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  • All HBS Web  (1,142)
    • News  (210)
    • Research  (844)
    • Events  (12)
    • Multimedia  (2)
  • Faculty Publications  (324)

Show Results For

  • All HBS Web  (1,142)
    • News  (210)
    • Research  (844)
    • Events  (12)
    • Multimedia  (2)
  • Faculty Publications  (324)
← Page 7 of 1,142 Results →
  • 2020
  • Book

The Power of Experiments: Decision-Making in a Data-Driven World

By: Michael Luca and Max H. Bazerman
Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of changes to an... View Details
Keywords: Experiments; Randomized Controlled Trials; Organizations; Decision Making; Analytics and Data Science; Management Analysis, Tools, and Techniques
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Luca, Michael, and Max H. Bazerman. The Power of Experiments: Decision-Making in a Data-Driven World. Cambridge, MA: MIT Press, 2020.
  • June 2012
  • Article

The Transparency Paradox: A Role for Privacy in Organizational Learning and Operational Control

By: Ethan S. Bernstein
Using data from embedded participant-observers and a field experiment at the second largest mobile phone factory in the world, located in China, I theorize and test the implications of transparent organizational design on workers' productivity and organizational... View Details
Keywords: Transparency; Privacy; Organizational Learning; Operational Control; Organizational Performance; Chinese Manufacturing; Field Experiment; Rights; Interpersonal Communication; Management Practices and Processes; Ethics; Corporate Disclosure; Performance Productivity; Boundaries; Organizations; Social and Collaborative Networks; Labor and Management Relations; Power and Influence; Manufacturing Industry; China
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Bernstein, Ethan S. "The Transparency Paradox: A Role for Privacy in Organizational Learning and Operational Control." Administrative Science Quarterly 57, no. 2 (June 2012): 181–216.
  • 12 Oct 1999
  • Research & Ideas

Decoding the DNA of the Toyota Production System

specification, it is establishing a hypothesis that is then tested through action. This approach — the scientific method—is not imposed on workers, it's ingrained in them. And it stimulates them to engage in the kind of experimentation... View Details
Keywords: by H. Kent Bowen & Steven Spear; Manufacturing; Transportation; Auto
  • 2020
  • Book

Experimentation Works: The Surprising Power of Business Experiments

By: Stefan Thomke
Don’t fly blind. See how the power of experiments works for you. When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition,... View Details
Keywords: Experimentation; Experiments; Market Research; Innovation and Invention; Innovation and Management; Customers; Research
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Thomke, Stefan. Experimentation Works: The Surprising Power of Business Experiments. Boston, MA: Harvard Business Review Press, 2020.

    "Learning Through Noticing: Theory and Evidence from a Field Experiment"

    We consider a model of technological learning under which people "learn through noticing": they choose which input dimensions to attend to and subsequently learn about from available data. Using this model, we show how people with a great deal of experience may... View Details
    • June 2010
    • Article

    What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns

    By: Glenn Ellison, Edward Glaeser and William R. Kerr
    Why do firms cluster near one another? We test Marshall's theories of industrial agglomeration by examining which industries locate near one another, or coagglomerate. We construct pairwise coagglomeration indices for US manufacturing industries from the Economic... View Details
    Keywords: Production; Economics; Industry Clusters; Analytics and Data Science; Labor; Theory; Goods and Commodities; United States; United Kingdom
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    Ellison, Glenn, Edward Glaeser, and William R. Kerr. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns." American Economic Review 100, no. 3 (June 2010): 1195–1213.
    • 03 Apr 2019
    • News

    Can Mark Zuckerberg Rebuild Trust in Facebook?

    • 18 May 2007
    • Working Paper Summaries

    An Empirical Approach to Understanding Privacy Valuation

    Keywords: by Luc Wathieu & Allan Friedman
    • 2024
    • Working Paper

    Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization

    By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
    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
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    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.
    • Research Summary

    4. Collaborative Brokerage, Generative Creativity, and Creative Success

    Joint work with Lee Fleming (Technology and Operations Management Unit, Harvard Business School) and David Chen (Doctoral Candidate, Harvard Business School and Harvard School of... View Details
    • March–April 2020
    • Article

    Building A Culture of Experimentation

    By: Stefan Thomke
    Why don’t organizations test more? After examining this question for several years, I can tell you that the central reason is culture. As companies try to scale up their experimentation capacity, they often find that the obstacles are not tools and technology but... View Details
    Keywords: Experimentation; Culture; Innovation; Online; Customer Experience; Organizational Culture; Innovation and Invention; Internet and the Web; Attitudes; Decision Making; Change; Leadership
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    Thomke, Stefan. "Building A Culture of Experimentation." Harvard Business Review 98, no. 2 (March–April 2020): 40–48.
    • Research Summary

    Antecedents and Consequences of Trust in Interorganizational Relations: An International Comparison

    The objective of this research project is to build from the conceptual development described above and test the sources and effects of trust in a different empirical setting. The level of analysis is also interorganizational but narrowed to the level of a specific... View Details
    • September 2023
    • Supplement

    Design and Evaluation of Targeted Interventions

    By: Eva Ascarza
    Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
    Keywords: Marketing; Design; Business Strategy; Policy; Retail Industry; Apparel and Accessories Industry; Technology Industry; Financial Services Industry; Telecommunications Industry
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    Ascarza, Eva. "Design and Evaluation of Targeted Interventions." Harvard Business School Spreadsheet Supplement 524-703, September 2023.
    • October 2023 (Revised February 2024)
    • Technical Note

    Design and Evaluation of Targeted Interventions

    By: Eva Ascarza and Ta-Wei (David) Huang
    Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
    Keywords: Marketing; Customer Relationship Management; Analysis; Design; Business Strategy; Retail Industry; Apparel and Accessories Industry; Technology Industry; Financial Services Industry; Telecommunications Industry
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    Ascarza, Eva, and Ta-Wei (David) Huang. "Design and Evaluation of Targeted Interventions." Harvard Business School Technical Note 524-034, October 2023. (Revised February 2024.)
    • 10 Feb 2020
    • In Practice

    6 Ways That Emerging Technology Is Disrupting Business Strategy

    on master plans and involved time horizons measured in decades. Now, online platforms, algorithms, and ubiquitous data allow firms to test these decisions quickly, sometimes in a matter of months or weeks.... View Details
    Keywords: by Danielle Kost
    • July 2024
    • Article

    The Home State Effect: How Subnational Governments Shape Climate Coalitions

    By: Jonas Meckling and Samuel Trachtman
    Organized business interests often seek to block public interest regulations. But whether firms oppose regulation depends on institutional context. We argue that, in federal systems, sub-national policies and politics can have a home state effect on firms' national... View Details
    Keywords: Local Range; Governing Rules, Regulations, and Reforms; Business and Government Relations
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    Meckling, Jonas, and Samuel Trachtman. "The Home State Effect: How Subnational Governments Shape Climate Coalitions." Governance 37, no. 3 (July 2024): 887–905.
    • 09 Dec 2019
    • Research & Ideas

    Identify Great Customers from Their First Purchase

    Testing data on 13,000 shoppers To show how the model works, Ascarza and Padilla fed it some customer data supplied by an international retailer that sells its own brand of... View Details
    Keywords: by Kristen Senz; Retail; Service
    • 25 Mar 2021
    • Research & Ideas

    Steer Clear of the Blind Spots That Derail Experiments

    says Luca, the Lee J. Styslinger III Associate Professor of Business Administration. “They can’t rely on data scientists alone.” Experiments have come to have an outsize influence within tech companies from Uber to Zillow, which View Details
    Keywords: by Danielle Kost
    • 2016
    • Working Paper

    Reviews, Reputation, and Revenue: The Case of Yelp.com

    By: Michael Luca
    Do online consumer reviews affect restaurant demand? I investigate this question using a novel dataset combining reviews from the website Yelp.com and restaurant data from the Washington State Department of Revenue. Because Yelp prominently displays a restaurant's... View Details
    Keywords: Revenue; Network Effects; Reputation; Social and Collaborative Networks; Food and Beverage Industry; Service Industry; Washington (state, US)
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    Luca, Michael. "Reviews, Reputation, and Revenue: The Case of Yelp.com." Harvard Business School Working Paper, No. 12-016, September 2011. (Revised March 2016.)
    • Research Summary

    Inflation, Openness, and Exchange-Rate Regimes. The Quest for Short-Term Commitment

    By: Laura Alfaro
    This paper further tests Romers (1993) extension of Kydland and Prescotts (1977) predictions on dynamic-inconsistency problems with regard to open economies. In a panel data set, I find that openness does not seem to play a role in the short run in restricting... View Details
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