Systems最新文献

{"title":"From Constructing Future Landscapes to Developing Conceptual Narratives: Promoting Design Innovation in the Vehicular Metaverse through Forecasting and Backcasting","authors":"Tiantian Li, Zhiyong Fu","doi":"10.3390/systems12070258","DOIUrl":"https://doi.org/10.3390/systems12070258","url":null,"abstract":"The fusion of automotive and metaverse, the vehicular metaverse, is considered the next Internet revolution, bridging physical and virtual spaces. Innovation in the vehicular metaverse requires a bold visionary design while addressing real-world needs and industry concerns. This article proposes a novel transformation paradigm for the automotive metaverse, consisting of two stages: constructing future scenarios and developing scenario narratives. It also introduces an innovative design method for the automotive metaverse that integrates strategic foresight (SF) and design thinking (DT), which is structured into Phase–Key Assumptions–Methodology–Steps–Examples of Methods. In the Constructing Future Landscapes stage, we established a future sign library of 60 cases based on four dimensions, which serve as important materials to construct future scenarios; in the Developing Conceptual Narratives stage, we provided a domain case library of eight case types through LDA topic modeling, helping participants form innovative solutions. Various tools such as future wheels, metaverse product matrices, and conceptual aggregation templates were integrated into the six-step process to form a heuristic innovation methodology. Practical application through an online workshop yielded good results.","PeriodicalId":507784,"journal":{"name":"Systems","volume":" June","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141824077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Urban Development Scenario Simulation and Model Research Based on System Dynamics from the Perspective of Effect and Efficiency","authors":"Liu Yang, Yuchen Ma, Kailun Lou","doi":"10.3390/systems12070259","DOIUrl":"https://doi.org/10.3390/systems12070259","url":null,"abstract":"The accurate handling of the relationships between economy, society, and environment in urban development is an important vision and goal of urban construction. Taking Xi’an as an example, this study established an urban development system dynamics model, including three subsystems (economy, society, and environment), to propose eight different development plans, and data from 2021 to 2025 were simulated in each plan. Finally, based on the simulation data, the entropy weight method and the Epsilon-based measure (EBM) model in data envelopment analysis (DEA) were used to measure the effect and efficiency of development in the city, respectively. The results showed that, in terms of effect, the comprehensive development plan (P8) had the highest score, which was 66.88% higher than the original plan. The plan scores of the double subsystem upgrading plans were higher than those of the single subsystem upgrading plans, indicating that comprehensive development can promote the coordination between subsystems and improve the development level. In terms of efficiency, the environmental (P4), economic–social (P5), economic–environmental (P6), social–environmental (P7), and comprehensive development (P8) plans were all effective according to DEA in each year, with P8 having the highest efficiency score, 1.1129. Therefore, considering the effect and efficiency comprehensively, P8 was considered the optimal plan. This study provides a method for exploring the relationship between variables in the process of urban development and is of great significance for defining an optimal plan.","PeriodicalId":507784,"journal":{"name":"Systems","volume":"107 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141821752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Navigating Strategic Balance: CEO Big Data Orientation, Environmental Investment, and Technological Innovation in Chinese Manufacturing","authors":"Weiwei Wu, Xu Wang","doi":"10.3390/systems12070255","DOIUrl":"https://doi.org/10.3390/systems12070255","url":null,"abstract":"In the digital age, China’s economic development is transitioning from high speed to high quality. Through the application of digital technology, China’s manufacturing industry is moving toward more environmentally friendly and sustainable innovation, which makes it of great significance to study the effect of green investment and big data on innovation. Grounded in strategic management theory, this paper examines the interplay between CEO big data orientation, environmental investment, and their joint impact on technological innovation in manufacturing enterprises. Data are extracted from annual reports of listed Chinese manufacturing companies using computer-assisted text analysis methods and evaluated with negative binomial regression. The results indicate an inverted U-shaped relationship between CEO big data orientation and technological innovation. The results further explain that as CEO big data orientation increases, enterprises with higher levels of green investment will reach the peak of technological innovation performance earlier. According to China’s intelligent manufacturing in 2035, we have proposed some methods and suggestions for green investment and big data applications.","PeriodicalId":507784,"journal":{"name":"Systems","volume":"12 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141648246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Integrated Method for Cooperation Prediction in Complex Standard Networks","authors":"Feiteng Yi, Xuan Zhang, Jiali Zhang, Yongchang Wei","doi":"10.3390/systems12070257","DOIUrl":"https://doi.org/10.3390/systems12070257","url":null,"abstract":"Standards play significant roles in the development of technology and economics, while the cooperation between drafters directly determines the quality of standard systems. The cooperation prediction is a significant while challenging problem for seeking new cooperation chances between drafting units due to their differences in experience and professional ability. In this study, an integrated artificial intelligence method is proposed for cooperation prediction using the link prediction method, text analysis, and network modeling. Specifically, we develop a multi-layer standard network formed by standard citation relationships and cooperation relationships between drafters. Then, a set of novel metrics is designed for predicting the cooperation between drafters considering the knowledge, experience, and professional capability. These metrics are further integrated into a neural network to improve the prediction accuracy. The priorities of our method in terms of prediction accuracy are verified with realistic data of Chinese environmental health standards. The prediction results provide strong support for the selection of drafters and further optimize the structure of standard systems.","PeriodicalId":507784,"journal":{"name":"Systems","volume":"13 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141646543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Configuration Path of the New Rural Collective Economy to Promote the Common Prosperity of Farmers: Based on Qualitative Comparative Analysis Method and the Rural Cases in Zhejiang, China","authors":"Shu Yi, Mei Zhang, Zenghui Huo, Yating Mao","doi":"10.3390/systems12070256","DOIUrl":"https://doi.org/10.3390/systems12070256","url":null,"abstract":"The new rural collective economy is an important external mechanism for promoting the common prosperity of Chinese farmers. At the same time, the livelihood capital of farmers provides an essential internal support. Achieving an effective match between the two elements is a significant research issue. This article, based on the survey data from 1024 rural households in 43 villages in Zhejiang Province, China, defines the economic functions, social functions, management functions, and cultural functions of the new rural collective economy. The study employs the qualitative comparative analysis method to explore the role of the new rural collective economy in the promotion of the common prosperity of rural households. The necessity analysis shows that the single-factor condition is not the necessary condition for the common prosperity of farmers. However, the adequacy analysis reveals that the linkage and match between the new rural collective economy and the farmers’ livelihood capital can create multiple equivalent pathways for the farmers’ common prosperity. These pathways include the economic function-driven model of the new rural collective economy, the driven model of the high-level livelihoods combined economic functions, the joint model of social function and management functions, the natural capital-driven model, and the joint model of human capital and social capital. Based on these findings, this article proposes targeted governance strategies, including creating pillar industries, strengthening public management services, expanding the scope of social services, and building a coordination mechanism between the new type of rural collective economy and farmers’ livelihood capital.","PeriodicalId":507784,"journal":{"name":"Systems","volume":"38 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141649271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the Impact Mechanism of Smart City Construction on Economic Growth—An Analysis Based on the Schumpeterian Innovation Theory Framework","authors":"Ruiguang Ma, Jingwen Sun, Jiangbin Yin","doi":"10.3390/systems12070251","DOIUrl":"https://doi.org/10.3390/systems12070251","url":null,"abstract":"Smart city construction aims to promote the digital transformation of cities, support the modernization of urban governance, and stimulate urban innovation and development. In this paper, we analyze the role of smart city construction on economic growth and the impact mechanism driving this. In terms of theoretical analysis, we discuss the role of smart city construction in economic growth based on Schumpeterian innovation theory. In terms of empirical analysis, we evaluate the impact of smart city construction on economic growth with panel data of Chinese prefecture-level cities from 2011 to 2019, using time-varying difference-in-differences models and the event study method. The findings of the research indicate that the construction of smart cities has a positive effect on regional economic growth and the results can be confirmed through a series of robustness tests. Smart city construction generates mediating effects by enhancing urban innovation capability and entrepreneurship, thereby promoting urban economic growth. Furthermore, the impact of smart city construction on economic growth exhibits heterogeneous effects due to variations in the degree of marketization. In regions with a higher level of marketization, the promotional effect of smart city construction on economic growth is stronger. Consequently, it is imperative to intensify the implementation of smart city construction and persistently pursue market-oriented reforms.","PeriodicalId":507784,"journal":{"name":"Systems","volume":"146 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141834387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Empirical Study of the Quality Governance Level of China’s Civil Aircraft Industry","authors":"Tingyu Luo, Hongde Liu, Xiang Shi, Peng Meng, Jun Wang, Weiguo Fang","doi":"10.3390/systems12070247","DOIUrl":"https://doi.org/10.3390/systems12070247","url":null,"abstract":"The quality governance level of an industry is a multi-index evaluation problem that must consider multiple dimensions and factors. This study is the first to construct a comprehensive quality governance evaluation model for the civil aircraft industry of China (CAIC). The index system for the quality governance evaluation of CAIC was established using a literature review, enterprise investigation, expert interviews, and questionnaire surveys. An Analytic Hierarchy Process (AHP) was employed to determine index weights. Based on the evaluation model, data from 53 aviation manufacturing enterprises were collected, and the quality governance level of the CAIC was empirically evaluated; thus, quantitative and qualitative evaluation results were obtained. This empirical study shows that the quality governance of the CAIC is currently at a “medium to low” level. Furthermore, critical factors and bottleneck indices restricting the quality governance level of the CAIC were identified.","PeriodicalId":507784,"journal":{"name":"Systems","volume":"18 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141662474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Scientific and Technological Information Resource Utilization on Breakthrough Innovation in Enterprises: The Moderating Role of Strategic Aggressiveness","authors":"Jia-lin Hou, Xiucai Yang, Haoyang Song","doi":"10.3390/systems12070248","DOIUrl":"https://doi.org/10.3390/systems12070248","url":null,"abstract":"This study aims to explore the relationship between the utilization of scientific and technological information resources and breakthrough innovation in enterprises, examining the moderating role of strategic aggressiveness in this relationship. Based on an investigation of 438,228 patent data from 2616 Chinese enterprises, we construct a theoretical framework of “strategy–capability–performance” and conduct an empirical study using a mixed-effects model. The results indicate that both the intensity and imbalance of scientific and technological information resource utilization have significant positive effects on breakthrough innovation in enterprises. Further analysis reveals that strategic aggressiveness plays a moderating role in the relationship between the utilization of scientific and technological information resources and breakthrough innovation. Additionally, heterogeneity analysis shows differences in the impact of scientific and technological information resource utilization on breakthrough innovation across different regions and ownership types. Specifically, the imbalance of scientific and technological information resource utilization in coastal areas has a greater impact on breakthrough innovation than in non-coastal areas, and the intensity of scientific and technological information resource utilization in state-owned enterprises has a greater impact on breakthrough innovation than in non-state-owned enterprises. The findings of this study provide important insights for enterprise innovation management, helping enterprises to more effectively utilize scientific and technological information resources to drive breakthrough innovation and promote sustainable and healthy development.","PeriodicalId":507784,"journal":{"name":"Systems","volume":"32 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141659298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mitigating Financial Risks in Sustainable Public–Private Partnership Infrastructure Projects: A Quantitative Analysis","authors":"I. Akomea-Frimpong, Xiaohua Jin, R. Osei-Kyei","doi":"10.3390/systems12070239","DOIUrl":"https://doi.org/10.3390/systems12070239","url":null,"abstract":"Economic recession from the coronavirus outbreak continues to have negative rippling effects on local and international financial investments in public–private partnership (PPP) projects in Ghana, a developing country. Together with poor reports on operating cash-inflows for PPP projects such as those covering schools, hospitals, railways, fishing harbors, cocoa warehouses, recreational parks and affordable housing, there is an urgent need to develop and institutionalise sustainable and robust financial risk management measures. These measures are meant to mitigate financial losses, promote sustainability practices and prolong the longevity of infrastructure developments within PPP pacts. Therefore, this study aims to assess the mitigation measures of PPP infrastructure management in Ghana. Primary data from survey questionnaires were utilised in this study, with the data obtained from PPP practitioners and experts. Data were grouped into project type, sectors and practitioners of PPP projects to aid the analysis using tools such as the Kruskal–Wallis test, the Mann–Whitney U test and factor analysis. The results demonstrate sustainable and green finance, the innovative skills and competencies of project teams, green financial risk models and inclusive cost reduction strategies as crucial to minimising financial risks in PPP project delivery. These findings have significant implications for PPP practitioners and researchers in Ghana and similar developing countries to understand and develop measures to respond to financial risks for sustainable PPP project development and future research studies.","PeriodicalId":507784,"journal":{"name":"Systems","volume":"60 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141688332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the Impact of Inter-Industry Innovation Networks on Collaborative Innovation Performance: A Case Study of Strategic Emerging Industries","authors":"Jianbang Shi, Zhenhong Xiao","doi":"10.3390/systems12060211","DOIUrl":"https://doi.org/10.3390/systems12060211","url":null,"abstract":"As global economic competition intensifies, collaborative innovation in strategic emerging industries has become a key factor in promoting economic growth and business development, attracting widespread attention. To delve into the mechanisms of collaborative innovation among China’s strategic emerging industries, this study employs a social network analysis. It investigates the characteristics of these industries by analyzing 8,775,496 invention patents, exploring the impact of inter-industry innovation networks on collaborative innovation. Furthermore, this study incorporates industry knowledge acquisition as a mediating variable and the network density within individual industries as a moderating variable, to more comprehensively explain this impact mechanism. We find that relational and structural embeddings within inter-industry innovation networks significantly positively affect collaborative innovation performance, highlighting the importance of partnerships and the critical role of network configurations. Additionally, the breadth and depth of knowledge acquisition mediate the relationship between relational embedding in inter-industry innovation networks and collaborative innovation performance, emphasizing the pivotal role of knowledge acquisition in fostering collaborative innovation. Lastly, the network density within individual industries positively moderates the relationships between both relational and structural embedding in inter-industry innovation networks and collaborative innovation performance, revealing specific impacts of both internal and external industry innovation network characteristics on collaborative innovation. These findings not only provide practical guidance for collaborative innovation across industries but also offer new insights and implications for policy-making and academic research. In future industrial development, special emphasis should be placed on establishing and maintaining partnerships, optimizing inter-industry innovation networks, and enhancing the breadth and depth of knowledge acquisition to foster sustainable development of collaborative innovation. This is crucial for enhancing corporate competitiveness, creating more job opportunities, and driving innovative economic development.","PeriodicalId":507784,"journal":{"name":"Systems","volume":"12 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141343462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}