Publications

SSRN

May 2024
Article

Production Complementarity and Information Transmission Across Industries

By: Charles M.C. Lee, Terrence Tianshuo Shi, Stephen Teng Sun and Ran Zhang

Economic theory suggests that production complementarity is an important driver of sectoral co-movements and business cycle fluctuations. We operationalize this concept using a measure of production complementarity proximity (COMPL) between any two companies. We show... View Details

Keywords: Financial Markets; Networks; Investment Return; Business Cycles

January 2016
Article

Incorporating Longitudinal Pediatric Patient-centered Outcome Measurement into the Clinical Workflow Using a Commercial Electronic Health Record: A Step Toward Increasing Value for the Patient

By: Kathleen Carberry, Zachary Landman, Michelle Xie, Thomas W. Feeley, John Henderson and Charles Fraser Jr.

Patient-centered outcomes measurement provides healthcare organizations with crucial information for increasing value for patients; however, organizations have struggled to obtain outcomes data from electronic health record (EHR) systems. This study describes how Texas... View Details

Keywords: Epic; Electronic Health Records; Outcomes; Value; Patient-Centered Outcomes Measurement; Value Creation; Information Technology; Health Care and Treatment; Customer Focus and Relationships; Health Industry; Texas

Find at Harvard

01 Sep 2010
News

Noted & Quoted

“If I had been leaving Harvard in 2010, this would be the area I would want to be going into.” — Sir Ronald Cohen (MBA ’69), a founder of the European venture capital industry, referring to his latest venture, Social Finance, a social... View Details

Keywords: Securities, Commodities, and Other Financial Investments; Finance; Hospitals; Health, Social Assistance

04 Dec 2012
First Look

First Look: December 4

PublicationsWhen Does a Platform Create Value by Limiting Choice? Authors:Ramon Casadesus-Masanell and Hanna Hałaburda Publication:Journal of Economics & Management Strategy (forthcoming) Abstract We present a theory for why it... View Details

Keywords: Carmen Nobel

July 2014 (Revised May 2015)
Case

Making Room for the Baby Boom: Senior Living

By: Charles F. Wu, Joseph Beyer and Arthur I. Segel

Tom Alperin's National Development has purchased a building site in affluent Wellesley, MA, and is in the process of deciding whether to build apartments, a combination of independent living and assisted living units for seniors, or perhaps even higher acuity... View Details

Keywords: Senior Living; Assisted Living; Independent Living; Property; Finance; Real Estate Industry; Boston; Massachusetts; United States

Educators

May 2024
Article

The Health Risks of Generative AI-Based Wellness Apps

By: Julian De Freitas and G. Cohen

Artifcial intelligence (AI)-enabled chatbots are increasingly being used to help people manage their mental health. Chatbots for mental health and particularly ‘wellness’ applications currently exist in a regulatory ‘gray area’. Indeed, most generative AI-powered... View Details

Keywords: AI and Machine Learning; Well-being; Governing Rules, Regulations, and Reforms; Applications and Software

01 Jun 2014
News

Research Brief: Capitol Gains

legislation's repercussions or figure out how to systematically capitalize on it." To further explain his model, Cohen cites this year's controversial farm bill, which passed in the Senate by a vote of 68 to... View Details

Keywords: Garry Emmons; Finance; Executive, Legislative, and Other General Government Support; Government

08 Mar 2016
First Look

March 8, 2016

approaches can be reconciled through the Lean Strategy process, which ensures that startups innovate in a disciplined fashion and make the most of their limited resources by knowing "what not to do." Deliberate strategy sets the... View Details

Keywords: Sean Silverthorne

07 Feb 2012
First Look

First Look: February 7

has been divided by both worldview and practice. Why, in the face of the common challenge of dependence on imported Russian gas, have national reactions to such vulnerability varied so dramatically across the continent? And why have a... View Details

Keywords: Sean Silverthorne

September 2024
Article

The Human Side of the Future of Work: Understanding the Role People Play in Shaping a Changing World

By: Jochen I. Menges, Lauren C. Howe, Erika Hall, Jon M. Jachimowicz, Sharon K. Parker, Riki Takeuchi, Abhijeet K. Vadera, Ashley Whillans and Susan K. Cohen

For as long as there has been work, there has been a “future of work,” through humans’ ingenuity and drive to get things done easier, faster, and better. With the industrial revolution, efforts to shape a better future of work were dominated by improvements in... View Details

Keywords: Change; Labor

2013
Chapter

Who Chooses Board Members?

By: Ali Akyol and Lauren Cohen

We exploit a recent regulation passed by the US Securities and Exchange Commission (SEC) to explore the nomination of board members to US publicly traded firms. In particular, we focus on firms’ use of executive search firms versus allowing internal members (often... View Details

Keywords: Boards; Boards Of Directors; Executive Search Firms; Governance; SEC Regulation; Governing and Advisory Boards; Management Succession; Executive Compensation

March–April 2023
Article

Pricing for Heterogeneous Products: Analytics for Ticket Reselling

By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis

Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details

Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry

2021
Working Paper

rTSR: Properties, Determinants, and Consequences of Benchmark Choice

By: Paul Ma, Jee-Eun Shin and Charles C.Y. Wang

We develop a measurement-error framework for assessing the quality of relative-performance metrics designed to filter out the systematic component of performance and analyze relative total shareholder return (rTSR)—the predominant metric market participants use to... View Details

Keywords: Relative TSR; Relative Performance Evaluation; Systematic Risk; Board Of Directors; Compensation Consultants; Style Effects; Executive Compensation; Performance Evaluation; Corporate Governance

SSRN

February 2025
Article

Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots

By: Julian De Freitas and I. Glenn Cohen

In the wake of recent advancements in generative AI, regulatory bodies are trying to keep pace. One key decision is whether to require app makers to disclose the use of generative AI-powered chatbots in their products. We suggest that some generative AI-based chatbots... View Details

Keywords: AI and Machine Learning; Governing Rules, Regulations, and Reforms; Applications and Software; Well-being

Forthcoming
Article

Calling All Issuers: The Market for Debt Monitoring

By: Huaizhi Chen, Lauren Cohen and Weiling Liu

95% of long-term municipal bonds have callable features, and yet we find new evidence of a substantial fraction of local governments exercising these valuable options sub-optimally, with significant delays – resulting in sizable losses. Using data from 2001 to 2019, we... View Details

Keywords: Bonds; Financial Institutions; Governing Rules, Regulations, and Reforms; Government Administration; Financing and Loans

Winter 2014
Article

The Art of Strategic Renewal

By: Andy Binns, J. Bruce Harreld, Charles A. O'Reilly and Michael L. Tushman

In recent years, we have seen well-established companies such as Kodak, Blockbuster, Nokia, and BlackBerry pushed to the brink by smart competitors and changes in their industries. In each case, there were opportunities to act before a crisis engulfed the organization.... View Details

Keywords: Organizational Change and Adaptation

Find at Harvard

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... View Details

Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science

SSRN