Industry Institutions Research Articles

Computer-aided Numerical Simulation Analysis of Collaborative Innovation within Government-Industry-University-Institute Models Using Evolutionary Game Theory

Collaborative innovation among government, industry, universities, and institutes (GIUI) is an essential approach for achieving national development driven by innovation and enhancing regional competitiveness. However, the existing collaborative innovation faces challenges such as uneven distribution of benefits, unequal risk sharing, and inadequate institutional and policy support. This study harnesses the power of numerical simulation to dissect the complexities of GIUI collaboration, using the evolutionary game theory to construct a payoff matrix. By conducting numerical simulations using the Matlab software program, we identify two asymptotically stable points in the system. Our findings highlight that variables such as the gain coefficient (t) from government engagement with industry and academic institutes, the preferential tax rate (K) offered to industry, and the subsidy (A) invested in academic institutes significantly influence the consensus towards collaborative innovation. Furthermore, our analysis suggests that governments should actively monitor and coordinate the distribution of benefits within complex multi-agent collaborative innovation networks. By taking an active role in ensuring a fair and efficient distribution, governments can directly address the challenges arising from the current framework. This study employs computational methods to offer an advanced approach to understanding and optimizing the dynamics of collaborative innovation within the GIUI framework. By utilizing computer methods such as numerical simulation, we gain valuable insights into the complexities of collaborative innovation and provide a foundation for government decision-making.

Revolutionizing Drug Discovery: Harnessing Machine Learning Algorithms

Drug discovery is a crucial element of biomedical research, with the goal of finding and creating new medical treatments for a variety of illnesses. Yet, the conventional process of finding new drugs is frequently impeded by its intrinsic difficulties, such as expensive expenses, long durations, and poor success rates in trials with patients. Recently, the incorporation of machine learning (ML) algorithms has become a revolutionary method to streamline and improve different phases of drug discovery. This summary offers a glimpse into the rapidly growing area of drug discovery using machine learning algorithms, emphasizing its potential to transform the process of developing treatments. The usual process of discovering drugs involves various stages such as identifying the target, finding lead compounds, conducting preclinical tests, undergoing clinical trials, and obtaining regulatory approval. All these phases require a lot of labor, time, and resources, leading to high attrition rates and limited success in turning potential compounds into approved therapies. Nevertheless, researchers can enhance and speed up crucial parts of the drug discovery process by using ML algorithms. ML algorithms use data to aid in drug discovery by utilizing computational models to examine large quantities of biological, chemical, and clinical data. These algorithms can learn from various types of data, such as genomic data, chemical structures, protein interactions, and clinical outcomes, to discover hidden patterns, find new targets for drugs, and forecast the effectiveness and safety of potential treatments. Moreover, machine learning algorithms allow for the investigation of intricate connections between molecular structures and biological effects, making it easier to create improved drug candidates with better effectiveness and specificity. Important uses of machine learning in pharmaceutical research involve finding and confirming targets, screening compounds and improving leads, repurposing drugs, and tailoring treatments for individuals. Commonly used for classification and regression tasks, supervised learning algorithms like support vector machines and random forests predict compound activity, toxicity, and pharmacokinetic properties. Clustering and dimensionality reduction techniques utilized in unsupervised learning algorithms help analyze vast datasets and discover new drug-target interactions. Advanced abilities for analyzing molecular structures, virtual screening, and designing new drugs are provided by deep learning models like convolutional neural networks and recurrent neural networks. Multiple case studies demonstrate how ML algorithms can significantly impact drug discovery. Collaboration among academia, industry, and research institutions has resulted in the creation of new ML-based methods for drug development, identifying targets, and categorizing patients. Nevertheless, there are challenges accompanying the widespread use of ML in drug discovery. In healthcare, it is crucial to address ethical considerations, regulatory hurdles, and data privacy concerns to ensure the responsible and ethical use of ML algorithms. The potential for transforming drug discovery and therapeutic development is immense with the incorporation of machine learning algorithms. Through utilizing data-driven methods, researchers can speed up the discovery of new potential drugs, enhance the effectiveness of treatments, and ultimately enhance the results for patients. Ongoing innovation, teamwork, and cross-disciplinary studies are crucial to fully leverage the potential of ML in revolutionizing drug discovery and precision medicine.

Improving the Taste of Robusta Coffee by Fermentation with Yeast Inoculum and Its Effect on Caffeine Content

Harvesting coffee process by farmers generally executed entirety, resulting rainbow harvest. Coffee fermentation with yeast starter cultures Saccharomyces cerevisiae Y612, Candida parapsilosis Y207 and Torulospora delbrueckii Y594 was executed separately to determine the role of starter cultures on caffeine and robusta coffee taste at different maturity levels. The study was conducted at the Indonesian Industrial and Beverage Crops Research Institute in Sukabumi,, from June to November 2022. The experiment used a factorial complete randomized design. The first factor was the maturity level of the coffee and starter culture as the second factor. Fermentation was implemented for 48 hours inoculated with 108 cells/mL starter culture. The results showed that the temperature fluctuated, the pH value always decreased to 4.50 and T. delbrueckii was the starter culture with the highest activity during fermentation. Inoculum-fermented robusta coffee caffeine content was higher than non-inoculum. The lowest caffeine content was found in spontaneously fermented red fruit of 1.39%, while the highest caffeine content was produced by red fruit samples inoculated with C. parapsilosis of 2.7%. Robusta coffee with S. cerevisiae inoculation brought the best taste of robusta coffee with 82.10%, there was no significant difference between the red harvest coffee fruit and the fermented rainbow color with a starter culture. Keywords: Caffeine, Harvest, Inoculation, Maturity level, Starter cultures

A Study on Identifying and Addressing the Gaps in Academia and Industry Demands with reference to selective Higher Education Institutions in Telangana State

The industry and Academic institutions are expected to go hand in hand to accelerate the growth of any nation. But unfortunately, there is something that resists the equilibrium of skills needed for the industry and academic excellence. This study is a small attempt of highlights the essential need to recognize and evaluate gaps among the assortment of abilities needed in evolving job environments and the soft abilities and technical abilities obtained by students at colleges and universities. The basic objective is to ensure that educational institutions maintain contemporary with market developments, developments in technology, and appropriate requirements, with a final objective of educating graduates for profitable and significant employment. This objective can be accomplished through employing an integrated technique which involves interviews, questionnaires, and statistical analysis in order to conduct a comprehensive review of present shortcomings regarding both soft as well as technical skills. Discussions with stakeholders, including corporate executives, instructors, and former students, offer vital insight into the ever-evolving requirements of the employment marketplace. Experts anticipate that by completing this investigation, researchers will be able to shed light on components of the educational curriculum that are currently outdated date or fall short of the requirements of industry.

Impact of Safety Management Practices on Safety Performance in Workplace Environment: A Case Study in Iraqi Electricity Production Industry

Organizations are becoming more aware of the need to ensure a safe working environment for their staff. Technological advancements and industrial growth have enhanced efficiency, however, they present new challenges and risks for employees. Accidents remain a concern despite International Labor Organization (ILO) guidelines, governmental bodies, and industry institutions promoting workplace safety. Therefore, it is crucial to evaluate the determinants of workplace safety performance, particularly in the electrical power industry. This study formulates a theoretical model to assess the predictors of safety practices of managers and staff in the Iraqi electricity sector, extending the safety climate model with four external constructs and a moderating variable. Data were collected from 374 participants using an online questionnaire and the PLS-SEM method for analysis. The factor loadings exceeded the recommended value of 0.7 and internal consistencies were greater than the threshold value of 0.8. The findings showed that the safety performance in the Iraqi electric power sector is influenced by safety communication, safety policy, safety control, prevention planning, and safety commitment. Safety commitment is affected by safety policy, prevention planning, control, and communication, while safety training and safety control were found to be insignificant. Furthermore, safety communication had the most significant effect. The results of this study provide some theoretical and practical implications for employees' safety performance toward their overall safety in the electric power industry.

ANALYSIS OF THE STATE OF INNOVATIVE ENTERPRISES IN THE ACADEMIC ENVIRONMENT

In the context of rapidly changing trends in the global economy and accelerating integration processes with the BRICS countries, the development of innovative economies in individual regions of the Russian Federation is acquiring priority importance. One of the main and most important tools for the development of regional economies is supporting the “third mission” of universities through the development of entrepreneurship in the innovation sphere. The most critical mechanism for creating a favorable scientific and academic climate is the intensification of the creation of innovation belts and the formation of innovative enterprises based on higher educational and scientific institutions. The article presents the results of a study of ways to commercialize innovations in various fields of activity. An analysis of the ranking of the best universities in Russia according to RAEX and the number of innovative enterprises formed on their basis was carried out. It was concluded that it is necessary to intensify the processes of commercialization of innovative technologies from the university environment to the industrial sector, and a number of priority tasks were identified in order to transfer knowledge generated in the academic environment. Employees of scientific, educational and industrial institutions can use the presented results in order to select the optimal option for cooperation for the development of innovative developments.

Characteristics and basic rules for environmental management systems (ISO 1400), reality and obstacles of application in Yemeni industrial institutions: a field study in Taiz Governorate

Characteristics and basic rules for environmental management systems (ISO 1400), reality and obstacles of application in Yemeni industrial institutions: a field study in Taiz Governorate

Optimizing Renewable Energy Integration through Innovative Hybrid Microgrid Design: A Case Study of Najran Secondary Industrial Institute in Saudi Arabia

Amidst a growing global focus on sustainable energy, this study investigates the underutilization of renewable resources in the southern region of Saudi Arabia, with a specific emphasis on the Najran Secondary Industrial Institute (NSII). This research presents an in-depth analysis of installing a hybrid microgrid (MG) system on the roofs of NSII buildings, exploring six cases with varying tilt and azimuth angles. The study innovatively integrates architectural design and system administration, a novel approach for this location, and benchmarks the optimal angles against Hybrid Optimization of Multiple Energy Resources (HOMER) software defaults. The proposed system consists of solar photovoltaic (PV) panels, a battery storage system (BSS), a converter, a diesel generator (DG), and a grid. The selected model balances technological and economic viability with environmental considerations, ensuring a reliable power supply within the NSII’s roof area constraints. An extensive sensitivity analysis evaluates the system’s resilience across different scenarios. The current system, which is grid-only, has an estimated Net Present Cost (NPC) of about USD 7.02M and emits 1.81M kg/yr of CO2. The findings point to installing a microgrid with a 20.97° tilt and 50° azimuth angle as optimal, demonstrating 54.69% lower NPC and 92% lower CO2 emissions, along with zero kWh/year unmet electrical load when applying the resilience assessments. This outcome highlights Saudi Arabia’s southern region’s renewable energy potential, aligning with national mega-projects and energy initiatives.

Theory behind an innovative non-disassembly repair technology for assembles in marine, railway, and motor transport, as well as industrial equipment in the Arctic

Tribological compositions on the basis of layered silicates and, specifically, serpentine have been known for over thirty years. Their effectiveness is confirmed by successful application in many industries, in agriculture, on sea and river vessels, on railroads, in mining equipment, on passenger and goods vehicles, as well as by tests conducted at many leading industrial research institutes and universities of the Russian agro-industrial complex. The article presents the theoretical aspects of the technology for applying friction geomodifiers related to innovative nanotechnologies, which enable a significant improvement in the operating characteristics of new, as well as worn-out, expensive equipment containing friction assemblies.The use of the proposed technology for restoring worn-out equipment components under harsh climatic conditions of the Arctic seems particularly feasible and economically justified.

Enhancing seafood traceability: tracking the origin of seabass and seabream from the tuscan coast area by the analysis of the gill bacterial communities

BackgroundThe seafood consumption and trade have increased over the years, and along its expected expansion pose major challenges to the seafood industry and government institutions. In particular, the global trade in fish products and the consequent consumption are linked to reliable authentication, necessary to guarantee lawful trade and healthy consumption. Alterations or errors in this process can lead to commercial fraud and/or health threats. Consequently, the development of new investigative tools became crucial in ensuring unwanted scenarios. Here we used NGS techniques through targeted metagenomics approach on the V3-V4 region of the 16S rRNA genes to characterize the gill bacterial communities in wild-caught seabream (Sparus aurata) and seabass (Dicentrarchus labrax) within different fisheries areas of the “Costa degli Etruschi’’ area in the Tuscan coast. Our challenge involved the possibility of discriminating between the microbiota of both fish species collected from three different fishing sites very close to each other (all within 100 km) in important areas from a commercial and tourist point of view.ResultsOur results showed a significant difference in the assembly of gill bacterial communities in terms of diversity (alpha and beta diversity) of both seabass and seabream in accordance with the three fishing areas. These differences were represented by a unique site -related bacterial signature, more evident in seabream compared to the seabass. Accordingly, the core membership of seabream specimens within the three different sites was minimal compared to the seabass which showed a greater number of sequence variants shared among the different fishing sites. Therefore, the LRT analysis highlighted the possibility of obtaining specific fish bacterial signatures associated with each site; it is noteworthy that specific taxa showed a unique association with the fishing site regardless of the fish species. This study demonstrates the effectiveness of target-metagenomic sequencing of gills in discriminating bacterial signatures of specimens collected from fishing areas located at a limited distance to each other.ConclusionsThis study provides new information relating the structure of the gill microbiota of seabass and seabream in a fishing area with a crucial commercial and tourist interest, namely “Costa degli Etruschi”. This study demonstrated that microbiome-based approaches can represent an important tool for validating the seafood origins with a central applicative perspective in the seafood traceability system.

Industrial Sector Growth and Institutional Quality in Nigeria: Comparative Analyses of Economic, Financial, and Political Institutions

Industrial Sector Growth and Institutional Quality in Nigeria: Comparative Analyses of Economic, Financial, and Political Institutions

Implementation Of Central Aceh Regency Government Policy In Ecotourism Development

The Aceh Tengah Regency ecotourism development policy is based on the Qanun RIPPARDA since 2018-2025. On its way, the development of ecotourism over the past five years has not had a significant impact. The formulation of the problem in this study is how the implementation of the Aceh Tengah regency government policy in the development of ecotourism and what are the obstacles faced by the Aceh Tengah regency government in implementing the policy. The aim in this this research are to find out and explain the implementation of the policy of the Central Aceh district government in the development of ecotourism and provide an overview of the obstacles experienced by the Central Aceh district government in implementing policies on ecotourism development. This research is a qualitative research by applying descriptive analysis method and empirical juridical approach. The results showed that the ecotourism development policy in Central Aceh Regency has not been supported by separate implementing regulations such as regulations within the scope of tourism destinations, tourism industry, marketing and tourism institutions based on the provisions of tourism legislation. Constraints faced in policy implementation include, among others, a regulatory vacuum that has an impact on the emergence of illegal businesses, the non-absorption of local revenue in the field of tourism to the maximum, and the emergence of ecotourism businesses that do not rely on environmental protection, the high cost of licensing administration in the field of environmental impact control and the behaviour of people who are not friendly to tourists

Credit Cars: Or How I Learned to Stop Worrying and Love Auto Loans

Drawing on trade publications, contemporaneous newspaper stories, and other historical sources from the early twentieth-century United States, this article explains how installment plans overcame moral and business concerns to become the standard way people bought cars. Prominent figures in the automobile industry and financial institutions initially denounced the idea of selling cars on credit, and many banks declined to extend credit to would-be auto buyers. However, the relevant legal infrastructure heavily favored creditors, allowing them to circumvent usury laws and guaranteeing their right to repossess assets if borrowers missed payments. When the profit-making that these aspects of the law enabled became clear, moral objections to the idea of selling cars on credit yielded to a new moral consensus among powerful actors that valorized buying cars on credit and concentrated disapprobation on just those borrowers who defaulted on their payments. Thus, the characteristics of the legal infrastructure functionally presupposed the resolution of the erstwhile debate about the fundamental morality of selling cars on credit. Ultimately, lending practices building on the legal and moral foundation established in the early twentieth century led to the establishment of subprime auto lenders whose business model revolves around exorbitant interest rates, high fees, and aggressive repossession.

Revealing the Supply Chain 4.0 Potential within the European Automotive Industry

With the rapid advancements in Information and Communication Technologies (ICT) and the widespread enthusiasm of both theoreticians and practitioners, the broader transition to Industry 4.0 (I4.0) in major industries appears imminent. This empirical study analyzes business data from 1140 automotive companies operating in Europe, utilizing various business intelligence platforms and employing decision tree analytics to establish connections between enablers, drivers, company size, and financial resources. The goal is to identify persistent barriers hindering the rational transition to Industry 4.0. The findings reveal an uneven transformation within the industry nexus. While larger companies possess the financial means to allocate collective intelligence, technical resources, and drive necessary for fulfilling I4.0 requirements, smaller members of the nexus lag behind despite their enthusiasm and intent. This imbalanced evolution poses a threat to the comprehensive transformation required for realizing all the benefits of Industry 4.0 within the sector. The primary discovery indicates that small to medium-sized enterprises do not exhibit the same rates of Industry 4.0 adoption, a lag highly correlated with their available financial and human resources for digital transition. The decision tree proposed in this study offers guidelines for achieving an Industry 4.0-compliant nexus. Given its diversity and substantial global impact, the case study from the automotive industry proves intriguing and may later be generalized to other sectors. The study’s outcome could empower engineering managers and researchers to implement, execute, and assess the impact of digital strategies based on the financial capabilities of industrial institutions.

Voices Unheard: Enhancing English-Speaking Skills among Technical Learners at Industrial Training Institute by Implementing Task-Based Language Teaching

ITIs offer practical training in various technical trades, which enables students to enter the workforce faster than other traditional degrees. However, graduates from ITIs often need better communication skills to advance in their careers, leading to stagnant pay scales. To tackle this issue, a study was conducted to improve English-speaking skills among ITI students by implementing a task-based language teaching approach. A true experimental design was used for this study. The sample consisted of 76 ITI students who were randomly assigned to two groups: control (n=38) and experimental (n=38). Technical learners were given ample opportunities to practice their English-speaking skills and receive instructors feedback. The study showed significant improvement in the student’s ability to communicate professionally. This study suggests that incorporating task-based language teaching into the ITI curriculum can significantly benefit students by enhancing their employment prospects and potential for career growth. Since the allocated tasks replicate the practical training, technical learners perceive them as readily achievable.

Weathering intermediated temporary labour mobility: social partners in Central and Eastern Europe after EU enlargement

This article highlights the growing significance of intermediated temporary labour mobility, and how it has put further pressure on industrial relations institutions in Central and Eastern Europe since EU enlargement. The social partners’ modest regulatory role has been further challenged and reconfigured by the spread of labour market intermediaries. In their struggle to maintain a degree of regulatory influence in the face of unilateral government regulation and the dominance of intermediaries, social partners have shifted their positions between entrenched consent and antagonism and/or protagonism. Our two case studies of Hungarian temporary agency work in metal manufacturing and posted workers in Slovenian construction show similar labour market pressures on sectoral industrial relations in the two countries, but different responses by social partners, indicating different prospects for national industrial relations. The state has retained the decisive regulatory role in both cases, but the Slovenian social partners, in contrast to their Hungarian counterparts, still have some regulatory influence.

Reviewing the advancements in offshore drilling technologies in the USA and their global impact

This study provides an overview of the significant advancements in offshore drilling technologies within the United States and their consequential global impact. As the world's leading innovator in the energy sector, the USA has played a pivotal role in shaping the future of offshore drilling, pushing the boundaries of technological capabilities and fostering sustainable practices. The review begins by highlighting the evolution of offshore drilling technologies in the USA over the past decade. Innovations such as advanced drilling rigs, smart sensors, and real-time data analytics have revolutionized the industry, enhancing operational efficiency, safety, and environmental sustainability. These technological breakthroughs have not only increased the depth and reach of offshore drilling but have also significantly reduced exploration risks and minimized the environmental footprint. The global impact of these advancements is explored, emphasizing the ripple effect on international energy markets, geopolitical dynamics, and environmental stewardship. The USA's expertise in developing cutting-edge technologies has been instrumental in influencing global industry standards and best practices. International collaborations, knowledge exchange, and technology transfer have facilitated the adoption of these advancements in offshore drilling practices across the globe. Furthermore, the study addresses the role of regulatory frameworks and industry collaborations in shaping the trajectory of offshore drilling technologies. The USA's commitment to stringent safety and environmental regulations has set a benchmark for responsible offshore exploration, influencing other nations to implement similar standards. The study concludes by highlighting the future prospects and challenges in offshore drilling technologies. As the energy landscape continues to evolve, the USA remains at the forefront of research and development, driving innovation towards cleaner, more efficient, and sustainable offshore drilling solutions. The ongoing collaboration between industry stakeholders, government bodies, and research institutions is crucial for addressing emerging challenges and ensuring the continued positive global impact of USA's advancements in offshore drilling technologies.

Industrial relations, the New Right and the praxis of mismanagement

PurposeThe purpose of the article is to outline the insights provided by Alan Fox in Man Mismanagement in relation to the rise of the New Right political economy and the spread of unitarist managerialism. The article assesses the contemporary work and employment relations implications of mismanagement arising from a “second wave” of the New Right ideology from 2010 in the UK.Design/methodology/approachResponding to the Special Issue on Alan Fox, the article focuses on Alan Fox's book Man Mismanagement, considering industrial relations developments arising between the 1st (1974b) and 2nd (1985) editions relating to the political rise of the New Right. It reviews various literature that illustrates the contemporary IR relevance of the book and Fox's insights.FindingsThe New Right’s ideology has further fragmented work, disjointed labour rights and undermined collective industrial relations institutions, and macho mismanagement praxis is even more commonplace, compared to when Fox wrote Man Mismanagement. The stripping away of the institutional architecture of IR renders the renewal of pluralist praxis, like collective bargaining and other forms of joint regulation of work, a formidable task.Originality/valueThe value of the article relates to the identification of dramatic historical industrial relations events and change in the UK in Alan Fox's book Man Mismanagement, most notably relating to the rise to power of the Thatcherite New Right in 1979. Originality is evidenced by the authors’ drawing on Fox's ideas and assessing the implications of the “second wave” of the New Right in the contemporary industrial relations (IR) context of the 2020s under the conceptual themes of fragmented work, disjointed labour rights and undermined collectivism.

Application of Interactive Teaching Method in Digital Media Technology Teaching in Chengdu, China

Background and Aim: This study explored the influences on the intention of undergraduate students majoring in digital media technology to participate in interactive teaching methods in three of the most representative universities in Sichuan Province. The objective of the research is to determine the extent to which each variable influences the use of interactive teaching methods. The latent variables investigated in the study include social influence (SI), trust (TR), perceived usefulness (PU), perceived ease of use (PEOU), attitude (AT), behavioral intention (BI), and usage behavior (UB) of interactive teaching methods. The population of the research is freshmen to Juniors of digital media technology departments from three target universities, namely Chengdu University, Chengdu Institute of Technology, and Sichuan Institute of Industry and Commerce. The 504 samples were proportionally drawn from the mentioned three universities. Materials and Methods: In this paper, a total of 504 data were collected through questionnaires, and data were analyzed using the Structural Equation Model. Results: The results of the data analysis found that the effects of perceived usefulness and trust on attitude were not significant, and all other hypotheses were verified. Among them, perceived ease of use had the greatest effect on attitude. Conclusion: For undergraduate digital media technology students to recognize and use interactive teaching methods, university administrators and teaching staff need to simplify the interactive teaching process and pay attention to the factors that have a significant effect on behavioral intentions.

Is labour migration disrupting dual vocational education and training systems? Empirical evidence from the Danish and Norwegian construction sectors

This article studies how labour migration affects dual vocational education and training (VET) systems. We argue that because dual VET systems rely on employers engaging in training, an alternative source of labour – such as labour migrants – may make employers less likely to train, especially when pressure on industrial relations institutions makes it possible for employers to use migrant labour as low-wage labour. Drawing on linked employer-employee register data from Denmark and Norway, we us logistic and Poisson regression to analyse whether changes in the level of labour migration in regional subsectors of the construction sector in these two countries affects firms’ hiring of apprentices. We find that despite dissimilar developments in the labour migration level, these levels nonetheless correlate with the intake of apprentices in both countries. The results suggest that labour migration into countries with dual VET systems may have long-term effects on their skill formation systems.