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      • January 2023 (Revised January 2023)
      • Case

      Belden and Digital Transformation: From Product Sales to Solutions Sales

      By: Frank V. Cespedes and Amy Klopfenstein
      This case provides an overview of a sales transformation in the industrial automation division at Belden, a hardware manufacturer. While Belden historically sold products such as cables, wires, and other networking devices, EVP of Industrial Automation Ashish Chand...  View Details
      Keywords: Implementation; Sales Cycle; Digital Transformation; Sales; Product Positioning; Business Model; Market Entry and Exit; Customer Focus and Relationships; Business and Stakeholder Relations; Supply and Industry; Technology Industry; North America; United States
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      Cespedes, Frank V., and Amy Klopfenstein. "Belden and Digital Transformation: From Product Sales to Solutions Sales." Harvard Business School Case 823-002, January 2023. (Revised January 2023.)
      • 2022
      • Working Paper

      Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

      By: Daniel Yue, Paul Hamilton and Iavor Bojinov
      Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of tools...  View Details
      Keywords: Analytics and Data Science
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      Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022.
      • 2022
      • Article

      OpenXAI: Towards a Transparent Evaluation of Model Explanations

      By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
      While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and...  View Details
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      Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
      • October 2022
      • Exercise

      Shanty Real Estate: Confidential Information for Homebuyer 1

      By: Michael Luca, Jesse M. Shapiro and Nathan Sun
      Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
      Keywords: Data-driven Decision-making; Decisions; Negotiation; Bids and Bidding; Valuation; Consumer Behavior; Real Estate Industry
      Citation
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      Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 1." Harvard Business School Exercise 923-016, October 2022.
      • October 2022
      • Exercise

      Shanty Real Estate: Confidential Information for Homebuyer 2

      By: Michael Luca, Jesse M. Shapiro and Nathan Sun
      Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
      Keywords: Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
      Citation
      Purchase
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      Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 2." Harvard Business School Exercise 923-017, October 2022.
      • October 2022
      • Exercise

      Shanty Real Estate: Confidential Information for Homebuyer 3

      By: Michael Luca, Jesse M. Shapiro and Nathan Sun
      Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
      Keywords: Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
      Citation
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      Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 3." Harvard Business School Exercise 923-018, October 2022.
      • October 2022
      • Exercise

      Shanty Real Estate: Confidential Information for iBuyer 1

      By: Michael Luca, Jesse M. Shapiro and Nathan Sun
      Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
      Keywords: Algorithm; Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
      Citation
      Purchase
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      Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for iBuyer 1." Harvard Business School Exercise 923-019, October 2022.
      • October 2022
      • Exercise

      Shanty Real Estate: Confidential Information for iBuyer 2

      By: Michael Luca, Jesse M. Shapiro and Nathan Sun
      Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
      Keywords: Decision Choices and Conditions; Decision Making; Market Timing; Measurement and Metrics
      Citation
      Purchase
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      Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for iBuyer 2." Harvard Business School Exercise 923-020, October 2022.
      • October 2022
      • Exercise

      Shanty Real Estate: Confidential Information for iBuyer 3

      By: Michael Luca, Jesse M. Shapiro and Nathan Sun
      Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
      Keywords: Algorithm; Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
      Citation
      Purchase
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      Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for iBuyer 3." Harvard Business School Exercise 923-021, October 2022.
      • October 2022
      • Exercise

      Shanty Real Estate: Updated Confidential Information for Homebuyer

      By: Michael Luca, Jesse M. Shapiro and Nathan Sun
      Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
      Keywords: Algorithm; Decision Choices and Conditions; Decision Making; Market Timing; Measurement and Metrics
      Citation
      Purchase
      Related
      Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Updated Confidential Information for Homebuyer." Harvard Business School Exercise 923-022, October 2022.
      • October 2022
      • Exercise

      Shanty Real Estate: Updated Confidential Information for iBuyer

      By: Michael Luca, Jesse M. Shapiro and Nathan Sun
      Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
      Keywords: Algorithm; Decision Choices and Conditions; Measurement and Metrics; Market Timing; Decision Making
      Citation
      Purchase
      Related
      Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Updated Confidential Information for iBuyer." Harvard Business School Exercise 923-023, October 2022.
      • 2022
      • Article

      Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response

      By: Alexander MacKay and Samuel N. Weinstein
      Pricing algorithms are rapidly transforming markets, from ride-sharing apps, to air travel, to online retail. Regulators and scholars have watched this development with a wary eye. Their focus so far has been on the potential for pricing algorithms to facilitate...  View Details
      Keywords: Competition Policy; Regulation; Algorithmic Pricing; Dynamic Pricing; Economics; Law And Economics; Law And Regulation; Consumer Protection; Antitrust Law; Industrial Organization; Antitrust Issues And Policies; Technological Change: Choices And Consequences; Competition; Policy; Price; Governing Rules, Regulations, and Reforms; Microeconomics; Duopoly and Oligopoly; Law
      Citation
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      MacKay, Alexander, and Samuel N. Weinstein. "Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response." Washington University Law Review 100, no. 1 (2022): 111–174. (Direct download.)
      • September 2022
      • Article

      Human Versus Machine: A Comparison of Robo-Analyst and Traditional Research Analyst Investment Recommendations

      By: Braiden Coleman, Kenneth J. Merkley and Joseph Pacelli
      We provide the first comprehensive analysis of the properties of investment recommendations generated by “Robo-Analysts,” which are human analyst-assisted computer programs conducting automated research analysis. Our results indicate that Robo-Analyst recommendations...  View Details
      Keywords: Fintech; Analysts; Robo-analysts; Investment Recommendations; Investment; Information Technology; Performance
      Citation
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      Coleman, Braiden, Kenneth J. Merkley, and Joseph Pacelli. "Human Versus Machine: A Comparison of Robo-Analyst and Traditional Research Analyst Investment Recommendations." Accounting Review 97, no. 5 (September 2022): 221–244.
      • 2022
      • Working Paper

      Ethical Risks of Autonomous Products: The Case of Mental Health Crises on AI Companion Applications

      By: Julian De Freitas, Ahmet Kaan Uğuralp and Zeliha Uğuralp
      Increasingly, some products do not merely automate some piece of our lives but act as autonomous agents. When these technologies are not yet perfected, what are their risks? Here we explore the case of AI companion apps. Although these apps are designed...  View Details
      Keywords: Autonomy; Artificial Intelligence; Chatbots; New Technology; Brand Crises; Ethics; Mental Health; AI and Machine Learning; Well-being; Health; Applications and Software
      Citation
      SSRN
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      De Freitas, Julian, Ahmet Kaan Uğuralp, and Zeliha Uğuralp. "Ethical Risks of Autonomous Products: The Case of Mental Health Crises on AI Companion Applications." Harvard Business School Working Paper, No. 23-011, August 2022.
      • 2022
      • Working Paper

      Automating Short-Term Payroll Savings: Initial Evidence from a Large U.K. Experiment

      By: Sarah Holmes Berk, John Beshears, James J. Choi and David Laibson
      Automatic enrollment is often used to increase retirement plan participation. Can it be used to increase short-term savings as well? We evaluate preliminary data from an experiment at a large U.K. employer. After years of offering opt-in short-term payroll savings via...  View Details
      Keywords: Retirement Savings; Participation; Automatic Enrollment; Retirement; Human Resources
      Citation
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      Berk, Sarah Holmes, John Beshears, James J. Choi, and David Laibson. "Automating Short-Term Payroll Savings: Initial Evidence from a Large U.K. Experiment." Working Paper, July 2022.
      • 2022
      • Working Paper

      Banking on Transparency for the Poor: Experimental Evidence from India

      By: Erica M. Field, Natalia Rigol, Charity M. Troyer Moore, Rohini Pande and Simone G. Schaner
      Do information frictions limit the benefits of financial inclusion drives for the rural poor? We evaluate an experimental intervention among recently banked poor Indian women receiving government cash transfers via direct deposit. Treated women were provided automated...  View Details
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      Field, Erica M., Natalia Rigol, Charity M. Troyer Moore, Rohini Pande, and Simone G. Schaner. "Banking on Transparency for the Poor: Experimental Evidence from India." NBER Working Paper Series, No. 30289, July 2022.
      • June 2022 (Revised October 2022)
      • Background Note

      Digital Commerce and Delivery: Preparing Food and Retail Value Chains for a 50-50 World

      By: William R. Kerr, Daniel O'Connor, Paige Boehmcke and Will Ensor
      Increasing digitalization of grocery retail and quick commerce reveals insights about managing complex supply chains at scale and shifting revenue streams from product sales to data monetization. How are the roles of retailers changing? What happens if marginal cost...  View Details
      Keywords: Grocery Delivery; Grocery; Digitalization; Fulfillment; Delivery; Supply Chain; Disruption; Food; Supply Chain Management; Market Design; Trends; Value Creation; Goods and Commodities; Customer Value and Value Chain; Digital Transformation; Retail Industry; Food and Beverage Industry; United States; China
      Citation
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      Kerr, William R., Daniel O'Connor, Paige Boehmcke, and Will Ensor. "Digital Commerce and Delivery: Preparing Food and Retail Value Chains for a 50-50 World." Harvard Business School Background Note 822-108, June 2022. (Revised October 2022.)
      • Article

      Multitasking While Driving: A Time Use Study of Commuting Knowledge Workers to Assess Current and Future Uses

      By: Thomaz Teodorovicz, Andrew L. Kun, Raffaella Sadun and Orit Shaer
      Commuting has enormous impact on individuals, families, organizations, and society. Advances in vehicle automation may help workers employ the time spent commuting in productive work-tasks or wellbeing activities. To achieve this goal, however, we need to develop a...  View Details
      Keywords: In-vehicle User Interfaces; Time-use Study; Automated Vehicles; Knowledge Workers; Commuting
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      Teodorovicz, Thomaz, Andrew L. Kun, Raffaella Sadun, and Orit Shaer. "Multitasking While Driving: A Time Use Study of Commuting Knowledge Workers to Assess Current and Future Uses." International Journal of Human-Computer Studies 162 (June 2022).
      • Mar 2022
      • Conference Presentation

      Should Automated Vehicles Favor Passengers Over Pedestrians?

      By: Julian De Freitas
      Citation
      Related
      De Freitas, Julian. "Should Automated Vehicles Favor Passengers Over Pedestrians?" Paper presented at the Society for Consumer Psychology Annual Conference, March 2022. (Virtual.)
      • February 2022
      • Case

      Sekisui House and the In-Home Early Detection Platform

      By: John D. Macomber and Akiko Kanno
      To address an aging population and sales declines, major Japanese homebuilder considers pivoting to provide and support an in-home health detection platform, in competition with tech companies. This case considers the point of view of major builders regarding how...  View Details
      Keywords: Voice Assistants; Architecture; Smart Home; Aging Society; Digitalization; Real Estate; Home Automation; Sensors; Strategy; Digital Platforms; Health Care and Treatment; Housing; Age; Real Estate Industry; Construction Industry; Health Industry; Japan
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      Educators
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      Macomber, John D., and Akiko Kanno. "Sekisui House and the In-Home Early Detection Platform." Harvard Business School Case 222-070, February 2022.
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