Kaiyao Wu | Econometrics and Finance | Research Excellence Award

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Prof. Dr. Kaiyao Wu | Econometrics and Finance | Research Excellence Award 

Shanghai University of International Business and Economics | China

Prof. Kaiyao Wu is a leading scholar in sustainable development economics and global value chain analysis, currently serving as a Professor at the School of Statistics and Data Science at the Shanghai University of International Business and Economics (SUIBE). He also holds several influential academic and professional roles, including Expert Committee Member and Digitalization Committee Member of the China Society of Foreign Trade and Economic Statistics, Director of the Global WiseTrade Digitalization Research Institute at SUIBE, and Evaluation Expert for the National Social Science Fund of China. With a rich academic background and extensive research experience, Prof. Wu has established himself as a prominent contributor to the fields of economic digitalization, global value-chain restructuring, energy–environment linkages, and sustainable development metrics. He holds a Ph.D. in Industrial Economics (2011) and an MBA (2007) from Shanghai Jiao Tong University, following a B.S. in Statistics from Xiamen University in 1995. After completing his doctoral studies at the Antai College of Economics and Management, he served on the faculty of Shanghai Finance University (now Lixin University of Accounting and Finance) from 2011 to 2019, while simultaneously completing postdoctoral research at Shanghai Jiao Tong University between 2012 and 2015. His international exposure includes a visiting scholar appointment at Colorado State University from 2017 to 2018, enriching his global research perspective. Since joining SUIBE in 2019, he has continued to advance impactful research and teaching. Prof. Wu has published more than 40 peer-reviewed papers in high-quality international and Chinese journals, including Energy Economics, Journal of Cleaner Production, Emerging Markets Finance and Trade, Environmental Science and Pollution Research, and Statistical Research, one of China’s top statistical journals. His publications address critical global issues such as carbon neutrality along global value chains, ESG impacts on corporate performance, energy efficiency, and the role of demographic shifts in shaping international production networks. He is also the author of six monographs and two textbooks that support both academic inquiry and practical applications, including The Global Value Chain Network of the Economy-Energy-Environment (3E) Coupling: Measurement and Application (2025) and Enterprise Data Processing with SAS EG (2023). Prof. Wu has led and contributed to major national research projects funded by the National Social Science Foundation of China, focusing on industrial correlation networks, dual-circulation system measurement, and advanced input–output analysis. His expertise further extends to statistical methods, global value chain statistics, market research, and data processing, and he teaches widely in these areas. Recognized for his outstanding mentorship, he has received multiple national-level instructor awards, underscoring his dedication to cultivating high-quality talent in statistics and data science.

Profile: Orcid

Featured Publications

Duan, J., Li, Y., Shi, W., & Wu, K. (2025). Beyond the linear: Green technology innovation, moderators, and GVC upgrading. SSRN. https://doi.org/10.2139/ssrn.5333724

Xuan, S., Wu, K., & Deng, J. (2024). The effect of producer service agglomeration externalities on urban green innovation efficiency in China. Heliyon, 10, e25085. https://doi.org/10.1016/j.heliyon.2024.e25085

Wu, K., Chen, F., Anwar, S., & Liao, L. (2024). The impact of population aging on a country’s global value chain position: Unraveling the dynamics and mechanisms. Emerging Markets Finance and Trade, 60(?), 1–?. https://doi.org/10.1080/1540496X.2023.2300636
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Wu, K., Sun, C., Zhang, J., & Duan, J. (2023). Carbon neutrality along the global value chain: An international embedded carbon network analysis. Environmental Science and Pollution Research, 30, 122051–122065. https://doi.org/10.1007/s11356-023-30680-9

Du, L., Wei, M., & Wu, K. (2023). Information technology and firm’s green innovation: Evidence from China. Environmental Science and Pollution Research, 30, ???–???. https://doi.org/10.1007/s11356-023-29320-z
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Xuan, S., Wu, K., & Deng, J. (2023). The effect of producer service agglomeration externalities on urban green innovation efficiency in China. SSRN. https://doi.org/10.2139/ssrn.4502877

Dariusz Siudak | Economics | Editorial Board Member

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Assoc Prof Dr. Dariusz Siudak | Economics | Editorial Board Member 

Lodz University of Technology | Poland

Associate Professor Dr. Dariusz Siudak is a distinguished scholar in management sciences whose academic journey reflects continuous advancement in research excellence, interdisciplinary expertise, and leadership in the field of management and quality studies. He holds a Habilitated Doctor degree (2020) in social sciences with a specialization in management and quality studies, awarded by the Wroclaw University of Economics and Business. Earlier, he earned his Ph.D. in economic sciences (2012) with honors, focusing on enterprise value migration in the Polish capital market, under the supervision of Professor Krzysztof Jajuga. His academic foundation began at the Warsaw University of Technology, where he completed both his bachelor’s (2002) and master’s degrees (2006) with outstanding distinction, specializing in management, marketing, and enterprise functioning within integrated European markets. Throughout his career, Dr. Siudak has served in several academic roles, beginning as a specialist and assistant at the Warsaw University of Technology before joining the Lodz University of Technology, where he progressed from Assistant Professor to Associate Professor and currently serves as Head of the Division of Economics and Finance and a member of the Management and Quality Studies Discipline Council. Dr. Siudak’s research expertise focuses on the relational perspective of organizations, complex networks in financial markets, system dynamics, artificial intelligence, machine learning, and value-based management. His contributions integrate advanced analytical methods, network theory, and computational intelligence to study value migration, interlocking directorates, and corporate behavior within dynamic market structures. He has successfully led and contributed to several national research projects funded by the National Science Center and the Ministry of Science and Higher Education, emphasizing corporate value migration and network-driven firm behavior. His scholarly output includes highly cited publications in prestigious journals such as Expert Systems with Applications, PLOS ONE, Complexity, Physica A, and Social Network Analysis and Mining. These works demonstrate impactful contributions to understanding financial network structures, company value dynamics, and market behavior modeling using machine learning and network analytics. A recipient of numerous scientific awards, including multiple Rector’s Awards of the Lodz University of Technology, Dr. Siudak has been consistently recognized for his research excellence, innovative contributions, and organizational achievements. His accolades also include first place in the NetMiner 20th Event competition and nominations for the esteemed Beta Award in financial management. Additionally, he serves as an Academic Editor for PLoS One and PLOS Complex Systems and contributes to editorial boards supporting global scientific dissemination. With an aggregate impact factor exceeding 21, Dr. Siudak continues to be an influential figure in advancing modern management science through interdisciplinary methodologies and network-based research.

Profile: Orcid

Featured Publications

Siudak, D. (2025). The dependency structure of the financial multiplex network model: New evidence from the cross-correlation of idiosyncratic returns, volatility, and trading volume. PLOS ONE, Published April 18, 2025.

Siudak, D. (2025). Unsupervised learning modeling of the impact of Black Swan events on financial network reconfiguration: New insights from the COVID-19 outbreak and the Russia–Ukraine war. Physica A: Statistical Mechanics and its Applications, 130277.

Siudak, D. (2024). Black Swan events in the financial market: A network approach [Data set]. Mendeley Data.

Siudak, D. (2022). The effect of self-organizing map architecture based on the value migration network centrality measures on stock return: Evidence from the US market. PLOS ONE, 17(11).

Siudak, D. (2022). A network analysis of the value migration process on the financial market: The effect of value migration network structure on stock returns. Expert Systems with Applications, 195, 116129.

July Villalba | Management and Accounting | Industry Impact Award

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Prof. July Villalba | Management and Accounting | Industry Impact Award

Politecnico Grancolombiano | Colombia

Dr. July Alexandra Villalba Rodríguez, Ph.D. in Complex Thought (Multiversidad Real Edgar Morin, 2024), Magister in Innovation Management (Universidad Tecnológica de Bolívar, 2019), and Professional in International Business (Universidad Piloto de Colombia, 2014), has built a distinguished career as a program director, academic coordinator, and research-oriented educator. Her expertise bridges the domains of international business, innovation, and emerging technologies, fostering synergy between academia and industry. As a key academic partner in the Futurexpo Program, led by ProColombia, the Ministry of Commerce, Industry and Tourism, and the Politécnico Grancolombiano, Dr. Villalba has played a pivotal role in empowering Colombian entrepreneurs and business leaders to adopt digital innovation in their export strategies. Her national lectures on “The Use of Artificial Intelligence in Market Research” have reached over 3,200 participants, including entrepreneurs, students, and representatives from productive sectors across more than 33 municipalities in Colombia. This initiative aims to strengthen the export capabilities of micro, small, and medium-sized enterprises (MSMEs), democratizing access to cutting-edge technological tools. In conclusion, the Futurexpo initiative under Dr. Villalba’s academic leadership exemplifies research with measurable industrial, social, and economic impact. It not only enhances Colombia’s global competitiveness but also promotes the responsible and strategic use of artificial intelligence within local industries. This project stands as a testament to how innovation, education, and technology integration can collectively drive sustainable business growth and national progress.

Profiles: Orcid | Google Scholar

Featured Publications

Villalba Rodríguez, J. A. (2021). Ciudades globales e innovación: Partiendo del concepto a la realidad actual empresarial de Colombia. En Análisis de la transformación digital (Cap. 6).

Villalba Rodríguez, J. A. (2021). Del método científico a la innovación empresarial: Una reflexión compleja desde la transdisciplinariedad. Mundo FESC, (21). ISSN 2216-0388.

Villalba Rodríguez, J. A. (2021). Innovación: De la teoría a la realidad empresarial de Colombia. En Análisis de la transformación digital (Cap. 8).

Villalba Rodríguez, J. A. (2020). La responsabilidad social empresarial frente a los beneficios tributarios y la imagen corporativa. Apuntes Contables, (27).