Automobile Enterprises Research Articles

A Study on Consumers’ Willingness to Purchase Autonomous Vehicles from a Multi-Party Interaction Perspective: A Tripartite Evolutionary Game Model Involving the Government, Automobile Manufacturers, and Consumers

With the rapid development of autonomous driving technology, the advent of the autonomous driving era has become inevitable. An in-depth study of consumers’ willingness to purchase autonomous vehicles is critical to accelerating the adoption and commercialization of autonomous vehicles. By constructing a tripartite evolutionary game model of governments, automobile manufacturers, and consumers, we analyze the stable choice of unilateral strategy and equilibrium strategy of autonomous vehicle purchase intention. The MATLAB2022b tool was used for data simulation analysis to verify the validity of the conclusion and the influence of related factors on the purchase intention toward autonomous vehicles. The results show the following: (1) The combination of government support, active R&D, and consumer purchasing is the evolutionary stability strategy (ESS) of the model. (2) With an increase in government support, the probability of automobile enterprises taking the initiative to participate in R&D also increases. However, the negative impact of risk can significantly reduce the incentive for firms to conduct R&D and reduce the effectiveness of government support. (3) Government subsidies to consumers and purchase incentives offered by automotive companies can significantly increase the likelihood that consumers will purchase an autonomous vehicle. Based on these findings, recommendations are made to strengthen government support, establish risk mitigation mechanisms, and strengthen market promotion efforts to promote the commercialization of autonomous vehicles. The study provides a new perspective for understanding multi-party interactions in the rollout of autonomous vehicles and provides valuable insights for policymakers and industry stakeholders.

Ego-network characteristics moderates the interaction of structural hole and centrality on market performance: based on coopetition network

This paper establishes a symmetric matrix based on the coopetition relationships among global automobile enterprises, and uses Ucinet software to obtain the visualization chart of the coopetition network of global automobile enterprises. Then, the multiple moderating effect method and two-stage least squares method are adopt to reveal the interaction between structural hole and centrality on enterprise market performance, and how the ego-network characteristics affect this interaction. The results show that structural hole and centrality have a positive interaction on market performance. Compared with high ego-network stability, the positive interaction between structural hole and centrality on enterprise market performance is stronger under the condition of low ego-network stability. And compared with low ego-network density, the positive interaction between structural hole and centrality on market performance is stronger under the condition of high ego-network density. These new findings further strengthen the connection between the overall network and ego-network.

Enhancing supply chain performance by integrating knowledge management and lean, agile, resilient, and green paradigms

Due to global market competition, there is an increasing emphasis on utilizing lean, agile, resilient, and green (LARG) paradigms to improve Supply Chain (SC) performance. Furthermore, as technology advances, Knowledge Management (KM) is essential in improving SC performance through information sharing, improving processes, and increasing coordination and collaboration. Thus, this research proposes a novel approach to integrating KM with LARG paradigms to enhance SC performance. Also, the decision framework is presented using Multi-Criteria Decision-Making (MCDM) approaches, including the Grey Step-wise Weight Assessment Ratio Analysis (SWARA-G) and Grey Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS-G) method. The presented approach is implemented in an automobile enterprise to improve SC performance. The findings indicated that building coordination and collaboration to improve efficiency, facilitate operations, and reduce communication and exchange costs was introduced as the most critical strategy in the automotive industry.

A Sustainable Production Planning Scheme for New Energy Vehicles in China

The carbon emissions of new energy vehicles (NEVs)have transited from the use stage to the production stage, indicating that the environmental impact of NEVs in the manufacturing stage cannot be ignored. To reduce carbon emissions and maintain profits, this study proposes a fuzzy multi-objective optimization model to achieve a sustainable production planning scheme for NEVs. The proposed model not only considers the maximum profits of automobile enterprises but also the minimum target of carbon emissions in the production process, to coordinate the optimal production quantity. The results show that the output of NEVs in different price ranges has different proportions. The market share of blade electric vehicles is the highest, accounting for 39% of the NEV market, and the proportion of plug-in hybrid and blade electric vehicles is increasing. The sensitivity analysis further reflects the impact of government subsidy “recession” and body lightweight on the output, carbon emissions, and annual profits of NEVs in China. Accordingly, this paper provides policy implications for achieving a sustainable production planning scheme for NEVs in China.

Research on Pricing Strategy of new Energy Vehicle Market

With the increasingly severe global climate change and environmental problems, new energy vehicles, as an important choice for green travel, have received widespread attention. However, the pricing strategy of the new energy vehicle market has been one of the important challenges facing automakers. Especially in China, as the world's largest automobile market, the pricing strategy of new energy vehicles not only affects the profits of enterprises, but also directly relates to the purchasing decisions of consumers. Taking BYD Auto as an example, as a leader in China's new energy vehicle industry, its pricing strategy has important reference significance for the entire industry. Through literature review, interview and investigation, and content analysis, this paper analyzes and studies the current situation of BYD automobile in terms of pricing strategy, and combines the current situation of China's new energy automobile industry to find out existing problems and propose corresponding optimization measures to improve the performance of new energy automobile enterprises. After in-depth research and analysis, this study draws the following conclusions: BYD Auto's existing pricing strategy has taken into account consumer psychology and market competition environment to a certain extent, but there are still some problems. Therefore, BYD Auto should flexibly adjust its pricing strategy according to changes in the market environment and consumer demand, strengthen communication and interaction with consumers, and improve brand awareness and loyalty. This study provides useful reference and enlightenment for BYD Auto and other new energy vehicle manufacturers, and helps enterprises to formulate more scientific and reasonable pricing strategies to achieve sustainable development.

Analysis on the New Energy Transformation of Traditional Automobile Enterprises Taking Mercedes-Benz, BMW and Audi as Examples

Analysis on the New Energy Transformation of Traditional Automobile Enterprises Taking Mercedes-Benz, BMW and Audi as Examples

The Impact of Digital Transformation on Product Innovation - Mediated by Business Model Innovation

Based on the dynamic capability theory, this paper proposes a moderated mediation model to examine the role mechanism of digital transformation affecting enterprise product innovation and its boundary conditions. By empirically analyzing 123 survey data from new energy automobile enterprises, the results show that there is a significant positive impact of digital transformation on product innovation; business model innovation plays a mediating role between digital transformation and enterprise product innovation; and knowledge sharing plays a moderating role in the mechanism of this process. The conclusions of the study provide new insights into the relationship between digital transformation and enterprise product innovation, as well as a new contribution to the theoretical study of business model innovation, and also provide theoretical support and practical reference for enterprises to further construct digital transformation, innovative business model frameworks, and to build knowledge sharing platforms.

Analysis of Build Your Dream's Marketing Strategy

With the continuous progress of science, environmental pollution is becoming more and more serious. Environmental problems are paid more and more attention by people. Under the premise of actively advocating new energy vehicles and green development, BYD (BYD) new energy vehicles in the context of green development, people began to gradually pay attention to the energy issues of the automotive industry. At the same time, the goal is to replace the traditional energy vehicle industry. However, China also strongly supports the development of the new energy vehicle industry. China has ambitious goals for developing new energy vehicles. At present, the Chinese government's subsidies for new energy automobile enterprises are very large, so the subsidies for new energy automobile enterprises within 1, BYD enterprise performance is particularly outstanding, it can be said that China's new energy leader. The research goal of this paper is to analyze the marketing strategy of BYD Company and get the research results that BYD is a seed player in China, with many uninspiring potential. The increase in green travel also makes environmental protection more advanced.

Research on Influencing Factors of Consumers Willingness to Buy New Energy Vehicles under the Background of Technological System Reform of Automobile Industry -- Taking Chengdu, Sichuan as an Example

With the transformation and upgrading of the automobile industry, automobile enterprises have combined their advantages and resources to make up for their shortcomings and meet the challenges of market transformation. In order to better provide future development direction and suggestions for new energy automobile enterprises and government departments, and guide enterprises, government and consumers to establish a mutually beneficial and symbiotic coupling relationship, this study will conduct an empirical study on the influencing factors of consumers willingness to buy new energy vehicles.

XPENG Equity Structure Analysis and Stock Price Forecast

The market competition for new energy vehicles is becoming increasingly fierce. Under the Internet operation mode, the automobile manufacturing industry is divided into new forces and traditional automobile enterprises, which have a profound impact on the profit model of the automobile industry, and the driving force of enterprise operation is working capital. It is necessary the manage enterprise working capital to improve the comprehensive competitiveness of enterprises. Xiaopeng (also called XPENG) is a listed company of automobile brands. It adopts a dual-class share structure to allocate the company's shares. The structure can also be used to analyze how this will affect XPENG's stock price and predict the future trend of XPENG's stock price. The paper aims to analyze how this will affect the stock price of XPENG Company through the dual-class share structure, and predict the future direction of the stock price of XPENG Company. At the same time, the paper also hopes to forecast the stock price situation of XPENG Company through a series of reports and comparisons with other tram industries.

Evolution Characteristics and Influencing Factors of City Networks in China: A Case Study of Cross-Regional Automobile Enterprises

The optimization of the spatial structure of the city network is conducive to the scientific spatial distribution of industries and the promotion of coordinated regional development. This study selected the top 100 automobile enterprises in the Chinese stock market that belong to China’s pillar industry, a total of 1455 headquarters and branches, to establish an enterprise matrix. Based on the ownership linkage model, the evolution characteristics of city networks in China from 2000 to 2020 are revealed, and the influential factors of city networks are discussed using the negative binomial regression model. The findings are as follows: (1) there are significant differences in the status of automobile cities, forming a “pyramid network” hierarchy. (2) The agglomeration area of automobile cities has formed the development region of “4 + 4 + 1”. (3) The city network with hierarchical connections has formed a spatial structure of a “cross–cobweb” in the middle and “trapezoid–diamond” in the periphery. (4) Urban transportation conditions, the scientific research environment, the enterprise agglomeration economy, GDP per capita, and technological proximity positively impact the formation of a city network, but the total export–import volume has a negative impact. Overall, the government can use this study’s results to formulate policies for the automotive industry and urban development.

Supply Chain and Logistics Management in the Automotive Industry

This examine investigates supply chain and logistics control practices inside the automobile enterprise, specializing in elements influencing deliver chain performance and organization profitability. The studies technique consists of stratified random sampling, device development, validation, and statistical analyses such as paired-samples t-take a look at, regression, ANCOVA, and Pearson correlational analyses. Descriptive records reveal key performance metrics, even as regression analyses show high-quality relationships between supply chain performance variables (inventory turnover, order achievement percentage, provider first-rate) and corporation profitability, controlling for corporation length. ANCOVA outcomes highlight mixed influences of deliver chain performance and organizational elements on profitability, while correlational analyses suggest robust positive correlations between stock turnover, order achievement percent, dealer high-quality, and organization profitability.

Research on the Application of VR Technology in the Field of Automotive Marketing

With the increasingly fierce competition in the automotive market, the application of VR technology in automotive marketing by automotive enterprises plays an important role in improving consumer experience, gaining competitive advantages in the industry, and boosting the digital transformation of automotive enterprises. This paper reviews the current situation of VR technology in the field of automobile marketing, studies relevant policies, summarizes the application of VR technology in automobile marketing, and finally forecasts the development trend of VR technology in automobile marketing and gives relevant suggestions. The purpose of this paper is to provide some reference for promoting Chinese automobile enterprises to obtain competitive advantage in global automobile marketing.

Scenario analysis of hydrofluorocarbons consumption and emission reduction in China's mobile air-conditioning sector

The automobile air conditioning industry is an important consumption area of hydrofluorocarbons (HFCs), and the analysis of the use and emission reduction of HFCs in this industry is of great significance for environmental protection. This study aims to measure and analyze the HFC consumption and emission reduction in China's MAC industry and the cost of emission reduction in automobile enterprises through an in-depth analysis, to provide a scientific basis for the formulation of relevant policies and to support the country in achieving HFC emission reduction targets in the field of environmental protection. In this study, the Gompertz model combined with the vehicle survival rate Weibull was used to predict the vehicle ownership and sales in China, and then the HFC consumption and emission reduction in China's MAC industry and the cost of emission reduction in automobile enterprises were measured and analyzed with reference to the experience of relevant domestic and foreign measurement models. The results show that under the four scenarios of R27-X29, R29-X29, R29-X29, and R29-X35, the cumulative use of HFCs will be reduced by 61.44%−73.19%, and the cumulative emission will be reduced by 51.85%−64.55% in the period of 2023–2060, while the cumulative abatement cost of the automobile enterprises in the period of 2023–2060 will be RMB 419.31–481.02 billion. 481.02 billion yuan. The adoption of a policy banning HFCs refrigerants in M1 and N1 vehicles has a significant effect on reducing HFCs consumption and emissions, and the abatement cost will decrease with the expiration of new refrigerant patents, increased demand, and technological advancements.

Driving Distraction Evaluation Model of In-Vehicle Infotainment Systems Based on Driving Performance and Visual Characteristics

With the rapid development of automotive electronic technology, increasingly car enterprises choose to carry touchscreen in-vehicle infotainment systems (IVISs) in smart cars. The integration of navigation, music, telephone, and other functions into touchscreen IVISs has greatly enriched the driving experience. However, the design of touchscreen IVISs, which lacks consideration of driver human–computer interaction leads to increased driving distraction. The current discussion is limited to evaluating the overall distractions of the secondary task, and there is a lack of research on classifying and summarizing the types of driving distractions. Therefore, this paper proposes a new method to evaluate the degree of driving distraction during the interaction with touchscreen IVISs based on driving performance and visual characteristics. A driving simulation environment was built to conduct psychological experiments on three types of driving distraction, namely visual, manual, and cognitive distraction, respectively, to obtain the impact of different types of driving distraction by using touchscreen IVISs. Combining the criteria importance through intercriteria correlation method with fuzzy comprehensive evaluation to establish a driving distraction evaluation method, we quantify the driving distraction caused by the touch screen IVIS. The results of this study indicate that the proposed driving distraction evaluation model by using driving performance and visual characteristics can effectively evaluate the degree of driving distraction caused by the touchscreen IVIS and provide reference and specification for IVIS safety design from a human–computer interaction perspective.

Joint Incentive Mechanism Design and Energy-Efficient Resource Allocation for Federated Learning in UAV-Assisted Internet of Vehicles

With the increasing demand for application development of task publishers (e.g., automobile enterprises) in the Internet of Vehicles (IoV), federated learning (FL) can be used to enable vehicle users (VUs) to conduct local application training without disclosing data. However, the challenges of VUs’ intermittent connectivity, low proactivity, and limited resources are inevitable issues in the process of FL. In this paper, we propose a UAV-assisted FL framework in the context of the IoV. An incentive stage and a training stage are involved in this framework. UAVs serve as central servers, which assist to incentivize VUs, manage VUs’ contributed resources, and provide model aggregation, making sure communication efficiency and mobility enhancement in FL. The numerical results show that, compared with the baseline algorithms, the proposed algorithm reduces energy consumption by 50.3% and improves model convergence speed by 30.6%.

Research on the Application of Digital Twins Technology in the R and D Stage of Automobiles Enterprises

As a pillar industry of the country, the digital transformation of the automobile industry is of great significance to optimize the upgrading of the automobile industry structure, promote the long-term development of automobile enterprises, and accelerate the construction of smart cities and smart transportation. However, for all automobile enterprises to promote the digital transformation of automobile industry, it is necessary to formulate a complete set of digital transformation plan for the whole life cycle of automobile product development, among which Digital twins technology can be used as the first choice of digital transformation plan. Only by promoting digital transformation can enterprises be competitive in the future development.

Evolutionary analysis of green credit and automobile enterprises under the mechanism of dynamic reward and punishment based on government regulation

To explore the green development of automobile enterprises and promote the achievement of the “dual carbon” target, based on the bounded rationality assumptions, this study constructed a tripartite evolutionary game model of government, commercial banks, and automobile enterprises; introduced a dynamic reward and punishment mechanism; and analyzed the development process of the three parties’ strategic behavior under the static and dynamic reward and punishment mechanism. Vensim PLE (Personal Learning Edition) was used for numerical simulation analysis. Our results indicate that the system could not reach a stable state under the static reward and punishment mechanism. A dynamic reward and punishment mechanism can effectively improve the system stability and better fit real situations. Under the dynamic reward and punishment mechanism, an increase in the initial willingness of the three parties can promote the system stability, and the government can implement effective supervision by adjusting the upper limit of the reward and punishment intensity. Finally, the implementation of green credit by commercial banks plays a significant role in promoting the green development of automobile enterprises.

ИЗМЕНЕНИЕ ТЕХНИЧЕСКОГО СОСТОЯНИЯ ДВИГАТЕЛЕЙ ЛЕГКОВЫХ АВТОМОБИЛЕЙ В УСЛОВИЯХ ЭКСПЛУАТАЦИИ

This study presents the results of collecting and analyzing statistics on the wear of pistons of budget-class passenger car engines during active operation. The devices and methods of collecting experimental data on the wear of the cylinder-piston group of engines are described. The main ones were: measuring piston wear in four projections with a micrometer MK-100 GOST 6507-90 with a measurement error of ± 0.005 mm and measuring the compression properties of engines with a compressor, the latter showed low accuracy of displaying the technical condition according to the results of the study. The purpose of the study was to verify the effectiveness of common methods of diagnosing internal combustion engines, as well as to identify the dependence of wear on the frequency of oil change, the design features of the engine lubrication system (the presence of oil nozzles cooling pistons). As a result of the study, the inefficiency of the diagnostic method by measuring compression with various devices was revealed, since when the cylinder-piston group wears out with simultaneous wear of the rubber seals of the valves, the oil acts as an additional seal in the engine cylinder and "masks" the actual compression index of the internal combustion engine. In addition, the results of the study confirmed the effectiveness of the presence in the design of the lubrication system of piston cooling oil injectors designed to supply oil when a certain pressure in the lubrication system is reached to a more loaded cylinder wall and piston bottom – based on the revealed fact, it becomes possible to make recommendations on the refinement of the engine design during major repairs at automobile enterprises, service stations by introducing oil injectors into the engine block, which will lead to an increase in the life of the cylinder-piston group and longer trouble-free operation of the engines.

Analysis of the Motivation and Approach of Digital Transformation in New Energy Enterprises—Taking Y Automobile Enterprise as an Example

Analysis of the Motivation and Approach of Digital Transformation in New Energy Enterprises—Taking Y Automobile Enterprise as an Example