Innovation In Industry Research Articles

Islamic Banking Performance and Internal Sharia Capital Collaboration

Objective: This study examines the impact of Internal Sharia Capitals, including Organization, Operational, Infrastructure and Spiritual to Collaboration Strategy. This objective is essential to explore whether the Sharia Capital from three companies has affected the collaboration strategy after merging. Another objective of this study is to analyze the collaboration strategy as a mediator in the relationship between Innovation and Business Performance. Research Method: This research used a quantitative method with structural equation modelling analysis. Data was collected from 300 Sharia bank executives throughout Indonesia. Data was processed using SmartPLS version 4.1.0 to analyze the hypotheses for this study. Research Result & Discussion: This research finds that Operational Sharia Capital impacted Collaboration Strategy significantly. Innovation and Collaboration Strategy significantly affected business performance. Strategic Collaboration also mediated the relationship between Innovation Strategy and Business Performance. This study provides crucial information on the importance of Operational Sharia capital in a newly merged Islamic financial industry. It is similar to other financial industries in that the organization needs strategic innovation to improve business performance. Additionally, our study found that having behavioral operation management, called Behavioral Operation, to follow strict rules like Sharia Law will affect Collaboration and increase the opportunity to have better business performance. Originality and Value: Sharia capital is internal capital in Islamic Financial Industry. Based on result of study and exploring previous studies about this capital, Authors can conclude that this industry need strong operational capital, Innovation and Collaboration Strategy to have impact in business performance. The other value of this study is an interesting result of new merging sharia bank need to focus on operational and ensure it comply with Sharia rules.

Clinical diagnosis, prevention, and treatment of neurodyspepsia syndrome using intelligent medicine.

Against the backdrop of rapid social economy and scientific and technological development, intelligent medical technology expanded based on the Internet plays a crucial role in the innovation and development of the modern medical industry. Intelligent medical technology has completely changed the fixed medical methods of the past, and it can solve the isolated defects between various unit systems, greatly improving the overall informatization level of hospitals. This article analyzed the clinical diagnosis, prevention, and treatment of neurodyspepsia syndrome (NDS) in intelligent medicine. Dyspepsia can cause palpitations, vomiting, abdominal distension, dizziness, and other symptoms so that it can cause discomfort and pain in the middle or around the epigastric region. Therefore, it is necessary to make a correct diagnosis of neurodyspepsia in order to reduce the discomfort of patients. Intelligent medical technology is of great significance in improving patients' symptoms. This study sets up a control group and an experimental group for the experiment. The control group used conventional medication technology, while the experimental group used intelligent medical technology to analyze the patient samples taken. By comparing the factors that affect patients with NDS, it was found that the physical function score of the experimental group was 6.3% lower than that of the control group. Intelligent medical technology has high diagnostic efficiency and can achieve rapid diagnosis of NDS, meeting the clinical diagnosis and prevention requirements of NDS.

Socio-economic Challenges in COVID Detection using Transfer Learning-Based Methods

Healthcare systems are at risk of collapsing unless significant structural and transformative measures are taken. Despite the global economy generating an additional 40 million jobs in the health sector by 2030, the World Health Organization projects a shortage of 9.9 million physicians, nurses, and midwives during the same period (WHO, 2016). The core of innovation in the healthcare industry lies in automation systems, particularly in the realm of image detection. As the ratio of healthcare workers to patients decreases, the integration of robotics and artificial intelligence plays a crucial role in bridging the gap. These technologies not only compensate for the declining workforce but also bring a level of accuracy and precision that eliminates the potential for human error in image detection processes. In this paper we focus on the COVID-19 pandemic that presents significant socio-economic challenges, impacting various aspects of daily life, including health, the economy, and social development. The need for chest X-ray (CXR) scans is rising due to pneumonia being a critical and common complication of COVID-19. Early detection and diagnosis are pivotal in curbing the spread of the virus, prompting the utilization of the reverse transcription polymerase chain reaction (RT-PCR) as the predominant screening technology. Nevertheless, the task's complexity, time-consuming nature, and reported insensitivity in this research emphasize the need for alternative approaches. CXR is a widely employed screening tool for lung-related diseases due to its straightforward and cost-effective application. In this paper, we have deployed different transfer learning methods to detect COVID-19 using chest X-ray images such as VGG19, ResNet-50, and InceptionResnetV2. The findings of our results indicate that the fine-tuned model utilizing the transfer learning and data augmentation techniques enhances the efficiency of COVID-19 detection. We performed a comparison of pre-trained networks and identified the InceptionResNetV2 model as having the highest classification performance with an accuracy of 97.33%.

Coordination between scientific and technological innovation and the high-quality development of Baijiu industry: The coupling and decoupling perspective.

The Baijiu industry is a significant contributor to both the food industry and the light industry. Its high tax characteristics effectively promote the sustainable development of the regional economy. First, the evaluation index system of scientific and technological innovation (STI) and high-quality development of Baijiu industry (HQDBI) were constructed. The entropy-improved CRITIC method was used to measure the weights. Second, the coordination relationship and evolution trend of STI and HQDBI were explored using the coupling coordination model and the Tapio decoupling model. Then, the transfer law and key influencing factors were further investigated using the Markov chain and grey correlation, respectively. The main contribution is the dynamic evolution of the coupling and decoupling relationships from the perspective of multiple Baijiu provinces, and deeply depicts the coordination relationship and evolutionary trends of STI and HQDBI. The results show that: the spatial distribution of the coupling coordination degree shows high values in the east-west and low values in the north-south characteristics. In 2021, a pattern of coordinated development in Baijiu provinces has emerged along the Yangtze River basin. The decoupling state is mainly strong decoupling, but it remains poor in Shanxi. The coordination process is unstable and difficult to achieve leapfrog development. Coordination, sustainability and innovation environment have a greater impact on the coordination of subsystems.

Research on the Influence of Industrial Intelligence on the Activity of Innovation and Entrepreneurship

Drawing on China's panel data across 30 provinces between 2011 and 2021, this paper explains the impact of industrial intelligence on the activity of innovation and entrepreneurship from two aspects: baseline regression estimation results and nonlinear effects. In this paper, the installation density of industrial robots is used to measure industrial intelligence, and the threshold regression model and panel fixed effect model are used to study the complex relationship between industrial intelligence and innovation and entrepreneurship at the national, eastern, central, and western levels. It is found that the development of industrial intelligence plays a significant positive role in the improvement of innovation and entrepreneurship activity and presents the characteristics of "Midwest > East"; industrial intelligence has a significant threshold effect on the activity of innovation and entrepreneurship. When the region has a strong talent agglomeration, industrial intelligence has a greater effect on the promotion of innovation and entrepreneurship activity.

The Application of Intelligent Architectural Design in Energy Saving and Sustainable Development

In today's context, energy conservation, emissions reduction, and sustainable development are highly prioritized, and the architectural industry must recognize the value of intelligent buildings to maintain stable growth amidst fierce competition. Intelligent design not only enhances the energy efficiency of buildings, achieving energy savings and emissions reductions, but also significantly improves their safety and convenience, providing a more comfortable living environment for residents. Moreover, it is a key force driving technological innovation in the architecture industry, leading it towards more efficient, environmentally friendly, and sustainable development. In terms of application principles, intelligent architectural design emphasizes coordination, integrity, and flexibility. It requires considering the harmonious unity between architecture and the environment, ecosystems, and human needs during the design process, treating the building as an integrated system, and focusing on the flexibility and adjustability of the design to accommodate potential future changes. In specific applications, intelligent designs for natural lighting, ventilation, and electrical systems are important manifestations of intelligent architectural design. These applications, through intelligent control systems and devices, achieve efficient management and adjustment of the building environment, thereby enhancing the building's energy efficiency and contributing to sustainable development.

The Role of Digital Leadership in Accelerating Innovation in the Pharmaceutical Industry

The Role of Digital Leadership in Accelerating Innovation in the Pharmaceutical Industry

Unlocking Economic Resilience: A New Methodological Approach and Empirical Examination under Digital Transformation

Economic resilience is crucial for urban sustainability as it ensures stability and growth in the face of external shocks, promotes social cohesion and inclusivity, fosters environmental sustainability, and enhances cities’ adaptability to future challenges. This study expands the conventional perspective on economic resilience beyond the context of shocks, focusing on the inherent resilience of regional economic systems. A novel method for quantifying economic resilience is introduced, emphasizing system sensitivity and adaptability. Using Chinese prefecture-level city data and an econometric model, we empirically examine how Fintech, a major digital transition in current urban systems, affects economic resilience. The findings reveal that Fintech has a substantial positive effect on economic resilience, primarily through the upgrading of industrial structures and technological innovation. Furthermore, there is significant regional heterogeneity in the impact of Fintech on economic resilience, with more pronounced contributions in the east, central, and western regions of China, as opposed to the northeast. Additionally, the impact of Fintech on economic resilience is more substantial in large-scale cities. The promotion of economic resilience through digital transformation serves as a potent risk prevention measure. Understanding the role of economic resilience in urban systems holds valuable implications for countries worldwide.

An Empirical Analysis Of Critical Factors For E Commerce Application In Banking Industry

The foundation of contemporary business transactions, e-commerce, is fundamentally changing banking services across the globe. It is important because it offers unmatched ease, broadens the market, improves operational effectiveness, encourages financial inclusion, and spurs innovation in the banking industry. Financial institutions must comprehend the key elements driving e-commerce success in order to stay competitive and satisfy changing consumer demands. In order to optimize e-commerce applications in the banking industry, this empirical analysis focuses on key drivers such as security measures, user experience, interaction with financial systems, scalability and flexibility, and leadership. 240 participants who were actively utilizing the e-commerce platform in the banking sector provided information for an empirical examination of the important factors for e-commerce applications in the industry. The results showed that the independent variables account for about 45% of the variability in the dependent variable. Overall, this empirical analysis highlights the need of addressing these crucial elements to improve customer happiness and competitiveness and offers insightful information on the complex structure of e-commerce applications in the banking sector.

Biomechanical effects of men’s dress shoes made with bacterial cellulosic composite

PurposeThis study aimed to compare the performance of sustainable shoes made with bacterial cellulosic composite and commercial leather shoes using an experimental research design. The two specific research objectives were: (1) to examine the basic material properties of multi-layered bacterial cellulosic materials (MBC), which include green tea-based cellulosic (GBC) mats, hemp fabrics, and denim fabrics, in comparison with those of two-layered leathers (MCP) consisting of calf-skin and pig-skin – commonly used in shoe manufacturing; and (2) to explore wearers’ performance in the two types of shoes by assessing quantitative kinematic and kinetic parameters of lower body movements.Design/methodology/approachThis study focused on assessing the basic materials testing and performance of sustainable shoes through a biomechanical approach, in contrast to commercially available leather shoes, through human wear trials. In this study, green tea-based cellulosic (GBC) mats were developed using the optimal combination of ingredients for cellulose growth. Subsequently, the GBC, denim fabric (100% cotton), and 100% hemp fabric were combined to create multi-layered bacterial cellulosic materials (MBC) as an alternative to leather. Additionally, calf-skin and pig-skin leathers were utilized to produce a commercially available two-layered leather (MCP), commonly employed in shoe manufacturing. 37 of the 42 human subjects who participated in wear testing were collected. A paired t-test was conducted to determine whether significant mean differences existed between the two shoe types, a paired t-test was conducted.FindingsTo develop a biodegradable and compostable material that could be used as a leather alternative for the footwear industry, we proposed MBC and examined its properties compared with those of MCP, a product often used when making shoes. These findings confirmed the similar properties of MBC and MCP from the material testing and the possibility of using a men’s sustainable shoe prototype as a leather alternative, in terms of kinematics and kinetics.Practical implicationsThe new multi-layered bacterial cellulosic materials (MBC) could be an alternative to commercial leathers such as innovative sustainable material construction, advanced design, and advanced techniques to optimize the overall performance of sustainable footwear.Originality/valueInvestigating the integration of smart textile technologies, ergonomic design principles, and personalized customization will contribute to developing MBC and making sustainable shoes using MBC compared with commercial leather shoes. This study provides valuable insights into further refinement and innovation in the sustainable footwear industry.

Enhancing plant-based cheese formulation through molecular docking and dynamic simulation of tocopherol and retinol complexes with zein, soy and almond proteins via SVM-machine learning integration

The current study addresses the growing demand for sustainable plant-based cheese alternatives by employing molecular docking and deep learning algorithms to optimize protein-ligand interactions. Focusing on key proteins (zein, soy, and almond protein) along with tocopherol and retinol, the goal was to improve texture, nutritional value, and flavor characteristics via dynamic simulations. The findings demonstrated that the docking analysis presented high accuracy in predicting conformational changes. Flexible docking algorithms provided insights into dynamic interactions, while analysis of energetics revealed variations in binding strengths. Tocopherol exhibited stronger affinity (−5.8Kcal/mol) to zein compared to retinol (−4.1Kcal/mol). Molecular dynamics simulations offered comprehensive insights into stability and behavior over time. The integration of machine learning algorithms improved the classification and the prediction accuracy, achieving a rate of 71.59%. This study underscores the significance of molecular understanding in driving innovation in the plant-based cheese industry, facilitating the development of sustainable alternatives to traditional dairy products.

Artificial Intelligence, Big Data, and Cloud Infrastructures: Policy Recommendations for Enhancing Women's Participation in the Tech-Driven Economy

This study investigates the underrepresentation of women in Artificial Intelligence (AI), Big Data, and Cloud Infrastructures, exploring the barriers and challenges they face and assessing the effectiveness of current policies and initiatives to promote gender diversity within the tech industry. Employing quantitative research methods, the study used a survey distributed to 572 female professionals in tech-related roles across various industries, achieving a 67.9% response rate. Multiple regression analysis was utilized to test four main hypotheses concerning barriers to entry and advancement, the inclusivity of educational programs, the impact of diverse teams on innovation and performance, and the effectiveness of gender-inclusive policies. Key findings indicate that the type of organization and specific tech sectors significantly influence the barriers experienced by women. Notably, gender diversity within teams correlates strongly with improved innovation and performance. However, educational and training programs often fail to be sufficiently inclusive, underscoring the need for programs better tailored to women's needs in tech fields. Moreover, the study confirms that implementing gender-inclusive policies substantially increases women's participation in tech roles, especially when these policies are applied long-term. Based on the findings, recommendations are made for adopting comprehensive, inclusive practices at organizational and educational levels, promoting diversity in team composition and leadership, committing long-term to effective policy implementation, and developing supportive networks through mentorship and sponsorship programs. These measures are aimed at reducing gender disparities and enhancing the integration of women into the high-tech economy. The study underscores the critical role that strategic policy-making and organizational change play in fostering an inclusive tech environment that not only addresses gender disparities but also enhances overall industry innovation and performance.

Can low-carbon cities pilot policy promote enterprise sustainable development? Quasi-experimental evidence from China.

With the predicament of sustainable improvement in traditional cities, the low-carbon city pilot policy (LCCPP), as a novel development mode, provides thinking for resolving the tensions of green development, resource conservation and environmental protection among firms. Using Chinese A-share listed companies panel data during 2007-2019, this study adopts the difference-in-differences model to explore the impact of LCCPP on firm green innovation. Based on theoretical analysis, LCCPP-driven environmental rules have the impact of encouraging business green innovation. The relationship between LCCPP and green innovation is strengthened by external media attention and organizational redundancy resources. The mechanism study shows that the incentive effect of LCCPP on firm green innovation is mainly due to the improvement of enterprises' green total factor productivity and financial stability. In addition, the heterogeneity analysis shows that the LCCPP has significantly positive effects in promoting green innovation in high-carbon industries and state-owned enterprises. This research contributes to the understanding of city-level low-carbon policies as a driving force for corporate green innovation, offering practical implications for policymakers and businesses striving for sustainability.

A digital Technology–Cultural resource strategy to drive innovation in cultural industries: A dynamic analysis based on machine learning

With the gradual maturing of digital technology, the innovation strategy of ‘technology + culture’ is becoming increasingly significant for the sustainable development of cultural industries. This paper takes cultural industries in China's 31 provinces and municipalities in 2019 as a research sample and seeks to explore the multi-dimensional and periodical evolution relationship between digital technology, cultural resources, and innovation in cultural industries by drawing on machine learning algorithms and ergodic theory. The following conclusions are obtained. Firstly, the relationship between digital technology and cultural resources and their impact on the innovation of cultural industries is found to be nonlinear, which is a dynamic evolution process. Secondly, the impact of cultural resources on cultural industry innovation is not completely positively correlated, and the impact on technological innovation is more like an inverted U-shaped curve with a rising, peak, and declining period; the impact on content innovation, meanwhile, is similar to the ferment and take-off stages in the S-curve of innovation. And digital technology plays a significant role in promoting innovation, and is, especially in technological innovation, more like an ascending step from quantitative changes to qualitative change. Thirdly, digital technology and cultural resources are found to play different roles in the different stages of innovative development. Cultural resources are the basic factor and digital technology is the incentive factor.

ІННОВАЦІЙНИЙ РОЗВИТОК ПРОМИСЛОВИХ ПІДПРИЄМСТВ В УМОВАХ УПРАВЛІННЯ ПРОЕКТАМИ ТА СМАРТ-ЕКОНОМІКИ

The article examines the issues of innovative development of industrial enterprises in terms of project management and smart economy. Researched scientific works on selected issues. The expediency of using a taxonomic index in the analysis of innovative development of industrial enterprises in terms of project management and smart economy was determined. Attention is focused on the fact that there is a trend of decreasing innovative development in Ukrainian industry, which can be caused by various factors that affect both the internal environment of the enterprise and external conditions. Strategic directions for increasing innovativeness in industry in terms of project management and smart economy are proposed. The expediency of combining smart approaches and project management has been proven. It was noted that the use of project management methods allows to effectively implement new ideas and technologies, shorten the time from idea to release to the market, and also reduce development and production costs. The smart economy opens up new opportunities for industrial development, taking into account the use of smart technologies, data exchange and process automation. It is noted that the integration of these approaches allows creating a favorable environment for the creation and introduction of innovative products and services, which contributes to the growth of the competitiveness of industrial enterprises in the global market environment

Stress concentrations and design for additive manufacturing: a design artefact approach to investigation

AbstractThe accelerated rate of product development and design complexities offered by Additive Manufacturing (AM) has allowed for innovation in the space industry. However, the surface roughness of parts poses a challenge, as it impacts performance and is tied to design choices. Design tools for traditional manufacturing methods fall short in AM contexts, prompting the need for alternative design processes. This work proposes an experimental approach to design for AM investigation using design artefacts to explore a process-structure-property-performance relationship.

The Evolution and Generation of the History of International Ceramic Trade

The evolution and development of ceramic international trade have been shaped by various factors throughout history. From the ancient civilizations to the modern era, the trade of ceramics has played a significant role in global commerce. Colonialism had a major influence on the patterns and trends of ceramic trade, as European powers established trade routes and monopolies in different regions. The exchange of ceramic products facilitated economic growth and cultural exchange between nations. In the modern context, the trends in ceramic international trade have shifted towards a more globalized and interconnected market. Technological advancements and globalization have led to increased competition and innovation in the ceramic industry. International trade agreements and organizations have also played a role in shaping the dynamics of ceramic trade. Overall, the study of ceramic international trade history provides valuable insights into the interconnection of economies and cultures around the world. By understanding the past trends and developments in ceramic trade, we can better navigate the challenges and opportunities in the global marketplace.

Critical Evaluation Of Sustainable Development In Urban Areas Of Latin America: Systematic Review

The objective of this research article is to analyze the level of sustainable development in urban areas of Latin America. To this end, a systematic review was carried out based on the PRISMA method, limiting the search from January 2018 to July 2023, using the Scopus and Scielo databases and the Google Scholar search engine, with the intention of systematizing and analyzing the articles. on sustainable development. In this way, 15 articles from different authors, languages and countries were analyzed. As a result, it was specified that Latin American countries show three different levels of sustainable development: advanced, intermediate and low, the latter being the most predominant in the region with 46.67%, among the articles analyzed. Additionally, it could be seen that the situation constantly changes based on the approach and dimension addressed. As a conclusion to the study, it is pointed out that, although there are advances in areas such as university education and renewable energies, there are different challenges in water management and waste control, technological innovation and sustainability in the extractive industry.

“Ideas are really…” – supporting collaborative dialogues and community of practice for innovation via CO:RE cards

AbstractThe study explores the affordances of CO:RE Cards in prompting collaborative dialogues surrounding R&D and innovation among creative industry practitioners. The use of CO:RE Cards was evaluated in three sessions within a collaborative dialogue environment. It was analysed that they have prompted the building of a collective language and understanding among creative practitioners through collaborative knowledge construction and mutual learning. We discuss the potentially significant role of CO:RE Cards in nurturing a Community of Practice (CoP) for innovation in the creative industries.

Guest Editorial Data-Driven Innovation and Adversarial Learning Models for Industry 5.0 Toward Consumer Digital Ecosystems

Guest Editorial Data-Driven Innovation and Adversarial Learning Models for Industry 5.0 Toward Consumer Digital Ecosystems