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  • 23 Nov 2021
  • Book

What It Takes to Build an Organizational Culture That Wins

difficult. Success may validate the rightness of the culture—until it doesn’t. But that success is relatively short for organizations on track A in a competitive environment that is changing faster and faster, much too fast for any change... View Details
Keywords: by Avery Forman
  • 03 Oct 2023
  • Research Event

Build the Life You Want: Arthur Brooks and Oprah Winfrey Share Happiness Tips

reflection of that service. So I have validated you, which is one of the most important lessons I learned in 25 years of The Oprah Show is that everybody is looking to be validated. Brooks: That's for sure. Winfrey: So, it's not just... View Details
Keywords: by HBS Staff
  • Research Summary

Overview

ECONOMICS OF THE ADVERTISING AND MARKETING SERVICEC INDUSTRY

Professor Silk’s recent research has been focused on the economics of the advertising and marketing services industry. He has conducted econometric studies of the effects of scale and scope on the... View Details

  • April 2024
  • Article

A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification

By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
Keywords: Health Disorders; Health Testing and Trials; AI and Machine Learning; Health Industry
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Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.
  • 20 Sep 2017
  • Research & Ideas

The Three Types of Leaders Who Create Radical Change

combination of communicating, organizing, and evaluating. Agitators need to communicate the necessity of the social change movement; innovators need to communicate the validity of their proposed solution; and orchestrators must be able to... View Details
Keywords: by Carmen Nobel
  • March 2024
  • Article

Investigation of Divergent Thinking among Surgeons and Surgeon Trainees in Canada (IDEAS): A Mixed-methods Study

By: Alex Thabane, Tyler McKechnie, Vikram Arora, Goran Calic, Jason W Busse, Ranil Sonnadara and Mohit Bhandari
Objective: To assess the creative potential of surgeons and surgeon trainees, as measured by divergent thinking. The secondary objectives were to identify factors associated with divergent thinking, assess confidence in creative problem-solving and the perceived effect... View Details
Keywords: Creativity; Cognition and Thinking; Surveys; Health Industry
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Thabane, Alex, Tyler McKechnie, Vikram Arora, Goran Calic, Jason W Busse, Ranil Sonnadara, and Mohit Bhandari. "Investigation of Divergent Thinking among Surgeons and Surgeon Trainees in Canada (IDEAS): A Mixed-methods Study." BMJ Open 14, no. 3 (March 2024).
  • 2024
  • Working Paper

Scaling Core Earnings Measurement with Large Language Models

By: Matthew Shaffer and Charles CY Wang
We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
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Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
  • September 2011
  • Article

Political Instability: Effects on Financial Development, Roots in the Severity of Economic Inequality

By: Mark J. Roe and Jordan I. Siegel
We here bring forward strong evidence that political instability impedes financial development, with its variation a primary determinant of differences in financial development around the world. As such, it needs to be added to the short list of major determinants of... View Details
Keywords: Financial Development; Political Instability; Government and Politics; Finance; Growth and Development; Economics; Equality and Inequality
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Roe, Mark J., and Jordan I. Siegel. "Political Instability: Effects on Financial Development, Roots in the Severity of Economic Inequality." Journal of Comparative Economics 39, no. 3 (September 2011): 279–309. (We here bring forward strong evidence that political instability impedes financial development, with its variation a primary determinant of differences in financial development around the world. As such, it needs to be added to the short list of major determinants of financial development. First, structural conditions first postulated by Engerman and Sokoloff (2002) as generating long-term inequality are shown here empirically to be exogenous determinants of political instability. Second, that exogenously-determined political instability in turn holds back financial development, even when we control for factors prominent in the last decade's cross-country studies of financial development. The findings indicate that inequality-perpetuating conditions that result in political instability are fundamental roadblocks for international organizations like the World Bank that seek to promote financial development. The evidence here includes country fixed effect regressions and an instrumental model inspired by Engerman and Sokoloff's (2002) work, which to our knowledge has not yet been used in finance and which is consistent with current tests as valid instruments. Four conventional measures of national political instability — Alesina and Perotti's (1996) well-known index of instability, a subsequent index derived from Banks' (2005) work, and two indices of managerial perceptions of nation-by-nation political instability — persistently predict a wide range of national financial development outcomes for recent decades. Political instability's significance is time consistent in cross-sectional regressions back to the 1960's, the period when the key data becomes available, robust in both country fixed-effects and instrumental variable regressions, and consistent across multiple measures of instability and of financial development. Overall, the results indicate the existence of an important channel running from structural inequality to political instability, principally in nondemocratic settings, and then to financial backwardness. The robust significance of that channel extends existing work demonstrating the importance of political economy explanations for financial development and financial backwardness. It should help to better understand which policies will work for financial development, because political instability has causes, cures, and effects quite distinct from those of many of the key institutions most studied in the past decade as explaining financial backwardness.)
  • 01 Nov 2020
  • Research & Ideas

Good Leadership Is an Act of Kindness

cares about their well-being. Many realize that this needs to change. Practicing active, habitual kindness can transform the remote workplace and it can start today. A little reassurance, compassionate listening, a conscious effort to View Details
Keywords: by Boris Groysberg and Susan Seligson
  • 13 Mar 2023
  • Research & Ideas

What Would It Take to Unlock Microfinance's Full Potential?

livelihoods but also to do so in a manner that is profitable and therefore scalable. “We believe in these ideas, and we’re trying to validate them beyond what’s done by traditional academic papers.” Roth: The second product that we’re... View Details
Keywords: by Jen McFarland Flint; Financial Services
  • Research Summary

Health-care Applications

Active postmarketing drug surveillance.  There is substantial interest within the U.S. health community and among health policymakers in developing a surveillance system that scans public health databases in order to proactively detect potential drug safety... View Details

  • 23 Apr 2024
  • In Practice

Getting to Net Zero: The Climate Standards and Ecosystem the World Needs Now

With each month clocking record-breaking temperatures across the planet, this Earth Day reflected the renewed urgency of regulators and businesses to find climate-change solutions. The US Securities and Exchange Commission recently adopted new rules that will mandate... View Details
Keywords: by Rachel Layne
  • 13 Feb 2020
  • Book

Open Your Organization to Honest Conversations

develop a systemic plan for change that will realign the company with the new strategy and cultural values. “This isn’t a vote,” Beer emphasizes. “Leaders are still the ones making the decisions, but they’re getting valid and compelling... View Details
Keywords: by Dina Gerdeman
  • 06 Jun 2016
  • Research & Ideas

Skills and Behaviors that Make Entrepreneurs Successful

structure Significantly lower Although some of the factors—like comfort with uncertainty and the ability to identify opportunities—seemed like obvious markers for entrepreneurial success, the study built a statistically reliable and valid... View Details
Keywords: by HBS Working Knowledge
  • 14 Mar 2018
  • Research & Ideas

Feeling Stressed? Try Sniffing Your Romantic Partner's Shirt

might be as simple as tucking a loved one’s t-shirt into your suitcase. The study provides scientific validation for anyone who has taken comfort in a partner’s clothing. Case in point: Whillans, a native of Canada who is currently in a... View Details
Keywords: by Carmen Nobel
  • 2020
  • Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
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Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
  • 27 Jun 2016
  • Research & Ideas

These Management Practices, Like Certain Technologies, Boost Company Performance

fielded inquiries from companies all over the world eager to improve their management practices. “It’s validating when you get calls and emails from people in many different countries who want to survey their firms,” she says. Sadun hopes... View Details
Keywords: by Michael Blanding
  • 01 Oct 2007
  • Research & Ideas

Encouraging Dissent in Decision-Making

explained, is that such issues are deemed too threatening to organizational harmony or to individuals' career advancement. As a result, the validity of a principal U.S. rationale for the Vietnam War, the "domino theory," was... View Details
Keywords: by Garry Emmons
  • 04 Jun 2024
  • Research & Ideas

Navigating Consumer Data Privacy in an AI World

isn't really a valid excuse. Even small businesses need to make sure their data is secure and not left open to hacks. It’s just part of doing business responsibly these days. Instead of building their tech stack from scratch, small... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • 21 Mar 2018
  • Research & Ideas

Why Artificial Intelligence Isn't a Sure Thing to Increase Productivity

turned out to be crucial to students getting the right answer. “Without the advice, no one gets the silver bullet—it doesn’t matter if you use the Boolean or machine learning,” Choudhury says. “That’s a validation of human expertise of a... View Details
Keywords: by Michael Blanding; Technology; Information
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