Filter Results:
(228)
Show Results For
- All HBS Web (228)
- Faculty Publications (106)
Show Results For
- All HBS Web (228)
- Faculty Publications (106)
- January 2025
- Case
The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (A)
By: Tsedal Neeley, Levi Stroud, Ruth Page and Dave Habeeb
Pre-abstract:
This multimedia case should be assigned to students in advance of class. Instructors should consider the timing of making the (B) Case videos available to students, as they may reveal key case details.
Abstract: Florian Hillen, co-founder... View Details
Abstract: Florian Hillen, co-founder... View Details
Keywords: Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technology Adoption; Technological Innovation; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States
Neeley, Tsedal, Levi Stroud, Ruth Page, and Dave Habeeb. "The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (A)." Harvard Business School Multimedia/Video Case 425-720, January 2025.
The Comprehensive Effects of Sales Force Management: A Dynamic Structural Analysis of Selection, Compensation, and Training
This study provides a comprehensive model of an agent’s behavior in response to multiple sales management instruments, including compensation, recruiting/termination, and training. The model takes into account many of the key elements that constitute a realistic... View Details
- November 2021
- Article
The Comprehensive Effects of Sales Force Management: A Dynamic Structural Analysis of Selection, Compensation, and Training
By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This study provides a comprehensive model of an agent’s behavior in response to multiple sales management instruments, including compensation, recruiting/termination, and training. The model on agents’ behavior takes into account many of the key elements that... View Details
Keywords: Salesforce Management; Recruitment; Selection and Staffing; Compensation and Benefits; Resignation and Termination; Training; Behavior; Analysis
Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "The Comprehensive Effects of Sales Force Management: A Dynamic Structural Analysis of Selection, Compensation, and Training." Management Science 67, no. 11 (November 2021): 7046–7074.
- 2021
- Conference Presentation
An Algorithmic Framework for Fairness Elicitation
By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details
Jung, Christopher, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton, and Zhiwei Steven Wu. "An Algorithmic Framework for Fairness Elicitation." Paper presented at the 2nd Symposium on Foundations of Responsible Computing (FORC), 2021.
- 15 Apr 2025
- HBS Seminar
Hal Hershfield, University of California, Los Angeles
- Article
The Similarity Heuristic
By: Daniel Read and Yael Grushka-Cockayne
Decision makers often make snap judgments using fast‐and‐frugal decision rules called cognitive heuristics. Research into cognitive heuristics has been divided into two camps. One camp has emphasized the limitations and biases produced by the heuristics; another has... View Details
Read, Daniel, and Yael Grushka-Cockayne. "The Similarity Heuristic." Journal of Behavioral Decision Making 24, no. 1 (January 2011): 23–46.
- October 2014
- Supplement
Quiet Logistics (B)
By: Robert Simons and Natalie Kindred
This two-part case focuses on how to identify and manage strategic uncertainties in an innovative, entrepreneurial start-up company. In the (A) case, students learn about Quiet Logistics, an e-commerce fulfillment company working with high-end apparel retailers such as... View Details
Keywords: Strategy Execution; Strategic Uncertainties; Managing Growth; Disruptive Change; Robotics; Disruptive Technologies; Managing Start-ups; Management Control Systems; Performance Measurement; Business Growth and Maturation; Disruption; Entrepreneurship; Disruptive Innovation; Crisis Management; Risk Management; Organizational Change and Adaptation; Business Strategy; Competitive Strategy; E-commerce; Distribution Industry; Technology Industry; United States
Simons, Robert, and Natalie Kindred. "Quiet Logistics (B)." Harvard Business School Supplement 115-003, October 2014.
Do Experts or Collective Intelligence Write with More Bias? Evidence from Encyclopædia Britannica and Wikipedia
Organizations today can use both crowds and experts to produce knowledge. While prior work compares the accuracy of crowd-produced and expert-produced knowledge, we compare bias in these two models in the context of contested knowledge, which involves subjective,... View Details
- 2014
- Article
The Promise of Prediction Contests
By: Phillip E. Pfeifer, Yael Grushka-Cockayne and Kenneth C. Lichtendahl
This article examines the prediction contest as a vehicle for aggregating the opinions of a crowd of experts. After proposing a general definition distinguishing prediction contests from other mechanisms for harnessing the wisdom of crowds, we focus on... View Details
Pfeifer, Phillip E., Yael Grushka-Cockayne, and Kenneth C. Lichtendahl. "The Promise of Prediction Contests." American Statistician 68, no. 4 (2014): 264–270.
- September 2018
- Article
Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia
By: Shane Greenstein and Feng Zhu
Organizations today can use both crowds and experts to produce knowledge. While prior work compares the accuracy of crowd-produced and expert-produced knowledge, we compare bias in these two models in the context of contested knowledge, which involves subjective,... View Details
Keywords: Online Community; Collective Intelligence; Wisdom Of Crowds; Bias; Wikipedia; Britannica; Knowledge Production; Knowledge Sharing; Knowledge Dissemination; Prejudice and Bias
Greenstein, Shane, and Feng Zhu. "Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia." MIS Quarterly 42, no. 3 (September 2018): 945–959.
- August 2020 (Revised March 2021)
- Case
Migros Turkey: Scaling Online Operations (A)
By: Antonio Moreno and Gamze Yucaoglu
The case opens in November 2019 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are contemplating what the best fulfillment format and... View Details
Keywords: Retail; Grocery; Business Model; Emerging Markets; For-Profit Firms; Strategy; Digital Platforms; Information Technology; Technology Adoption; Value Creation; Globalization; Competition; Expansion; Logistics; Profit; Resource Allocation; Corporate Strategy; Turkey
Moreno, Antonio, and Gamze Yucaoglu. "Migros Turkey: Scaling Online Operations (A)." Harvard Business School Case 621-026, August 2020. (Revised March 2021.)
- 2016
- Working Paper
Private Networks of Managers and Financial Analysts and Their Externality on a Firm's Information Environment
By: Zengquan Li, T.J. Wong and Gwen Yu
When emerging market firms raise external capital, they face a tradeoff where greater transparency may lead to a lower cost of capital but at the cost of revealing proprietary information in their relational business practices. We find that firms overcome this... View Details
Keywords: Emerging Market; Financial Analysts; Information; Emerging Markets; Forecasting and Prediction; Corporate Governance
Li, Zengquan, T.J. Wong, and Gwen Yu. "Private Networks of Managers and Financial Analysts and Their Externality on a Firm's Information Environment." Harvard Business School Working Paper, No. 16-135, June 2016. (Revised October 2016.)
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- 2020
- Working Paper
Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
By: Ryan Allen and Prithwiraj Choudhury
Past research offers mixed perspectives on whether domain experience helps or hurts algorithm-augmented work performance. To reconcile these perspectives, we theorize that domain experience affects algorithm-augmented performance via two distinct countervailing... View Details
Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Decision-making; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Harvard Business School Working Paper, No. 21-073, October 2020. (Revised September 2021.)
- 2018
- Working Paper
How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections
By: Maria Ibanez and Michael W. Toffel
Many production processes are subject to inspection to ensure they meet quality, safety, and environmental standards imposed by companies and regulators. Inspection accuracy is critical to inspections being a useful input to assessing risks, allocating quality... View Details
Keywords: Assessment; Bias; Inspection; Scheduling; Econometric Analysis; Empirical Research; Regulation; Health; Food; Safety; Quality; Performance Consistency; Performance Evaluation; Food and Beverage Industry; Service Industry
Ibanez, Maria, and Michael W. Toffel. "How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections." Harvard Business School Working Paper, No. 17-090, April 2017. (Revised October 2018. Formerly titled "Assessing the Quality of Quality Assessment: The Role of Scheduling". Featured in Forbes, Food Safety Magazine, and Food Safety News.)
- Article
Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting
By: Raymond H. Mak, Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani and Eva C. Guinan
Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires substantial... View Details
Keywords: Crowdsourcing; AI Algorithms; Health Care and Treatment; Collaborative Innovation and Invention; AI and Machine Learning
Mak, Raymond H., Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani, and Eva C. Guinan. "Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting." JAMA Oncology 5, no. 5 (May 2019): 654–661.
- 2016
- Article
Penalized Fast Subset Scanning
By: Skyler Speakman, Sriram Somanchi, Edward McFowland III and Daniel B. Neill
We present the penalized fast subset scan (PFSS), a new and general framework for scalable and accurate pattern detection. PFSS enables exact and efficient identification of the most anomalous subsets of the data, as measured by a likelihood ratio scan statistic.... View Details
Keywords: Disease Surveillance; Likelihood Ratio Statistic; Pattern Detection; Scan Statistic; Mathematical Methods
Speakman, Skyler, Sriram Somanchi, Edward McFowland III, and Daniel B. Neill. "Penalized Fast Subset Scanning." Journal of Computational and Graphical Statistics 25, no. 2 (2016): 382–404. (Selected for “Best of JCGS” invited session by the journal’s editor in chief.)
- October 2014 (Revised June 2015)
- Case
Quiet Logistics (A)
By: Robert Simons and Natalie Kindred
This two-part case focuses on how to identify and manage strategic uncertainties in an innovative, entrepreneurial start-up company. In the (A) case, students learn about Quiet Logistics, an e-commerce fulfillment company working with high-end apparel retailers such as... View Details
Keywords: Strategy Execution; Strategic Uncertainty; Disruptive Change; Managing Growth; Robotics; Disruptive Technology; Managing Start-ups; Management Control Systems; Performance Measurement; Business Growth and Maturation; Disruption; Entrepreneurship; Disruptive Innovation; Crisis Management; Risk Management; Organizational Change and Adaptation; Business Strategy; Competitive Strategy; E-commerce; Distribution Industry; Technology Industry; United States
Simons, Robert, and Natalie Kindred. "Quiet Logistics (A)." Harvard Business School Case 115-001, October 2014. (Revised June 2015.)
- 04 Mar 2014
- HBS Seminar
Carey Morewedge, Tepper School of Business, Carnegie Mellon University
- June 2020
- Article
How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections
By: Maria Ibanez and Michael W. Toffel
Accuracy and consistency are critical for inspections to be an effective, fair, and useful tool for assessing risks, quality, and suppliers—and for making decisions based on those assessments. We examine how inspector schedules could introduce bias that erodes... View Details
Keywords: Assessment; Bias; Inspection; Scheduling; Econometric Analysis; Empirical Research; Regulation; Health; Food; Safety; Quality; Performance Consistency; Governing Rules, Regulations, and Reforms
Ibanez, Maria, and Michael W. Toffel. "How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections." Management Science 66, no. 6 (June 2020): 2396–2416. (Revised February 2019. Featured in Harvard Business Review, Forbes, Food Safety Magazine, Food Safety News, and KelloggInsight. (2020 MSOM Responsible Research Finalist.))