Operations management has the tradition of coming from and going back to real-life applications. It deals with the management of the process of matching supply with demand. The emerging business process in a sharing economy or an innovative marketplace calls for active management from the operational perspective. We take a neoclassical perspective by drawing inspiration from the classic models in operations management and economics.

Consumers regard product delivery as an important service component that influences their shopping decisions on online retail platforms. Delivering products to customers in a timely and reliable manner enhances customer experience and companies' profitability. In this research, we explore the extent to which customers value a high-quality delivery experience when shopping online.

This paper investigates the effects of reward redemption hurdles in customer reward programs. Our research context is ``buy X, get one free'' (BXGO) reward programs, which incorporate two common redemption hurdles: a redemption threshold (X purchases are required for a free product) and an expiry policy (unused reward points are lost after T periods of inactivity). Our analysis leads to the following results.

報名方法 透過AIMS網上登記 1. 使用你的EID及密碼登入AIMS 2. 選擇Student Services 3. 選擇Central Repository on Student Development Activities (CRESDA) →Available Student Development Activities，並按螢幕上的指示進行。 查詢 3442 6582 / lbsandy@cityu.edu.hk

報名方法 透過AIMS網上登記 1. 使用你的EID及密碼登入AIMS 2. 選擇Student Services 3. 選擇Central Repository on Student Development Activities (CRESDA) →Available Student Development Activities，並按螢幕上的指示進行。 查詢 3442 6582 / lbsandy@cityu.edu.hk

報名方法 透過AIMS網上登記 1. 使用你的EID及密碼登入AIMS 2. 選擇Student Services 3. 選擇Central Repository on Student Development Activities (CRESDA) →Available Student Development Activities，並按螢幕上的指示進行。 查詢 3442 6582 / lbsandy@cityu.edu.hk

報名方法 透過AIMS網上登記 1. 使用你的EID及密碼登入AIMS 2. 選擇Student Services 3. 選擇Central Repository on Student Development Activities (CRESDA) →Available Student Development Activities，並按螢幕上的指示進行。 查詢 3442 6582 / lbsandy@cityu.edu.hk

The United States educational policy requires that K-12 students participate in annual standardized tests. As a result, school districts that have traditionally utilized ongoing “formative" assessments of student progress, are increasingly relying on additional, costly “interim" assessments. In addition, some districts are experimenting with merit-based incentives that tie teachers' bonuses to student performance on state tests. We examine the relationship between information on student performance and monetary incentives for teachers using a two-period principal-agent model.

A wide range of operations problems are built on an underlying probabilistic model. However, estimation error always exists when learning from these models, which can lead to misleading decision-making. Moreover, these models are inherently mis-specified to a certain degree, which calls for robust learning and policies for these operations problems. In this talk, we will discuss robust machine learning and its applications to operations problems.