Innovative Path Research Articles

Legitimacy and Limits of Administrative Power in the Big Data Era

The advent of the big data era has profoundly transformed the exercise of administrative power, enhancing the efficiency and accuracy of administrative decisions while simultaneously posing challenges to legitimacy and the potential for abuse of power. This study examines the impact of big data technology on administrative power, systematically analyzing the foundations and limits of administrative power's legitimacy. It explores how to achieve a balance between legitimacy and limits of administrative power in the context of big data. By examining the intersection of traditional theories of power legitimacy and big data technology, the study proposes strategies for enhancing transparency in administrative decisions, strengthening public participation, and promoting inter-departmental cooperation. It also looks forward to innovative paths for exercising administrative power in the future. The results of this study are significant for both administrative management practices and theoretical development in the big data era.

Path planning of mobile robot based on improved PRM and APF

In the field of mobile robot path planning, the artificial potential field (APF) method has been widely researched and applied due to its intuitiveness and efficiency. However, the APF algorithm often encounters challenges such as local minima and unreachable goals in complex environments. To address these issues, this paper proposes innovative path planning algorithm that integrates the advantages of the probabilistic roadmaps method (PRM), by introducing Sobol sampling and elliptical constraints to enhance PRM. The improved PRM not only reduces redundant nodes but also enhances the quality of sampling points. Furthermore, this paper uses the path nodes from the improved PRM as virtual target points for the APF algorithm, and effectively solves the inherent flaws of the APF algorithm through the segmented processing of the attractive force function and the introduction of a relative distance factor in the repulsive force function. Simulation results show that the algorithm reduces planning time, node count, and path length, demonstrate significant improvements in efficiency and performance. In addition, experiments with omnidirectional mobile robots further confirm the effectiveness and reliability of the algorithm in practical applications.

Efficient micro-mobility path planning without using high-definition maps

Efficient path planning is crucial for the safe autonomous operation of micro-mobility vehicles in unknown environments. When planning paths for micro-mobility, factors, such as the changes in the user's intended destination and user comfort, must be considered. Moreover, for driving in unknown areas, the path planner should not rely on predetermined detailed information like High-Definition maps (HD maps). In this paper, we propose an innovative path planning algorithm for automated driving that solely uses basic perception data from RGB camera, IMU and GPS, thereby eliminating the dependency on HD maps. We initially convert perception data into an occupancy grid map. Subsequently, a global path planner, based on a modified A* algorithm, computes an efficient trajectory, particularly adept to navigation in unknown environments and to scenarios where goal position moves. Additionally, we developed a local planner that optimize multi-clothoid curves using designed constraints to predict the best trajectory. Our experiments, conducted in both simulated and real-world environments, validate the effectiveness of our approach for micro-mobility path planning using only perception data.

Job destruction or job creation?: Evidence from carbon emission trading policies

Based on the panel data of 285 cities in China from 2007 to 2019, this paper constructs a theoretical framework to analyze the employment effect of carbon emission trading policy, and quantitatively evaluates the effectiveness, decomposition effect and influence mechanism of carbon emission trading policy on employment based on PSM-DID method. The study shows that the carbon emissions trading policy has a positive impact on the level of urban employment while producing significant environmental governance effects, and that its positive impact on employment in the pilot cities stems from the negative effect of reducing employment destruction rather than from the positive effect of increasing the job-creating effect. Carbon emissions trading policy promotes employment in the pilot cities through structural transformation effects, specifically through the three paths of green technology innovation, energy structure optimization and industrial structure upgrading. At the same time, the impact of the policy on employment varies significantly across cities of different locations, sizes and resource endowments. The study proposes that the construction of the national carbon market should be accelerated, a market-oriented green technology innovation system should be constructed, the optimization of the energy structure and the upgrading of the industrial structure should be promoted, and training in employment skills should be strengthened. The theoretical analysis of this study provides a theoretical basis for the micro-mechanism of carbon emissions trading policy, and the empirical results provide practical reference for the change of employment structure and the high-quality development of employment.

An Innovative Path Planning Algorithm for Complex Obstacle Environments with Adaptive Obstacle Density Adjustment: AODA-PF-RRT*

To address the limitations of low node utilization and inadequate adaptability in complex environments encountered by Rapidly-exploring Random Tree (RRT) algorithms during the expansion phase, this study presents an enhanced path planning algorithm—AODA-PF-RRT* (Adaptive Obstacle Density Adjustment-PF-RRT*). The proposed algorithm implements a random extension strategy for nodes that fail collision detection, thereby improving node efficiency. Furthermore, it dynamically partitions the area surrounding sampling points and calculates local obstacle density in real time. By leveraging this density information, the algorithm flexibly adjusts both the number of expansion points and the dichotomy threshold, significantly enhancing its responsiveness to environmental changes. We rigorously demonstrate the algorithm’s probabilistic completeness and asymptotic optimality. Simulation and benchmarking results demonstrate that the AODA-PF-RRT* algorithm not only generates smooth and high-quality paths compared to existing algorithms but also maintains low computational costs in complex environments, showcasing exceptional stability and robustness.

Exploring the Innovative Path of Mechanical Design, Manufacturing and Automation under the Concept of Sustainable Development

With the global deep understanding and practice of the concept of sustainable development, the field of mechanical design, manufacturing and automation is also facing the challenge of innovation and change. This paper aims to explore under the concept of sustainable development, mechanical design and manufacturing innovation path in the field of automation, including green design, intelligent upgrade, digital transformation, network collaboration, and modularity and standardization, etc., and put forward the corresponding innovation safeguard measures, in order to provide reference for the sustainable development of the field.

Research on the Practical Path of Green Finance in the Low-carbon Transformation of Smart Cities: A Case Study of the Transformation and Development of European Smart Cities

This study aims to explore the practical path of green finance in promoting low-carbon transformation of smart cities by taking the transformation of smart cities in Europe as a case study. The successful experience of smart city transformation in Europe is deeply studied through case analysis, and the application of green finance and its impact mechanism on urban transformation are discussed. The study found that green finance plays an important role in the transformation of smart cities in Europe, which promotes the transformation of cities to lowcarbon and smart direction through the practice path of policy formulation, technological innovation and sustainable development planning. This study provides a reference for the low-carbon transformation of smart cities in other regions, and has certain theoretical and practical significance for promoting sustainable urban development.

Green Supply Chain Technology Innovation and Enterprise Synergy in the Context of Sustainable Development: Challenges and Strategie

This study explores the synergistic development between technological innovation and enterprises in green logistics supply chains from the sustainable development perspective. The study first introduces the latest progress of China's environmental policies and technological innovation and analyses the importance and necessity of green logistics supply chain management. Subsequently, through case studies and theoretical research, this paper discusses the policies and regulations of green supply chain management, collaborative management among enterprises, and the development path of technological innovation. It further analyses the contents of policies and regulations, enterprise collaboration management, and technological innovation in green logistics supply chain management. It proposes strategies and suggestions to solve problems by combining cases and theories. Finally, this study summarises the development status of green logistics supply chain management. It looks forward to future development trends, emphasizing that more enterprises should strengthen cooperation to jointly promote green logistics supply chains, environmental protection, and sustainable economic and social development.

Fostering Sustainable Development Through Social Innovation: The Role of Cultural Values in Entrepreneurial Intentions

Context. The study analyses how cultural values on the entrepreneurial intentions of university students in public and private institutions in Jalisco, Mexico, may lead a path to social innovation, based on the Theory of Planned Behavior. Problem. Despite the growing emphasis on entrepreneurship education, the impact of cultural values on students' entrepreneurial intentions remains unclear. This research explores how autonomy, hierarchy, and egalitarianism shape students' aspirations. Purpose. The research seeks to examine the multidisciplinary nature of cultural values and their relationship with entrepreneurial intentions. It specifically addresses SDGs 4, 8 and 9. Methodology. A quantitative survey was distributed to 1,438 university students in Jalisco, Mexico, during 2023-2024. The data were examined through exploratory factor analysis and linear regression to identify the relationships between cultural values and entrepreneurial intentions. Reliability was assessed using Cronbach's alpha, while validity was established through factor loadings. Theoretical and Practical Findings. Cultural values like integration and mastery positively influence entrepreneurial intentions, while egalitarianism showed a negative impact. These results contribute to the understanding of how cultural contexts shape entrepreneurial behavior, with practical implications for fostering entrepreneurship in educational settings, aligned with the SDGs; leading students´ behavior to a social innovation path. Originality based on a multidisciplinary approach that promotes innovation for sustainable development. This research integrates multidisciplinary perspectives to promote social innovation and sustainable development, highlighting the unique role of cultural values in shaping entrepreneurial intentions. Conclusions and limitations. The study concludes that while cultural values significantly impact entrepreneurial intentions, though the influence varies by dimension. However, as the research focuses on a single region, future studies should explore other cultural contexts to generalize findings.

Eager for an innovative path: solving the puzzle of medical dispute resolution in China combined with bibliometric analysis.

Eager for an innovative path: solving the puzzle of medical dispute resolution in China combined with bibliometric analysis.

Core-Shell Composite Nanofibers with High Temperature Resistance, Hydrophobicity and Breathability for Efficient Daytime Passive Radiative Cooling.

Radiative cooling technology, which is renowned for its ability to dissipate heat without energy consumption, has garnered immense interest. However, achieving high performance, multifunctionality, and smart integration while addressing challenges such as film thickness and enhancing anisotropic light reflection remains challenging. In this study, a core-shell composite nanofiber, PVDF@PEI, is introduced and designed primarily from a symmetry-breaking perspective to develop highly efficient radiative cooling materials. Using a combination of solvent-induced phase separation (EIPS) inverse spinning and (aggregation) self-assembly methods (EISA or EIAA) and coaxial electrostatic spinning (ES), superconformal surface anisotropic porous nanofiber membranes are fabricated. These membranes exhibit exceptional thermal stability (up to 210°C), high hydrophobicity (contact angle of 126°), robust UV protection (exceeding 99%), a fluorescence multiplication effect (with a 0.6% increase in fluorescence quantum efficiency), and good breathability. These properties enable the material to excel in a wide range of application scenarios. Moreover, this material achieved a remarkable daytime cooling temperature of 8°C. The development of this fiber membrane offers significant advancements in the field of wearables and the multifunctionality of materials, paving new paths for future research and innovation.

FORMATION OF BUSINESS SUSTAINABILITY OF THE TRANSPORT INDUSTRY IN THE CONTEXT OF INNOVATIVE TRANSFORMATIONS

The paper describes the peculiarities of the formation of business sustainability in the transport industry, and characterizes the main factors affecting it. It was determined that for the business sustainability of the transport industry, innovative processes and transformations play a significant role, which encourage enterprises to be client-oriented and provide quality service to consumers, the ability to adapt to changes in the economic situation and new social challenges. A feature of the modern development of the transport industry is the transition to an innovative path of development, which will allow transport enterprises to occupy more priority positions compared to their competitors. The impact of innovative transformations on ensuring business sustainability of the transport industry is characterized by the use of innovations in the implementation of commercial activities, ensuring the quality of services (products), which will make it competitive. The paper offers a methodical approach to choosing a strategy for managing the business sustainability of the transport industry in the conditions of innovative transformations, which allows choosing an appropriate development strategy depending on the indicators of economic activity (IEA), the level of business sustainability (IBS), risk indicators (IBR).

Research on the Innovation Path of Enterprise Management Mode in the Era of Big Data

With the continuous development of the market economy and the advent of the big data era, traditional management models cannot meet the requirements for enterprise development, which poses certain obstacles to business growth. Therefore, enterprises must continuously leverage the commercial value embedded in the big data era to innovate their management models. In practical terms, internal managers and relevant personnel can innovate based on traditional management models, fully utilizing the advantages of big data to optimize and innovate enterprise management models. By utilizing information technology for extensive data analysis and integration, businesses can be guided in the right direction, provided with reasonable operational plans, and ensured safe decision-making, thereby achieving healthy and sustainable development. This approach enables enterprise management to keep pace with the progress of the times and enhances the role of management in business operations.

THE IMPACT OF TECHNOLOGICAL MODERNIZATION ON THE ECONOMIC DEVELOPMENT OF KAZAKHSTAN

In modern conditions, the transition of the economy of the Republic of Kazakhstan to an innovative path of development is possible only on the basis of changes in the technological process of all sectors of the real sector of the economy. The basis for the technological modernization of the economy is innovation, which has reached a new level in the process of evolution. The main purpose of the study is the possibility of assessing technical modernization as a factor influencing the economic development of Kazakhstan. Important for assessing the development of the country's economy are the parameters, which include GDP, foreign direct investment, added value of industry, and high-tech exports. The study examines indicators assessing technological modernization and economic development in various countries. Based on data from the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan, as well as website data theglobaleconomy.com The equations are based on correlation and regression analysis. The generated equation describes the level of GDP based on 48 countries of the world where the Republic of Kazakhstan is present, but at the same time, all the presented data are used for 2023. The added value of industry, which is one of the significant components of GDP, is used to form the development of the basis of industrialization. Taking into account the technological modernization of Kazakhstan, it should mainly capture industrialization, but with current trends, it should also take into account the modern digital economy. In conclusion, suggestions are given on the existing problems of technological modernization.

Маркетинговый аудит в управлении инновационной деятельностью компании: методология и метрики

In today's complex digital business world, almost every company understands the importance of introducing innovations in the process of operation. At the same time, the issues of diagnosing and assessing the results of the chosen innovative path using a marketing audit remain relevant for the reason that there is simply no ready-made template or algorithm for conducting a marketing audit of a company. The problem is the ambiguous definition of a set of indicators for the marketing audit procedure. The purpose of the work was to determine the importance of conducting a marketing audit in the process of managing an innovative company using the algorithm and metrics of a marketing audit. The methodological basis of the study was a review of scientific works of Russian and foreign authors on the issues of conducting marketing audits and an analysis of the operating features of companies involved in the development and implementation of innovations. The specific features of managing an innovative company were identified, and the methodological and methodological problems of conducting a marketing audit of an innovative company were identified. The results of the study showed that the approaches existing in foreign and domestic literature that describe the process and mechanics of conducting a marketing audit are fragmentary. The work proposed its own algorithm for conducting a marketing audit, and identified a set of additional quantitative indicators (metrics) for a more complete and comprehensive procedure for conducting a marketing audit for managing the innovative activities of a company operating in conditions of uncertainty, risks and competition. The article substantiated the importance and relevance of introducing a marketing audit algorithm. The results of the study can be used by innovative companies when conducting a marketing audit procedure.

Research on the Innovative Path of Integrating Qilu Costume Culture into Aesthetic Education in Elementary Schools

Inheriting and promoting the excellent traditional Chinese culture should begin with the youth, as elementary school aesthetic education plays a crucial role in this process of cultural dissemination. At present, elementary school aesthetic education mainly focuses on traditional fields such as art, music, dance, calligraphy, etc., and there is still much room for innovation in communication carriers and paths. Based on this status quo, combining professional and regional advantages, this article proposes to take Qilu characteristic costume culture as a carrier to integrate the innovation of excellent traditional Chinese culture into elementary school aesthetic education. It aims to cultivate humanistic literacy and a sense of belonging in school-age children and establish cultural confidence.

Study on the Innovation Path of Business Administration and Human Resource Management in Digital Transformation

The wave of digitalization is sweeping across the world, reshaping the business environment and management mode of enterprises. Business administration and human resource management, as the core fields of enterprise operation, face unprecedented challenges and opportunities. This study focuses on the innovation paths of these two fields in the context of digital transformation, aiming to explore a new paradigm of management practice and provide theoretical guidance and practical reference for enterprises to maintain their competitiveness in the digital era.

Analyzing the configuration of the National Innovation System for Innovation Capability: evidence from Global Innovation Index reports

National innovation capability (NIC) is an important manifestation of economic development quality and international competitiveness. Previous studies focus mainly on the static impact of factors in the national innovation system on NIC in a given year. Research is still lacking on whether these factors have continuing, stable impacts on NIC in different economies. To fill this literature gap, this study uses fuzzy set qualitative comparative analysis (fsQCA) to conduct cross-economy and cross-year comparisons and discusses how the five elements of the NIS jointly affected the NIC of different economies from 2011 to 2022. The results indicate that the necessity consistency of infrastructure for NIC shows a temporal trend. There are four paths to generating high NIC in high-income economies, but only two such paths for upper middle-income economies. The path combining human capital and research, market sophistication, and business sophistication can drive both types of economies to generate high NIC. The research results have improved the transparency of innovation paths and provided a reference for different economies to achieve sustainable development.

П ЕРЕХОД К ИННОВАЦИОННОМУ РАЗВИТИЮ – НЕОТЛОЖНАЯ ЗАДАЧА РОССИИ

The report discusses the issues of transition of the Russian economy to an innovative path of development. A sum- mary assessment of the place of the Russian scientific complex among the countries of the world is presented, an analysis of the level of education in Russia in comparison with developed foreign countries is conducted, and Russia’s share in the world in the production of high-tech goods is noted. Particular attention is paid to the development of the “knowledge economy” and the need to create large innovative world-class companies.

The Application of Blended Online and Offline Teaching Methods in College English Public Courses

In the multimedia age, college English is gradually adopting a hybrid teaching method between online and offline. The hybrid teaching method has the advantages of face-to-face teaching and network teaching. Internet technology provides technical support for the combination of traditional classroom and virtual learning environments, provides personalized learning experiences for students, improves the teaching quality of teachers and optimizes the learning effect of students [1]. The online-to-offline hybrid teaching method ADAPTS to the development trend of education and conforms to the basic national conditions of China. Because of this, this paper will analyze the challenges, value and significance of blended teaching method in college English public courses, and on this basis, focus on analyzing the innovative path of adopting blended teaching method in college English public courses to provide some inspiration and suggestions for college teachers to carry out blended English teaching.