant in the innovation ecosystem, it is particularly necessary for enterprises to explore the formation mechanism of value co-creation from the perspective of enterprise knowledge characteristics. This article analyzes the value co-creation mechanism of innovation ecosystems from the perspective of including internal knowledge bases and external relationships. Based on the dimension of knowledge element relationships, a theoretical model is constructed to investigate the impact of enterprise knowledge element relationships on value co-creation in innovation ecosystems and explore the mediating role of knowledge synergy and the moderating role of innovation ecosystem normativity. The relationships are modeled based on survey data collected from 427 Chinese companies, and multiple regression analysis and bootstrap methods are used to empirically test the hypotheses. The research results show that different dimensions of knowledge element relationships have different impacts on value co-creation. Knowledge element substitution negatively affects value co-creation, while knowledge combination diversity positively affects value co-creation. However, there is an inverted U-shaped relationship between knowledge element complementarity and value co-creation. Knowledge synergy partially mediates the relationship between knowledge element relationships and value co-creation, and innovation ecosystem normativity has a two-stage moderating effect on the path from knowledge element relationships to knowledge synergy to value co-creation. This article enriches the research content of knowledge management in innovation ecosystems, guides enterprises in the innovation ecosystem to reasonably construct their own knowledge systems, and promotes the formation of innovation ecosystem norms, thus promoting the development of value co-creation activities.

Knowledge System Synergy Mechanism of Innovative Entrepreneurial Teams in Universities

Abstract The study divides the knowledge system of university students’ innovation and entrepreneurship teams into the main system, resource system, operation system, environment system, and exchange system, constructs the synergistic mechanism model of each subsystem, and accelerates the generation of innovation results. Then, from the perspective of the knowledge ecosystem and social network, an innovation team of University M is selected as the research object to analyze the characteristics of the synergistic network of the knowledge system of the team, to find out the cohesive subgroups, structural holes, edge points, and isolation points in the network, and to validate them by using the social network analysis method. The overall network analysis yielded that the overall network centrality potential of this innovation and entrepreneurship team was 25.52%, the connection between members was not strong, the team was loose, and the knowledge-sharing activities were not active. Individual net analysis reveals that active participants in knowledge synergy activities, whether spreading knowledge or learning knowledge, play an important role in sharing knowledge within the team but can be overly dependent. The analysis of this study will help to discover the characteristics of knowledge synergy behavior of innovation and entrepreneurship teams and the factors affecting the synergy behavior, which can be used as an objective basis for improving the synergy behavior of team knowledge systems.

The Interaction Mechanism and Dynamic Evolution of Digital Green Innovation in the Integrated Green Building Supply Chain

Although building enterprises are actively developing towards the direction of an integrated building supply chain (IBSC), they still face many difficulties in digital green innovation (DGI) activities. The purpose of this study is to reveal the interaction mechanism between the digital integration degree, green knowledge collaboration ability, and the DGI performance of IBSC enterprises in DGI activities under the influence of environmental characteristics of the integrated supply chain. In this study, firstly, a hierarchical regression method and a structural equation model are used to empirically study the static mechanism of DGI among enterprises in the IBSC. Secondly, this study adopts a complex system theory to construct a logistic dynamic analysis model to explore a dynamic evolution mechanism. The results of the study are as follows. (i) The digital integration degree and green knowledge synergy ability of the IBSC are conducive to improvements in digital green innovation performance among the enterprises involved in this chain. The digital integration degree of this chain is the dominant factor affecting the performance of digital green innovation among these enterprises. (ii) The digital network capability of this chain has a significant impact on its digital integration degree but has no significant effect on green knowledge synergy ability. The quality of digital relationships in the IBSC affects both the digital integration degree and green knowledge synergy ability. It has a higher impact on the digital integration degree than on the synergy ability of green knowledge. The resilience of the IBSC can effectively promote the improvement of digital integration and green knowledge synergy ability, but has no significant effect on digital green innovation performance. (iii) In the early stage of an IBSC, the effect of the digital integration degree on DGI performance is more obvious. Over the long term, under the effect of different digital relationship qualities of the IBSC, green knowledge collaboration ability plays a pivotal role. Improving this ability is conducive to the continuous improvement of DGI performance.

Retracted: Research on the Efficiency Evaluation of Cross‐Organizational Knowledge Synergy in Industry University Cooperation Based on BP Neural Network Algorithm

Retracted: Research on the Efficiency Evaluation of Cross‐Organizational Knowledge Synergy in Industry University Cooperation Based on BP Neural Network Algorithm

Complex Network-Based Evolutionary Game for Knowledge Transfer of Social E-Commerce Platform Enterprise’s Operation Team under Strategy Imitation Preferences

Social e-commerce is an emerging e-commerce mode in response to the upgrading of consumption, which has become an important engine for the development of the digital economy. Knowledge transfer and sharing play vital roles in improving the competitiveness and the sustainability of social e-commerce platform enterprises. However, academic research on knowledge transfer for the social e-commerce platform enterprise’s operation team remains deficient. To help social e-commerce platform enterprises to improve performance and better seek survival and sustainable development, this paper constructs a knowledge transfer model for the social e-commerce platform enterprise’s operation team, in the self-centered sustainable ecological business mode, from the relationship between intra-organizational operation knowledge transfer and cross-organizational knowledge sharing for value co-creation, and explores knowledge transfer behaviors from the perspective of complex network-based evolutionary game under strategy imitation preferences. Simulation results indicate that relationships among knowledge transfer cost, knowledge synergy benefit, cross-organizational value co-creation benefit rate, and reward and punishment, along with strategy imitation preferences, significantly impact knowledge transfer behaviors of the social e-commerce platform enterprise’s operation team. When all the members of the social e-commerce platform enterprise’s operation team prefer to imitate the knowledge transfer strategies of the operation members with smaller knowledge transfer costs, the operation team is more likely to show a high proportion adopting the transfer strategy, requiring low knowledge synergy coefficient, reward, punishment, and cross-organizational value co-creation benefit rate to achieve stable and sustainable knowledge transfer. Conversely, the operation team is more likely to show a low proportion adopting the transfer strategy, requiring high knowledge synergy coefficient, reward, punishment, and cross-organizational value co-creation benefit rate to achieve stable and sustainable knowledge transfer. This study has significance as a guide for social e-commerce platform enterprises in deploying the self-centered sustainable ecological business mode.

Research on the Efficiency Evaluation of Cross-Organizational Knowledge Synergy in Industry University Cooperation Based on BP Neural Network Algorithm

The difference of decision-making knowledge among members is conducive to the successful realization of group cooperative production. In the actual production, if the different knowledge environments between organizations can cooperate and penetrate each other, the common knowledge of groups can be formed, which is a key step to successfully solve the social and economic problems of public resources. The final efficiency of cross-organizational knowledge collaboration is the key to measure the success or failure of collaboration. Because the cross-organizational knowledge synergy efficiency of industry university cooperation is the result of the cross-influence of many factors, the general linear regression model is difficult to describe the relationship between these influencing factors and knowledge synergy efficiency. Based on the analysis of the importance of cross-organizational knowledge sharing efficiency evaluation of industry university cooperation, this study constructs the efficiency evaluation index system from different angles. At the same time, based on the field investigation of the index system, BP network model is established to effectively evaluate the collaborative efficiency.

Digital servitization strategies for SME internationalization: the interplay between digital service maturity and ecosystem involvement

PurposeThe purpose of this study is to understand how digital servitization enables the process of internationalization for industrial SMEs.Design/methodology/approachThe present study has adopted an exploratory multiple case study, conducting a total of 40 interviews in a two-phased approach to data collection. The first phase consisted of exploratory interviews with twenty-six industrial SMEs connected to the manufacturing industry in Sweden and Finland. Then, six SMEs were selected in the second phase to participate in additional in-depth interviews.FindingsFirst, this study identifies three gradual enabling phases concerned with the digital service maturity of SMEs consisting of digital awareness, digital service innovation and digital service mass customization. Second, the three interdependent phases of ecosystem knowledge synergy, ecosystem integration and ecosystem value co-creation were identified to improve ecosystem involvement. Finally, a process framework has been developed for SME internationalization consisting of a digital servitization innovation strategy, a digital servitization ecosystem strategy and a digital servitization scaling strategy.Originality/valueThe present research contributes to how digital servitization enables SME internationalization by demonstrating how the development of digital service offerings and ecosystem partnerships supports the internationalization process. This research extends the literature by proposing a process framework for the digital-servitization-enabled internationalization of SMEs. This process perspective provides a richer explanation of the complex interplay between servitization, digitalization and ecosystems choices, which supports the expansion into international markets.

SOCIAL MEDIA NETWORKING AND COLLABORATING LEARNING AS CORRELATES OF PRINCIPALS' PERFORMANCE IN PUBLIC SECONDARY SCHOOLS IN DELTA STATE, NIGERIA

This study examined the relationship between social media networking, collaborating learning and principals' performance in public secondary schools in Delta State. Two research questions guided the study. Two hypotheses were also tested in the study at 0.05 significant level. The study adopted the correlation design. The study population was the 427 principals in public secondary schools in Delta State Post-Primary Education Board. The sample size was 342 principals serving in public secondary schools in Delta State. The multistage sampling technique was used to select the sample. The instruments used to generate data were two questionnaires social media networking, collaborating learning and principals' performance, with reliability coefficients of 0.96 and 0.89 (SMNCL) and (PPQ). The generated data were analyzed using Pearson r and simple regression, t-test associated with simple regression. The findings of the study revealed that social media networking had a positive and strong relationship with principals' performance. The study also revealed that collaborative learning was significantly related to principals' performance in public secondary schools in Delta State. The recommendations made included school principals exploring social media as a veritable avenue for connecting and learning in different experts in different social media tools and online academic community. The study also recommended that principals should maximize the benefits of teamwork, collaboration, and knowledge synergy with their professional colleagues as a pathway to improving their school leadership skills and competencies.

Evolutionary Game Analysis of Knowledge Sharing in Low-Carbon Innovation Network

Low-carbon technological innovation is the main means to develop a low-carbon economy, and network knowledge sharing and collaborative innovation is an effective model for the development of low-carbon technologies. First of all, this article adopts a decision-making experiment and evaluation laboratory method and interpretation structure model, combines the two methods, extracts the advantages of the two, and discards the shortcomings of the two, thus constructing a new optimized and upgraded interpretation structure model. We give methods to explore the main influencing factors of collaborative innovation of low-carbon technologies for online knowledge sharing. Based on the industrial network knowledge sharing and cooperation network environment, the network evolution game model of network knowledge sharing knowledge collaboration is constructed to study the rewards and punishments, the profit distribution rate, the knowledge potential difference, and the parameter pairing of the network knowledge sharing cooperation network structure in the process of network knowledge sharing and collaborative knowledge innovation. The influence of the network knowledge sharing cooperation strategy is obtained through simulation to change the size of the relevant parameters so that the network knowledge sharing cooperation agent chooses the network evolution game of the sharing strategy to realize the optimal evolutionary stable strategy. According to the simulation results, this article proposes suggestions from the following aspects, aiming to improve the overall knowledge synergy effect of the network knowledge sharing and cooperation network.

Research on the Peer Behavior of Local Government Green Governance Based on SECI Expansion Model

Exploring the cohort behavior of local governments in green governance from the perspective of knowledge management can help promote the implementation of new development concepts. This article firstly explains the differentiation logic of local governments’ green governance cohort behavior based on the SECI expansion model. Secondly, by constructing a dynamic evolutionary game model, the conditions for the formation of positive and negative cohorts are analyzed. Finally, corresponding countermeasures are proposed. The results show that under the effect of knowledge management, the explicit and tacit knowledge, such as green governance ability and willingness of local government transform into each other, finally differentiates into four kinds of peer behavior states. Willingness stimulation, learning effect perception, complementary knowledge stock, knowledge synergy income, cooperation value-added income, punishment and reputation loss increase, which promotes local government green governance into a positive-peer state. Knowledge learning effect only exists in the early and middle stages of green governance, while the knowledge spillover effect has a more significant impact in the later stage of green governance; a higher gap between explicit knowledge and tacit knowledge, and a lower level of tacit knowledge and explicit knowledge, are conducive to the formation of positive-peer status.

Conceptual principles of industrial enterprise intellectual potential management use

Theoretical and methodological principles are substantiated and practical recommendations for managing the transformation of organizational knowledge as a tool for effective use of industrial enterprises intellectual potential in order to increase its competitive advantages are developed in this paaper. Theoretical generalization of industrial enterprises organizational knowledge concept is carried out. It is proved that the hidden staff knowledge acquires special value for the enterprise. The own vision of the term «organizational knowledge» is proposed. The author's classification of organizational knowledge by the degree of their manifestation and formalization is developed. The scientific value of the proposed classification is that it more deeply and accurately considers the consistent transformation of some types of knowledge into others, reflecting the dynamics of knowledge transformation process, determining the need for constant updating, and, consequently – creating new knowledge and its immediate implementation. Knowledge types matrix is constructed. The structure of organizational knowledge reflecting not their plane, but their spatial nature is determiined. According to the types and structure of organizational knowledge, the forms of their manifestation are defined. The transformation of knowledge not only by types, but also by the transition of knowledge from the individual level to the group and organizational levels is substantiated. At the same time the process of knowledge synergy is clearly represented. Recommendations for improving the processes of knowledge transformation in industrial enterprises are developed, as well as mechanisms for their practical implementation are proposed. The main conclusions and recommendations can serve as theoretical, methodological and methodical basis for further research in closely related areas of enterprise personnel management and innovation management. Obtained results form the principles of the organizational and economic mechanism for ensuring the effective use of intellectual potential of industrial enterprises in the implementation of European vector of national economy development.

RETRACTED: Allocation of control right between the participants of building information modeling–integrated project delivery project from the perspective of knowledge sharing

The emergence of building information modeling technology has facilitated promotion and application of integrated project delivery mode, while reasonable allocation of control right is the key to dealing with opportunistic behavior during the knowledge sharing process of the building information modeling–integrated project delivery project. Replicator dynamics model from the perspective of knowledge sharing was established by means of evolutionary game, to analyze the evolutionarily stability strategy for allocation of control right between the owners and the professional technology companies. The research showed that, when the knowledge sharing benefit from innovation was more than the supervision cost for struggling for control right, two stably revolutionary strategies existed in the game system, namely contingent control and joint control; and the stably revolutionary status was under the influence of knowledge synergy coefficient, proportion of complementary knowledge, knowledge stock, degree of knowledge sharing, probability that the estimated operation status of the project was favorable, supervision cost, success probability of the project, etc. The research results provided a theoretical reference for the owners and the professional technology companies of building information modeling–integrated project delivery project in deciding whether to struggle for control right or not according to the observed information and the final benefit level.

ORBIS (Open Research Biopharmaceutical Internships Support) – building bridges between academia and pharmaceutical industry to improve drug development

Open Research Biopharmaceutical Internships Support (ORBIS) is an international, Horizon 2020 project funded by Maria Skłodowska-Curie Actions, Research and Innovation Staff Exchange (RISE) programme. Six academic institutions and four pharmaceutical companies from seven countries cooperate with the aim to improve the preclinical pathway of medicine development through increased Research and Development (R&D) productivity, especially focusing on processes and technologies which address the challenge of poor drug bioavailability. The RISE scheme supports secondments, meaning that early stage and experienced researchers are sent to consortium partner institutions to advance studies on pharmaceutical preformulation, dosage forms and drug delivery systems and methods of biopharmaceutical evaluation. The ORBIS project enables secondees to gain news skills and develop their competences in an international and intersectoral environment, strengthening the human capital and knowledge synergy in the European pharmaceutical R&D sector.

Knowledge Synergy Among Lecturers in Public Universities in Rivers State

Knowledge synergy refers to a continuous knowledge creation process which fuses people with diverse capabilities from diverse places, departments, organizations, institutions and facilities to share, exchange, integrate, combine and transfer their knowledge as they work together to achieve the same goal rather than individuals working independently. Knowledge synergy is pivotal in the achievement of university goals because it kindles productivity. The researchers examined knowledge synergy among lecturers in public universities in Rivers State. Three research questions were answered and three corresponding hypotheses were tested in this study. The study adopted a descriptive research design. The population of the study comprised all the 2330 lecturers in the three public universities in Rivers State, Nigeria. The sample size was 746 lecturers. The stratified randomsampling technique using 32% of the population gave the sample size. The researchers made instrument titled Knowledge Synergy among Lecturers in Public Universities Questionnaire (KSLPUQ), was used for data collection. The instrument contained 43 items that addressed the three research questions. Face and content validities were ensured. The reliabi1ity coefficient of 0.92 was obtained with the help of Cronbach alpha. Descriptive statistics: mean and standard deviation was used to answer the three research questions while the z-test statistics was used to test the three null hypotheses at 0.05 level of significance. It was found out among others that lecturers practice knowledge synergy to a very great extent in the three public universities in Rivers State. Again, the types of knowledge synergy practised are academic conferences, workshops, seminars, joint authorship, general staff meetings and one-on-one discussions. It was recommended among others that; heads of department should always pair senior and junior lecturers in the discharge of teaching and non-teaching activities to enrich their knowledge level. Universities’ Vice Chancellors, Deans and Provost should also be able to make knowledge synergy a prerequisite for promotion in the university system.

Challenges of cultivating critical citizens in Hong Kong

PurposeThe purpose of this paper is to offer the latest empirical findings of the difficulties and challenges in teaching New Senior Secondary (NSS) Liberal Studies in Hong Kong from the perspective of pre-service teachers.Design/methodology/approachThis qualitative study is based on Danielewicz’s critical pedagogy framework for identity development. A sample of four pre-service teachers were recruited from the last cohort of final-year bachelor of education students at the University of Hong Kong. They were invited to engage in dialogues of enquiry, through which they recount their teaching encounters during their teaching practices. Emphasis would be put on two relevant pedagogical principles, including deliberation and reflexivity, which are of particular relevance to the case of Liberal Studies.FindingsChallenges revealed the dispositions of conformist learning among the students, manifested in forms of misquoted information and the populist sentiments mirrored from mainstream media, which cost teachers extra efforts to facilitate inquiry-based learning. Adopting deliberation and reflexivity as pedagogical principles, student–teachers responded with attempts to reconnect daily life experiences to teaching, bringing back the social context of knowledge and seeking synergy between traditional and liberatory teaching methods.Research limitations/implicationsThis study is drawn from a relatively small sample of pre-service teachers and may run the risk of over-generalization. Moreover, this study tends to neglect other factors such as classroom dynamics, school culture, colleagues’ rapport and students’ responses.Originality/valueGiven the novelty of Liberal Studies as a compulsory subject under the NSS curriculum and its specificity in Hong Kong education system, the amount of literature devoted to this area has been inadequate; among the available studies, the majority tend either to focus on the macro level, addressing the broader narratives of education policies and curriculum studies (e.g. Fung and Yip, 2010; Cheung and Leung, 1998) or to discuss the topic with exclusive reference to political transition and post-colonialism in the 1980s and 1990s (e.g. Morris and Chan, 1997). Studies on the micro level have generally paid little attention to the dynamics of Liberal Studies teaching, focusing instead on its relationships with other aspects such as private tutoring (Chan and Bray, 2014) and cultural representations of religion in Liberal Studies textbooks (Jackson and Han, 2016); pedagogical studies on the subject remain a minority.

Evaluation of knowledge synergy components

There is no doubt that knowledge is a key asset of any organisation, enabling it to get a competitive advantage, implement innovation, deal with diffi culties and improve its management processes. Requirements on employees´ knowledge have been rising in recent years, especially with regard to the new trends and currently the widely discussed fourth industrial revolution. In the emerging network economy and knowledge society, organisations must be ready for complex knowledge dissemination and management processes. Knowledge is collected, stored, assessed, and created by an organisation and shared by its members. In the course of knowledge dissemination, members of the organisation create synergy which generates unique knowledge. Managing organisational knowledge necessary for the creation of added value and the acquisition of a competitive advantage requires evaluating the knowledge synergy and its components. The paper aims at identifying knowledge synergy components and providing an evaluation method of employees’ knowledge synergy and its components to have a rational and objective evaluation of employees’ knowledge, relations among employees, and organisational knowledge synergy. To achieve this aim, knowledge synergy components are identifi ed, evaluation issues are revealed, types of knowledge synergy relations are presented together with an evaluation formula for each of these relations, components of employees’ knowledge and factors refl ecting knowledge content are specifi ed, an evaluation formula for each component is provided, and an organisational knowledge synergy evaluation method is described. Due to its versatility, presented results are applicable in any industry or business area for measuring and improving intellectual capital as well as for benchmarking purposes. The research applies methods of analysis, synthesis, graph theory and combinatorics as well as a systematic approach.

Self-organizing expert communities in educational projects

Purpose of the study. The purpose of the study is the problem of forming a knowledge model of a specialist with higher education that is a part of an educational project. Its relevance is related to the need for an adequate response to strengthening the scientific and technological progress dynamics and the transition to the information interactions economy in the current conditions of the higher education system. Materials and methods. The information base of the research includes the laws on education of the Russian Federation, educational standards of higher professional education, scientists’ publications on the issues under investigation. The study used the following methods: system analysis, active systems theory, reflexive control theory, and modeling. Results. The research analyzes the consequences of Russia’s entry into the Bologna Convention on education. It shows that this event caused the problem of efficiency and quality of training specialists, as well as the problem of integrating higher education institutions into a new social and economic system related to their adaptation to market relations. According to the principle of institutional autonomy, solution of these problems is the responsibility of universities. The paper shows that the way to solve these problems is to transfer universities to a design and technological type of administration. The most promising form of education project management is the model of information interaction within the framework of active self-developing network expert environments. The elementary part of such an environment is an expert professional, who owns modern telecommunication technologies and Internet means. Integration in the natural intelligence network structure forms a collective strategic subject, which is a tool of a knowledge and action synergy in the interaction process. The paper describes the developed structure of the active self-developing network expert environment and two principles of its functioning as an active multi-agent system when forming a specialist knowledge model. It is proposed to consider the construction of specialist’s knowledge model in the context of corporate knowledge management strategies in organizations to increase competitiveness, as the established support systems for organization knowledge lifecycle and specialist’s integral knowledge model are used to integrate strategic corporate tasks with strategic tasks of developing employees’ corporate knowledge. They consider a specialist as an element of a company production system. His purpose is to give a product specified quantitative and qualitative parameters that ensure its competitive advantages. To carry out production activities, a specialist uses a complex of abilities, knowledge and skills that should be considered as models of his production and technological activities. At each moment, this complex should be considered as a subjective model of its production and technological activity. This creates a basis for a university self-development process by involving advanced consumers using network technologies in the innovative process of improving educational services, receiving ideas or content by referring to their creative abilities in exchange for a reward that corresponds to a contribution. The paper proposes a system that provides a direction for finding solutions and ideas, as well as filtering, summarizing information, determining its value and prospects. It is shown that the method of improving the quality of solutions on an educational project is the synthesis of crowdsourcing technologies, network expertise and the methodology of the active systems theory. Conclusions. The proposed approach allows considering the process of extracting new ideas and knowledge when forming a specialist’s knowledge model as an active system with heterogeneous agents with a counter way of sharing information and active influence of the center in the form of queries to obtain reflexive estimates. It also allows ensuring the interaction of universities and an organization in managing their intellectual capital.

Modelling Knowledge Synergy Evaluation

Although nowadays knowledge is considered one of the main resources in organisations to create competitive advantage, there is a lack of research dedicated to the subject of knowledge and in particular knowledge synergy.

Synergy evaluation of industry-university-research institute synergetic innovation system based on knowledge creation

Industry-university-research institute (IUR) synergetic innovation (SI) has become the leading-edge innovation mode to promote significant knowledge and technological innovations in China. This article establishes an evaluation index system and evaluation model for system synergy of IUR-SI based on knowledge creation combining the innovation theory with a multi-level extension evaluation method. The index system divides the system synergy of IUR-SI into four subsystems including knowledge synergy capability, relationship synergy capability, innovation synergy capability and synergy performance. we verify the evaluation model taking IUR-SI system of a region in China as an example. The purpose of the paper is to systematically, scientifically describe and analyze various constituent elements of IUR-SI system, as well as various level indicators reflecting efficiency and effectiveness of the system, in order to find the key points of system operation, and enhance the level of collaborative development of scientific and technological innovation systems in China.