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    • All HBS Web  (5,239)
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      Behavioral Decision ResearchRemove Behavioral Decision Research →

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      • December 2020 (Revised April 2021)
      • Case

      IBM Watson at MD Anderson Cancer Center

      By: Shane Greenstein, Mel Martin and Sarkis Agaian
      After discovering that their cancer diagnostic tool, designed to leverage the cloud computing power of IBM Watson, needed greater integration into the clinical processes at the MD Anderson Cancer Center, the development team had difficult choices to make. The Oncology... View Details
      Keywords: Decision Making; Innovation Strategy; Knowledge Management; Knowledge Use and Leverage; Operations; Failure; Information Technology; Applications and Software; Health Care and Treatment; Product Development; Health Industry; Information Technology Industry; Technology Industry; United States; Houston; Texas
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      Greenstein, Shane, Mel Martin, and Sarkis Agaian. "IBM Watson at MD Anderson Cancer Center." Harvard Business School Case 621-022, December 2020. (Revised April 2021.)
      • December 2020 (Revised March 2022)
      • Teaching Note

      Forecasting ClimaCell

      By: Joshua Lev Krieger, Christopher Stanton and James Barnett
      A weather technology startup, ClimaCell considers the R&D trade-offs and financing implications of pursuing a proposed contract with a major automobile maker, rather than continuing its focus on building a scalable, all-purpose weather prediction engine. View Details
      Keywords: Weather; Forecasting and Prediction; Business Startups; Research and Development; Finance; Cost vs Benefits; Decision Making; Strategy; United States; Israel; Massachusetts; Colorado
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      Krieger, Joshua Lev, Christopher Stanton, and James Barnett. "Forecasting ClimaCell." Harvard Business School Teaching Note 821-008, December 2020. (Revised March 2022.)
      • 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
      Keywords: Predictive Models; Decision Making; Framework; Mathematical Methods
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      Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
      • December 2020
      • Supplement

      France Télécom (C): An Unprecedented Trial

      By: Cynthia A. Montgomery and Ashley V. Whillans
      In the C case we learn that former CEO Didier Lombard, Deputy Chief Executive Louis-Pierre Wenes, Human Resources Head Olivier Barberot and France Telecom itself were charged for institutional harassment by French authorities, a first for a CAC 40 company. In December... View Details
      Keywords: Human Behavior; Human Dignity; Human Resource Practices; Corporate Change And Sustainability; Corporate Culture; Strategic Corporate Decisions; Strategic Change; Strategic Decision Making; Emotion; Management Challenges; Corporate Accountability; Organizational Culture; Human Resources; Crisis Management; Law; Courts and Trials; Labor; Labor and Management Relations; Management Practices and Processes; Employees; Well-being; Telecommunications Industry; Europe; European Union
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      Montgomery, Cynthia A., and Ashley V. Whillans. "France Télécom (C): An Unprecedented Trial." Harvard Business School Supplement 721-422, December 2020.
      • 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
      Keywords: Machine Learning; Black Box Models; Framework
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      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.)
      • December 2020
      • Article

      What Has Changed? The Impact of COVID Pandemic on the Technology and Innovation Management Research Agenda

      By: Gerard George, Karim R. Lakhani and Phanish Puranam
      Whereas the pandemic has tested the agility and resilience of organizations, it forces a deeper look at the assumptions underlying theoretical frameworks that guide managerial decisions and organizational practices. In this commentary, we explore the impact of the... View Details
      Keywords: COVID-19; Health Pandemics; Information Technology; Innovation and Management; Research
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      George, Gerard, Karim R. Lakhani, and Phanish Puranam. "What Has Changed? The Impact of COVID Pandemic on the Technology and Innovation Management Research Agenda." Journal of Management Studies 57, no. 8 (December 2020).
      • November 2020
      • Case

      Axis My India

      By: Ananth Raman, Ann Winslow and Kairavi Dey
      Pradeep Gupta founded Axis My India (AMI) as a printing and publishing company in 1998. In 2013, AMI expanded into consumer research and election forecasting. Although a relatively unknown entity, AMI predicted several election results accurately. Gupta describes AMI’s... View Details
      Keywords: Market Research; Operations; Management; Infrastructure; Logistics; Service Operations; Political Elections; Forecasting and Prediction; Asia; India
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      Raman, Ananth, Ann Winslow, and Kairavi Dey. "Axis My India." Harvard Business School Case 621-075, November 2020.
      • 2020
      • Working Paper

      Determinants of Early-Stage Startup Performance: Survey Results

      By: Thomas R. Eisenmann
      To explore determinants of new venture performance, the CEOs of 470 early-stage startups were surveyed regarding a broad range of factors related to their venture’s customer value proposition, product management, marketing, technology and operations, financial... View Details
      Keywords: Startups; Survey Research; Performance Analysis; Entrepreneurship; Performance; Analysis; Business Startups; Failure; Surveys
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      Eisenmann, Thomas R. "Determinants of Early-Stage Startup Performance: Survey Results." Harvard Business School Working Paper, No. 21-057, October 2020.
      • Article

      Energy Conservation Behaviour: Three Thumbs Up For Social Norms

      By: Jon M. Jachimowicz
      Social norm interventions are widely used to foster residential resource conservation. Now researchers have shown that the effectivenes of providing information about others' energy use alongside messages of social approval for energy savings behaviour depends on the... View Details
      Keywords: Energy Conservation; Behavior; Change
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      Jachimowicz, Jon M. "Energy Conservation Behaviour: Three Thumbs Up For Social Norms." Nature Energy 5, no. 11 (November 2020): 826–827.
      • 2022
      • Working Paper

      Intertemporal Altruism

      By: Felix Chopra, Armin Falk and Thomas Graeber
      Most prosocial decisions involve intertemporal tradeoffs. Yet, the timing of prosocial utility flows is ambiguous and bypassed by most models of other-regarding preferences. We study the behavioral implications of the time structure of prosocial utility,... View Details
      Keywords: Altruism; Donation; Intertemporal Decision-making; Time Inconsistency
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      Chopra, Felix, Armin Falk, and Thomas Graeber. "Intertemporal Altruism." Working Paper, August 2022. (R&R at American Economic Journal Microeconomics.)
      • Article

      Nudging: Progress to Date and Future Directions

      By: John Beshears and Harry Kosowsky
      Nudges influence behavior by changing the environment in which decisions are made, without restricting the menu of options and without altering financial incentives. This paper assesses past empirical research on nudging and provides recommendations for future work in... View Details
      Keywords: Nudge; Choice Architecture; Behavioral Economics; Behavioral Science; Behavior; Change; Situation or Environment; Decision Choices and Conditions; Decision Making
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      Beshears, John, and Harry Kosowsky. "Nudging: Progress to Date and Future Directions." Organizational Behavior and Human Decision Processes 161, Supplement (November 2020): 3–19.
      • 2020
      • Article

      Worry at Work: How Organizational Culture Promotes Anxiety

      By: Jeremy A. Yip, Emma E. Levine, Alison Wood Brooks and Maurice E. Schweitzer
      Organizational culture profoundly influences how employees think and behave. Established research suggests that the content, intensity, consensus, and fit of cultural norms act as a social control system for attitudes and behavior. We adopt the norms model of... View Details
      Keywords: Anxiety; Norms; Stress; Culture; Tightness-looseness; Curvilinear; Organizational Culture; Emotions; Performance
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      Yip, Jeremy A., Emma E. Levine, Alison Wood Brooks, and Maurice E. Schweitzer. "Worry at Work: How Organizational Culture Promotes Anxiety." Art. 100124. Research in Organizational Behavior 40 (2020).
      • October 2020 (Revised March 2022)
      • Case

      The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (A)

      By: Ashley V. Whillans and Shibeal O'Flaherty
      This case describes the experiences of Michael Sanders—the Chief Executive of the What Works Center for Children’s Social Care—as he led the design and implementation of a program of research aimed at improving the social care system in the United Kingdom (UK) at the... View Details
      Keywords: Non-cash Compensation; Behavioral Science; Employees; Welfare; Compensation and Benefits; Well-being; United Kingdom
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      Whillans, Ashley V., and Shibeal O'Flaherty. "The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (A)." Harvard Business School Case 921-020, October 2020. (Revised March 2022.)
      • October 2020 (Revised March 2022)
      • Supplement

      The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (B)

      By: Ashley V. Whillans and Shibeal O'Flaherty
      This case describes the experiences of Michael Sanders—the Chief Executive of the What Works Center for Children’s Social Care—as he led the design and implementation of a program of research aimed at improving the social care system in the United Kingdom (UK) at the... View Details
      Keywords: Non-cash Compensation; Behavioral Science; Employees; Well-being; Compensation and Benefits; United Kingdom
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      Whillans, Ashley V., and Shibeal O'Flaherty. "The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (B)." Harvard Business School Supplement 921-022, October 2020. (Revised March 2022.)
      • October 2020
      • Article

      IQ from IP: Simplifying Search in Portfolio Choice

      By: Huaizhi Chen, Lauren Cohen, Umit Gurun, Dong Lou and Christopher J. Malloy
      Using a novel database that tracks web traffic on the SEC’s EDGAR servers between 2004 and 2015, we show that mutual fund managers gather information on a very particular subset of firms and insiders, and their surveillance is very persistent over time. This tracking... View Details
      Keywords: Tracked Trades; Return Predictability; Institutional Trading; Insider Trading; Institutional Investing; Information; Investment Portfolio; Decisions; Management
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      Chen, Huaizhi, Lauren Cohen, Umit Gurun, Dong Lou, and Christopher J. Malloy. "IQ from IP: Simplifying Search in Portfolio Choice." Journal of Financial Economics 138, no. 1 (October 2020): 118–137. (Winner of the First Prize, Crowell Memorial Award for Best Paper in Quantitative Investments, PanAgora Asset Management, 2019.)
      • September 2020 (Revised March 2022)
      • Case

      JOANN: Joannalytics Inventory Allocation Tool

      By: Kris Ferreira and Srikanth Jagabathula
      Michael Joyce, Vice President of Inventory Management at JOANN, championed an effort to develop and implement an inventory allocation analytics tool that used advanced analytics to predict in-season demand of seasonal items for each of JOANN’s nearly 900 stores and... View Details
      Keywords: Analytics; Machine Learning; Optimization; Inventory Management; Mathematical Methods; Decision Making; Operations; Supply Chain Management; Resource Allocation; Distribution; Technology Adoption; Applications and Software; Change Management; Fashion Industry; Consumer Products Industry; Retail Industry; United States; Ohio
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      Ferreira, Kris, and Srikanth Jagabathula. "JOANN: Joannalytics Inventory Allocation Tool." Harvard Business School Case 621-055, September 2020. (Revised March 2022.)
      • September 2020
      • Case

      Drinkworks: Home Bar by Keurig

      By: Sunil Gupta, Jonathan Levav and Julia Kelley
      In the summer of 2018, Drinkworks CEO Nathaniel Davis needed to make a number of go-to-market decisions ahead of his company’s upcoming product launch. Formed through a joint venture between Keurig Dr. Pepper and Anheuser-Busch InBev, Drinkworks had developed an... View Details
      Keywords: Marketing; Marketing Strategy; Product Marketing; Product Launch; Product Positioning; Markets; Bids and Bidding; Demand and Consumers; Consumer Behavior; Market Design; Distribution; Distribution Channels; Product; Product Design; Product Development; Business Model; Customers; Customer Value and Value Chain; Decision Making; Decisions; Goods and Commodities; Innovation and Invention; Technological Innovation; Business or Company Management; Growth and Development Strategy; Research; Research and Development; Strategy; Adoption; Competitive Advantage; Segmentation; Information Technology; Information Infrastructure; Value; Value Creation; Food and Beverage Industry; Consumer Products Industry; North and Central America; United States
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      Gupta, Sunil, Jonathan Levav, and Julia Kelley. "Drinkworks: Home Bar by Keurig." Harvard Business School Case 521-010, September 2020.
      • September 2, 2020
      • Article

      What Really Prevents Companies from Thriving in a Recession

      By: Ranjay Gulati and Mark Wiedman
      Even in the best of times, many companies fail to fund and staff new opportunities. As decades of research have shown, leaders fear threats to their status and power and so become attached to existing businesses and budgets, regarding them as entitlements and as a... View Details
      Keywords: Recessions; Resource Allocation; Budgets and Budgeting
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      Gulati, Ranjay, and Mark Wiedman. "What Really Prevents Companies from Thriving in a Recession." Harvard Business Review Digital Articles (September 2, 2020).
      • September 2020
      • Article

      Analyst Forecast Bundling

      By: Michael Drake, Peter Joos, Joseph Pacelli and Brady Twedt
      Changing economic conditions over the past two decades have created incentives for sell-side analysts to both provide their institutional clients tiered services and to streamline their written research process. One manifestation of these changes is an increased... View Details
      Keywords: Analysts; Earnings Forecasts; Forecast Accuracy; Forecast Bundling; Business Earnings; Forecasting and Prediction
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      Drake, Michael, Peter Joos, Joseph Pacelli, and Brady Twedt. "Analyst Forecast Bundling." Management Science 66, no. 9 (September 2020): 4024–4046.
      • September 2020
      • Article

      Creativity, Artificial Intelligence, and a World of Surprises

      By: Teresa M. Amabile
      In recent years, progress has been made toward AI Creativity, which I define as the production of highly novel, yet appropriate, ideas, problem solutions, or other outputs by autonomous machines. I argue that organizational researchers of creativity and innovation... View Details
      Keywords: Artificial Intelligence; AI Creativity; Computer Science; Organizational Behavior; Psychology; Creativity; Technological Innovation; AI and Machine Learning
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      Amabile, Teresa M. "Creativity, Artificial Intelligence, and a World of Surprises." Academy of Management Discoveries 6, no. 3 (September 2020): 351–354.
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