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Al-Kasasbeh, Omar
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Humanities Social Sciences

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The Impact Of Fiscal Policy On Economic Growth Al-Kasasbeh, Omar
HISTORICAL: Journal of History and Social Sciences Vol. 2 No. 1 (2023): History and Cultural Innovation
Publisher : Perkumpulan Dosen Fakultas Agama Islam Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58355/historical.v2i1.38

Abstract

The relationship between fiscal policy and economic growth has attracted a great deal of attention in recent years. The growth experience of several countries during the last decades has generated a growing strand of theoretical and empirical literature trying to explain these events. Although one could argue that economic growth and fiscal policy influence each other. The aim of this paper is to review the research work conducted on fiscal policies and economic growth, noting that there are three tools of fiscal policy; the first type is government expenditure, the second type is taxation, and the third type is debts. In addition, according to previous research, the relationship between fiscal policy and economic growth is not clear and consistent, where in some cases a positive relationship, while in others it may be a negative relationship. In this paper, we will discuss the concept of fiscal policies, economic growth, and the relationship between those two variables through some of the previous research.
Exploring the Nexus between Leadership Styles, Employee Engagement, and Organizational Performance a Multidimensional Review Badie’ Alhmoud; Al-Kasasbeh, Omar
HISTORICAL: Journal of History and Social Sciences Vol. 3 No. 2 (2024): History and Cultural Innovation
Publisher : Perkumpulan Dosen Fakultas Agama Islam Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58355/historical.v3i2.112

Abstract

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.
The Relationship between Business Intelligence and Sustainable Human Resources Al-kasasbeh, Omar; Badie’ Alhmoud
HISTORICAL: Journal of History and Social Sciences Vol. 3 No. 3 (2024): History and Cultural Innovation
Publisher : Perkumpulan Dosen Fakultas Agama Islam Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58355/historical.v3i3.117

Abstract

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
Understanding the Big Data Characteristics, Assessing its Importance and Future in Jordan Al-kasasbeh, Omar
HISTORICAL: Journal of History and Social Sciences Vol. 3 No. 4 (2024): History and Cultural Innovation
Publisher : Perkumpulan Dosen Fakultas Agama Islam Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58355/historical.v3i4.155

Abstract

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.
Co-Authors Badie’ Alhmoud