Transformation Path Research Articles

Targeted Topological Routine Regulation of RuNiOx Precursors for Excellent Alkaline Overall Water Splitting

Designing efficient and stable electrocatalysts for the hydrogen and oxygen evolution reactions (HER and OER) is crucial for green hydrogen production via the water‐splitting system. The bifunctional electrocatalyst offers a promising strategy due to the simplified preparation process and reduced expenses. However, the single‐component bifunctional catalysts often struggle to match the redox potential of water and to achieve proper adsorption/desorption of Gibbs free energy for both H and O intermediates simultaneously. Herein, through precisely controlling the topological transformation path of the RuNiOx precursor, we successfully prepared high‐performance RuNi/Ni and Ru/NiO heterostructure electrocatalysts for the HER and OER, respectively. The energy level matching between the fabricated electrocatalyst and water oxidation/reduction potential confirms the feasibility of HER and OER. The synergistic effect between the active sites ensures rapid, intermediate adsorption/desorption kinetics. As a result, the assembled alkaline overall water splitting setup achieves a current density of 1 A cm‐2 at 2 V and maintains stable operation at 100 mA cm‐2 for 100 hours.

Digital transformation, environmental regulation and enterprises' ESG performance: Evidence from China

AbstractCompany's digital transformation and Environmental, social, and governance (ESG) performance are crucial for their development, but there is little literature that considers whether and how digital transformation improve ESG performance, the impact of environmental regulations is also easily overlooked, we attempt to fill this gap. Based on data related to Chinese listed enterprises from 2011 to 2020, we focus on the internal digital transformation of enterprises, analyze and empirically test the direct and mediating influence of digital transformation on enterprises' ESG performance, as well as the moderating effect of external environmental regulations. The results show that digital transformation improves ESG performance. Heterogeneity analysis found that digital transformation had different impacts on different dimensions of enterprise ESG performance. Further analysis indicates that enterprises' green innovation and labor demand play a mediating role in the relationship between enterprises' digital transformation and ESG performance. Regional formal environmental regulation and informal environmental regulation moderates the path of firms' digital transformation promoting green innovation level to enhance ESG performance. This paper provides micro evidence in China for exploring the improvement of enterprises' ESG performance and provides relevant ideas for understanding the effect of digital transformation.

Application Research of AIGC Enabling Intangible Cultural Heritage (ICH) Music Creation in Wisdom Teaching

With the rapid development of society, people's understanding of traditional culture and music and art is becoming more and more diversified, the depth of the growing demand for cultural experience, the current development of science and technology, the integration of culture and tourism industry, the status quo of intangible cultural heritage (ICH) and the policy background and other factors interacting with each other, not only for the integration of culture and tourism to provide new opportunities, but also for the inheritance of tourism and ICH and the development of a new challenge, more AIGC technology in the application of AIGC technology in the field of music creation and culture and tourism provides a broad market space. Based on the current situation of music creation and ICH culture, this paper will deeply analyses the significance and effect of AIGC technology empowering ICH music creation in wisdom teaching, and provide a new application path for the creative transformation and innovative development of ICH culture.

Systematic Exploration of the Green Transformation Path of Liaoning's Industrial Structure Driven by Cross-Border E-Commerce

Driven by globalization and digitalization, cross-border e-commerce has become an important force to promote the optimization and upgrading of economic structure. Taking Liaoning as an example, this paper explores how to promote the transformation of industrial structure to a green and sustainable direction through the development of cross-border e-commerce. This paper analyzes the current situation of Liaoning's industrial structure, points out the existing problems and challenges, and puts forward a green transformation strategy based on cross-border e-commerce.

Analysis of the Digital Transformation Path of Chinese E-commerce Companies

Digital technology has revolutionized China’s e-commerce sector, changing company operations and client relationships. This article analyzes the impact of digital transformation on online purchasing patterns. This article concentrated on the important of cloud computing, AI, and big data have become essential to online retail tactics. Digitalization is fueling economic development and innovation in China as its digital economy grows and impacts GDP. Digital technologies enable e-commerce and other industrial sectors to interact easily, improving operational efficiency and market reach. Moving from isolated firm models to connected platforms is a sign of a more responsive and integrated economy. This integration fosters a value model of co-creation in which stakeholders (including companies) collaborate to develop product and service offerings, improving customer experience and operational productivity. The route to digital maturity is not without challenges. E-commerce companies struggle with inefficient logistics, costly digital transformation, and a dearth of competent digital workers, as this study shows. Companies must make dramatic organizational and technological adjustments to overcome these constraints and maximize digital technologies. The analysis concludes that China’s e-commerce market will depend on enterprises’ digital adoption. E-commerce enterprises must embrace ongoing learning and development and remove digital integration barriers to compete in today’s dynamic online industry. The study illuminates digital transformation and how it will impact e-commerce.

Scenario-Based Analysis of Electrification Effects on Value Creation and Employment Structures for the Automotive Industry in the Federal State of Baden-Wuerttemberg, Germany

The transformation path to electric mobility will have fundamental impacts on the existing value chain and employment structures in the automotive industry. The purpose of this paper is to derive and examine these effects based on two different electric mobility market scenarios for the European (EU27) passenger car as well as truck market 2040 with special focus on the highly export-oriented industrial automotive cluster in Baden-Wuerttemberg. To achieve this, both a moderate and a progressive market scenario were simulated using the scientifically validated DLR VECTOR21 vehicle technology scenario model, based on two different parameter sets derived from actual and possible framework conditions on the European car and truck markets. Based on a detailed analysis of the industrial branch, value creation, and employee structure in Baden-Wuerttemberg and its automotive cluster, the effects resulting from the transformation to electric mobility will be displayed. With detailed Fade-In and Fade-Out analysis, the shifts from internal combustion engine components to electrified components will be derived and illustrated for each employee segment in the automotive cluster in Baden-Wuerttemberg, which leads to completely new and original results at this level of detail. Furthermore, the detailed display of the automotive cluster in this study allows for regionalized statements on employment effects, considering, for the first time, not only the car but also the truck segment. The analysis shows that battery electric vehicles will achieve a share of 34% or 57% for new registrations on the German car market in 2030, depending on the scenario framework conditions. The resulting employment effects for the entire automotive cluster in Baden-Wuerttemberg reach −37,000 (−8%) or −66,000 (−14%) by 2030 with further negative development until 2040 (−155,000, −30%) for the respective scenarios. Employment segments, in particular powertrain-dependent production employees, are at risk, with a potential decline of up to −60%. R&D employees could be also be significantly, affected with a reduction in workforce of about −50%.

A case study on renewal strategies for industrial communities in urban fringe area

AbstractIn China, the decline of industrial communities suffering from both the aging of physical space and the breakdown of social relations. How to make marginalized and closed industrial communities actively integrate into the development of urban renewal has gradually become an issue of concern.The paper takes the “Jingzhou New Town Industrial Park Urban Design Project” as an opportunity to explore a transformation path suitable for China's national conditions through the study of the history, culture, current problems, and renewal strategies of this heritage-type industrial community.The study finally proposes three renewal strategies for industrial communities, which provide samples with certain reference value for the renewal of old industrial communities.

Integrating priorities at the intersection of cancer and neuroscience.

Cancer neuroscience is a rapidly growing multidisciplinary field that conceptualizes tumors as tissues fully integrated into the nervous system. Recognizing the complexity and challenges in this field is of fundamental importance to achieving the goal of translational impact for cancer patients. Our commentary highlights key scientific priorities, optimal training settings, and roadblocks to translating scientific findings to the clinic in this emerging field, aiming to formulate a transformative and cohesive path forward.

Strengthening SMEs competitiveness and performance via industrial internet: Technological, organizational, and environmental pathways

The industrial internet acts as a crucial accelerator for driving enterprise digital transformation and plays a vital role in enhancing performance and competitiveness. However, our understanding of how small and medium-sized enterprises (SMEs) leverage the industrial internet to improve their performance and competitiveness remains limited. This study developed a “Digital transformation paths chain” framework to shed light on the key factors that drive SMEs to adopt the industrial internet and its influence on performance and competitiveness. Data from 314 Chinese SMEs were collected and analyzed using fsQCA and PLS-SEM to examine this model. Our findings highlight the positive impact of industrial internet adoption on enterprise performance and competitive advantage. The results highlight that technology, organization, and environment (TOE) drive industrial internet adoption. Industrial internet adoption positively impacts enterprise performance and competitive advantage through integration, application, and drive. This study offers valuable insights for businesses, policymakers, and other stakeholders engaged in digital transformation initiatives through the industrial internet.

Tutoring Innovation of Educational Informatization Transformation Path Based on Intelligent CAD and Trusted Neural Network

Tutoring Innovation of Educational Informatization Transformation Path Based on Intelligent CAD and Trusted Neural Network

Sociotechnical transitions in the system for providing beef to human food: Scenarios for cultured meat

The objective of this work was to investigate the possible scenarios of sociotechnical transitions for cultured meat, considering a time horizon of ten years. We employ methodological procedures from the La Prospective School of scenario planning. Through the structural analysis, we identified ten key variables concerning the sociotechnical system of cultured meat, oriented according to the five sociotechnical regimes: technological, scientific, political, socio-cultural, and user and market. Subsequently, based on each key variable, we propose possible key events. The results present plausible scenarios for the next ten years (2022–2032). Using the key events identified based on theoretical contributions of sociotechnical transitions, we propose dynamics and transition paths for the sociotechnical system of supplying cultured meat. Thus, elements inherent to the exogenous landscape, the characteristics of the sociotechnical regimes, and the peculiarities of the aforementioned innovation developed at the technological niche level are highlighted. The findings do not neglect any possibility or transition path, but point to a greater inclination towards the path of transformation and reconfiguration to the detriment of de-alignment and realignment, and technological replacement. Thus, our contributions provide insights and reflections on the plausible paths of these modifications.

Research on Informatization and Intelligent Transformation of Financial Management in Financial Enterprises

This paper focuses on the financial management information and intelligent transformation of financial enterprises. Based on the analysis of the characteristics and challenges of financial management in financial enterprises, this paper expounds the application status of information technology and intelligent technology in financial management, and analyzes the driving factors of the transformation of information technology and intelligent financial management. At the same time, this paper focuses on the application of big data, artificial intelligence, blockchain and other key technologies in financial data processing, decision support, risk control, data security and other aspects. Finally, it puts forward the implementation path of financial management informatization and intelligent transformation, including top-level design, process optimization, talent training and so on.

The Transformation Path of Industrial Parks under the Goals of Carbon Peak and Neutrality in China

The Transformation Path of Industrial Parks under the Goals of Carbon Peak and Neutrality in China

Supporting Differentiated Paths for Sustainable Agriculture and Food System Transformation in Ethiopia: Exploring Agroecology perspective

Supporting Differentiated Paths for Sustainable Agriculture and Food System Transformation in Ethiopia: Exploring Agroecology perspective

Maintenance plan adaptation based on health ratings of servitised machines through a fleet-wide machine clustering method

The increased requests for value-added services to integrate product performance push manufacturing companies to extend their service offerings to meet customers’ needs. In this context, maintenance planning can leverage new possibilities offered by digital technologies for data analytics services. The present research then proposes an approach for maintenance plan adaptation based on a data-driven method applied over a fleet of machines installed in different production sites. The method relies on collaborative prognostics to develop a clustering of machines’ behaviour aimed at providing the health ratings of the machines and the subsequent maintenance plan adaptation due to the deviation from the expected behaviour. The method is adopted from the perspective of an Original Equipment Manufacturer, as part of a transformation path towards an advanced provision of digitalization for maintenance service offerings. The method is validated in the context of two lines at selected customer’s premises. This demonstrates the viability and effectiveness of adapting the maintenance plans thanks to the data analytics in light of the current behaviour of the machines within the lines.

Employee power needs, leadership, and employee organizational commitment: A case study of high‐tech enterprises

AbstractIndustry 4.0 brings opportunities and challenges to organizations. Studies have shown that employees with higher power needs have a higher level of organizational commitment, which is also affected by transactional leadership. However, existing studies lack effective conversion pathways and do not adapt to the new environment of Industry 4.0. From a systematic perspective, this paper covers eight high‐tech fields, such as electronic information, biotechnology, and medicine, and establishes a comprehensive model. We use multi‐level regression analysis and the bootstrap method to explore the transformation path of employee power needs to organizational commitment. The results show that in high‐tech enterprises, employee power needs positively affect out‐of‐role behaviours, and there is also a positive correlation between out‐of‐role behaviour and organizational commitment. In addition, employee out‐of‐role behaviours play mediating roles. Transactional leadership moderates the relationship between out‐of‐role behaviours and organizational commitment. This study explains (1) the driving force of employee power needs on out‐of‐role behaviours and (2) the complexity of changing organizational commitments, and expands the adjustment path of leadership. This study considers the enterprise as a system that helps various departments carry out collaborative actions and produce a synergistic effect, thereby improving the organizational commitment of employees and the overall effectiveness of the enterprise. It is of great significance to the management optimization and leader motivation of high‐tech enterprises, especially Industry 4.0 strategic emerging enterprises. In the future, we can also develop a system for leadership and employee power needs to help organizations analyse organizational commitment to improve organizational efficiency.

Application Research of Industrial Internet Networked Operation Control Platform Based on RFID and Blockchain Traceability

With the development of Industry 4.0, the demand for data accuracy, transparency, and traceability in the manufacturing industry is increasing day by day. This paper proposes an industrial networking operation management and control platform based on radio frequency identification (RFID) and blockchain technology. Through the deep integration with the national industrial Internet identification analysis system, the platform has realized the full life cycle traceability of products from raw materials to finished products, ensuring the data tamper proof and cross validation of multi-dimensional data. The research results show that after adopting this platform, the accuracy of data collection in manufacturing enterprises is significantly improved, production efficiency is optimized, and operating costs are significantly reduced. In addition, the introduction of blockchain technology effectively prevents data tampering, enhances system transparency and security. This paper provides a new technological path for the digital transformation of the manufacturing industry, and verifies the application potential of RFID and blockchain technology in the industrial Internet environment.

The Review of Gamification Learning Methods on PE Teaching in Primary School through Adaptive Perspective

The purpose of this study is to explore the value implication and practice path of gamification transformation of primary school physical education under the perspective of adaptive education. From the perspective of adaptive education, the gamified transformation of primary school physical education has many values, such as improving learning motivation, enhancing learning interest, promoting subject exchange, cultivating will quality, promoting independent learning, benefiting physical and mental health and promoting personality development. However, in reality, there are also problems such as lack of differences in teaching content, lack of innovation in teaching methods, lack of integration ability of disciplines, lack of effective evaluation system, lack of teaching resources, high academic pressure, parents' cognitive bias and social cognitive bias. Therefore, we can promote the gamified transformation of primary school physical education by changing teachers' ideas, enhancing teacher training, enriching curriculum design, improving evaluation mechanism, increasing resource input, reducing students' burden, guiding parents' cognition and cultivating social atmosphere, and so on, so as to promote the all-round development of students.

The Dilemma and Transformation of Teacher Roles in the Context of ChatGPT

Artificial intelligence such as ChatGPT has had a huge impact on the development of education. With the development and application of ChatGPT in the field of education, the issue of teacher roles being challenged has received widespread attention. This article discusses the development issues and transformation paths in the context of ChatGPT. This article believes that the role of teachers faces some challenges under the impact of artificial intelligence and urgently needs to adapt and transform. These issues include the weakening of teacher authority, alienation of teacher-student relationships, insufficient self-awareness of teacher roles, and a gap between knowledge and practice in teacher teaching practice. Based on this, this article analyzes that teachers need to transform from the original single teaching mode to guides, learning partners, "pilots" collaborative educators, integrators of teaching resources, and cultivators of knowledge construction for student learning. Therefore, to help teachers achieve better identity conversion, this article proposes the following suggestions. Teachers should fully understand their educational attributes, actively explore scientific educational methods, enhance their educational technology capabilities, integrate new-era educational resources, and help students become the leaders of learning.

Research on Business Model Transformation of Traditional Retail Enterprises under the Background of Digital Economy

With the rapid development of Internet technology, the global economy is gradually entering the digital era, and traditional industries are facing unprecedented challenges and opportunities. The retail industry, as an important part of it, is experiencing the change from traditional business a model to digital transformation to adapt to the changing market environment and consumer demand. This paper discusses the path of business model transformation of traditional retail enterprises in the context of digital economy, emphasizes the necessity and urgency of business model transformation, and points out that the only way for enterprises to maintain competitiveness and achieve sustainable development in the fierce market competition is through digital transformation. The path of transformation practice includes the dimensions of online-offline integration, digital supply chain management, data-driven precision marketing, and innovative payment and settlement methods. By combining specific cases in the Philippine market, practical transformation strategies and theoretical guidance are provided for traditional retail enterprises to help them realize a new round of growth in the era of digital economy.