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    20 November 2020, Volume 41 Issue 11 Previous Issue    Next Issue

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     Multiple mediation model of collective horizontal co-opetition and supply chain agility
    Liao Kaicheng, Zhang Yuchen, Leng Zhimin
    2020, 41(11): 14-24. 
    Abstract ( 246 )  
     In an unpredictable, continuously and rapidly changing competitive environment, enterprises must have the ability to survive, develop and expand their competitive advantages. Agile supply chains can quickly aggregate proprietary assets, knowledge and relationships, turning unpredictable market uncertainties and potential supply chain disruptions into competitive opportunities. In addition, it enables enterprises to respond to market fluctuations and other uncertainties in a timely and flexible way, helps enterprises to occupy a more favorable position in market competition. This also means that in the context of market-oriented competition, the competition between industries is not only the competition between enterprises, but more of the competition between supply chains, supply chain agility has become a key factor affecting the competitiveness of enterprises. Therefore, how to improve the agility of enterprise supply chain to help enterprises occupy a favorable position in the complex and volatile environment has become an important topic of enterprise strategy research.
    Although the research on supply chain agility theory has made a lot of achievements, one common point of existing literatures is that they are all based on the background that supply chain enterprises only exist pure cooperative relationship or competitive relationship. Recent studies have found that supply chain networks also have co-opetition relations, not only between upstream and downstream enterprises in the supply chain, but also between horizontal supply chains. Therefore, it is incomplete to discuss the agility of supply chain in the background of only pure cooperative relationship or competitive relationship among supply chain enterprises. Supply chain agility needs to be re-examined in the context of Supply chain co-opetition relations, and many problems need to be explored and proved. Among them, the influence mechanism of horizontal co-opetition in industrial clusters on supply chain agility is an important problem that lacks in-depth research. This is because China is in the process of industrial cluster upgrading, and the cluster shows the state of collective horizontal co-opetition, which accelerates the market response speed of enterprises. However, the existing industrial cluster theory is difficult to explain the objectively existing social and economic phenomena, so we need to find a new way to explore and study them from a new perspective. At the same time, will supply chain co-opetition affect supply chain agility? What is the path of influence? What factors reinforce or weaken this process of influence? There is a lack of discussion in the existing literature.
    Therefore, based on dynamic capability theory, social network theory and organizational learning theory, this paper deeply discusses the influence mechanism of collective horizontal co-opetition on corporate supply chain agility, Bootstrap test method is adopted to carry out empirical research on the questionnaires of 216 large enterprises in professional markets. It is found that collective horizontal co-opetition has a positive and significant effect on supply chain agility directly or indirectly. There are three intermediate paths between collective horizontal co-opetition and supply chain agility. Among them, network embeddedness mediation path has the greatest influence on supply chain agility, followed by organizational learning ability mediation path, the chain mediation path of network embeddedness and organizational learning ability has the least impact on supply chain agility and network embeddedness is the only mediator between collective horizontal co-opetition and organizational learning ability. The theoretical significance and innovation of this paper are mainly reflected in the following aspects. First, it makes up that the existing literature is based on the background that supply chain enterprises only exist pure cooperative relationship or competitive relationship, thus ignoring the latest understanding that supply chain enterprises exist co-opetition relationship. Second, a theoretical hypothesis that collective horizontal co-opetition influence supply chain agility is proposed and tested. This paper reexamines supply chain agility in the context of the co-opetition relationship, which is not only a breakthrough in the theoretical study of supply chain agility only carried out in the context of a single cooperative or competitive relationship, but also the biggest innovation realized in this study and the biggest difference from previous studies. Third, the discussion of supply chain agility from the perspective of industrial cluster can not only theoretically explore the relationship between supply chain co-opetition and supply chain agility, but also enrich and extend the existing theoretical framework of supply chain agility.
    At the same time, the conclusion of this paper emphasizes that enterprises should pay more attention to the construction of social network relations in the process of supply chain management, expand network scale through co-opetition, and enhance network density and relationship strength. Attach importance to establishing and perfecting trust relationship with enterprises in the supply chain, and strengthen the stability of network relationship between enterprises′ supply chain, establish and improve the trust relationship with enterprises in the supply chain, and strengthen the stability of the network relationship between enterprises in the supply chain. The partners in the supply chain should also strengthen the exchange and interaction of information and strategy, establish an information sharing platform. In addition, in the process of supply chain management, enterprises should pay more attention to the cultivation of organizational learning ability, improve the ability of knowledge acquisition and utilization, and attach importance to the process of knowledge integration and innovation. The social network formed through co-opetition is more conducive to the dissemination and sharing of enterprise knowledge, the cooperation relationship can promote the acquisition of enterprise knowledge, and the competition relationship can stimulate the innovation of enterprise knowledge.
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     Research on the evaluation index system of national innovation environment: A perspective of innovation system
    Zhao Yanfei, Li Yuchen, Chen Kaihua
    2020, 41(11): 66-74. 
    Abstract ( 311 )  
     Innovation system affects the development, diffusion and use of innovation. Innovation environment plays an important role in the operation of the innovation system and it influences the relationship among the innovation subjects, and the performance of the innovation process. Then, this paper reviews the research on the innovation environment at home and abroad. In general, regardless of foreign or domestic scholars, their main concern is focused on the definition, components of the innovation environment, and its impact in innovation ability and innovation performance. Foreign research scholars pay attention to the interaction among innovation subjects, the role of policy environment and industrial clusters. While domestic scholars prefer empirical research on the impact of innovation environment on innovation activities. At present, the main evaluation is based on the direct evaluation of the comprehensive indicator system and the indirect evaluation based on the measurement model analysis. However, there is currently a lack of research on innovation environment evaluation, especially from the perspective of innovation systems. Therefore, based on the perspective of innovation system, this paper studies the national innovation environment evaluation index system. 
    This paper adapts the methods of literature analysis and theoretical research. On the basis of reviewing the research on innovation environment and innovation system at home and abroad, this study discusses the evaluation index system of innovation environment from the macro level and tries to make the index selection and evaluation system scientific with the basic principles of systematic, rationality and comprehensiveness. 
    Aiming to understand the development process of innovation system research, this research objects and characteristics of innovation system analysis methods, this paper sorts out the research on innovation systems at home and abroad. In general, the innovation system examines innovation activities from a holistic perspective, which focuses on the analysis of innovation subjects and their interactions and relationships. The innovation system can be abstracted into three parts: subject, mechanism and information. The mechanism of interaction between innovation subjects and the way and method of regulating their actions plays a crucial role in the operation of the entire innovation system. Early foreign scholars conducted an in-depth analysis of the definition of the innovation environment, arguing that the innovation environment is a network relationship, more accurately a systematic institutional arrangement. Domestic scholars have developed on the basis of previous studies, and believe that the innovation environment is the supporting condition for innovation activities and changes with the development of objective factors, with dynamic and static characteristics. Based on a review of the research on innovative environments, this article proposes a definition of the innovation environment: innovation environment is an critical condition for supporting innovation activities, which not only includes the network relationships formed between the various actors, but also includes the institutional environment, infrastructure, policies and regulations, education environment, and international environment and so on. It can be divided into soft environment and hard surroundings. 
    Based on the theory of innovation system, this paper proposes five dimensions for evaluating the national innovation environment: talent environment, capital environment, market environment, entrepreneurial environment, and competition and cooperation environment. Talent is the most critical factor in the entire innovation activities. The successful development of innovation activities cannot be separated from high-quality talents. The talent environment includes talent training, talent introduction, talent use, and skills training. Funding is an important supporting condition for innovation activities. Without sufficient research funding support, innovation activities are also unsustainable. The financial environment includes fund management, government funding, corporate investment, and fiscal incentives. A good entrepreneurial environment is helpful for the transformation and application of new technologies and the smooth introduction of new products to the market. Entrepreneurial environment includes entrepreneurial difficulty, venture capital, entrepreneurial days, and technology acquisition. The market environment provides more opportunities for innovation activities, especially the intellectual property protection system to encourage more innovative behaviors to occur. Market environment includes laws and regulations, government procurement, intellectual property, and government management. Competition and cooperation are important ways for all entities to innovate, which is conductive to the flow and diffusion of knowledge and technology and improve the overall innovation ability and innovation efficiency. The competition and cooperation environment includes local industry competition, and anti-monopoly policy effects, industry-university-research cooperation, and international R&D cooperation.
    The main contributes of this paper in this filed are as follows: First, based on the literature review, this paper proposes the definition of innovation environment and enriches previous research. Second, it builds an innovation environment evaluation index system from five dimensions, which provides a reference for comprehensive and scientific evaluation of the innovation environment. Third, in addition to paying attention to the innovation environment itself, it also follows closely to evaluate the role of the innovation environment in the innovation subjects and the innovation process. In terms of the selection of the indicator system, it designs some indicators to describe the relationship between them, which enriches the existing researches. Unlike previous studies, this paper focuses on the innovation environment itself, trying to open the "black box" of the innovation environment and expounding the status quo and characteristics of each dimension.
    There are still some limitations in this research: First, the secondary indicators were chosen do not fully reflect the content and quality of the innovation environment since the choice of indicators is limited by the availability of data. For example, the innovation team plays an important role in current research activities, but it is not well reflected in the talent environment. Second, the correlation and independence between the innovation environment indicators were not tested, mainly through theoretical research and literature analysis. Third, the methods of data processing and indicator evaluation have not been discussed, which is the focus of follow-up research.
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