Technology Initiative Research Articles

Measures for Investment Risk Management of Enterprise Technological Innovation Projects

Enterprise technological innovation project investment risk management refers to the enterprise taking a series of measures to manage and control possible investment risks when making technological innovation project investment decisions. Investment risks in technological innovation projects refer to various risks that may have a negative impact on investment due to the uncertainty of technological innovation and changes in the market environment. This article, from an industry professional perspective, analyzes and discusses measures for investment risk management of corporate technological innovation projects.

Assessment of the pathogen genomics landscape highlights disparities and challenges for effective AMR Surveillance and outbreak response in the East African community

The East African Community (EAC) grapples with many challenges in tackling infectious disease threats and antimicrobial resistance (AMR), underscoring the importance of regional and robust pathogen genomics capacities. However, a significant disparity exists among EAC Partner States in harnessing bacterial pathogen sequencing and data analysis capabilities for effective AMR surveillance and outbreak response. This study assesses the current landscape and challenges associated with pathogen next-generation sequencing (NGS) within EAC, explicitly focusing on World Health Organization (WHO) AMR-priority pathogens. The assessment adopts a comprehensive approach, integrating a questionnaire-based survey amongst National Public Health Laboratories (NPHLs) with an analysis of publicly available metadata on bacterial pathogens isolated in the EAC countries. In addition to the heavy reliance on third-party organizations for bacterial NGS, the findings reveal a significant disparity among EAC member States in leveraging bacterial pathogen sequencing and data analysis. Approximately 97% (n = 4,462) of publicly available high-quality bacterial genome assemblies of samples collected in the EAC were processed and analyzed by external organizations, mainly in Europe and North America. Tanzania led in-country sequencing efforts, followed by Kenya and Uganda. The other EAC countries had no publicly available samples or had all their samples sequenced and analyzed outside the region. Insufficient local NGS sequencing facilities, limited bioinformatics expertise, lack of adequate computing resources, and inadequate data-sharing mechanisms are among the most pressing challenges that hinder the EAC’s NPHLs from effectively leveraging pathogen genomics data. These insights emphasized the need to strengthen microbial pathogen sequencing and data analysis capabilities within the EAC to empower these laboratories to conduct pathogen sequencing and data analysis independently. Substantial investments in equipment, technology, and capacity-building initiatives are crucial for supporting regional preparedness against infectious disease outbreaks and mitigating the impact of AMR burden. In addition, collaborative efforts should be developed to narrow the gap, remedy regional imbalances, and harmonize NGS data standards. Supporting regional collaboration, strengthening in-country genomics capabilities, and investing in long-term training programs will ultimately improve pathogen data generation and foster a robust NGS-driven AMR surveillance and outbreak response in the EAC, thereby supporting global health initiatives.

Application of Innovations in Technical and Technological Updating of Ensuring the Security of Employees Databases of Engineering Enterprises: A Parallel-Vertical Approach to Optimizing Personnel Management

The main purpose of the article is to present a modern method of parallel-vertical data security, which, thanks to the counting of units in the i-th input bit slice and the parallel formation of the i-th bit slice of a sorted array of numbers, reduces the protection time. The object of the study is the personnel database of an engineering company. The research methodology involves the use of parallel sorting methods for the development of technical and technological means for ensuring the security of data arrays, methods for parallel search for maximum and minimum values for the development of hardware and software tools for searching for maximum and minimum values. The practical aspect of the obtained results lies in the development of technologies for parallel sorting and retrieval of data in real time with high efficiency in the use of equipment. A hardware structure is presented for simultaneous parallel-vertical search for maximum and minimum numbers to increase the speed of ensuring the security of personnel databases. The innovativeness of the results obtained lies in the schematic representation of the proposed approach to application. The diagrams themselves are the author's vision. The structure of a parallel-flow device for ensuring the security of a two-dimensional array of numbers using the displacement method is presented. In our opinion, such a technical-technological update will serve as an innovation in the context of the security of personnel databases of an engineering company.

An Empirical Study on the Promotion of Enterprise Technology Innovation by Vocational Education

Based on the adaptation theory, this paper constructs an evaluation system for how vocational education promotes technological enhancement in enterprises from four aspects: talent training process, talent training quality, school-enterprise cooperation and enterprise technology improvement. Through correlation analysis and regression analysis, the paper establishes a demand-supply matching model for this evaluation system based on adaptation theory. This paper presents an empirical study of relevant data from six vocational colleges in Liaoning Province to examine how these colleges contribute to technological enhancement in enterprises. Research has shown that the three independent variables of talent cultivation process, talent cultivation quality, and school enterprise cooperation in vocational education have a significant impact on enterprise technological innovation and improvement. Based on the results, this paper discusses the findings and offers specific recommendations.

Unlocking green potential: The digital government-driven revolution in corporate green innovation

This study leverages data of China's A-share listed companies spanning from 2010 to 2020, using the Internet Plus Government Services initiative as a quasi-natural experiment. By employing the difference-in-differences method, it empirically examines the empowering effects and underlying mechanisms of digital government on corporate green innovation. Research findings are as follows: 1) Digital government significantly enhances both the quantity and quality of corporate green innovation. 2) Corporate green innovation can be enhanced by digital government through promoting the digitization of the business environment, reducing transaction costs for enterprises, increasing R&D investment and green investments. 3) The enabling effects of digital government on corporate green innovation are particularly evident in companies with better environmental information disclosure, elevated levels of digital technology application, non-heavy-polluting industries, and enterprises located in regions with stricter environmental regulations. From the perspective of internalizing digital technology into government transformation, this study provides important insights for the future coordination of policies related to digital and green development.

Theoretical aspects of innovative technologies in pig production

In the context of the globalization of the economy, the development of pig breeding enterprises is possible based on the highly efcient production of livestock products. A constraining factor for development is the lack of innovative technologies in most enterprises and the insignifcant impact of the introduction of innovative activities on improving production efciency. There is an important need to implement innovative transformations that would improve the economic performance of pig breeding enterprises, saturate the market with domestically produced products, and satisfy the social demand for cheap pork. The innovative model of pig production development ensures the competitiveness of enterprises in the industry, increases the level of food security of the state, and helps to solve problems related to environmental pollution and uncontrolled use of various additives in pork production. These issues necessitate substantiation of approaches to innovative development of enterprises in the pig industry and improvement of their efciency. The experience of domestic enterprises and foreign pork producers shows that in times of economic instability, it is important to be prepared for changes in the meat market. Such readiness is ensured by the planning and implementation of innovative approaches to the pig industry at enterprises. The innovative activity of enterprises in modern conditions should be aimed at social and economic satisfaction of the population's needs and environmental safety. The article focuses on theoretical and methodological aspects of the innovative development of the pig industry. The issues of modern technologies, innovations, and innovative activity are highlighted, and the defnition of "innovative development of enterprise" is analyzed. The article analyses the direction of development of competitive pig farms, taking into account the level of technological development of production and changes in the market share of enterprises. A special approach to the formation of the development of pig enterprises based on the transition to an innovative model of ensuring their competitiveness and modernisation of production according to the criteria that meet the capital replenishment, satisfaction of market demand for pork, and a slight negative environmental impact on the environment is noted. Key words: innovations, innovative activity, innovative development of pig breeding enterprises, economic indicators, innovative approaches, pork market, food security, environmental pollution, environmental safety.

Towards Promoting the Efficiency of Enterprise Investment Management with Artificial Intelligence

With the continuous development and optimization of artificial intelligence, enterprises have begun to pay attention to the use of artificial intelligence for the optimization of work and the improvement of efficiency, and in the management of enterprise investment, a number of companies have begun to use a large number of artificial intelligence technologies in the integration and analysis of data, information processing and analysis, risk management, efficiency improvement, and so on. Enterprises encounter problems in analyzing data and information in investment management, and problems in risk management, all of which affect the improvement of their investment returns. Enterprises face a huge amount of data in the process of investment management, it is difficult to calculate a large number of data models in a relatively short period of time, and it is impossible to analyze and extract more information. In the face of investment risk, the control of risk in the past investment process is more based on experience to judge, there is a great deal of subjective assumptions in risk avoidance. And in the investment process companies also want to increase returns, improve efficiency, avoid risk, and achieve a more automated and intelligent trading process. Enterprises need to use artificial intelligence to technically solve the problems of data aggregation, arithmetic, and analysis; use artificial intelligence to optimize the problem of processing large amounts of information; use artificial intelligence technology to enhance risk management and predictive analysis, strengthen intelligent decision-making and portfolio optimization, and provide insights into big data analysis and market trends. The wide application of artificial intelligence technology in enterprises also has a certain impact on the development of enterprises, and it has a certain impact on the planning, feasibility, whole-process control, investment evaluation, investment report, and investment efficiency of investment in the investment link, which makes it widely concerned in the society and in enterprises.

Empirical Study on The Relationship Between Digitization and Industrial Innovation--Taking Wuhan New Display Industry as An Example

This study explores the empirical relationship between virtual agglomeration and industrial innovation in the context of digitalization, taking Wuhan's new display industry as an example. Firstly, the key concepts of digital industrialization, industrial digitization and enterprise technology innovation are clearly defined, and the research framework is constructed on this basis. The rationality and reliability of the model are verified by constructing a VAR model and adopting methods such as unit root test and Granger causality test. The empirical results show that digital industrialization is self-promoting, industrial digitization is independent and subject to external influences, and enterprise technological innovation has complex dynamic responses. Based on the empirical results, it is proposed that the government should strongly support the application of digital technology in traditional industries, promote the internal digitization of industries, and actively promote the construction of technological innovation platforms. The research in this paper helps to deeply understand the regularity of industrial development in the context of digitization, and provides an important reference for the transformation and upgrading of new display industry in Wuhan.

Impacto de la tecnología en la productividad de emprendimientos rurales en el cantón la Troncal

Technological progress has revolutionized business management, impacting the productivity and competitiveness of companies. However, in rural sectors of Canton La Troncal, this progress is uneven due to challenges such as lack of access to resources and services. In this sense, the purpose of this work is to analyze the impact of technology as an element of business management on the productivity of enterprises in the rural sectors of Canton La Troncal. A quantitative study was developed with a non-experimental, exploratory and descriptive design; a structured survey was designed with a comparative Likert scale, validated under Cronbach's coefficient, which obtained a value of 0.88, which supports its applicability. The study reveals that technology is widely adopted in rural enterprises in La Troncal, improving business management and productivity. A positive relationship was found between the use of technology and productivity. Taking into consideration that training, strategic investment, continuous integration, collaboration and constant monitoring are important factors for its progress. This study contributes to fill the knowledge gap on the relationship between technology and productivity in rural enterprises and provides recommendations for improvement.

Machine Learning and Fama-French Three-Factor Model Applications for Analyzing Stock Price in Technology Enterprises

This study endeavors to forecast the stock prices of the leading U.S. technology entities - Google, Microsoft, Amazon, Meta, and Apple - through the application of diverse machine learning models, complemented by the traditional Fama-French three-factor model. The employed models encompass Convolutional Neural Networks (CNN), Long Short-Term Memory Networks (LSTM), Support Vector Machines (SVM), and Decision Tree models. Initially, historical stock price data is utilized to train these machine learning models, enabling the identification of potential price trends. Subsequently, the integration of the Fama-French three-factor model enhances the analysis by scrutinizing the impacts of market risk, company size, and book-to-market value on stock prices. The outcomes illuminate both the effectiveness and limitations of various models in stock price prediction, highlighting the advantages of machine learning methodologies over traditional financial theories. This research provides financial market analysts and investors with a fresh perspective on the amalgamation of machine learning and traditional financial theories for enhanced stock price prediction.

Exploring the Feasibility of Deploying Technology Enhanced School-Based Teacher Continuous Professional Development in Internet-Limited Environments in Tanzania

In low-income countries, the use of technology to enhance teacher continuous professional development (TCPD) activities has been increasing significantly. However, most technology initiatives related to TCPD require the installation of complex information and communications technology (ICT) infrastructure in schools or availability of reliable Internet connectivity. While installation of ICT infrastructure is costly, the cost of the Internet is unaffordable to most teachers in low-income countries. This study explored the feasibility of deploying Raspberry Pi computers and tablets as micro-servers to facilitate school-based TCPD activities via a learning management system (LMS) without Internet connectivity. Teachers in eight schools in Dar es Salaam and Lindi accessed a TCPD sample module with Raspberry Pi and tablets providing hotspotting and treated as offline local servers hosting a LMS. After the trial, data was collected through focus group discussion, observation, and LMS logs involving 69 teachers. The findings showed that both Raspberry Pi and tablets could be used as micro-servers to provide access to learning resources in offline environments, but Raspberry Pi fared more favorably. Raspberry Pi was easy to set up and connected more devices than did the tablet. However, Raspberry Pi required careful handling as it is a delicate device. Interestingly, there was no significant difference in terms of the performance and cost of the two micro-servers. This study provided further evidence that both Raspberry Pi and tablets could be cost-effective approaches to deliver TCPD activities without installing complex ICT infrastructure or in areas with limited Internet connectivity.

Application of Artificial Intelligence in the Restaurant Business

Actuality. Nowadays, the development of artificial intelligence affects the activities of all human life spheres, and the restaurant business as well. It can be explained by the fact that restaurant business enterprises are very sensitive to changes in the environment, and they need to constantly improve their activities for competitive functioning. It is artificial intelligence that will allow to work effectively in the market of restaurant services, influencing the demand and increasing the income. Therefore, the topic of application and implementation of artificial intelligence in restaurant business enterprises is relevant. The aim of the article is to substantiate the essence of the “artificial intelligence” concept, identify its advantages and disadvantages, as well as the possibility of its application in restaurant business establishments. Research methods: abstract-logical (when systematising information sources on application and implementation of artificial intelligence), argumentative (when setting a study problem and formulating scientific novelty), descriptive (when interpreting terms), analysis and logical generalisation (when considering advantages and disadvantages of AI application), conclusion (when describing AI application in different processes of enterprise activity), generalisation (when making research conclusions). Results. A few basic concepts of “artificial intelligence” are described in this article, as well as their interpretation is presented by the author. The article describes. The testimonial of different types of artificial intelligence is given. The advantages and disadvantages of using AI in the restaurant business are highlighted. The importance of using artificial intelligence technologies for restaurant business enterprises is proven. Conclusions and discussion. It is offered to apply AI in the following processes of restaurant business enterprises: order formation, customer service, personnel selection, maintenance and equipment of the establishment, purchase of raw materials and products, planning the activities of the enterprise structural partitions, marketing and advertising. The main advantages of using artificial intelligence in the restaurant business are such: reducing production waste, optimising the production process, improving the quality of customer service, increasing the income. The scientific novelty of the study consists in the analysis of using the artificial intelligence system in different activity processes of service sector enterprises, which will contribute to the efficiency of restaurant business enterprises.

System dynamics applied in enterprise engineering – a systematic literature review

Purpose This study aims to investigate the combined use of System Dynamics (SD) applications in Enterprise Engineering (EE) research and practice. SD application in EE is becoming widely accepted as a tool to support decision-making processes and for capturing relationships within enterprises. Design/methodology/approach A systematic literature review (SLR) is conducted using a standard SLR method to provide a comprehensive review of existing literature. The search was conducted on ten platforms identifying 30 publications which were analysed through the use and development of a codebook. Findings The SLR showed that 90% of the result set consisted of peer-reviewed academic conferences and journal papers. The SLR identified a highly dispersed author set of 83 authors. Amongst these authors, Vinay Kulkarni was an active author who has co-authored up to four publications in this research area. The analysis further revealed that the combined use of SD applications and EE is an emerging research area that still needs to develop in maturity. While all phases of EE have received attention, the current research work is more focused on the design phase. The important gap between model development and implementation is identified. Originality/value The study elucidates the existing status of interdisciplinary research combining techniques from the SD and EE disciplines, suggesting future research topics that combine the strengths of these existing disciplines.

Semesters Simplified: A Comprehensive Approach to Academic Management

The "Semesters Simplified" project addresses challenges in academic management at Dr. A.P.J. Abdul Kalam Technical University (AKTU) by introducing a dedicated website and mobile application. This technological initiative aims to streamline information dissemination, enhance communication, and foster an engaging learning environment for both students and educators within semester-based academic structures. Grounded in educational technology principles, the project prioritizes user engagement, personalized learning, and inclusivity. The chosen technology stack employs modern tools for front-end and back-end development, ensuring a seamless and responsive user experience. The methodology encompasses needs analysis, user-centric design, development, testing, deployment, and continuous improvement. The proposed facilities, spanning software and hardware requirements, are crucial for the project's success. The literature review provides a solid foundation, aligning the project with established principles and best practices in educational technology. Ultimately, "Semesters Simplified" aspires to contribute significantly to the advancement of academic management, fostering accessibility, engagement, and inclusivity at AKTU.

Forecasting municipal solid plastic waste generation and management policy using system dynamics: a case study of Khulna City in Bangladesh

A comprehensive analysis of municipal solid plastic waste (MSPW) management while emphasizing plastic pollution severity in coastal cities around the world is mandatory to alleviate the augmenting plastic waste footprint in nature. Thus, decision-makers’ persuasion for numerous management solutions of MSPW flow-control can be met through meditative systematic strategies at the regional level. To forecast solutions focused on systematic policies, an agent-based system dynamics (ASD) model has been developed and simulated from 2023 to 2040 while considering significant knit parameters for MSPW management of Khulna City in Bangladesh. Baseline simulation results show that per-capita plastic waste generation will increase to 11.6 kg by 2040 from 8.92 kg in 2023. Eventually, the landfilled quantity of plastic waste has accumulated to 70,000 tons within 18 years. Moreover, the riverine discharge has increased to 834 tons in 2040 from a baseline quantity of 512 tons in 2023. So the plastic waste footprint index (PWFI) value rises to 24 by 2040. Furthermore, the absence of technological initiatives is responsible for the logarithmic rise of non-recyclable plastic waste to 1.35*1000=1350 tons. Finally, two consecutive policy scenarios with baseline factors such as controlled riverine discharge, increased collection and separation of plastic waste, expansion of recycle business, and locally achievable plastic conversion technologies have been simulated. Therefore, policy 2, with 69% conversion, 80% source separation, and 50% riverine discharge reduction of MSPW, has been found adequate from a sustainability perspective with the lowest PWFI ranges of 3.97 to 1.07 alongside a per-capita MSPW generation of 7.63 to 10 kg from 2023 till 2040.Graphical abstract

Research on the Impact of Environmental Protection Tax on Green Technology Innovation of Enterprises

Research on the Impact of Environmental Protection Tax on Green Technology Innovation of Enterprises

Innovation-Driven Stock ValuationThe Influence Mechanism of R&D Investment in China Stock Market

Scientific and technological innovation plays a vital role in the development of enterprises and national economic growth. Stock valuation reflects the capital market's recognition of enterprises, and whether technological innovation can promote the improvement of enterprise stock valuation needs to be empirically tested. Therefore, this study selects listed companies in Shenzhen and Shanghai Stock Exchange from 2017 to 2022 as samples to explore the impact of technological innovation on stock valuation through empirical tests. The results show that technological innovation has a positive impact on stock valuation. The research in this paper not only enriches the relevant literature of technological innovation and enterprise valuation, but also has important reference value for enterprise management and guiding investors to rational investment.

Evolutionary game analysis on cross-border cooperative R&D of intelligent new energy vehicle industry

PurposeIntelligent new energy vehicles (INEVs) are becoming the competitive hotspot for the automobile industry. The major purpose of this study is to determine how to increase innovation efficiency through knowledge sharing and technology spill between new energy vehicle (NEV) enterprises and technology enterprises. This will help to improve the core competence of the automobile industry in China. Also, it serves as a guide for the growth of other strategic.Design/methodology/approachThe authors construct a tripartite evolutionary game model to study the cross-border cooperative innovation problem. Firstly, the payment matrix of NEV enterprise, technology enterprise and government is established, and the expected revenue of each participant is determined. Then, the replication dynamic equations and evolutionary stability strategies are analyzed. Finally, the theoretical research is validated through numerical simulation.FindingsResults showed that: (1) An optimal range of revenue distribution coefficient exists in the cross-border cooperation. (2) Factors like research and development (R&D) success rate, subsidies, resource and technology complementarity, and vehicles intelligence positively influence the evolution towards cooperative strategies. (3) Factors like technology spillover risk cost inhibit the evolution towards cooperative strategies. To be specific, when the technology spillover risk cost is greater than 2.5, two enterprises are inclined to choose independent R&D, and the government chooses to provide subsidy.Research limitations/implicationsThe research perspective and theoretical analysis are helpful to further explore the cross-border cooperation of the intelligent automobile industry. The findings suggest that the government can optimize the subsidy policy according to the R&D capability and resource allocation of automobile industry. Moreover, measures are needed to reduce the risk of technology spillovers to encourage enterprise to collaborate and innovate. The results can provide reference for enterprises’ strategic choice and government’s policy making.Originality/valueThe INEV industry has become an important development direction of the global automobile industry. However, there is limited research on cross-border cooperation of INEV industry. Hence, authors construct a tripartite evolutionary game model involving NEV enterprise, technology enterprise and the government, and explore the relationship of cooperation and competition among players in the INEV industry, which provides a new perspective for the development of the INEV industry.

What Attracts Green: Value Differentiation of Environmental Industry and Coagglomeration with Pollution-Intensive Industries in China

Scholars have spent decades studying how environmental (“green”) industry can promote sustainability. Few studies, however, have discussed corporate dynamics within green industry and their spatial interactions with other manufacturing and service industries. Drawing on the theoretical perspective of industrial value chain differentiation, this study unpacks the spatiotemporal dynamics of environmental enterprises by various types in China. We use the Wasserstein coagglomeration index and Poisson regression to identify the spatial coagglomeration of green and pollution-intensive (“brown”) industries. The results show that (1) China’s environmental industry is still in the early and middle stages of development with low and medium added value as the core; (2) green enterprises are mainly distributed in the eastern coastal areas and a few inland provinces with developed infrastructure; and (3) the entry and spatial distribution of equipment and engineering enterprises are highly correlated with local brown industries, whereas high-end service enterprises tend to concentrate in economically developed urban agglomerations. This research hopes to reveal the spatial characteristics of environmental industry in the regional green transition through the decomposition of its value chain and the analysis of the spatial coagglomeration effect.

Optimizing the use of intangible assets in industry to overcome poverty: a cross-country analysis

The article focuses on the description and utilization of intangible assets (IA), particularly in industry, as a means of alleviating poverty. The authors examine the experiences of European countries, as well as Ukraine and Kyrgyzstan, and evaluates existing approaches to granting access to intangible assets following international law. Given that only 40% of the global population has access to the Internet and participates in the digital economy, addressing inequality in this realm is a pressing global issue recognized by the G20. Economic inequality, defined in economic theory as the gap between the rich and the poor in terms of income, wealth, education, employment, and living standards within and across countries and regions, will be considered in this article as a disparity in economic well-being indicators. Generally, it is noteworthy that intangible assets (hereinafter referred to as the IA) are crucial, enabling enterprises to develop. They serve as primary indicators of technological progress and enterprise development, reflecting its innovative direction. Consequently, the accounting and auditing of IA play a vital role in industrial enterprises in Ukraine. However, insufficient legislative frameworks in post-Soviet countries, notably Kyrgyzstan, hinder the ability of intangible assets to contribute to poverty alleviation. The income distribution in these countries, which is closely linked to the issue of inequality, is viewed in a positivist theoretical framework from a functional perspective, specifically as the allocation of income among the principal factors of production. Changes in poverty levels in post-Soviet countries can also be attributed to investments in intangible assets that benefit households. Possessing social capital in the form of quality education, health, or land can lead to more favorable earning prospects and can function as intangible capital. One notable characteristic of industry in post-Soviet countries is its urban concentration, which can be attributed to the presence of individuals with more valuable intangible assets in urban areas.