CICS

The purpose of this paper is to give an overview of the social tagging phenomenon, including how it evolved and the debate surrounding its benefits and limitations. Further, social tagging's potential as a new tool for knowledge organization and resources discovery will be considered. Finally, some questions concerning social tagging will be presented for future research. The paper reflects an interdisciplinary overview of the technical aspect of social tagging along with a behavioural look at why and how it is used as a tool to discover and organize knowledge.

Although numerous studies have examined the crowdsourcing phenomenon, little consensus exists regarding the classification of distinct types of activities within crowdsourcing. In this study, we identify and classify 12 crowdsourcing initiatives that comprise the key categories of crowdsourcing: Crowdpedia, Fansourcing, Crowdnetworking, Crowdsharing, Crowdvoting, Crowdfunding, Ideation, Open Innovation, User Innovation, Scisourcing, Crowd-Relief, and Open Source Software. Our main objective is to establish the similarities and differences between basic crowdsourcing initiatives and develop a typology based on nine crowdsourcing dimensions that we develop. This crowdsourcing typology will provide a roadmap on which researchers can anchor their research and practitioners can make more informed decisions about which category of crowdsourcing they should seek.

This paper aims to investigate the impact of innovation on three macroeconomic indicators: GDP, self-employment, and foreign direct investment (FDI). The study analyses a sample of 120 countries using the Global Innovation Index (GII) and its constituent sub-indices and pillars, which provide a holistic evaluation of national innovation. Gross domestic product (GDP) per capita measures a country’s economic output, self-employment assesses entrepreneurial activity, and FDI indicates confidence in a country’s economic prospects and innovation trends. This study analyzes the data using generalized-linear and panel-corrected standard-error models. The results show that innovation positively influences GDP, domestic institutional framework, local infrastructure, local knowledge and technology, and creative outputs. In contrast, innovation negatively correlates with domestic self-employment, often associated with necessity-driven entrepreneurship. The study concludes that innovation posit...

IOT is an evolving technology and expected to bring the next phase of revolution in it industry by connecting any device anywhere by any available means. The potential of IOT applications is abundant allowing users to have real-time feeds from surrounding and distant objects helping in making intelligent decisions. Despite the potential benefits of IOT, there several challenges that needs to be address for IOT to harvest its potential benefits. This paper tackles recent challenges and proposes some solutions concerning IOT. We followed a systematic review of the latest literature covering IOT and extracted nine distinct categories of challenges including standardization and harmonization, connectivity, power management, security, privacy, trust, complexity, evolving scenarios, socio-ethical considerations, network technology, complexity, and rapid evolution. Further, the paper discusses the latest solutions evolved ranging from flexible radio standards, wireless sensor networks, wireless battery charging technology, ipv6/6lowpan protocols, privacy broker techniques, flexible IP protocol, to wireless identification and sensing platforms.

Introduction: Social networking websites and applications are increasingly becoming significant cultural phenomena. However, the motivation driving individuals to utilize these platforms, particularly in the Middle East, remains unclear. While numerous studies have explored technology adoption, limited research has investigated social media usage in the UAE. Therefore, this study proposes and empirically analyzes a framework based on a modified version of the Technology Acceptance Model to understand the factors influencing users' opinions, objectives, and actual usage of social media platforms, focusing on Facebook. Methods: To investigate these factors, we employed structural equation modeling and smart PLS techniques on a sample of 540 participants. We aimed to identify predictors such as perceived usefulness, perceived ease of use, as well as a hedonic dimension encompassing perceived enjoyment, curiosity, and perceived connectedness, in shaping users' attitudes towards Facebook usage. Additionally, we examined the relationship between social presence and users' intentions to use Facebook. Results: Our analysis revealed that perceived usefulness and perceived ease of use are significant predictors of users' attitudes towards utilizing Facebook. Furthermore, the hedonic dimension, comprising perceived enjoyment, curiosity, and perceived connectedness, also plays a crucial role in shaping users' attitudes. Moreover, social presence was found to have a significant association with users' intentions to use Facebook. Discussion: These findings contribute to our understanding of the factors influencing the adoption and usage of social media platforms, particularly in the context of the UAE. By highlighting the importance of both utilitarian and hedonic aspects, this research provides insights into the complex motivations behind individuals' acceptance of dynamic applications like Facebook. Furthermore, our empirical model lays the groundwork for exploring additional factors that may influence the uptake of information systems and social media utilities, thereby advancing attitudebehavior theories in this domain.

In recent years, educational institutions worldwide have increasingly embraced technology as a means of enhancing the learning experience and adapting to the demands of the modern era. This trend toward digital transformation has become even more pronounced in the wake of the COVID-19 pandemic, which necessitated a rapid shift to remote learning modalities. Learning Management Systems (LMS) have emerged as crucial tools for educational continuity, enabling institutions to deliver course materials, facilitate communication, and manage student progress in virtual environments. However, the success of LMS implementation varied among educational institutions, with some achieving seamless transitions while others encountered challenges stemming from students' reluctance to fully embrace the technology. This paper contributes to the understanding of LMS adoption in higher education institutions in Dubai, UAE, by proposing a comprehensive model based on the Technology Acceptance Model (TAM) and enhanced with modern factors that fit the nature of virtual learning. Methods: Employing a quantitative research approach, the study utilized the main structure of the Technology Acceptance Model (TAM) to propose an enhanced version of factors that might influence students' acceptance of online learning management systems. To collect the necessary data, a self-administered survey questionnaire was distributed to 500 students, ensuring a comprehensive dataset for analysis. The analysis was conducted using Partial Least Square Structural Equation Modeling (PLS-SEM), a robust statistical technique suitable for complex models with latent variables. This method allowed the researchers to empirically validate the proposed model, assessing the impact of various modern factors tailored to the nature of virtual learning environments. Results: The study's empirical findings revealed several significant factors influencing students' intentions to use LMS, including personal innovation, perceived utility, system quality, service quality, and information quality. While system quality encompasses the technical aspects and functionalities of the LMS, information quality focuses on the relevance, accuracy, completeness, and timeliness of the system's content. Discussion: These insights provide valuable guidance for educational institutions in Dubai and beyond, offering actionable recommendations for optimizing LMS implementation strategies to enhance student engagement and educational outcomes in the digital learning landscape.

The integration of artificial intelligence (AI) and the emerging concept of living intelligence in
higher education is transforming the educational landscape by improving teaching, learning, and
administrative processes. Living intelligence represents a dynamic partnership between human
cognition and AI, emphasizing adaptability, co-evolution, and continuous learning. AI
technologies offer numerous advantages, such as personalized learning experiences, enhanced
efficiency, and innovative pedagogical methods. However, adopting AI and living intelligence also
introduces challenges, especially in maintaining academic integrity and addressing ethical
concerns. This paper explores the multifaceted impact of AI and living intelligence in higher
education, focusing on their applications, benefits, challenges, and ethical implications. Through
a literature survey, this study contributes to existing knowledge while highlighting pressing
challenges that higher education professionals must address.

Communication is an interactional process. According to Nitcavic (2013), "Communication is not something that one person does to another. Communication is a continuous, ever-changing, circular, process of interaction" (p. 7). The goal of this interactional process is to try to deliver a message through a channel in a certain context in the environment.