Somchith Sompaseuth | Data-Driven Decision Making | Best Researcher Award

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Best Researcher Award

Somchith Sompaseuth
Zhengzhou University
Somchith Sompaseuth
Affiliation Zhengzhou University
Country Lao People’s Democratic Republic
Scopus ID 58760681400
Documents 2
Citations 1
h-index 1
Subject Area Data-Driven Decision Making
Event International AI Data Scientists Award
Scopus View Profile

Somchith Sompaseuth is recognized for contributions in the field of data-driven decision making, with research activities associated with Zhengzhou University. The academic profile demonstrates engagement in analytical methodologies, computational approaches, and evidence-based research practices relevant to emerging trends in artificial intelligence and data science. The recognition under the International AI Data Scientists Award reflects scholarly involvement in interdisciplinary research and applied analytical studies.[1]

Abstract

This article presents an overview of the scholarly activities and research profile of Somchith Sompaseuth in the domain of data-driven decision making. The research focus includes analytical reasoning, computational methodologies, and applications of data science within interdisciplinary environments. The profile highlights academic contributions, citation performance, and participation in international research initiatives related to artificial intelligence and digital transformation.[1]

Keywords

Data-Driven Decision Making, Artificial Intelligence, Data Analytics, Computational Research, Machine Learning, Predictive Analytics, Information Systems, Digital Transformation, Statistical Analysis, Intelligent Systems, Research Evaluation, Academic Recognition.

Introduction

Data-driven decision making has become an essential component of modern scientific research and organizational planning. Researchers in this field contribute to the interpretation of complex datasets, the development of analytical frameworks, and the implementation of intelligent systems for strategic outcomes. Somchith Sompaseuth has participated in research activities aligned with these evolving technological and methodological developments.[2]

The integration of artificial intelligence with decision sciences has enabled broader applications across healthcare, education, engineering, and computational systems. Scholarly contributions in this area support evidence-based methodologies and improve the effectiveness of data interpretation processes in academic and professional environments.[3]

Research Profile

The research profile of Somchith Sompaseuth includes publications indexed in international databases and scholarly engagement in data-oriented research domains. The documented citation metrics and publication records indicate active participation in scientific dissemination and collaborative academic initiatives.[1]

  • Research specialization in data-driven decision methodologies.
  • Academic affiliation with Zhengzhou University.
  • Indexed publications within recognized academic databases.
  • Engagement with interdisciplinary analytical research.

Research Contributions

The scholarly contributions associated with Somchith Sompaseuth involve the application of analytical reasoning and computational techniques within data-intensive environments. Research activities contribute to the broader understanding of intelligent decision-support systems and data interpretation models.[2]

The work further reflects growing interest in the integration of machine learning and evidence-based computational practices for supporting organizational and scientific decision processes. These efforts align with current global trends in artificial intelligence and digital analytics.[3]

Publications

Selected research outputs and indexed publications associated with the researcher demonstrate engagement in contemporary topics related to computational intelligence and analytical methodologies.[1]

  • Research publications indexed within Scopus-authorized databases.
  • Contributions to interdisciplinary analytical studies.
  • Participation in research related to intelligent systems and data science.
  • Academic dissemination through international scholarly platforms.

Research Impact

Research impact may be evaluated through publication visibility, citation metrics, collaborative activity, and thematic relevance. The available metrics associated with Somchith Sompaseuth indicate emerging scholarly engagement in the field of data-driven decision making.[1]

The interdisciplinary nature of data science enables research findings to contribute across multiple sectors, including digital systems, analytics, and computational intelligence. Such contributions support knowledge development and evidence-based innovation within academic communities.[3]

Award Suitability

The Best Researcher Award under the International AI Data Scientists Award framework recognizes academic participation, analytical research efforts, and contributions to the advancement of intelligent data methodologies. Somchith Sompaseuth demonstrates alignment with these objectives through scholarly activities related to data-driven research and interdisciplinary analytical studies.[4]

The recognition also reflects the increasing importance of early-stage and emerging research contributions in shaping future developments in artificial intelligence, analytics, and evidence-based computational systems.[2]

Conclusion

Somchith Sompaseuth represents an emerging academic profile in the area of data-driven decision making. Through participation in computational and analytical research activities, the researcher contributes to ongoing scholarly developments associated with artificial intelligence and digital transformation. The recognition through the International AI Data Scientists Award acknowledges these efforts within a global academic context.[4]

References

  1. Elsevier. (n.d.). Scopus author details: Somchith Sompaseuth, Author ID 58760681400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58760681400
  2. Google Scholar. (n.d.). Scholar profile and indexed academic activities of Somchith Sompaseuth.
    https://scholar.google.com/citations?user=-OOBUl4AAAAJ&hl=en&oi=ao
  3. Proceedings in Computer Science. (2021). Applications of data-driven analytical frameworks in intelligent systems.
    https://doi.org/10.1016/j.procs.2021.01.123
  4. International AI Data Scientists Award. (n.d.). Award categories and international research recognition framework.
    https://aidatascientists.com/

H. Dennis Park | Startup Innovation in The Digital Era | Best Researcher Award

Published on by AI Data Scientist

Assoc. Prof. Dr. H. Dennis Park | Startup Innovation in The Digital Era | Best Researcher Award

Associate Professor of Innovation and Entrepreneurship at University of Texas at Dallas, United States

Dr. H. Dennis Park is an Associate Professor of Innovation and Entrepreneurship at the Naveen Jindal School of Management, University of Texas at Dallas. His work focuses on the strategic management of innovation, particularly in technology entrepreneurship, where he investigates the role of corporate investors and the use of external resources for new knowledge creation. His expertise bridges economics-based theories, such as agency theory, knowledge-based views, and transaction cost economics, with a focus on the governance of new ventures and technology commercialization.

Profile

Orcid

Education

Dr. Park holds a Ph.D. in Technology Entrepreneurship and Strategic Management from the Michael G. Foster School of Business, University of Washington. His dissertation, titled “The influence of corporate investors on the development and performance of new ventures,” was a finalist for the prestigious Technology and Innovation Management (TIM) Division Best Dissertation Award at the Academy of Management. Additionally, he holds an MBA from the Robert E. McDonough School of Business, Georgetown University, and a Bachelor of Arts in Computer Sciences, Economics, and Mathematics from the University of Wisconsin at Madison.

Experience

Dr. Park has a broad academic background, having served as an Assistant Professor at Drexel University and the University of Missouri–Kansas City before joining the University of Texas at Dallas in 2017. His work has contributed significantly to the fields of entrepreneurship, innovation, and venture capital, as he continues to advance the understanding of the intersection between corporate investors and startup innovation. His professional trajectory is marked by a consistent focus on the strategic governance of innovation in high-tech industries and the dynamic role of venture capital.

Research Interests

Dr. Park’s research explores how startups and established firms leverage external resources, such as venture capital, intellectual property, and human capital, to generate new knowledge and create economic value. His work often employs theoretical frameworks like agency theory and knowledge-based views to understand the mechanisms that drive innovation and firm performance. His interests also extend to artificial intelligence, corporate venture capital, digitization, and intellectual property rights in the context of technology entrepreneurship.

Awards

Dr. Park has received several accolades for his research and teaching, including nominations for the Provost’s Award for Excellence in Graduate Research Mentoring and the President’s Excellence in Teaching Award at UT-Dallas. His research has earned him the 2021 Southwest Academy of Management Distinguished Paper Award and multiple Best Reviewer Awards from prestigious journals like the Journal of Business Venturing.

Publications

Dr. Park has contributed to numerous high-impact journals. Notable publications include:

  1. Park, H. D., & Steensma, H. K. (2012). “When does corporate venture capital add value for new ventures?” Strategic Management Journal, 33(1): 1-22. Cited by 252 articles.

  2. Park, H. D., & Tzabbar, D. (2016). “Venture capital, CEOs’ sources of power, and innovation novelty at different life stages of a new venture.” Organization Science, 27(2): 336-353. Cited by 125 articles.

  3. Kim, J. Y. R., & Park, H. D. (2017). “Two faces of early CVC funding: Fostering innovation and inhibiting IPOs.” Strategy Science, 2(3): 161-175. Cited by 92 articles.

  4. Dass, N., Nanda, V. K., Park, H. D., & Xiao, S. (2021). “Intellectual property protection and financial markets: Patenting vs. secrecy.” Review of Finance, 25(3): 669-711. Cited by 77 articles.

  5. Kwon, J. H., Park, H. D., & Deng, S. (2022). “When do firms trade patents?” Organization Science, 33(3): 1212-1231. Cited by 63 articles.

  6. Xu, L., Ou, A., Park, H. D., & Jiang, H. (2024). “Breaking barriers or maintaining status quo? Female representation on decision-making groups of venture capital firms and funding of women-led businesses.” Journal of Business Venturing, 39(1): 106368. Cited by 45 articles.

Conclusion

Dr. H. Dennis Park’s contributions to the fields of entrepreneurship and innovation, particularly in the area of corporate venture capital and new venture governance, have earned him recognition as a thought leader. His work not only informs academic discourse but also provides valuable insights for practitioners in technology entrepreneurship. Through his research, teaching, and mentoring, Dr. Park continues to shape the future of innovation management and strategic entrepreneurship.