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Nikolay Osadchiy - Emory University, Goizueta Business School. Atlanta, GA, US

Nikolay Osadchiy Nikolay Osadchiy

Associate Professor of Information Systems & Operations Management | Emory University, Goizueta Business School

Atlanta, GA, UNITED STATES

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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.

Areas of Expertise (5)

Supply Chain Management

Revenue Management

Strategic Consumer Behavior

Empirical Methods in Operations Management

Operations-Finance Interface

Education (4)

New York University Leonard N. Stern School of Business: PhD, Operations Management 2010

New York University Leonard N. Stern School of Business: MPhil, Operations Management 2008

Moscow Institute of Physics and Technology: MS, Applied Mathematics and Physics 2002

Moscow Institute of Physics and Technology: BS, Applied Mathematics and Physics 2000

Media Appearances (3)

Customer Focused Retail Strategy

IEDP Developing Leaders  online

2016-07-28

Research from Nikolay Osadchiy, assistant professor of information systems and operations management at Goizueta Business School, highlights how the decision to purchase an item at regular price or wait for a possible markdown involves a multi-step mental process and that this process is predictable.

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Emory Professor Nikolay Osadchiy on Science Behind Retail Markdowns

The Dana Barrett Show (WAFS) (Wall Street Business Network)  radio

2016-07-14

During the first hour, we were joined by Nikolay Osadchiy, Assistant Professor at the Department of Information Systems and Operations Management of the Emory University Goizueta Business School. Professor Osadchiy explained the science behind retail markdowns and discussed consumer behavior.

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Teaching business in the digital age

Emory News Center  

2014-06-23

For example, faculty can leverage social media tools like Twitter, Google Docs, and public blogs to extend classroom discussion beyond physical walls. Nikolay Osadchiy, assistant professor of information systems and operations management, has launched just such a blog, providing an online forum for students to share opinions on current business news. "I have a two-fold approach to the use of technology in teaching," he explains. "The first part focuses on enhancing in-class learning. For example, I post spreadsheets for systems simulation and forecasting online before class so students can follow along on their laptops during class discussion. The second part, learning reinforcement, involves things like uploading video recordings that go over complicated concepts we've discussed in class. Students find them very helpful."...

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Articles (5)

Systematic Risk in Supply Chain Networks Management ScienceF

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...

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

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.

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Optimal Timing of Inventory Decisions with Price Uncertainty Social Science Research NetworkF

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 ...

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Sales forecasting with financial indicators and experts' input Production and Operations ManagementF

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.

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Selling with binding reservations in the presence of strategic consumers Management ScienceF

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...

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