Qing Yang | Business, Management and Accounting | Innovative Research Award

Innovative Research Award

Qing Yang
Shanxi University of Finance and Economics, China

Qing Yang
Affiliation Shanxi University of Finance and Economics
Country China
Scopus ID 57191430128
Documents 7
Citations 133
h-index 4
Subject Area Business, Management and Accounting
Event Global Innovation Technologist Awards

Qing Yang is a researcher affiliated with Shanxi University of Finance and Economics, China, whose documented scholarly work addresses decision science, talent evaluation, organizational behavior, innovation, and group decision-making. The research record includes publications examining overseas talent assessment, person–job matching, innovative work behavior, organizational turnaround, and participatory decision-making. These themes connect quantitative decision methods with contemporary management and human-resource questions.[1][2]

Abstract

This academic recognition profile presents the research record of Qing Yang in Business, Management and Accounting. The available profile reports 7 documents, 133 citations, and an h-index of 4. Published work demonstrates a methodological orientation toward multi-criteria decision-making, intuitionistic fuzzy methods, talent management, organizational behavior, and innovation-related questions.[1][3]

Keywords

Innovation; decision-making; talent management; overseas talent; organizational behavior; fuzzy decision methods; group decision-making; human resources; management research.

Introduction

Yang’s research portfolio reflects the intersection of management theory and structured analytical approaches. A recurring concern is how complex organizational and human-resource decisions can be evaluated systematically when information is uncertain, heterogeneous, or supplied by multiple stakeholders. This orientation is evident in studies of overseas talent classification and person–job fit in China.[1][2]

Research Profile

  • Business, Management and Accounting
  • Multi-criteria and group decision-making
  • Talent evaluation and management
  • Organizational innovation and behavior

Research Contributions

The published studies contribute to methodological and applied management research. One line of work develops matching and evaluation procedures using intuitionistic preference relations, BWM, TOPSIS, and large-scale group decision-making techniques.[1][2] Other research considers government support for talent policy and innovative work behavior, extending attention from internal organizational factors toward external institutional influences.[3]

Publications

  1. Yang, Q., You, X., & Zhang, Y. (2021). Two-sided matching based on I-BTM and LSGDM applied to high-level overseas talent and job fit problems. Scientific Reports, 11, 12723.
  2. Yang, Q., Zhang, Z., You, X., & Chen, T. (2016). Evaluation and Classification of Overseas Talents in China Based on the BWM for Intuitionistic Relations. Symmetry, 8(11), 137.
  3. Yang, Q., Wei, W., & Zhao, Y. (2022). Influence of Strategy Deviance on Organizational Turnaround—To be Different, or to be the Same? Soft Science, 10. In Chinese.
  4. Liu, M., Zhang, Z., & Yang, Q. (2021). Examining the External Antecedents of Innovative Work Behavior: The Role of Government Support for Talent Policy. International Journal of Environmental Research and Public Health, 18, 1213.
  5. You, X., & Yang, Q. (2019). An aggregating method to big group decision-making problem for the public participation problem under the Chinese situation. Journal of Intelligent & Fuzzy Systems, 36(1), 487–504.

Research Impact

The supplied bibliometric profile records 133 citations and an h-index of 4 across 7 documents. These indicators provide a quantitative snapshot of scholarly visibility, while the publication portfolio provides complementary evidence of research activity across decision science, talent policy, organizational behavior, and management applications.

Award Suitability

For the Global Innovation Technologist Awards, the documented research profile is relevant to an Innovative Research Award because it combines analytical decision methodologies with practical management and talent-related problems. Suitability should ultimately be assessed against the award’s official eligibility criteria, evidence requirements, and independent review procedures.

Conclusion

Qing Yang’s documented scholarship presents a coherent research profile centered on management decision-making, talent evaluation, organizational behavior, and innovation. The combination of peer-reviewed publications and reported citation indicators provides a structured basis for academic recognition while allowing award evaluation to remain evidence-based and transparent.

References

  1. Yang, Q., You, X., & Zhang, Y. (2021). Two-sided matching based on I-BTM and LSGDM applied to high-level overseas talent and job fit problems. Scientific Reports, 11, 12723.
    https://doi.org/10.1038/s41598-021-92057-7
  2. Yang, Q., Zhang, Z., You, X., & Chen, T. (2016). Evaluation and Classification of Overseas Talents in China Based on the BWM for Intuitionistic Relations. Symmetry, 8(11), 137.
    https://doi.org/10.3390/sym8110137
  3. Zhang, Z., Liu, M., & Yang, Q. (2021). Examining the External Antecedents of Innovative Work Behavior: The Role of Government Support for Talent Policy. International Journal of Environmental Research and Public Health, 18(3), 1213.
    https://doi.org/10.3390/ijerph18031213
  4. You, X., & Yang, Q. (2019). An aggregating method to big group decision-making problem for the public participation problem under the Chinese situation. Journal of Intelligent & Fuzzy Systems, 36(1), 487–504.
    https://doi.org/10.3233/JIFS-18615
  5. Elsevier. (n.d.). Scopus author details: Qing Yang, Author ID 57191430128. Scopus.
    https://www.scopus.com/pages/authors/57191430128
  6. Global Innovation Technologist Awards. (n.d.). Official award website.
    innovationtechnologist.com

Mengqi Dai | Management | Research Excellence Award

Ms. Mengqi Dai | Management | Research Excellence Award

Heilongjiang Bayi Agricultural University | China

Ms. Mengqi Dai is an emerging researcher in financial accounting and capital market policy, focusing on the role of government-guided funds in fostering long-term investment behavior. Her work integrates empirical methods with institutional analysis to examine patient capital formation in China’s Growth Enterprise Market. She has published in the International Review of Financial Analysis, contributing evidence on how policy-oriented capital shapes firm governance, productivity, and market power. Her research interests include financial accounting theory, capital allocation efficiency, agency costs, and innovation–finance interactions. She is actively developing projects on policy finance, firm performance, and sustainable capital markets. Her ongoing agenda emphasizes robust econometric design and cross-sectional heterogeneity to inform evidence-based financial regulation and supports prudent policy formulation for emerging markets globally.

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How government-guided funds cultivate and expand patient capital in China’s GEM market?

– International Review of Financial AnalysisThis link is disabled., 2026

Jiaxin Liu | Management | Research Excellence Award

Ms. Jiaxin Liu | Management | Research Excellence Award

Heilongjiang Bayi Agricultural University | China

Ms. Jiaxin Liu is a researcher in financial accounting and capital market policy, with a focus on government-guided funds and patient capital formation. Her peer-reviewed article in the International Review of Financial Analysis examines how government-guided funds influence long-term capital allocation in China’s Growth Enterprise Market. Her research integrates empirical financial analysis with policy evaluation, emphasizing corporate governance, agency costs, and productivity effects. She has participated in multiple regional social science research projects and contributes to evidence-based policy research in emerging financial markets. Her work highlights the role of public financial instruments in fostering sustainable, innovation-oriented economic growth.

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