Optimization and Innovation of the Operation Model of Mobile Social E-commerce under AI Empowerment:Taking the Female Community Platform“Little Red Book”as an Example

This article takes the female community platform“Little Red Book”as an example to explore the optimization and innovation of mobile community e-commerce operation mode under Artificial Intelligence(AI)empowerment.Firstly,the relevant concepts were defined,and then the unique attributes of mobile community e-commerce were analyzed.As a typical representative of mobile community e-commerce,Little Red Book introduces the background and characteristics of its platform,analyzes its mobile community operation mode,and focuses on exploring how to establish a mobile community e-commerce platform and effective operation mode under the empowerment of AI technology,to provide some reference and inspiration for the development and operation of Little Red Book and other e-commerce platform enterprises.

Leveraging User-Generated Comments and Fused BiLSTM Models to Detect and Predict Issues with Mobile Apps

In the last decade, technical advancements and faster Internet speeds have also led to an increasing number ofmobile devices and users. Thus, all contributors to society, whether young or old members, can use these mobileapps. The use of these apps eases our daily lives, and all customers who need any type of service can accessit easily, comfortably, and efficiently through mobile apps. Particularly, Saudi Arabia greatly depends on digitalservices to assist people and visitors. Such mobile devices are used in organizing daily work schedules and services,particularly during two large occasions, Umrah and Hajj. However, pilgrims encounter mobile app issues such asslowness, conflict, unreliability, or user-unfriendliness. Pilgrims comment on these issues on mobile app platformsthrough reviews of their experiences with these digital services. Scholars have made several attempts to solve suchmobile issues by reporting bugs or non-functional requirements by utilizing user comments.However, solving suchissues is a great challenge, and the issues still exist. Therefore, this study aims to propose a hybrid deep learningmodel to classify and predict mobile app software issues encountered by millions of pilgrims during the Hajj andUmrah periods from the user perspective. Firstly, a dataset was constructed using user-generated comments fromrelevant mobile apps using natural language processing methods, including information extraction, the annotationprocess, and pre-processing steps, considering a multi-class classification problem. Then, several experimentswere conducted using common machine learning classifiers, Artificial Neural Networks (ANN), Long Short-TermMemory (LSTM), and Convolutional Neural Network Long Short-Term Memory (CNN-LSTM) architectures, toexamine the performance of the proposed model. Results show 96% in F1-score and accuracy, and the proposedmodel outperformed the mentioned models.

Software and Mobile Apps as a Strategy for Productivity Improvement in the Construction Industry

The construction industry, known for its low productivity, is increasingly utilising software and mobile apps to enhance efficiency. However, more comprehensive research is needed to understand the effectiveness of these technology applications. The PRISMA principles utilised a scoping review methodology to ascertain pertinent studies and extract significant findings. From 2013 onwards, articles containing data on mobile applications or software designed to enhance productivity in the construction sector were obtained from multiple databases, including Emerald Insight, Science Direct, IEEE Xplore, and Google Scholar. After evaluating 2604 articles, 30 were determined to be pertinent to the study and were subsequently analysed for the review. The review identified five key themes: effectiveness, benefits, successful implementation examples, obstacles and limitations, and a comprehensive list of software and mobile apps. In addition, 71 software and mobile apps have shown potentially how these technologies can improve communication, collaboration, project management, real-time collaboration, document management, and on-the-go project information and estimating processes in the construction industry, increasing efficiency and productivity. The findings highlight the potential of these technologies such as Automation, Radio-Frequency Identification (RFID), Building Information Modeling (BIM), Augmented Reality (AR), Virtual Reality (VR), and Internet of Things (IoT) to improve efficiency and communication in the construction industry. Despite challenges such as cost, lack of awareness, resistance to change, compatibility concerns, human resources, technological and security concerns and licensing issues, the study identifies specific mobile applications and software with the potential to enhance efficiency significantly, improve productivity and streamline workflows. The broader societal impacts of construction software and mobile app development include increased efficiency, job creation, and sustainability.

Design on PKI-Based Anonymous Mobile Agent Security in E-Commerce

The security of mobile agent directly decides its usage width in e-commerce. Especially, to protect users＇ private information is becoming more important now and future. So an anonymous mobile agent security mechanism with the secure authentication infrastructure based on PKI （public key infrastructure） is proposed in the paper. The multi-agent system is programmed by java language and every agent must register itself in CA （certificate authority） before working in the net and express his legit identity which is temptly produced and used only once. The CA ensures the legal of all agents＇ identity which take part in communicaiton or trade. And every user agent identity only is used once which makes other agents cannot decipher users＇ private information. The security mechanism of the multi-agent system implements anonymity, integrity, data confidentiality of mobile agent based on the MH（multiple hop） integrity protection regard to PKI limit.

To Explore the Innovation of Mobile E-commerce Model in Service Industry From the Perspective of Supply Chain

This paper analyzed the service supply chain of the domestic industry, tourist industry, information service industry in the mobile e-business environment, according to the function of different participators in supply chain and their relationship between each other, this paper obtained different patterns of different industry in the mobile e-commerce environment.

基于HTML5+jQuery Mobile的移动学习平台Web App研究与实现

以传统教学资源网站为基础,利用HTML5与jQueryMobile框架快速开发基于移动浏览器的WebApp,构建移动学习平台的一种方案。

基于HTML5和jQuery Mobile的移动学习APP设计与实现

介绍一种快速开发移动学习APP的方法,其中包括使用jQuery Mobile框架实现UI的设计,使用HTML5技术及其Web Storage实现数据存储,以及使用PhoneGap编译成Native App等。

Research on Blended Teaching Model in College English Based on Mobile Learning App

Mobile learning is the general trend of the times and the inevitable choice for the reform and development of college English teaching.This article attempts to use blended learning theory,mobile learning theory,and instructional design theory as a guide.In many English mobile learning apps,Superstar Learning Link is used as an example to design an online and offline blended teaching mode.It proposes thinking expansion and interaction in pre-class stage.Consolidation of input and outputoriented process are during class and evaluation and sublimation are made after class.The essay is aimed to break the boundaries between traditional teaching and mobile learning,combining synchronous learning with personalized learning in order to improve comprehensive levels of English.

What leads to readers' satisfaction with the mobile news apps service? An investigation into the roles of content originality and user experience

Purpose: This study aims to explore whether content originality and user experience have positive effects on online news readers’ satisfaction with the mobile apps service.Design/methodology/approach: Data was collected via a Web-based survey. Data analysis of this study can be divided into two stages. In the first stage, a descriptive statistical analysis was conducted based on a sample of 612 respondents. In the second stage, the correlation among content originality, user experience and satisfaction was analyzed based on a sample of 377 mobile news apps users. Findings: Results of the first stage showed that social media and mobile news apps were the most important tools for users to access news, and different types of media were playing complementary roles in information transmission. Users held a positive attitude toward their mobile news reading experience and they described news they read on mobile apps with such words as "interesting", "instant", "positive", "profound", and "ironic". Results of the second stage confirmed our hypothesis that content originality and user experience both had positive impacts on user satisfaction.Research limitations: The questionnaires were distributed entirely online, so the sample may not be representative of the general population being studied and thus undermine the reliability and generalization of the findings to some extent. Moreover, this study adopted only one method(survey) and more methods such as interviews can be used to improve the accuracy of the results.Practical implications: The findings of this study can not only provide insights into a better understanding of users’ mobile reading behavior, but also help mobile information service providers attract more users.Originality/value: This is one of the first studies to explore the effects of content originality and user experience on online news readers’ satisfaction with the mobile apps service.

How mobile messaging apps users share information on WeChat: The role of demographic variables

Purpose： We conducted an empirical study to find out the role of demographic variables in affecting information sharing behaviors of college student users of WeChat.Design/methodology/approach： A questionnaire survey was carried out to investigate the relationship between demographic variables （gender, grade level, dating status, and singleparent family background） and information sharing behaviors of WeChat users. The participants were college students and a total of 255 valid questionnaires were collected. Data was analyzed using descriptive statistics and multiple regression analysis.Findings： Grade level and single-parent family background were found to be significantly correlated with information sharing behaviors whereas no effect of gender was found on information sharing behaviors. Dating status had no significant impact on user browsing behavior, but was related to users＇ publishing posts and posting replies.Implications： The study will help understand individual differences in information sharing among WeChat users.Limitations： First, the relatively small sample size is a limitation in exploring the effects of demographic variables on user information sharing behaviors. Second, this study only used questionnaire surveys to collect data and more research methods such as interviews should be adopted to improve the accuracy of the study results.Originality/value： This paper is one of the first studies to explore the relationship between demographic variables and user information sharing behaviors on WeChat.

The Application of Mobile APP in English Learning in Senior Middle School

When students enter high school, they have a vague sense of adult psychologically, they have the desire to be independent and creative, and their confidence in their own ability is rising day by day. However, in foreign language learning, they still lack the ability of practice and self-study in foreign language learning. In particular, English teaching is limited to the traditional classroom teaching methods, it is difficult to arouse the enthusiasm of the students in higher vocational education. Using the advantages of App to apply it to English teaching can make the teaching mode interactive and fresh. At the same time, it has a convenient feedback mechanism, teachers can guide students to discuss and study outside the classroom, adjust the teaching arrangement in time, and achieve the real "student-centered".

Online and Offline Android Based Mobile Application for Mapping Health Facilities Using Google Map API. Case Study: Tanzania and Kenya Borders

The evolution of technology in 1990s resulted in the enormous growth of smartphones and the propagation of mobile applications (App) that marked new opportunities for healthcare centers and medical education. Apps have altered health services from patient’s health monitoring to specialist’s appointments and consultations from specialized health facilities. It can be argued that a healthy society can bring forth sustainable economic development to its full potential while an unhealthy society cannot. However, a free movement of people, labour and right to residence which was built across East Africa (EA) borders enabled Tanzania and Kenya borders to have enormous interactions. Subsequently, increase the risk of highly communicable diseases such as Tuberculosis and Sexually transmitted infections in such a way that medical attention is unavoidable along the borders. Statistically, Android Operating System (OS) owns 83% of Africa’s mobile OS market. In addition, 25,794,560 internet users reported by Tanzania Communications Regulatory Authority (TCRA) together with the 22.86 million internet users provided by Kenya Digital which is equivalent to 46% and 43% of internet penetration in year 2020, disclose the need for Android mobile application for mapping health facilities both online and offline using Google map API, which will solve residents’ need to healthcare services on the presence or shortage of internet connections;using either Swahili or English language via Smartphone devices. The App incorporates Monitoring and Evaluation (M & E) tool for tracking application usage which will ease Admin’s task to generate daily and monthly reports in Excel and Comma-Separated Values (CSV) formats. The developed system received positive feedback from EA citizens and residents in the Arusha region and Namanga border crossing where 90.2% of the system evaluation conducted between Dec 2020 and Apr 2021 agreed upon App usage.

Characteristics Classification of Mobile Apps on Apple Store Using Clustering

This research is interested in the user ratings of Apps on Apple Stores. The purpose of this research is to have a better understanding of some characteristics of the good Apps on Apple Store so Apps makers can potentially focus on these traits to maximize their profit. The data for this research is collected from kaggle.com, and originally collected from iTunes Search API, according to the abstract of the data. Four different attributes contribute directly toward an App’s user rating: rating_count_tot, rating_count_ver, user_rating and user_rating_ver. The relationship between Apps receiving higher ratings and Apps receiving lower ratings is analyzed using Exploratory Data Analysis and Data Science technique “clustering” on their numerical attributes. Apps, which are represented as a data point, with similar characteristics in rating are classified as belonging to the same cluster, while common characteristics of all Apps in the same clusters are the determining traits of Apps for that cluster. Both techniques are achieved using Google Colab and libraries including pandas, numpy, seaborn, and matplotlib. The data reveals direct correlation from number of devices supported and languages supported to user rating and inverse correlation from size and price of the App to user rating. In conclusion, free small Apps that many different types of users are able to use are generally well rated by most users, according to the data.

Arabic Sentiment Analysis of Users’ Opinions of Governmental Mobile Applications

Different types of pandemics that have appeared from time to time have changed many aspects of daily life.Some governments encourage their citizens to use certain applications to help control the spread of disease and to deliver other services during lockdown.The Saudi government has launched several mobile apps to control the pandemic and have made these apps available through Google Play and the app store.A huge number of reviews are written daily by users to express their opinions,which include significant information to improve these applications.The manual processing and extracting of information from users’reviews is an extremely difficult and time-consuming task.Therefore,the use of intelligent methods is necessary to analyse users’reviews and extract issues that can help in improving these apps.This research aims to support the efforts made by the Saudi government for its citizens and residents by analysing the opinions of people in Saudi Arabia that can be found as reviews on Google Play and the app store using sentiment analysis and machine learning methods.To the best of our knowledge,this is the first study to explore users’opinions about governmental apps in Saudi Arabia.The findings of this analysis will help government officers make the right decisions to improve the quality of the provided services and help application developers improve these applications by fixing potential issues that cannot be identified during application testing phases.A new dataset used for this research includes 8000 user reviews gathered from social media,Google Play and the app store.Different methods are applied to the dataset,and the results show that the k nearest neighbourhood(KNN)method generates the highest accuracy compared to other implemented methods.

Behavioral Intention to Continue Using a Library Mobile App

To meet the needs of today’s library users,institutions are developing library mobile apps(LMAs),as their libraries are increasingly intelligent and rely on deep learning.This paper explores the influencing factors and differences in the perception of LMAs at different time points after a user has downloaded an LMA.A research model was constructed based on the technology acceptance model.A questionnaire was designed and distributed twice to LMA users with an interval of three months to collect dynamic data.The analysis was based on structural equation modeling.The empirical results show that the perceived ease of use,the perceived usefulness,the social influence,and the facilitating conditions affected the users’behavioral intention,but their impacts were different at different times.As the usage time increases,the technology acceptance model is still universal for understanding the user perception of LMA.In addition,two extended variables(social impact and convenience)also affect the user’s behavior intention.User behavior is dynamic and changed over time.This study is important both theoretically and practically,as the results could be used to improve the service quality of LMAs and reduce the loss rate of users.Its findings may help the designers and developers of LMAs to optimize them from the perspective of a user and improve the service experience by providing a deeper understanding of the adoption behavior of information systems by LMA users.

Development of IoT Based Mobile Robot for Automated Guided Vehicle Application

Mobile robot has been one of the researches focuses in this era due to the demands in automation.Many industry players have been using mobile robot in their industrial plant for the purpose of reducing manual labour as well as ensuring more efficient and systematic process.The mobile robot for industrial usage is typically called as Automated Guided Vehicle(AGV).The advances in the navigation technology allows the AGV to be used for many tasks such as for carrying load to pre-determined locations sent from mobile app,stock management and pallet handling.More recently,the concept of Industry 4.0 has been widely practiced in the industries,where important process data are exchange over the internet for an improved management.This paper will therefore discuss the development of Internet of Things(IoT)bases mobile robot for AGV application.In this project a mobile robot platform is designed and fabricated.The robot is controlled to navigate from one location to another using line following mechanism.Mobile App is designed to communicate with the robot through the Internet of Things(IoT).RFID tags are used to identify the locations predetermined by user.The results show that the prototype is able to follow line and go to any location that was preregistered from the App through the IoT.The mobile robot is also able to avoid collision and any obstacles that exist on its way to perform any task inside the workplace.

Development and Application of Interactive College English Mobile learning Platform

Abstract： For the feature of Android system, a college English interactive platform is designed in this paper. According to the designing rules of study interface, design principles and learning function design of learning interaction, corresponding rules are set first. Then the overall system structure are analyzed and sub-modules of system are designed. whicb is packaged each. The database of system is also designcd and detailed realization scheme is provided. During the process of application, the fimction module is realized respectively and all the modules get organic combination by module calling. the system performance test indicate thai our scheme can satisfy the demand of users and it improve the study efficiency for graduates in interactive English learning.

Comprehensive English Assessment System Based on Mobile APPs

Comprehensive English is a professional basic course for English majors,with the most class hours and the highest credits.It can be said to be the most important course in English majors.However,the procedural assessment in the previous comprehensive English assessment system,that is,the usual assessment,was largely determined based on the subjective impression of teachers.However,with the emergence of various English learning apps,students’learning methods and content have changed a lot.With major changes,the previous assessment system has not been able to play its due role.Designing a reasonable comprehensive English assessment system based on mobile APP is the unshirkable responsibility of comprehensive English teachers.Carefully and reasonably designed comprehensive English assessment system can promote students to improve learning efficiency,reduce classroom lecture time,improve teaching effect,and play a vital role in cultivating qualified English professionals.

The Application of Mobile Phone APP in the Follow-up Management of Hospital

Objective:Explore the application of mobile phone APP in the follow-up management of hospital in the information age,to build a harmonious doctor-patient relationship,improve the effective follow-up rate and promote the rehabilitation of patients.Methods:Compare and analyze the traditional telephone follow-up mode and the mode of mobile phone APP with telephone follow-ups.Results:In 2016,with telephone follow-ups only,the effective rate was 91.3%,the patient satisfaction rate was 92.6%.In 2017,besides telephone follow-ups,we used mobile phone APP,the effective follow-up rate got up to 96.2%,the satisfaction rate of patients got up to 98.1%.Conclusion:Compared with the traditional follow-up model,mobile phone APP follow-up model can improve the clinical follow-up service and the compliance of patients,help to reduce failures of follow-up.With mobile phone APP,it’s much more convenient and effective for doctors to communicate with patients,and it is better for the rehabilitation of patients with disease.

Research of Applying Semiotic Theory in Interface Design of Mobile Phone

Mobile phone has become the most important daily device in modern society since 21 stcentury. What's more, it will continue to play a significant role in people's daily life in the foreseeable near future. An outstanding interface design can not only bring convenience to users, but also strengthen users' experience feelings and give customers more fun and joy. This paper is mainly about how to use semiotic theory in the application of phone interface design. By analyzing basic elements of signal transmission as well as"Triplet Theory"in semiotics, and practicing every single element in the design, the value of semiotics application can be clearly shown. That is, to help interface designer understand customers better and fulfill their needs more accurately and to accomplish fantastic designs in mobile interface.