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Supply Chain Resilience: Adapting to Complexity—Based on the Perspective of Complex System Thinking SHENG Zhao-han, WANG Hai-yan, HU Zhi-hua Chinese Journal of Management Science    2022, 30 (11): 1-7.   DOI: 10.16381/j.cnki.issn1003-207x.2022.11.001 Abstract （3238）      PDF（pc） （1038KB）（3934）       Knowledge map    Save Building a resilient supply chain has risen from a concern at the enterprise level to a strategy at the industry, regional and national levels, and has become an important means to cope with the complex situation of current social and economic development. It is also an important means to improve the national security and competitiveness. On the basis of expounding that supply chain is a complex adaptive system of social multi center sharing and co-governance, it is pointed out that supply chain resilience is a sign of the ability of the behavior and function of the supply chain system to adapt to the complex changes of the environment as a whole. The complex integrity attribute of supply chain resilience requires us to form new research paradigms and methodologies through the paradigm shift of complex system thinking. The academic value of supply chain resilience theory is not mainly aimed at conventional problems, but depends on whether it is effective and efficient in dealing with supply chain instability, risk, emergency, functional degradation and other resilience crises. Supply chain resilience has a specific real world. To explain, analyze and reveal the complex phenomena and objective laws of supply chain resilience, it is pointed to pay full attention to the uniqueness and discourse context of the supply chain. No two realistic supply chain resilience mechanisms are identical. Supply chain resilience is a big and difficult problem in the field of supply chain research today, which has important academic frontiers, reality and challenges. It should be oriented and rooted in the rich practical soil of supply chain management in China, and consolidate the research foundation from the basic academic system, theoretical system and discourse system, rather than being too tied by the “disruption” and “no disruption” in the initial definition of supply chain resilience. Reference | Related Articles | Metrics | Comments（0）

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Research on Human-machine Integration Complex Social System WANG Hong-wei, LI Jue, LIU Jian-guo, FAN Ying, MA Liang, HUO Hong, LIU Zuo-yi, DING Lie-yun Chinese Journal of Management Science    2023, 31 (7): 1-21.   DOI: 10.16381/j.cnki.issn1003-207x.2023.07.001 Abstract （2598）      PDF（pc） （1642KB）（2742）       Knowledge map    Save The deepening of the new round of scientific-technological revolution is profoundly affecting and transforming the way of social living and production. The social system is evolving into a complex system coupled with human social space, information systems, and the physical environment. In the social system, actors, social relations, social structure, and social functions are profoundly changing. Human beings are entering a new social form characterized by the integration of human and machine. Such changes have brought significant challenges to the understanding, research, and governance of social systems. The definition of the human-machine integration social system is expounded from the perspective of the social system theory. It analyzes the unique connotation of human-machine integration complex social system from the aspects of social constituent subjects and structures, communication and media, and social differentiation and evolution. On this basis, the basic problems that need to be solved urgently in the research of human-machine integration complex social systems are proposed: (1) Human-machine collaboration in human-machine integration complex social systems; (2) Social networks in the environment of human-machine integration; (3) Emergence mechanism and evolution law of human-machine integration complex social system. Finally, aiming at the difficulties faced by previous social science research methods in solving the integrity problem of complex social systems, a research paradigm of complex social systems based on the system theory is proposed. Reference | Related Articles | Metrics | Comments（0）

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Artificial Intelligence and Management Transformation YANG Shan-lin, LI Xiao-jian, ZHANG Qiang, JIAO Jian-ling, YANG Chang-hui Chinese Journal of Management Science    2023, 31 (6): 1-11.   DOI: 10.16381/j.cnki.issn1003-207x.2023.06.001 Abstract （2313）      PDF（pc） （2837KB）（2404）       Knowledge map    Save Since the advent of deep learning, artificial intelligence has made tremendous progress, gradually moving from pure academic research to large-scale deployment. In particular, a series of application-level AI content generation algorithms such as text generation, image generation, and 3D model generation emerged in 2022, indicating that AI has first acquired the ability to produce digital content and is gradually breaking through many barriers, such as logical reasoning and common sense cognition, moving towards general AI. Based on a review of the development history and recent trends in AI, it focuses on exploring the impact of AI technology on the research paradigms of the natural and social sciences in this paper, analyzing the development laws of AI technology itself and its integration with domain-specific sciences. Finally, the transformative impact of AI on the management is analyzed. Reference | Related Articles | Metrics | Comments（0）

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Characteristics and Development Pathway of the Discipline of Management Science and Engineering within the Funding System of National Natural Science Foundation of China HUO Hong Chinese Journal of Management Science    2023, 31 (1): 1-8.   DOI: 10.16381/j.cnki.issn1003-207x.2023.01.001 Abstract （1453）      PDF（pc） （3843KB）（1548）       Knowledge map    Save Reference | Related Articles | Metrics | Comments（0）

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Stock Index Prediction Based on LSTM Network and Text Sentiment Analysis Xiaojian Yu,Guopeng Liu,Jianlin Liu,Weilin Xiao Chinese Journal of Management Science    2024, 32 (8): 25-35.   DOI: 10.16381/j.cnki.issn1003-207x.2021.0084 Abstract （1257）   HTML （113）    PDF（pc） （868KB）（1659）       Knowledge map    Save Investment decision-making can be a complex process， influenced by various factors， including investor behavior preferences. Therefore， it's important to understand and capture investor sentiment for predicting future changes in the stock market trend. In this regard， machine learning algorithms can be helpful in analyzing investor sentiment in the financial market. It aims to construct a predictive model for stock indices using an LSTM network and text sentiment analysis in this paper.To begin with， a web crawler program is used to collect text comments on individual stocks in the East Money Stock Bar. The text data are analyzed using the SVM sentiment classification algorithm to construct a market sentiment index that reflects investor sentiment. Additionally， the LSTM deep learning network is used to extract the features of the market sentiment index and make short-term predictions on the SSE 50 index.Various traditional time series analysis models and machine learning models are compared. The results show that the LSTM neural network has higher accuracy and precision in financial time series prediction. After incorporating market sentiment features， the accuracy and precision of the LSTM network prediction results can be improved. This indicates that investor market sentiment is highly effective and applicable for market index prediction. It is also found that error correction of the LSTM network prediction results can effectively optimize the prediction results.Overall， a new method is provided for understanding investor sentiment and predicting future changes in the stock market trend. It is hoped that our research results can provide useful reference and guidance for financial investors and analysts. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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“Good Shopping Decisions” and “Bad Shopping Decisions”: Research on the Quality Issues and Governance of Internet Celebrity Live Marketing Yan-lu GUO,Gong-li LUO,Gui-sheng HOU,Xiao-tong WANG Chinese Journal of Management Science    2023, 31 (10): 162-174.   DOI: 10.16381/j.cnki.issn1003-207x.2020.1937 Abstract （1200）   HTML （89）    PDF（pc） （1157KB）（2359）       Knowledge map    Save With the development and expansion of short video live broadcast platforms， online celebrity live-streaming has become a new form of consumer shopping. However， in this process， the problems of poor quality of products with online celebrities and difficulty in protection have also emerged. Based on this background， a tripartite evolutionary game model is used to study the tripartite strategy selection and evolution of internet celebrities， short video live broadcast platforms， and consumers， and further discusses the impact of changes in live broadcast internet celebrities’ risk attitudes on their efforts to selling goods and select products. The innovations of this article are： ①The dual attributes of consumers and the live broadcast platform are considered. ②The benefits that consumers get from online celebrity products are divided into emotional benefits and functional benefits， which is more in line with the existing empirical evidence and facts， and the conclusion proves that emotional benefits will produce more “negative action” in certain situations. ③In the existing evolutionary game literature， few scholars discuss in detail the changes and transitions of equilibrium points under different parameter conditions， while parameter changes which leads to the transition of the equilibrium point often contains profound policy enlightenment.④The risk attitudes of Internet celebrities on the efforts to bring goods is also discussed，which further explains the causes of the quality problems of products brought by Internet celebrities. In addition， it is also found an interesting insight： consumers' strategy choices when facing the quality trouble of online celebrity live broadcast products will be affected by product types. The higher the functional benefit of the product， the more powerful consumers' motivation to defend their rights. This means that not all products are suitable for online celebrity live broadcast mode for sales.It is found that as the functional benefits that consumers obtain from online celebrity products increase， consumers are more inclined to choose active accountability， and as emotional benefits increase， consumers are more inclined to choose passive accountability， this kind of virtual intimacy on the emotional benefits brought by the products partly explain the phenomenon of the current proliferation of online celebrity product quality problems. Secondly， the influence of basic income parameters on the equilibrium state is far more significant than the influence of coefficient parameters. This should be the focus of supervision. Moreover， consumers’ strategy will be affected by product types when they face the quality problems of online celebrities’ live streaming products. The higher the product’s functional benefits， the greater the motivation for consumers to defend their rights. Finally， the risky attitudes of live streaming internet celebrities will affect their attitudes of product selection. And as the effort to bring goods， risk-averse Internet celebrities' efforts to sell goods and select products are lower than those under certain circumstances. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Research on Government Subsidy Strategy of Low-carbon Supply Chain Based on Block-chain Technology Ling-rong ZHANG,Bo PENG,Chun-qi CHENG Chinese Journal of Management Science    2023, 31 (10): 49-60.   DOI: 10.16381/j.cnki.issn1003-207x.2020.2362 Abstract （985）   HTML （95）    PDF（pc） （907KB）（1926）       Knowledge map    Save With the continuous progress of China's economy and society， green development has become a national strategy， and carbon emission reduction is an important measure. The government can promote the investment of enterprises' emission reduction technology and increase social welfare through moderate low-carbon subsidies to enterprises. The introduction of block-chain technology into the low-carbon supply chain can improve the coordination degree of low-carbon decision-making among the main bodies of the supply chain and promote the emission reduction of enterprises. Therefore， it is of great significance to study the government subsidy strategy of low-carbon supply chain based on block-chain technology. In this paper， a two-level low-carbon supply chain composed of a manufacturer and a retailer is taken as the research object， and the government subsidy strategy of the low-carbon supply chain is taken as the research topic. The government invests in the construction of the application platform of block-chain technology， and the supply chain enterprises pay to use the block-chain technology. Under this background， considering consumers' low-carbon preference and green trust， this paper set up before and after the application block chain technology under R&D investment subsidy policy or output subsidy policy of these four situations of three stages Stackelberg game models， in which the government takes the lead and manufacturers and retailers follow and the government to the social welfare maximization as the goal， manufacturers and retailers in order to maximize their own interests as the goal， through comparing the four kinds of situations of the optimal rate of social welfare， carbon reduction and low carbon product production， discusses the government low carbon subsidies strategy of optimal problem. And the validity of the results is verified through the analysis of examples. The results show that when the product of consumers' low-carbon preference coefficient and green trust coefficient is greater than a certain fixed value， the government can obtain higher social welfare through output subsidies， and promote enterprises to reduce emissions more effectively. Governments have been able to boost demand for low-carbon products through output subsidies. When the cost coefficient of emission reduction approaches infinity， the demand for low-carbon products when the government implements output subsidies is 4 times that when the government implements R&D investment subsidies. When the single-cycle cost sharing of block-chain platform and the unit cost of enterprises' application of block-chain technology are less than a certain threshold， the government's construction of block-chain platform can obtain higher social welfare， promote enterprises' emission reduction and improve consumers' demand for low-carbon products. Therefore， the government should increase investment in science and technology， and to make efforts to reduce the block chain platform construction cost and prolong the cycle of block chain platform， for low carbon green products to create a fair， just and open market environment， and control technology of enterprise application block chain unit cost within a reasonable range， encourage enterprises to actively application block chain technology， in order to obtain higher social welfare. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Pricing and Cold-chain Logistics Service Decisions of Fresh Agriculture Products Supply Chain under Different Trade Modes YE Jun, GU Bo-jun, FU Yu-fang Chinese Journal of Management Science    2023, 31 (2): 95-107.   DOI: 10.16381/j.cnki.issn1003-207x.2020.0751 Abstract （956）      PDF（pc） （1403KB）（1990）       Knowledge map    Save Though China is a major producer and consumer of fresh agricultural products, cross－border trade in fresh agricultural products is booming due to limitation of production resource and imbalance productivity. However, easy to deterioration as well as long－distance and long-time cross－border journey lead to higher transportation cost and higher risk of goods loss for cross－border trade in fresh agricultural products. Therefore, the logistics provider is desired to improve the cold－chain logistics service so as to minimize the deterioration rate during the transportation. In addition, FOB (Free on Board), CIF (Cost, Insurance and Freight) and DAP (Delivered at Place) are three different trading modes, and the cost of cold－chain logistics service and the loss of goods in transportation are undertaken by the different parties under different trading modes. Therefore, in the cross－border trade of fresh agricultural products, the choice of different trading modes and cold chain logistics service will directly affect the risk of cross－border transportation and the degree of decay of fresh agricultural products, and then have a significant impact on the profits of each party of the fresh agricultural products supply chain. To solve these problems, this study focuses on the cross－border trading mode choice and freshness preservation of fresh agricultural products. Reference | Related Articles | Metrics | Comments（0）

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Blockchain-Based Dual-Channel Supply Chain Pricing Decision and Online Channel Selection Strategy LIANG Xi, XIAO Jin-feng Chinese Journal of Management Science    2023, 31 (5): 29-38.   DOI: 10.16381/j.cnki.issn1003-207x.2020.1755 Abstract （883）      PDF（pc） （1609KB）（2062）       Knowledge map    Save Blockchain technology is widely used in various industries. In this paper, the application of blockchain technology to product certification in the supply chain can reduce the certification time and fidelity. In the two dual channel supply chain systems of online direct selling and online distribution, the Stackelberg game in which the manufacturer is the leader and the other participants are followers is considered. The sensitive coefficient of the consumer’s time for product inspection and evaluation, the false probability of the inspection result and the unit verification fee of the blockchain are introduced. The pricing and channel selection strategies of four dual channel supply chains are compared and analyzed. The results show that: when using the blockchain technology, the manufacturer’s profit under the direct selling mode is higher than that of the distribution mode, the traditional retailer’s profit under the direct selling mode is lower than that of the distribution mode, and the total profit of the supply chain under the direct selling mode is higher than that of the distribution mode; in the direct selling mode, the manufacturer’s profit, the traditional retailer’s profit and the total profit of the supply chain are higher than that of the distribution mode. In the distribution mode, when the fixed fee for manufacturers to introduce blockchain technology is small, the profits of manufacturers, traditional retailers, online retailers and the total profits of supply chain with blockchain technology are higher than those without blockchain technology. Reference | Related Articles | Metrics | Comments（0）

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Two-stage Mean Semi-variance Portfolio Optimization with Stock Return Prediction Using Machine Learning Peng ZHANG,Shi-li DANG,Mei-yu HUANG,Jing-xin LI Chinese Journal of Management Science    2023, 31 (12): 96-106.   DOI: 10.16381/j.cnki.issn1003-207x.2021.2308 Abstract （867）   HTML （113）    PDF（pc） （2248KB）（1449）       Knowledge map    Save Since accurately predicting stock return sequences can improve the performance of portfolio optimization models， the results have indicated that machine learning methods have a greater capacity to confront problems with nonlinear， nonstationary charateristics than econometric models. Consequently， a novel two-stage method is proposed for well-diversified portfolio construction based on stock return prediction using machine learning， which includes two stages. To be specific， the purpose of the first stage is to select diversified stocks with high predicted returns， where the returns are predicted by machine learning methods， i.e. eXtreme Gradient Boosting（XGBoost）， support vector regression（SVR）， K-Nearest Neighbor（KNN）， and evaluate and select the model. In the second stage， considering the constraints such as transaction costs and threshold constraints， the predictive results are incorporated into the mean semi-variance （M-SV） model， mean-variance model and equally weighted model to determine optimal portfolio. Finally， using China Securities 300 Index component stocks as study sample， the empirical results demonstrate that the XGBoost+MSV model achieves better results than similar counterparts and market index in terms of return and return-risk metrics. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Pricing and Green Input Decisions of a Competitive Supply Chain with Consumers’ Product Preference and Different Channel Powers CHEN Ke-bing, KONG Ying-qi, LEI Dong Chinese Journal of Management Science    2023, 31 (5): 1-10.   DOI: 10.16381/j.cnki.issn1003-207x.2020.1924 Abstract （852）      PDF（pc） （1400KB）（1666）       Knowledge map    Save With the increase of customers’ environmental awareness and the intensification of market competition, the right sales decisions are significantly important for any green product enterprises to enter, occupy, consolidate and expand their markets. For this, a supply chain system consisting of one traditional manufacturer, one green manufacturer and one retailer is developed. Depending on the channel powers of two manufacturers in the system, three supply chain game models, i.e., traditional-manufacturer-leader Stackelberg game model, green-manufacturer-leader Stackelberg game model and Nash game model between both manufacturers, are considered. How the different channel power structures and the consumers’ green preference affect the decisions of wholesale prices, retail prices, order quantities, green input and supply chain profits is mainly investigated in this study. Furthermore, a cost-sharing and two-part-tariff contract is proposed to coordinate such a supply chain, and the Pareto improvement condition for each supply chain member’s profit is given. Reference | Related Articles | Metrics | Comments（0）

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Quantification of Investor’s Long-term and Short-term Risk Appetite in Asset Allocation YANG Chao-jun, ZHOU Shi-ying, DING Zhuan-xin, MA Zheng-cheng Chinese Journal of Management Science    2022, 30 (6): 11-21.   DOI: 10.16381/j.cnki.issn1003-207x.2019.1827 Abstract （812）      PDF（pc） （1080KB）（1003）       Knowledge map    Save The quantification of investors’ risk appetite is one of the key steps in asset allocation. The article attempts to introduce an efficient method to measure the risk appetite from a new perspective. As more and more previous studies have shown, investors’ risk appetite, often measured by the risk aversion coefficient, is not a constant value. Thus it is of great significance to measure the risk appetite accurately in the investment process. In the Expected Utility Theory, the risk aversion coefficient is the quantification of risk appetite. In the Modern Portfolio Theory, however, the investors’ risk appetite is often measured by the maximum tolerable standard deviation, this is because the former can be difficult to be precisely valued. The relationship between the risk aversion coefficient and the maximum tolerable standard deviation for different types of investors is studied through mathematical derivation. Considering the long investment horizon in asset allocation, the inner relationship between long-term and short-term risk appetite is also studied. Reference | Related Articles | Metrics | Comments（0）

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A Robust Portfolio Selection Model Based on Investor’s Views ZHAO Da-ping, BAI Lin, FANG Yong, WANG Shou-yang Chinese Journal of Management Science    2022, 30 (9): 1-9.   DOI: 10.16381/j.cnki.issn1003-207x.2020.2241 Abstract （807）      PDF（pc） （1033KB）（1243）       Knowledge map    Save As an improvement of mean variance model,Black-Litterman model is one of the most popular methods in asset allocation. An analytical framework is provided that combines the investors’ expectation of the market with the market equilibrium rate of return, and several problems of the mean variance model are solved, such as lack of dispersion, high sensitivity to parameters, and so on. Therefore, Black-Litterman has been widely concerned by the academic community, and has achieved good results in practical application. Reference | Related Articles | Metrics | Comments（0）

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Credit Risk Warning of Listed Companies Based on Information Disclosure Text:Empirical Evidence from Management Discussion and Analysis of the Chinese Annual Report LI Cheng-gang, JIA Hong-ye, ZHAO Guang-hui, FU Hong Chinese Journal of Management Science    2023, 31 (2): 18-29.   DOI: 10.16381/j.cnki.issn1003-207x.2020.2263 Abstract （806）      PDF（pc） （1230KB）（1702）       Knowledge map    Save With the economic globalization, the international economic situation becomes more and more complex, and Chinese listed companies will face greater challenges. The unstable economic situation such as trade friction and financial market volatility will increase the credit risk of listed companies. The establishment of credit risk early warning system is conducive to the operators to find the company’s financial problems in time, and make response and prevention. A large number of text documents disclosed by listed companies can extract certain effective information, which can be used as an effective supplement to the traditional quantitative financial indicators. As an important part of the annual report, “Management Discussion and Analysis (MD & A)” in the enterprise annual report includes the evaluation of the company’s historical operation by the company’s managers and the prospect of the future market development. Therefore, deep mining the valuable text information contained in MD&A can effectively supplement the company’s financial index information and predict the company’s credit risk. Reference | Related Articles | Metrics | Comments（0）

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Online Shopping Platform Optimal Price Promotion Strategy: Price Discount or Cash Coupon? ZHANG Hua, LI Li, ZHU Xing-zhen, HE Xiang Chinese Journal of Management Science    2022, 30 (10): 130-141.   DOI: 10.16381/j.cnki.issn1003-207x.2020.0262 Abstract （797）      PDF（pc） （1144KB）（1718）       Knowledge map    Save Platform price promotion has become an important issue in platform marketing. Different from the traditional mode in which merchants decide the price promotion, platform price promotion takes the platform as the decision maker of price promotion. In this paper, platform price discount model and cash coupon model are established, and platform optimal price promotion strategy is analyzed. Some findings are achieved. (1) Platform price promotion can only increase platform profits when the basic demand, consumer price sensitivity and commodity price meet certain conditions. (2) In the case that both price promotions can improve the platform’s profit, the platform’s transaction rate is higher and the commodity price is lower, so the platform’s profit of implementing cash coupon strategy is higher than that of price discount strategy; In other cases, the profit of price discount strategy implemented by the platform is higher than that of cash coupon strategy. (3) With lower transaction rates on the platform, consumers can get more discounts under the price discount strategy; Otherwise the cash coupon strategy will give the consumer more benefits. (4) Sellers’ advertising investment can increase the profits of promotion activities on the platform, but the price concessions on the platform are reduced, and the range of conditions for the platform to implement price promotion is reduced. Reference | Related Articles | Metrics | Comments（0）

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Loan Default Forecasting Based on Zero-inflated Quantile Two-part Model WANG Xiao-yan, YUAN Teng, DUAN Xiang-bin Chinese Journal of Management Science    2022, 30 (10): 1-13.   DOI: 10.16381/j.cnki.issn1003-207x.2020.0441 Abstract （791）      PDF（pc） （1428KB）（2009）       Knowledge map    Save Loan is not only a main means of solving the shortage of finances, but also an important business of financial institutions. Loan default forecasting is an essential content of bank risk management. To measure the loan credit risk of lenders, the number of days overdue is an informative variable commonly used. It shows whether the lender defaulted or not, but also the extent of default. However, this variable usually has an obvious zero-inflated characteristic, that is, there exists a quite large proportion of zero observations. Those zeros usually bring challenges to traditional credit default forecasting models. Reference | Related Articles | Metrics | Comments（0）

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The Economics of Cloud Queueing System WANG Zhong-bin Chinese Journal of Management Science    2022, 30 (7): 121-129.   DOI: 10.16381/j.cnki.issn1003-207x.2019.0814 Abstract （786）      PDF（pc） （1099KB）（1172）       Knowledge map    Save With the rise of intelligent reservation systems in congestion-prone service systems, the phenomena of “long waiting time” have been greatly alleviated. The simple operation of cloud queueing system has been well accepted by a large number of businesses and customers. A queuing-game model is established, and the impact of “cloud queuing system” on customers and service provider is analyzed theoretically in the framework of the current popular service industries. The following results are obtained in this paper. First, the equilibrium strategies for two types of customers are characterized. Second, it is found that the prevalence of cloud queueing can encourage the online customers to join, but it worsens the utilities of offline customers, and reduce their enthusiasm. Third, the revenue of service provider can be improved in the presence of cloud queueing, and a higher price should be set accordingly. Reference | Related Articles | Metrics | Comments（0）

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Hua Luogeng System Engineering of Management Science and Industrial Big Data Analysis LIU Xiang-guan, GAO Chuan-hou, LUO Shi-hua, WANG Yi-kang, WU Wu-lin Chinese Journal of Management Science    2022, 30 (11): 8-19.   DOI: 10.16381/j.cnki.issn1003-207x.2021.1655 Abstract （784）      PDF（pc） （2159KB）（798）       Knowledge map    Save The achievements of the national key research project in the comprehensive utilization of vanadium and titanium resources in Panzhihua are briefly introduced under the personal guidance of Professor Hua Luogeng, a consultant of Pangang. Taking the typical big data analysis case in the “first prize of national scientific and technological progress” as an example, the guiding role of the management science theory created by Professor Hua Luogeng in big data analysis, intelligent optimization algorithm and process intelligent manufacturing of iron and steel industry is discussed. Through the introduction of specific cases and algorithms, it can help us more deeply understand the rich connotation of Hua Luogeng’s 36 word policy of management science. Especially in today’s digital economy era, how to apply Hua Luogeng’s scientific management theory to guide the research and development of intelligent manufacturing technology of industrial production line has universal guiding significance. Reference | Related Articles | Metrics | Comments（0）

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The Impact Mechanism of Government Subsidy Approach on Manufacturer’s Decision-making in Green Supply Chain HE Yong, CHEN Zhi-hao, LIAO Nuo Chinese Journal of Management Science    2022, 30 (6): 87-98.   DOI: 10.16381/j.cnki.issn1003-207x.2019.1854 Abstract （776）      PDF（pc） （1842KB）（1399）       Knowledge map    Save There have been a large number of fruitful work on supply chain decision-making considering government subsidies, but only the decision-making issues of manufacturers’ independent R&D emission reduction has been studied, and the production decision making when manufacturers outsource emission reduction tasks has not been considered. None of the literatures have explored the impact of different government subsidy approaches on manufacturer’s emission reduction options. In view of the above consideration, a three-level green supply chain is constructed that composed of suppliers, manufacturers and consumers to explore this issue. Considering the manufacturer investing R&D to emission reduction or outsourcing the emission reduction task, the Stackelberg game model is employed to explore the decision-making issue under the government subsidy approaches basing on emission reduction R&D investment or emission reduction amount of unit product in green supply chain.From the perspective of manufacturer, the manufacturer’s decisions of two actions for emission reduction are compared when given government subsidy approach. Secondly, from the government’s perspective, when manufacturer’s action is given, the effects of emission reduction between two approaches of government subsidy are compared. Further, numerical simulation is conducted to analyze the impact of subsidy factors on supply chain’s decision-making under two subsidy approaches. The results show that when the government adopts the subsidy method basing on emission reduction R&D investment, manufacturer's profit of R&D emission by themselves is higher than outsourcing emission reduction task. When the government adopts the subsidies basing on emission reduction amount of unit product, the manufacturer’ profit and the emission reduction amount per unit of product in investing R&D to emission are more than the outsourcing emission reduction task. When manufacturer chooses to invest R&D to emission reduction, compared to subsidy approach of basing on emission reduction of unit product, the amount of emission reduction of the government subsidy basing on R&D investment is higher, and the profit is lower. When the manufacturer outsources the emission reduction task, the carbon reduction effect and the profit in the two approaches of government subsidies are identical. Numerical simulations are conducted to verify the above results, and it shows that the subsidy coefficient has significant impact on the emission reduction and profit.These conclusions provide theoretical basis and significant implications for the government to formulate reasonable subsidy policy and the enterprise to choose proper emission reduction strategies. Reference | Related Articles | Metrics | Comments（0）

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Research on Brand Diffusion and Brand Image Differentiation on Social Media: Comparison of Huawei and Haier WANG Zong-shui, SUN Zhuo, ZHANG Jian Chinese Journal of Management Science    2022, 30 (6): 178-187.   DOI: 10.16381/j.cnki.issn1003-207x.2019.1775 Abstract （766）      PDF（pc） （2167KB）（773）       Knowledge map    Save Social media has become an important way for company brand building. In this study, Huawei and Haier are selected as the research objects. Data mining and social network analysis methods have been used to study the brand diffusion process based on the data collected from 26,503,570 and 3,277,717 Weibo users. The information diffusion process has been analyzed by two typical events of the two companies’ Weibo accounts. Finally, by mapping the high-frequency words to investigate the difference between the brand image presented by social media and companies want to build. Reference | Related Articles | Metrics | Comments（0）