Ieda Margarete Oro | Digital Transformation | Best Researcher Award

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Prof. Dr. Ieda Margarete Oro  –  Digital Transformation –  Best Researcher Award

Alignment with Award Category

Dr. Ieda Margarete Oro’s extensive contributions to research in accounting, business strategy, and management control systems strongly align with categories such as: Best Researcher Award (for significant research impact in accounting and management sciences). Excellence in Innovation Award (for her contributions to digital strategies and sustainable business practices).

 

Universidade do oeste de Santa Catarina | Brazil

Scopus

Orcid

Scholar

🎓Early Academic Pursuits 

Education and Training

Ieda Margarete Oro embarked on her academic journey with a deep interest in Accounting and Administration, fields that play a crucial role in business sustainability and organizational growth. She earned her PhD in Accounting and Administration from the Regional University of Blumenau in 2015, focusing on strategic financial management and controllership. Her strong foundation in these disciplines paved the way for an extensive career in research and teaching, ultimately shaping the future of business management through innovation and sustainability.

💼Professional Endeavors 

Academic Positions

Currently, Ieda Margarete Oro serves as a Researcher and Professor at UNOESC, where she contributes significantly to the Accounting Sciences Course and the Professional Master’s Degree in Administration. Her expertise extends to the Academic Doctorate program at UNOESC, where she mentors students and leads groundbreaking research initiatives. Her professional experience encompasses diverse areas, including Management Control Systems, Performance Evaluation, Corporate Finance, and Family Businesses. Between 2018 and 2020, she held the prestigious position of Editor-in-Chief of RACE, a well-regarded academic journal. She is also an active member of the scientific committee of the RCCC – CRCSC and an ad hoc associate editor at RAE-FGV, further showcasing her dedication to advancing research in her domain. Additionally, she is a distinguished member of the Santa Catarina Academy of Accounting Science, underscoring her influence in shaping accounting standards and practices.

📚Contributions and Research Focus on Digital Transformation

eda Margarete Oro has made substantial contributions to the fields of accounting, administration, and business strategy. Her research primarily focuses on sustainable business practices, digital transformation, and financial strategies for MSMEs. Some of her key research projects include:

1. Green Strategy and Innovative Performance

This research investigates the interrelationship between sustainable business practices and innovation in family and non-family businesses. The study evaluates how management control systems mediate this relationship, providing insights into the adoption of green strategies for long-term business sustainability.

2. Strategies to Improve MSME Competitiveness in Ibero-America

Recognizing the economic challenges faced by Micro, Small, and Medium Enterprises (MSMEs), this project analyzes their primary obstacles and proposes strategic solutions to enhance their competitiveness. The research employs qualitative interviews and empirical analysis to devise actionable frameworks for business resilience.

3. Digital Strategy in Brazilian Family Businesses

This study explores the role of digitalization strategies in improving business performance, particularly among Brazilian family MSMEs. Using quantitative research methodologies and SmartPLS 4.0 software, the findings confirm the positive impact of digitalization and organizational innovation on business success.

🏆Accolades and Recognition 

Ieda Margarete Oro’s contributions have garnered widespread recognition in the academic and professional communities. Her research citations (788), h-index (15), and i10-index (20) reflect her substantial impact in the field. With 29 indexed journal publications and 6 indexed documents, she has established herself as a thought leader in accounting and business strategy. Additionally, she has played a pivotal role in major research collaborations, including her leadership position as Theme Leader for the ENANPAD Accounting Division.

🌍 Impact and Influence 

Community Impact

Beyond academia, Ieda’s research has profound real-world implications, influencing corporate decision-making, business sustainability, and financial strategy development. Her work on green strategies and digitalization serves as a guiding framework for businesses seeking sustainable and technology-driven growth. Furthermore, her involvement with FAEDPYME, a collaborative network for Latin American and Spanish researchers, amplifies her contributions to global research in MSME development.

🔮Legacy and Future Contributions 

Looking ahead, Ieda Margarete Oro continues to push the boundaries of research in strategic management, digital transformation, and sustainable business practices. Her upcoming projects aim to expand knowledge on corporate finance models, sustainability metrics, and digital adaptation in emerging markets. She is also working on publishing books that encapsulate her research insights, further enriching the academic and professional communities.

Conclusion

Ieda Margarete Oro’s dedication to research, education, and business transformation positions her as a leading figure in the domains of accounting and administration. Her commitment to sustainability, digital innovation, and strategic financial management continues to shape industries and inspire future generations of business leaders and researchers. As she forges ahead with her groundbreaking work, her legacy in academia and industry will undoubtedly leave a lasting impact on the global business landscape.

📚Publications

  • Digital strategy in Brazilian family business

    Authors: Oro, I.M., Begnini, S., Cassaro, E., Scherner, T.T.

    Journals: Electronic Journal of Information Systems in Developing Countries

  • The relationship between the use of technologies and digitalization strategies for digital transformation in family businesses

    Authors: Begnini, S., Oro, I.M., Tonial, G., Dalbosco, I.B.

    Journals:  Journal of Family Business Management

  • Organizational values: Antecedents of well-being at work for rural successors | VALORES ORGANIZACIONAIS: ANTECEDENTES DE BEM-ESTAR NO TRABALHO PARA SUCESSORES RURAIS

    Authors: Zawadzki, P., Teston, S.F., Lizote, S.A., Oro, I.M.

    Journals:  Revista de Administracao Mackenzie

  • Conformity of integrated reports in relation to the guidelines for international integrated reporting council | Fatores determinantes da conformidade dos relatÓrios integrados em relaÇÃo Às diretrizes divulgadas pelo international integrated reporting council

    Authors: Rizzi, D.I., Mazzioni, S., De Moura, G.D., Oro, I.M.

    Journals:  Revista de Gestao Social e Ambiental, 

  • Interface between management control systems and strategy and performance measures in a family business*,**

    Authors: Oro, I.M., Lavarda, C.E.F.

    Journals:  Revista Contabilidade e Financas

Mingxi Li | FinTech | Best Researcher Award

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Ms. Mingxi Li  –  FinTech  –  Best Researcher Award

University of Illinois Urbana-Champaign | United States

      Profiles

Orcid

 

📍Current Position

Graduate Student, University of Illinois Urbana-Champaign (UIUC)
Mingxi Li is currently pursuing a Master’s degree in Predictive Analytics and Risk Management at UIUC, United States. Since August 2023, Mingxi has been deepening his expertise in data-driven methodologies and predictive modeling, holding an impressive GPA of 3.89. His coursework has focused on cutting-edge subjects such as Artificial Intelligence, Statistical Learning, Advanced Predictive Analytics, and Applied Bayesian Analysis, which have provided him with a solid foundation in risk management and predictive analytics

 

📝Publication Achievements

Mingxi’s research work has already gained visibility through two significant publications. In 2024, he co-authored a study, “Predicting Body Composition in the U.S. Population Using Machine Learning Models,” published in Medicine & Science in Sports & Exercise. This work focuses on applying machine learning to predict body composition metrics, contributing valuable insights to health-related AI applications. Additionally, an upcoming article in the North American Journal of Economics and Finance titled “Regional FinTech Development and Total Factor Productivity Among Firms: Evidence from China” is set to be published in 2025. This paper examines the impact of FinTech development on productivity, reflecting Mingxi’s versatility in applying AI to diverse fields, including finance.

 

🔍Ongoing Research

Mingxi’s ongoing research projects center on leveraging machine learning and predictive analytics across various fields. His recent project on a Recommendation System for Amazon Products utilized an LDA-based recommendation model to improve collaborative filtering using NLP techniques. Another notable project involves Predictive Modeling in Flight Data, where he employed Random Forest algorithms to predict flight ground times with accuracy-enhancing methods such as feature engineering and performance evaluation.

 

🔬 Research Interests

Mingxi’s research interests are broad yet focused within predictive analytics, covering essential areas such as risk management, AI, and data science applications. His passion for bioinformatics, as evidenced by his machine learning model work in medical data, showcases his drive to explore interdisciplinary applications of AI, particularly in healthcare and finance.

 

🎓Academic Background

Mingxi graduated with a Bachelor’s degree in Finance from Southwest University of Political Science & Law, China, in 2022, where he maintained a solid GPA of 3.5. His finance education included a robust curriculum focused on Corporate Finance, Financial Supervision, Financial Risk Management, and Finance Engineering. His journey into predictive analytics at UIUC allows him to merge his financial knowledge with AI, making him uniquely qualified for data-intensive finance roles.

 

🏆Scholarships and Awards 

Mingxi has shown exemplary academic performance, achieving a GPA of 3.89 in a rigorous program at UIUC. His dedication has not only earned him high grades but also contributed to several impactful projects in fields as varied as finance, health, and technology.

 

🧬Bioinformatics 

Mingxi’s work on predictive models for heart disease reflects his engagement with bioinformatics, where he applied machine learning models, such as Random Forest and XGBoost, to identify key predictors of heart disease with an accuracy of 83%. This expertise emphasizes his interdisciplinary skillset and commitment to using data science to solve real-world health issues.

 

🌐Professional Associations 

As part of his graduate journey, Mingxi actively engages in professional associations related to finance, data science, and risk management. These affiliations allow him to stay current on industry trends, collaborate with other professionals, and participate in discussions that shape his research and career path.

 

 📚Training & Workshops 

Mingxi has attended workshops focused on AI tools, machine learning, and data analytics, enhancing his technical expertise in Python, R, SQL, SPSS, MATLAB, and more. These sessions have equipped him with the skills needed to analyze and interpret complex datasets efficiently, preparing him for high-demand roles in the analytics field.

 

🎤Oral Presentations and🗣️Thought Leadership 

Mingxi has presented his projects at academic and professional platforms, particularly those related to predictive modeling in health and finance. His ability to effectively communicate complex models and their implications for real-world applications demonstrates his readiness for roles that require both technical expertise and client-facing skills.

 

🧑‍🔬Tasks Completed as a Researcher 

Mingxi’s portfolio includes various analytical projects with a strong research component, such as his work on Amazon’s Recommendation System and Flight Data Predictive Modeling. His ability to manage data processing, feature engineering, and model evaluation highlights his technical skills and attention to detail. Additionally, his role in developing predictive models for employee attrition and heart disease underlines his commitment to impactful, data-driven insights.

 

🚀Success Factors 

Mingxi’s success stems from a unique combination of analytical acumen, technical skills, and a proactive attitude toward interdisciplinary research. His expertise in both finance and data science, combined with his practical experience in machine learning and predictive analytics, gives him a competitive edge. His participation in projects such as Amazon’s recommendation system exemplifies his adaptability and creativity in solving diverse problems.

 

🧪Publications & Laboratory Experience

Mingxi’s laboratory and data analysis experience are well-documented through his publications and projects. His exposure to various data-processing environments and use of analytical tools like Stata, SPSS, and SQL reflect a comprehensive skill set. His publication on body composition prediction and ongoing work in FinTech analytics attest to his research capabilities and laboratory expertise.

 

🔍 Conclusion

Mingxi Li stands out as a dynamic and versatile candidate with strengths in predictive analytics, risk management, and data science. His educational background, bolstered by hands-on experience in finance and machine learning, positions him as a valuable asset to any data-intensive field. Mingxi’s interdisciplinary knowledge, combined with his commitment to innovation, will likely lead him to make significant contributions to both academia and industry.

📚Publications

Regional FinTech development and total factor productivity among firms: Evidence from China

     Authors: Yunzhong Li; Chengfang Ye; Mingxi Li; Wai Yan Shum; Fujun Lai

     Journal:  The North American Journal of Economics and Finance

Predicting Body Composition In The U.S. Population Using Machine Learning Models

       Authors: Huaijin Xu; Jason Situ; Ruibo Hou; Mingxi Li; Xiaotian Gao

       Journal: Medicine & Science in Sports & Exercise