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      • May–June 2023
      • Article

      Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut

      By: Fabrizio Fantini and Das Narayandas
      Advanced analytics can help companies solve a host of management problems, including those related to marketing, sales, and supply-chain operations, which can lead to a sustainable competitive advantage. But as more data becomes available and advanced analytics are...  View Details
      Keywords: Analytics and Data Science; Decision Making
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      Fantini, Fabrizio, and Das Narayandas. "Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut." Harvard Business Review 101, no. 3 (May–June 2023): 82–91.
      • May–June 2023
      • Article

      Should Your Start-up Be For-profit or Nonprofit?: A Guide for Social Entrepreneurs

      By: Cait Brumme and Brian Trelstad
      Years ago the line between nonprofit and for-profit enterprises was clear, but that has changed. Nonprofits now offer products that compete with those of the best for-profits, and for-profits can deliver as much social value as charities. Despite the blurred...  View Details
      Keywords: Business Startups; Social Entrepreneurship; Mission and Purpose; Nonprofit Organizations; For-Profit Firms; Decision Choices and Conditions
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      Brumme, Cait, and Brian Trelstad. "Should Your Start-up Be For-profit or Nonprofit? A Guide for Social Entrepreneurs." Harvard Business Review 101, no. 3 (May–June 2023): 136–145.
      • 2023
      • Article

      Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

      By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
      Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in...  View Details
      Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning
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      Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
      • May 2023
      • Case

      IBM’s Ginni Rometty: Leading with Good Power

      By: Hubert Joly, Leonard A. Schlesinger and Stacy Straaberg
      In March 2023, Virginia (Ginni) Rometty published Good Power: Leading Positive Change in our Lives, Work, and World, which covered her personal history and career at International Business Machines (IBM). Rometty was IBM’s ninth and first woman CEO from 2012–2020. Her...  View Details
      Keywords: Transformation; Acquisition; Trends; Gender; Diversity; Education; Training; Values and Beliefs; Profit; Revenue; Leadership Style; Leading Change; Business or Company Management; Negotiation; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Change and Adaptation; Organizational Culture; Family and Family Relationships; Business and Community Relations; Business and Government Relations; Business and Shareholder Relations; Business and Stakeholder Relations; Personal Characteristics; Perspective; Social Issues; Adaptation; Business Strategy; Commercialization; Competition; Corporate Strategy; Information Infrastructure; Information Technology; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; New York (city, NY); United States
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      Joly, Hubert, Leonard A. Schlesinger, and Stacy Straaberg. "IBM’s Ginni Rometty: Leading with Good Power." Harvard Business School Case 323-114, May 2023.
      • May 2023
      • Article

      Competition in Pricing Algorithms

      By: Zach Y. Brown and Alexander J. MacKay
      We document new facts about pricing technology using high-frequency data, and we examine the implications for competition. Some online retailers employ technology that allows for more frequent price changes and automated responses to price changes by rivals. Motivated...  View Details
      Keywords: Pricing Algorithms; Pricing Frequency; Commitment; Online Competition; Price; Information Technology; Competition
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      Brown, Zach Y., and Alexander J. MacKay. "Competition in Pricing Algorithms." American Economic Journal: Microeconomics 15, no. 2 (May 2023): 109–156.
      • May 2023
      • Article

      Decarbonizing Health Care: Engaging Leaders in Change

      By: Vivian S. Lee, Kathy Gerwig, Emily Hough, Kedar Mate, Robert Biggio and Robert S. Kaplan
      Health care leaders are often surprised to learn that their operations contribute significantly to a warming climate. In addition to their roles as responders to and victims of extreme weather events, health care organizations have an obligation to reduce...  View Details
      Keywords: Health Care; Decarbonization; Carbon Emissions; Net-zero Emissions; Climate Change; Health Care and Treatment; Health Industry
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      Lee, Vivian S., Kathy Gerwig, Emily Hough, Kedar Mate, Robert Biggio, and Robert S. Kaplan. "Decarbonizing Health Care: Engaging Leaders in Change." NEJM Catalyst Innovations in Care Delivery 4, no. 5 (May 2023).
      • May 2023
      • Article

      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
      Keywords: Pay Transparency; Online Labor Market; Privacy; Wage Gap; Corporate Disclosure; Wages; Negotiation
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      Cullen, Zoë B., and Bobak Pakzad-Hurson. "Equilibrium Effects of Pay Transparency." Econometrica 91, no. 3 (May 2023): 765–802. (Lead Article.)
      • May 2023
      • Article

      How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates

      By: Caroline Le Pennec and Vincent Pons
      We use two-round survey data from 62 elections in 10 countries since 1952 to study the formation of vote choice, beliefs, and policy preferences and assess how televised debates contribute to this process. Our data include 253,000 observations. We compare the...  View Details
      Keywords: Political Debates; TV Debates; Voting; Political Elections; Decision Choices and Conditions
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      Le Pennec, Caroline, and Vincent Pons. "How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates." Quarterly Journal of Economics 138 (May 2023): 703–767.
      • 2023
      • Book

      Research Handbook on Digital Strategy

      By: Carmelo Cennamo, Giovanni Battista Dagnino and Feng Zhu
      This state-of-the-art Research Handbook presents a comprehensive overview of the key strategic challenges that firms face when dealing with digital markets, platforms, and products and services, from old strategy questions in need of different solutions to entirely...  View Details
      Keywords: Digital Strategy
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      Cennamo, Carmelo, Giovanni Battista Dagnino, and Feng Zhu, eds. Research Handbook on Digital Strategy. Edward Elgar Publishing, 2023.
      • April 2023
      • Case

      Apple's iPhone Revolution: Pioneering the Circular Economy

      By: George Serafeim
      When asked to identify an example of a circular economy business model that has generated billions in revenues for a company, ChatGPT, the famous chatbot that in 2022 rocked the world with its ability to perform a variety of tasks, immediately identified and...  View Details
      Keywords: Iphone; Smartphone; Waste Management; Recycling; Innovation; Product Upgrade; Product Life Cycle; Sustainability; Climate Impact; Digital; Business Model Innovation; Climate Change; Information Technology; Business Model; Information Technology Industry; Information Technology Industry
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      Serafeim, George. "Apple's iPhone Revolution: Pioneering the Circular Economy." Harvard Business School Case 123-089, April 2023.
      • April 2023
      • Case

      Twitter: The Freedom to Speak Freely and Be Heard

      By: Randolph B. Cohen, Carin-Isabel Knoop and Mel Martin
      In April 2022, serial entrepreneur Elon Musk announced that he would be interested in purchasing the social media site Twitter for $44 billion. With more than 100 million twitter followers, Musk had historically leveraged the site to engage with the customers of his...  View Details
      Keywords: Values and Beliefs; Technology Industry; Communications Industry; Public Relations Industry; United States
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      Cohen, Randolph B., Carin-Isabel Knoop, and Mel Martin. "Twitter: The Freedom to Speak Freely and Be Heard." Harvard Business School Case 223-026, April 2023.
      • 2023
      • Working Paper

      Firm Purpose and Problem Wickedness: A Review of the Academic Literature

      By: Caroline Adelson, Charlotte Kuller, Cate Tompkins, Ellora Sarkar, Samantha Price and Marco Iansiti
      Our understanding of the firm’s role in society has evolved greatly over the past 70 years, with more recent years seeing a sharp rise in interest for how firms can contribute more than profits to society – that is, have a purpose beyond profits. Businesses engaged in...  View Details
      Keywords: Mission and Purpose; Problems and Challenges
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      Adelson, Caroline, Charlotte Kuller, Cate Tompkins, Ellora Sarkar, Samantha Price, and Marco Iansiti. "Firm Purpose and Problem Wickedness: A Review of the Academic Literature." Harvard Business School Working Paper, No. 23-063, April 2023.
      • April 12, 2023
      • Article

      Using AI to Adjust Your Marketing and Sales in a Volatile World

      By: Das Narayandas and Arijit Sengupta
      Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer...  View Details
      Keywords: Forecasting and Prediction; AI and Machine Learning; Consumer Behavior; Technology Adoption; Competitive Advantage
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      Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
      • 2023
      • Working Paper

      Using GPT for Market Research

      By: James Brand, Ayelet Israeli and Donald Ngwe
      Large language models (LLMs) have quickly become popular as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and practitioners who...  View Details
      Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Information Technology Industry; Information Technology Industry
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      Brand, James, Ayelet Israeli, and Donald Ngwe. "Using GPT for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023.
      • April 2023
      • Technical Note

      An Art & A Science: How to Apply Design Thinking to Data Science Challenges

      By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
      We hear it all the time as managers: “what is the data that backs up your decisions?” Even local mom-and-pop shops now have access to complex point-of-sale systems that can closely track sales and customer data. Social media influencers have turned into seven-figure...  View Details
      Keywords: Decision Making; Framework; Analytics and Data Science
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      Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "An Art & A Science: How to Apply Design Thinking to Data Science Challenges." Harvard Business School Technical Note 623-070, April 2023.
      • April 2023
      • Case

      Fizzy Fusion: When Data-Driven Decision Making Failed

      By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
      This is a case about a fictional New York beverage company called Fizzy Fusion. The business is facing supply chain and inventory management challenges with its new product, SparklingSip. Despite seeking help from a data science consulting firm, the machine learning...  View Details
      Keywords: Supply Chain Management; Production; Risk and Uncertainty; Analytics and Data Science; Food and Beverage Industry
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      Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "Fizzy Fusion: When Data-Driven Decision Making Failed." Harvard Business School Case 623-071, April 2023.
      • April 5, 2023
      • Article

      We Need an Operation Warp Speed for Long COVID

      By: Esther K. Choo and Scott Duke Kominers
      With millions of people affected and at least $1 trillion of economic value at stake, long COVID is our next national health emergency.  View Details
      Keywords: COVID; COVID-19; COVID-19 Pandemic; Scientific Research; Policy; Health Policy; Innovation; Science; Public Finance; Public Health; Health Disorders; Health Care and Treatment; Human Capital
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      Choo, Esther K., and Scott Duke Kominers. "We Need an Operation Warp Speed for Long COVID." Scientific American (website) (April 5, 2023).
      • 2023
      • Article

      Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.

      By: Edward McFowland III and Cosma Rohilla Shalizi
      Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its...  View Details
      Keywords: Causal Inference; Homophily; Social Networks; Peer Influence; Social and Collaborative Networks; Power and Influence; Mathematical Methods
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      McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
      • April 2023
      • Article

      Inattentive Inference

      By: Thomas Graeber
      This paper studies how people infer a state of the world from information structures that include additional, payoff-irrelevant states. For example, learning from a customer review about a product’s quality requires accounting for the reviewer’s otherwise irrelevant...  View Details
      Keywords: Cognition and Thinking; Information Types; Behavior; Knowledge Acquisition
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      Graeber, Thomas. "Inattentive Inference." Journal of the European Economic Association 21, no. 2 (April 2023): 560–592.
      • Spring 2023
      • Article

      Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field

      By: Wei Cai, Susanna Gallani and Jee-Eun Shin
      This study examines how the design of incentive contracts for tasks defined as workers’ official responsibilities (i.e., standard tasks) influences workers’ propensity to engage in employee-initiated innovation (EII). EII corresponds to innovation activities that are...  View Details
      Keywords: Employee-initiated Innovation; Contract Design; Rank-and-file; Extra-role Behaviors; Compensation and Benefits; Motivation and Incentives; Innovation and Management
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      Cai, Wei, Susanna Gallani, and Jee-Eun Shin. "Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field." Contemporary Accounting Research 40, no. 1 (Spring 2023): 292–323.
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