Biography

Nikolay Osadchiy is an Associate Professor of Information Systems & Operations Management at Emory University's Goizueta Business School. His research interests are in supply chain management, where he studies how supply networks affect risk and operational performance, and in revenue management where he studies the impact of behavioral regularities on pricing. He has published in the leading academic journals including Management Science, Operations Research, and Production and Operations Management. He serves as a Senior Editor at Production and Operations Management.
Nikolay has taught an elective Supply Chain Management and the core Process and Systems Management courses in the BBA, MBA, and EvMBA programs, and an Operations Management seminar in the Doctoral program. He holds a PhD in Operations Management from the New York University Stern School of Business and MS in Applied Mathematics and Physics from Moscow Institute of Physics and Technology.

Education

  • PhD in Operations Management
    New York University Leonard N. Stern School of Business
  • MPhil in Operations Management
    New York University Leonard N. Stern School of Business
  • MS in Applied Mathematics and Physics
    Moscow Institute of Physics and Technology
  • BS in Applied Mathematics and Physics
    Moscow Institute of Physics and Technology

Systematic Risk in Supply Chain Networks

Management Science
2016

Industrial production output is generally correlated with the state of the economy. Nonetheless, during times of economic downturn, some industries take the biggest hit, whereas at times of economic boom they reap most benefits. To provide insight into this phenomenon, we map supply networks of industries and firms and investigate how the supply network structure mediates the effect of economy on industry or firm sales...

Behavioral Anomalies in Consumer Wait-or-Buy Decisions and Their Implications for Markdown Management

Operations Research
2015

A decision to buy an item at a regular price or wait for a possible markdown involves a multi-dimensional trade-off between the value of the item, the delay in getting it, the likelihood of getting it and the magnitude of the price discount. Such trade-offs are prone to behavioral anomalies by which human decision makers deviate from the discounted expected utility model.

Optimal Timing of Inventory Decisions with Price Uncertainty

Social Science Research Network
2015

What is the optimal time for a firm to buy inventory to sell in a product market in which the selling price and demand are random and their forecasts improve with time? What is the value of order timing flexibility to the firm? What lead times would a supplier see? To answer these questions, we develop a continuous time inventory model where demand and price are realized at the horizon date T, and the stocking decision can be made at any time in the interval [0, T] given progressively more accurate forecasts of price and demand and ...

Sales forecasting with financial indicators and experts' input

Production and Operations Management
2013

We present a method for forecasting sales using financial market information and test this method on annual data for US public retailers. Our method is motivated by the permanent income hypothesis in economics, which states that the amount of consumer spending and the mix of spending between discretionary and necessity items depend on the returns achieved on equity portfolios held by consumers.

Selling with binding reservations in the presence of strategic consumers

Management Science
2010

We analyze a revenue management problem in which a seller endowed with an initial inventory operates a selling with binding reservations scheme. Upon arrival, each consumer, trying to maximize his own utility, must decide either to buy at the full price and get the item immediately or to place a nonwithdrawable reservation at a discount price and wait until the end of the sales season where the leftover units are allocated according to first-come-first-serve priority...