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- All HBS Web
(2,893)
- Faculty Publications (958)
- August 2021
- Supplement
Coats: Supply Chain Challenges: Spreadsheet Supplement
By: Willy C. Shih
Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour... View Details
- Article
A Multi-country Test of Brief Reappraisal Interventions on Emotions During the COVID-19 Pandemic
By: Ke Wang, Amit Goldenberg, Charles Dorison, Jeremy Miller, Jennifer Lerner and James Gross
The COVID-19 pandemic is increasing negative emotions and decreasing positive emotions globally. Left unchecked, these emotional changes may have a wide array of adverse impacts. To reduce negative emotions and increase positive emotions, we will examine the impact of... View Details
Keywords: COVID-19; Emotion Regulation; Reappraisal; Interventions; Health Pandemics; Emotions; Global Range
Wang, Ke, Amit Goldenberg, Charles Dorison, Jeremy Miller, Jennifer Lerner, and James Gross. "A Multi-country Test of Brief Reappraisal Interventions on Emotions During the COVID-19 Pandemic." Nature Human Behaviour 5, no. 8 (August 2021): 1089–1110.
- 2021
- Working Paper
Multiple Team Membership, Turnover, and On-Time Delivery: Evidence from Construction Services
By: Hise O. Gibson, Bradely R. Staats and Ananth Raman
Firms who want to compete in dynamic markets are finding that they must build more agile operations to ensure success. One way for a firm to increase organizational agility is to allocate employees to multiple project teams, simultaneously—a practice known as multiple... View Details
Keywords: Multiple Team Membership; Turnover; Fluid Teams; Project Management; Groups and Teams; Projects; Management; Performance
Gibson, Hise O., Bradely R. Staats, and Ananth Raman. "Multiple Team Membership, Turnover, and On-Time Delivery: Evidence from Construction Services." Harvard Business School Working Paper, No. 22-004, July 2021.
- 2021
- Working Paper
Dirty Money: How Banks Influence Financial Crime
By: Joseph Pacelli, Janet Gao, Jan Schneemeier and Yufeng Wu
On September 21st, 2020, a consortium of international journalists leaked nearly 2,500 suspicious activity reports (SAR) obtained from the U.S. Financial Crimes Enforcement Network, exposing nearly $2 trillion of money laundering activity. The event raises important... View Details
Pacelli, Joseph, Janet Gao, Jan Schneemeier, and Yufeng Wu. "Dirty Money: How Banks Influence Financial Crime." Working Paper, July 2021.
- Article
Learning Models for Actionable Recourse
By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely... View Details
Ross, Alexis, Himabindu Lakkaraju, and Osbert Bastani. "Learning Models for Actionable Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- Summer 2021
- Article
Platform Leadership and Supply Chains: Intel, Centrino, and the Restructuring of Wi-Fi Supply
By: Roberto Fontana and Shane Greenstein
In this paper we examine Intel’s launch of Centrino and interpret it as platform leaders attempt to restructure a supply chain. We provide a narrative of key actions and how they coordinated changes and offer a framework of the predictable consequences for... View Details
Fontana, Roberto, and Shane Greenstein. "Platform Leadership and Supply Chains: Intel, Centrino, and the Restructuring of Wi-Fi Supply." Journal of Economics & Management Strategy 30, no. 2 (Summer 2021): 259–286.
- Article
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
Keywords: Machine Learning; Black Box Explanations; Decision Making; Forecasting and Prediction; Information Technology
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Perturbation and Gradient Based Explanations." Proceedings of the International Conference on Machine Learning (ICML) 38th (2021).
- 2021
- Book
Why Startups Fail: A New Roadmap for Entrepreneurial Success
Why Startups Fail explores entrepreneurial failure, examining its predictable patterns, how to avoid them, and how to cope when failure does occur. Part I looks at three common failure patterns for early-stage startups, illustrating each with an anchor case... View Details
Eisenmann, Thomas R. Why Startups Fail: A New Roadmap for Entrepreneurial Success. New York: Currency, 2021.
- Article
Work Group Rituals Enhance the Meaning of Work
By: Tami Kim, Ovul Sezer, Juliana Schroeder, Jane L. Risen, Francesca Gino and Michael I. Norton
The many benefits of finding meaning in work suggest the importance of identifying activities that increase job meaningfulness. The current paper identifies one such activity: engaging in rituals with workgroups. Five studies (N = 1,099) provide evidence that... View Details
Keywords: Groups; Meaningfulness; Task Meaning; Ritual; Teams; Organizational Citizenship; Groups and Teams; Behavior; Familiarity
Kim, Tami, Ovul Sezer, Juliana Schroeder, Jane L. Risen, Francesca Gino, and Michael I. Norton. "Work Group Rituals Enhance the Meaning of Work." Organizational Behavior and Human Decision Processes 165 (July 2021): 197–212.
- June 2021
- Technical Note
Introduction to Linear Regression
By: Michael Parzen and Paul Hamilton
This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical... View Details
- Article
Birds of a Feather...Enforce Social Norms? Interactions Among Culture, Norms, and Strategy
By: Hongyi Li and Eric J. Van den Steen
Does culture eat strategy for breakfast? This paper investigates the interactions among corporate culture, norms, and strategy, in order to better understand this issue and related questions. It first shows, through microfoundations, how the forces that drive toward... View Details
Li, Hongyi, and Eric J. Van den Steen. "Birds of a Feather...Enforce Social Norms? Interactions Among Culture, Norms, and Strategy." Strategy Science 6, no. 2 (June 2021): 166–189.
- June 2021
- Article
Does the Freedom of Information Act Foil the Securities and Exchange Commission's Intent to Keep Investigations Confidential?
By: Braiden Coleman, Kenneth Merkley, Brian Miller and Joseph Pacelli
The Securities and Exchange Commission (SEC) has a long-standing policy to keep formal investigations confidential. In this study, we examine the extent to which compliance with the Freedom of Information Act (FOIA) provides investors with information about ongoing SEC... View Details
Keywords: Securities And Exchange Commission (SEC) Investigations; Freedom Of Information Act (FOIA); Exemption Denials
Coleman, Braiden, Kenneth Merkley, Brian Miller, and Joseph Pacelli. "Does the Freedom of Information Act Foil the Securities and Exchange Commission's Intent to Keep Investigations Confidential?" Management Science 67, no. 6 (June 2021).
- 2021
- Working Paper
Equilibrium Effects of Pay Transparency
By: Zoë B. Cullen and Bobak Pakzad-Hurson
The public discourse around pay transparency has focused on the direct effect: how workers seek
to rectify newly-disclosed pay inequities through renegotiations. The question of how wage-setting
and hiring practices of the firm respond in equilibrium has received... View Details
- Article
Measuring Audit Quality
By: Shivaram Rajgopal, Suraj Srinivasan and Xin Zheng
In this paper, we document 45 specific allegations related to audit deficiencies based on GAAS, as detailed in 141 AAERs and 153 securities class action lawsuits over the violation years 1978–2016. Next, we use these allegations to validate existing popular proxies of... View Details
Keywords: Audit Quality; Audit Deficiency; AAER; Securities Class Action Lawsuits; Enforcement; Accounting Audits; Quality; Measurement and Metrics
Rajgopal, Shivaram, Suraj Srinivasan, and Xin Zheng. "Measuring Audit Quality." Review of Accounting Studies 26, no. 2 (June 2021): 559–619.
- July–August 2021
- Article
Why You Aren't Getting More from Your Marketing AI
By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of... View Details
Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning
Ascarza, Eva, Michael Ross, and Bruce G.S. Hardie. "Why You Aren't Getting More from Your Marketing AI." Harvard Business Review 99, no. 4 (July–August 2021): 48–54.
- May 2021
- Case
Roku 2021
By: David B. Yoffie and Daniel Fisher
This case is used to explore the strategic concept of "look forward, reason back." Roku in 2021 is trying to figure out the future of television and streaming media. Students are asked to provide a vision for television and streaming media (that is, Look Forward) by... View Details
Keywords: Television Entertainment; Forecasting and Prediction; Decision Choices and Conditions; Strategy; Strategic Planning; Media and Broadcasting Industry
Yoffie, David B., and Daniel Fisher. "Roku 2021." Harvard Business School Case 721-480, May 2021.
- May 2021 (Revised February 2024)
- 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... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
- May 2021
- Article
Choice Architecture in Physician–patient Communication: A Mixed-methods Assessment of Physicians' Competency
By: J. Hart, K. Yadav, S. Szymanski, A. Summer, A. Tannenbaum, J. Zlatev, D. Daniels and S.D. Halpern
Background: Clinicians’ use of choice architecture, or how they present options, systematically influences the choices made by patients and their surrogate decision makers. However, clinicians may incompletely understand this influence.... View Details
Keywords: Choice Architecture; Health Care and Treatment; Interpersonal Communication; Decision Choices and Conditions; Competency and Skills
Hart, J., K. Yadav, S. Szymanski, A. Summer, A. Tannenbaum, J. Zlatev, D. Daniels, and S.D. Halpern. "Choice Architecture in Physician–patient Communication: A Mixed-methods Assessment of Physicians' Competency." BMJ Quality & Safety 30, no. 5 (May 2021).
- 2021
- Working Paper
Property Rights and Urban Form
By: Simeon Djankov, Edward L. Glaeser, Valeria Perotti and Andrei Shleifer
How do the different elements in the standard bundle of property rights, including those of possession and transfer, influence the shape of cities? This paper incorporates insecure property rights into a standard model of urban land prices and density, and makes... View Details
Djankov, Simeon, Edward L. Glaeser, Valeria Perotti, and Andrei Shleifer. "Property Rights and Urban Form." NBER Working Paper Series, No. 28793, May 2021.
- April 2021
- Case
Distinct Software
By: Das Narayandas, Arijit Sengupta and Jonathan Wray
Distinct Software (disguised name), a global enterprise software company, is at an important point in its growth trajectory where the luster of its mantra of “grow and win at any cost” has dimmed with increasing competition and margin pressures. To help navigate its... View Details
Keywords: Artificial Intelligence; Marketing; Sales; Performance Productivity; Technological Innovation; AI and Machine Learning
Narayandas, Das, Arijit Sengupta, and Jonathan Wray. "Distinct Software." Harvard Business School Case 521-101, April 2021.