Internet Technology Research Articles

An Analysis of Luckin Coffee's New Marketing Model from the Perspective of Behavioral Finance

With the development of Internet technology, Luckin Coffee has transformed the traditional value creation model, driven by customer value as the goal, and established its brand effect in a short period of time through financing. However, the excessive and rapid expansion led to financial crisis, which caused it to fall into the negative vortex of financial fraud, and finally returned to the consumer market at the cost of delisting and restructuring in the United States. After returning to the market, Luckin Coffee changed its business operation model, and the reform of the new marketing model focusing on products and customers made its financial turnaround and rebuilt its brand value. How does Luckin Coffee take advantage of consumers' psychology and guide their consumption preferences? Based on the perspective of behavioral finance, this paper analyzes how the operation management team of Luckin Coffee reconstructs its marketing methods and paths by utilizing the anchoring effect of consumers, limited attention transactions and herd effect. The research conclusion shows that the new marketing model with consumer demand caused by consumer psychology as the core can effectively and rapidly increase the number of new customers and improve customer retention. Luckin Coffee has also quickly passed the crisis after delisting and restructuring, and its business performance and corporate value have also gradually increased. The brand value has returned to the vision of consumers, and the future is promising.

Analysis of recommendation systems based on knowledge graphs

Due to the rapid development of internet technology, recommendation systems have played a crucial role in improving user experience and enhancing user retention. Knowledge graphs (KG), a technique capable of capturing complex semantic relationships and contextual information, are gradually included in recommendation systems to augment their accuracy and intelligence. This paper reviews the application of knowledge graphs in recommendation systems, analyzing their unique advantages in handling user-item relationships. This paper comprehensively analyzes embedding methods based on tensor decomposition and translation, which primarily designed for static knowledge graphs. This study thoroughly explains the advantages and disadvantages of these methods in practical application. Moreover, this paper discusses the challenges faced by dynamic knowledge graphs, such as temporal data processing, real-time updates, and inference, proposing potential solutions and future research areas. Integrating knowledge graphs with machine learning techniques enhances the ability of social media recommendation systems to understand user preferences and deliver highly personalized recommendations effectively. This study provides theoretical support and practical guidance for the implementing of knowledge graphs in recommendation systems, holding significant academic value and practical significance.

A Quick Analysis of E-Commerce

Internet shopping is now a sea change that has implications with both consumers and advertisers. Digital transformation will played a great role as in upcoming easy access to financial divisions and business services in a rising economy. To combat deceptive conduct, the rising use of smart mobile operators and the World Wide Web as a niche product for exchange of goods and services and foreign investment needs a stronger attention on t s security. The advances in internet technology has created havoc in almost every element of a lives. E-commerce has a lot of benefits that boost customer and give conveniences in any place and enabling accompany to get a higher market share. As a consequence of extensive internet usage, e-commerce has risen in popularity, and companies, particularly continue, and are rapidly moving to this option as a differentiating strategic framework. This paper discusses about E-commerce, E-commerce providers, Benefits, and Challenges. This paper can be used by researchers for further study in E-commerce in future

Integration of Information Technology and Machine Learning to Improve the Efficiency of IoT-Based Logistics Systems

In today's digital era, efficiency in supply chain management and logistics is the main key to maintaining business competitiveness. This article discusses the integration of Information Technology (IT) and Machine Learning (ML) in Internet of Things (IoT)-based logistics systems to improve operational efficiency. By leveraging IoT sensors for real-time data collection and ML algorithms for predictive analysis, the system is able to optimize inventory management, route planning, and preventive maintenance. The case studies discussed in this article show that the use of ML in IoT-based logistics systems can reduce delivery times, lower operational costs, and increase responsiveness to changes in market demand. The results of this study are expected to provide insight for system developers and logistics managers in implementing advanced technologies to address challenges in the modern logistics industry.

ИННОВАЦИЯЛЫК ТЕХНОЛОГИЯЛАРДЫН ЭКОНОМИКАЛЫК ЖАНА ФИНАНСЫЛЫК САБАТТУУЛУККА ТИЙГИЗГЕН ТААСИРИ

Innovative technologies are constantly and dynamically developing in connection with the rapidly changing market economy and competitive conditions at the global level. This is caused by the need to use modern technologies for human life. As a result of the sharp increase in the use of modern innovative technologies in everyday life, computer-related professions are developing. Another important benefit is the impact of innovative technologies on economic and financial literacy, as well as digital factors, which will become fundamental elements of new information technologies. Nowadays, innovative technologies play the most important and important role in our lives. Innovative technologies determine the level of development of society. Recently, the development of innovative technologies and the improvement of the capabilities of Internet technologies have had a great impact on information literacy.

Artistic Practices in the Context of the Evolution from Web 1.0 to Web 3.0

This article examines the evolution of artists’ interaction with the audience in the context of media culture, linked to the updates of communication mechanisms on the Internet, from the static Web 1.0 to the interactive Web 3.0. The aim of the article is to show the connections between the changes in authorship models and mechanisms of interaction with the audience in artistic practice and the evolutionary development of web technologies. The transformation of contemporary artistic forms is the result of the active influence of digital technologies and the associated collapse of the existing hierarchy between author, performer and audience. The study discusses the strengthening of the interactive component in artistic practices, parallel to the development of Internet technologies from Web 1.0 to the semantic Web 3.0 and analyzes the overlapping of these processes and their mutual influence in the context of post humanist perspectives. It was found that artistic collaborations through collective authorship are a characteristic model of authorship for this phase of Internet development. It was noted that the evolution from Web 2.0 to Web 3.0 opens new possibilities for the creation of multisensory experiences, thanks to the use of VR (Virtual Reality) and AR (Augmented Reality) technologies, which are actively used by artists in artistic practices and works, for example in operas or concerts. In addition, the active development and integration of artificial intelligence technologies in artistic practices has been identified. By analyzing musical projects of different genres and forms, the transformative influence of web culture on contemporary artistic practices becomes clear. Keywords: artistic practices, music, internet, technologies, interactivity, communicative models’ development

AN AUTOMATED NEW APPROACH IN FAST TEXT CLASSIFICATION: A CASE STUDY FOR KURDISH TEXT

With the rapid development of internet technology, text classification has become a vital part of obtaining quick and accurate data. Traditional machine learning methods often suffer from poor performance and high-dimensional feature spaces, which reduce their accuracy. In this paper, the FastText model is proposed as the first-ever classifier on Kurdish text and the results are compared with traditional machine learning methods to show the effects on Kurdish Text. For evaluating the model four datasets Kurdish News Dataset Headlines (KNDH), Medical Kurdish Dataset (MKD), Kurdish-Emotional-Dataset (KMD-77000), and KurdiSent are utilized and compared the results with the traditional machine learning algorithms such as: Random Forest (RF), k-nearest Neighbor (k-NN), Logistic Regression (LR), Multinomial Naïve Bayes (MNB), Support Vector Machine (SVM), Decision Tree (DT), Stochastic Gradient Descent (SGD), as well as the deep learning model Bidirectional Encoder Representations from Transformers (BERT). The outcomes indicate that the FastText model achieved the highest performance with 89% for each precision, recall, F1-score, and 89.10% accuracy for the KNDH dataset. Moreover, when the KMD dataset is utilized the FatText model obtained outperforms all others by approximately 2%. In addition, the comparative analysis showed that FastText is superior when Kurdisent is considered with precision, recall, F1-score, and accuracy by 81.32, 81.83, 81.57, and 81.4 respectively. In addition, when MKD is implemented, the FastText model obtained the highest performance with a precision of 93.32%, recall of 93.36, F1-score of 93.34, and accuracy of 93.1%.

Research on Business Model Innovation of Media Industry in the Era of “Internet+”

In the pattern of rapid development of the media industry characterized by the emergence of the “Internet Plus” era, enterprises are facing unprecedented challenges and opportunities. This paper discusses the influence of Internet technology on the media industry, and discusses the strategy of business model innovation to improve competitiveness and adapt to the changing market demand. Through a comprehensive analysis of the changing dynamics of content production, distribution and consumer behavior, this study determines the necessity of media enterprises to innovate business models. By taking advantage of Internet technology, such as resource integration and value creation, media companies can open up new ways of growth and sustainable development. Empirical research shows that enterprises that adopt business model innovation are superior to their traditional counterparts in profitability. Finally, this study provides valuable reference for the media industry stakeholders who seek to master the complexity of the digital age and flourish in the era of “Internet Plus”.

Dependence and Alienation: A Study of Online Social Anxiety Among College Students Under the New Media Perspective

With the rapid change of Internet technology, new media has been deeply integrated into people s daily life and become an indispensable and important element, especially for the group of college students, new media is the main platform for them to obtain information and communicate and interact. However, in the virtual world of online social networking, the anonymity and virtuality of online social networking make them prone to uncertainty and insecurity in their interactions, and college students are faced with unprecedented social pressure and anxiety, which can easily make them fall into self-doubt and anxiety. Therefore, this study explores the causes of college students online social anxiety under the threshold of new media and the influence of social media dependence on social media self-presentation, with a view to alleviating college students group online social anxiety.

Study on the Function of Social Media in Rural Health Communication in the Context of Media Convergence

In today's era, the rapid development of Internet technology is driving profound changes in the media landscape. Media convergence, an irreversible development trend, is penetrating into multiple dimensions such as form, technology, platform, market, organization and users. In the all-media era, the deep integration of communities, neighborhoods, regions and cultures is having a profound impact on China's media ecosystem. With the advent of the network era, health communication is facing unprecedented new opportunities and challenges. The application of advanced technologies such as algorithms and cloud computing has provided a brand new way to popularize health knowledge. This not only makes the dissemination of health information more efficient, but also allows more people to access health-related knowledge conveniently. However, in China's rural areas, health communication still faces many problems. The China New Media Development Report reveals in detail the current situation of rural health communication in terms of creation, content, dissemination, and influence, pointing out problems such as lack of subject, insufficient traffic, and insufficient media capacity. The report emphasizes that the construction of health culture is of great significance to rural revitalization. This study aims to promote the development of rural health communication, so that the dividends of technology can truly benefit the countryside and improve the health of rural residents. To this end, we need to actively explore and practice to find effective solutions to promote the progress of rural health communication in China.

Research on the protection of consumer rights in livestreaming e-commerce

With the rapid development of internet technology, livestreaming e-commerce has emerged as a new e-commerce model and has rapidly risen in China's e-commerce field, becoming a rising star. Livestreaming e-commerce combines entertainment, interactivity and shopping, which not only provides consumers with a more convenient way to shop, but also opens up new sales channels for merchants. However, with the rapid development of livestreaming e-commerce, the issue of consumer rights protection has become increasingly prominent. In this paper the current situation of consumer rights protection in livestreaming e-commerce was analyzed, the difficulties and challenges in China's consumer rights protection was summarized. In the conclusion part, some suggestions are put forward, which provide useful reference for the healthy development of China's livestreaming industry.

The Impact of SHEINs Content Marketing on Consumer Perceptions in the Digital Marketing Process

With the rapid development of the Internet and digital technology, content marketing strategy has become increasingly important in the field of digital marketing. However, there is insufficient research on how a brands digital content marketing affects consumers purchase intention, especially among emerging brands. In this study, the SHEIN brand was used as a reference. Through a comprehensive literature review and in-depth case analysis, this research systematically explores its core digital content marketing strategy and reveals the core elements of its success. The research results show that SHEINs user-generated content (UGC) strategy in digital content marketing, especially social media marketing, encourages consumers to independently shoot and write SHEIN product content, thereby increasing new consumers product recognition and thus influencing consumers purchases. This strategy not only deepens consumers' positive impression and awareness of the SHEIN brand but also significantly enhances their purchase intentions. Through this analysis, brands can effectively attract and retain customers by articulating their core values and developing precise digital content marketing strategies accordingly. This research provides valuable insights into how brands can build and implement effective content marketing strategies in the digital age, especially in terms of how to attract and retain younger consumers. At the same time, the companies should also realize that with the continuous advancement of technology, future digital content marketing strategies will continue to evolve, and brands need to maintain keen insights and constantly adapt to new market environments and consumer needs.

Analisis Pemanfaatan Media Sosial dalam Peningkatan Penjualan Produk Kuliner: Studi Kasus pada Usaha Mf Dessert

Technology is developing very rapidly which has many consequences in the field of human life, especially the development of technology in the field of the internet. As a result of these advancements, trading systems, ways of transacting, and marketing systems will all undergo a revolution. Previously, you had to meet the merchant in person if you wanted to buy something. As a result, the distance between the seller and the buyer is quite short. However, with technological breakthroughs, especially in the realm of the internet, all barriers of distance, time, and cost can be easily overcome. One type of internet technology development that can help build a business is the use of social media. MF Dessert is a business established in 2021 that provides a variety of dessert menus such as Haunted Chocolate, Mille Crepes and Fruit Salad. This study aims to find out the analysis of the use of social media in increasing sales culinary products (case study on MF Dessert business). This study uses a qualitative descriptive approach. The results of the research obtained are that the social media used are WhatsApp, Facebook and Instagram, where the use of Whatsapp is more often used than Facebook and Instagram and MF Dessert's business sales have increased by using social media. In conclusion, the use of social media makes it easier for dessert sales that reach more many consumers and social media that is more often used is WhatsApp, the amount of profit obtained from online sales in November is more than Rp. 170,000 compared to direct/offline sales in October. So that the number of sales of MF Dessert's business increased by using social media.

Sistem Informasi Penjualan Sparepart di Bengkel Karisma Motor Berbasis Web

Technological developments continue to grow rapidly and touch all aspects of life. Companies from small to large scale take advantage of technological developments to increase company value, one of the most commonly heard of technological developments is the internet. The internet is a major requirement in this globalization era, with the internet we can get any information, including information about schools, hospitals and even workshops [1]. speartpart sales and other materials needed. In the face of very tight workshop competition at this time and in the future. However, currently there are still many workshops that have not utilized internet technology, one of which is the Karisma Motor workshop in Muara Pinang. This research will be built using the Prototype method.

Welcome to ‘Dalifornia’: Chinese digital nomads as mobile entrepreneurs

ABSTRACT Digital nomadism has gained increasing popularity as a lifestyle choice, fuelled by advancements in internet technologies, the availability of co-working spaces, and the impact of global pandemics. Despite its growing prominence, digital nomads who engage in entrepreneurial activities have received relatively limited scholarly attention, particularly in non-Western contexts. This research aims to address this gap by investigating the underlying mechanisms of Chinese digital nomads as entrepreneurs. Utilising a netnography method, data was collected from online communities where digital nomads actively participate and interact in China. By doing so, this study contributes to the existing literature on tourism using the concept of geo-arbitrage specifically tailored to digital nomad entrepreneurs.

Effects of the Internet-based rehabilitation information sharing program on psychological stress of family caregivers of inpatients: A non-randomized controlled study.

The psychological impact of Internet-based rehabilitation information provision on family caregivers of inpatients has not yet been investigated. This study investigated the impact of the Internet-based rehabilitation information sharing program on anxiety and depression among family caregivers of inpatients. Participants were patients admitted to a rehabilitation hospital and their families. The Internet and Communication Technology (ICT) group received weekly reports with photos and videos showing rehabilitation progress and patients' activities of daily living, whereas the control group received only conventional care. The primary outcomes were the anxiety and depression scores of family caregivers, assessed at admission, discharge, and 1 month after discharge. Eighty-three participants were followed up (ICT group, n = 43; control group, n = 40). To minimize the impact of confounding factors, propensity-score matching was performed. Significant effects on anxiety (P = .03) and depression (P = .049) were found in the ICT group compared with the control group. The median difference in anxiety scores from discharge to 1 month post-discharge was -1.0 (interquartile range [IQR]: -2.0 to 0.8) in the ICT group versus 1.0 (IQR: -1.0 to 2.0) in the control group. The median difference in depression scores from admission to discharge was 0.5 (IQR: -1.0 to 2.8) in the ICT group and 2.0 (IQR: 1.0-3.8) in the control group. The Internet-based rehabilitation information sharing program may help reduce the family caregivers' psychological stress, enabling improved patient care.

A local encryption method for large-scale vector maps based on spatial hierarchical index and 4D hyperchaotic system

With the development of geographic information services, applications based on map data are increasing. Internet and mobile communication technologies have brought great convenience to the distribution, sharing, and acquisition of map data. Unfortunately, it also brings great challenges to protect the security and privacy of confidential map data. Although several encryption algorithms have been developed for map data, most of the existing methods are simple extensions of classical encryption algorithms for text data in cryptography, ignoring special structures and characteristics of geospatial data. Existing methods mainly take the entire map or layers as encryption units, which makes the encryption efficiency for large-scale map data low and limits the ability to perform local and incremental encryption for local areas, making it still challenging to meet the needs of map data in applications, such as autonomous driving. To solve the limitations, a local encryption approach for large-scale vector map data is proposed in this paper considering the structure characteristics of map data. Experiments on map data of different types (including points, lines, and polygons) demonstrate the effectiveness of the proposed method. With local and parallel encryption strategies, the proposed method has higher efficiency compared to available algorithms for large-scale map data.

Beyond COVID-19: assessment of learning loss on human capital

Purpose This study aims to investigate the effect of the COVID-19 pandemic on K-12 education using County level data. Design/methodology/approach The authors use County-level data and charts to look at enrollment, performance in different grade levels, poverty measures, access to internet, etc., to shed light on educational losses after the pandemic. Findings In remote education after the pandemic, access to the internet has emerged as the foundational element of educational equity. While declines in academic engagement during remote schooling affected many schools, the potential for learning loss was significantly higher in lower-income communities. A thorough examination of end-of-grade level assessment data revealed a concerning trend of declining Math and Language Arts performance post-pandemic. Research limitations/implications One of the major limitations that the authors have faced in this research is that the authors did not have access to the individual/household level data regarding the high-speed internet connection, household income, poverty level and other relevant socio-economic variables. That made it impossible to control for variables of interest, and hence a distinction between correlation and causation was not possible. Practical implications Learning loss implications can be potentially long-term and complex. Therefore, targeted and intentional interventions are essential to decrease the disparity gaps, increase resources and raise learning levels to exceed prepandemic outcomes. Such interventions can impact skill development and the potential for future economic success, both individually and collectively. Social implications The findings underscore the urgent need for targeted interventions to address the digital disparities intensifying learning loss in Clayton County, Georgia. Effective strategies must prioritize equitable access to internet resources and technology, particularly for students in high-poverty areas. By bridging these gaps, schools and communities can reduce the potential for long-term consequences of pandemic-induced learning loss and create pathways for a more equitable future in education. Originality/value The main idea of this paper is to compare and contrast the learning losses in K-12 education after the COVID-19 pandemic within neighboring counties and see if the digital divide and/or poverty had any impact on the extent of those learning losses.

The economic burden of bipolar disorder: a case study in Southern Iran

BackgroundBipolar Disorder (BD) imposes considerable economic and social burdens on the community. Therefore, the present study aimed to determine the economic burden of bipolar disorder in patients referred to single-specialty psychiatric hospitals at the secondary and tertiary care level in 2022.MethodsThis partial economic evaluation was conducted as a cross-sectional study in the south of Iran in 2022, and 916 patients were selected through the census method. The prevalence-based and bottom-up approaches were used to collect cost information and calculate the costs, respectively. The data on Direct Medical Costs (DMC), Direct Non-Medical Costs (DNMC), and Indirect costs (IC) were obtained using the information from the patients’ medical records and bills as well as the self-reports by the patients or their companions. The human capital approach was also used to calculate IC.Findings: The results showed that in 2022, the annual cost of bipolar disorder was $4,227 per patient. The largest share of the costs was that of DMC (77.66%), with hoteling and ordinary beds accounting for the highest expenses (55.40%). The shares of DNMC and IC were 6.37% and 15.97%, respectively, and the economic burden of the disease in the country was estimated at $2,799,787,266 as well.ConclusionIn general, the costs of bipolar disorder treatment could impose a heavy economic burden on the community, the health system, the insurance system, and the patients themselves. Considering the high costs of hoteling and ordinary beds, it is suggested that hospitalization of BD patients be reduced by managing treatment solutions along with prevention methods to reduce the economic burden of this disease. Furthermore, in order to reduce the costs, proper and fair distribution of psychiatrists and psychiatric beds as well as expansion of home care services and use of the Internet and virtual technologies to follow up the treatment of these patients are recommended.

THE FUTURE OF FOOD CULTURE FROM HOMO SAPIENS TO HOMO VIDENS: A STUDY ON QUICK RECIPE VIDEOS ON SOCIAL MEDIA

Preparation of meals, presentation, table rules and special occasion meals are passed down from generation to generation by the family and the environment and passed on to the future. For this reason, food cultures differ from society to society. Food culture, which is a proof of the cultural richness of humanity, is an important resource for gastronomy tourism. Due to the increasing use of internet technology, mobile devices and social media tools by people today, it should be considered that social media tools have a significant impact on learning food culture and transferring it to future generations. Starting from this point, this research aims to examine the application behavior of the recipes in the quick videos shared on social media by the users within the scope of the theory of planned behavior. In this research, TikTok and Instagram were chosen as social media applications. As a result of the research, it was found that the behavioral control, attitude and subjective norm perceived by the participants regarding the quick recipe videos published in these applications had an impact on their intention to apply these recipes, and the intention affected their behavior in applying these recipes. Furthermore, it was understood that the feeling of trust towards the chefs had a partial mediating role between intention and behavior.