Strengthening Public Institutions and Social Inclusion of Vulnerable Groups in A Developing Country - Innovation in Organizations and Artificial Intelligence Implications

Background: In the context of a developing nation, children\u27s participation in communal life is almost non-existent. The goal of the study is to contribute to national policies for local development that should prioritize the safety and well-being of the most vulnerable populations, particularly children under the age of 18. Innovating, including children in decision-making and maintaining local services in three pilot municipalities in order to prevent and combat all forms of exploitation to which they are exposed. How can Youth engagement in social and political community life be improved through better understanding of their needs and interests, and what are the artificial intelligence implications? Method: The methodology was used and designed to re-validate an existing program using pre-defined components of an agreement between the Italian and Lebanese governments. A needs study on the socio-demographic profile of youth and a situational analysis was conducted answering three objectives in the program of the Child Friendly City initiative. Results: Assuring the long-term viability and social inclusion of a significant socio-demographic group was successfully implemented: a free call center, software applications, a library, a digital network center, and the involvement of children on the municipal board of directors were established. The findings need to be adapted to various locations using artificial intelligence (AI) solutions and strategies for social awareness and behavior analysis. Conclusion: The importance of this study was underscored during the Covid-19 sanitary crisis, when some of these technologies enabled young people in impacted areas to integrate and become aware of the pandemic\u27s risk. The case was based on theories such as Gender Inequalities and Children\u27s Inclusion, Municipal Governance & Reform, Organizational Innovation (Public Sector), and Social Inclusion, and it demonstrates the value of innovating in the public sector and protecting vulnerable populations through the use of AI

Attitude towards Online Shopping during Pandemics: Do Gender, Social Factors and Platform Quality Matter?

Because of the advancement of electronic commerce, online shopping has emerged, merging commercial and social activities and enhancing the social presence and value of the online environment. To improve the understanding of the changes in the consumer behavior during the COVID-19 pandemic, this study proposes a set of characteristics connected to the social side of online shopping and their influence on client purchasing attitude in addition to the quality of the platforms that are being used (service quality, system quality and information quality). For this matter, a survey of 289 Lebanese people was circulated in 2021 and a quantitative method was used to answer three research questions. Types of goods purchased and frequency of buying on-line were tested to check the presence of any gender differences, in addition to the relationship between the variables studied in the model. According to the research, social presence, social value, and tendency to compare products on different shopping platforms all have a significant correlation with the attitude towards online shopping, where the system quality was the least significant. When it comes to purchasing frequency and product types, the data gathered imply that gender disparities are considerable. This study does not consider the consumer’s living environment or whether there are any age differences between the generations shopping online

Attitude towards online shopping during pandemics: Do gender, social factors and platform quality matter?

Because of the advancement of electronic commerce, online shopping has emerged, merging commercial and social activities and enhancing the social presence and value of the online environment. To improve the understanding of the changes in the consumer behavior during the COVID-19 pandemic, this study proposes a set of characteristics connected to the social side of online shopping and their influence on client purchasing attitude in addition to the quality of the platforms that are being used (service quality, system quality and information quality). For this matter, a survey of 289 Lebanese people was circulated in 2021 and a quantitative method was used to answer three research questions. Types of goods purchased and frequency of buying on-line were tested to check the presence of any gender differences, in addition to the relationship between the variables studied in the model. According to the research, social presence, social value, and tendency to compare products on different shopping platforms all have a significant correlation with the attitude towards online shopping, where the system quality was the least significant. When it comes to purchasing frequency and product types, the data gathered imply that gender disparities are considerable. This study does not consider the consumer's living environment or whether there are any age differences between the generations shopping online