Innovation In Industry Research Articles

Excavation compensation and bolt support for a deep mine drift

To overcome large deformation of deep phosphate rock roadways and pillar damage, a new type of constant-resistance large-deformation negative Poisson's ratio (NPR) bolt that can withstand a high pre-stress of at least 130 KN was developed. In the conducted tests, the amount of deformation was 200–2000 mm, the breaking force reached 350 KN, and a high constant-resistance pre-stress was maintained during the deformation process. A stress compensation theory of phosphate rock excavation based on NPR bolts is proposed together with a balance system for bolt compensation of the time-space effect and high NPR pre-stress. Traditional split-set rock bolts are unable to maintain the stability of roadway roofs and pillars. To verify the support effect of the proposed bolt, field tests were conducted using both the proposed NPR bolts and split-set rock bolts as support systems on the same mining face. In addition, the stress compensation mechanism of roadway mining was simulated using the particle flow code in three dimensions (PFC3D)-fast Lagrangian analysis of continua (FLAC3D) particle-flow coupling numerical model. On-site monitoring and numerical simulations showed that the NPR excavation compensation support scheme effectively improves the stress state of the bolts and reduces the deformation of the surrounding rock. Compared to the original support scheme, the final deformation of the surrounding rock was reduced by approximately 70%. These results significantly contribute to domestic and foreign research on phosphate-rock NPR compensation support technology, theoretical systems, and engineering practices, and further promote technological innovation in the phosphate rock mining industry.

Business Model Innovation in the Construction Industry: Emerging Business Model Archetypes from Bathpod Modularization

Business Model Innovation in the Construction Industry: Emerging Business Model Archetypes from Bathpod Modularization

The Influence of Servicescape and Brand Image on Customer Loyalty Mediated by Customer Satisfaction

Taiwan's design industry has established design characteristics and styles during the short period of more than 30 years of development, making Taiwan's designed products rank on the world stage. Based on the current design development direction, the analysis of the existing design organization, and the input and implementation of design by Taiwan enterprises, this research discusses the factors for the successful development of Taiwan's design industry by means of historical analysis and case comparison. The study found that in the timeline of Taiwan's design development, the focus is on industrial management innovation, design diagnosis, product development, etc., and it is supplemented by trying to increase the competitiveness of products and promoting international design. At the same time, it is actively constructing the design of each enterprise Environment, including the implementation of multiple counselling measures, the establishment of various design technical support systems, the design of intellectual property rights protection systems, and the provision of corporate subsidies, training channels, etc., plus government agencies have proper control over design policies, future design directions, and national budget resources. Development strategies such as design division and cooperation carried out by non-governmental and semi-official organizations have promoted Taiwan's design to shine in the world. The changes brought about by computer technology and the Internet to human life patterns have changed the functional positioning of the design industry. Today, after experiencing the new crown pneumonia epidemic, the business behavior models that people are familiar with are changing. In the changing situation, the traditional commercial space business model is rapidly shrinking, but human existence must be in the physical environment, and the new real-virtual experience model will definitely change the way of life. This is the creativity and challenge of this generation of design industry practitioners.

Research on the Agglomeration and Spatiotemporal Development of China's Green High-Tech Industries

Accurate understanding of the spatial and temporal development of the agglomeration of green high-tech industries holds significant importance for the scientific formulation of policies promoting industrial innovation and development. This has attracted increasing attention from scholars. Utilizing nearly a decade's worth of statistical data on China's green high-tech industries, this paper employs methods from spatial geography and other disciplines to analyze the temporal and spatial variations, as well as the agglomeration characteristics of these industries in China. A comprehensive analysis of the development levels of China's high-tech industries and their sub-sectors is conducted through calculations of spatial Gini coefficients, industrial concentration ratios, location quotients, and coefficients of variation.Results indicate that the four key indicators of the development of China's major high-tech industries, namely the number of enterprises, employment figures, operating income, and profits, exhibit linear growth trends. Overall, the agglomeration level of the industry shows a fluctuating downward trend. The regional agglomeration level follows a gradient distribution trend of "eastern region - central region - western region - northeastern region," with a decreasing concentration trend. Regional disparities in the agglomeration level of industries evolve over time, with an increasing concentration in the western and central regions, and a decreasing concentration in the eastern and northeastern regions. From a provincial perspective, Guangdong and Jiangsu provinces stand out with significantly higher levels of development in high-tech industries.Furthermore, distinct differences are observed in the development processes of four typical industries. The agglomeration levels, ranked from high to low, are as follows: computer and office equipment manufacturing, electronic information and communication equipment manufacturing, medical device manufacturing, and pharmaceutical manufacturing，the development of the four types of industries has undergone certain transfers and optimizations.

SYSTEMIC FEATURES OF INNOVATION DEVELOPMENT IN THE USA

Due to the importance of innovations as a factor for economic growth and competitiveness, ensuring their sustainable development is a universal task for the country. The most intense race for innovation is observed among countries striving for global dominance. This article is dedicated to the study of the specific features of innovation development in the United States, where innovative potential has become one of the cornerstones of their economic strategy and a key driver of their success. The United States has significant distinctions from other countries in terms of culture, institutions, economic organizations, economic regulation, etc., which together create the basic conditions for innovation and require consideration. The focus on innovation development in the United States is driven by intensified competition with other global players, particularly from China.The main goal of the research is to summarize and characterize the systemic features of innovation development in the United States, as well as to identify the key factors intensifying innovation productivity in the country.The study of the systemic features of innovation development in the United States covered the analysis of 1) civilizational factors; 2) institutional system; 3) economic system; 4) innovation system; 5) state innovation policy. The main factors intensifying innovation productivity in the United States were identified as the combination of entrepreneurial and large-scale capitalism, venture capital investment, and territorial agglomerations of innovative structures. The need to consider the peculiarities of innovation generation in the military sector, universities, and non-profit organizations has been justified. The strength of the United States innovation system has been statistically demonstrated, however, the increasing competition in science and innovation from China has been confirmed. This has led to the intensification and change in the type of state innovation policy in the United States, with a focus on targeted support for innovation in industry in the context of the green transition.

Key performance indicators for hospital planning and construction: a systematic review and meta-analysis

PurposeThe successful implementation of hospital projects (HPs) tends to confront sundry challenges in the planning and construction (P&C) phases due to their complexity and particularity. Employing key performance indicators (KPIs) facilitates the monitoring of HPs to advance their successful delivery. This study aims to comprehensively investigate the KPIs for hospital planning and construction (HPC).Design/methodology/approachThe KPIs for HPC were identified through a systematic review. Then a comprehensive assessment of these KPIs was performed utilizing a meta-analysis method. In this process, basic statistical analysis, subgroup analysis, sensitive analysis and publication bias analysis were performed.FindingsResults indicate that all 27 KPIs identified from the literature are significant for executing HPs in P&C phases. Also, some unconventional performance indicators are crucial for implementing HPs, such as “Project monitoring effectiveness” and “Industry innovation and synergy,” as their high significance is reflected in this study. Despite the fact that the findings of meta-analysis are more trustworthy than those of individual studies, a high heterogeneity still exists in the findings. It highlights the inherent uncertainty in the construction industry. Hence, this study applied subgroup analysis to explore the underlying factors causing the high level of heterogeneity and used sensitive analysis to assess the robustness of the findings.Originality/valueThere is no consensus among the prior studies on KPIs for HPC specifically and their degree of significance. Additionally, few reviews in this field have focused on the reliability of the results. This study comprehensively assesses the KPIs for HPC and explores the variability and robustness of the results, which provides a multi-dimensional perspective for practitioners and the research community to investigate the performance of HPs during the P&C stages.

A Feasibility Study on the Application of Artificial Intelligence on the Human Resource Practices among Manufacturing Companies in China

This paper presents a feasibility study on the integration of artificial intelligence (AI) into human resource (HR) practices within the manufacturing sector of China. With the rapid advancement of AI technologies, industries worldwide are exploring its potential applications to streamline operations and enhance efficiency. However, the adoption of AI in HR functions, particularly within manufacturing companies in China, remains relatively unexplored. This study aims to assess the feasibility of implementing AI-driven solutions in various HR processes such as recruitment, training, performance evaluation, and employee engagement. The research methodology involves a combination of qualitative and quantitative approaches. Primary data will be collected through surveys, interviews, and focus group discussions with HR professionals, managers, and employees from a diverse range of manufacturing companies across different regions in China. Additionally, secondary data from relevant literature, industry reports, and case studies will be analysed to gain insights into current trends, challenges, and best practices associated with AI adoption in HR. Key factors influencing the feasibility of AI integration will be examined, including technological readiness, organizational culture, regulatory environment, cost-benefit analysis, and potential socio-economic implications. The study will also explore the perceived benefits and concerns regarding the use of AI in HR practices, such as improved recruitment accuracy, enhanced employee productivity, data privacy concerns, and ethical considerations. Furthermore, the research will identify potential barriers and enablers to successful AI implementation and provide recommendations for policymakers, HR practitioners, and organizational leaders to navigate the challenges and leverage the opportunities presented by AI in the manufacturing sector. By shedding light on the feasibility and implications of AI adoption in HR practices, this study seeks to contribute to the ongoing discourse on the future of work and technological innovation in China's manufacturing industry.

Research and practical exploration on innovation and entrepreneurship in Master of Arts in Fashion Design major based on new liberal arts

Deeply implement industry-university cooperation collaborative education projects, deepen the integration of industry and education, and school-enterprise cooperation, and promote the reform and innovation of contemporary fashion master's degree design talents. Through preliminary exploration and attempts at teaching clothing brand product design courses, this paper has formed a new teaching design model based on innovative and entrepreneurial thinking, that is, ability training as the orientation, project system as the core, and multi-disciplinary intersection as the means. It is an education model in the direction of mass entrepreneurship and innovation through curriculum teaching service projects and project practice to deepen teaching. Use innovative design to drive the sustainable development of the clothing brand industry and provide enterprises with design talents that meet the personalized and characteristic needs of the future fashion consumer market. At the same time, it has guiding significance for the employment development of postgraduate students majoring in the Master of Arts in Fashion, laying a solid foundation for students to enter the field of innovation and entrepreneurship in the fashion industry in the future.

Research on evaluation of Wuhan air pollution emission level based on entropy weight method

For the lack of precise monitoring and accurate assessment models for air quality, this paper fully considers such constraints and establishes an evaluation model of air pollution emission level to evaluate the air pollution emission level of Wuhan—a city in central China. The model uses entropy weight method including important indicators of air pollution into the integrated optimization of air quality assessment, laying the basis for sources of pollution and the reasonable and effective city development. The total emissions of air pollution for Wuhan shows a gradual upward trend over time, mainly coming from industrial pollution. The government can reduce air pollution by focusing on detecting major polluting industries, promoting industrial technological progress and innovation, and strengthening the effective implementation of emission trading system.

Effective Communication to Support Inpatient Service Innovation: Room Available Without Added Cost (KT3B) Program at Mardi Rahayu Hospital

Communication is needed in an organization to overcome various problems that exist. Problems that arise usually greatly affect the quality of service to the public. Improving service quality is not only the addition of service variables, but can be done through improvements to previously running services. Innovation in the health service industry is an obligation that is carried out. Efforts to improve access to health services for patients are a priority that is presented in services in all health facilities. Efforts to build Mardi Rahayu Hospital's effective communication strategy to support inpatient service innovation which is a priority inpatient program. This research uses descriptive qualitative methodology belonging to (Moleong, 2012) by trying to reveal what effective communication strategies are used in launching inpatient service innovations. Data collection was carried out by interviewing registration officers, and nurses who became the primary data of researchers, and also direct observation.

Study on the Applicability of Green and Efficient Refrigeration and Air Conditioning Based on Exhaust Air Heat Recovery Technology

With the sustained and stable development of the national economy, China has stepped into a new stage of green emission reduction. Under the environment of comprehensively promoting the market share of green and efficient refrigeration products, the popularization and use of exhaust air heat recovery technology in different fields will further promote the green and efficient transformation of the refrigeration industry, improve the industry's independent innovation technology, and accelerate the construction of ecological civilization. This project firstly analyzes the research background, reviews domestic and international research, and clarifies the research background and current situation; secondly, it builds a comprehensive evaluation system for green refrigeration development based on three major energy-saving concepts, and measures the level of green refrigeration development in China's first-tier cities; secondly, it applies empirical evidence based on the data of three districts and cities, namely, Beijing, Shanghai, and Guangzhou, in the period of 2011-2021, to analyze the effect of the exhaust heat recovery technology on the development of high-efficiency green refrigeration. Then, based on the data of Beijing, Shanghai and Guangzhou from 2011 to 2021, we use the empirical analysis to analyze the effect of exhaust air heat recovery technology on the development of high-efficiency green refrigeration.

RUSSIA IN THE 2020S: INDUSTRY 4.0 AND SOCIO-POLITICAL ASPECTS OF ITS INTEGRATION IN MASS ESTIMATES OF THE POPULATION (BASED ON SOCIOLOGICAL RESEARCH)

Purpose of the study: to form an objective understanding of the socio-political issues of integrating Industry 4.0 technologies into modern society in general and Russian society in particular. Methodology. The author, using a wide range of the latest domestic and foreign sources, conducts a consistent analysis of the most general issues related to the topic of the work, gives a general description of the theoretical discourse on the integration of Industry 4.0 technologies into society, and considers the interpretation of socio-political aspects in a (joint) “smart” production of Industry 4.0, explores pressing problems with compliance with established socio-economic practices in joint intelligent production, explores the presence of “fear of the future” in society, attitude towards breakthrough innovations of Industry 4.0, using the example of a survey of European society, the attitude of Russian society to the perception of Innovation 4.0 is outlined. Conclusions. Based on the results of the analysis, the author comes to the logical conclusion that the traditional system of established socio-economic practices will undoubtedly face a whole range of new challenges that may lead to a change in views on its form and content, both theoretical and theoretical. and applied it. in terms of compliance and execution of the plan. Especially, according to the author, this can be clearly manifested in the corporate sphere, which in the foreseeable future will become increasingly complex, and in the judicial sphere, where it will be unclear who to file claims against as a result of a trial for restoration or compensation for harm based on the results of an established violation of civil law.

Isolation of Thermophilic Bacteria from Extreme Environments in Northern Chile.

The northern region of Chile boasts unique geographical features that support the emergence of geothermal effluents, salt lagoons, and coastal creeks. These extreme climate conditions create polyextreme habitats for microorganisms, particularly adapted to survive these harsh environments. These extremophilic microorganisms hold immense potential as a source of hydrolytic enzymes, among other biotechnological applications. In this study, we isolated 15 strains of aerobic thermophilic bacteria (45-70 °C) from sediment samples collected at five different ecological sites, including hot springs, geothermal fields, and lagoons in the Atacama Desert and Andes high planes. Analyses of the 16S rRNA gene sequences of the isolates showed a close genetic similarity (98-100%) with microorganisms of the genera Parageobacillus, Geobacillus, Anoxybacillus, and Aeribacillus. Notably, these thermophiles exhibited significant hydrolytic enzyme activity, particularly amylases, lipases, and proteases. These findings underscore the potential of using these thermophilic bacterial strains as an invaluable source of thermozymes with wide-ranging applications in diverse industries, such as detergent formulations, pharmaceutical processing, and food technology. This research highlights the ecological significance of these extreme environments in the Atacama Desert and Andes high plains, which serve as vital ecological niches housing extremophilic bacteria as a genetic source of relevant thermozymes, promising great potential for innovation in the biotechnology industry.

Time varying effects in survival analysis: a novel data-driven method for drift identification and variable selection

In this paper we address the problem of survival models when high-dimensional panel data are available. We discuss two related issues: The first one concerns the issue of variable selection and the second one deals with the stability over time of such a selection, since presence of time dimension in survival data requires explicit treatment of evolving socio-economic context. We show how graphical models can serve two purposes. First they serve as the input for a first algorithm to to assess the temporal stability of the data: Secondly, allow the deployment of a second algorithm which partially automates the process of variable selection, while retaining the option to incorporate domain expertise in the process of empirical model-building. To put our proposed methodology to the test, we utilize a dataset comprising Italian firms funded in 2009 and we study the survival of these entities over the period of 10 years. In addition to revealing significant volatility in the set of variables explaining firm exit over the years, our novel methodology enables us to offer a more nuanced perspective than the conventional one regarding the critical roles played by traditional variables such as industrial sector, geographical location, and innovativeness in firm survival.

Exploring the Potentials of Chitin and Chitosan-Based Bioinks for 3D-Printing of Flexible Electronics: The Future of Sustainable Bioelectronics.

Chitin and chitosan-based bioink for 3D-printed flexible electronics have tremendous potential for innovation in healthcare, agriculture, the environment, and industry. This biomaterial is suitable for 3D printing because it is highly stretchable, super-flexible, affordable, ultrathin, and lightweight. Owing to its ease of use, on-demand manufacturing, accurate and regulated deposition, and versatility with flexible and soft functional materials, 3D printing has revolutionized free-form construction and end-user customization. This study examined the potential of employing chitin and chitosan-based bioinks to build 3D-printed flexible electronic devices and optimize bioink formulation, printing parameters, and postprocessing processes to improve mechanical and electrical properties. The exploration of 3D-printed chitin and chitosan-based flexible bioelectronics will open new avenues for new flexible materials for numerous industrial applications.

Fintech in islamic finance literature: A review

This literature review examines the role of fintech in the context of Islamic finance. Through a systematic analysis of relevant literature, this research highlights the contribution of fintech in improving Islamic financial services as well as the challenges faced in the integration process. These findings indicate that although fintech has opened the door to innovation in the Islamic finance industry, there is still a need to overcome barriers related to sharia compliance and consumer protection. Therefore, this research underlines the importance of a careful and planned approach in integrating fintech with Islamic finance principles.

The Application of Natural Elements in Industrial Materials

With the pursuit of a balance between industrial development and environmental protection, the importance of natural elements in the application of industrial materials is becoming increasingly prominent. The article mainly focuses on the definition and classification of natural elements in industrial materials, as well as their mechanism of action in improving material properties. The article analyzes the unique contributions of plant-based materials, mineral materials, and bio-based polymers in enhancing material properties. Meanwhile, the article also points out the cost, technological, and environmental regulatory challenges faced by natural elements in industrial applications, as well as innovative solutions to address these challenges. These solutions include technological innovation, policy support, and building sustainable supply chains. This comprehensive analysis not only reveals the key role of natural elements in industrial material innovation but also provides profound insights for future research and applications.

Urban green land use efficiency of resource-based cities in China: Multidimensional measurements, spatial-temporal changes, and driving factors

The green use of urban land has become a key for the sustainable transformation of resource-based cities. This paper selects 116 Chinese resource-based cities to construct an evaluation system for urban green land use and measure its efficiency. Secondly, it identifies driving factors affecting urban green land use efficiency (UGLUE) and comprehensively analyze the heterogeneity of these factors. The important findings of this paper include: (1) The UGLUE of resource-based cities in China has experienced a trend of first fluctuating and then improving. However, there are obvious regional differences. The UGLUE in the eastern and western regions are higher than those in the central and northeastern regions. (2) Industrial upgrading, financial development and technological innovation are key factors affecting UGLUE in resource-based cities. (3) There is significant heterogeneity in the impact of different factors in different city types, different regions and different time periods. The land use in resource-based cities should transform from blind expansion in pursuit of short-term economic benefits to a green development that pursues the coordination of economic, social, and ecological benefits based on the local conditions.

Impact of the coupling relationship between marine industry and regional development on the marine economy

To investigate the relationship between the marine industry and regional development, and assess its impact on the marine economy. The study creates an evaluation index system for the coupling relationship between the marine economy and regional development. It applies coupling theory and combines the hierarchical analysis method with the entropy weight method to determine the weight of each index. By constructing the coupling degree and coupling coordination degree model, this paper quantitatively analyzes the coupling relationship and applies the coefficient of variation to assess the coordinated development differences between different regions. The study utilized data from the official China Marine Statistical Yearbook. The analysis revealed an upward trend in the coupling degree of the marine economy and regional development during the study period, increasing from 0.58 to 0.72. This indicated a significant strengthening of the interaction and synergistic development between the two. In typical coastal areas, the coupling degree increased from 0.62 to 0.78, indicating the significant contribution of the marine industry to the region's comprehensive economic development. The study proposes policy recommendations to enhance the adjustment of the marine industrial structure and technological innovation, promote inter-regional cooperation and resource sharing, and strengthen marine environmental protection and sustainable resource utilization. These measures aim to promote the development of the marine economy while safeguarding marine resources.

The relationship between digital economy and industrial green innovation efficiency – based on the perspective of external knowledge sources

PurposeDriven by the development of the global digital economy, knowledge management in industrial enterprises offers more possibilities for green innovation. Based on the perspective of external knowledge sources, this study aims to construct a panel regression model to explore the relationship between digital economy and industrial green innovation efficiency.Design/methodology/approachPanel data from 30 regions in China from 2011 to 2020 were selected as research samples. All data are obtained from national and provincial statistical yearbooks. Coupling coordination degree analysis, entropy method, panel regression analysis, robustness test and threshold effect test by Stata 16.0 were used to test the hypotheses.FindingsThe empirical results demonstrate the hypotheses and reveal the following findings: the digital economy is positively related to industrial green innovation efficiency and external knowledge sources, and external knowledge sources mediate the relationship between them. Moreover, based on the threshold test results, the digital economy has a double-threshold effect on industrial green innovation efficiency.Originality/valueBased on the perspective of external knowledge sources, the proposed mediating mechanism between the digital economy and industrial green innovation efficiency has not been established previously, further enriching the research on the antecedents and outcomes of external knowledge sources. Moreover, this study estimated the direct influence mechanism and double-threshold effect of the digital economy on industrial green innovation efficiency from theoretical and empirical analysis, thus responding to the call of scholars and adding to existing research on how the digital economy affects the green transformation of industrial enterprises.