Development Of Information Technology Research Articles

A systematic review on internet addiction through various assessment tools among chinese college student’s context

With the rapid development of information technology, the internet has evolved into an essential tool in everyday life. The global proportion of internet users has consistently risen in recent years. Notably, China boasts substantial internet users, with students representing the largest demographic, especially college students. The purpose of this study is to explore the issue of internet addiction among Chinese college students through various assessment tools. This study conducted a systematic literature review with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A total of 409 publications were screened, and 23 were deemed eligible for inclusion in the review. The result revealed that there is no gold standard for evaluating internet addiction. Five types of instruments have been identified, and reported prevalence rates vary due to distinct assessment instruments and thresholds, spanning from 6.81% to 54.86%. Furthermore, internet addiction is associated with four factors among Chinese college students. Therefore, this study furnishes epidemiological evidence to support the prevention of internet addiction and the enhancement of mental health among college students.

The structuring of a (semi) agile-based organization: product orientation in a state agency

Purpose The purpose of the paper is to analyze how a change towards product orientation based on an agile approach challenges, contrasts and/or coexists with other principles of organization and grouping, such as development projects, the existing hierarchical line structure and process management. Design/methodology/approach This is a case study of one organization, based on an explorative appoach. Findings Taking the competing dimension of coordination and principles of grouping as the starting point, this study identify, describe and analyze the tensions that result from the introduction of product organization. The product initiative has met many obstacles and tensions along four dimensions: Process, line, information technology units and development projects. For each of these dimensions a number of challenges have been identified, that contribute to increased complexity in the organization. Research limitations/implications A limitation of the study is that the findings cannot be generalized to other organizations. Practical implications A practical implication of the study is that product organization triggers tensions with other principles of organizations and grouping. Originality/value This study mainly contributes to the knowledge of agile management and agile organization, identifying and theorizing challenges that have been neglected and/or poorly understood both in the popular literature and in organizational research. This is particularly the case in the public sector. This study is also relevant to the domain of multidimensional structures, adding an understanding of the novel opportunities and challenges of product- and agile-based grouping of activities in an organization.

E-Learning and Teaching Methods: Towards New Innovative Practices

In recent years, due to the rapid development of information and communication technologies, online education has grown exponentially, opening up new perspectives in the field of education, but it faces many challenges related to learner engagement, retention and quality of learning. E-learning has become a widely adopted learning method worldwide. In this context, innovative pedagogical methods play an essential role, offering teaching methods adapted to the needs of today's learners. This study focuses on innovative pedagogical methods in the context of online education. In this study, we explore several innovative pedagogical methods using digital technologies (gamification, microlearning, personalization, machine learning, virtual reality integration, etc.). We explore how these approaches are implemented, their benefits and how they can overcome traditional barriers to online teaching. Our findings highlight the benefits of these approaches in terms of learner engagement, enhancing the overall learner experience.

Pengembangan Aplikasi Pemesanan Makanan Berbasis Web Mobile Menggunakan Metode Prototyping pada KAF Fried Chicken

The development of information and communication technology has brought significant changes in various aspects of life, including in terms of ordering food. The design of a food ordering application at the KAF Chicken outlet is very necessary to reduce the constraints of conventional systems. The problem commonly faced by various culinary businesses is the absence of an automated system to record and manage orders, customer data, and financial reports, which often results in inaccuracy and slows down the process. This study aims to design a mobile web-based food ordering application that can facilitate culinary business management in ordering, payment, and transaction data management. The application uses the spiral method that allows gradual development and uses the Express Js Framework and Mongodb as data management. Application features include menu management, online ordering, and transaction recording. Based on the test results, this system can help control transaction data and manage reports accurately and quickly. The design of this application can also be expected to contribute positively to improving the operational efficiency of the culinary business, especially in managing orders and transaction data.

Research on National Short-Term Precipitation Forecast Method Based on Machine Learning

Abstract. Climate change is closely related to human lives. With the development of information technology, meteorological data gradually show the characteristics of big data. The purpose of this study is to compare the application effects of different machine learning models in short-term precipitation prediction, to improve the accuracy and efficiency of prediction. Based on the annual average precipitation data of prefecture-level cities in China from 1990 to 2022, this paper uses Random Forest, eXtreme Gradient Boosting and Neural Networks to construct prediction models, and comprehensively evaluate them. In this study, the data is preprocessed to ensure the data quality of the input model. Next, the data is fed into three machine learning algorithm models, Random Forest, eXtreme Gradient Boosting and Neural Networks. Finally, the prediction performance of each model is evaluated by various indexes. In this paper, it is found that the Random Forest model has the best performance, and its prediction accuracy is higher than the other two models, which has great application potential in the field of short-term precipitation prediction. This study shows that a reasonable selection of machine learning methods and optimization of model parameters can effectively improve the accuracy of short-term precipitation prediction. This paper provides some empirical evidence for precipitation prediction, which will help to make more effective decisions in dealing with extreme weather events and climate change challenges in the future.

Heterogeneous Impacts of Traditional and Modern Information Channels on Farmers’ Green Production: Evidence from China

Efficient agricultural input is crucial for agricultural green production and sustainable development. The swift evolution of information and communication technologies has diversified the avenues through which farmers access information. However, how different information channels affect farmers’ production input remain poorly understood. Leveraging a two-way fixed-effects model and the Karlson-–Holm–Breen (KHB) method, this study delves into the mechanisms underlying the influence of both traditional and modern information channels on farmers’ inputs of seeds, chemical fertilizers, and pesticides (SCFP) based on over 15,000 sample of Chinese farmers. The findings reveal the following: (1) modern information channels significantly decrease farmers’ SCFP input, whereas traditional channels exhibit the opposite effect; (2) environmental pollution perception acts as a mediator in the influence of both traditional and modern information channels on farmers’ SCFP input; (3) traditional information channels significantly promote farmers’ SCFP input in the grain production and marketing balance areas, and modern information channels inhibit farmers’ SCFP input in major grain-producing areas; and (4) traditional and modern information channels have an impact on farmers’ SCFP input in the western region, but not in the central region. To promote sustainable agricultural development, government departments should enhance rural Internet access, diversify information sources, advocate for eco-farming, ensure regional digital equity, and enhance green agri-tech promotion.

Entrepreneurial Leadership Development in the Digital Age

During the second half of the 21st century, academia has presented different studies to conceptualize entrepreneurial leadership without academic consensus.Although leadership and entrepreneurship are distinct, the literature has come to understand their similarities (Harrison et al., 2020). Despite the large number of publications, the characteristics of a leader should be based on an entrepreneurial profile, mainly to gain competitive differentiation for companies through the productivity of their human capital (Addy et al., 2024). Over the last century, the business world has undergone several transformations intrinsically linked to innovations and developments in Information and Communication Technologies. Over the last few decades, the installed business park has changed in computerization and automation, making it necessary to equip human resources with ICT-related tools and knowledge. This and several generations cooperating in companies have brought new challenges to leadership (Figueiredo and Joaquim, 2023). However, in contemporary times, the business sector has to acknowledge the challenges inherent in meeting ESG indicators to respond to the SDGs, forcing leaders to equip themselves with entrepreneurial skills to involve, motivate, and create strategies for promoting innovation and retaining talent (Addy et al., 2024). According to Omeihe et al. (2023), “the role of entrepreneurial leadership in enhancing positive business outcomes” (2023, p. 1), but the authors also acknowledge that leaders should embrace several attributes and skills to implement this new leadership perspective. The entrepreneur concept has gained new topics to discuss and internalize, including ICT and the sustainable domains paradigms regarding the ESG indicators and the SDG goals. This article aims to understand the challenges and competencies needed to conceptualize entrepreneurial leadership by critically reviewing the existing literature and linking it to the inherent needs of ESG and SDG goals; it seems to be the only way to understand and internalize the processes and procedures involved in entrepreneurial leadership in the digital age.

Impact of Digitalisation in Construction on Australian Designers and Builders: A Cross-Analysis Based on the Size of Organisations

The construction industry has yet to reach significant levels of digitalisation compared to other sectors, which could enhance its processes. Recent building failures globally have eroded public trust in the industry, highlighting issues of compliance. This has prompted the introduction of building regulations, where digitalisation is expected to play a key role in supporting compliance. This paper aims to assess the impact of digitalisation on two key stakeholder groups within the construction industry—designers and builders—across various organisational sizes. A questionnaire survey was conducted with designers and builders in Australia, focusing on information technology (IT) infrastructure, digital capability, training, and research and development. Descriptive statistics were analysed and cross-analyses between designers and builders, as well as across different organisation sizes, were conducted using the Mann–Whitney U and Kruskal–Wallis H tests. The findings revealed clear differences between designers and builders regarding digitalisation across IT infrastructure, digital capability, training, and R&D. For example, builders primarily rely on cloud storage while designers use a combination of local and cloud storage. Designers allocate a higher percentage of their turnover to IT, whereas builders are twice as likely as designers to lack structured training for digital skills. When organisation size was considered independently, similarities were observed across sizes. These results provide insight into the current digitalisation landscape in construction, offering a foundation to support the adoption of future industry regulations.

Criminal Regulation of Illegal Use of Citizens’ Personal Information

With the rapid development of information technology, the collection, storage, and use of citizens’ personal information have become increasingly convenient. At the same time, the illegal use of personal information has become rampant, seriously threatening personal privacy rights and social order. This paper aims to systematically explore the criminal regulation of illegal use of citizens’ personal information. It first defines the concept and classification of personal information, then analyzes the specific forms of illegal use of personal information. Through a comparative study of relevant laws and regulations domestically and internationally, it reveals the effectiveness and deficiencies of current criminal regulations in protecting personal information. The research finds that although China has made progress in personal information protection legislation, there are still significant shortcomings in defining criminal liability, clarifying the application of laws, and enforcing regulations. Based on this, the paper proposes several recommendations to improve criminal regulation, including clarifying the constitutive elements of crimes, strengthening law enforcement, enhancing public awareness, and promoting international cooperation, with the aim of providing theoretical support and practical guidance for further improving China’s legal system for personal information protection.

An Anonymous Authenticated Key Agreement Scheme for Telecare Medical Information Systems

With the rapid development of information technology from one side and the experience of the COVID-19 pandemic from the other side, people presently prefer to access healthcare services remotely. Telecare Medical Information System (TMIS) provides more flexible, faster, and more convenient e-healthcare services available to all people, particularly those who lack access to physicians due to their geographical restrictions. However, due to the sensitivity of medical information, preventing unauthorized access to patient data and preserving patient privacy is crucial. In this paper, we propose an authenticated key agreement scheme for TMIS to preserve the privacy of the patient’s identity from all internal (even the health server and the physician) and external entities. Moreover, the physician’s identity is kept secret from all external entities. Formal and informal security analysis of the proposed scheme indicates that it is secure against all attacks in the context.

An Exploration of Online Abbreviations in Network Media Platforms

With the rapid development of network information technology and the increasing frequency of online communication, abbreviations in network media platforms have emerged as a significant linguistic phenomenon. Network abbreviations serve not only as convenient tools in online communication but also as a microcosm of network culture and language development. This paper aims to explore the origins, types, characteristics, and impacts of abbreviations in network media platforms. Through in-depth research on network abbreviations, this paper reveals the unique roles of network language in terms of communication efficiency and cultural expression, and puts forward reasonable suggestions for standardizing the use of abbreviations on network platforms, providing a new perspective for understanding network language phenomena.

Analisis Sentimen Masyarakat terhadap Pelayanan e-KTP dengan Metode Support Vector Machine

The rapid development of information and communication technology allows society to access various information needed in daily life. The Law of the Republic of Indonesia Number 23 of 2006 concerning population administration serves as an important element in population management. Population documents are issued by official institutions and have legal legitimacy as valid evidence. The method used in this research regarding public sentiment towards e-ID card services is the survey method, which aims to collect data from a large population using a smaller sample. The steps or processes in this research using the SVM method consist of case folding, cleaning, tokenizing, normalization, stopword removal, and stemming. Based on the classification of 150 test data using SVM, the number of positive sentiments recorded is 110 opinions, while negative sentiments recorded are 40 opinions.

Automated programming approaches to enhance computer-aided translation accuracy

With the continued development of information technology and increased global cultural exchanges, translation has gained significant attention. Traditional manual translation relies heavily on dictionaries or personal experience, translating word by word. While this method ensures high translation quality, it is often too slow to meet the demands of today’s fast-paced environment. Computer-assisted translation (CAT) addresses the issue of slow translation speed; however, the quality of CAT translations still requires rigorous evaluation. This study aims to answer the following questions: How do CAT systems that use automated programming fare compared to more conventional methods of human translation when translating English vocabulary? (2) How can CAT systems be improved to handle difficult English words, specialised terminology, and semantic subtleties? The working premise is that CAT systems that use automated programming techniques will outperform traditional methods in terms of translation accuracy. English vocabulary plays a crucial role in translation, as words can have different meanings depending on the context. CAT systems improve their translation accuracy by utilising specific automated programs and building a translation corpus through translation memory technology. This study compares the accuracy of English vocabulary translations produced by CAT based on automatic programming with those produced by traditional manual translation. Experimental results demonstrate that CAT based on automatic programming is 8% more accurate than traditional manual translation when dealing with complex English vocabulary sentences, professional jargon, English acronyms, and semantic nuances. Consequently, compared to conventional human translation, CAT can enhance the accuracy of English vocabulary translation, making it a valuable tool in the translation industry.

Direct Linearly Polarized Emission in van der Waals LEDs via Flexoelectric Effect

AbstractFollowing the rapid development of information technology, modern polarized light, which is a critical component for display and data transmission, has been in demand for miniaturization and high efficiency, rendering two‐dimensional (2D) semiconductors potential candidates. The traditional polarized light is usually generated by external optical structures or polarizers that influence the scaling and bring up losses. Previous works have reported polarized light emission from inversion‐asymmetric 2D semiconductors such as black phosphorus (BP), black arsenide phosphorus (AsP), and rhenium disulfide (ReS2), however, their emission wavelengths are not in the visible range. Here, a direct emission of linearly polarized light is demonstrated from van der Waals light–emitting diodes (vdWLEDs) via the flexoelectric effects by inducing the non‐uniform strain in monolayer (ML) transition metal dichalcogenides (TMDCs). In this work, the effects of strain including excitonic binding energy and exciton dipole moment distribution is analyzed by the density functional theory (DFT) then we show that linearly polarized photoluminescence (PL) with a degree of linear polarization (DOLP) of ≈17% can be realized at room temperature (RT), and the polarization angle is perpendicular to the direction of the strain‐gradient. By incorporating the strained ML TMDCs into vdWLEDs, electroluminescence (EL) with DOLP of ≈19% can be observed at RT. This work puts forward a direct and universal strategy for fabricating polarized LEDs based on inversion‐symmetric semiconductors.

Developing a quality indicator system for evaluating internet plus home care nursing services based on the SERVQUAL model: a Delphi-analytic hierarchy process study

Background In the context of global population aging and the rapid development of information technology, the demand for Internet Plus Home Care Nursing (Internet+ HCN) services have been on the rise, especially in China. Internet+ HCN services have the potential to maximize existing human resources to counter the shortage of medical healthcare services. However, at present, Internet+ HCN services are difficult to scale due to the lack of standardized service quality governance. Quality indicators for service evaluation of Internet+ HCN services are under-defined. Objective To develop a quality indicator system for evaluating Internet+ HCN services, and to shed theoretical light on assessing mHealth service quality from a user experience perspective. Methods An initial quality indicator system was established based on scenarios related to Internet+ HCN services. The Delphi Method was applied to modify the indicators according to experts’ opinions, and the analytic hierarchy process (AHP) was applied to calculate the indicator weight. Finally, a quality indicator system for evaluating Internet+ HCN services was developed based on the SERVQUAL model. Results Altogether, 17 experts from relevant fields such as nursing education, clinical nursing, health management, and health informatics were consulted through email surveys. The response rates in both rounds of Delphi and the AHP were 100%. The average expert authority coefficients were 0.912 and 0.925 respectively in the two rounds of Delphi. Kendall’s W, indicating variation coefficients, ranged from 0.262 to 0.265. Finally, a quality indicator system for evaluating Internet+ HCN services, comprising five primary indicators and 15 secondary indicators, was developed. Primary indicators and their AHP generated the following weights: assurance (0.245), reliability (0.240), tangibles (0.192), responsiveness (0.190), and empathy (0.132). Conclusions By measuring the services quality gap between user expectations and perceptions, the proposed SERVQUAL model-based quality indicator system shows potential in improving the quality of Internet+ HCN services through the perspective of user experiences.

Exploring the Impact of After-Hours Work Connectivity on Employee Performance: Insights from a Job Crafting Perspective

With the leapfrog development of information and communication technology and the intensification of external competition among enterprises, after-hours work connectivity through communication devices has become a new norm in the workplace. While it offers certain conveniences, the constant connectivity it entails also imposes significant pressure on employees. How to comprehensively understand and rationally treat after-hours work connectivity has become an issue that organizations need to pay great attention to. Based on conservation of resources theory, this study analyzed 407 questionnaires to explore the “double-edged sword” effect of after-hours work connectivity on employee performance and analyzed the moderating effect of the psychological contract. The results indicate the following: (1) Proactive pathway: after-hours work connectivity promotes employees’ job crafting behaviors toward approach-oriented adjustments, thereby enhancing job performance. (2) Passive pathway: after-hours work connectivity encourages employees’ job crafting behaviors toward avoidance-oriented adjustments, leading to decreased job performance. (3) The psychological contract positively moderates the relationship between after-hours work connectivity and approach-oriented job crafting and negatively moderates the relationship between after-hours work connectivity and avoidance-oriented job crafting, regulating both the positive and negative coping pathways. The research findings contribute to assisting organizations in adopting a dialectical perspective towards and effectively utilizing after-hours work connectivity. This aids in achieving a balance between organizational effectiveness and employee well-being, seeking a mutually beneficial work paradigm, and providing managerial recommendations to promote sustainable organizational development.

An online review on customer satisfaction of mid-to-high-end health and wellness hotels in China

The rapid development of information technology has enabled the collection of online review data, which provides a more precise representation of hotel guest satisfaction. It is crucial to investigate the factors that impact hotel guest satisfaction as identified through online review content. This study will examine relevant scholarly literature on online reviews and concentrate on 50 mid-to-high-end health and wellness hotels in China. Python is utilized to crawl the online review database, and a comprehensive analysis is conducted on the semantic keywords and categories present in customer online review statements. Service, traffic, catering, and other variables are identified as determinants of customer satisfaction in mid-to-high-end health and wellness hotels through factor analysis. This article will propose specific measures and recommendations to improve customer satisfaction in health and wellness hotels, attract more customers, and contribute to the sustainable development of the industry.

Enhancing University Japanese Language Education through New Media Strategies and Impacts

With the rapid development of information technology, new media technology has gradually become an indispensable part of modern education, especially in the field of language teaching has shown great potential. This paper aims to explore the application of new media strategies in college Japanese teaching and its impact on teaching results. First of all, through the overview of the definition of new media and its advantages in the field of education, the unique position of new media in Japanese teaching is clarified. Secondly, the article introduces several new media tools and technologies in detail, such as online course resources, social platforms and mobile learning applications, and their specific application cases in actual teaching. In addition, this study evaluated the change of students' learning behavior and the improvement of Japanese teaching quality before and after new media intervention through quantitative analysis. In view of the problems that may be encountered in practice, such as technical obstacles and teacher training needs, the paper puts forward the corresponding solutions. Finally, the research results show that the rational use of new media can effectively stimulate students' interest in learning, enhance classroom interaction, and significantly improve the teaching effect. This paper not only summarizes the existing research results, but also provides direction and inspiration for further exploration of the application of new media in Japanese teaching in the future.

Impact of basic artificial intelligence (AI) course on understanding concepts, literacy, and empowerment in the field of AI among students

AbstractWith the development of information technologies and information processing methods, it is important to provide high‐quality education in the field of artificial intelligence (AI). The study aims to investigate the impact of an educational course on AI on the comprehension of concepts, literacy, and empowerment in the field of AI among students of higher educational institutions. The experiment involved 125 students from Hohai University in China. As a result of taking the training course, students were able to improve their understanding of concepts (increasing their average score from 6.33 to 9.69), literacy (from 2.94 to 3.99), and empowerment (from 3.90 to 4.04) in AI. The resulting data statistically confirmed the effectiveness of the developed course for improving confidence in the field of AI. The training module can be applied to improve confidence in the field of AI for students in various careers, as information competence is important these days and increases the success of graduates in employment. When it comes to further research, the encouraging results of this study suggest opportunities for promoting this training program among a diverse group of participants. To confirm the effectiveness of the developed course, it can be conducted among students in schools and other educational institutions, reducing it to even more basic if necessary.

Development of Multimedia Teaching Content for Basketball in High School

Background and Aim: In the continuous development of information technology, the global education sector has been greatly impacted by the globalization of information, the application of modern information technology can be seen everywhere, which will profoundly change education. Modern information technology with network and multimedia technology as the core has been applied in physical education teaching in schools and universities. It is necessary to reform and upgrade the traditional education mode and develop multimedia teaching methods. Therefore, this research was to develop multimedia teaching content for basketball in high school, to promote the use of multimedia technology in physical education teaching. Materials and Methods: The survey included 516 students and 35 teachers from 10 high schools in Guangzhou, questionnaire was used to investigate the current situation of basketball teaching. Then, 7 teachers were interviewed to consult the problem solutions, and the indicator contents of multimedia teaching content for basketball in high school was constructed by literature review and content analysis. Through 19 Delphi experts’ consensus, multimedia teaching content for basketball in high school was established. Finally, 9 experts were invited to confirm the developed multimedia teaching content by the Connoisseurship method. In this research, mean, standard deviation and coefficient of variation were used to analyze the data. Results: After two rounds of Delphi method investigation, statistics, and modification, there are 92 indicators suitable for using multimedia in high school basketball teaching content. The content of high school multimedia basketball teaching is designed and includes the origin and development of basketball, sports injuries, and prevention, basic movement of a basketball player, dribble technique, one-handed marching shot, basic movement of a basketball player, basic basketball rules, shoot technique, pass technique, defend technique, breakthrough technique, advanced dribbling, steal technique, zone cooperation, pick and roll and defense, attacking match, fast break and defense, one-on-one check, offensive zone defense. Conclusion: The multimedia teaching content for basketball high school in Guangzhou was effective and appropriate, and can be integrated into the teaching plan.