Best Researcher Award
Amal Mohamed
Elmottwera High Institute, Egypt
Amal Mohamed is a researcher affiliated with Elmottwera High Institute, Egypt. The publication information supplied for this profile documents scholarly work primarily related to human resource management, organizational behavior, talent analysis, work-life balance, human resource economics, and theory development. The available record includes journal articles published between 2022 and 2026, including works addressing artificial intelligence-driven human resource management, perceived organizational justice, big data analysis, talent analysis, and human resource planning. [1] [2]
Abstract
The available publication record for Amal Mohamed comprises scholarly contributions addressing contemporary human resource management and organizational research. The documented studies examine topics including artificial intelligence-driven human resource management, perceived organizational justice, big data analysis in talent analysis, work-life balance and human resource planning, human resource economics, and theoretical development within the human resource management field. The record includes publications from 2022 through 2026, with several articles published in the Scientific Journal of Business Research and Studies and a 2026 article appearing in Management & Sustainability: An Arab Review. [1] [2] [3]
Keywords
Artificial intelligence in HRM; organizational justice; talent analysis; big data; human resource planning; work-life balance; human resource economics; HRM theory development; organizational sustainability; employee performance.
Introduction
Human resource management research increasingly examines the relationship between organizational practices, employee outcomes, analytical methods, and changing workplace conditions. The supplied publication record places Amal Mohamed’s work within this broader research area, with studies covering both applied and theoretical aspects of human resource management. These topics include the application of big data to talent analysis, the relationship between work-life balance and human resource planning, and the development of theoretical approaches in HRM. [2] [3] [5]
The most recent supplied publication, dated April 15, 2026, examines AI-driven HRM and the role of perceived organizational justice in relation to employee engagement. The article lists Amal Mohamed Abdelal among its contributors and was published in Management & Sustainability: An Arab Review. [1]
Research Profile
The supplied research profile identifies Amal Mohamed with Elmottwera High Institute in Egypt and provides Scopus Author ID 60632783700. The submitted record lists one document in the stated Scopus profile information, while the citation count and h-index were not provided in the supplied data. Accordingly, those bibliometric measures are recorded as unavailable rather than inferred.
The publication record indicates a multidisciplinary orientation within business and management research. Themes represented in the supplied works include technology-supported talent analysis, human resource planning, employee and organizational outcomes, human resource economics, and theoretical development in HRM. [2] [3] [4] [5]
Research Contributions
The available publications demonstrate several identifiable research themes:
- Research on AI-driven human resource management and perceived organizational justice considers contemporary organizational practices and employee engagement. [1]
- Research on big data analysis addresses the use of analytical approaches in talent analysis and human resource contexts. [2]
- Research on work-life balance examines its relationship with human resource planning. [3]
- Research on human resource economics considers relationships between HR economics and selected economic theories and tools. [4]
- Theoretical research examines theory development within the human resource management field. [5]
Publications
The following publications are based on the research information supplied for this profile. Publication titles, journals, dates, contributors, and DOI identifiers are presented as provided.
- From AI-driven HRM to engaged employees: the critical role of perceived organizational justice. Management & Sustainability.
- The impact of big data analysis on talent analysis. Scientific Journal of Business Research and Studies.
- The impact of work-life balance on human resource planning. Scientific Journal of Business Research and Studies.
- Studying the relationship between human resource economics and some economic theories and tools.
- The State-of-The-Art-of Theory Development in The HRM Field (Theoretical Research). Scientific Journal of Business Research.
Research Impact
The supplied record demonstrates scholarly activity across several areas of human resource management and business research. The publications address both established organizational questions, such as work-life balance and human resource planning, and emerging themes involving artificial intelligence, big data, and talent analysis. [1] [2] [3]
Quantitative bibliometric impact measures beyond the supplied document count cannot be established from the information provided. In particular, no verified citation total or h-index was supplied for this profile. Such measures should therefore be obtained directly from the relevant scholarly databases when a current bibliometric assessment is required.
Award Suitability
For the Petroleum Engineering Awards profile submitted under the category or subject area of Artificial Lift Systems, the available evidence should be assessed against the award’s published eligibility criteria and the nominee’s verified research record. The supplied publications primarily concern human resource management, organizational behavior, talent analysis, work-life balance, human resource economics, and HRM theory rather than petroleum engineering topics. [1] [2] [4]
Conclusion
Amal Mohamed’s supplied publication record reflects research activity in human resource management and business research, with publications spanning theoretical HRM development, human resource economics, work-life balance, talent analysis, big data, and AI-driven HRM. The record includes five identified journal articles from 2022 to 2026, several of which have DOI identifiers. [1] [2] [3] [5] Further assessment of research metrics and discipline-specific eligibility should use current, verified scholarly records and the applicable award criteria.
External Links
References
- Crossref. (2026). From AI-driven HRM to engaged employees: the critical role of perceived organizational justice. Management & Sustainability: An Arab Review.
DOI: https://doi.org/10.1108/MSAR-12-2025-0521
- Crossref. (2023). The impact of big data analysis on talent analysis. Scientific Journal of Business Research and Studies.
DOI: https://doi.org/10.21608/sjrbs.2023.124209.1283
- Crossref. (2023). The impact of work-life balance on human resource planning. Scientific Journal of Business Research and Studies.
DOI: https://doi.org/10.21608/sjrbs.2023.74574.1113
- Amal Abdelal. (2022). Studying the relationship between human resource economics and some economic theories and tools. Scientific Journal of Business Research and Studies. ISSN 2682-4876.
https://portal.issn.org/resource/ISSN/2682-4876
- Crossref. (2022). The State-of-The-Art-of Theory Development in The HRM Field (Theoretical Research). Scientific Journal of Business Research.
DOI: https://doi.org/10.21608/sjsc.2022.129039.1124
- Elsevier. (n.d.). Scopus author details: Amal Mohamed, Author ID 60632783700. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=60632783700