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  • February 2021
  • Article

Testing the Waters: Behavior across Participant Pools

By: Erik Snowberg and Leeat Yariv
We leverage a large-scale incentivized survey eliciting behaviors from (almost) an entire university student population, a representative sample of the U.S. population, and Amazon Mechanical Turk (MTurk) to address concerns about the external validity of experiments... View Details
Keywords: Lab Selection; External Validity; Experiments; Behavior; Surveys; Analytics and Data Science; Analysis
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Snowberg, Erik, and Leeat Yariv. "Testing the Waters: Behavior across Participant Pools." American Economic Review 111, no. 2 (February 2021): 687–719.
  • August 2003
  • Case

Mercury Computer Systems: The Evolution from Integrated Technology to Open Standard

By: Rebecca Henderson and Nancy Confrey
For 20 years, Mercury Computer Systems has thrived, providing products and services that support ultrafast processing of real time data. Now Jay Bertelli, the CEO, faces a critical question: How can the firm compete once the standards on which its products are based... View Details
Keywords: Analytics and Data Science; Open Source Distribution; Strategic Planning; Competitive Strategy; Competitive Advantage; Information Technology; Information Technology Industry
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Henderson, Rebecca, and Nancy Confrey. "Mercury Computer Systems: The Evolution from Integrated Technology to Open Standard." Harvard Business School Case 704-424, August 2003.
  • 2025
  • Working Paper

Data-driven Technologies and Local Information Advantages in Small Business Lending

By: Wilbur Chen, Jung Koo Kang and Aditya Mohan
We investigate whether banks' adoption of data-driven technologies influences competitive dynamics in local small business lending by diminishing the information advantages traditionally held by local banks. Using local newspaper closures as an adverse shock to the... View Details
Keywords: Data-driven Technologies; Local Information Advantages; Local Banks; Relationship Lending; Small Business Loans; Small Business; Local Range; Financing and Loans; Banks and Banking; Analytics and Data Science; Banking Industry
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Chen, Wilbur, Jung Koo Kang, and Aditya Mohan. "Data-driven Technologies and Local Information Advantages in Small Business Lending." Harvard Business School Working Paper, No. 25-057, May 2025.
  • October 1994
  • Article

When Worlds Collide: The Implications of Panel Data-Based Choice Models for Consumer Behavior

By: R. S. Winer, R.E. Bucklin, J. A. Deighton, J. Erdem, P.S. Fader, J.J. Inman, H. Katahira, Katherine N. Lemon and A. Mitchell
Keywords: Analytics and Data Science; Consumer Behavior; Decision Choices and Conditions
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Winer, R. S., R.E. Bucklin, J. A. Deighton, J. Erdem, P.S. Fader, J.J. Inman, H. Katahira, Katherine N. Lemon, and A. Mitchell. "When Worlds Collide: The Implications of Panel Data-Based Choice Models for Consumer Behavior." Marketing Letters 5, no. 4 (October 1994).
  • 30 Nov 2018
  • What Do You Think?

What’s the Best Administrative Approach to Climate Change?

Summing Up: Should a 'Montreal Protocol' for Administering Global Warming Be Pursued? Climate change and how to manage it is a daunting subject. Nevertheless, several readers of this month’s column were willing to venture a model or two for administering a system... View Details
Keywords: by James Heskett; Energy
  • 2022
  • Article

Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations

By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
Keywords: Mathematical Methods; Decision Choices and Conditions; Analytics and Data Science
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Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
  • 2022
  • Article

Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations

By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it... View Details
Keywords: Prejudice and Bias; Mathematical Methods; Research; Analytics and Data Science
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Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
  • 19 Nov 2001
  • Research & Ideas

Alfred Chandler on the Electronic Century

commercial markets when in 1954 it applied an electronic device to its previously electrically driven punched-card data processors. Within less than a decade, its long-established punched-card functional capabilities in product... View Details
Keywords: by Alfred D. Chandler, Takashi Hikino & Andrew Von Nordenflycht; Computer; Consumer Products; Electronics; Manufacturing; Technology
  • 08 Oct 2014
  • Research & Ideas

Who Is the Chief Sustainability Officer?

officials used its science capabilities to develop components for solar panels and are now working on materials for cars that make them safer and more efficient. "Dow is using its science background to... View Details
Keywords: by Dina Gerdeman; Manufacturing
  • 13 Aug 2024
  • Research & Ideas

Why Companies Shouldn't Delay Software Updates—Even After CrowdStrike's Flaw

The CrowdStrike tech security outage in July revealed the true interdependence—and fragility—of global computer systems. Following several high-profile data breaches, policymakers are calling on businesses to do more to fix code... View Details
Keywords: by Jay Fitzgerald; Technology; Information Technology; Computer; Web Services
  • 1999
  • Article

Commercial Use of UPC Scanner Data: Industry and Academic Perspectives

By: Randolph E. Bucklin and Sunil Gupta
Keywords: Analytics and Data Science; Information Technology; Perspective; Education; Supply and Industry
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Bucklin, Randolph E., and Sunil Gupta. "Commercial Use of UPC Scanner Data: Industry and Academic Perspectives." Marketing Science 18, no. 3 (1999): 247–273.
  • May 2024
  • Article

Housing Policies and Energy Efficiency Spillovers in Low and Moderate Income Communities

By: Omar Isaac Asensio, Olga Churkina, Becky D. Rafter and Kira E O'Hare
Housing policies address the human dimensions of increasing urban density, but their energy and sustainability implications are hard to measure due to challenges with siloed civic data. This is especially critical when evaluating policies targeting low- and... View Details
Keywords: Energy Efficiency; Public Policy; Climate Change; Energy Conservation; Housing; Analytics and Data Science; Policy; Income; Environmental Sustainability; Real Estate Industry; United States
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Asensio, Omar Isaac, Olga Churkina, Becky D. Rafter, and Kira E O'Hare. "Housing Policies and Energy Efficiency Spillovers in Low and Moderate Income Communities." Nature Sustainability 7, no. 5 (May 2024): 590–601.
  • 01 Aug 2012
  • What Do You Think?

Should CEOs Worry About ‘Too Big to Succeed?’

have been preoccupied with the question of financial institutions becoming too big to fail. But recent data points have me asking whether the relevant question should be whether financial (and other organizations) bear a greater risk of... View Details
Keywords: by James Heskett; Manufacturing; Financial Services
  • 2022
  • Chapter

Measuring Compliance Risk and the Emergence of Analytics

By: Eugene F. Soltes
Corporate compliance manages a diverse set of regulatory and reputational concerns ranging from fraud to privacy to discrimination. However, effectively managing such risks has often been hampered by a lack of adequate information about when, where, and why misconduct... View Details
Keywords: Compliance; Risk; Analytics; Governance Compliance; Governing Rules, Regulations, and Reforms; Risk Management; Analytics and Data Science
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Soltes, Eugene F. "Measuring Compliance Risk and the Emergence of Analytics." Chap. 8 in Measuring Compliance: Assessing Corporate Crime and Misconduct Prevention, edited by Melissa Rorie and Benjamin van Rooij, 137–152. Cambridge University Press, 2022.
  • 2014
  • Working Paper

Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches

By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR web-site, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details
Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Analytics and Data Science; Internet and the Web; Mathematical Methods; Corporate Finance
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Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Harvard Business School Working Paper, No. 13-048, November 2012. (Revised September 2013, March 2014, June 2014, July 2014.)
  • 12 Sep 2006
  • First Look

First Look: September 12, 2006

Gender Difference in Patenting in the Academic Life Sciences Authors:Waverly W. Ding, Fiona Murray, and Toby E. Stuart Periodical:Science 313 (August 2006): 665-667 Abstract We analyzed longitudinal data on... View Details
Keywords: Sean Silverthorne
  • 03 Dec 2018
  • Research & Ideas

How Companies Can Increase Market Rewards for Sustainability Efforts

flavijus For the first time, a link has been drawn between public sentiment about a company’s sustainability practices and how that company is valued in the market. The results are important both for investors searching for under-valued, socially responsible companies,... View Details
Keywords: by Rachel Layne
  • April 1996 (Revised June 1996)
  • Background Note

Cleveland Turnaround (C), The: Facts and Figures

By: James E. Austin and Jaan Elias
Traces the Cleveland community's efforts to move the city from economic, social, and political crisis in the late 1970s into revitalization and progress in the 1980s and 1990s. Special attention is given to the role of business leaders and the public-private... View Details
Keywords: Leading Change; Analytics and Data Science; Economic Growth; Business and Community Relations; Cleveland
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Austin, James E., and Jaan Elias. "Cleveland Turnaround (C), The: Facts and Figures." Harvard Business School Background Note 796-153, April 1996. (Revised June 1996.)
  • 17 Sep 2024
  • HBS Case

The Climate Targets Leaders Need to Know as Regulations Loom

quite comprehensive. They include not just GHGs, but other environmental resources like water requirements and other pollutants you might care about as well,” Toffel says. The researchers outline how some software programs and data work... View Details
Keywords: by Rachel Layne
  • 20 Mar 2007
  • First Look

First Look: March 20, 2007

model to establish these interrelationships at a firm level. Using publicly available financial data we estimate the six causal effects among sales, inventory, and gross margin. Our results show that sales, inventory, and gross margin are... View Details
Keywords: Martha Lagace
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