Urban Hierarchy of Innovation Capability and Inter-city Linkages of Knowledge in Post-reform China

The 2000s has witnessed increasing interests in cities′role of innovation in the era of knowledge-based economy.Compared with substantial empirical analysis on the world city hierarchy of innovation,this paper attempts to examine the national urban hierarchy of innovation capability in China,in terms of ranking systems,spatial pattern and inter-city linkages of knowledge during the post-reform period since the late 1970s.Based on quantitative analysis such as principal component factor analysis and clustering analysis,this paper identifies the five-tier hierarchy of in-novation,which is headed by Beijing and Shanghai,followed by the capital cities of each province and regional centre cities.The development of China′s urban hierarchy of innovation capability has been driven by such factors as the scale of innovation,scientific scale,innovation potential and innovation environment.The paper further investigates the inter-city linkages of knowledge measured by the number of co-authored papers among the cities.Beijing is positioned in the central position of the knowledge diffusion and knowledge cooperation innovation.More knowledge diffusion among high level cities has occurred than that among the low level cities as well as between the low level cities and high level cities,and provincial capital cities and the regional central cities.

Secondary relative evaluations on regional technology innovation capability in SMEs

According to this problem that every regional technology innovation of SMEs and innovation environment are different, the method on secondary relative evaluation to measure the innovation capability of SMEs in 9 provinces and 3 municipalities is developed in this paper. First the Fuzzy Integral Comprehensive Evaluation is adopted to measure the comprehensive index states of technological innovation of SMEs in different regions, and then the BCC model in Data Envelopment Analysis is used to calculate the secondary relative evaluation of regional technology innovation capability in SMEs, so that this method not only settles the relevance between indexes influencing regional technology innovation capability of SMEs, but also eliminates the influence of objective basic condition, and then provides bases for every region to make out policies and rules on technological innovation of SMEs and for enterprise to establish relevant strategy of technological innovation.

An Evaluating Model for Enterprise's Innovation Capability Based on BP Neural Network

To meet the challenge of knowledge-based economy in the 21st century,scientifically evaluating the innovation capability is important to strengthen the international competence and acquire long-term competitive advantage for Chinese enterprises.In the article,based on the description of concept and structure of enterprise's innovation capability,the evaluation index system of innovation capability is established according to Analytic Hierarchy Process(AHP).In succession,evaluation model based on Back Propagation(BP) neural network is put forward,which provides some theoretic guidance to scientifically evaluating the innovation capability of Chinese enterprises.

Research on the Evaluation of the Enterprise＇s Technology Innovation Capability

With the fast development of technology and the fierce market competition, technology innovation has been put on firm agenda to each enterprise＇s success. Under this circumstance, how to improve the innovation capability of enterprise is very important. Meanwhile, how to evaluate the enterprise＇s innovation capability becomes a key point. This paper analyses the content of enterprise＇s innovation capability based on the innovation process. A set of evaluation index systems of enterorise＇s innovation capability have also been given out.

A Study on Evaluation Model of IT Industry’s Innovation Capability Based Variable Weight Theory

In this paper, IT Industry＇s innovation capability is considered to be the innovation output capability after complex operation of industry input in industry system. In this complex process, R＆D personnel input and R＆D expense input are un-substitutable, and for evaluation of innovation capability, innovation input and innovation output also are un-substitutable. Based on this theory, an evaluation model of sustaining strength index is put forward. Considering both input scale and output contribution of IT industry＇s innovation system, this model reflects the un-substitutability of every evaluation aspects. The measurement result not only shows the industry innovation capability, but also reflects the support degree to economy. At last the data of IT industry in China are provided between 1994 and 2004 for empirical study.

An Empirical Study on the Effectiveness of Technology Market Promoting Technological Innovation Capability—Based on panel data in the Yangtze River Delta

Based on panel data such as 2009-2018 R&D expenditures,full-time equivalent of R&D personnel,Number of valid invention patents,and technology market turnover in China's Shanghai,Jiangsu,Zhejiang,and Anhui provinces(cities),using Griliches-Jaffe knowledge to produce Function,construct Time fixed effects model,conduct empirical research on the main factors affecting the technological innovation capability of the Yangtze River Delta,focusing on the relationship between the technological market and technological innovation capability.The results show that human capital and R&D expenditures have a significant and positive impact on the technological innovation capacity of the Yangtze River Delta.Although the technology market has a positive effect on the scientific and technological innovation capacity of the Yangtze River Delta,the effect is not significant.Propose countermeasures and suggestions to strengthen the influence of the technology market on technological innovation.

Dynamic Evaluation and Analysis of Regional Innovation Capability in Eastern China from the Perspective of High-quality Development

The economy of China has turned to the stage of high-quality development. In this sense,the connotation of regional innovation capacity should reflect more aspects, such as better economic effectiveness, people-centered philosophy of development and better living conditions. This study aims at establishing the evaluation index system of regional innovation capacity under high-quality perspective.Then the dynamic evaluation method based on gray correlation degree and TOPSIS is improved. And the improved method is applied to evaluate the regional innovation capacity under high-quality development perspective. The results show that: 1) The regional innovation capacity of Jiangsu, Zhejiang,Shanghai and Guangdong under high-quality development perspective is better than other regions,while the regional innovation capacity of Beijing-Tianjin-Hebei is imbalanced. Regional innovation capability of Fujian, Shandong, and Hainan from a high-quality perspective is at the middle and lower levels. 2) From the perspective of development trends, the gap of regional innovation capacity between Beijing, Jiangsu, Zhejiang, Shanghai, Guangdong and Fujian, Hebei, Shandong is gradually narrowing.3) An in-depth analysis of the regional innovation capability of the eastern provinces and cities from the perspective of high-quality development through different dimensions shows that Beijing, Guangdong, Jiangsu perform well in all dimensions, while Fujian and Hainan need to pay more attention to innovation input and the creation of a better innovation environment to enhance innovation output and promote innovation effectiveness. At last, based on above analysis, relevant policy recommendations are proposed.

Shaping the handicraft cluster through innovation capability

There are several enablers to the innovation capability in the exisiting literature,but they all are considered with equal importance.Researchers believe ranking will advance the understanding of academicians and practitioners further.Hence,we started by recognizing the enablers from the available literature and exploring the possible causal relationship among them.A framework based on the causal relationship among the enablers is proposed.Grey DEMATEL(Decision-making trial and evaluation laboratory)has been used to establish this causal relationship.This study identifies nine of the fifteen enablers as causal factors.They are as follows:Knowledge Exploration,Ideation and Organizational Structure,Organizational Climate,Risk Taking Ability,Collaboration and Networking,Institutional Support,Rejuvenation and Upgrading,Leadership Practices,Technological Adaptation.Practitioners,academicians,and policymakers will have a better understanding of this causal relationship among enablers.Knowledge of these enablers will help in fostering a more conducive environment for escalating the process of innovation in the handicraft cluster.

Capability Innovation and Competitiveness

A firm can be thought as the combination of a series of capabilities. Some key capabilities owned by a firm are untradable, unimitable and unsubstitutable. These capabilities are considered to be the core capabilities. The core capabilities determine the firm＇s comparable competitive advantages. The continuous capability inrtovation can further strengthen the firm＇s competitiveness. Resources are the foundation of the capabilities. The foundation of capability innovation depends on the investment and restructuring of resources. The core products are the carders to the firm＇s core capabilities and other capabilities to satisfy the market＇s needs. The core products are the core components of the end products. The market share of the core products is more important to a firm.

Does Industry-University-Research Cooperation Matter? An Analysis of Its Coupling Effect on Regional Innovation and Economic Development

The dislocation between regional innovation and economic development directly influences the economic effect of regional innovation. However, no in-depth researches have been made on how to solve this problem. Using data from Henan Province, China,employing geographical detector technology, this paper focuses on testing whether the industry-university-research cooperation can contribute to coordinating the relation between regional innovation and economic development. It is shown that: 1) the industry-universityresearch cooperation in Henan Province is increasing gradually, and the network presents a core-edge structure, and the coupling degree between regional innovation and economic development is spatially unbalanced, which is similar to the spatial distribution of the intensity of industry-university-research cooperation;2) as an important approach to effectively connect scientific researches with market demands, the industry-university-research cooperation can help form an interactive, interconnected, coupled and coordinated virtuous relation between regional innovation and economic development. Compared with the cooperation between organizations of the same type and the separate innovation of organizations, the improvement of the industry-university-research cooperation level can better coordinate the relation between regional innovation and economic development;3) the cooperative innovation model between enterprises and universities can better promote the coupling between regional innovation and economic development, compared with many industryuniversity-research cooperation models. For underdeveloped areas lacking local knowledge base, industry-university-research cooperation should be considered as a long-term development strategy, especially using the knowledge sources of external universities and scientific research institutions to enhance innovation capability and achieve economic growth.

Do smart city policies improve energy efficiency?Evidence from China

To address air pollution and offer a convenient and comfortable living environment,the Chinese government launched a smart city pilot(SCP)project in 2012,accompanied by a comprehensive set of environmental and energy-related laws and regulations.Although academic interest in smart cities has surged,there remains a notable gap in empirical research exploring the economic,environmental,and energy effects of such initiatives.Taking 232 prefecture-level cities from 2003 to 2017 as research subjects,this study measures energy effi‐ciency by using energy consumption per unit of GDP and adopts a difference-in-differences(DID)analysis to investigate the impact of SCPs on energy efficiency.The empirical results indicate that SCPs improved energy efficiency by promoting urban technological innovation capabilities and green total factor productivity,and this effect was more pronounced in cities that were more dependent on traditional fossil fuel energy sources and had more developed fiscal and financial levels.Studying the impact of smart city construction on energy utilization efficiency in developing countries,such as China,is not only significantly enlightening for China’s green and low-carbon transition but also provides reference opinions for constructing smart cities and the path to enhancing energy efficiency in other developing countries.The findings provide valuable insights into the global development of smart cities,urban sustainability,and high-quality economic growth.

Investigating the mediating role of innovation capabilities in relationship between strategic orientation and market performance: a case study of Tabriz State Hospitals

Introduction:Innovation is the creation of new products,services,processes or systems that first begin with a thought and is put into operation after successful implementation.This research aims to investigate the mediating role of innovation capabilities in relationship between strategic orientation and market performance in Tabriz state hospitals.Methods:This study is an applied research in terms of the purpose and it is a descriptive-correlative research in terms of methodology.The statistical population involves the staff of Tabriz state hospitals consisting 362 individuals who were selected randomly.A questionnaire was used to collect data from statistical sample.The strategic orientation was operationally defined based on Laek Cannon et al.’s(2011)model,innovation capabilities were defined based on Jimens-Jimens and Sanz Vale’s(2010)model and market performance was defined based on Hajipour et al.’s model(2012).Results:The results showed that the value of CHI SQUAR/DF for the estimated model is 0.817 which indicates the proper fitness of the model.Considering the standardized factor loads and meaningfulness coefficient it can be suggested that strategic orientation affects market performance with the mediating role of innovation capabilities.Meanwhile,the effect of strategic orientation and innovation capabilities on the market performance was confirmed based on the linear regression results.Conclusion:Innovation capabilities play an active role in the relationship between strategic orientation and market performance.Therefore,senior management of organizations needs to work to improve their performance by supporting the ability to innovate and formulating and implementing strategic orientations.

Innovation capabilities and their dimensions:A systematic literature review

Innovation capabilities(ICs)represent a crucial source of competitive advantage for firms.However,the literature on ICs is extensive,leading to a diverse understanding of their nature and measurement.A notable gap exists in delineating the dimensions constituting ICs.This article aims to address this gap by identifying and pinpointing the various dimensions of ICs through a systematic literature review(SLR).The initial step involves identifying the diverse dimensions used in ICs,providing a distinctive insight for assessing their metrics.Notably,this SLR stands out as the only comprehensive analysis of various ICs dimensions,organizing them coherently.Examining 103 articles from the Web of Science and Scopus databases spanning from 2001 to 2022,the results reveal an amalgam of scales and associated approaches for IC measurement.This study contributes to the literature by systematically identifying and analyzing the main dimensions employed by researchers to measure ICs.Additionally,it highlights the foundational theoretical approaches of the identified studies.In practical terms,the study consolidates and presents the identified dimensions and metrics in integrative tables,offering researchers and companies valuable insights into diverse innovation paths that impact performance.

Fostering firm innovativeness:Understanding the sequential relationships between human resource practices,psychological empowerment,innovative work behavior,and firm innovative capability

This study investigated the relationships between human resource(HR)practices,employee psychological empowerment,employee innovative work behavior,and firm innovation capability in the context of the Information and Communication Technology(ICT)sector in Jordan.Employing the Social Exchange Theory(SET)as a guiding framework,this study explored how employee psychological empowerment and innovative work behavior mediated the influence of HR practices on a firm’s innovative capabilities.Drawing on extensive data collected from ICT organizations in Jordan,our analysis had several key findings.A significant positive correlation between HR practices and psychological empowerment was observed.Job design emerged as the most influential factor affecting psychological empowerment,whereas compensation had a weaker impact.Furthermore,we established that psychological empowerment significantly enhanced innovative work behavior,underscoring its role as a catalyst for innovative work behavior within the sector.Finally,our study supported the theory that psychological empowerment influenced a firms’innovation capabilities,emphasizing the pivotal role of employee empowerment in driving firm-level innovation in the Jordanian ICT sector.These findings provide insights for academic and practical audiences,clarifying how HR practices,employee psychological empowerment,and innovative work behavior collectively influenced firm innovation capability within the unique context of the Jordanian ICT sector.

Research on the Physical Teaching Model in Cultivating Students＇ Innovative Ability

As we all know, innovation is the soul for a nation＇s progress. As talent training educational institutions, there is no reason to ignore the importance of innovation. During the teaching process, it＇s of great important to develop the overall quality of the students, including morality, intelligence, physic, aesthetics, and labor. Physical education, as a task of the course of education, to a great extent, has the responsibility and obligation to develop students＇ ability for innovation. As regard to the education and instruction of creative ability, it must go through a complete change from the ideological level. We need to enhance students＇ enthusiasm for sports. By learning the basic knowledge of sports, as well as teaching and learning of motor skills, students will be developed in the ability of independent thinking and creation.

Research on Technology Opportunity Identification of Small and Medium-sized Vaccine Enterprises Based on Patent Analysis

Objective To propose a method for identifying cooperation partners and technology opportunities based on technological similarity and technological capability analysis at the critical moment for the survival of small and medium-sized vaccine companies.This method can provide a direction for small and medium-sized enterprises that lack human and financial resources to make full use of its existing technologies.Methods Data analysis was carried out based on patent data.First,through cosine similarity and patent index evaluation,companies with high technological similarity and strong technological capabilities were selected as the target of cooperation.Then evaluation index system of technological development potential was built from three dimensions:technological competitiveness,technological creativity,and potential for industrialization.AHP-CRITIC method was used to determine the comprehensive development potential of each technology.Finally,technology opportunities based on K-means and text mining were identified.Results and Conclusion This method can help small and medium vaccine companies in China to identify technological opportunities and provide directions for product development.

Differences Among Industrial Companies in Their Innovative Efforts and Competitiveness： On How Size, Technological Level and Subcontractor Character Matter

The aim of this research is to test to what extent do the classifying variables of company size, technological level and subcontractor nature moderate on the causal relationship between a finn＇s innovative capacities and its competitiveness. To this end, we use a random sample of 861 manufactttring f＇Lrms with 10 or more employees from the Basque Autonomous Community （in Spain）, accounting for 26.29% of the population. Maximum sampling error is 2.87% for a 95% confidence interval. We start from a competitiveness general model of the firm, and set out under the resource based view of the finn, which had been previously tested and validated by Martinez （2009） for the whole sample. The model is formed with the constructs of management capabilities, innovative capabilities, marketing capabilities, quality capabilities, current competitiveness and future competitiveness. From this point, we test a set of alternative hierarchical models both for the total sample and for different divisions in sub-samples, according to the intervals of size in number of employees, OECD technological levels and firms＇ subcontractor character. The innovative capabilities construct is reflected in the items of radical product innovation, incremental product innovation, innovation in the production process, innovation in marketing, management innovation and the efforts in company workers＇ training and development. From all these items, previous descriptive data analysis showed that although product radical innovation was the most representative capability for superior innovativeness, it was at the same time the least evident from all the aforementioned items in the case of the analyzed Basque industrial companies. The analysis of results led us to conclude that the factor of innovative capabilities was the most influential on current competitiveness among the whole sample. In particular, as regards the size factor, this positive effect dilutes in the case of smaller companies. In the same manner, whereas in the case of the companies with higher technological level it is verified that the factor of innovative capabilities reveals crucial, in the group of fhans with lower technological level the most relevant factor is quality. Also, the same effect is evidenced for the case of the subcontractor/non-subcontractor nature of the finns： The first ones show quality as the most relevant construct while for the second ones it is the innovative capabilities.

Export,subsidy and innovation:China’s state-owned enterprises versus privately-owned enterprises

In this study,we advance the literature on export and government subsidy by examining their effects in the context of China,a fastgrowing emerging economy,and comparing the effects across ownership of enterprises.We examine the relationship among export,government support and firms’innovation capability,and how these relationships differ between state-owned and private owned enterprises,by using a large data sample of Chinese firms(2003–2007).First,we find that there exists an inverted U-shaped relationship between export and innovation in state-owned enterprises,but not in private owned enterprises.Second,there is a positive effect of government subsidy on firms’innovation capability.Finally,from the sub-sample analyses,we identify differences in the impact of government support between SOEs and POEs.This study will inspire future research into these issues in the disciplines of marketing,management and international business.

Evolutionary stable strategies for business innovation and knowledge transfer

Evolutionary game theory expands into a number of areas that go beyond the biological concept of evolution to include sociology,economics,and business management.Social networks determine definite interactions between individuals in social settings.The common nature of these two broad areas of research generates interest in applying the approaches of evolutionary game theory to social network-based problems.Knowledge transfer that occurs in the process of social interaction improves a company's innovation capability.This paper attempts to explore ways in which networks relate to knowledge transfer on the basis of evolutionary game theory.We offer a simple mathematical model to examine the interaction of knowledge transfer and actor behavior in games of coordination.