Publications

Publications

Filter Results: (386) Arrow Down

Show Results For

← Page 10 of 386 Results →
  • 09 Jan 2020
  • Book

Rethinking Business Strategy in the Age of AI

years." Companies are forecast to spend $98 billion on AI worldwide in 2023 compared to $38 billion in 2019. While the money may be flowing, few companies have figured out the best way to harness AI while navigating new challenges this... View Details
Keywords: by Dina Gerdeman
  • Web

Social Enterprise - Faculty & Research

strategically respond to government signals regarding appropriate corporate activity. We integrate institutional theory and research on corporate political strategy to develop a political dependence model that explains (a) how different... View Details
  • 23 Jun 2009
  • First Look

First Look: June 23

attention to the returns of firms that do not issue at all, suggesting that issuance is partly an attempt to cater to broad time-varying patterns in characteristics mispricing. Our approach helps forecast returns to portfolios based on... View Details
Keywords: Martha Lagace
  • Forthcoming
  • Article

An AI Method to Score Celebrity Visual Potential from Human Faces

By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This paper suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured... View Details
Keywords: Personal Characteristics; AI and Machine Learning; Forecasting and Prediction; Marketing
Related
  • Web

Advisory Board - Entrepreneurship

entrepreneurship, branding, and innovation expertise. Bluemercury’s innovative retailing and human resource model has been the topic of numerous books, including Shopping: Why We Love it and How Retailers Can Create the Ultimate Customer... View Details
  • 2016
  • Working Paper

The Impact of Supplier Inventory Service Level on Retailer Demand

By: Nathan Craig, Nicole DeHoratius and Ananth Raman
To set inventory service levels, suppliers must understand how changes in inventory service level affect demand. We build on prior research, which uses analytical models and laboratory experiments to study the impact of a supplier's service level on demand from... View Details
Keywords: Customer Satisfaction; Forecasting and Prediction; Learning; Consumer Behavior; Service Delivery; Performance Expectations; Apparel and Accessories Industry; Service Industry
Related
  • 08 Feb 2011
  • First Look

First Look: Feb. 8

estimates. The goal of the framework is to focus the analysts' work on critical uncertainties and model a limited number of scenarios relevant to key investment debates. By outlining a bear, base, and a bull case, the analysts can present... View Details
Keywords: Sean Silverthorne
  • 01 Jun 2023
  • News

Curb Appeal

trash collection to snow removal. If the forecast is correct, DSNY will have to clear 5 to 6 inches from 6,500 miles of city streets—a task that involves fitting plows to 2,000 garbage trucks and salt spreaders while continuing to collect... View Details
Keywords: Alexander Gelfand; photography by Vance Jacobs; Justice, Public Order, and Safety Activities; Government
  • October 2017 (Revised April 2018)
  • Case

Improving Worker Safety in the Era of Machine Learning (A)

By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
Related
  • 12 Jul 2011
  • First Look

First Look: July 12

debt issuers deteriorates during credit booms, and that this deterioration forecasts low excess returns to corporate bondholders. The key insight is that changes in the pricing of credit risk disproportionately affect the financing costs... View Details
Keywords: Carmen Nobel
  • 13 Nov 2019
  • Research & Ideas

Don't Turn Your Marketing Function Over to AI Just Yet

factors that influence consumer behavior are so varied and complex, and the data that companies collect is so rich, just modeling how consumers search a single retail website is a monumental task. Each company’s data are so firm and... View Details
Keywords: by Kristen Senz
  • January 2010
  • Journal Article

A Choice Prediction Competition: Choices from Experience and from Description

By: Ido Erev, Eyal Ert, Alvin E. Roth, Ernan E. Haruvy, Stefan Herzog, Robin Hau, Ralph Hertwig, Terrence Steward, Robert West and Christian Lebiere
Erev, Ert, and Roth organized three choice prediction competitions focused on three related choice tasks: one-shot decisions from description (decisions under risk), one-shot decisions from experience, and repeated decisions from experience. Each competition was based... View Details
Keywords: Experience and Expertise; Decision Choices and Conditions; Forecasting and Prediction; Mathematical Methods; Risk and Uncertainty; Competition
Related
  • 14 Oct 2021
  • In Practice

Reunited and It Feels (Not) So Good: Tips for Managing a Rocky Return

widespread and the timing and nature of the end of the virus as we know it so uncertain that it is impossible to know what the parameters of such an end state. Business leaders should, instead, think in terms of a “next normal.” Their back-to-work policies should... View Details
Keywords: by Kristen Senz
  • Web

Finance & Investing - Business & Environment

Confronting Climate Change Finance & Investing Understanding risk, identifying opportunity, and managing investments in the context of climate change The global financial landscape is increasingly being shaped by factors associated with climate change––including View Details
  • 08 Jun 2010
  • First Look

First Look: June 8

to accomplish the following: mine your sales data to identify "homerun" products you're missing; reinvent your forecasting and pricing strategies; build end-to-end agility into your supply chain; establish incentives that align... View Details
Keywords: Martha Lagace
  • 2012
  • Working Paper

~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation

By: Matthew Weinzierl
Tagging is a free lunch in conventional optimal tax theory because it eases the classic tradeoff between efficiency and equality. But tagging is used in only limited ways in tax policy. I propose one explanation: conventional optimal tax theory has yet to capture the... View Details
Keywords: Forecasting and Prediction; Cost; Framework; Policy; Taxation; Analytics and Data Science; Performance Efficiency; United States
Related
  • 15 Jul 2019
  • Book

Many Executives Are Afraid of Finance. Here's How They Can Gain Confidence

and free cash flow. The emphasis on cash helps explain how firms have changed their supply chains and how working capital has become a significant financial benefit to major firms ranging from Apple to Walmart. Similarly, emphasizing cash can help explain the promise... View Details
Keywords: by Dina Gerdeman
  • Blog

Is AI Coming for Your Job?

may have additional knowledge or context that the AI doesn't (e.g. that the AI hasn't been trained on, propriety knowledge, a better understanding of the specific task at hand, etc.). Another risk with these generative AI models is that... View Details
  • 21 Feb 2012
  • First Look

First Look: Feb. 21

entrepreneurship. Then, to reconcile these divergent empirical findings, we develop a theoretical model that explains when user innovations are commercialized by users, by manufacturers, or not commercialized at all. At the core of our... View Details
Keywords: Sean Silverthorne
  • January 2010
  • Article

The Role of Experience in the Gambler's Fallacy

By: Greg Barron and Stephen Leider
Recent papers have demonstrated that the way people acquire information about a decision problem, by experience or by abstract description, can affect their behavior. We examined the role of experience over time in the emergence of the Gambler's Fallacy in binary... View Details
Keywords: Experience and Expertise; Decision Making; Forecasting and Prediction; Knowledge Acquisition; Outcome or Result; Game Theory; Prejudice and Bias
Related