Loading...
主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Table of Content

    20 December 2021, Volume 29 Issue 12 Previous Issue    Next Issue
    Articles
    Investigating Bank-Firm Systemic Risk within a Multilayer Network
    MA Qian-ting, YANG Wen-ke, HE Jian-min
    2021, 29 (12):  1-14.  doi: 10.16381/j.cnki.issn1003-207x.2020.0803
    Abstract ( 346 )   PDF (4138KB) ( 682 )   Save
    Little is known about the bank-firm systemic risk from the perspective of the diversification of related businesses connections between banks and firms. To investigate the systemic risk of bank-firm system from the perspective of lending relationships with different loan terms and common asset holding relationships of different investment cycles, a multilayer network model is proposed. Based on the multilayer network model, the respective impact of multilayer network structures and the behaviors between banks and firms on the systemic risk is explored. The results are as follows. Regarding the multilayer network structures, the systemic risk under the combined impact of the multilayer network is significantly greater than the combined effect of any two-layer network, and the heterogeneities of multilayer network nodes has capability to resist the systemic risk. As for bank-firm subject behaviors, the longer loan term and the longer investment cycle increase the systemic risk to a certain extent, while the investment cycle is more sensitive. Decreasing the proportion of long-term investments and increasing the selection proportion of external assets can reduce the systemic risk, while the selection ratio of borrowing objects has little effect on the systemic risk relatively. The research of this paper is conducive to digging deep into the internal relationships among the multilayer network structures, the bank-firm subject behaviors and the systemic risk from a theoretical level. The above research results have certain theoretical reference value and practical guidance significance for the supervisory authorities to prevent the systemic risk and maintain the stability of the financial market.
    References | Related Articles | Metrics
    Systematic Risk Spatial Spillover Correlation and Risk Prediction Analysis of Cross-industry in China’ Stock Market——Based on The Tail Risk Network Model
    ZHANG Wei-ping, ZHUANG Xin-tian, WANG Jian
    2021, 29 (12):  15-28.  doi: 10.16381/j.cnki.issn1003-207x.2019.1649
    Abstract ( 283 )   PDF (2630KB) ( 599 )   Save
    Financial markets have become remarkably volatile since 2008 global financial crisis. Systemic risk in the financial sector triggered by tail events can spread quickly across markets and even between countries. In the recent years, high volatility in stock prices and market crashes (i.e., the “money shortage” in 2013, the “stock disaster” in 2015 and the “COVID-19” in 2020) have been witnessed more frequent and severe. It is noted that financial systemic risks have a significant “generation-contagion-reinfection” mechanism. Although there is cross-institutional transmission, the problem of cross-market and cross-sector transmission have become increasingly prominent. Risk contributions vary across sectors and the risk contributions of individual institutions depend highly on their sect oral affiliations. Therefore, it is particularly important to analyze the systemic risk spatial spillover cross-industry in China’s stock market, identify the most influential industries, capture the source of risks and establish the systemic risk prediction model.
    References | Related Articles | Metrics
    Research on Dynamic Evolutionary Game of Platform E-commerce Credit Supervision from the Perspective of Government Governance
    WANG Xu-hui, REN Xiao-xue
    2021, 29 (12):  29-41.  doi: 10.16381/j.cnki.issn1003-207x.2019.1875
    Abstract ( 247 )   PDF (2473KB) ( 509 )   Save
    There are interactive and adaptive evolutionary courses between the e-commerce platform and consumers. Usually, the actions between e-commerce platform and consumers does not happen simultaneously. In this study, Stackelberg game model is built, where the self-discipline strategy adopted by e-commerce platform and the trust strategy adopted by consumers. In order to crack the credit “regulatory dilemma” of the e-commerce platform under incomplete information, the evolutionary game model under the dynamic penalty mechanism and incentive mechanism are constructed. Firstly, the replicator dynamic function can be described. Secondly, the influencing factors and evolution path of strategic choice between platform e-commerce and consumers are analyzed. Lastly, a numerical analysis is conducted to compare the implementation effect of the dynamic penalty mechanism and incentive mechanism. The results show that the evolutionary track of the e-commerce platform and the consumer through the long-term repeated game, portrays a stable equilibrium and spiral convergence. Specifically, the self-discipline strategy adopted by e-commerce platform when the government enhances the penalty intensity under the dynamic penalty mechanism and incentive mechanism. Moreover, the effect is the same between the penalty mechanism and the incentive mechanism when the government's punishment is smaller than the incentive policy. In addition, it has two-sides, that is, the evaluation of consumer reputation for the e-commerce platform, and the self-discipline strategy adopted by e-commerce platform when the evaluation of consumer reputation for platform e-commerce is higher. However, the non-self-discipline strategy adopted by e-commerce platform when the evaluation of consumer reputation for the e-commerce platform is lower. This research has important research significance and application worthy for the governance of trading on the platform, and it also provides a reference for e-commerce and sellers on the e-commerce platforms.
    References | Related Articles | Metrics
    The Recycling and Resale Strategies of the Online Recycler Based on Government Fund Policy
    LI Zeng-lu, GUO Qiang, NIE Jia-jia
    2021, 29 (12):  42-52.  doi: 10.16381/j.cnki.issn1003-207x.2019.0303
    Abstract ( 159 )   PDF (1662KB) ( 228 )   Save
    With the rapid development of internet, some companies, like aihuishou (www.aihuishou.com), huishouge (www.huishouge.cn), yijiwang (www.58yiji.com) and so on can collect the waste products from the consumers through the online channel. Online recycling in O2O (Online and Offline) has a key different from the traditional wisdoms of remanufacturing, the recycled products can be sold by the online recyclers to consumer as second-hand goods. Moreover, with the implementation of the Extended Producer Responsibility (EPR), the manufacturer is required to pay a certain fund for the recycling of the product, according to the Regulations on the Recycling and Disposal of Waste Electrical and Electronic Products, and this fund will be distributed to the recycler in the form of subsidies. Motived by this, the influence of the government fund policy on the resale strategies of online recycler is explored.
    References | Related Articles | Metrics
    Can Government Subsidies Spur Enterprise Innovation?——Evolutionary Game Analysis on the Innovation Behavior of New and Incumbent Firms
    ZHU Jin-sheng, ZHU Hua
    2021, 29 (12):  53-67.  doi: 10.16381/j.cnki.issn1003-207x.2019.0098
    Abstract ( 229 )   PDF (2142KB) ( 394 )   Save
    In order to investigate the effectiveness of motivation from government subsidies to enterprise innovation, subsidy objects, subsidy intensity and subsidy environment are innovatively integrated into the same analytical framework, and the effect of the government's enterprise innovation subsidies on start-ups and incumbents are be compared. Firstly, on the premise of heterogeneity of innovation preference of enterprises, the evolutionary game model between newly-established firms and incumbent firms under government subsidy is constructed. Then, the threshold model and data of 143 listed enterprises in China are employed to empirically test the influence of subsidy intensity and competition on innovation choice behaviors of different firms. The results show that new enterprises are more accessible to be stimulated by innovation subsidy. Only when the subsidy intensity exceeds the threshold, government subsidy can encourage both types of enterprises to innovate. Fierce competition in product homogeneity weakens the promotion effect of government subsidies on enterprise innovation. Therefore, government should not only continue to increase the support for enterprise innovation, but also implement differentiated subsidy policies for different enterprises, and make reasonable allocation strategy of subsidy resources according to different market competition environment.
    References | Related Articles | Metrics
    The “Local—Adjacent” Effect of Environmental Decentralization and Local Government Competition on Green Technology Innovation
    MA Yue-yue, WANG Wei-guo
    2021, 29 (12):  68-80.  doi: 10.16381/j.cnki.issn1003-207x.2021.0152
    Abstract ( 202 )   PDF (1061KB) ( 313 )   Save
    Green technology innovation is a main approach for enterprises to increase efficiency and reduce emissions. Due to the imbalance between the cost and return of green technology innovation, the greening of technological advances can hardly be realized by market mechanism alone. Hence, government incentives are of particular importance in encouraging corporate green technology innovation. Under the Chinese decentralized system featured by political centralization and economic decentralization, when the central government transfers lots of environmental power to lower administrative units, local departments tend to distort or partially execute national environmental policies for the sake of profit maximization. Moreover, in view of the diversity in the management of environmental affairs, different types of environmental power transferred to local governments vary in their impacts on green technology innovation. Furthermore, while improving the level of local green technology innovation, environmental decentralization shows significant spatial spill-over effects. Existing research rarely touches upon the influence of environmental decentralization on the local area and adjacent areas. Therefore, drawing on provincial panel data between 2003 and 2017, the undesired output EBM model is employed to measure the level of green technology innovation and introduced the green technology innovation index into the dynamic spatial Durbin model to analyze the impacts of environmental decentralization and local government competition on the “local-adjacent” effects of green technology innovation. The research findings are listed below. (1)Green technology innovation has significant route reliance, spatial agglomeration and strategic competition effect in neighboring areas. The change in the influence of environmental decentralization on green technology innovation showed U-shaped fluctuations. Currently the provincial decentralization level is generally lower than the threshold. (2)Administrative decentralization has a nonlinear influence on green technology innovation, supervisory decentralization has a negative influence and the influence of monitoring decentralization is not significant. It was found from examining the interactivity between decentralization and competition that as supervisory power is transferred to local governments, the “race-to-the-bottom” competition between them will be intensified, while the expansion of environmental administrative decentralization contributes to the formation of a healthier competition mechanism. This indicates while reforming environmental administration in China, the central government should incrementally expand the scope of responsibilities for the environmental administration of local governments and shift up the supervisory and monitoring decentralization of environmental power, in order to ensure the authority and authenticity of monitoring results. (3) Environmental decentralization varies in their stimulation effects on green technology innovation depending on regions—the effects are stronger in the central and western regions than in the eastern region. Therefore, differentiated strategies of environmental decentralization should be developed for different regions. For the eastern coastal region where environmental government is in better conditions, environmental decentralization can be weakened, while capital and technological support can be strengthened to match the path dependence of green technology innovation in the region. Meanwhile, in the ecologically fragile central and western regions, the central government may reinforce the power of local governments for environmental supervision and intervention so as to construct the ecological framework through the joint efforts of the central government and central and western provinces. An in-depth study is performed on how green technology innovation is affected by local government competition and the diversity of environmental decentralization and conclusions are drawn that can provide reference for designing an effective stimulation and restrictive mechanism to improve the positive influences of decentralization on green technology innovation.
    References | Related Articles | Metrics
    Effects of FDI and OFDI on Green Total Factor Productivity in China:An Analysis Based on Spatial Econometric Models
    FENG Yan-chao, WANG Xiao-hong, HU Shi-lei
    2021, 29 (12):  81-91.  doi: 10.16381/j.cnki.issn1003-207x.2018.0346
    Abstract ( 252 )   PDF (1039KB) ( 298 )   Save
    Facing the perplexing international situation and the huge task of reform and development, and especially the shock of COVID-19, it’s important and necessary to investigate the synergy effect of FDI and OFDI on GTFP in China by utilizing macroeconomic data, so as to highlight the integrity, systematicness, and relevance of internationalization research.
    References | Related Articles | Metrics
    The Mechanism and Path of Agricultural Product Circulation System Influencing the Fluctuation of Agricultural Products Price—Based on Qualitative Analysis of Data from Field Investigation of 92 Households
    WANG Zhao-hui, Allan K K CHEN, OU Jin-feng
    2021, 29 (12):  92-103.  doi: 10.16381/j.cnki.issn1003-207x.2018.0329
    Abstract ( 219 )   PDF (2137KB) ( 267 )   Save
    For complex factors affecting agricultural product price, this paper focuses on optimizing agricultural product circulation system, the standardized field research method is adopted and the qualitative analysis on the interview data of 92 households embedded cases in a agricultural product wholesale market is applied. It clearly explains the internal mechanism and path of the influence of agriculture circulation system on agriculture product price. The agricultural product circulation system have a significant co-relationship with price fluctuations. Meanwhile, the circulation system can affect the range of price fluctuation through three variables: supply and demand, operational cost, expectation. Optimizing agricultural product circulation system does have the significant effect on inhibiting excessive fluctuations in price.
    References | Related Articles | Metrics
    Capacity Allocation Mechanism Based on Priority Auctions
    PENG Yun-long, XIAO Yong-bo
    2021, 29 (12):  105-114.  doi: 10.16381/j.cnki.issn1003-207x.2019.1468
    Abstract ( 132 )   PDF (1037KB) ( 193 )   Save
    The allocation of scarce capacity is not uncommon in industries where surging demand exceeding the capacity occurs and expanding the capacity is costly or time-consuming.A system that consists of one supplier and two independent retailers is considered. Given that the supplier has limited capacity, retailers may compete for the capacity for profitability considerations. The wholesale price of products selling to retailers is given exogenously. In this paper a new capacity allocation rule, priority auction mechanism, is developed where the supplier sells the priority of allocation as the object in an auction, prioritizes retailers depending on their bids, and satisfies retailers’ order following their priority. It is derived that the priority auction is a common value auction model in which the value of allocation priority is defined as the profit difference between two scenarios where any retailer is granted the priority or not. Two types of priority auction rules are proposed that different in the sequence of ordering and auction: ex-ante priority auction and ex-post priority auction. In the ex-ante priority auction, retailers need to submit their bids firstly and then place the order after the allocation sequence is determined by the auction. Thus, each retailers’ demand is still private information when they submit bids.In the ex-post priority auction, retailers first place the order and then participate in the auction if their total demand exceeds supplier’s capacity. Therefore, all retailers’ demand information is public in the auction. It is found that both the two types of priority auction are truth-telling mechanism, leading to the truthful reporting of retailers’ private demand information by their orders, and the classical revenue equivalence theorem still holds. Specifically, it is shown that the winner curse only occurs when the supplier adopts the first price sealed auction in ex-ante priority auction. Although the ex-post priority auction can help retailers avoid winner curse, because of the disclosure of retailers’ demand information before the auction, the supplier obtains a higher expected profit from ex-post priority auction than ex-ante priority auction. Priority auction mechanism guides a new way for the supplier to allocate the scarce capacity using the simple classical auction theory and improve the profit.
    References | Related Articles | Metrics
    Information Sharing in a Supply Chain in the Presence of a Dominant E-retailer under Competition
    ZHANG Chuan, MA Hui-min
    2021, 29 (12):  115-124.  doi: 10.16381/j.cnki.issn1003-207x.2021.0242
    Abstract ( 216 )   PDF (1833KB) ( 301 )   Save
    With the progress of information technology, online retailing is developing rapidly. Because e-retailers have a huge online shopping consumer base and are good at online sales, cooperation with e-retailers has become the best choice for suppliers to add online retail channels. For this reason, e-retailers (such as JD.com and Amazon) have greater voice and influence in the supply chain and occupy a dominant position, which is the result of the transfer of power from suppliers to e-retailers. These dominant e-retailers provide suppliers with reselling mode or agency selling mode to cooperate. In the reselling mode, the supplier wholesales products to the e-retailer and then the e-retailer sells products to consumers; In the agency selling mode, the supplier directly sells products to consumers by paying a commission fee to the e-retailer. At the same time, relying on advanced information technology and big data, dominant e-retailers have more abundant and accurate market demand information than suppliers and traditional retailers. Therefore, it is worthwhile to study the information sharing strategy and operation strategy in the presence of a dominant e-retailer under competition.
    References | Related Articles | Metrics
    The Investment Mechanism Design for Manufacturer and Retailer Based on Double Effort Factors
    ZHANG Chong, LIU Ying, WANG Hai-yan
    2021, 29 (12):  125-134.  doi: 10.16381/j.cnki.issn1003-207x.2019.1233
    Abstract ( 143 )   PDF (2551KB) ( 240 )   Save
    Quality efforts and sales efforts play an important role in enhancing market demand and competitiveness. Despite the importance of synchronizing marketing activities with manufacturer's quality decisions, little research has been done. Furthermore, the impact of manufacturer's willingness to invest in sales efforts and retailer’s willingness to invest in quality efforts remains unclear. Along with these issues, a Stackelberg game for manufacturer and retailer is adopted to study the effect of quality efforts and sales efforts cost borne by different supply chain members on product pricing and profits. Previous studies and industry practices have shown that manufacturer and retailer have incentives to invest in quality efforts and sales efforts.Therefore, three investment decision models are developed: the investment is made by themanufacturer and retailer respectively, only the manufacturer, or only the retailer. A question that arises naturally is which one is preferred by the manufacturer, the retailer, and the chain. It is found that themanufacturer prefers to have the retailer make the investment. However, the retailer may be reluctant to let manufacturer invest. Moreover, it is concluded that retail price, order quantity, quality efforts level and sales efforts level all decrease with the increase of quality effort and sales effort cost. Meanwhile,the results show that in the case that retailer bear the cost of quality efforts and sales efforts, supply chain members’ profit as well as quality efforts and sales efforts levels are higher than that in others. The results are applied to supply chain management and some new insights are gained. More attention should be paid to retailers’ incentives to invest.Manufacturers should strengthen cooperation with retailers and design contracts to encourage retailers to invest in quality and sales promotion.
    References | Related Articles | Metrics
    Product Quality R&D Model Selection in a Dual-Channel Supply Chain under the Perspective of Consumer Utility
    WANG Wen-bin, LIN Wan-ying, CHEN Meng-xue, QUAN Shi-yuan, TONG Peng
    2021, 29 (12):  135-144.  doi: 10.16381/j.cnki.issn1003-207x.2019.1893
    Abstract ( 186 )   PDF (1962KB) ( 252 )   Save
    Considering that product quality is one of the key factors which affect consumer’ purchase behavior, the nonlinear consumer utility function, in the dual channel supply chain where the manufacturer is the leader of dynamic game and the retailer is the follower, is cited to analyze three different product quality R & D modes respectively, and the effects of various quality R & D modes on the profit and consumer utility of supply chain members are discussed alike. Subsequently, two-part tariff contract is used to coordinate the supply chain. There exist three product quality R & D modes including (i) product quality R & D not considered in the supply chain (ii) product quality R & D independently conducted by the manufacturer (iii) product quality R & D conducted by the manufacturer and the retailer alike. The results show that: (1) the wholesale price, retail price, direct selling price as well as product quality R & D level are improved when product quality R & D is carried out. Meanwhile, these values mentioned reach the maximum under mode iii, while the wholesale price, retail price, direct selling price and product quality R & D level are declined as the channel competition increases; (2) the sales volume in the traditional retail channel and online channel as well as consumer utility will be declined as the channel competition increases; (3) the profit of the manufacturer and consumer utility can be improved by product quality R & D. Meanwhile, these values mentioned reach the maximum under mode iii; as for the retailer, the profit will be motivated into the highest when the mode ii is used. Correspondingly, the lowest will be obtained when the mode iii is used; (4) in order to encourage the retailer to participate in R & D with the manufacturer, the two-part tariff contract is used to coordinate the supply chain. After coordination, the R & D level of products would be maintained as the level of that in mode iii along with the increasing of consumer utility. The numerical simulation is feasible as a tool to verify the validity of the model. Our research provides related ideas for enterprises to choose R & D mode moderately.
    References | Related Articles | Metrics
    Steady-state Strategy for Collaborative Quality Improvement of New Retail Service Supply Chain Driven by Innovation
    LI Jian-fei, LI Bei, SUN Meng-xia
    2021, 29 (12):  145-156.  doi: 10.16381/j.cnki.issn1003-207x.2019.1930
    Abstract ( 175 )   PDF (2571KB) ( 295 )   Save
    China’s “technology and consumption upgrade” has not only accelerated the formation and emergence of the new retail service supply chain (NRSSC), but also realized sustainable development by driving the collaborative improvement and dynamic evolution of its quality system. From the dynamic perspective of innovation driven quality, the operation mechanism and dynamic evolution process of multi-agent collaborative quality improvement in the new retail service supply chain driven by innovation are analyzed, and the evolutionary game method is used to analyze and construct the dynamic evolutionary game model of multi-agent collaboration, so as to analyze the game strategy choice of each participant in the collaborative quality improvement of the new retail service supply chain. The Jacobian matrix is used to judge its strategy stability. The research shows that under the premise that the interests of multiple participants are satisfied, multi-agent collaborative quality improvement can maintain a stable state of the system; moreover, the quality potential difference is inversely related to the stability of collaborative quality improvement among multi agents; and also, good quality synergy and independent internal supervision mechanism can effectively promote the stability of collaborative quality improvement system.
    References | Related Articles | Metrics
    Coupon Promotion Between a National Brand and a Private Label under Omnichannel Environment
    LI Zong-huo, YANG Wen-sheng, SUN Hao
    2021, 29 (12):  157-167.  doi: 10.16381/j.cnki.issn1003-207x.2020.0800
    Abstract ( 182 )   PDF (2469KB) ( 246 )   Save
    Aiming at an omnichannel system where a manufacturer provides consumers with Buy-Online, Pick-Up-in-Store (BOPS) service through a retailer’s offline channel, coupon promotional strategy is studied under the case of manufacturer-monopoly and the case of retailer introducing a private label. How the manufacturer and retailer improve their brand competitiveness and outcomes is explored by designing price and coupon face value. It is found that under the manufacturer-monopoly case, the higher the wholesale price or the unit compensation, the larger the price and the coupon face value. However, a sufficiently large wholesale price reduces the profit of the manufacturer. It does not absolutely reduce the price of the national brand if the retailer introduces a private label. When the wholesale price is relatively low, the manufacturer can still set a high price and offer a coupon with a large-value in the BOPS channel. Besides, the introduction of private label reduces the profit of the manufacturer, while it increases the profit of the retailer. In this situation, the manufacturer should response by charging a low wholesale price.
    References | Related Articles | Metrics
    Research on R&D Investment of Patent under Nonlinear Technology Evolution
    ZHAI Dong-sheng, LI Meng-yang, HE Xi-jun, XU Shuo
    2021, 29 (12):  168-178.  doi: 10.16381/j.cnki.issn1003-207x.2020.0871
    Abstract ( 107 )   PDF (1752KB) ( 194 )   Save
    In recent years, the increasingly fierce technology competition in the high-tech industry makes the investment environment of the patent market more complex. However, due to the lack of careful consideration of technical factors, previous scholars’ researches on R&D investment of patent and other patent trading behaviors are difficult to provide a good description of the technical uncertainty and R&D risk for the existing patent investment market.Therefore, the non-linear technology evolution law based on TRIZ theory is introduced into the option game model of patent R&D investment. First, three time-varying functions as model hypotheses based on the description of the non-linear technology evolution law are proposed, which separately characterize the influence of technical uncertainty, R&D risk, and profitability on investment with technology development. Then, the enterprise value functions for the monopoly market and the duopoly market are reconstructed, the real option characteristics of the enterprise under the influence of technology evolution are analyzed, and the optimal timing of the patent R&D investment of enterprises on the timeline of technology evolution and their reactions to technologies with different investment risks are studied through game equilibrium analysis. The results show that: under the condition of non-linear technology evolution, the critical value of enterprises investing in a monopoly market will decrease with the development of technology, which will prompt enterprises to invest in patents with high technological risks in advance; in the duopoly competitive market, enterprises will choose to abandon its option value to be the leader, advance their investment to the early stage of technology development with lower patent value, and form a non-Pareto optimal simultaneous investment balance; besides, enterprises maybe show the preference for investment on technology with high-risk and high-profitability. The conclusion of this paper explains the motivation of current high-tech enterprises to make high R&D investments in the early stage of technology development, discusses how the nature of technology affects investment decisions, and provides suggestions for enterprises facing similar investment problems in reality.
    References | Related Articles | Metrics
    A New Index Weights Calculation Method of Group DEMATEL Based on Three-dimensional Density Operator
    WANG Wei-ming, DENG Xiao, XU Hai-yan
    2021, 29 (12):  179-190.  doi: 10.16381/j.cnki.issn1003-207x.2019.0704
    Abstract ( 150 )   PDF (1389KB) ( 187 )   Save
    In the face of some complex multiple-index comprehensive evaluation problems, the casual influence relationships among indexes are universal phenomenon and make some distinct effects for the rank of alternatives, and therefore decision-making trial and evaluation laboratory (DEMATEL) is given to eliminate these adverse effects at the process of evaluating the alternatives. DEMATEL is a widely applied method to determine the index weights by analyzing the casual influence relationships among indexes, and has attracted considerable attention from domestic and overseas experts and scholars in recent years. However, So far the methods of index weights based DEMATEL are mostly applicable to individual decision making, and do not consider evaluation scales are inconsistent under group decision making. To overcome this kind of defects, a new index weights calculation method of group DEMATEL based on three-dimensional density operator is proposed. Firstly, a transformation function of different evaluation scales is defined, which can convert inconsistent evaluation scales to single evaluation scale under group DEMATEL. Secondly, a cluster method of group DEMATEL matrix is given, on this basis, it is aggregated by three-dimensional density operator. Finally, the centre degree and cause degree of index is determined by using DEMATEL method, and the index weights is calculated. One exact example is used to illustrated the feasibility and validity of the proposed method. The results show that the index weights is reasonable and reliable as it can solve group decision making’s inconsistent evaluation scales and consider group decision making’s consensus degree. The study of the traditional DEMATEL method is expanded under individual decision making, and an important reference and guidance is provided for solving the problem of DEMATEL under group decision making in this paper.
    References | Related Articles | Metrics
    A Review of Behavioral Influence and Value Application for Online Reviews
    WANG An-ning, ZHANG Qiang, PENG Zhang-lin, YANG Shan-lin
    2021, 29 (12):  191-202.  doi: 10.16381/j.cnki.issn1003-207x.2019.1451
    Abstract ( 458 )   PDF (1532KB) ( 594 )   Save
    With the development of social networks, a large number of online reviews have been generated. Research on online reviews has attracted extensive attention from scholars in the fields of marketing, information systems, and product development. At present, great progress has been made for online review research. However, due to the wide range of research on online reviews, there is no systematic conceptual framework. It lacks an overall understanding of online reviews. Therefore, this paper attempts to comprehensively summarize the online review research literature. From the perspective of behavioral influence, online reviews affect consumers ’purchasing behavior and enterprises’ business decisions. For the perspective of value application, online reviews are an important information source to obtain consumer needs. Enterprises gradually realize the value of online reviews for recommendation services, market analysis, and product development. On the basis of the literature review, the current technological development is combined with the market environment to derive three characteristics of online reviews: diversity, dynamics, and integration, which broadens the research boundary and provides the research opportunities.
    References | Related Articles | Metrics
    Calculating the Rate of Quality Improvement and its Contribution Rate of Economic Growth in China
    ZHOU Han-ting, SONG Ming-shun, CHENG Long-sheng, ZHENG Su-li, JIANG Jin
    2021, 29 (12):  203-214.  doi: 10.16381/j.cnki.issn1003-207x.2021.1180
    Abstract ( 188 )   PDF (1959KB) ( 264 )   Save
    In the context of economic globalization, factor mobility promotes the extension of factor connotations. Factor quality has become a major factor influencing factor income growth, and the difference in factor quality effects between primary and higher factors is becoming more pronounced. Although the contribution of factor quality to economic growth is objective, there are limitations and underestimation in the measurement of factor quality improvement rate. Stripping factor quality from the evaluation of factor quantity supply and measuring the factor quality improvement rate are difficult issues. However, it is an important guide for balancing the factor structure and improving the efficiency of factor supply.
    References | Related Articles | Metrics
    How Knowledge Conversion Affects the Enterprise’s Standardization Capability?——The Mediating Effect of Technological Capability
    LU Hong-yu, YU Xiao
    2021, 29 (12):  215-226.  doi: 10.16381/j.cnki.issn1003-207x.2021.1167
    Abstract ( 199 )   PDF (1879KB) ( 228 )   Save
    Quality and standards are closely related,high-level standardization capability can improve the quality of products and services of enterprises, then further lead industrial upgrading. At the same time, a scientific and complete enterprise standardization system is conductive to enhancing management efficiency and expanding economic benefits. However, the standardization capability of different enterprises are not the same, since the standard application, output and management level are not consistent. Cultivating high-level standardization capability of enterprises is not only the requirement of enterprises to build their own competitive advantages, but also the key project of national high-quality development and standardization reform. Standards have the dual attributes of knowledge and technology. As an open innovation system, does the knowledge conversion of an enterprise have an impact on standardization capability? How does it affect? What role does technical capability play between them? The scientific analysis of the mechanism of enterprise knowledge conversion on its standardization capability has significant theoretical and practical significance.
    References | Related Articles | Metrics
    Process Manufacturing Product Quality Status Monitoring Based on SRFML-Lift
    FENG Xiao-bin, TANG Yi-bin, WU Zeng-yuan, XU Ming-jiang
    2021, 29 (12):  227-236.  doi: 10.16381/j.cnki.issn1003-207x.2021.1169
    Abstract ( 122 )   PDF (2249KB) ( 158 )   Save
    For process manufacturing enterprises, the monitoring accuracy of product quality status directly affects the production and operating costs of the enterprise. Facing the multi-variable monitoring requirements and data imbalance in the process industry, previous studies mainly adopted partial modeling strategies or multi-output models, which had the problems of feature selection bias and low classification accuracy. In this regard, a quality status monitoring model is designed that combines SRFML feature selection and Lift learning strategy, and is aims to improve the monitoring effect of the model by sharing information between different targets. First, according to the ReliefF filtering mechanism, the idea of resampling is introduced to optimize the selection process of industrial features (SRFML); then, the selection result is used as the input of the Lift learning framework, and the unique association of each feature to be monitored is reshaped through the generic attribute learning method Attributes; finally, multiple SVM classifiers are used for training, and the quality status results of each target are obtained. The results show that the SRFML-Lift constructed in this paper has fully learned the key information of the original characteristics, and compared with other combination strategies, it has a better monitoring effect on the quality status and can be applied to the production management practice of the process industry.
    References | Related Articles | Metrics
    Inspection Strategy for a Multi-state Competing Failure System with Hidden Failures
    ZHANG Yan-jing, MA Yi-zhong, SHEN Jing-yuan, LIU Li-jun, MENG Xiao-hua
    2021, 29 (12):  237-248.  doi: 10.16381/j.cnki.issn1003-207x.2021.1175
    Abstract ( 164 )   PDF (2684KB) ( 252 )   Save
    40% of all failure modes of complex industrial systems fall into the category of hidden failures. It is likely to cause huge economic losses if these hidden failures are not eliminated in time. In this paper, the maintenance strategy problem of a multi-state competing failure system with hidden failures is studied by considering imperfect inspection. Firstly, all the renewal scenarios of the system are analyzed according to the given condition-based maintenance strategy. Then, the occurrence possibility of each renewal scenario is derived, based on which the maintenance model is established. The constructed maintenance model takes the expected cost rate as the objective and the inspection interval as the optimization variable. Finally, a capacitor bank is taken as an example to verify the applicability and effectiveness of the proposed maintenance model. The results show that inspection quality has an important influence on the decision-making of the inspection strategy. Therefore, inspection errors should be considered when constructing maintenance model. The modeling method proposed in this paper can not only enrich the maintenance strategy theory and method of multi-state competing failure systems to a certain extent, but also provide theoretical basis and decision-making basis for the maintenance of complex industrial systems in engineering practice.
    References | Related Articles | Metrics