- Technology Adoption and User Behaviour
- Organizational and Employee Performance
- Cybercrime and Law Enforcement Studies
- Information and Cyber Security
- Big Data and Business Intelligence
- AI and HR Technologies
- Knowledge Management and Sharing
- Gender Diversity and Inequality
- Forecasting Techniques and Applications
- Socioeconomic Development in MENA
- Customer Service Quality and Loyalty
- Stock Market Forecasting Methods
- Organizational Leadership and Management Strategies
- FinTech, Crowdfunding, Digital Finance
- Digital Platforms and Economics
- Digital Transformation in Industry
- Impact of AI and Big Data on Business and Society
- Online Learning and Analytics
- ICT Impact and Policies
- Corporate Finance and Governance
- Digital Marketing and Social Media
- Spam and Phishing Detection
- Customer churn and segmentation
- E-Government and Public Services
- Technology Assessment and Management
University of Bahrain
2007-2024
University College of Bahrain
2007-2024
Royal University for Women
2023
Arabian Gulf University
2021
Purpose This research aims at investigating the role of certain factors in organizational culture success knowledge sharing. Such as interpersonal trust, communication between staff, information systems, rewards and organization structure play an important defining relationships staff turn, providing possibilities to break obstacles is intended contribute helping businesses understand essential nourishing spreading it order become leaders utilizing their know‐how enjoying prosperity...
Purpose The purpose of this study is to discover the factors related human resource (HR) digital transformation (DT) in Bahrain during coronavirus disease 2019 (COVID-19) and analyze impact e-human management (e-HRM) on organizational performance. These are funding, information technology (IT) infrastructure, technical support, skills or talents, culture, employee resistance top support. were tested determine whether they affected HR DT COVID-19. There no findings researched literature...
Artificial Intelligence (AI) can playa pivotal role in the firm's recruiting process, facilitating excellence. This study investigates challenges AI faces hiring process and outcomes/ results of using process. The benefits include identifying vendors firms that have adopted analyzing present state to facilitate impact adopting Through this study, different perceptions, theories, ideas, opinions are presented modulate use human resource management utilizing papers from 1988 2020. findings...
Abstract Purpose The purpose of this paper is to explore barriers the change management in public sector educational institutions such as schools Ministry Education GCC countries. exploration research based on ADKAR model that consists five key elements, which are awareness, desire, knowledge, ability and reinforcement. was used for many reasons, among these reasons it allows separate process into parts, pinpointing where failing addressing impact point. Design/methodology/approach Five...
Computer networks have played a major role in expanding the operational boundaries organizations today. Until now traditional methods of networking, which involves computers, wired directly to hub or switch are norm. Recent advances networking technology made it possible for devices communicate using various light and wave emitting technologies. WiFi is perfect example one these emerging technologies, has enabled computers with each other without use cables. The implementation respect future...
Employee attrition, or the voluntary turnover of employees, is a major concern for businesses worldwide due to increased competition and dynamic changes in business environment. Predicting employee attrition can help organizations improve their retention strategies enhance performance. This article presents Systematic Literature Review (SLR) previous studies that have applied machine learning techniques predict attrition. The SLR covers data sources, models, evaluation metrics used existing...
Disengagement and turnover of employees are significant costs to organizations worldwide. In many organizations, it isn't easy foster continuous engagement among employees. Analytically-driven performance management aims capture analyze workplace data with advanced analytical techniques develop a sustainable solution. This systematic literature review (SLR) examines analyzes frameworks proposed for optimizing retention through analytics. Among the forty initial papers screened, twenty-four...
This study systematically reviews the literature in field of labor market prediction. The main aim is to identify most recently applied machine learning methods used predict job market's future. A comprehensive search was conducted across multiple databases, including Scopus, Google Scholar, IEEE, and Web Science, resulting a final selection 10 relevant articles published between 2018 2023. findings this found that are Long Short-Term Memory (LSTM), Bidirectional (BiLSTM), Memory-Gated...
The purpose of this study is to evaluate the levels knowledge, attitude, and behavior end-user regarding Information Systems Security Awareness (ISSA) in higher education, specifically Kuwait University (KU), identify areas which require attention.Factors such as attitude affecting human awareness were identified Value-Focus-Thinking was used (ISS) focus-areas.The six ISS Focus-Areas obtained commitment policy; effective use passwords; safe usage Internet e-mail; being aware threats; backing...
Stock market prediction is an attractive research area for many researchers. Accurate predictions of stock prices enable investors to make more informed decisions about buying and selling stocks at the right time. In past years, researchers examined predictability utilizing machine learning algorithms. The primary objective this study highlight proper techniques that can be used predicting prices. methodology achieve reviewing 12 papers surround use deep algorithms predict To distinguish...
The behavior of undergraduates’ withdrawing from higher education institutions before completing their degrees, and the low percentage on-time degree completion, are considered major challenges that face because inefficient admission process. This study aims to showcase Educational Data Mining techniques used in predicting academic performance prospective students factors influence students’ prior admission. conducts a systematic literature review based on developed methodology consisting...
Nowadays, Machine Learning (ML) is widely used in many business fields, and numerous companies use it to enhance their Human Resource Management Systems (HRMS) systems. By incorporating HR analytics ML techniques, can harness the power of throughout employee life cycle – from recruitment retirement. This study provides an overview how applications are HRMS. Emphasizes importance addressing imbalanced data improve system performance. To tackle this issue, Synthetic Minority Over Sampling...
Financial risk management is evolving rapidly with the integration of machine learning techniques, which offer sophisticated tools for managing complex and interconnected financial systems. Its crucial role in identification, assessment, mitigation, prediction accounts its significance. This systematic literature review analyzes utilization across 15 scholarly papers. The papers were selected from reputable journals available on databases such as ScienceDirect IEEE. Only published during...
SmartCards are one of the latest additions to continuing list advancements and innovations in world information communication technology.A SmartCard resembles size shape a normal credit card or bank ATM card, with microprocessor chip implanted into plastic card.These cards used not just as identity cards, like earliest versions such but hold relatively huge amount editable including holder's data, epurse, finger print, health record, blood type, traffic license details other vital...
The purpose of this paper is to identify the factors cybersecurity awareness in banking sector. Literature shows several gaps that both top management and professionals must close construct a successful digital institution conviction- assurance-based economy. These indicate four factors, commitment support; budgeting; compliance; culture. Methodology: A quantitative approach used with questionnaire analysis. total 109 Information Technology (IT) employees completed self-administrated survey...