Zhang W, Chen J (2019) Digging for Gold with Data Analytics at Chow Tai Fook. 

The Chow Tai Fook (CTF) case introduces an important challenge for data analytics in the jewelry or luxury product industry. It is difficult to provide an accurate demand prediction for a product at CTF. The reasons are mainly three-fold. First, the jewelry products are of high value and slow-moving, with mostly single digit sales numbers over a year. Second, the demand of a product partly depends on the availability of other products, due to customers’ demand substitution behavior. Lastly, there are 16 product categories with more than 15,000 distinct products offered by CTF, but each customer only chooses from a small subset of these products. In this case, traditional statistical methods such as linear regression or time series forecasting are not useful. I teach students how to use discrete choice models to tackle this challenge.

Tam ATL , Lam AWT, Chiu KNH, Chen LYT, Shen H, Zhang W (2018) Grab overtaking Uber: The David versus Goliath of Ride-Hailing App in Southeast Asia.

This case study on Grab, a locally founded ride-hailing startup in ASEAN, traces its development from its humble start to its victory of ousting Uber in 2018, uncovers the elements that contributed to Grab’s success, and provides inspiration on how Asian companies can possibly prevail over the more established Western counterparts despite of great adversity. The report compares the development of both Grab and Uber. Factors behind the success of Grab for each turning point are closely examined. Potential difficulties faced by Grab and recommendations to solve the problems are also identified. Grab manifests the spirit of “think global and act local” to succeed in the sharing economy by putting feet on the ground and resolving real “pain points” for consumers.