A study of user experience in Tsinghua Wireless and Mobile Digital Library System(TWIMS)

Tsinghua University Library recently launched Tsinghua Wireless and Mobile Digital Library System(TWIMS) to meet users’ need for wireless access to library services.A survey of user experience about TWIMS was carried out for the purpose of studying its users’ behavior and their level of satisfaction about the system design and its various performance indicators. Based on our research findings, we concluded our research paper with a set of evaluative comments and suggestions. Those remarks are aimed at furthering the TWIMS’ functionality and reconstructing a more sensible questionnaire survey appertaining to the system users’ experience as well in the next phase of our extended research.

A multidimensional and hierarchical model of library mobile service quality

Purpose:Based on the understanding of the characteristics of mobile services(m-services)provided by libraries,we attempt to develop a multidimensional and hierarchical model and a specifically designed measurement scale for the assessment of libraries' m-service quality.Design/methodology/approach:The research has been conducted sequentially in two stages.At the first stage,a multidimensional and hierarchical model of library m-service quality and a measurement scale are developed through literature review and focus group interviews.At the second stage the model is tested using partial disaggregation technique for an analysis of the data collected from over 400 library users in 3 Chinese universities.Findings:The proposed model is shown to fit the data well.The empirical analysis provides strong support for the model,which includes 4 dimensions(service environment,service interaction,information control and service effect) and 12 corresponding sub-dimensions.Research limitations:The sample size needs to be enlarged and the user types need to be expanded to make the sample more representative.Practical implications:The study provides a conceptual framework and measurement tool that can help library managers understand the users' needs in the context of mobile network environment,and boost their libraries' competitiveness by carrying out better services to meet the user demands.Originality/value:The proposed model and measurement scale specifically designed for the assessment of libraries' m-service quality fully reflect the hierarchical structure of libraries' m-service quality.In addition,by using partial disaggregation technique for model testing,we believe our research can serve as a practical reference to those engaged in the development and examination of a multidimensional and hierarchical model.

Factors influencing academic library users' intention to use mobile systems: A comparison of current users and potential adopters

Purpose: The study intends to examine the factors influencing the behavioral intention to use academic libraries’ mobile systems from the perspective of current users and potential adopters, respectively. Design/methodology/approach: Our study investigates the mobile library system’s acceptance by using a context-specific extension of the theory of reasoned action(TRA) and the technology acceptance model(TAM), which includes such factors as mobile self-efficacy, personal innovativeness and perceived playfulness. Structural equation modeling was used to test the validity of the proposed model based on the empirical data which was collected from 210 questionnaire survey participants.Findings: The result shows that 1) for both current users and potential adopters, attitude toward use and subjective norm both have a significant and positive impact on behavioral intention to use; 2) perceived usefulness and perceived ease of use are significantly correlated to potential adopters’ attitude toward use whereas perceived usefulness and perceived playfulness are significantly related to current users’ attitude toward use; 3) as for the comparison between the two groups of users, personal innovativeness not only affects perceived usefulness of both current users and potential adopters, but also affects potential adopters’ perceived playfulness positively. Mobile self-efficacy has a significant effect on perceived ease of use for both types of users.Research limitations: Although the sample size met the basic statistics requirements for the social research, the participants were mainly college students, and other mobile system users like faculty members and researchers were not investigated. In addition, some influencing factors, such as information quality, system quality and service quality were not considered in the research model.Practical implications: This study reveals main factors which influence both current users and potential adopters’ intention to use the mobile system, providing academic libraries withinsights into management strategies to offer customized mobile services to different types of users. Originality/value: Previous studies did not distinguish current users from potential adopters, which is not conducive for academic libraries to provide customized services and attract potential users. We presented an exploratory study to address this issue.

Exploration on the Construction of Mobile Library Service Quality Optimization Model

The emergence of science and technology and big data has promoted the emergence of major resource platforms.Mobile libraries have emerged as the world progresses.Users have put forward high requirements for service quality in the process of using mobile libraries.Optimizing service quality is one of the important topics of mobile libraries today.In our paper the mobile library service quality optimization model is constructed from three aspects,including the starting point of the optimization model,the optimization content,and the final construction.While keeping up with the pace of the times,we will meet the needs of users and enhance user satisfaction in order to promote the development and advancement of mobile libraries.

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.

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.

Recommending Friends Instantly in Location-based Mobile Social Networks

Differently from the general online social network(OSN),locationbased mobile social network(LMSN),which seamlessly integrates mobile computing and social computing technologies,has unique characteristics of temporal,spatial and social correlation.Recommending friends instantly based on current location of users in the real world has become increasingly popular in LMSN.However,the existing friend recommendation methods based on topological structures of a social network or non-topological information such as similar user profiles cannot well address the instant making friends in the real world.In this article,we analyze users' check-in behavior in a real LMSN site named Gowalla.According to this analysis,we present an approach of recommending friends instantly for LMSN users by considering the real-time physical location proximity,offline behavior similarity and friendship network information in the virtual community simultaneously.This approach effectively bridges the gap between the offline behavior of users in the real world and online friendship network information in the virtual community.Finally,we use the real user check-in dataset of Gowalla to verify the effectiveness of our approach.

An empirical study on continuance intention of mobile reading

Purpose： This study aims to explore factors affecting continuance intention of mobile reading. Design/methodology/approach： Drawing on the unified theory of acceptance and use of technology （UTAUT）, and integrating perceived enjoyment, we put forward a theoretical research model of factors affecting continuance intention of mobile reading. Using 186 valid data collected through a questionnaire survey, we conducted data analysis with the partial least squares structural equation modeling （PLS-SEM）. Findings： The results show that performance expectancy, effort expectancy, social influence and perceived enjoyment all have positive impacts on continuance intention. Among them, perceived enjoyment has the most significant effect on continuance intention, followed by performance expectancy. In addition, effort expectancy significantly influences perceived enjoyment. Contrary to our expectation, facilitating conditions have no impact on continuance intention. Practical implications： This study could help mobile data service providers to foster users＇ continuous usage of mobile reading. Research limitations： This study focused only on the effect of perceived enjoyment as an internal motivation on continuance intention of mobile reading, and other possible factors were not considered. Also, continuance intention may be different from the actual behavior. Furthermore, data of student users was collected from one university in China, and was cross-sectional, while working samples were not considered. Originality value： This study considers the effects of both external and internal motivation on continuance intention of mobile reading. The results highlight the role of perceived enjoyment in building users＇ continuance intention of mobile reading.

Comprehensive Utility Function for Resource Allocation in Mobile Edge Computing

In mobile edge computing(MEC),one of the important challenges is how much resources of which mobile edge server(MES)should be allocated to which user equipment(UE).The existing resource allocation schemes only consider CPU as the requested resource and assume utility for MESs as either a random variable or dependent on the requested CPU only.This paper presents a novel comprehensive utility function for resource allocation in MEC.The utility function considers the heterogeneous nature of applications that a UE offloads to MES.The proposed utility function considers all important parameters,including CPU,RAM,hard disk space,required time,and distance,to calculate a more realistic utility value for MESs.Moreover,we improve upon some general algorithms,used for resource allocation in MEC and cloud computing,by considering our proposed utility function.We name the improved versions of these resource allocation schemes as comprehensive resource allocation schemes.The UE requests are modeled to represent the amount of resources requested by the UE as well as the time for which the UE has requested these resources.The utility function depends upon the UE requests and the distance between UEs and MES,and serves as a realistic means of comparison between different types of UE requests.Choosing(or selecting)an optimal MES with the optimal amount of resources to be allocated to each UE request is a challenging task.We show that MES resource allocation is sub-optimal if CPU is the only resource considered.By taking into account the other resources,i.e.,RAM,disk space,request time,and distance in the utility function,we demonstrate improvement in the resource allocation algorithms in terms of service rate,utility,and MES energy consumption.

Mean Opinion Score Estimation for Mobile Broadband Networks Using Bayesian Networks

Mobile broadband(MBB)networks are expanding rapidly to deliver higher data speeds.The fifth-generation cellular network promises enhanced-MBB with high-speed data rates,low power connectivity,and ultralow latency video streaming.However,existing cellular networks are unable to perform well due to high latency and low bandwidth,which degrades the performance of various applications.As a result,monitoring and evaluation of the performance of these network-supported services is critical.Mobile network providers optimize and monitor their network performance to ensure the highest quality of service to their end-users.This paper proposes a Bayesian model to estimate the minimum opinion score(MOS)of video streaming services for any particular cellular network.The MOS is the most commonly used metric to assess the quality of experience.The proposed Bayesian model consists of several input data,namely,round-trip time,stalling load,and bite rates.It was examined and evaluated using several test data sizes with various performance metrics.Simulation results show the proposed Bayesian network achieved higher accuracy overall test data sizes than a neural network.The proposed Bayesian network obtained a remarkable overall accuracy of 90.36%and outperformed the neural network.

Predicting Mobile Cross-Platform Adaptation Using a Hybrid Sem-ANN Approach

Owing to constant changes in user needs,new technologies have been introduced to keep pace by building sustainable applications.Researchers and practitioners are keen to understand the factors that create an attractive user interface.Although the use of cross-platform applications and services is increasing,limited research has examined and evaluated cross-platforms for developing mobile applications for different operating systems.This study evaluates crossplatform features,identifying the main factors that help to create an attractive user adaptation when building sustainable applications for both Android and iOS.Flutter and React Native were selected so end-users could test their features using the cross-platform usability assessment model.Usability,satisfaction,and navigation were tested to measure the cross-platform adaptation and end-user experience.The data were analyzed using hybrid structural equation modeling(SEM)and artificial neural network(ANN)approaches.The study results show that usability and navigation both have a positive effect on adaptation on Flutter and React Native,while satisfaction only has an effect on Flutter.The navigation variable was also the most significant predictor of adaptation for both models.This study has several implications and makes contributions to the research field,to developers,and to end-users.

Enhancement of students' learning with mobile devices: Taking librarian-faculty collaboration in SJTU as an example

Purpose： This paper presents an innovative program of Shanghai Jiao Tong University Library which aims to help engineering students to make use of mobile devices to improve their learning efficiency. Design/methodology/approach： Information literacy training and course learning resources were integrated into students＇ learning process. Surveys on students＇ learning with the touch pads were conducted to help evaluate the program＇s effectiveness. Findings： Our practice showed that collaboration of library staff with faculty members is an effective way to integrate information literacy education and course-specific library resources into students＇ learning with mobile devices, which has greatly improved the efficiency of students＇ learning. Research limitations： First, our literacy training still focused on the use of mobile devices in information access, but not on how to evaluate and manage their information resources with mobile devices. Second, subject librarians need to shift their role from information service providers into information resource instructors while developing the partnership with faculty members and teaching assistants. Practical implications： This paper provides learning efficiency of university students with touch pads conveniently. a new insight into the way of how to enhance such new technical devices as smartphones and Originality/value： Our practice can be used as a valuable guide for libraries that plan to leverage mobile technologies to enhance students＇ learning efficiency.

Nurses’experiences in providing antenatal care during COVID-19 lockdown in Ghana

Background:The coronavirus disease 2019(COVID-19)pandemic posed a major global health threat,leading to the disruption and strain of numerous health systems globally.The situation deprived essential routine healthcare services,including antenatal care,of the needed attention,significantly affecting facility workers.This study therefore aimed to explore the lived experiences and challenges faced by nurses providing antenatal care during the COVID-19 pandemic.Methods:Data were collected through in-depth interviews with seven antenatal care nurses.The interviews were transcribed and analyzed using thematic analysis to identify recurring themes.Four main themes emerged:(1)Knowledge capital,which refers to the essential knowledge and skills required;(2)Interventions,highlighting the measures taken to adapt care;(3)Antenatal care challenges,detailing the specific obstacles faced;and(4)Coping strategies,outlining the methods used by nurses to manage stress and maintain care quality.Results:The results highlight the emotional and economic toll of the pandemic on antenatal care nurses and the importance of effective collaboration and coping strategies.The findings also underscore the crucial role of teamwork,dedication,quick adjustment,and the role of information communication technology in maneuvering through pandemics to provide continuous essential care.Conclusion:These insights are crucial for health agencies and organizations to develop supportive strategies that ensure the continuity of healthcare delivery and safeguard the well-being of healthcare workers during crises.

基于Web Service的读者个性化移动服务平台的设计与实现

随着智能手机的普及,图书馆需不断拓展移动服务以满足读者的需求,读者个性化移动服务平台是在图书馆移动服务上的探索。该平台基于.net框架,利用C#程序设计语言,设计了基于web service的图书馆掌上应用系统,读者可以利用随时随地的查看借阅情况、超期通知、新书通知、借阅排行和图书推荐以及图书检索等服务功能,特别在图书推荐中增加关联规则数据挖掘,以实现个性化的读者服务。

Living Library的服务设计研究

Living Library是近年来逐步兴起的图书馆创新服务,如何将Living Library理念深层次融入图书馆服务过程成为研究者关注的焦点。随着用户体验经济的兴起,围绕用户需求开展服务设计成为改进服务质量的有效方式。在此对服务设计理论和实用工具进行介绍,并重点对基于Living Library开展服务设计策略进行研究。

基于Web Service的图书馆手机客户端研究与实现

随着智能手机的普及,图书馆作为信息资源基地,应积极地适应移动传媒时代读者需求的变化,建设移动图书馆,以便更好地为读者服务。在比较3种移动图书馆服务模式后,详细介绍了北京工业大学图书馆手机客户端——"友书工大"的研究与开发,包括系统架构、数据库交互接口、前后台开发环境、所用技术、开发特点等,并对产品后续升级工作做出展望。

From New Media to Cloud Service,Can Independent College Libraries Face It Calmly?—Based on the Investigation and Analysis of Relevant Applications of Independent College Libraries in Jiangsu Province

The emergence and application of new media are both opportunities and challenges for the development of libraries.In light of statistical analysis of development and use of new media platform tools such as the library portal websites of independent colleges in Jiangsu Province,WeChat,MicroBlog,and mobile libraries,etc.,the author in this paper is aimed at studying independent college libraries’self-development level and innovation of service models under the new information network environment as well as how to win favorable time and space so as to easily face the advent of cloud service era.

Mobile library service of the National Library of China and the provincial public libraries

Based on the methods of online investigation,questionnaires and effectiveness tests,we investigated the National Library and thirty-one provincial public libraries for evaluating current status of mobile library.Comparative analysis of mobile service was carried out between the public libraries of China and the top 25 US public libraries.The results reveal that:currently,mobile service in China is less widespread and the modes of mobile service mainly focus on WAP and APP;mobile libraries provide diverse mobile services and abundant library resources,and services are personalized and interactive.However,the process of mobile library service is not perfect.Mobile services lack innovation,and appear low awareness and insufficient effectiveness.Both Chinese and American public libraries have some advantages.Public hbraries in China provide more rich services and resources.Mobile services among US public hbraries possess more humanization and refinement,integrate with mobile terminals in better ways,and have a rich display collection information.