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 mo...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.展开更多
The movement known as“Breque dos Apps”was a social movement of a striker nature,which took place in Brazil in July 2020.Such movement was organized by workers which provided services to delivery apps(like iFood,Logg...The movement known as“Breque dos Apps”was a social movement of a striker nature,which took place in Brazil in July 2020.Such movement was organized by workers which provided services to delivery apps(like iFood,Loggi,Uber Eats and Rappi).They demanded better working conditions and social protection measures,since they were out of the protection of the Brazilian legal system.The reason for this lies in the fact that there is a debate about the classification of these workers-the maximum expression of the gig economy-as employees under Brazilian legislation.As a result,and with the exponential growth in the use of these applications due to the Covid-19 pandemic,thousands of workers were left on the fringes of any social protection.This study aims to analyze the aforementioned movement and its demands within the paradigm of social rights,especially the ones regarding collective representation,which are guaranteed by the Brazilian Constitution.In terms of methodology,the content analysis method will be applied,considering that the established objective presupposes the study of theoretical and legal texts that allow the structuring of concepts applicable to the theme.The research technique to be adopted will be the analysis of indirect documentation,that is,literature review,to be carried out through bibliographic and documentary research,focused on literature and legal texts related to the topic.展开更多
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 col...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.展开更多
文摘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.
文摘The movement known as“Breque dos Apps”was a social movement of a striker nature,which took place in Brazil in July 2020.Such movement was organized by workers which provided services to delivery apps(like iFood,Loggi,Uber Eats and Rappi).They demanded better working conditions and social protection measures,since they were out of the protection of the Brazilian legal system.The reason for this lies in the fact that there is a debate about the classification of these workers-the maximum expression of the gig economy-as employees under Brazilian legislation.As a result,and with the exponential growth in the use of these applications due to the Covid-19 pandemic,thousands of workers were left on the fringes of any social protection.This study aims to analyze the aforementioned movement and its demands within the paradigm of social rights,especially the ones regarding collective representation,which are guaranteed by the Brazilian Constitution.In terms of methodology,the content analysis method will be applied,considering that the established objective presupposes the study of theoretical and legal texts that allow the structuring of concepts applicable to the theme.The research technique to be adopted will be the analysis of indirect documentation,that is,literature review,to be carried out through bibliographic and documentary research,focused on literature and legal texts related to the topic.
文摘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.
