The world of the Internet of Things (IoT), even though it is continuously morphing as a fresh paradigm at the intersection of technology and education, is still struggling with several difficulties that prevent its absorption into the e-learning platforms of higher education institutions (HEIs). The breadth of Internet of Things implementation in developing countries, particularly Jordan, Malaysia, Iran, Saudi Arabia, Iraq, and Bangladesh, remains behind, even though industrialized nations have made significant advancements in their utilization of IoT, with the United Kingdom, the United States of America, China, and Japan acting as prominent examples. In the realm of research that focuses on the progression of the IOT integration into the e-learning systems of economically challenged countries, there is a substantial disparity. In particular, the focus of this research is on Jordan to shed light on the primary variables that are either facilitating or hindering the adoption of the IoT within the e-learning sector of Jordan's HEIs. A comprehensive analysis of previous research has been undertaken as a first stage in this investigation. The goal of this analysis is to identify important factors that are involved in the process of IOT adoption. Following that, we used an inferential technique, collecting data from 306 respondents who were enrolled in Jordanian higher education institutions. During our investigation, we discovered that the rate of the IOT integration was significantly influenced by factors such as accessibility, usability, technical assistance, and individual capabilities. In addition, our findings suggest that factors such as attitude, behavior, financial preparedness, dependability, and training have a substantial impact on the adoption of the IOT. On the other hand, the study seemed to indicate that characteristics such as class capacity, awareness, system resources, and course design had a minor influence on the adoption rates inside HEIs. In conclusion, this study provides tangible suggestions to strengthen the integration of the IoT inside Jordanian HEIs. These recommendations provide significant insights that can be used by policy architects, government entities, and higher education institutions to overcome the challenges that relate to the deployment of IoT in the higher learning sector.

This study employed quantitative methods to evaluate the influence of adaptive learning technology on the cognitive flexibility of students with special needs. Participants were recruited from special education schools using a purposive selection strategy. The Wisconsin Card Sorting Test (WCST) was utilized as a tool to assess cognitive flexibility. The data was analyzed using descriptive statistics, paired-samples t-test, correlation analysis, and regression analyses. The findings demonstrated a notable enhancement in WCST scores after the intervention, suggesting that adaptive learning technologies have a beneficial effect on cognitive flexibility. Regression studies revealed that various types of adaptive learning technologies had varied levels of efficacy, with Tech A showing the most significant beneficial impact. Surprisingly, demographic factors such as age, gender, and educational attainment demonstrated little and statistically insignificant associations with alterations in cognitive flexibility levels. The findings emphasize the potential of adaptive learning technologies as effective therapies for improving cognitive flexibility in kids with special needs. It underscores the significance of evaluating specific characteristics and design principles to maximize their efficacy.

The primary objective of this research was to find out how using augmented reality technology in the Abha Governorate affected children with learning disabilities' ability to think creatively. A cohort of students associated with educational establishments in the Governorate of Abha was the subject of a study. The study was given a month's duration. The study involved thirty students in all, fifteen of whom were each from the experimental and control groups. The experimental group did better on post-tests assessing initial imagination, perceptive imagination, and transformative imagination than the control group, indicating a significant improvement in the study's results. There was no statistically significant difference between the experimental group and the control group's scores on imaginative thinking during the follow-up evaluation or in the immediate post-intervention period.

Research has shown the effect of student engagement, teacher leadership, and curriculum on the effectiveness of the use of learning technologies and the online learning environment. The study included a total of 382 samples that included both teachers and students. Survey respondents are qualified teachers with at least 10 years of teaching experience, as determined through sampling. Participants responded to a study questionnaire that was used to collect data. Data were collected using Smart PLS software, which included validity and reliability assessments and hypothesis tests. The results of the study indicated that the dissemination of learning technology is directly affected by teacher leadership and student participation, which affects its effectiveness. Instructor leadership, student engagement, and successful use of learning technologies directly impact the online learning environment. The use of learning technology is influenced by teacher leadership, curriculum, and student engagement, which ultimately impacts the online learning environment. This study suggests two main results. To enhance the efficiency of learning technology deployment, the focus of public policy should be on enhancing teacher leadership and student performance. Moreover, enhancing the efficient use of learning technology is a critical policy goal to improve the quality of the online learning environment. Students and teachers with enhanced skills should collaborate to share their technological learning materials and management practices to improve students' online learning experiences. Subsequently, modifications were made to the curriculum and there was an increase in teacher leadership.

Internal audit is a bulwark ensuring the integrity of financial statements, a linchpin for stakeholder trust and informed corporate decision-making. With the proliferation of complex financial transactions, audit teams face mounting challenges in deciphering voluminous transactional data to safeguard financial reporting quality. Machine learning has the potential to identify signifiers of financial reporting quality. Within the Design Science Methodology framework, we apply the Random Forest Classifier technique to metrics such as the error rate to enhance financial reporting. We find that the Random Forest Classifier identifies that certain parameters are critical to error detection, which enhance account receivable accuracy, lower receivable account control risk. This research advances the argument that technologically-enhanced internal audit procedures can play a pivotal role in ensuring that financial reporting mirrors the economic reality of the company.

Social media has recently drawn the attention of regulators and current research because of its importance in meeting client demand and improving an organization's marketing success. Because of this, the current study investigates how social media strategy, analysts, and active involvement affect social media performance and how social platforms' results affect advertising outcomes for the UAE's electronic industry. This research also examines how customer satisfaction impacts the connections between marketing performance and social media. It also explores how social media performance mediates the intersection of social media tactics, experts, consistent presence on social media, and advertising performance. Data were collected via questionnaires, and data analysis was done using smart-PLS. The findings showed a favorable correlation between social media performance and social media strategies and active participation, as well as a good correlation between social media performance and marketing effectiveness. Additionally, the findings indicated that consumer satisfaction significantly regulates the link between social media performance and advertising effectiveness. They also highlight that social platform efforts positively mediate the link between social media tactics, analysts, active social media use, and performance. This study aided the regulatory agencies in their decision-making and directed them to sharpen their attention on social media to improve marketing efficiency.

The study aimed to identify the impact of digital transformation and analyze the obstacles and complexities facing the integration of digital technologies into Jordanian Customs and their subsequent impact on achieving strategic flexibility. The study aims to uncover challenges, evaluate their effects, and suggest recommendations to enhance adaptive strategies within Jordanian Customs considering digital transformations. The study included employees in Jordanian General Customs, including customs officials, IT staff, and administrative staff working on digital initiatives. A population of 670 individuals was identified, from whom a purposive sample of (465) directly involved in digital transformation efforts was selected to participate in the study. The study used the descriptive analytical approach to comprehensively investigate the challenges of digital transformation within Jordanian Customs. Surveys, interviews, analysis of regulatory documents formed data collection methods. Quantitative data were subjected to descriptive analysis and regression modeling, while qualitative insights were thematically analyzed to provide a comprehensive understanding of the challenges faced. The analysis revealed the results, the most important of which is that digital transformation has a positive, statistically significant impact in its four dimensions (strategy, organizational culture, transformational leadership, and human resources) in achieving strategic agility in Jordanian Customs, and reveals multi-faceted challenges prevailing within Jordanian Customs, including structural constraints. Infrastructure, resistance to change, cyber security vulnerabilities, and skills gaps among the workforces. The regression analysis highlighted the significant impact of these challenges in hindering the achievement of strategic flexibility within the Customs Department. Based on the results of the study, Jordanian Customs is recommended to take proactive measures to confront the challenges identified. This includes investing in a robust technology infrastructure, implementing targeted training programs to improve employee skills, promoting a culture of innovation, and establishing cross-departmental collaboration to enhance adaptability and strategic flexibility. The study recommended increasing attention to training workers and raising their capabilities to deal with digital transformation positively and improve services.

Reputation management is of more significant consideration for organizations across the globe. However, for relevant purposes, Public Relations accompanied by Artificial Intelligence further play a significant role. Mainly supported by the social exchange theory, this study also focuses on Public Relations practices and Artificial Intelligence as facilitating the pathway to reputation management for online retail organizations in the United Arab Emirates. The researchers selected a sample of n= 330 individuals and analyzed it using Structural Equation Modelling to test the proposed conceptual model. Results revealed that Public Relations practices significantly affect Competitive Value, Online Communication, and Behavior Change. Besides, the effect of Artificial Intelligence on Competitive Value, Online Communication, and Behavior Change also remained significant. Further, the three relevant factors (Online Communication and Behavior Change) significantly affect reputation management, indicating the overall effect of PR practices and AI on reputation management in online retail organizations in the UAE. Hence, it is concluded that PR practices and AI technology have a substantial role in ensuring reputation management. Besides, factors including Competitive Value, Online Communication, and Behavioral Change have a positive role in reputation management, further ensuring attaining the organizational goals. Finally, the researchers discussed the results and highlighted the theoretical implications accordingly.

The future of the Internet lies in the utilization of contemporary virtual technology, the metaverse is a virtual ecosystem for communication and interaction. This study aims to determine how the metaverse can enhance customer awareness, interest, engagement and experience. The study population consists of customers of retail clothing stores. A questionnaire was developed to collect study data and distribute it electronically. The number of respondents reached (77) customers. Using path coefficients, the results indicate that metaverse can enhance customer awareness, interest, engagement and experience.

The aim of this study was to evaluate the impact of social media, big data, and data mining on the development of organizational behavior within the telecommunications industry in Jordan. The main objective of this study was to investigate the effects of technological components on the alteration of organizational behavior in the communications sector of Jordan. To accomplish this objective, a thorough empirical investigation was undertaken, encompassing the collecting of data from key stakeholders within the telecommunications sector in Jordan. A sample size of 412 participants, encompassing people from diverse roles within the communications sector, was chosen for the purpose of this study. The participants' replies and perspectives were gathered via the administration of surveys and conducting interviews, resulting in a comprehensive data set suitable for analysis. This study investigated the intricate relationship between the utilization of social media, the application of big data analytics, and the implementation of data mining techniques in influencing the dynamics of organizational behavior. The study's results underscored the substantial impact that social media platforms have on communication patterns and collaboration within telecommunication firms. Furthermore, the utilization of big data analysis has emerged as a significant catalyst for the enhancement of informed decision-making processes, exerting influence on diverse facets of organizational behavior, including strategic planning, employee engagement, and customer interactions. Data mining techniques have been identified as having a crucial function in extracting significant patterns and trends from extensive datasets, hence helping to the improvement of organizational learning and adaptation. The research findings indicated that the incorporation of social media, big data, and data mining technologies had a beneficial effect on the development of organizational behavior within the telecommunications industry in Jordan. The findings underscore the importance for enterprises to proactively utilize these technologies to cultivate a work environment that is characterized by increased agility, responsiveness, and collaboration. This study provides significant contributions to the subject of organizational behavior by examining the impact of social media, big data, and data mining within the specific context of the telecommunication sector in Jordan. The research sheds light on the transformative consequences of these technological advancements. The consequences of these findings have broad relevance for organizational leaders, politicians, and researchers, serving as a basis for further investigations in the dynamic realm of technology-driven organizational behavior.