Skip to main content
Official Logo of Columbia Business School
Academics
  • Visit Academics
  • Degree Programs
  • Admissions
  • Tuition & Financial Aid
  • Campus Life
  • Career Management
Faculty & Research
  • Visit Faculty & Research
  • Academic Divisions
  • Search the Directory
  • Research
  • Faculty Resources
  • Teaching Excellence
Executive Education
  • Visit Executive Education
  • For Organizations
  • For Individuals
  • Program Finder
  • Online Programs
  • Certificates
About Us
  • Visit About Us
  • CBS Directory
  • Events Calendar
  • Leadership
  • Our History
  • The CBS Experience
  • Newsroom
Alumni
  • Visit Alumni
  • Update Your Information
  • Lifetime Network
  • Alumni Benefits
  • Alumni Career Management
  • Women's Circle
  • Alumni Clubs
Insights
  • Visit Insights
  • Digital Future
  • Climate
  • Business & Society
  • Entrepreneurship
  • 21st Century Finance
  • Magazine
CBS Landing Image
Faculty & Research
  • Academic Divisions
  • Search the Faculty
  • Research
  • Faculty Resources
  • News
  • More 

Strategy

See the latest research, articles and faculty on the Strategy Area of Expertise at Columbia Business School.

Jump to main content

Latest on Strategy

No articles have been found by those filters.

Pagination

  • First page 1
  • Ellipsis …
  • Page 2
  • Page 3
  • Page 4
  • Page 5
  • Page 6
  • Page 7
  • Page 8
  • Page 9
  • Current page 10

Strategy Faculty

CBS Faculty Research on Strategy

Algorithmic Social Engineering

Authors
Bo Cowgill and M. Stevenson
Date
Forthcoming
Format
Newspaper/Magazine Article
Publication
American Economic Association Papers and Proceedings

We examine the microeconomics of using algorithms to nudge decision-makers towards particular social outcomes. We refer to this as "algorithmic social engineering." In this article, we apply classic strategic communication models to this strategy. Manipulating predictions to express policy preferences strips the predictions of informational content and can lead decision-makers to ignore them. When social problems stem from decision-makers’ objectives (rather than their information sets), algorithmic social engineering exhibits clear limitations.

Read More about Algorithmic Social Engineering

Covid Incidence Rates in Targeted Zipcodes of NYC

Authors
Awi Federgruen
Date
January 1, 2020
Format
Working Paper
Read More about Covid Incidence Rates in Targeted Zipcodes of NYC

Setting Strategy at S Group: Finland's Largest Retailer Anticipates Amazon's Arrival

Authors
Wouter Dessein
Date
December 17, 2019
Format
Case Study
Publisher
CaseWorks

Amazon's entry into Finland had been expected for years by S Group, Finland's largest retailer. Now that the company's arrival in their home market was imminent, S Group needed to decide quickly on the best strategy for survival and the optimal path to future growth. The company's executive board had several options: staying focused on the Finnish market, expanding into global markets, or tapping their world-class data and logistics expertise to forge another path.

Read More about Setting Strategy at S Group: Finland's Largest Retailer Anticipates Amazon's Arrival

Next-Generation Regulation for Next-Generation TV

Authors
Eli Noam
Date
December 3, 2019
Format
Journal Article
Journal
IIC@50, IIC - The Last 50, and the Next

The Emerging Video Cloud System

Few questions are fraught with more long-term implications than the way we shape our communications system. If the medium is indeed the message, and if these messages influence people and institutions, then tomorrow’s media, and today’s media policies, will govern future society, culture, and economy.

Read More about Next-Generation Regulation for Next-Generation TV

Prospective Gain-Loss Utility: Ordered versus Separated Comparison

Authors
Michaela Pagel
Date
December 1, 2019
Format
Journal Article
Journal
Journal of Economic Behavior & Organization

Koszegi and Rabin (2006, 2007) develop a model of expectations-based reference-dependent preferences, in which the agent experiences prospect-theory inspired "gain-loss utility" by comparing his actual consumption to all his previously expected consumption outcomes. Koszegi and Rabin (2009) generalize the static model to a dynamic setting by assuming that the agent experiences both contemporaneous gain-loss utility over present consumption and prospective gain-loss utility over changes in expectations about future consumption.

Read More about Prospective Gain-Loss Utility: Ordered versus Separated Comparison

Data and the Aggregate Economy

Authors
Cindy Chung and Laura Veldkamp
Date
Forthcoming
Format
Journal Article
Journal
Journal of Economic Literature

Over the past decade, data has transformed everyday life. While it has changed the way people shop and businesses operate (Goldfarb and Tucker, 2019), it has only just begun to permeate economists thinking about the aggregate economy. In the early twentieth century, economists like Schultz (1943) analyzed agrarian economies and land-use issues. As agricultural productivity improved, production shifted more to manufacturing. Modern macroeconomics adapted with models featuring capital and labor, markets for goods, and equilibrium wages (Solow, 1956).

Read More about Data and the Aggregate Economy

The Pleasure of Assessing and Expressing Our Likes and Dislikes

Authors
Daniel He, Shiri Melumad, and Michel Tuan Pham
Date
October 1, 2019
Format
Journal Article
Journal
Journal of Consumer Research

Although consumer behavior theory has traditionally regarded evaluations as instrumental to consumer choice, in reality consumers often assess and express what they like and dislike even when there is no decision at stake. Why are consumers so eager to express their evaluations when there is no ostensible purpose for doing so? In this research, we advance the thesis that this is because consumers derive an inherent pleasure from assessing and expressing their likes and dislikes.

Read More about The Pleasure of Assessing and Expressing Our Likes and Dislikes

Time Variation in the News-Returns Relationship

Authors
Paul Glasserman, Fulin Li, and Harry Mamaysky
Date
July 16, 2019
Format
Working Paper

The well-documented underreaction of stock prices to news exhibits substantial time variation. Higher risk-bearing capacity of financial intermediaries, lower passive ownership of stocks, and more informative news increase price responses to contemporaneous news; surprisingly, they also increase price responses to lagged news (underreaction). Our findings are not driven by short-sale constraints, serial correlation in news flow, or improved information processing capacity. We discuss possible mechanisms based on investor behavior and strategic order-splitting by institutions.

Read More about Time Variation in the News-Returns Relationship

Household Debt Overhang and Unemployment

Authors
Jason Donaldson, Giorgia Piacentino, and Anjan Thakor
Date
June 1, 2019
Format
Journal Article
Journal
Journal of Finance

We use a labor-search model to explain why the worst employment slumps often follow expansions of household debt. We find that households protected by limited liability suffer from a household-debt-overhang problem that leads them to require high wages to work. Firms respond by posting high wages but few vacancies. This vacancy-posting effect implies that high household debt leads to high unemployment.

Read More about Household Debt Overhang and Unemployment

Pagination

  • First page 1
  • Ellipsis …
  • Page 9
  • Page 10
  • Page 11
  • Page 12
  • Current page 13
  • Page 14
  • Page 15
  • Page 16
  • Page 17
  • Ellipsis …
  • Last page 91

External CSS

Homepage Breadcrumb Block

Official Logo of Columbia Business School

Columbia University in the City of New York
665 West 130th Street, New York, NY 10027
Tel. 212-854-1100

Maps and Directions
    • Centers & Programs
    • Current Students
    • Corporate
    • Directory
    • Support Us
    • Recruiters & Partners
    • Faculty & Staff
    • Newsroom
    • Careers
    • Contact Us
    • Accessibility
    • Privacy & Policy Statements
Back to Top Upward arrow
TOP

© Columbia University

  • X
  • Instagram
  • Facebook
  • YouTube
  • LinkedIn
Back to top

Accessibility Tools

English French German Italian Spanish Japanese Russian Chinese (Simplified) Chinese (Traditional) Arabic Bengali