Omar Al-Kasasbeh

This study examines the relationship between the Blue Economy and marine renewable energy, focusing on the opportunities the sector offers and the barriers that continue to slow its adoption. Using a hybrid ecological-developmental framework, the paper maps the environmental, economic, and social dimensions of marine renewables and classifies the structural, financial, and governance obstacles that constrain their wider deployment. Drawing on a systematic review of global case evidence, with particular attention to emerging economies and small island states, the analysis contrasts settings where integration has succeeded with those where institutional and structural constraints persist. The findings show that marine renewables can meaningfully reduce greenhouse gas emissions, diversify national energy portfolios, and strengthen energy security, but that the pace and depth of their adoption depend heavily on context-specific financial and governance conditions rather than on technology alone. The paper closes with evidence-based recommendations for policymakers, financing institutions, and private investors on the design of financing mechanisms, governance structures, and incentive frameworks capable of accelerating an equitable transition to marine renewable energy.

The study mainly focuses on checking the dynamic impact of nonrenewable energy, renewable energy, foreign direct investment, and economic growth on environmental sustainability by the newly developed bootstrap autoregressive distributed lag (ARDL) testing technique. ARDL being a dynamic model incorporates the capacity of giving both short and long runs series by the help of the first and second differences of the series. To this effect, the annual data covers a timeframe from the year 2000 up to 2023. On the other hand, Granger's causality analysis indicates that there is a one-way causative relationship between consumption of renewable and non-re renewable energies and environmental sustainability in relation to GDP in the United Arab Emirates. Moreover, the ARDL findings revealed that the coefficients of GDP showed positive values, whereas the quadratic GDP exhibited negative values. These findings support the validity of the EKC theory in the UAE, the negative relationship between FDI and environmental sustainability. Moreover, policymakers in the UAE must dedicate substantial financial resources towards the advancement of sustainable energy sources, while concurrently decreasing dependence on non-renewable fuels.

Big data is a future research field that is attracting a lot of interest from academics and the IT community. The amount of data produced and stored in the digital world has increased dramatically in a short period. As a result, the exponential growth of data has generated various challenges. There are different scholars and researchers who have provided different definitions of big data. This paper aims to provide a wider definition of big data that captures its other distinctive characteristics. The main focus of the researcher is on the batch processing technologies as well as stream data processing technologies.The strengths as well as weaknesses and other details related to these technologies and the actual studies and the most interested areas of Big Data are the main part of this paper. Furthermore, the future of Big Data is evaluated in Jordan. In the Conclusion part, an overall evaluation is made and potential troubles are noted.

The research explores the relationship between Business Intelligence (BI) and Sustainable Human Resource Management (Sustainable HRM), focusing on how BI tools enhance HR practices and contribute to organizational sustainability. As organizations strive for sustainable growth, the integration of BI with Sustainable HRM emerges as a critical strategy. The study addresses the gap in literature concerning the integration of BI in HRM and evaluates how BI-driven insights can improve HR decision-making, thereby enhancing organizational performance. The research questions focus on the dependencies between BI and HR, exploring the ways in which BI influences HR practices and sustainability outcomes. This study examines how BI aids in decision-making processes by providing comprehensive data analytics, thus fostering a dynamic and competitive business environment. Additionally, Sustainable HRM aligns HR practices with long-term organizational goals, emphasizing social responsibility, environmental care, and economic viability. Findings indicate that BI significantly enhances HR practices by providing data-driven insights that improve recruitment, training, and overall workforce management. However, challenges remain in aligning BI with HR strategies due to cultural and technological gaps. The study concludes that effective integration of BI into Sustainable HRM can lead to improved organizational sustainability, offering prescriptive advice for HR professionals to leverage BI tools for strategic decision-making. This research contributes to the fields of BI and HRM by demonstrating the critical role of BI in fostering sustainable HR practices, thereby promoting long-term organizational success

This is major research on the three constructs of intention to use energy resources efficiently and environmental consciousness, as well as, how they collectively interact towards environmental performance in the context of HR sustainability initiatives. The study, using quantitative analysis data collected from different organizations, how these factors collectively influence sustainable outcomes. The analysis results strongly support the proposed hypotheses since the moderating effects from environmental consciousness and energy efficiency intentions further strengthen the relationship between HR sustainability and environmental performance. They complement HR practices that seek to intensify awareness of environmental protection and the efficient use of energy within organizations. These findings shed light on the synergistic effects of HR sustainability initiatives combined with a "green" workforce keen on energy efficiency, providing an abundance of opportunities for global environmental performance improvement. It adds perspective to the current debate about how values-based HR practices contribute to organizational sustainability and offers insight to those organizational practitioners considering this course of action. This research delves into what an amalgamated approach for organizational sustainability might look like, given the combined positive effects of sustainable HR practices, environmental consciousness, and efficient energy use in driving enhanced environmental outcomes.

Middle Eastern countries have prioritized energy efficiency in their policy, regarding the adverse environmental consequences of relying heavily on fossil fuels. Over time, their reliance on fossil fuels for energy generation and imports has resulted in a continual rise in greenhouse gas emissions. Nevertheless, Middle Eastern countries possess considerable capacity for renewable energy resources that can be utilized without causing harm to the environment. This study empirically examines the effect of green finance, environmental sustainability, and fin-tech on energy efficiency using panel data from 2012 to 2023 in Middle Eastern countries: Turkey, Saudi Arabia, Kuwait, Qatar, and the United Arab Emirates. The study achieved its aims by employing a range of econometric methodologies. The CIPS and IPS procedures are employed to analyze unit root attributes, while the panel cointegration methodology of Westerlund (2007) is used to examine cointegration. The results indicate that there is cointegration among the variables that were analyzed. The outcomes provide helpful knowledge regarding the development of energy efficiency in Middle Eastern countries.

This multidimensional literature review explores the complex interplay between leadership styles, employee engagement, and organizational performance, providing a comprehensive analysis across various sectors such as healthcare, education, IT, and non-profits. It critically examines how transformational, transactional, and servant leadership paradigms distinctly influence employee engagement levels and, subsequently, organizational outcomes. The review delves into the mechanisms through which leadership practices shape organizational culture, employee motivation, and an environment conducive to innovation and high performance. It further investigates the mediating and moderating roles of innovation climate, knowledge sharing, and high-performance work systems in the relationship between leadership styles and organizational effectiveness. By synthesizing empirical findings and theoretical insights, this review highlights the strategic importance of leadership in enhancing employee engagement and propelling organizational performance. The findings suggest that transformational and servant leadership are particularly effective in creating engaging work environments that drive superior organizational results. This study underscores the necessity for leaders to adopt adaptable, people-centered approaches that foster employee well-being and development, thereby contributing to the achievement of strategic objectives and sustained organizational success. The review concludes with recommendations for future research, emphasizing the exploration of emerging trends and contextual factors that may influence the dynamic relationship between leadership, employee engagement, and organizational performance.

This paper seeks to study the effect of oil price volatility on economic growth in Middle East countries (Jordan, United Arab Emirates, Saudi Arabia, Kuwait, Qatar, and Turkey). The study's goals were achieved by utilising a range of econometric methodologies. For instance, the IPS and LLC procedures are used to study unit root qualities, while Westerlund and Edgerton's (2008) test is used to study cointegration. The findings demonstrate a long-term correlation between Oil price volatility, inflation, investment, and economic growth. The study concludes with more detailed findings regarding how oil prices affect gross domestic product growth. As such, policymakers can use it to support their decision-making.

The rapid advancement and adoption of fintech have significantly influenced the banking sector worldwide. This study aims to investigate the moderating effect of information technology infrastructure on the link between fintech adoption and organizational competitiveness in Jordanian commercial banks. The study chose a quantitative research methodology to conduct this study, based on a survey of 12 Jordanian commercial banks, chose a quantitative research methodology. The study distributed a structured questionnaire, which was filled out by managerial-level employees at the banks. From the 400 questionnaires distributed to the respondents, 215 returned valid responses, allowing further analysis. The study carried out the data analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results suggested that the adoption of fintech had a significant, positive direct impact on organizational competitiveness (H1: β = 0.409, t = 5.204, p = 0.001). Additionally, the study identified that IT infrastructure significantly moderates the relationships between fintech adoption and organizational competitiveness (H2: β = 0.257, t = 4.102, p = 0.000). This means, indeed, that fintech adoption independently augments the competitiveness of Jordanian commercial banks. Moreover, a solid presence in IT infrastructure further strengthens the positive effect. Such insights are highly valuable for bank managers and policymakers looking to improve organizational performance while incorporating strategic IT investments in the fintech domain.

The digital revolution has brought about significant changes to the global economy, creating a new paradigm known as the digital economy. This article delves into the various aspects of the digital economy, examining its impacts and exploring the opportunities it presents for businesses, industries, and society as a whole. The study investigates the key drivers and characteristics of the digital economy, such as digital platforms, data-driven innovation, and technological advancements. It analyzes the transformative effects of the digital economy on traditional sectors and highlights the potential for enhanced productivity, innovation, and economic growth. Additionally, the article examines the challenges and policy considerations in harnessing the full potential of the digital economy, including issues related to the digital divide, data privacy, and cybersecurity. By understanding the dynamics of the digital economy, policymakers, businesses, and individuals can adapt and leverage digital transformation for sustainable economic development and inclusive growth.