Table of Content

28 March 2023, Volume 32 Issue 2 Previous Issue    Next Issue

Select

Open-Closed Hybrid Vehicle Routing Optimization of Multi-Center Joint Distribution WANG Yong, LUO Siyu, ZHOU Xue, LIU Yong, XU Maozeng 2023, 32 (2):  215-232.  doi: 10.3969/j.issn.1005-2542.2023.02.001 Abstract ( )   PDF (4831KB) ( )   In order to overcome the shortcomings of the resource integration and sharing and the design of a cooperative profit distribution mechanism in the open-closed hybrid vehicle routing optimization of multi-center joint distribution, an open-closed hybrid vehicle routing problem of multi-center joint distribution is proposed. First, an optimization model is proposed to minimize the total logistics operating cost, including transportation cost, penalty cost, vehicle rental cost, and distribution cost. Then, according to the characteristics of the model, a three-dimensional K-means clustering algorithm is designed to consider the geographical locations and time window constraints of customers, and a genetic algorithm-particle swarm hybrid optimization is proposed to solve the model. The proposed algorithm designs a selective granting mechanism between the genetic algorithm and particle swarm algorithm to improve the diversity of the population and the convergence of the obtained optimal solutions, and enhance the local and global search capabilities. Next, a cost gap allocation method is employed to study the profit allocation optimization of the multi-center joint distribution. Afterwards, the strict monotonic path principle is used to study the selection of alliance cooperation sequences, and then the stability of multi-center joint distribution alliance is discussed. Finally, the proposed model and algorithm are validated via the comparison and analysis of algorithms and a real-world case study, the differences of the indicators in the multi-center joint distribution optimization schemes with different distribution modes are compared and analyzed, and the effectiveness and applicability of the proposed method are further verified. This paper can provide a method reference and decision support for the study of the multi-echelon multi-center joint distribution network optimization problem. Related Articles

Select

Choices of Business Model and Competition of Mobile Applications Under the Influence of Network Externalities LI Zhongping, WANG Le, SUN Lianjia, WANG Luyao 2023, 32 (2):  233-247.  doi: 10.3969/j.issn.1005-2542.2023.02.002 Abstract ( )   PDF (4016KB) ( )   The mobile application is one of the most promising industries in this century. The trade-off between maintaining monopoly and introducing competition is influenced by the network effects of the mobile application industry. The rise of the pay-per-use model in recent years affects the choice between pay-per-use and traditional sales models for mobile application enterprises. Based on the consumer utility theory, this paper develops a dynamic game model on the choice of business models of mobile application enterprises, and analyses the choice of the optimal business model and corresponding competitive strategies of enterprises under the influence of different network externality strengths. It is found that enterprises adopting the sales model can appropriately introduce competitors adopting the pay-per-use model to increase their overall profits, while enterprises adopting the sharing model should try to avoid competition and maintain their monopoly position by adopting patenting and other means. Related Articles

Select

Service Pricing Strategy of Digital Music Platform Based on Strategic Consumers LI Chunfa, MI Xinxin, HAO Linna, ZHOU Chi 2023, 32 (2):  248-259.  doi: 10.3969/j.issn.1005-2542.2023.02.003 Abstract ( )   PDF (1256KB) ( )   Effective service pricing strategy is important for the digital music platform to improve users’ stickiness and profitability. According to the characteristics of the free, single-stage, and successive-stage membership service of the digital music platform and the myopic and strategic behavior of consumers, a two-stage game model in the basic mode and the mixed mode is established, which reveals the influence of the service of the platform, the willingness of consumers to pay, and the proportion of strategic consumers by comparing and analyzing the optimal platform pricing, profit, and consumer demand. The results show that compared with the basic mode, the mixed mode can improve the profit of the platform. The skimming pricing strategy should be adopted in the single-stage membership service. The membership service fee increases with the willingness of consumers to pay. If a higher level of free service is provided, the platform cannot guarantee the increase in the demand and profit by reducing the membership service fee. With the increase of the proportion of strategic consumers, the platform should improve the profit by reducing the price of successive-stage membership service. Related Articles

Select

User Segmentation and Behavior-Based Pricing of Platform Sellers LI Feng, WEI Ying 2023, 32 (2):  260-275.  doi: 10.3969/j.issn.1005-2542.2023.02.004 Abstract ( )   PDF (7859KB) ( )   Firms often use differentiated pricing strategies based on the consumer segmentation from their purchasing histories, the so-called behavior-based pricing (BBP). The user information increases as the platform commerce grows, and how to use the information resources to improve the classification of users and implement segmented pricing becomes an important question faced by platform sellers. The heterogeneity and bounded rationality of online consumers even complicates the problem. Employing a multi-methodology of analytical modeling and agent-based modeling and simulation, this paper compares a varied set of information and segmentation policies. An in-depth investigation on consumer behavioral factors such as willingness-to-pay, loyalty, and bounded rationality was conducted. The findings indicate that the consumer segmentation based on the historical purchasing records benefits the platform seller more than the segmentation based on the labels of loyalty. Less information may benefit the seller more. The seller benefits from BBP when consumers have bounded rationality, and the benefit of BBP is more prominent when consumers have a lower willingness-to-pay for the product. In addition, when a competitor deploys a BBP strategy, the seller benefits from differentiated pricing instead of uniform pricing to counteract the rival. Related Articles

Select

Nature of NWT-B and NIT-B Scheduling Problems Under Predictable Disturbance Conditions BO Hongguang, LIANG Lijing, LU Zhibing, LI Longlong 2023, 32 (2):  276-289.  doi: 10.3969/j.issn.1005-2542.2023.02.005 Abstract ( )   PDF (7902KB) ( )   According to the processing characteristics of NWT-B (no-wait flow shop batch manufacturing system) and NIT-B (no-idle flow shop batch manufacturing system), the applicability of scheduling rules under the predictable machine disturbance condition was studied. In the dual machine proportional pipeline environment, with the maximum completion time or the minimum completion time of the processing batch as the initial scheduling objective, and the tardiness time and the minimum as the disturbance repair objectives, considering whether there are two cases of processing batch weight, five disturbance management problems are proposed that take into account different initial scheduling objectives and different disturbance repair objectives respectively. Using the method of reduction to absurdity and synthesis, the applicability of SPT, WSPT, and LPT scheduling rules in solving the above five problems is proved respectively. The research results provide a method support for processing enterprises to respond to the predictable disturbance conditions quickly. Related Articles

Select

Traffic Equilibrium in the Presence of Carpooling and Taxis: Should Vacant Taxis Use HOV Lanes? DING Dong, SHUAI Bin, ZHU Jincheng, LIU Sitian 2023, 32 (2):  290-299.  doi: 10.3969/j.issn.1005-2542.2023.02.006 Abstract ( )   PDF (6699KB) ( )   To explore the impacts of the utilization of vacant taxis using HOV (high occupancy vehicle) lanes on traffic system, this paper investigates the spatial equilibrium of the taxi market with/without the access of vacant taxis to HOV lanes. It uses a combined variational inequality (VI) to describe the traffic system equilibrium built on the travel mode and route choice, and adopts the algorithm which combines the Gauss-Seidel decomposition technology with the MSA algorithm to solve the VI. The traveler can follow the Logit mode choice and user equilibrium on the network. The model and algorithm are applied to a numerical example, and proceed on the comparative static analysis by comparing the performances of the network with the various occupancy, taxi fleet-size, and the preliminary flag-fall price. The results show that allowing vacant taxis to use HOV lanes may cause the phenomenon similar to the Braess paradox and reduce social welfare, and the occurrence of this phenomenon depends on the parameters of the road network. Meanwhile, the effect of allowing vacant taxis to use HOV lanes is limited, which is basically caused by traffic flow distribution, while the oversaturation of HOV lanes rarely occurs. In addition, this paper also explores the impact of three variables, i.e., the average occupancy rate per unit vehicle, the number of taxis in the road network, and the starting price of taxis, on the policy of allowing vacant taxis to use HOV lanes. Related Articles

Select

Carbon Quota Trading Model Based on Quantum Blockchain ZHANG Yi, WU Qingjing, HU Wei 2023, 32 (2):  300-307.  doi: 10.3969/j.issn.1005-2542.2023.02.007 Abstract ( )   PDF (1063KB) ( )   Aimed at the problems of low security, high platform management cost, and carbon allowance trading in the current energy trading system, a carbon allowance trading architecture based on quantum blockchain is proposed. Through the establishment of a carbon emission rights allocation indicator system and the use of gray correlation analysis, the initial allocation of carbon emission rights allowances is realized and the fairness of the initial allocation of carbon allowances at participating nodes is guaranteed. The zero sum gains-data envelopment analysis (ZSG-DEA) model is used to calculate the carbon allowance utilization efficiency and optimization schemes of participating entities, and effectively promote the upgrading of the industrial structure. The embedded carbon allowance trading reward and punishment system effectively protects the interests of the subjects of emission reduction and low-carbon emissions. The quantum entangled state is used to sign smart contracts to ensure the security of quantum communication in carbon quota transactions and perform identity verification between transaction nodes. The analysis of calculation examples shows that the transaction structure can effectively guarantee the fairness of carbon allowance allocation, improve the utilization efficiency of carbon allowances, ensure the security of transaction data and user information in the carbon allowance transaction process, and promote the carbon allowance transaction process in the post-quantum era, Provide theoretical support and decision support for promoting the carbon quota trading process in the post quantum era. Related Articles

Select

Optimization of Capacity Allocation of Mobile Cabin Hospitals Considering Comparative Equity in Case of Major Outbreaks LIU Ming, LIAN Jingxuan, CAO Jie 2023, 32 (2):  308-318.  doi: 10.3969/j.issn.1005-2542.2023.02.008 Abstract ( )   PDF (1576KB) ( )   Mobile cabin hospitals played an important role in the prevention and control of COVID-19 in Wuhan. However, few studies focus on the optimization of capacity allocation of mobile cabin hospitals, especially from the perspective of equity and spatially explicit optimization. To reconstruct the scenario of mobile cabin hospitals in Wuhan, this paper defines the fairness function first by considering comparison psychology so as to describe the lack of equity perception in the pandemic area. Then, it proposes the optimal capacity allocation model of mobile cabin hospitals considering comparative equity. By using the intermediate variable, the number of patients with mild symptoms that can be accepted for treatment, the proposed model can effectively describe the interaction coupling between the allocation and the pandemic dynamics of mobile cabin hospitals. Compared with the scenario without considering equity, the time-space construction process of mobile cabin hospitals after considering equity is closer to the actual process in Wuhan, while the number of beds required is rather less than actually required. Moreover, by considering equity, the cumulative number of infections is less, and the goal of “all those in need can be treated” could be completed earlier while the proportion of budget allocation is stable. Finally, this paper proposes that the starting time of setting mobile cabin hospitals is very important, while emergency budget has an obvious diminishing effect of marginal utility. Related Articles

Select

Dynamic Effects of Problem Characteristics and User Characteristics on COVID-19 Knowledge Sharing: From Problem Informativeness and Problem Focusing Degree WU Hong, SHEN Jingxuan, DENG Zhaohua, ZHANG Bowen 2023, 32 (2):  319-331.  doi: 10.3969/j.issn.1005-2542.2023.02.009 Abstract ( )   PDF (1286KB) ( )   Social media plays a particularly important role during the COVID-19 outbreak as an important channel for information transfer, opinion exchange, and help-seeking. Therefore, the promotion of knowledge sharing among users is a hot topic in social media research. Taking the COVID-19 pandemic as the research background, this paper obtains problem characteristics by topic clustering based on the LDA algorithm and investigates the effects of problem characteristics and user characteristics on knowledge sharing from problem informativeness and problem focusing degree. Moreover, it also considers the three stages of the event development. The results show that first knowledge sharing behavior can be effectively promoted by increasing the informativeness and focusing degree of problems. In different stages of event development (initial stage, outbreak stage, and mitigation stage), the impact of problem characteristics and user characteristics is heterogeneous. The moderating effect of social reputation on the relationship between identity/connection and knowledge sharing behavior is significant. This paper provides a new perspective for the research on knowledge sharing behavior, and the research results have a certain guiding significance for user behavior and platform rule-making. Related Articles

Select

Volatility Prediction of Agricultural Products Based on Dual XGBoost Model: A Case Study of Corn Futures HU Yue, WANG Sangyuan, QING Haoheng, XU Liang, ZHANG Yiwei 2023, 32 (2):  332-342.  doi: 10.3969/j.issn.1005-2542.2023.02.010 Abstract ( )   PDF (1293KB) ( )   The volatility of agricultural futures plays a key role in the pricing of agricultural derivatives, risk diversification, and hedging of agricultural price risks. Accurate volatility forecasting allows investors to deal with adverse price changes and manage agricultural risks more effectively. However, there are several challenges in the field of volatility forecasting. The forecast period of volatility is short, only 1 day or 3 days, and it is difficult to reflect the price volatility of assets in the future for a long time. Previous studies have mostly focused on information such as price, and less consideration has been given to fundamental information in volatility forecasting. In addition, the interpretability of prediction models such as neural networks and deep learning is poor, and the selection of network construction and hyper parameters mostly depends on empirical selection. This paper proposes a volatility prediction framework based on the XGBoost model, considering the price and fundamental information, and analyzes the long-term trend and short-term changes of volatility. The empirical results show that the model with more information dimensions is helpful in improving the accuracy of volatility prediction. Compared with the traditional GARCH (1, 1), the MSE is reduced by more than 35%. Related Articles

Select

Gradient Descent Strategy for Online Portfolio Based on Adaptive Moment Estimation HE Jin’an, PENG Fangping, YIN Shicheng 2023, 32 (2):  343-354.  doi: 10.3969/j.issn.1005-2542.2023.02.011 Abstract ( )   PDF (6419KB) ( )   For online portfolio selection problem, making full use of historical data can effectively reduce the impact of market noise on investment strategies, but it usually results in reduced their computational efficiency. Correspondingly, the increasing development of high-frequency trading and the explosive growth of data volume increasingly require investment strategies to have efficient computational ability. To this end, this paper proposes an online portfolio gradient descent strategy based on adaptive moment estimation, which makes use of historical data in an incremental manner with the help of adaptive moment estimation. The theoretical analysis shows that this strategy is universal, i.e., it has the same asymptotic average logarithmic growth rate as the offline best constant rebalanced portfolio. Meanwhile, this strategy still maintains linear time complexity while making full use of historical data. The empirical analysis shows that this strategy has a good performance in terms of the return and computational time metrics, and can sustain reasonable transaction costs. Therefore, it has good practical application prospects. Related Articles

Select

Strategic Emerging Industry Policy on Enterprise Innovation Performance: The Intermediary Role Based on Cost of Debt Financing and Regulatory Role of Business Environment XIAO Zhenhong, HE Bowen, LI Yan 2023, 32 (2):  355-366.  doi: 10.3969/j.issn.1005-2542.2023.02.012 Abstract ( )   PDF (1386KB) ( )   Strategic emerging industries are an important force in guiding the future development of science and technology and industrial innovation, which is of strategic importance in promoting the modernisation of China. This paper uses the decision on the development of strategic emerging industries, which has been implemented since 2010, as a quasi-natural experiment to test the impact of strategic emerging industry policies on the innovation performance of enterprises and the mechanism of action based on the panel data of non-financial listed companies in Shanghai and Shenzhen from 2007 to 2019 using the propensity score multiplicative difference (PSM-DID) method. The results show that the strategic emerging industry policy plays a significant role in promoting the innovation performance of enterprises. From the perspective of influence mechanism, industrial policy can significantly promote the improvement of the innovation performance of enterprises by reducing debt financing cost. At the same time, a good business environment can positively regulate the relationship between industrial policy and the innovation performance of enterprises, and can positively regulate the effective reduction of debt financing cost of enterprises by industrial policy. Related Articles

Select

Relationship Between Heterogeneous Characteristics of Collaborative Network and Innovation Performance of Enterprises ZHOU Wenhao, LI Hailin 2023, 32 (2):  367-378.  doi: 10.3969/j.issn.1005-2542.2023.02.013 Abstract ( )   PDF (3851KB) ( )   Collaborative network is an important way for enterprises to adapt to the external uncertainty environment and conduct open innovation. Based on the joint patent application data in the SoC chips industry from 2003 to 2021, this paper analyzes, in detail, the topology and characteristics of the collaborative innovation network by using the social network analysis method, and empirically interprets the interaction mechanism and promotion paths of heterogeneity characteristics in various collaboration contexts on the innovation performance of enterprises by using the CART decision tree, K-means, and other machine learning methods. The results show that in the simple binary relationship networks, the innovation performance is mainly affected by the cooperation depth, while in the complex collaborative relationship networks, it is affected by both structural and non-structural factors. Betweenness centrality is the main factor. Cooperation depth and eigenvector centrality positively affect the innovation performance in those firms with weak resource bases. Degree centrality positively affects the innovation performance in those platform firms with concentrated resources. The effects of other features differ less in this two collaborative networks and do not have significant impacts on the innovation performance. The findings provide a path reference for relevant technology research and development enterprises to make partner selection and rationalize network resources to further improve innovation performance, and expand the analysis perspective for paradigm exploration of social science research in the era of digital economy. Related Articles

Select

Ambidextrous Learning，Innovation-Driven Process，and Digital Transformation: The Moderating Role of Digital Capability LV Chaolin, PENG Can, CAO Dongqin 2023, 32 (2):  379-394.  doi: 10.3969/j.issn.1005-2542.2023.02.014 Abstract ( )   PDF (3986KB) ( )   Under the new pattern of dual-circulation, the domestic market is characterized by high-level demand diversification and intensified competitive pressure. Meanwhile, pressures such as lack of resources during the pandemic have pushed companies to undergo digital transformation to seek viability. Based on the resource-based view and organizational learning theory, this paper explores the impact of ambidextrous learning on digital transformation from the perspective of ambidextrous learning and analyzes the effect of the innovation-driven process and digital capability on the above process. The two-stage least squares (2SLS) and Bootstrap methods were used to analyze the research data from 189 companies. The results show that ambidextrous learning positively affects digital transformation. The innovation-driven process plays a mediating role in the above relationship. In addition, digital capability positively moderates the relationship between ambidextrous learning and the innovation-driven process, as well as the relationship between the innovation-driven process and digital transformation, respectively. Furthermore, digital capability strengthens the mediating role of the innovation-driven process between ambidextrous learning and digital transformation. Related Articles

Select

Impact of Digital Transformation on Dependence of Enterprises on Key Customers：An Explanation Based on Economies of Scale and Scope LI Lei, YANG Shuili , CHEN Na 2023, 32 (2):  395-423.  doi: 10.3969/j.issn.1005-2542.2023.02.015 Abstract ( )   PDF (1021KB) ( )   Based on the reality that Chinese enterprises are generally reliant on key customers, the inherent mechanism of digital transformation affecting their dependence on key customers was explored from both economies of scale and economies of scope, and an empirical test was conducted using Chinese A-share listed companies from 2012 to 2020. The study indicates that digital transformation has significantly reduced the dependence of enterprises on key customers. The mechanism test suggests that digital transformation helps enterprises achieve the economy of scale and enhance their competitive edge in the market on the one hand, and facilitates them to form the economy of scope and expand business boundaries on the other hand, thus reducing their dependence on key customers. The heterogeneity analysis shows that the influence of digital transformation on key customer dependence is more significant in the samples of companies with low marketization levels, state-owned enterprises, and those in the maturity stage. Finally, it is found that the decreasing the effect of digital transformation on the dependence of key customers has promoted the continuous improvement of the resource allocation efficiency of enterprises. Related Articles

Select

Motivation of Executives of Listed Companies Catering to Market Merger and Acquisition SHANG Qianqian 2023, 32 (2):  424-434.  doi: 10.3969/j.issn.1005-2542.2023.02.016 Abstract ( )   PDF (1547KB) ( )   Based on the perspective of executive agency, this paper explores the motivation of market mispricing to increase merger and acquisition (M&A) in China. Using A-share listed firms from 2007 to 2019 as the research samples, it is found that the intermediary role of M&A in the impact of stock market mispricing on executive compensation is established, which means executives will increase the “tunneling behavior” of M&A to obtain a higher compensation when the M&A company is overvalued. In addition, the degree of financing constraints positively moderates the intermediary role of M&A between stock market mispricing and executive compensation. That is, executives of listed companies with a higher level of financing constraints have stronger motivations to gain private interests by catering to market M&A. However, M&A when the stock price is overvalued does not increase the M&A performance of listed companies. This paper not only provides ideas for improving executive compensation incentive and supervision and reducing inefficient investment behaviors, but also has an important significance understanding the effect of capital market on the investment and financing strategies of companies. Related Articles

Select

The Impact of the COVID-19 Epidemic on Mental Health and Policy Implications CHEN Jingqiu 2023, 32 (2):  435-444.  doi: 10.3969/j.issn.1005-2542.2023.02.017 Abstract ( )   PDF (1003KB) ( )   Empirical evidences based on samples from various countries show that the COVID-19 epidemic has dramatically increased the occurrence of psychological symptoms such as depression, anxiety and stress, and may negatively impact the adaptive function of the human body over time. In particular, COVID-19 affects mental health via a series of stressors which infiltrate all aspects of life threaten the most basic physiological, safety, and belonging needs. The conditions engendered by the epidemic have resulted in many vulnerable groups suffering  damage to their mental health. The “weakness” of China’s mental health service system, especially its uneven distribution of medical resources and the shortage of professional psychotherapy and counseling talents, make it extremely difficult to meet the challenge of spiking mental health problems and demand for psychotherapy after the epidemic. To this end, the top priority is to maximize the mental health services that the whole society can provide improve the health care sector’s ability to meet the needs of ordinary people seeking psychotherapy by means of various technologies, policy instruments and resource integration. At the same time, health policy departments should seize development opportunities after the epidemic to establish and improve China’s mental health service system. Related Articles