Husni Samara | Quantitative Hypotheses | Best Researcher Award

Dr Husni Samara, University of Valencia, Spain

Dr. Husni Samara 🎓📊 is a Ph.D. student in Accounting at the University of Valencia, Spain, specializing in corporate governance and sustainability 🌍. He holds a Master’s (2018-2020) and a Bachelor’s (2009-2013) in Financial Accounting, both with excellent standings 🏆. With extensive academic experience as a part-time instructor at various universities 📚, he also worked as a financial and administrative accountant in the UAE and Palestine 💼. His research spans corporate governance, fintech, AI in accounting, and sustainability, with multiple publications in reputable journals 📑. His upcoming studies focus on green banking, ESG, and financial performance insights 🌱💰.

Publication Profile

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Education

Dr. Husni Samara is a Ph.D. student in the Department of Accounting at the University of Valencia, Spain (2024–Present) 📚🌍. His research focuses on corporate governance and sustainability 🌱🏢. He earned his Master’s degree in Financial Accounting from the University of Jordan (2018–2020) with an excellent standing (3.97/4) 🎓✨, where his thesis explored the impact of corporate governance and firm characteristics on firm value in Jordan 📊🏦. He previously obtained his Bachelor’s degree in Financial Accounting from the Arab American University, Palestine (2009–2013) with a stellar GPA of 3.92/4 🏅📖, demonstrating his strong academic foundation in finance.

Experience

Dr. Husni Samara is a dedicated educator in accounting and financial sciences 📊📚. He serves as a part-time instructor at Al Zaytona University of Science and Technology in Salfit, Palestine (2023-2024), teaching in the Faculty of Business Management and the Technical Community College’s Insurance Office Services Diploma program 🏢💼. Previously, he was a part-time instructor at Al-Quds Open University in Jenin and Nablus (2021-2022), contributing to the Faculty of Administrative and Financial Sciences 🏫📖. His expertise and commitment to education help shape future professionals in accounting and business administration 💡🎓.

Research Interest

Dr. Husni Samara is a dedicated researcher specializing in sustainability 🌱, quantitative research in accounting 📊, and corporate governance 🏛️. His expertise spans various accounting issues 💼, where he applies data-driven approaches to enhance financial decision-making and transparency. With a keen focus on corporate responsibility and sustainable business practices, Dr. Samara contributes valuable insights to the evolving field of accounting. His research supports organizations in improving governance structures and financial reporting accuracy. Through his work, he bridges the gap between quantitative analysis and practical applications, fostering ethical and sustainable financial practices in the corporate world. 📈✅

Research Focus

Dr. Husni Samara’s research focuses on corporate governance 🏛️, financial technologies 💳📲, and business performance 📈 in emerging markets. His work examines the impact of digital finance on entrepreneurship 🚀, board structures in firm valuation 💼, and the role of conservative accounting in financial adequacy 💰. He also explores intangible assets and ESG integration 🌱, artificial intelligence in governance 🤖, and financial technology’s role in social responsibility 🌍. His contributions provide valuable insights into banking performance 🏦, energy economics ⚡, and digital education 📚, making a significant impact on finance, corporate strategy, and business sustainability.

Publication Top Notes

The impact of digital financial technologies on the development of entrepreneurship: Evidence from commercial banks in the emerging markets

The effect of corporate governance and firm characteristics on firm value: evidence from Jordan

Does board structure matter firm’s value? The Jordanian evidence

The linkage between conservative accounting and financial adequacy and the moderating role of corporate governance

Modeling and mediating the interaction between oil prices and economic sectors advancement: The case of Middle East

Financial technology’s role in advancing social responsibility: a bibliometric review of research progress and future opportunities

The role of human resource re-engineering in order to improve the quality of banking performance

Digital technologies in business education: a hybrid literature review from the Web of Science database

Artificial intelligence and machine learning in corporate governance: A bibliometric analysis

Quantitative Hypothesis Award

Introduction:

Welcome to the Quantitative Hypothesis Award, honoring individuals who excel in proposing and testing hypotheses using quantitative methods. This prestigious award celebrates the rigor, innovation, and impact of quantitative research in advancing knowledge across various domains.

Award Overview:

The Quantitative Hypothesis Award recognizes individuals who demonstrate excellence in formulating, testing, and validating hypotheses using quantitative techniques, contributing to the advancement of scientific inquiry and evidence-based decision-making.

Eligibility:

Open to researchers, scientists, and scholars utilizing quantitative methods in their work
No age limits apply
Qualification: Demonstrated proficiency in quantitative analysis and hypothesis testing
Publications: Evidence of quantitative research findings published in peer-reviewed journals or presented at academic conferences
Recurrements: Continued engagement in quantitative research and hypothesis-driven inquiry

Evaluation Criteria:

Candidates will be evaluated based on the following criteria:

Clarity and precision in formulating quantitative hypotheses
Soundness and robustness of quantitative methodology used for hypothesis testing
Rigor and validity of data analysis and interpretation
Impact and significance of research findings on advancing knowledge or informing decision-making

Submission Guidelines:

Submit a detailed biography highlighting quantitative research expertise and achievements
Include an abstract summarizing the quantitative hypothesis, methodology, and key findings
Provide supporting files such as research papers, data sets, statistical analyses, and visualizations

Recognition:

Recipients of the Quantitative Hypothesis Award will receive:

A prestigious award certificate
Recognition at a prominent scientific conference or symposium
Opportunities for collaboration and networking with quantitative researchers and practitioners

Community Impact:

Winners of the award are expected to inspire and promote excellence in quantitative research, fostering a culture of data-driven inquiry and evidence-based decision-making within their respective communities and beyond.

Biography:

A comprehensive biography outlining the candidate's quantitative research background, expertise, and contributions to the field is required.

Abstract and Supporting Files:

Candidates must submit an abstract summarizing their quantitative hypothesis, methodology, and key findings, along with supporting files such as research papers, data sets, statistical analyses, and visualizations to demonstrate the rigor and impact of their work.