Zecong Ma

Dr. Zecong Ma is an esteemed Associate Professor of Marketing at St. Mary's University, where he brings a wealth of knowledge and expertise in the fields of social networks, big data analytics, and the marketing-finance interface. He embarked on his academic journey at Soochow University in China, where he earned his bachelor's degree in Mathematics. Driven by a passion for data and its applications in marketing, Dr. Ma pursued further studies at the State University of New York at Binghamton, where he completed both his master's degree in Mathematical Statistics and his Ph.D. in Marketing. Dr. Ma's research is characterized by its innovative use of methodologies such as structural equation modeling, machine learning, and field experiments. His work delves into a variety of marketing topics, aiming to bridge the gap between theoretical insights and practical applications. His scholarly contributions have been recognized in several prestigious academic journals, including the Journal of Research in Interactive Marketing, Journal of Business Research, Journal of Marketing Analytics, and Service Business. In 2022, Dr. Ma's outstanding research achievements were honored with the 1923 Commemorative Award, a testament to his significant contributions to the field of marketing. His research not only advances academic knowledge but also provides valuable insights for practitioners navigating the complexities of modern marketing landscapes. Beyond his research, Dr. Ma is a dedicated educator who is deeply committed to nurturing the intellectual growth of his students. He emphasizes the importance of critical thinking and creativity in his teaching, encouraging students to explore innovative solutions to marketing challenges. His dedication to teaching excellence has been recognized by his peers and students alike, reflecting his impact in the classroom. Dr. Ma continues to inspire both his colleagues and students with his passion for marketing and his commitment to advancing the field through rigorous research and engaging pedagogy. His work not only enriches the academic community but also contributes to the broader understanding of marketing dynamics in an increasingly data-driven world.