Innovation In Industry Research Articles

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

Exploring the barriers to innovation adoption in the UK construction industry

AbstractThe UK construction industry is an important aspect of the UK economy; however, it is struggling to keep pace with wider economic growth and if it does not change it will not be able to keep up with demand. There is a gap between academia and practice, and little understanding of how to successfully innovate within the industry. Following a workshop with 25 construction industry professionals on the barriers to innovation in the construction industry, key themes were developed through thematic analysis including regulation, fragmentation and constant change.

The innovativeness of technologies of Industry 4.0 in the modern mining environment

The article presents the results of Industry 4.0 technologies in the modern mining environment. The study is aimed at identifying trends in interest in the topic of innovativeness of Industry 4.0 technologies in the modern global mining environment. To solve the problem of implementing innovations in the context of Industry 4.0 in the modern mining environment, particularly those related to mining science, two approaches were used: the Google Trends search service and the VOSviewer software. The first stage of the study identified the level of interest in mining science and Industry 4.0 in the world. According to the results of the second stage of the study, 8 strategic directions for the development of the mining industry within Industry 4.0 were identified in accordance with the qualitative composition of clusters by keywords in scientific publications, the Scopus scientometric database on the topic of innovativeness of Industry 4.0 technologies in the modern mining environment. It is proposed through amending the mining legislation in accordance with the development of Industry 4.0 technologies for the automation and digitalization of mining significantly increase interest in transformational changes.

تحديات وعوامل نجاح المؤسسات الصغيرة والمتوسطة في قطاع الأغذية في منطقة الرياض

Small and medium-sized enterprises (SMEs) in the food sector in Riyadh face various challenges and factors affecting their success. This research aims to identify the main challenges encountered by SMEs in the food sector in Riyadh, explore the strategies they adopt, and analyze the success factors contributing to the growth and sustainability of these SMEs. The researchers employed a descriptive survey method, suitable for the nature and objectives of the study, and selected 52 SME owners from the study population. The study revealed several key findings: the overall average response of the study participants regarding the challenges and difficulties faced by SMEs fell at a "agree" level with an average score of 4.02. Additionally, the overall average response of the study participants regarding the success factors of SMEs fell at a "strongly agree" level with an overall average score of 4.51. Furthermore, the overall average response of the study participants regarding marketing and promotion in SMEs fell at a "agree and strongly agree" level with an overall average score of 4.40. The study recommended that educational and training programs specialized for SME owners in the food sector be provided, including marketing, cost management, and development of managerial skills, to increase their understanding and enhance their capabilities in dealing with financial and marketing challenges. Academic institutions should be encouraged to provide greater support for research and innovation in the food industry, including providing funding and necessary resources for researchers to focus on innovative solutions to the challenges facing SMEs in this sector. Universities and academic institutions should support SMEs in the food sector in updating their technology and applying modern technological solutions to improve their productivity, product quality, and more effective marketing.

The Effect of Employee Support Policy Effectiveness, Collaborative Leadership, and Work Rewards on Organizational Innovation in the Manufacturing Industry in West Java

This study investigates the effect of employee support policy effectiveness, collaborative leadership, and work rewards on organizational innovation in the manufacturing industry in West Java. Using a quantitative analysis approach, data was collected from 135 employees across various manufacturing firms. Structural Equation Modeling (SEM) with Partial Least Squares (PLS) was employed to analyze the relationships between the variables. The results reveal significant positive relationships between employee support policy effectiveness, collaborative leadership, work rewards, and organizational innovation. The findings underscore the importance of prioritizing employee well-being, fostering collaborative leadership practices, and implementing effective reward systems to promote innovation within organizations. These insights offer valuable implications for managerial practices and strategies aimed at enhancing organizational innovation and competitiveness in the manufacturing sector.

Harmonizing financial futures: AI enhancement and methodical fusion in banking risk oversight

The paper will deal with the link between finance and artificial intelligence (AI) in the context of banking, including how AI was introduced from simple tasks to more complex ones involving risk management and fraud detection. The phenomenon displays use of AI by banks as exemplified by First Financial Bank, which was able to open new accounts through intelligent digital assistants. The article focuses on the question of ethical AI that aims to create trust and compliance. This article has explored the position that big language models (LLMs) hold in enhancing virtual assistants in banking and the significance of open source models, as they contribute to collaboration and innovation in the financial industry.

Increasing Compressive Strength of Self Compacting Concrete with MasterGlenium and MasterSure

The growth in development complexity demands innovation in the construction industry. Self-compacting concrete (SCC) can flow and fill mold cavities without additional vibration, offering an efficient solution for structures with complex shapes or tight spaces. In addition, SCC can speed up bonding and simplify workability by adding MasterGlenium and MasterSure superplasticizers. However, its use is limited due to a lack of understanding of the optimal composition of the mixture. The research aims to determine the effect of adding MasterGlenium and Maste Sure in the concrete mixture on the compressive strength of concrete. Experimental research was conducted with a mixture of MasterGlenium additives at 0.25%, 0,30%, 0,35%, 0.40%, and MasterSure 0.30% of the total binder. Slump and compressive strength tests of concrete are carried out to determine workability and quality performance. The research results showed that the optimal concrete mix with the addition of MasterGlenium 0.35% and MasterSure 0.30% was 25.39 Mpa, higher than Normal concrete 15.21 Mpa. The slump test results confirm that the concrete is classified as SCC. This shows the importance of the composition of MasterGlenium and MasterSure superplasticizers on the compressive strength of SCC concrete. So, the results of this research can be used to improve the quality of concrete structure projects.

The Influence Of Perceived Security, Perceived Behavioural Control, And Social Influence On Behavioural Intention Indonesian Standard Quick Response (Qris) On Gen-Z In Batam City

Along with the rapid development of technology makes all human activities more effective and efficient from various fields, especially in the financial sector. One proof of the progress in the application of technological innovation in the financial industry is the cashless payment method. One method of non-cash payment is Quick Response Code Indonesian Standard (QRIS). Bank Indonesia intensively conducts socialization related to QRIS, so that QRIS is increasingly known to the wider public and attracts a larger market. This study aims to analyze the factors of perceived security, perceived behavioural control, and social influence on the behavioural intention of Quick Response Indonesia Standard (QRIS) in gen-Z in Batam City. This study used non-probability samples with purposive sampling method. Purposive sampling is a sampling method that considers certain features to obtain a goal. In this study also using analytical methods carried out in two stages, namely external model analysis and inner model analysis. Outside model evaluation assesses the validity and reliability of indicators of each variable, whereas inner model analysis investigates research hypotheses. For data analysis we use SmartPLS software version 3.0. The results showed that perceived behavioral control significantly affected behavioral intention, peceived security had a significant effect on behavioral intention, and social influence did not have a significant effect on behavioral intention.

Definition and characteristics of climate-adaptive cities: a systematic review

BackgroundCities, as frontline responders to climate change, necessitate a precise understanding of climate-adaptive features. This systematic review aims to define and outline the characteristics of climate-adaptive cities, contributing vital insights for resilient urban planning.MethodsThis systematic review, initiated on March 6, 2018, and concluded on August 26, 2021, involved reviewing multiple electronic databases based on the study's objectives. The Critical Appraisal Skills Program (CASP) tool was used for quality assessment and critical evaluation of articles retrieved through a comprehensive and systematic text search. Descriptive and thematic analyses were conducted to extract definitions, features, and characteristics of climate-adaptive cities.ResultsOut of 6104 identified articles, 38 articles met the inclusion criteria. In total, 20 definitions and 55 features for climate-adaptive cities were identified in this review. Codes were categorized into two categories and ten subcategories. The categories included definitions and features or characteristics of climate-adaptive cities.ConclusionA climate-adaptive city, as derived from the findings of this study, is a city that, through effective resource management, future-oriented planning, education, knowledge utilization, innovation in governance and industry, decentralized management, and low-carbon economy, leads to the adaptability, resilience, sustainability, and flexibility of the capacity of individuals, communities, institutions, businesses, and systems within a city against all climate change impacts and reduces their negative consequences.

중국과 미국의 첨단산업 국제경쟁력 분석에 관한 연구

Purpose - With the acceleration of scientific and technological progress and globalization, the competition in high-tech industry has become increasingly fierce, and China and the United States, as the world's two largest economies, have attracted much attention in the field of high-tech industry. This study analyzes the international competitiveness of high-tech industries targeting China and the United States. Design/Methodology/Approach - MS (Market Share) index, RSCA (Revealed Symmetric Comparative Advantage) index, and TSI (Trade Specialization Index) were calculated for nine high-tech industries in China and the United States. The analysis period was 2010, 2015, and 2020, and the analysis data used data from UN Comtrade and WDI industry statistics. Findings - The analysis shows that China has an advantage over the United States in the computer office machinery, telecommunications, electrical machinery, and chemical industries, while the United States has an advantage in the pharmaceutical, scientific instruments, non-electrical machinery, and military industries. In the aerospace industry, both the United States and China are inferior, but the United States appears to have an advantage over China. Research Implications - The competitive relationship between China and the United States in the field of high-tech industries not only affects the economies of the two countries, it also profoundly influences the world industrial structure and innovation. Therefore, an in-depth study of the international competitiveness of China and the United States in the field of high-tech industries is of great significance.

Textual sentiment analysis and description characteristics in crowdfunding success: The case of cybersecurity and IoT industries

Crowdfunding platforms offer entrepreneurs the opportunity to evaluate their technologies, validate their market, and raise funding. Such platforms also provide technologies with an opportunity to rapidly transition from research to market, which is especially crucial in fast-changing industries. In this study, we investigated how the sentiments expressed in the text of the project campaigns and project characteristics influence the success of crowdfunding in innovative industries such as cybersecurity and the Internet of Things (IoT). We examined 657 cybersecurity and Internet of Things (IoT) projects between 2010 and 2020 that were promoted on Kickstarter and IndieGoGo, two rewards-based crowdfunding platforms. We extracted technological topic attributes that may influence project success and measured the sentiments of project descriptions using a Valence Aware Dictionary and sEntiment Reasoner (VADER) model. We found that the sentiment of the description and the textual topic characteristics are associated with the success of funding campaigns for cybersecurity and IoT projects.