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Prof. Jason Choi produces top cited papers in a premier journal

2 Mar 2020

Research & Innovation

Prof. Jason Choi


We are proud to announce that Prof. Jason Choi has been recognized by Wiley-Blackwell Publishers for two top cited papers in the Production and Operations Management journal, which is a “UTD-listed FT50” premier business journal of the Production and Operations Management Society in the United States. Prof. Choi has received a certificate of achievement from Wiley-Blackwell in recognition of his work.

Wiley-Blackwell stated that “amongst articles published between January 2018 and December 2019, these two articles received some of the highest count of citations”, which means that the “articles generated immediate impact and helped to raise the visibility of Production and Operations Management”.

The first paper focuses on luxury fashion business operations with discussions on optimal advertising decisions. The Nobel prize winning mean-variance theory in finance is applied to generate managerial insights, which include scenarios and formats of optimal budget allocation plans for advertisements of luxury fashion that would take social influences between different consumer groups into account. One interesting implication is that luxury fashion brands should focus on a single consumer group (e.g., the fashion leader) if their goal is to maximize profits. Moreover, luxury fashion companies should not penalize their marketing managers if they are underspending their allocated budget because “over-advertising” can have negative effects in luxury fashion.

The second paper discusses how big data can be used in business operations by examining different techniques and strategies for big data analytics. Several big data architectures have been developed for companies to consider when they make plans to implement big data analytics.  Real world cases on big data applications, including those from fashion brands such as LV and Nike, are reported. The findings provide important guidance to companies, including fashion enterprises, on the proper use of big data analytics for their operations analyses.

These two top cited research papers (corresponding author*) are: Chiu, C.H., T.M. Choi*, X. Dai, B. Shen, J.H. Zheng. Optimal Advertising Budget Allocation in Luxury Fashion Markets with Social Influences: A Mean-Variance Analysis. Production and Operations Management, 27 (8), 1611-1629, 2018. Choi, T.M.*, S.W. Wallace, Y. Wang. Big Data Analytics in Operations Management. Production and Operations Management, 27 (10), 1868-1883, 2018.



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