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Morten Hansen is involved in research which examines how knowledge residing in different units in a company can be leveraged to improve performance...
Martin Sorrell has used WPP to acquire a large portfolio of marketing service firms including J. Walter Thompson and Ogilvy & Mather. How did he make...
- 2021
- Working Paper
T-Shaped Managers—One Size Does Not Fit All: Exploratory Study from the Military
By: Hise O. Gibson
People are an organization’s most important resource. Managers who are collaborative and innovative ensure that organizations remain competitive. This type of manager has been referred to as a T-shaped manager. “T” given that the vertical portion represents the depth...
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- 2021
- Working Paper
Financial Innovation in the 21st Century: Evidence from U.S. Patents
By: Josh Lerner, Amit Seru, Nick Short and Yuan Sun
We develop a unique dataset of 24 thousand U.S. finance patents granted over the last two decades to explore the evolution and production of financial innovation. We use machine learning to identify the financial patents and extensively audit the results to ensure...
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- 2021
- Working Paper
Currency Hedging: Managing Cash Flow Exposure
By: Laura Alfaro, Maurici Mauricio and Liliana Varela
Foreign currency derivative markets are among the largest in the world, yet their role in emerging markets is relatively understudied. We study firms' currency risk exposure and their hedging choices by employing a unique dataset covering the universe of FX derivatives...
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- June 2021
- Article
Engineering Serendipity: When Does Knowledge Sharing Lead to Knowledge Production?
By: Jacqueline N. Lane, Ina Ganguli, Patrick Gaule, Eva C. Guinan and Karim R. Lakhani
We investigate how knowledge similarity between two individuals is systematically related to the likelihood that a serendipitous encounter results in knowledge production. We conduct a natural field experiment at a medical research symposium, where we exogenously...
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- May 2021
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
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Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
Digital Marketing;
E-commerce;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Predictive Analytics;
App Development;
＂Marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Data and Data Sets;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Online Advertising;
Online Technology;
Mobile Technology;
Apparel and Accessories Industry;
Apparel and Accessories Industry;
Apparel and Accessories Industry;
Apparel and Accessories Industry;
United States
- 2021
- Working Paper
Going by the Book: Valuation Ratios and Stock Returns
By: Ki-Soon Choi, Eric So and Charles C.Y. Wang
We study the use of firms’ book-to-market ratios (B/M) in value investing and its implications for comovements in firms’ stock returns and trading volumes. We show B/M has become increasingly detached from common alternative valuation ratios over time while also...
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- May 2021
- Article
Making Doctors Effective Managers and Leaders: A Matter of Health and Well-Being
By: Lisa Rotenstein, Robert S. Huckman and Christine K. Cassel
The COVID-19 crisis has forced physicians to make daily decisions that require knowledge and skills they did not acquire as part of their biomedical training. Physicians are being called upon to be both managers—able to set processes and structures—and leaders—capable...
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- 2020
- Working Paper
Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective
By: Srikant Datar, Apurv Jain, Charles C.Y. Wang and Siyu Zhang
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the...
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- 2021
- Article
Fair Influence Maximization: A Welfare Optimization Approach
By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed...
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- April–May 2021
- Article
The Effect of Retaliation Costs on Employee Whistleblowing
By: Jonas Heese and Gerardo Pérez Cavazos
We use large increases in unemployment insurance (UI) benefits to study the effects of expected retaliation costs on employee whistleblowing. Increases in UI benefits reduce the costs that arise from a job loss, one of the costliest forms of retaliation. We find that...
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- 2021
- Working Paper
Working from Home during COVID-19: Evidence from Time-Use Studies
By: Thomaz Teodorovicz, Raffaella Sadun, Andrew L. Kun and Orit Shaer
We assess how the sudden and widespread shift to working from home during the pandemic impacted how knowledge workers allocate time throughout their working day. We analyzed the results from an online time-use survey that collected data on 1,192 knowledge workers in...
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Keywords:
Time-use;
COVID;
Knowledge Workers;
Working-from-home;
Managers;
Health Pandemics;
Time Management
- March 2021
- Article
Experimenting During the Shift to Virtual Team Work: Learnings from How Teams Adapted Their Activities During the COVID-19 Pandemic
Past research has focused on understanding the characteristics of work that are fully virtual or fully collocated. The present study seeks to expand our understanding of team work by studying knowledge workers' experiences as they were suddenly forced to transition to...
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- March 2021
- Article
Increasing the Level of Abstraction as a Strategy for Accelerating the Adoption of Complex Technologies
By: Willy C. Shih
Many new technologies are complex and embody high levels of technical sophistication, and applying them should require significant knowledge and experience. Yet, the rapid adoption and incorporation of these technologies into other innovations seems inconsistent with...
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- February 2021
- Background Note
Jobs to Be Done: A Toolbox
By: Derek C. M. van Bever, Bob Moesta, Iuliana Mogosanu, Shaye Roseman and Katie Zandbergen
The Jobs to Be Done methodology is both a theory and a practical approach for understanding customer behavior and why people make the choices they make. Many practitioners, whether they work for startups or incumbent businesses, find Jobs to Be Done useful because it...
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- 2020
- Working Paper
From Online Content to Offline Results: Effects of a Best Practices Initiative on an Enterprise Social Network
By: Shelley Xin Li and Tatiana Sandino
We examine the effects of a best practices initiative on an enterprise social network (ESN) with a natural field experiment in a large grocery store chain. Our results do not show an immediate improvement in sales, but do show 3.67-percent higher sales for the...
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- 2021
- Working Paper
Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field
Identifying high-growth microentrepreneurs in low-income countries remains a challenge due to a scarcity of verifiable information. With a cash grant experiment in India we demonstrate that community knowledge can help target high-growth microentrepreneurs; while the...
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- 2021
- Working Paper
The World Management Survey at 18: Lessons and the Way Forward
By: Daniela Scur, Raffaella Sadun, John Van Reenen, Renata Lemos and Nicholas Bloom
Understanding how differences in management “best practices” affect organizational outcomes has been a focus of both theoretical and empirical work in the fields of management, sociology, economics and public policy. The World Management Survey (WMS) project was born...
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- February 2021
- Article
Trust and Disintermediation: Evidence from an Online Freelance Marketplace
By: Grace Gu and Feng Zhu
As an intermediary improves trust between the two sides of its market to facilitate matching and transactions, it faces an increased risk of disintermediation: with sufficient trust, the two sides may circumvent the intermediary to avoid the intermediary’s fees. In...
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- January 2021
- Case
Anodot: Autonomous Business Monitoring
By: Antonio Moreno and Danielle Golan
Autonomous business monitoring platform Anodot leveraged machine learning to provide real-time alerts regarding business anomalies. Anodot’s solution was used in various industries in order to primarily monitor business health, such as revenue and payments, product...
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- January 2021
- Teaching Note
The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (A) and (B)
This case describes the experiences of Michael Sanders—the Chief Executive of the What Works Center for Children’s Social Care—as he led the design and implementation of a program of research aimed at improving the social care system in the United Kingdom (UK) at the...
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