Number Of Online Users Research Articles

Цифровий маркетинг та дизайн вражень у роздрібній торгівлі

The rapid spread of digital technologies, changes in consumer behavior, and the growth in the number of online users have led to changes in the business models of retail enterprises. Among them, the most common are: online store, electronic bulletin board, electronic market­place, price aggregator. These business models involve the use of digital marketing methods and instruments. At the same time, taking into account the principle of omnichannel in digital marketing, it is important to ensure that consumers can make purchases in physical stores. Such additional opportunities will allow forming positive impressions of consumers. The aim of the article is to justify digital methods and instruments in creating consumer impressions. When conducting the research, general scientific methods of analysis and synthesis, system-structural analysis, comparison, systematic, logical generalization were used. The article proposes to apply the concept of impression design, which allows you to align the goals and instruments of digital marketing with interaction points on the consumer’s digital journey by areas of impression detection. This ensures the formation of a unique experience for each user based on positive impressions that are planned by the enterprise. For impression planning, it is important to form a list of interaction points based on the constructed CJM-map of the consumer’s path. Simultaneously with the methods and instruments of digital marketing of retail enterprises, it is recommended to use the latest approaches in planning consumer experiences, which includes the design of experiences. The design and delivery of planned experiences occurs at every interaction point in the consumer journey in the digital environment, both online and offline. Knowledge of the target audience and systematic work on identifying shortcomings and their elimination at each point of interaction will contribute to the formation of positive impressions, sustainable associations with the brand, improving the image and improving the user experience. This will help to achieve the goals of digital marketing and business as a whole.

Research on Tourism English Translation System Based on Fuzzy Clustering Algorithm

The emergence of economic globalization and the Internet have precipitated extensive and profound international exchanges and collaborations. Language barriers have surfaced as the primary impediment to effective international communication and cooperation. This study is dedicated to the development of a tourism English translation system utilizing the fuzzy clustering algorithm. The system's functionalities undergo testing and validation through black box testing. Key performance indicators like response time and throughput are scrutinized to evaluate the system's effectiveness. The performance evaluation involves monitoring specific checkpoints in test cases to ascertain whether the system aligns with the essential performance criteria. The system's response time and throughput take the forefront in this educational system assessment. Use-cases are categorized based on the number of online users, with the client's response time being assessed in each scenario. Successful completion of the criteria deems a use case qualified; conversely, failure designates it as unqualified, with any system deficiencies recorded within the testing framework. Data analysis reveals that the integration of the enhanced PCM algorithm elevates C-FCA's clustering data accuracy to 95%. Consequently, the findings signify that the fuzzy clustering algorithm significantly amplifies the precision of the tourism English translation system.

Cryptocurrency Trading BoT Using Python

Abstract: Our daily life has been merged online and they become more flexible and more effective. A huge growth in number of online users has activated virtual word concepts and created a new business phenomenon which is cryptocurrency to facilitate the financial activities such as buying, selling and trading. Cryptocurrency represent valuable and intangible objects which are used electronically in different applications and networks such as online social networks, online social games, virtual worlds and peer to peer networks. The use of virtual currency has become widespread in many different systems in recent years. At present, trading is done by human which is a hectic work. The first disadvantage is that we analyze the chosen cryptocurrency will rise or fall in value and buy or sell as per our strategies which is not accurate and efficient always, the second one is that we need to keep a watch every second to cope with loss, which is not possible for a human. We can use a bot that can trade by itself to maximize the profit. The bot function by taking the relative strength index (RSI) of the coin and calculates the selling price and buying price for the existing price. This can help the user to gain profit and be relaxed in the fluctuation period of the coin. These bots help capitalize on market opportunities and cut down time spent on monitoring.

Analysis of the Effect of Usability, Trust, and Risk Perception on Buying Interest in the Purchase Category of Mobile and Tablet Products through the ABC Application

The rapid growth in the number of online users is not directly proportional to the increase in online sales of gadgets (mobile phones and tablets) which have stagnated with a declining trend. This study was conducted with the aim of analyzing the effect of usability, trust, and perceived risk on purchase intention. This research uses the causal research method and descriptive analysis. Meanwhile, examining all research problems is done by distributing questionnaires in several places. The scale used in this measurement uses a Likert scale. The population in this study is ABC application users. Then the sampling method is probability sampling (random sampling) with the sampling method using a random sampling technique. The data in this study uses Partial Least Square (PLS) analysis with the help of the SmarPLS version 3.0 program. The results of the study show that: 1) Ease of use, easy to understand, and can provide benefits for an application proven to have a positive and significant effect on purchase intention, 2) Consumer trust is proven to have a positive and significant influence on purchase intention, and 3) Risk is proven to have a positive influence on purchase intention. negative and significant to purchase intention.

SEGMENTS OF AUDIENCES AND TARGETING OPPORTUNITIES IN GOOGLE ADS

The article considers the features of using the Google Ads as a program for Internet marketing. The number of online users is growing every year in the world and in Ukraine. People spend more time online than in any shopping mall, financial institution, leisure facility, etc. That’s why using of Google Ads to promote products, services and businesses has become an integral part of a successful advertising campaign. As a rule, Internet marketing specialists are engaged in researching the application possibilities of Google Ads from different digital-agencies. Scientists usually focus their attention on the definition of “Internet marketing”, “Digital-marketing” etc. That’s why we’re exploring the features of targeting in Google Ads based on a tool from a practical perspective. This article also substantiates the importance and value of using Google Ads to promote goods and services. The main audience segments for targeting, which are available in Google Ads, are defined and structured in the article. Four groups of segments were identified: Google segments, Data segments (information from website, mobile application, YouTube, database and lal-audience, Custom segments, Combined segments. By demographic characteristics, Google Ads gives an opportunity to choose targeting based on age, gender, family income, marital status, presence of children, education and others. An important part of running ads in Google Ads is selecting geotargeting. It can be a country, city, district or radius location. Equally important is the choice of devices on which advertising will be displayed – computers, tablets, smartphones, TVs. Google Ads also provides an opportunity to target users of specific mobile operators. All of these features form a significant advantage of Google Ads over other tools.

Unicepts Technologies: Need for Growth Strategy

This case describes a situation where Vivek Vyas and Vimal Popat, first-generation entrepreneurs, started their venture shradhanajali.com in June 2011 by bootstrapping with an initial investment of ₹1.5 million. The monthly revenues ranged between ₹65,000 and ₹80,000. Shradhanjali.com garnered customers from major parts of India, the United States, Canada, the United Kingdom and Africa, whose primary need was to relive memories of their loved ones and pass on their legacy to their descendants. It was in 2018 when Vyas and Popat, co-founders of shradhanjali.com, were in their office at Rajkot, Gujarat, reading a report by The Internet and Mobile Association of India, which claimed that the number of online users would rise to more than half a billion by 2018. Looking at the report, Popat told Vyas that their goal to have 20,000 subscribers by 2020 could be fulfilled by expanding their presence in different parts of India and by rolling out a mobile application, to which Vyas mentioned finding a way to enter the global market as the population of overseas Indians was 30,843,419 as of December 2016. The purpose of this case is to provide an opportunity for the participants to step into the shoes of Vyas and Popat and to plan a way towards the growth strategy of shradhanjali.com by answering what route should be adopted in order to achieve the goal of 20,000 subscribers till 2020 (expanding presence in India and/or in the global markets). This case is also ideal for teaching the Business Model Canvas, which is fast gaining centre-stage for modern enterprises. The instructors are advised to use role-play and structured discussions to find the solution. Participants are to consider the data given on shradhajali.com, make assumptions and devise a solution for Vyas and Popat.

Effectiveness of Artificial Intelligence Multimedia Courseware in Classroom Teaching Application.

In the information age, traditional teaching methods can no longer meet the needs of modern students, and the emergence of multimedia courseware teaching mode just solves this problem. Under the trend of education integration, multimedia courseware is becoming more and more important in classroom teaching. Aiming at the characteristics of AI multimedia courseware classroom teaching mode, we discuss the practical application of AI multimedia courseware in classroom teaching and study the classroom teaching mode. Building a distance education platform through network technology can promote the education level. At the same time, the interactive distance education platform serves as a new network platform for system users in the website. In order to speed up the process of education informationization and improve the quality of education, this paper uses .NET technology and video transmission technology to design and implement a multiperson video conversation interactive distance education platform. Through the comparative experiment of two classes in Chengguan Middle School, using this platform for teaching, the average grade of students and the average grade of each course are better than the average grade of nonplatform classes, and the student's cognitive level has improved and is higher than the same level class. The results show that this platform can support a large number of online users and is very good for students of different majors. Through flexible and interactive course interaction, students are more convenient and more independent to learn but also reduce the teacher's time cost and greatly play the advantages of distance education, and the English teaching mode of artificial intelligence multimedia courseware is very popular with students. More than 60% of teachers are satisfied with the teaching mode and above.

Online pharmacy: customer profiling

Abstract Introduction: Nearly three out of four European citizens purchase goods online. The main advantages of using an online pharmacy are lower prices and convenience. In addition, patients appreciate a higher degree of privacy and access to a wider selection of health products. Study shows that the number of online users is on the rise in major countries like the USA, EU member states or India. Methods: The study is based on data collected in April 2020 at the country level (Romania) from a sample of 789 adults over the age of 18, using CATI. A simple random sampling procedure was applied, with a confidence interval of 3.5% and a confidence level of 95%. Results: About 17.7% of Romanians have purchased healthcare products through online pharmacies or drugstores, of those 60% are women, between 30 - 64 years old (84 %), have a monthly income of more than 2700 lei (90%), and a university degree (76%). The most common reasons for choosing an online pharmacy are the ability to compare prices, shop quickly, and have prompt access to items and information, together with a wider range of products. Conclusions: Respondents’ motivation to use online pharmacies appears to be more related to the benefits of the online media, rather than to some unmet needs in brick-and-mortar pharmacies. Search capabilities, access to more information, price comparison, as well as a larger range of products and availability 24/7 are some reasons why patients utilise online pharmacies to purchase medicines.

Empirical Research on Cosmetic Lipstick Sales under C2C E-Commerce Platform for Consumers’ Buying Intention in Dazhou of China

With the development of e-commerce and the accelerating pace of work and life, more and more people accepted online shopping. The number of online users in China increased, and the mobile network platform had gradually matured with the acceleration of development in the C2C e-commerce transaction model. The paper mainly analyzed the challenges of developing cosmetic lipstick marketing in Dazhou City, then explored the influencing factors to purchase intention, and lastly suggested a promotional strategy regarding pre-and after-sales.

Spark Performance Optimization Analysis With Multi-Layer Parameter Using Shuffling and Scheduling With Data Serialization in Different Data Caching Options

As social networking services and e-commerce are growing rapidly, the number of online users also dynamically growing that facilitate contribution of huge contents to digital world. In such dynamic environment, meeting the demand of computing is very challenging special with existing computing model. Although Spark is recently introduced to alleviate the problems with concept of in-memory computing for big data analytic with many parameters configuration that allow to configure and improve its performance, still it has performance bottleneck which require to investigate performance improvement mechanism by focus on the combinations of Scheduling and Shuffle Manager with data serialization with intermediate data caching options. Standalone cluster computing model was selected as experimental methodology with submit command line for data submission. Three Spark application such as WorkCount, TeraSort and PageRank were selected and developed for experiment. As a result, 2.45% and 8.01% performance improvement are achieved in OFFHEAP and Memory Only Ser data caching option, respectively.

The Effect of E-Servicescape, Website Trust and Perceived Value on Consumer Online Booking Intentions: The Moderating Role of Online Booking Experience

Nowadays, there has been a rapid growth in the number of online users, which only indicates that technology is becoming even more popular. Therefore, maintaining an effective website has become essential for businesses to gain a competitive advantage. Nevertheless, the understanding of e-servicescape attributes remains unclear, especially in the tourism and hospitality sector. Therefore, this study aims to explore how the e-servicescape of a third-party website affects consumers’ behavior by developing a research model. A structural equation model was utilized to test the conceptual model. The findings suggest that both aesthetic appeal and layout & functionality can affect website trust and perceived value. Financial security affects perceived value but does not affect website trust. Both website trust and perceived value can affect online booking intentions. Furthermore, high-experienced consumers tend to have higher website trust and perceived value than less-experienced ones. Our findings provide managers with new guidance on designing and developing effective third-party websites.

A survey of shopping changes under COVID-19

Before COVID-19, less than 7% of annual American grocery sales took place online. We hypothesize that during the COVID-19 pandemic, shoppers have decreased in-person shopping and increased online shopping. We conducted a survey of 780 grocery shoppers in five Northeastern states in May 2020. The percent of groceries purchased online increased from 8.4% pre-COVID-19 to 21.1% during COVID-19, whereas the percent of purchases from physical stores declined from 85.3% to 72.4%. Increases in online purchases resulted from 1) an increase in the number of online users, and 2) an increase in the amount purchased online by pre-COVID-19 online users. © 2021, Food Distribution Research Society. All rights reserved.

YouTube’s Role in Destination Image Creation

Contemporary promotion of tourist destinations represents a challenge and gives rise to many questions in a regard to numerous ways of communicating and transferring information. With concern to modern communication practices in society and due to fast-paced lifestyle, individuals are looking for information online and are making decisions based on available Internet data. Attracting tourists through traditional promotional techniques such as brochures, leaflets, printed guidebooks, fairs and festivals are unsufficient with a respect to the rising number of online users. Promotion of tourism is based on destination image which is created through direct or mediated experience and projected on the minds of individuals. It is greatly dependent on available information mostly visual. YouTube is a popular video sharing site that counts over one billion users. It gives open access to a great number of videos and therefore could have an important role in promoting tourist destinations. The website was firstly used for non-commercial purposes but today it is very attractive for advertisers. The author examines phenomena of YouTube and its potential for destination image creation. The aim of this article is to give an insight on characteristics of promotional videos used for tourism and to explore how various national and local tourist boards can use them on YouTube. The author identifies the public relations profession’s role in creation of promotional audio-visual material.

E-Banking Service Quality and Customer Satisfaction: An Exploratory Study on India

E-commerce has revolutionised the entire business economy. With benefits such as hassle-free, quick and real-time banking, internet banking offers immense benefits to today's consumers. In spite of these benefits, online banking still lacks far behind the number of online users in India. To ensure greater participation in online banking, banks need to understand customer's perception towards e-service quality. Customers perceive these services as quality attributes. The study attempts to examine the determinants of e-banking service quality and their impact on customer satisfaction. Based on convenient sampling, the study used primary data of two private sector banks in Delhi region to produce a 5-factor structure. The exploratory factor analysis produces dimensions of efficiency, trust, fulfilment, responsiveness and systems critical to e-service quality satisfaction. Regression results show trust and privacy as the most critical factor influencing e-banking service quality perceptions. Further, the study provides theoretical and managerial recommendations for increasing online banking adoption and improving overall customer satisfaction. Limitations and future scope of research are further discussed.

Children’s Online Privacy from Parents’ Perspective

A considerable number of online users are either unaware of the side-effects of sharing personal information or lack adequate knowledge about their rights or means to protecting their privacy. This is even more concerning when we realize the vulnerability of children’s information in social media. Their information is often posted online by their parents or guardians, compromising their privacy. In this work, the study is separated into two phases, a survey to understand and attest current situation of parents’ perceptions of children’s online privacy, and based on the points learned, use a game-based learning in an attempt to educate parents when sharing their children’s information online. The initial findings demonstrate that although parents and guardians might have a certain level of awareness and knowledge about their children’s online privacy, some of their online actions still violate their children’s privacy. The results of both experiments show that parents need to be more aware of their actions when sharing children’s personal information, photos and videos on any social media platform. In addition, more needs to be done to develop tools and educate parents on methods to protect children’s online privacy as the use of social media is increasing.

E-banking service quality and customer satisfaction: an exploratory study on India

E-commerce has revolutionised the entire business economy. With benefits such as hassle-free, quick and real-time banking, internet banking offers immense benefits to today's consumers. In spite of these benefits, online banking still lacks far behind the number of online users in India. To ensure greater participation in online banking, banks need to understand customer's perception towards e-service quality. Customers perceive these services as quality attributes. The study attempts to examine the determinants of e-banking service quality and their impact on customer satisfaction. Based on convenient sampling, the study used primary data of two private sector banks in Delhi region to produce a 5-factor structure. The exploratory factor analysis produces dimensions of efficiency, trust, fulfilment, responsiveness and systems critical to e-service quality satisfaction. Regression results show trust and privacy as the most critical factor influencing e-banking service quality perceptions. Further, the study provides theoretical and managerial recommendations for increasing online banking adoption and improving overall customer satisfaction. Limitations and future scope of research are further discussed.

Improving QoS by Enhancing Media Streaming Algorithm in Content Delivery Network

Media streaming has gained popularity due to convenience of playing it at one’s own leisure. It demands for smooth playing of media. However,with the increasing trend of media streaming and number of online users, it is getting difficult for content providers of popular media contents to handle media playing requests for popular media files. The number of simultaneous requests for media contents may affect uniform delivery of media contents and can lead to lower engagement of end-users.Content Delivery Network (CDN) plays an important role in streaming popular media contents by satisfying end-users’ requests through surrogate servers. However, in order to enhance end-users experience, it is not sufficient to only reduce response time of media segments. It also requires to have lesser number of stalls during media streaming. This entails for redirecting requests to suitable surrogate servers as well as managingthetime duration between delivery of subsequent segments of a media file.The proposed methodnamed Stall Aware Media Streaming (SAMS) focuses on enhancing end-users experience by reducing wait time during media streaming.It keeps track of the possibility of stalls during media streaming and adjusts the media segments delivery rate to end-users accordingly. This results in meeting Quality of Service (QoS) requirement of end-users for media streaming in a better way by content providers.

Fandomization of online video or television in China

In this article, I explain a new media ecology for online television in which the online audience or fans and their participation play a stronger role in swaying the online video content or production. I call it fandomization of online television. Dependent on the number of online users and the viewership, online television platforms have to produce programs that align with the fans’ discourse and emotions to maximize their viewership. This results in a fan-discourse-led production, as in the case of China’s huge online video or television market. Based on my study of the top online television production company, Tencent Video, and its top television program, as well as ethnographic observations of their productions, I illustrate how Tencent Video manages fans by establishing a fan-based platform that works in tandem with its television platform. The dual television and fan-based platform of the television industry forms an interlocking web of the network of fans, their idols, and social media, with the consequences that social and political public discourse are highly synchronized in China’s extremely controlled Internet.

Investigating how online shopping platform users contribute to improving the businesses’ performance: empirical evidence from Romania

Abstract The purpose of this paper is to identify how online shopping platform users in Romania influence businesses’ performance. The emergence of e-commerce has led to a revolution in global commerce by diversifying and improving sales and purchasing actions for existing products and services on the market. In Romania, buyers’ behaviour shows a more restraining of online commerce behaviour. Most sales are still registered according to the classic system of physically going to stores, although the number of online users has grown significantly over the last decade. The reluctance of buyers to buy from the online environment leads to the low performance of companies in the e-commerce market. The hypothesized model is empirically tested using data collected from a survey on Google Analytics platforms of some online companies in Romania. The authors used SPSS Software to examine the reliability and validity of the measurement model. There have been analysed various links between some variables that were obtained from Google Analytics, data that were collected by age groups, gender or geographical area. Through an empirical analysis is being analysed the role of tracking data on the websites in order to improve company performance. By analysing those variables, the authors analysed if the number of sessions acquired, the bounce rate of the acquired visitors or other variables can improve the company performance. This study offers a new perspective on company performance in online firms. The analysis of variables describing user behaviour in the online environment in interaction with e-commerce platforms has led to conclusions about the performance of online companies. The theoretical contributions and managerial implications of the study are discussed.

Energy Efficient Resource Management Techniques in Cloud Environment for Web Based Community by Machine Learning: A Survey

Cloud computing is a platform where the services of information technology are delivered by retrieval of resource from the internet through web applications and web tools instead of using direct server. In order to offer better quality of service to the larger number of web-based community users, many companies are adopting cloud computing. A dynamic number of web-based community user are interacting with each other via cloud computing. The number of online users is not just limited to manual counting figure so it is extremely important to manage each and every resource efficiently by minimising the energy consumption. To increase the performance of the system, the concepts of machine learning can be used to solve the challenges occur in cloud computing while managing resources for online communities. In this paper, we discuss the application of machine learning in cloud environment and its effect on web-based community.