Chao Yin | Data Analysis | Research Excellence Award

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Dr. Chao Yin | Data Analysis | Research Excellence Award

Shandong Women’s University | China

Chao Yin is an Associate Professor of Marketing at the Faculty of Management, Shandong Women’s University, where she specializes in green development, low-carbon strategies, supermarket operations, and agricultural product logistics. She earned her Doctorate in Enterprise Management with a marketing focus from Beijing Jiaotong University, following a master’s degree from the Capital University of Economics and Business and a bachelor’s degree in marketing from Qingdao University. Before entering academia, she gained practical industry experience as a marketing manager at Qingdao AEON Dongtai Co., Ltd., which continues to inform her applied research approach. Her scholarly work appears in reputable journals, including Q1 and Q2 outlets, addressing themes such as logistics information systems, sustainable development performance, emissions trajectories, and corporate green innovation. She has also contributed to international symposiums with studies on resource integration and “Farming-Supermarket” supply-chain mechanisms. In the classroom, she teaches courses on marketing management and chain enterprise operations, integrating theory with practice to support student development. Recognized for her growing contributions to sustainability and operations research, her work aims to advance environmentally responsible management strategies and promote efficient, low-carbon business practices for future economic and societal benefit.

Profile : Scopus

Featured Publications

Yin, C., Zhang, M., Zhang, Y., & Wu, W. (2020). Business service network node optimization and resource integration based on the construction of logistics information systems. Information Systems and e-Business Management, 18, 723–746. (Q2)

Yin, C. Research on optimization of mixed distribution of chain supermarket based on resource integration. Management Review.

Yin, C. (2015). Research on the Key Issues of “Farming-Supermarket” Docking under the Background of “Internet Plus”. Proceedings of the 2nd International Symposium on Management, Innovation and Development (MID2015).

Yin, C., & Liu, P. (2025). Knowledge-driven green cognition: the impact of enterprise innovation in sustainable development performance. (Q2)

Yin, C., & Bo, Y. (2025). China’s emissions trajectory: Integrating resource management and energy transition strategies. (Q1)

Chulhwan Bang | Machine Learning and AI Applications | Best Researcher Award

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Dr. Chulhwan Bang | Machine Learning and AI Applications | Best Researcher Award

Georgia Southern University | United States

Dr. Chulhwan C. Bang is an Assistant Professor of Business Analytics and Information Systems at Georgia Southern University. He earned his Ph.D. in Business Management, specializing in Management Science and Systems with a minor in Communication, from the University at Buffalo, SUNY. With over a decade of academic and professional experience, Dr. Bang has taught a wide range of courses in business programming, information systems, and data analytics, integrating tools such as Python, SAP, Power BI, and Tableau. His research interests include big data analytics, cryptocurrency forecasting, social media analysis, deep learning, and sports analytics. He has published in top-tier journals such as Information Systems Frontiers and International Journal of Information Management and actively collaborates with students on applied data-driven projects. Prior to academia, he worked in the IT industry as a system architect and software developer, contributing to large-scale ERP and BI projects in Korea and the U.S. Dr. Bang has received multiple honors, including the Outstanding Research Award and finalist recognition for accelerator research grants. His work bridges theory and practice, fostering innovation in analytics education and advancing interdisciplinary research in business intelligence and emerging technologies.

Profile : Orcid

Featured Publications

Lee, Y. S., & Bang, C. C. (2022). Framework for the Classification of Imbalanced Structured Data Using Under-sampling and Convolutional Neural Network. Information Systems Frontiers.

Bang, C. C., Lee, J., & Rao, H. R. (2021). The Egyptian protest movement in the twittersphere: An investigation of dual sentiment pathways of communication. International Journal of Information Management.

Bang, C. C. (2020). Predicting Loyalty of Korean Mobile Applications: A Dual-Factor Approach. International Journal of Information and Communication Technology for Digital Convergence (IJICTDC).

Yu, J., Bang, C. C., & Oh, D.-Y. (2020). The Effect of Noncognitive Factors on Information Disclosure on Social Network Websites: Role of Habit and Affect. Southern Business & Economic Journal.

Kwon, K. H., Bang, C. C., Egnoto, M., & Rao, H. R. (2016). Social media rumors as improvised public opinion: semantic network analyses of Twitter discourses during Korean saber rattling 2013. Asian Journal of Communication.

Viken Kortian | Big Data Analytics | Best Researcher Award

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Assoc. Prof. Dr. Viken Kortian | Big Data Analytics | Best Researcher Award

Macquarie University | Australia

Assoc. Prof. Dr. Viken Kortian is an accomplished academic and researcher specializing in operations management, innovation, and entrepreneurship, with extensive expertise in business process management, strategy, and big data analytics. He holds a PhD in Management from Macquarie Graduate School of Management, where his doctoral research focused on organizational agility and firm performance in Australian SMEs. His academic foundation also includes a Master of Arts, an MBA, and a Bachelor of Chemical Engineering with honors. Dr. Kortian has built a distinguished career in higher education, currently serving as Associate Professor at Macquarie University’s School of Engineering, where he played a pivotal role in designing and leading the Master of Engineering Management program, one of the university’s largest postgraduate offerings. He has also contributed to Kaplan Business School, Macquarie Graduate School of Management, and the Australian Graduate School of Management through innovative course development in data analytics, quality management, and business excellence. His research interests span business excellence, operations management, artificial intelligence, and machine learning, with several conference presentations, publications, and a US patent to his credit. Recognized with multiple Vice Chancellor’s Awards for Teaching Excellence and other honors, Dr. Kortian is a dedicated educator, researcher, and thought leader shaping engineering management education in Australia.

Profile : Orcid 

Featured Publication

“Challenges and Issues in Implementing & Operationalising Big Data Analytics Capabilities in a major Australian Railway Organisation: A Case Study”