8 research outputs found

    Is Big Data Adoption Shaping Business Landscapes? An Overview of Current Hotspots and Future Trends

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    Introduction: Most bibliometrics reviews in the prior studies have focused on tracking the evolution, applications, and implications of Big Data in business through different sectors using Web of Science or Scopus databases. Moreover, none of these studies has addressed the differences between developed and developing countries. These gaps indicate that we need a bibliometric review that can identify current trends and unexplored areas. Objectives: This study aims to use a bibliometric approach to examine how Big Data is used in businesses using WoS and Scopus databases. Methods: A Systematic Literature Review was conducted based on the country\u27s economic status using the SPAR-4-SLR protocol for this research. Results: The results show a significant growth in publications since 2013 among developed countries and since 2014 among developing ones such as the United States and the United Kingdom, along with China and India, respectively. Also, Machine Learning Overlaps Artificial Intelligence alongside Analytics, fueling innovative data-driven business processes around Big Data. Conclusions: This article explores the transformative power of Big Data across domains, stressing its ability to cause substantial breakthroughs within the digital econom

    The adoption of big data analytics in Jordanian SMEs: An extended technology organization environment framework with diffusion of innovation and perceived usefulness

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    While many small and medium enterprises (SMEs)recognize the benefits of Big Data Analytics (BDA) for digital transformation, they face challenges in implementing this technology, highlighting the need for more research on its adoption by SMEs. The objective of this study is to amalgamate the Technology Organization Environment (TOE) framework with the Diffusion of Innovation (DOI) theory, aiming to dissect the factors that sway BDA adoption in Jordanian SMEs. Additionally, the study delves into how perceived usefulness impacts this adoption process. Utilizing structural equation modeling, the study examined data from 388 managers in Jordan. The study validates all its hypotheses, revealing that variables like relative advantage, compatibility, complexity, top management support, competitive pressure, and security influence perceived usefulness, which subsequently has a positive impact on BDA adoption. This research presents a range of theoretical and practical insights

    Artificial intelligence in Jordanian education: Assessing acceptance via perceived cybersecurity, novelty value, and perceived trust

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    The growing significance of Artificial Intelligence (AI) across different fields highlights the essential role of user acceptance, as the success of this technology largely depends on its adoption and practical use by individuals. This research aims to examine how perceived cybersecurity, novelty value, and perceived trust affect students' willingness to accept AI in educational settings. The study's theoretical basis is the AI Device Use Acceptance (AIDUA) model. Using structural equation modeling, the study tested hypothesized relationships using data from 526 students at Jordanian universities. The results showed that social influence is positively associated with performance expectancy, while perceived cybersecurity is positively related to both performance and effort expectancy. Novelty value is positively associated with performance expectancy but a negative one with effort expectancy. Additionally, effort and performance expectancy significantly influence perceived trust and the willingness to accept AI. Moreover, perceived trust has a notable positive effect on the willingness to accept AI in education. These findings provide valuable guidance for the creation and improvement of AI-driven educational systems in universities, contributing to the broader understanding of AI technology acceptance in the educational field

    Predicting digital contact tracing tool adoption during COVID-19 from the perspective of TAM: The role of trust, fear, privacy, anxiety, and social media

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    Objective The emergence of more contagious SARS-CoV-2 variants, such as EG.5 (Eris), has heightened the urgency of assessing associated risks and managing the spread of infections. Digital Contact Tracing (DCT) tools have been widely adopted to mitigate these risks, although the factors driving their acceptance are complex and multifaceted. However, there is a significant lack of research on the application of DCT within Saudi Arabia, despite its proactive use of such technologies in public health strategies. This study investigates the key determinants of DCT adoption and acceptance by integrating the Technology Acceptance Model (TAM) with psychological, social, and regulatory factors related to the context of the study. Methods Using a quantitative, cross-sectional design, data were collected from Saudi participants through an online survey and analysed using Structural Equation Modeling (SEM) with SmartPLS4. Results The results supported all the hypotheses except for the relationship between social media awareness and DCT tool usage. The findings revealed that COVID-19-induced anxiety significantly influenced technology acceptance, with social influence playing a mediating role. This study introduces a novel, context-specific model contributing to the technology acceptance field by exploring how pandemic-related factors, such as anxiety and social influence, affect DCT tool adoption. It also addresses a critical gap in the previous literature by examining the mediating role of social impact in the association between privacy and event-related fear and the moderating effect of COVID-19 anxiety on social media awareness and DCT usage. The findings offer valuable insights for governmental interventions, health institutions, and legislators in managing pandemics globally and within the Kingdom of Saudi Arabia. Conclusion We introduce a novel, context-specific model for understanding how pandemic-related psychological and social factors influence DCT adoption in this study. Those results provide insight into how policymakers, health institutions, and legislators can use DCT tools to manage pandemics globally and in Saudi Arabia

    Children’s rates of COVID-19 vaccination as reported by parents, vaccine hesitancy, and determinants of COVID-19 vaccine uptake among children: a multi-country study from the Eastern Mediterranean Region

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    Abstract Background Huge efforts are being made to control the spread and impacts of the coronavirus pandemic using vaccines. However, willingness to be vaccinated depends on factors beyond the availability of vaccines. The aim of this study was three-folded: to assess children’s rates of COVID-19 Vaccination as reported by parents, to explore parents’ attitudes towards children’s COVID-19 vaccination, and to examine the factors associated with parents’ hesitancy towards children’s vaccination in several countries in the Eastern Mediterranean Region (EMR). Methods This study utilized a cross-sectional descriptive design. A sample of 3744 parents from eight countries, namely, Iraq, Jordan, Kuwait, Lebanon, Palestine, Qatar, Saudi Arabia (KSA), and the United Arab Emirates (UAE), was conveniently approached and surveyed using Google forms from November to December 2021. The participants have responded to a 42-item questionnaire pertaining to socio-demographics, children vaccination status, knowledge about COVID-19 vaccines, and attitudes towards vaccinating children and the vaccine itself. The Statistical Package for Social Sciences (SPSS- IBM, Chicago, IL, USA) was used to analyze the data. A cross-tabulation analysis using the chi-square test was employed to assess significant differences between categorical variables and a backward Wald stepwise binary logistic regression analysis was performed to assess the independent effect of each factor after controlling for potential confounders. Results The prevalence of vaccinated children against COVID-19 was 32% as reported by the parents. Concerning parents’ attitudes towards vaccines safety, about one third of participants (32.5%) believe that all vaccines are not safe. In the regression analysis, children’s vaccination was significantly correlated with parents’ age, education, occupation, parents’ previous COVID-19 infection, and their vaccination status. Participants aged ≥50 years and those aged 40-50 years had an odds ratio of 17.9 (OR = 17.9, CI: 11.16-28.97) and 13.2 (OR = 13.2, CI: 8.42-20.88); respectively, for vaccinating their children compared to those aged 18-29 years. Parents who had COVID-19 vaccine were about five folds more likely to vaccinate their children compared with parents who did not receive the vaccine (OR = 4.9, CI: 3.12-7.70). The prevalence of children’s vaccination in the participating Arab countries is still not promising. Conclusion To encourage parents, vaccinate their children against COVID-19, Arab governments should strategize accordingly. Reassurance of the efficacy and effectiveness of the vaccine should target the general population using educational campaigns, social media, and official TV and radio channels. </jats:sec

    Exploring Policies, Strategies, and Legislations Related to the One Health Approach to Zoonoses, Antimicrobial Stewardship, and Climate Change in Jordan: A Multimethod Study with SWOT Analysis

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    Background: Mapping policies, strategies, and legislations related to disease prevention in Jordan is pivotal for strengthening the country&rsquo;s public health infrastructure. The aims of our study were to identify, review, and map the existing national policies, strategies, and legislations related to the One Health approach to zoonoses, antimicrobial stewardship (AMS), and climate change in Jordan. Additionally, we identified the key strengths and major gaps and uncovered opportunities for enhancement. The current paper reports a part of a nationwide project which was jointly executed in 2023 by the Jordan Center for Disease Control and the Health Care Accreditation Council. Methods: A multimethod approach was employed, including a comprehensive desk review of any existing policies, strategies, and legislations, along with key informant interviews involving key stakeholders. The combination of the desk review and key informant interviews allowed for a more nuanced understanding of the gaps, strengths, and challenges in Jordan&rsquo;s approach to One Health, AMS, and climate change adaptation. By triangulating the findings from both methods, the study was able to cross-validate its results and ensure greater reliability and accuracy in its conclusions. Results: Our analyses revealed that Jordan has made notable progress in integrating the One Health approach within its regulatory framework, particularly in managing zoonotic diseases, AMS, and climate change. Nevertheless, there is a need for more explicit and effective intersectoral coordination. While the country&rsquo;s AMS initiatives are supported by a national action plan, they are limited by inadequate public awareness, veterinary regulations, and monitoring systems. Moreover, Jordan&rsquo;s climate change strategies, aligned with broader sustainability goals and integrated into national frameworks like the environmental protection law, are constrained by a lack of emergency preparedness and multisectoral collaboration. The SWOT analysis highlighted strengths, including robust legal structures and international collaborations, while identifying gaps in enforcement and the need for updated guidelines. Opportunities exist to enhance the reporting mechanisms, public awareness, and international partnerships. Conclusions: Jordan&rsquo;s integration of the One Health approach to zoonotic diseases, AMS, and climate change adaptation into its disease prevention policies is commendable and aligns with global health priorities. To further enhance these initiatives, Jordan could benefit from updating its public health law and the relevant guidelines and policies, strengthening and structuring public awareness campaigns, and developing detailed climate change adaptation strategies
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