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The Influence of New Energy Vehicle Consumption Promotion Policy on the Purchase Intention of Potential Consumers LI Chuang, YE Lulu, WANG Liping Chinese Journal of Management Science    2021, 29 (10): 151-164.   DOI: 10.16381/j.cnki.issn1003-207x.2019.1845 Abstract （968）      PDF （1412KB）（1965）       Knowledge map    How to improve the purchase intention of potential consumers is very important to promote the development of new energy vehicle market. Based on SOR theory, the influence of new energy vehicle consumption promotion policy on potential consumers is analyzed by using structural equation model through a questionnaire survey in four counties of Luoyang City, Henan Province. The results show that: ① The consumption promotion policies affect the purchase intention of potential consumers through perceived value and perceived risk, among which the charging policy has the largest impact, the right of way policy is the second, the publicity policy is the third, and the purchase policy has the smallest impact. Therefore, it is unlikely to happen that the sales volume of new energy vehicles will drop sharply after the cancellation of car purchase policy. ② Potential consumers pay more attention to the perceived value of new energy vehicles in the early stage and less attention to the use risk in the later stage. The more complete the publicity policy, car purchase policy and charging policy are, the higher the perceived value of new energy vehicles for potential consumers is, the more incentive they are to purchase. ③ Among different groups, the adjustment of income and education background on the purchase intention of new energy vehicles is more obvious. Potential consumers with high income and high education pay more attention to their use rights and interests after purchase, such as the right of way policy and charging policy, while potential consumers with low education and low income pay more attention to their consumption rights and interests in the early stage, such as the economic incentive of purchase policy. In terms of the impact path of every policy on perceived risk, the perceived risk of low-income and low educated groups is generally more significant than that of high educated and high-income groups. Finally, this paper proposes that the consumption promotion policy on new energy vehicle should pay attention to the improvement of the charging market, gradually transfer the economic subsidy policy to the charging infrastructure and the preferential policy of the right of way, and implement the differentiating and diversified promotion policies for the different potential consumers. Reference | Related Articles | Metrics

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A Study on the Consumer Behavior in Electronic Commerce LI Zhi-cheng, LIU Mei-lian Chinese Journal of Management Science    2002, (6): 88-91.   Abstract （7591）      PDF （806KB）（20799）       Knowledge map    In this paper,it has been first described about the characteristics of the consumer behavior based on electronic commerce which are more segmented consumer market,strengthened service demand,expanded selection zone and perceptual consumer behavior and consumer joining in the direct cycle of the production and consumption;then the micro and macro factors that have effect on the consumer behavior have been analyzed;finally,a model based on TPB to measure consumer behavior has been established. Reference | Related Articles | Metrics Cited: Baidu(52)

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The Model of Contributing Rate under Pay-As-You-Go System and Partially Accumulated System GAO Jian-wei, QIU Wan-hua Chinese Journal of Management Science    2002, (4): 82-85.   Abstract （2175）      PDF （809KB）（4023）       Knowledge map    Using the theory of life table,we establish the actuarial model of contributing rate under pay-as-you-go system,and analyze the potential crisis based on the coming of old age population.According to the concrete condition in China,we derive the actuarial model of contributing rate under the social plan as a whole and the individual account system by using life annuity theory,and finally present a practical example of individual account in this paper. Reference | Related Articles | Metrics Cited: Baidu(27)

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New Energy Vehicle Sales Forecast Based on Siscrete Time Grey Power Model Lianyi Liu,Sifeng Liu,Lifeng Wu Chinese Journal of Management Science    2024, 32 (1): 106-114.   DOI: 10.16381/j.cnki.issn1003-207x.2021.2567 Abstract （146）   HTML （10）    PDF （701KB）（269）       Knowledge map    Accurate prediction of the new energy vehicle market’s development trend is of great practical significance for the realization of the development planning of the industry and China's energy strategic goals. Therefore， based on the existing two types of grey power models， an improved grey power model with multiple parameters is proposed， which can reflect the nonlinear effect of historical value and time sequence factors on the current value of the system. In addition， according to the information coverage principle of grey derivative， the differential form and derived discrete form of the model are given， denoted as DTGPM， and the time response function of the model is given， which avoids the complex integral solution process of the traditional grey power model. Furthermore， the heuristic algorithm is used to optimize the power parameters of the DTGPM model， and the prediction effectiveness of the model is verified by simulation experiments and practical example. Finally， the market sales volume of new energy vehicles is forecast. The forecast results show that the sales volume of new energy vehicles in China will reach 4.73 million in 2022， and is expected to reach nearly 10 million in 2025， accounting for 23.5% of the total sales volume of new vehicles. Table and Figures | Reference | Related Articles | Metrics

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Empirical Study of Influential Elements of E-loyalty DENG Ai-min, TAO Bao, MA Ying-ying Chinese Journal of Management Science    2014, 22 (6): 94-102.   Abstract （2609）      PDF （1439KB）（6294）       Knowledge map    Customer loyalty is an important factor for the network businesses to maintain market position and sustainable competitive advantage. However, the existing theoretical literature studies show that complexity and uncertainty of customer loyalty in the network environment have become a bottleneck to hinder further development of e-commerce. Therefore, on the basis of previous literature, structure equation model is built in this paper, regarding trust, online site characteristics, line logistics service quality, customer satisfaction, switching costs as external cause's latent variable, customer loyalty as endogenous latent variable. Questionnaire survey is used to collect empirical data, and factor analysis and structural equation model are introduced reveal influencing factors and action mechanism of customey loyalty in online shopping environment. The study turns out that in a network environment, trust can not only indirectly affect customer loyalty by customer satisfaction, but also can become the direct antecedent variables of customer loyalty. Online site characteristics and quality of logistics services commonly increase the customer satisfaction and indirect impact on customer loyalty accumulation; customer satisfaction and switching costs are the major factors with direct impact on customer loyalty in the network environment. The result reflects online shopping environment customer loyalty influencing factors and mechanism of action, there has very important reference value for network retailers to implement the plan of customer loyalty. Reference | Related Articles | Metrics Cited: Baidu(9)

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Credit Scoring Based on Semi-supervised Support Vector Machine Song Chen,Xiuyun Yu,Yongqin Qiu,Kuangnan Fang Chinese Journal of Management Science    2024, 32 (3): 1-8.   DOI: 10.16381/j.cnki.issn1003-207x.2021.2434 Abstract （101）   HTML （26）    PDF （1010KB）（130）       Knowledge map    To address the problem of difficulty and high cost in obtaining labeled samples in credit scoring， a new credit scoring model is proposed based on semi-supervised support vector machines. By introducing new parameters to the unlabeled samples， the model need not satisfy the random missing assumption and has good applicability. Meanwhile， adding a semi-supervised part to the loss function encourages the similarity between the coefficients of labeled and unlabeled samples， which can effectively fuse the unlabeled sample information and improve the estimation effect. In addition， Group LASSO is used for variable selection， which can make full use of the group structure information and screen important variables. The feasibility of the proposed method and its excellent results in variable selection， coefficient estimation and classification prediction are demonstrated by numerical simulations and an example data of credit card risk default prediction. Table and Figures | Reference | Related Articles | Metrics

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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 （423）   HTML （42）    PDF （1157KB）（768）       Knowledge map    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

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Research of that Science and Technology Economy Society Coordination Developement Model Sun Jian-Jing Chinese Journal of Management Science    1996, (2): 13-18.   Abstract （1986）      PDF （2451KB）（1719）       Knowledge map    In this paper. author tried to analyse coordinability relationship among science and technology, economy, socity, judge them by amount anaslysises, emphatically discussed grey system coordination model,establish conceptions of structure coordination and amount coordination. They have been used judging coordination relationship among science and technology,ecomony,society in one’s province on 1978 to 1988. years. Hence,put forward a way of analysing a number of systems coordination relationship. Reference | Related Articles | Metrics

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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 （536）   HTML （64）    PDF （907KB）（869）       Knowledge map    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

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Supply Chain Management:Theory and Method SHEN Hou-cai, TAO Qin, CHEN Yu-bo Chinese Journal of Management Science    2000, (1): 1-9.   Abstract （5979）      PDF （2827KB）（13889）       Knowledge map    In the 1990s, supply chain management has become one of the most important methods to improve the competitiveness for the business organization in the intensive global competitive market. In this paper, we introduce the basic philosophy of the supply chain management, discuss the theoretical and practical background which facilitates the arising of supply chain management. After studying the supply chain management process, we review supply chain models for the management decision making and discuss their implications for our business management. Reference | Related Articles | Metrics

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A Bertrand Model based on Contracts for Difference for Inhibiting Market Power PU Yong-jian, SUN Xian-hua Chinese Journal of Management Science    2017, 25 (5): 109-115.   DOI: 10.16381/j.cnki.issn1003-207x.2017.05.013 Abstract （1155）      PDF （1141KB）（1178）       Knowledge map    In this paper, the market power inhibiting effects of contracts for differences are studied. Due to oligopolistic characters owned by the electricity market, it is of great importance to focus on methods that could help restricting the market power of generators. The contract for differences is considered an effective way to control market power according to former researches, but the model we propose has the following characters that make our research special and creative. First of all, it is based on Bertrand model, which is properly applied in the electricity market, without adding any exogenous factors suggesting the relationship between the bidding price and the electricity quantity. It provides conditions that guarantee positive profit of generators. Secondly, Lerner index is introduced to the model for assessing market power. The main parts of this paper include the Nash equilibrium of generators in an identical duopoly electricity market (which is gained by analyzing the best responses of each generator), the superior limit of both equilibrium price and Lerner index, the conditions to guarantee positive profit and illustration of identical duopoly electricity market by data simulation. Finally, the conclusion that the absolute electric quantity contract for difference has inhibiting effect on market power in an identical duopoly electricity market is drawn through the movement of the superior limit of Lerner index. This research provides a tool for other researches that consider using Bertrand model for analyzing contractual problems in electricity market, which is not often used in former researches due to the zero profit of classical Bertrand model, though it actually matches the electricity market. Reference | Related Articles | Metrics

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Quantity Analysis on the Influence Factors of the Profitability for High Technical Listed Companies HUANG Tong-cheng, YANG Jian Chinese Journal of Management Science    2002, (4): 13-17.   Abstract （2240）      PDF （1968KB）（2947）       Knowledge map    By using the Box-Cox alternate form and the method of regression analysis,this paper engages in the quantitative analysis of the correlation between the future perstock profit and the quantitative indexes,such as the company growth flow,the rate of industrial growth and the variable coefficient of market share of the high technical listed companies.It also proposes an evaluation index number-the rate of marginal growth flow,which can evaluate the profitability of the high technical listed companies.The empirical studies show that given the present market price of the stock,the rate of marginal growth flow reflects the investment worth of the high technical listed companies scientifically,therefore is a very good evaluation index. Reference | Related Articles | Metrics Cited: Baidu(31)

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Supply Chain Information Disclosure Strategy Considering Uncertain Demands Under the Development Pattern of Dual Circulation Jiaguo Liu,Huimin Zhang,Mingming Yang Chinese Journal of Management Science    2024, 32 (1): 220-230.   DOI: 10.16381/j.cnki.issn1003-207x.2021.1860 Abstract （75）   HTML （5）    PDF （756KB）（146）       Knowledge map    Under the new development pattern of dual circulation and facing the uncertainty of the market， it’s worth discussing whether local manufacturers with comprehensive data have the motivation to disclose information and whether more accurate demand signals are beneficial to all parties in the supply chain. A stylized signal game model under the competitive environment is constructed to study the information disclosure problem in the supply chain system. In the two modes of information encryption and information disclosure， factors affecting the strategy choices of the supply chain members such as product brand image， market demand uncertainty， and investment efficiency are considered to deduce the conditional interval for achieving the Pareto optimality of the supply chain. The results show that encrypting company information to maintain the information security of the supply chain may not be the best choice for local manufacturers. When the investment cost is higher than a certain threshold， local manufacturers will voluntarily abandon the information encryption strategy and turn to the disclosure strategy， while the multinational manufacturers always favor the information disclosure strategy. Meanwhile， there is a win-win interval for domestic and foreign supply chain members， which are specifically divided into “win-win under a high-quality image” and “win-win under a poor-quality image”. Interestingly， the size of the win-win interval is affected by the market demand uncertainty， noise deviations that interfere with market forecasts， and foreign wholesale prices. Therefore， companies should pay close attention to market fluctuations and their own brand image before making strategic choices. Table and Figures | Reference | Related Articles | Metrics

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Weighted Realized Bipower Variation of Financial Volatility and Its Application LI Sheng-ge, ZHANG Shi-ying Chinese Journal of Management Science    2007, 15 (5): 9-15.   Abstract （2397）      PDF （2635KB）（3038）       Knowledge map    Volatility is a hottopic in financial research.People pay more and more attention to the high frequency data in finance because it contains more volatility information of intraday return than low frequency data does.Realized volatility is a completely new method to calculate volatility of high frequency data, which is applied widely in the study of high frequency data in finance.There are many methods to improve on the realized volatility for it has shortcomings of bigerror and non-robust ness.Among these,only the realized bipower variation overcomes the shortcoming of non-robust ness.The concept of weighted realized bipower variation which is put forward in this article,is not only robust but also unbiased and efficient. The theorem poof and the demonstration study also show the same conclusion:it can measure the volatility more precisely. Related Articles | Metrics Cited: Baidu(9)

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Strategies of Manufacturers Introducing Live Streaming Le Wang,Yang Song,Tijun Fan Chinese Journal of Management Science    2024, 32 (2): 276-284.   DOI: 10.16381/j.cnki.issn1003-207x.2021.2472 Abstract （142）   HTML （17）    PDF （768KB）（141）       Knowledge map    With the development of internet technology， the online direct selling mode is rapidly emerging. However， the direct selling mode by the manufacturer suffer from product untouchability， which will directly affect consumers’ perceived value of the product. As a new online sales mode， live streaming can improve consumers’ perceived value by increasing the touchability of the product， and the price discount during live streaming can also improve consumers' willingness to buy. However， it takes time for consumers to watch the live streaming， which brings hassle cost. Therefore， whether manufacturers introduce live streaming and what pricing strategy to adopt after introduction live streaming are urgent issues to be studied.In order to solve this question， two models of whether the manufacturer introduces a live streaming sales mode are considered. Consumers in the market are divided into live streaming time consumers and non-live streaming time consumers. Considering the consumer’s perceived value of the product and the hassle cost， the consumer’s utility function is constructed， and the manufacturer simultaneously decides the prices of the live streaming product and the direct selling product to maximize its profit. Then the KKT condition is used to solve for the manufacturer's equilibrium pricing and profit to determine the manufacturer's live streaming introduction strategy.The results show that the decision of manufacturers live streaming introduction is related to the average perceived value of products and the change range of perceived value. The higher the hassle cost for consumers to watch live streaming， the lower the demand for live streaming， and the manufacturers raise the direct selling price to obtain more revenue. The profits of manufacturers and demand for direct selling first decrease and then increase with the increase of consumers' hassle cost of watching live streaming. Moreover， with the increase of the perceived value of live streaming for the product， manufacturers increase the sales price of live streaming and reduce the direct selling price to expand the total demand of products. The manufacturer's profit first decreases and then increases with the increase in the perceived value of live streaming for the product. The introduction of live streaming changes the mode of single-channel direct selling and increases the difficulty of manufacturers' decision-making. The research has certain guiding significance for live streaming introduction and pricing strategy of manufacturers in the market. Table and Figures | Reference | Related Articles | Metrics

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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 （2137）      PDF （1038KB）（2395）       Knowledge map    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

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Sales Mode Selection of Fresh E-commerce with Asymmetric Production Cost Information LIN Qiang, MA Jia-xin, CHEN Liang-jun, LIN Xiao-gang, ZHOU Yong-wu Chinese Journal of Management Science    2023, 31 (6): 153-163.   DOI: 10.16381/j.cnki.issn1003-207x.2020.1797 Abstract （249）      PDF （1596KB）（555）       Knowledge map    In recent years, the tremendous growth of the e-commerce industry are witnessed by us, and a large number of manufacturers who produce fresh products have started to sell through online platforms (e.g., JD.com and Tmall). In practice, the online platforms can choose to act as online marketplaces for the manufacturers (i.e., agency selling). Under this selling format, the manufacturers participate on the platforms by paying a proportional fee and directly sell their products to customers at a selling price. Besides, the platforms can also act as resellers for the manufacturers (i.e., reselling). Under this selling format, the manufacturers sell their products to the platforms at a wholesale price and then the platforms sell the products to customers at a selling price. This raises an important question of which selling format should both the online platforms and the manufacturers adopt. In fresh-product e-commerce supply chains, the upstream manufacturers often need to determine the optimal production levels by incurring costs, and the costs are uncertain to the downstream online platforms. The platforms thus cannot infer the qualification rate and will carry out sampling test to improve the quality level of the products, although the platforms fail to find out all unqualified products. Moreover, if the agency selling (reselling) format is employed, the manufacturers (online platforms) would improve the freshness of the products by incurring costs as much as possible. It is investigated how the production costs’ information asymmetry and the accuracy of the sampling test affect the selling format selections of the platforms and manufacturers. Reference | Related Articles | Metrics

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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 （1641）      PDF （1642KB）（1526）       Knowledge map    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

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A Combinational Evaluation Method Resulting in Consistency between Subjective and Objective Evaluation in the Least Squares Sense MAO Ding-xiang Chinese Journal of Management Science    2002, (5): 95-97.   Abstract （2306）      PDF （752KB）（3122）       Knowledge map    In this paper,we analyze first the basic principles of subjective and objective weighting methods.Then,we put forward a combinational evaluation method resulting in consistency between subjective and objective evaluation in the least squares sense and use an example to show the reason of the method. Reference | Related Articles | Metrics Cited: Baidu(79)

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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 （1386）      PDF （2837KB）（1379）       Knowledge map    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