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- January 2021 (Revised October 2024)
- Case
Aptiv PLC Board of Directors (A)
By: Lynn S. Paine and Will Hurwitz
Aptiv’s board must decide whether a joint venture with an auto maker is the right next step in the company’s efforts to develop and commercialize a production-ready autonomous driving system. While many commentators believed that Aptiv’s self-driving technologies had... View Details
Keywords: Automotive Industry; Bankruptcy Reorganization; Board Of Directors; Board Committees; Board Decisions; Board Dynamics; Corporate Boards; Innovation And Strategy; Legal Aspects Of Business; Spin Off; Strategic Alliances; Strategic Change; Strategic Evolution; Supplier Relationships; Technological Change; Corporate Governance; Governing and Advisory Boards; Innovation Strategy; Going Public; Joint Ventures; Leadership; Restructuring; Technological Innovation; Transformation; Auto Industry; Europe; United States
Paine, Lynn S., and Will Hurwitz. "Aptiv PLC Board of Directors (A)." Harvard Business School Case 321-050, January 2021. (Revised October 2024.)
- January 2021
- Article
Chain Stability in Trading Networks
By: John William Hatfield, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky and Alexander Westkamp
We show that in general trading networks with bilateral contracts, a suitably adapted chain stability concept (Ostrovsky, 2008) is equivalent to stability (Hatfield and Kominers, 2012; Hatfield et al., 2013) if all agents' preferences are fully substitutable and... View Details
Keywords: Matching; Trading Networks; Chain Stability; Stability; Competitive Equilibria; Full Substitutability; Laws Of Aggregate Supply And Demand; Contracts; Market Design; Balance and Stability
Hatfield, John William, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky, and Alexander Westkamp. "Chain Stability in Trading Networks." Theoretical Economics 16, no. 1 (January 2021): 197–234.
- January 2021
- Article
COVID-19 and the Workplace: Implications, Issues, and Insights for Future Research and Action
By: Kevin M. Kniffin, Jayanth Narayanan, Frederik Anseel, John Antonakis, Susan Ashford, Arnold B. Bakker, Peter Bamberger, Hari Bapuji, Devasheesh P. Bhave, Virginia K. Choi, Stephanie Creary, Evangelia Demerouti, Francis J. Flynn, Michele J. Gelfand, Lindred Greer, Gary Johns, Selin Kesebir, Peter G. Klein, Sun Young Lee, Hakan Ozcelik, Jennifer Louise Petriglieri, Nancy Rothbard, Cort W. Rudolph, Jason D. Shaw, Nina Sirola, Connie R. Wanberg, Ashley V. Whillans, Michael P. Wilmot and Mark van Vugt
The impacts of COVID-19 on workers and workplaces across the globe have been dramatic. This broad review of prior research rooted in work and organizational psychology, and related fields, is intended to make sense of the implications for employees, teams, and work... View Details
Keywords: COVID-19; Work; Work From Home (WFH); Pandemics; Health Pandemics; Employees; Working Conditions; Organizational Change and Adaptation
Kniffin, Kevin M., Jayanth Narayanan, Frederik Anseel, John Antonakis, Susan Ashford, Arnold B. Bakker, Peter Bamberger, Hari Bapuji, Devasheesh P. Bhave, Virginia K. Choi, Stephanie Creary, Evangelia Demerouti, Francis J. Flynn, Michele J. Gelfand, Lindred Greer, Gary Johns, Selin Kesebir, Peter G. Klein, Sun Young Lee, Hakan Ozcelik, Jennifer Louise Petriglieri, Nancy Rothbard, Cort W. Rudolph, Jason D. Shaw, Nina Sirola, Connie R. Wanberg, Ashley V. Whillans, Michael P. Wilmot, and Mark van Vugt. "COVID-19 and the Workplace: Implications, Issues, and Insights for Future Research and Action." American Psychologist 76, no. 1 (January 2021): 63–77.
- 2021
- Article
Fair Algorithms for Infinite and Contextual Bandits
By: Matthew Joseph, Michael J Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth
We study fairness in linear bandit problems. Starting from the notion of meritocratic fairness introduced in Joseph et al. [2016], we carry out a more refined analysis of a more general problem, achieving better performance guarantees with fewer modelling assumptions... View Details
Joseph, Matthew, Michael J Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Fair Algorithms for Infinite and Contextual Bandits." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 4th (2021).
- 2021
- Article
Helping and Happiness: A Review and Guide for Public Policy
By: Lara B. Aknin and Ashley V. Whillans
Perhaps one of the most reaffirming findings to emerge over the past several decades is that humans not only engage in generous behavior, they also appear to experience pleasure from doing so. Yet not all acts of helping lead to greater happiness. Here, we review the... View Details
Aknin, Lara B., and Ashley V. Whillans. "Helping and Happiness: A Review and Guide for Public Policy." Social Issues and Policy Review 15 (2021): 3–34.
- Winter 2021
- Editorial
Introduction
This issue of Negotiation Journal is dedicated to the theme of artificial intelligence, technology, and negotiation. It arose from a Program on Negotiation (PON) working conference on that important topic held virtually on May 17–18. The conference was not the... View Details
Wheeler, Michael A. "Introduction." Special Issue on Artificial Intelligence, Technology, and Negotiation. Negotiation Journal 37, no. 1 (Winter 2021): 5–12.
- Article
Memory and Representativeness
By: Pedro Bordalo, Katherine Baldiga Coffman, Nicola Gennaioli, Frederik Schwerter and Andrei Shleifer
We explore the idea that judgment by representativeness reflects the workings of episodic memory, especially interference. In a new laboratory experiment on cued recall, participants are shown two groups of images with different distributions of colors. We find that i)... View Details
Bordalo, Pedro, Katherine Baldiga Coffman, Nicola Gennaioli, Frederik Schwerter, and Andrei Shleifer. "Memory and Representativeness." Psychological Review 128, no. 1 (January 2021): 71–85.
- 2021
- Working Paper
Real Credit Cycles
By: Pedro Bordalo, Nicola Gennaioli, Andrei Shleifer and Stephen J. Terry
We incorporate diagnostic expectations, a psychologically founded model of overreaction to news, into a workhorse business cycle model with heterogeneous firms and risky debt. A realistic degree of diagnosticity, estimated from the forecast errors of managers of U.S.... View Details
Bordalo, Pedro, Nicola Gennaioli, Andrei Shleifer, and Stephen J. Terry. "Real Credit Cycles." NBER Working Paper Series, No. 28416, January 2021.
- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption... View Details
Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- December 2020
- Case
Urban Company
Urban Company is an India-based market platform that helps customers book home services and at home beauty services. The company differentiated itself by investing heavily in building customer trust. Rather than merely positioning itself as a lead generating... View Details
Keywords: COVID-19 Pandemic; Entrepreneurship; Digital Platforms; Emerging Markets; Strategy; Service Delivery; Trust; Technology Industry; Service Industry; India
Palepu, Krishna G. "Urban Company." Harvard Business School Case 121-041, December 2020.
- Article
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
By: Kaivalya Rawal and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to... View Details
Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- Article
Incorporating the Arts to Create Technical Leaders of the Future
By: Linda A. Hill
Engineering education should be reimagined to create a new generation of technical leaders prepared to dream, invent, and steward the future. These leaders of tomorrow will need to bridge business, engineering, and the arts. View Details
Hill, Linda A. "Incorporating the Arts to Create Technical Leaders of the Future." The Bridge 50, no. S (Winter 2020). (Special 50th Anniversary Issue edited by Ronald M. Latanision.)
- 2020
- Working Paper
Institutional Corporate Bond Pricing
By: Ishita Sen, Lorenzo Bretscher, Lukas Schmid and Varun Sharma
We compile a rich dataset that links institutional investors' position level holdings with corporate bond characteristics and estimate demand elasticities with respect to critical sources of risk. Persistence in institutions' holdings provide us with an instrument to... View Details
Keywords: Corporate Bonds; Demand Systems; Insurance Companies; Mutual Funds; Liquidity; Bonds; Insurance; Investment Funds; Financial Liquidity
Sen, Ishita, Lorenzo Bretscher, Lukas Schmid, and Varun Sharma. "Institutional Corporate Bond Pricing." Working Paper, December 2020. (Revised January 2022. Revise and Resubmit, Review of Financial Studies.)
- February 2021
- Article
Rethinking the Role of the EU in European Competitiveness
By: Christian H.M. Ketels and Michael E. Porter
The aim of this conceptual paper is to delineate the scope and give directives towards higher levels of competitiveness and prosperity for EU members. The EU integration history and challenges are retraced and the EU’s current competitiveness context is presented. In a... View Details
Keywords: Competitiveness; Public Policy; Competitive Advantage; Government Administration; European Union
Ketels, Christian H.M., and Michael E. Porter. "Rethinking the Role of the EU in European Competitiveness." Competitiveness Review 31, no. 2 (February 2021): 189–207.
- Article
Robust and Stable Black Box Explanations
By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there
has been a growing interest in developing post hoc explanations that summarize the behaviors
of these black boxes. However, existing algorithms for generating such... View Details
Lakkaraju, Himabindu, Nino Arsov, and Osbert Bastani. "Robust and Stable Black Box Explanations." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020): 5628–5638. (Published in PMLR, Vol. 119.)
- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details
Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
- 2023
- Working Paper
The Market for Healthcare in Low Income Countries
By: Abhijit Banerjee, Abhijit Chowdhury, Jishnu Das, Jeffrey Hammer, Reshmaan Hussam and Aakash Mohpal
Patient trust is an important driver of the demand for healthcare. But it may also impact supply:
doctors who realize that patients may not trust them may adjust their behavior in response. We
assemble a large dataset that assesses clinical performance using... View Details
Banerjee, Abhijit, Abhijit Chowdhury, Jishnu Das, Jeffrey Hammer, Reshmaan Hussam, and Aakash Mohpal. "The Market for Healthcare in Low Income Countries." Working Paper, July 2023.
- November 2020
- Background Note
The New Generation of Retail
By: William R. Kerr, Daniel O'Connor and James Palano
Kerr, William R., Daniel O'Connor, and James Palano. "The New Generation of Retail." Harvard Business School Background Note 821-036, November 2020.
- 2020
- Working Paper
Party-State Capitalism in China
By: Margaret Pearson, Meg Rithmire and Kellee Tsai
The “state capitalism” model, in which the state retains a dominant role as owner or investor-shareholder amidst the presence of markets and private firms, has received increasing attention, with China cited as the main exemplar. Yet as models evolve, so has China’s... View Details
Pearson, Margaret, Meg Rithmire, and Kellee Tsai. "Party-State Capitalism in China." Harvard Business School Working Paper, No. 21-065, November 2020.
- November 2020 (Revised September 2021)
- Case
HP Instant Ink: (Self) Disrupting the Consumer Printing Market
By: Elie Ofek, Marco Bertini, Oded Koenigsberg and George Gonzalez
Seeking to disrupt the consumer printing market (before being disrupted by others), and in response to customer pain points, in 2013 HP Inc. launched an ink replenishment service called Instant Ink, where customers pay a monthly subscription fee based on the number of... View Details
Keywords: Printing; Ink; Subscription Model; Customers; Information Infrastructure; Service Delivery; Business Model; Disruption; Growth and Development Strategy
Ofek, Elie, Marco Bertini, Oded Koenigsberg, and George Gonzalez. "HP Instant Ink: (Self) Disrupting the Consumer Printing Market." Harvard Business School Case 521-016, November 2020. (Revised September 2021.)