Information Technology Innovation Research Articles

Integration of biotechnology and information technology for healthcare innovation

This review explores the integration of biotechnology and information technology in healthcare innovation. The convergence of these fields has revolutionized diagnostics, therapeutics, and patient management. Biotechnology advancements, such as genomics and molecular diagnostics, enable personalized medicine, while information technology facilitates data management and analysis. The integration also extends healthcare access through telemedicine and remote patient monitoring, enhancing healthcare delivery in underserved areas. Challenges include data security and privacy concerns. Looking ahead, the integration of biotechnology and information technology holds immense potential for further healthcare innovation, transforming patient outcomes and healthcare delivery.

Present Situation and Risk of SC Management in Household Appliance Enterprises

A spare part is gradually produced and processed to form the final product for sale, the process of selling to consumers through online and offline means is called the SC. Its surface meaning is from merchants to consumers and from goods to income. As a daily necessity, household appliances have become one of indispensable elements in our life. With the development and innovation of information technology, there are numerous ways to buy home appliances. At present, the rapid development of science and technology has gradually promoted economic integration and economic globalization, and the economic competition of enterprises has gradually tended to SC competition. Due to the development of manufacturing, procurement and division of labor, the complex structure of the SC structure is increasing. In the meantime, the global impact of the epidemic in 2020 makes the SC of most household appliance enterprises face the risk of stagnation. In this social and economic context, information transmission risk and logistics operation risk have become the main reasons for the occurrence of enterprise financial risk. In order to survive, enterprises must seek new management techniques and methods to deal with the occurrence of risks. This paper will take the household appliance industry as an example, under the trend of SC localization, through systematic theoretical research to summarize and analyze the common supply risk factors and countermeasures of home appliance enterprises.

Review of the techniques and mechanisms for enhancing trust in internet of things for smart agriculture

Smart agriculture is an emerging technology that has been developed from innovative information technologies such as AI, IoT, ML, smart vehicles in order to maximize outputs while optimizing farm inputs for better production and profit. However, these innovations have several vulnerabilities, especially, given that most of agriculture is practiced in open fields, exposed to harsh, unprotected environments. Studies have been conducted on its security issues and how to mitigate the threats from the vulnerabilities along with some studies in data privacy in smart agriculture. However, studies on trust issues of farmers on these technologies are absent. This paper looks at the security issues and how they impact on farmers’ trust on these technologies. It finally offers direction on hoe to enhance their trust on the smart farming technologies.

Agricultural products price prediction based on improved RBF neural network model

ABSTRACT The agricultural products price has been affecting people’s livelihood issues and economic and social security and stability. The cyclical fluctuation of the price of agricultural products often indirectly affects the inner psychological demand of agricultural consumers. If the prices of production and processing industries, which rely on cheap raw materials as basic raw materials, are subject to frequent and abnormal fluctuations, it is likely to cause further widespread concerns about people’s lives, and ultimately lead to a vicious cycle of falling commodity prices. In recent years, as a result of lack of timely authoritative information all the time, the market price of agricultural products appeared a lot of varieties before short-term rise and fall repeatedly phenomenon. This paper attempts to take the quantity of garlic produced and sold by pork in China as the key object of analysis and research, and analyzes the level of market price index and the main factors influencing the price of pork sales and edible garlic demand in China in recent ten years. In information economics, financial market theory, statistical methods and other relevant mathematical model as the main guidance, combined with China’s agricultural prices during the period of policy, select the RBF neural network theory and the analysis methods for technical improvements, in a variety of market factors affecting economic operation under the mixed operation China period in our country agricultural prices technology wave prediction rule, broken Based on the traditional artificial statistics and forecasting model method of agricultural product price, the short-term forecasting model of Chinese agricultural product market price theory based on information technology innovation method was established.

Analysis of Machine Learning Techniques for Information Classification in Mobile Applications

Due to the daily use of mobile technologies, we live in constant connection with the world through the Internet. Technological innovations in smart devices have allowed us to carry out everyday activities such as communicating, working, studying or using them as a means of entertainment, which has led to smartphones displacing computers as the most important device connected to the Internet today, causing users to demand smarter applications or functionalities that allow them to meet their needs. Artificial intelligence has been a major innovation in information technology that is transforming the way users use smart devices. Using applications that make use of artificial intelligence has revolutionised our lives, from making predictions of possible words based on typing in a text box, to being able to unlock devices through pattern recognition. However, these technologies face problems such as overheating and battery drain due to high resource consumption, low computational capacity, memory limitations, etc. This paper reviews the most important artificial intelligence algorithms for mobile devices, emphasising the challenges and problems that can arise when implementing these technologies in low-resource devices.

Investigation of Intelligent Service Mode of Digital Stadiums and Gymnasiums in the Context of Smart Cities

With the innovation of information technology, digital stadiums and gymnasiums are based on independent innovation, information management, and intelligent cultivation and development, which promotes the construction of a new ecology of intelligent sports and also determines the development situation and development mode of traditional sports. In the construction of intelligent service mode of digital stadiums and gymnasiums in the context of smart cities, the management information system, as the application support of stadium information technology, is the key channel to improve the intelligent level of stadiums and gymnasiums. The establishment and promotion of a smart management information system is an inevitable trend for smart stadiums and gymnasiums to complete key technologies, consumer experience, and efficient functional innovation of management methods, which is also an important content of science and technology-enabling stadiums and gymnasiums. This paper proposed the research on intelligent service mode of digital stadiums and gymnasiums under the background of smart cities.

Implementation of innovative information technologies in the insurance market in Russia: telematics in auto insurance

To consider the main stages and problems of the introduction of telematics in the insurance industry, to identify the importance and prospects for the development of telematics in motor insurance in Russia.Tasks. To investigate telematics models in auto insurance; to identify problems affecting the introduction of telematics in the insurance business; to analyze the state of the car insurance market in Russia and the experience of foreign countries in the introduction of telematics; to analyze the attitude of policyholders to telematics in auto insurance.The study was conducted using general scientific and private scientific methods, a formal–logical approach, as well as a survey of policyholders.Results. In Russia, the use of insurance telematics technologies is at an early stage. Insurers need to be prepared to work with huge amounts of information, have specialized software and a powerful back office. All this requires significant investment in development and operation. The state of the auto insurance market and the experience of foreign countries in the implementation of telematics are analyzed. The necessity of using insurance telematics as a new level of cooperation with clients is proved based on an in–depth analysis of scientific works, a survey of insurers and the market situation.Conclusions. It has been established that telematic devices make it possible to determine the cost of an insurance policy, reduce the losses of an insurance company by creating personal insurance products, increase the level of service and, in general, reduce cases of insurance fraud more accurately.

Digitalization, new business Startups, information and Communication Technologies and product innovation: Evidence From China in the lens of sustainability.

The global economies and international organizations are inclined towards sustainable growth, technological advancements and product innovations. China is the leading economy in information and communication technologies and among the major industrially expanded economies covering a substantial share of the global market in exports. The prime objective of this study is to explore the role of digitalization and Information and communication technologies (ICT) for product innovation (PIN). In doing so, the study also attempts to draw some novel implications regarding business, entrepreneurship, and product innovation in the lens of sustainability. This current study use the annual data of China from 1990-2020. The empirical analysis was conducted using the stationarity testing and the Johansen cointegration test. In addition, due to the data's asymmetrical distribution, the non-parametric "quantile regression" is used. For robustness, this study employs the Fully Modified Ordinary Least Square, Canonical Cointegration, and Dynamic Ordinary Least Square methods. The empirical results reveal that economic progress and financial development are substantial factors of product innovation. The robust analysis reveals that medium and high-tech industries and information and communication technology adversely affect product innovation. Further, the presence of financial development transforms the negative influence of information and communication technology into a positive. The current study concludes more investments in the technological industry are required to encourage product innovation in China. The study discusses some policy-related implications in the context of business sustainability and product innovation.

Digital economy and the domestic supply chain network

Accelerating the development of the digital economy and building digital industrial clusters with international competitiveness has become an important connotation of China's high-quality economic development. From the perspective of the digital economy, this paper makes an in-depth study of the internal mechanism of the development of the digital economy on the supply chain network of Chinese enterprises, and uses the data of Chinese listed enterprises from 2007 to 2016 to identify and test the causal effect and influence mechanism of the digital economy and the position of enterprise supply chain network under the empirical framework. Research shows that the development of the digital economy is conducive to enhancing the influence of Chinese enterprises and improving their central position in the existing supply chain network. The digital economy promotes enterprise supply chain network status through the information transmission effect and technological innovation effect. Compared with digital economy industries, state-owned enterprises, and enterprises in coastal areas, the development of the digital economy has a greater positive role in promoting the position of the supply chain network of traditional industries, non-state-owned enterprises, and enterprises in inland areas. The research of this paper provides a practical basis for accelerating the construction of modern industrial chain and supply chain systems and promoting high-quality economic development.

Enterprise Risk Management in an Uncertain Environment

Purpose: The issue of enterprise risk management in an uncertain environment is a priority for the corporate sector to ensure liquidity and value of financial assets and operations in the selected market segment. Theoretical framework: The problem of enterprise risk management is to find an effective practice of using risk management systems that can minimize and prevent potential risks both internally and externally. Method: The article aims to analyze enterprise risk management and outline the key means of ensuring the stability of commercial activities with possible optimization of the work of functional units. An important area of the study is the identification of modern practical risk management tools and means of optimizing corporate activities in the context of global economic instability. Results and conclusion: The results of the study indicate the characteristic practices and comprehensive means of enterprise risk management to ensure its microeconomic stability. The prospects for risk management as a tool for ensuring it, as analyzed in the study, are constantly evolving and changing due to the emergence of innovative information technologies, which are one of the key tools for forecasting, modeling, and analyzing enterprise activities. Search implications: Attention is paid to the issue of the current economic environment and the quality of financial resource allocation in an unstable global economic situation. Originality/value: The obtained results of the study can be used by corporate institutions to improve their risk management policies and contribute to the stable operation of the enterprise even in the face of global uncertainty in the environment.

Government policy, IT capabilities, digital transformation, and innovativeness in Post-Covid context: case of Vietnamese SMEs

PurposeCOVID-19 has made businesses increasingly dependent on technology to be competitive and efficient. Small and medium enterprises (SME) digitalisation and innovation research are widespread. SME digital transformation and innovation require government policies, initiatives and assistance. How the government can help SMEs achieve these goals is unclear. So, this paper aims to investigate how government policy may assist Vietnamese SMEs to boost innovation performance and digital transformation.Design/methodology/approachThe study will take a quantitative approach, with questionnaires distributed to 659 respondents from SMEs in Vietnam through snowball and convenience sampling procedures. The structural equational modelling method is used for data analysis.FindingsThe study indicated that government policies supported Vietnamese SMEs’ innovation and information technology (IT) capabilities. Government policy assistance also boosted IT capabilities and innovation. Furthermore, mediation effects show that digital transformation fully mediates the relationship between innovativeness and firm performance, whereas IT capabilities partially mediate this relationship.Research limitations/implicationsFurther research that replicates the findings and analyses contextual heterogeneities between nations is advised because Vietnam’s pandemic setting was both similar and dissimilar.Practical implicationsThe study demonstrated government-company interactions through supportive policy. It investigated whether SMEs seeking digital transformation and innovativeness might gain competitive benefits by implementing effective knowledge management and enhancing their IT capabilities.Originality/valueA resource-based theoretical framework is extended to study how innovation, public policy and digital transformation for SMEs interact. The study confirms government policy strongly influences enterprises’ digital development. Specifically, the new mediating effects of IT capabilities and digital transformation are explored and provide new insights into the existing literature.

Research on the relationship between the construction of school teachers’ team literacy and the educational environment

Abstract Teachers are the leaders of teaching activities, and the quality of teachers is the core of their ability to effectively carry out teaching practice. The quality of teachers’ team is closely related to the educational environment. This paper first aims at the origin and development of the concept of literacy construction and believes that the literacy of teachers’ team in the educational environment is an extension of literacy, and it is also a necessary literacy for teaching. First, it is essential to carry out the calculation of the literacy matching weight. Second, the construction of teacher team literacy mainly includes teachers’ professional literacy, teacher teaching literacy, teacher information literacy, teacher learning literacy and teacher personal characteristics. The construction of team literacy is inseparable from the influence of environmental factors, mainly including the needs of school students, school innovation atmosphere, school education environment and other educational environmental factors. Combined with the quality of teachers’ team, a set of teacher team quality construction framework based on the educational environment is designed. At the same time, the use of information technology innovation and breakthroughs, combined with school teacher team literacy construction requires certain educational environment support, and it is necessary to provide targeted training for literacy construction, create a suitable teaching atmosphere, get rid of traditional teaching presuppositions, and start from the educational environment. The problems that appear in the process are used as a basis to improve the construction of literacy according to the problems. Finally, using deep learning to predict and analyse the data, the experimental results show that the accurate prediction can reach 96.89%, indicating that various factors in the educational environment will affect the construction of teacher team literacy.

Digital transformation of education in the context of the realities of the information society: problems, prospects

Scientific exploration aims to identify the level of synergy in the educational environment between society and the digital world. The task is to determine the balance between traditional social principles and innovative information and digital technologies. The methodology of scientific research is provided by a general scientific and philosophical-scientific arsenal, focused on social-humanitarian and information-technological dimensions. The level of influence of the information and digital cluster on the public understanding of education remains a debatable issue. There are increasing reservations about the failure of society to respond appropriately to the risks associated with the digitalization of education. The findings of this research point to two dichotomously oriented formats of manifestation of the digitalization of education in the socio-cultural space: internal-external and horizontal-vertical. A promising direction of the study of digital transformations in the context of the information society is to develop balances through which digitalization will introduce an innovative model in the educational system without violating the traditional educational paradigms, concerning primarily the multinomial aspect in education. The results of the study highlight the controlling and regulating function of the information dimension as a prerequisite for the effectiveness of innovation processes in education.

Improving Competitive Advantages of Higher Education Institutions through IT Governance, IT Excellence, and IT Innovation: A Case Study in School of Informatics Management & Computing in Indonesia

School of Informatics Management & Computing (Sekolah Tinggi Manajemen Informatika & Komputer - STMIK) in Indonesia currently needs to improve its competitive advantages, which are inseparable from capabilities to empower Information Technology (IT) for management activities. The research aims to develop IT innovation theories by studying the influences of IT governance, IT excellence, and IT innovation on the competitive advantages of STMIK in Indonesia. A sequential explanatory model is applied to collect and analyzes quantitative data in the first stage and qualitative data in the second stage. Focus Group Discussions (FGDs) method is also used to receive respondents’ statements to strengthen the research findings. The analysis unit involves private STMIK in Indonesia with heads of schools, deputies, and heads of study programs. Quantitative and qualitative research dimensions and an empirical survey, with the active participation of 85 schools, are implemented. The results emphasize that IT maturity is insignificant as a moderating variable between IT innovation and competitive advantages. Similarly, IT governance is also insignificant for the improvement of competitive advantages. However, competitive advantage is directly and favorably impacted by IT innovation initiatives. These findings demonstrate how much easier it is for universities to improve their competitive edge using their greater IT innovations. This circumstance demonstrates the enormous potential of STMIK’s IT innovation capability in Indonesia, allowing institutions to implement novel strategies to generate value by introducing new services.

The effects of industrial intelligence on China's energy intensity: The role of technology absorptive capacity

This study examines the impact of industrial intelligence on energy intensity in China, with a special perspective on the role of technology absorptive capacity in the relationship. Based on panel data from 30 Chinese provinces from 2006 to 2020, the direct and moderating effect model results show that industrial intelligence reduces energy intensity, and the interaction of industrial intelligence with technology absorptive capacity (i.e., assessed by the variables of information infrastructure, human capital, and technological innovation) tends to enhance the energy intensity reduction effect of industrial intelligence. Further, the threshold effect model shows that the reduction effect is heterogenous across regions: industrial intelligence tends to reduce energy intensity more in regions with higher information infrastructure, human capital, and technological innovation levels than in those with lower levels. Comprehensive governmental strategies to improve energy efficiency should concomitantly promote the sustainable development of industrial intelligence and technology absorption capacity.

Study on the impact of intelligent city pilot on green and low-carbon development

The intelligent city pilot policy is a major measure in China to promote urban development from factor driven and investment driven to innovation driven. Intelligent city construction can effectively coordinate specialized production factors and information sharing mechanism, promote digital information technology innovation, promote smart industry cluster, and expand ecological scenarios of clean industry application, so as to reduce carbon emissions. This paper reveals the internal mechanism of intelligent city construction to promote carbon emission reduction. Based on the quasi-natural experiments carried out in three batches of pilot construction of intelligent cities since 2012, the difference-in-difference model (DID) is used to identify its impact on urban carbon emissions. The research results show that the pilot construction of intelligent cities is conducive to reducing carbon emissions, which is still robust under multiple scenarios such as placebo test and endogenous test. Heterogeneity analysis shows that the pilot policies have a more significant carbon emission reduction effect on the Beijing-Tianjin-Hebei urban agglomeration, non-resource-based cities, and non-old industrial bases. After further quantitative analysis of 917 pilot policy texts based on Simhash algorithm, Jieba word segmentation, and word frequency statistics, it is found that intelligent industry policies reduce carbon emissions by driving data elements agglomeration and optimizing industrial structure, while intelligent government and intelligent people's livelihood policies improve energy efficiency and reduce carbon emissions through green technological innovation. Counterfactual tests using machine learning algorithms show that the later the pilot batch, the better the sustainable carbon emission reduction effect of intelligent city pilot policies.

The Contributions of Information and Communications Technology on the Sustainable Development of Artificial Intelligence in the Medical Field

This review provides an analysis and critique of current research on the uses of artificial intelligence in the medical field (AI). This chapter starts out by providing a definition of artificial intelligence from the perspective of communications research. As a consequence of this, it addresses recent advancements in AI as well as the influence that information and communications technology (ICT) has had on the use of AI in the medical field. In conclusion, it discusses the challenges that are impeding the industry's progress toward more advanced forms of artificial intelligence over the long term. The purpose of this study is to ascertain whether or not the incorporation of innovative information and communication technology (ICT) has a favorable effect on prospective applications of AI in the medical business. As a consequence of this, the review paper provides the conceptual groundwork for conducting an investigation into the ways in which AI and ICT are involved in the medical field.

New Brand Ride-Hailing Apps Continuance Intention of Gen Z: the Role of Personal Innovativeness in Information Technology

The tight competition in the ride-hailing service industry has made Super App digital companies in Indonesia vie to attract public interest to become their regular customers. As new players, Super App Maxim and/or InDriver companies need insight into what factors can make their applications accepted by Generation Z as the largest consumers in Indonesia. So, this study aims to investigate the role of performance and expectations of effort and social influence on continuing intentions to use new online transportation applications through the mediating role of personal innovation in information technology (PIIT). This study used the SEM technique with the SMART PLS 3.3.0 application, with 553 respondents using Maxim and/or InDriver. The study results show that performance, effort expectations, and social influence significantly affect the intention to use online transportation applications. Expected effort is the most significant factor affecting PIIT and intention to continue, followed by social influence and performance expectations.
 Keywords: Continuance Intentions; Generation Z; Personal Innovativeness In Information Technology; Ride-Hailing Apps, UTAUT

Examining the views of education managers of Shahid Sadougi University of Yazd on how to improve the education system with an agility approach: a study with a qualitative approach

: Organizations need agility in the current turbulent, complex and uncertain environment and rapidly changing markets. The purpose of this study is to design a model of agility in the educational system in Shahid Sadoughi University of Medical Sciences with a theme analysis approach.
 Method: The statistical population of this study was the staff, university experts, managers and officials of Shahid Sadoughi University of Medical Sciences. In order to develop the model of agility in Shahid Sadoughi University of Medical Sciences, non-probabilistic judgmental or purposeful sampling method has been used. This sampling method is based on the researcher's theoretical understanding and previous experience of the study population. In order to analyze the data, interviews and theme analysis have been used and the interviews have continued until data saturation is achieved.
 : Based on the findings based on interviews with experts and theme analysis, there are 5 main levels in the agility of the educational system in Yazd University of Medical Sciences, including educational components with 3 sub-levels (educational goals, educational needs assessment, and educational topic). Attitudinal-motivational components with 4 sub-classes (organizational culture, social justice, accountability and foresight), speed components with 2 sub-classes (cartime and technology), management components with 6 sub-classes (employee selection, employee empowerment, Management abilities, supervision, evaluation and allocation of financial resources (and components of qualification and competency) were identified with 3 subclasses (training and practical skills, organizational communication and flexibility).
 Conclusion: Fierce competition in the business environment, increasing customer expectations, globalization, cultural and social issues, limited skilled human resources, information technology changes, innovation and initiative are among the driving factors for changes in organizations' environment, which necessitate attention to agility in The organization doubles.

Urban Water Networks Modelling and Monitoring, Volume II

Innovation in information and communication technologies has greatly impacted the production of goods and service provision [...]