OPIM professor Jing Peng, a prolific researcher and champion of students in the Ph.D. program, has received a prestigious award, recognizing him as a promising young scholar who is likely to make outstanding contributions to his field.
Peng was one of only five academics selected for the Information Systems Society’s Gordon B. Davis Young Scholar Award for 2022. The award is presented to pre-tenure scholars who have completed quality research and who are on a path towards making outstanding intellectual contributions to the information systems discipline.
“With his competence and hard work, Jing has built an impressive research profile in a short period of time,” said professor Cuihong Li, OPIM department head. “He uses a variety of methodologies to study emerging issues with innovative technology applications, especially online platforms in various industries. His research discovers new insights on business phenomena as well as develops novel methodological tools for the study.”
“This award testifies to his outstanding intellectual contribution to the academic field as a young scholar, but he has made a tremendous contribution to the department as well, especially to the Ph.D. program,” she said. “He is closely involved in Ph.D. activities, having advised several students. His new Econometrics seminar course provides solid training to Ph.D. students on this methodology.”
Peng joined UConn in 2016 after earning a Ph.D. in operations, information, and decisions from the Wharton School at the University of Pennsylvania. He also has a master of engineering degree in computer applied technology from the Chinese Academy of Sciences in Beijing, and a bachelor’s degree in applied physics from Xi-an Jiaotong University in China. His research interests include: e-commerce, social media, digital health, and statistical methodology.
Peng has four articles pending in prestigious industry publications, including one forthcoming in MIS Quarterly which examines the differential impacts of view-also-view and purchase-also-purchase recommendations on e-commerce platforms. He and his colleague, UConn professor Chen Liang, found that view-also-view is more effective in increasing the views of expensive products, whereas purchase-also-purchase is more effective in increasing the sales of more inexpensive products. Their findings suggest that e-commerce platforms may benefit from employing different recommendation strategies for different products.
“This young-scholar award has been a boost to my work and has encouraged me to keep going and hopefully increase the impact of my research,” Peng said. “I really have to extend my thanks to my UConn colleagues who support me in everything I do.”