Prof .Jungmin Seo | Organizational Behavior

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Prof .Jungmin Seo:Leading Researcher in Organizational Behavior

Assistant Professor at California State University, Fullerton, United States

Congratulations, prof. Jungmin Seo, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

prof. Jungmin Seo is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

🎓 Education

  • W.P. Carey School of Business, Arizona State University
    • Doctor of Philosophy in Management, Organizational Behavior
  • University of Illinois at Urbana-Champaign
    • Master of Education in Human Resources Development
  • Sookmyung Women’s University (Seoul, Korea)
    • Bachelor of Business Administration
    • Bachelor of Arts in Chinese Language and Literature

👨‍🏫 Professional Experience

  • California State University, Fullerton, College of Business and Economics
    • Assistant Professor (2016 – Present)
  • Arizona State University, W.P. Carey School of Business
    • Graduate Associate (2011 – 2016)
  • SAMSUNG Corporation, Suwon Korea
    • Associate, SAMSUNG Mobile Display Co. (2008 – 2009)
    • Associate, SAMSUNG SDI Co. (2006 – 2008)
  • Korean Women Entrepreneurs Association, Seoul Korea
    • Internship: Leading a leadership training program (2005)

📝 Manuscripts in Progress
Current ongoing research projects and their statuses.

🗣️ Conference Presentations
Presentations made at various conferences.

📖 Teaching Experience
Summary of teaching positions and courses taught.

🤝 Professional Activities and Affiliations
Details about participation in professional organizations and reviewer roles.

🔍 Research Interests
Areas of interest in the field of organizational behavior.

🏆 Scholarships, Grants, Awards
Recognition and awards received for research, teaching, and contributions.

📚 Publications
List of published works and articles in various journals.

  • Does vicarious entrepreneurial failure induce or discourage one’s entrepreneurial intent? A mediated model of entrepreneurial self-efficacy and identity aspiration
  • The ways to avoid abusive supervision: the moderating effects of the characteristics of supervisors and subordinates on abusive supervision
  • Not all differentiation is the same: Examining the moderating effects of leader-member exchange (LMX) configurations.
  • When Can Humble Top Executives Retain Middle Managers? The Moderating Role of Top Management Team Faultlines
  • How and Why High Leader–Member Exchange (LMX) Relationships Develop
  • Managing Employees’ Motivation, Cognition, and Performance in Virtual Workplaces: The Blueprint of a Game-based Adaptive Performance Platform (GAPP)

Collaborative Excellence Award

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Introduction of Collaborative Excellence Award

The Collaborative Excellence Award celebrates outstanding collaboration and partnership achievements in advancing Statistical Methods for Analyzing Engineering Data.

Eligibility:
  • Age Limit: None
  • Qualifications: Open to individuals or groups showcasing exemplary collaborative efforts in leveraging statistical methodologies.
  • Publications: Emphasis on collaborative projects, joint initiatives, or impactful teamwork in this specialized field.
  • Requirements: Applicants must demonstrate the success and impact of collaborative endeavors using statistical methods.
Evaluation Criteria:

Entries will be assessed based on:

  • Demonstrated excellence in collaborative efforts using statistical methodologies.
  • Significance of collaborative projects in advancing engineering data analysis practices.
  • Impact and outcomes resulting from successful collaboration.
Submission Guidelines:
  • Comprehensive documentation highlighting collaborative projects and their impact.
  • Descriptions of collaborative initiatives showcasing the utilization of statistical methods.
  • Supporting evidence or case studies demonstrating the success of collaborative methodologies.
Recognition:

The recipient will be honored with the Collaborative Excellence Award, acknowledging their outstanding collaborative achievements and contributions to advancing statistical methodologies in engineering data analysis.

Community Impact:

Winners will have the opportunity to inspire collaboration, fostering a culture of teamwork and innovation within the statistical and engineering communities.

Technical Innovation Award

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Introduction of Technical Innovation Award

The Technical Innovation Award commends individuals exhibiting pioneering advancements and creative solutions in the application of Statistical Methods for Analyzing Engineering Data.

Eligibility:
  • Age Limit: None
  • Qualifications: Open to innovators showcasing significant technical advancements using statistical methodologies.
  • Publications: Emphasis on technical innovations, breakthroughs, or impactful technical contributions in this specialized field.
  • Requirements: Applicants must demonstrate their technical innovation in applying statistical methods.
Evaluation Criteria:

Entries will be evaluated based on:

  • Uniqueness and creativity demonstrated in the application of statistical methods.
  • Significance of technical advancements in improving engineering data analysis practices.
  • Practical implications and successful implementations of the technical innovation.
Submission Guidelines:
  • Detailed documentation highlighting technical innovations and breakthroughs achieved.
  • Descriptions of technical advancements showcasing the impact of statistical methods.
  • Supporting evidence or case studies demonstrating the success of technical methodologies.
Recognition:

The recipient will be honored with the Technical Innovation Award, acknowledging their outstanding technical contributions and innovations in applying statistical methods to engineering data analysis.

Community Impact:

Winners will have the platform to share their technical insights, fostering knowledge exchange and inspiring further innovation within the statistical and engineering communities.

Entrepreneurial Achievement Award

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Introduction of Entrepreneurial Achievement Award

The Entrepreneurial Achievement Award celebrates individuals demonstrating exceptional entrepreneurial spirit and innovation in harnessing Statistical Methods for Analyzing Engineering Data.

Eligibility:
  • Age Limit: None
  • Qualifications: Open to entrepreneurial innovators showcasing impactful use of statistical methodologies in business ventures.
  • Publications: Emphasis on entrepreneurial endeavors, business applications, or innovative implementations in this specialized field.
  • Requirements: Applicants must highlight their entrepreneurial achievements using statistical methods.
Evaluation Criteria:

Entries will be assessed based on:

  • Entrepreneurial vision and innovation demonstrated in utilizing statistical methodologies.
  • Business impact and success achieved through the application of statistical methods in engineering data analysis.
  • Tangible outcomes and growth resulting from entrepreneurial ventures.
Submission Guidelines:
  • Comprehensive biography highlighting entrepreneurial achievements and successful ventures.
  • Descriptions of business applications or initiatives showcasing the successful use of statistical methodologies.
  • Supporting documentation demonstrating the business impact achieved.
Recognition:

The recipient will be honored with the Entrepreneurial Achievement Award, acknowledging their groundbreaking entrepreneurial endeavors leveraging statistical methods in engineering data analysis.

Community Impact:

Winners will have the opportunity to inspire and share insights, fostering a culture of entrepreneurship and innovation within the statistical and engineering communities.

Leadership in Statistical Methods Award

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Introduction of Leadership in Statistical Methods Award

The Leadership in Statistical Methods Award stands as a testament to individuals who exemplify exceptional leadership in steering and shaping the landscape of Statistical Methods for Analyzing Engineering Data.

Eligibility:
  • Age Limit: None
  • Qualifications: Open to leaders showcasing significant contributions and influence in statistical methodologies.
  • Publications: Emphasis on leadership in driving statistical advancements, publications, or significant initiatives.
  • Requirements: Applicants must demonstrate influential leadership in advancing statistical methods.
Evaluation Criteria:

Entries will be evaluated based on:

  • Demonstrated leadership in shaping and advancing statistical methodologies.
  • Impact and influence on the progression of statistical methods in engineering data analysis.
  • Contributions fostering growth and innovation within the statistical community.
Submission Guidelines:
  • A comprehensive biography highlighting leadership achievements in statistical methodologies.
  • Detailed descriptions of initiatives or projects showcasing leadership impact.
  • Supporting documentation demonstrating the influence on statistical advancements.
Recognition:

The recipient will receive the Leadership in Statistical Methods Award, honoring their instrumental role in shaping and propelling statistical methodologies within engineering data analysis.

Community Impact:

Winners will have the platform to share insights, fostering collaboration and inspiring future leadership within the statistical and engineering communities.

Excellence in Analytics Award

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Introduction of Excellence in Analytics Award

The Excellence in Analytics Award celebrates visionary individuals driving transformative advancements through analytics in the domain of Statistical Methods for Analyzing Engineering Data.

Eligibility:
  • Age Limit: None
  • Qualifications: Open to professionals showcasing exemplary use of analytics in engineering data analysis.
  • Publications: Emphasis on demonstrated achievements through analytics-driven solutions, research, or applied analytics projects.
  • Requirements: Applicants must illustrate exceptional achievements and impact through analytics in engineering data analysis.
Evaluation Criteria:

Entries will be assessed based on:

  • Innovative application of analytics in engineering data analysis.
  • Demonstrated impact and effectiveness of analytics-driven solutions.
  • Contribution to advancing analytical methodologies in the field.
Submission Guidelines:
  • Comprehensive biography highlighting achievements in analytics.
  • Detailed abstract showcasing analytics-driven accomplishments in engineering data analysis.
  • Supporting documents such as case studies, research papers, or relevant analytics projects.
Recognition:

The recipient will be honored with the Excellence in Analytics Award, acknowledging their groundbreaking contributions to advancing engineering data analysis through analytics.

Community Impact:

Winners will have the platform to share their insights, fostering collaboration and driving innovation within the analytics and engineering communities.

Academic Excellence Award

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Introduction of Academic Excellence Award

The Academic Excellence Award stands as a beacon, recognizing exceptional scholarly achievements within the realm of Statistical Methods for Analyzing Engineering Data.

Eligibility:

  • Age Limit: None
  • Qualifications: Open to scholars, researchers, and academics demonstrating outstanding prowess in statistical methods for engineering data analysis.
  • Publications: Emphasis on impactful research, published works, or notable academic contributions.
  • Requirements: Applicants must showcase exemplary academic excellence within this specialized field.

Evaluation Criteria:

Candidates will be evaluated based on:

  • Demonstrated excellence in academic research, publications, or scholarly endeavors.
  • Significance of contributions toward advancing statistical methods in engineering data analysis.
  • Influence and impact within the academic community.

Submission Guidelines:

  • Detailed biography highlighting exceptional academic achievements.
  • Comprehensive abstract summarizing substantial contributions to statistical methods in engineering data analysis.
  • Supportive documents such as publications, research papers, or relevant academic work.

Recognition:

The recipient of the Academic Excellence Award will be celebrated for their outstanding contributions, honoring their academic achievements in advancing statistical methodologies within engineering data analysis.

Community Impact:

Winners will have the opportunity to inspire and collaborate within the academic community, fostering knowledge exchange and academic growth.

Innovation Catalyst Award for Statistical Engineering Data Analysis

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Introduction of Innovation Catalyst Award for Statistical Engineering Data Analysis

Welcome to the Innovation Catalyst Award for Statistical Engineering Data Analysis—an esteemed recognition honoring individuals who act as catalysts for innovation, driving transformative advancements in statistical methodologies within engineering data analysis.

Eligibility:
  • Age Limit: None
  • Qualifications: Open to catalysts, innovators, and change-makers demonstrating significant contributions in propelling innovation in statistical methods for engineering data analysis.
  • Publications: Emphasis on catalyzing innovation, fostering change, or driving impactful initiatives in this specialized field.
  • Requirements: Applicants must showcase their role in catalyzing innovation and fostering advancements in statistical methodologies.
Evaluation Criteria:

Entries will be evaluated based on:

  • The extent to which the individual has acted as a catalyst for innovation in statistical methodologies.
  • Impact and transformative nature of their contributions to advancing engineering data analysis practices.
  • Inspiring and fostering a culture of innovation within the statistical engineering domain.
Submission Guidelines:
  • Include a comprehensive biography highlighting catalytic innovations and transformative contributions.
  • Attach examples, projects, or initiatives showcasing the impact and success of their innovation catalyst role.
  • Support with documentation demonstrating the transformation and influence brought about by their initiatives.

The recipient will be h

Recognition:

onored with the prestigious Innovation Catalyst Award, acknowledging their pivotal role as an innovation catalyst in advancing statistical methods within engineering data analysis.

Community Impact:

Winners will have the opportunity to share their catalytic insights, inspiring others and fostering a culture of innovation within the statistical and engineering communities.

Entrepreneurial Excellence Award for Statistical Methods in Engineering Data Analysis

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Introduction of Entrepreneurial Excellence Award for Statistical Methods in Engineering Data Analysis

Welcome to the Entrepreneurial Excellence Award for Statistical Methods in Engineering Data Analysis—a distinguished honor recognizing individuals who demonstrate exceptional entrepreneurial spirit and innovation in leveraging statistical methodologies within engineering data analysis for business success.

Eligibility:
  • Age Limit: None
  • Qualifications: Open to entrepreneurs, innovators, and business leaders showcasing remarkable entrepreneurship in utilizing statistical methods for engineering data analysis.
  • Publications: Emphasis on entrepreneurial ventures, business applications, or innovative implementations in this specialized field.
  • Requirements: Applicants must showcase their entrepreneurial achievements and their impact on leveraging statistical methodologies for business success.
Evaluation Criteria:

Entries will be assessed based on:

  • Entrepreneurial vision and innovation in utilizing statistical methodologies for business growth.
  • Demonstrated success and impact of statistical methods on business outcomes within engineering data analysis.
  • Practical applications and scalability of entrepreneurial ventures using statistical techniques.
Submission Guidelines:
  • Include a comprehensive biography highlighting entrepreneurial achievements and successful ventures.
  • Attach case studies, business plans, or examples demonstrating the successful use of statistical methods in entrepreneurial endeavors.
  • Support with documentation showcasing the business impact and growth achieved through statistical methodologies.
Recognition:

The recipient will be honored with the prestigious Entrepreneurial Excellence Award, acknowledging their exceptional entrepreneurial endeavors leveraging statistical methods within engineering data analysis for business success.

Community Impact:

Winners will have the opportunity to share their entrepreneurial insights, fostering business innovation and inspiring others within the statistical and engineering communities.

Technical Achievement Award in Statistical Engineering Data Analysis

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Introduction of Technical Achievement Award in Statistical Engineering Data Analysis

Welcome to the Technical Achievement Award in Statistical Engineering Data Analysis—an esteemed recognition celebrating individuals who have demonstrated outstanding technical prowess and achievements in advancing statistical methodologies within the realm of engineering data analysis.

Eligibility:
  • Age Limit: None
  • Qualifications: Open to professionals, experts, and innovators showcasing exceptional technical achievements in statistical engineering data analysis.
  • Publications: Emphasis on technical advancements, innovative methodologies, or significant contributions in this specialized field.
  • Requirements: Applicants must highlight their technical achievements and their impact on advancing statistical methodologies.
Evaluation Criteria:

Entries will be evaluated based on:

  • Innovation and technical excellence demonstrated in advancing statistical methodologies.
  • Significance of technical achievements in improving engineering data analysis practices.
  • Theoretical and practical implications of the technical advancements made.
Submission Guidelines:
  • Include a comprehensive biography highlighting technical achievements and breakthroughs.
  • Attach technical papers, case studies, or examples demonstrating the impact of technical advancements.
  • Support with documentation showcasing the implementation and success of technical methodologies.
Recognition:

The recipient will be honored with the prestigious Technical Achievement Award, acknowledging their exceptional technical contributions to advancing statistical methods within engineering data analysis.

Community Impact:

Winners will have the opportunity to share their technical insights, fostering knowledge exchange and inspiring further advancements within the statistical and engineering communities.