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(6,936)
- News (1,270)
- Research (4,463)
- Events (116)
- Multimedia (73)
- Faculty Publications (3,106)
Show Results For
- All HBS Web
(6,936)
- News (1,270)
- Research (4,463)
- Events (116)
- Multimedia (73)
- Faculty Publications (3,106)
- February 2023 (Revised February 2025)
- Case
Doing Business in Athens, Greece
By: Alan D. MacCormack, Carlota Moniz and Emilie Billaud
This case examines the challenges and opportunities of doing business in Greece. It highlights Greece's economic transformation in the decades leading up to 2023 in the context of its history, culture, and politics. The case gives an overview of some of the main... View Details
Keywords: Business and Government Relations; Technological Innovation; Foreign Direct Investment; Economic Growth; Financial Crisis; Technology Industry; Tourism Industry; Shipping Industry; Greece; Athens
MacCormack, Alan D., Carlota Moniz, and Emilie Billaud. "Doing Business in Athens, Greece." Harvard Business School Case 323-100, February 2023. (Revised February 2025.)
- 2025
- Working Paper
Trade Within Multinational Boundaries
By: Laura Alfaro, Paola Conconi, Fariha Kamal and Zachary Kroff
We leverage newly linked data from the U.S. Census Bureau and the U.S. Bureau of Economic Analysis to study transactions within U.S. multinational enterprises (MNEs). We show that using administrative data on intrafirm trade allows us to correct for measurement error... View Details
Keywords: Multinational Enterprise; Input-output Linkages; Multinational Firms and Management; Trade; Supply Chain
Alfaro, Laura, Paola Conconi, Fariha Kamal, and Zachary Kroff. "Trade Within Multinational Boundaries." Harvard Business School Working Paper, No. 25-058, May 2025.
- 2019
- White Paper
Impact-Weighted Financial Accounts: The Missing Piece for an Impact Economy
By: George Serafeim, T. Robert Zochowski and Jennifer Downing
Reimagining capitalism is an imperative. We need to create a more inclusive and sustainable form of capitalism that works for every person and the planet. Massive environmental damage, growing income and wealth disparity, stress, and depression within developed... View Details
Keywords: Impact-Weighted Accounts; IWAI; Background; Economic Systems; Economy; Corporate Social Responsibility and Impact; Measurement and Metrics; Financial Statements
Serafeim, George, T. Robert Zochowski, and Jennifer Downing. "Impact-Weighted Financial Accounts: The Missing Piece for an Impact Economy." White Paper, Harvard Business School, Boston, MA, September 2019.
- 13 Nov 2014
- News
Network Admins Wanted: New Ideas for Filling 'Middle-Skill' Jobs
- Article
Fast Subset Scan for Multivariate Spatial Biosurveillance
By: Daniel B. Neill, Edward McFowland III and Huanian Zheng
We present new subset scan methods for multivariate event detection in massive space-time datasets. We extend the recently proposed 'fast subset scan' framework from univariate to multivariate data, enabling computationally efficient detection of irregular space-time... View Details
Neill, Daniel B., Edward McFowland III, and Huanian Zheng. "Fast Subset Scan for Multivariate Spatial Biosurveillance." Statistics in Medicine 32, no. 13 (June 15, 2013): 2185–2208.
- January 1999 (Revised March 1999)
- Case
Currency Crises
Briefly describes six historical currency crises. Presents actual data on 11 disguised countries and asks students to consider which is most likely to experience a crisis. View Details
Kennedy, Robert E., and Brian Irwin. "Currency Crises." Harvard Business School Case 799-088, January 1999. (Revised March 1999.)
- 09 Jun 2015
- News
The Transparency Revolution
- 17 Oct 2019
- Working Paper Summaries
Persuasion by Populist Propaganda: Evidence from the 2015 Argentine Ballotage
- 2023
- Working Paper
Global Supply Chains: The Looming 'Great Reallocation'
By: Laura Alfaro and Davin Chor
Global supply chains have come under unprecedented stress as a result of U.S.-China trade tensions, the COVID-19 pandemic, and geopolitical shocks. We document shifts in the pattern of U.S. participation in global value chains over the last four decades, in terms of... View Details
Alfaro, Laura, and Davin Chor. "Global Supply Chains: The Looming 'Great Reallocation'." Harvard Business School Working Paper, No. 24-012, August 2023. (in proceedings Jackson Hole Symposium, 2023 (also NBER WP 31661). See feature in NBER Digest, Nov (2023): Economics, Politics, and the Evolution of Global Supply Chains.)
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- February 2014
- Case
BGI: Data-driven Research
By: Willy Shih and Sen Chai
BGI has the largest installed gene-sequencing capacity in the world, and to Zhang Gengyun, general manager of the Life Sciences Division, this represented an opportunity to apply his training as a plant breeder and his early career work as a biochemist to improving... View Details
Keywords: Genomics; Gene Sequencing; Life Sciences; Plant Breeding; Human Genome Program; Beijing Genomics Institute; BGI; Rice Genome; Technological Innovation; Innovation Strategy; Research; Research and Development; Science; Genetics; Science-Based Business; Strategy; Commercialization; Corporate Strategy; Information Technology; Applications and Software; Agriculture and Agribusiness Industry; Biotechnology Industry; Food and Beverage Industry; China; United States
Shih, Willy, and Sen Chai. "BGI: Data-driven Research." Harvard Business School Case 614-056, February 2014.
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
- March 2005 (Revised March 2006)
- Background Note
Activity-Based Costing and Capacity
By: Robert S. Kaplan
Discusses the use of budgeted rather than historical data in an activity-based costing (ABC) model and argues for calculating rates using practical capacity, not actual utilization. An ABC model need not be limited to analysis of historical data. When cost driver rates... View Details
Kaplan, Robert S. "Activity-Based Costing and Capacity." Harvard Business School Background Note 105-059, March 2005. (Revised March 2006.)
- Article
Why Every Organization Needs an Augmented Reality Strategy
By: Michael E. Porter and James E. Heppelmann
While the physical world is three-dimensional, most data is trapped on two-dimensional pages and screens. This gulf between the real and digital worlds prevents us from fully exploiting the volumes of information now available to us. Augmented reality (AR), a set of... View Details
Keywords: Technological Innovation; Innovation Strategy; Organizational Change and Adaptation; Performance Effectiveness
Porter, Michael E., and James E. Heppelmann. "Why Every Organization Needs an Augmented Reality Strategy." Harvard Business Review 95, no. 6 (November–December 2017): 46–57.
- Web
Curriculum | MBA
likely in the life sciences or biotech space. Capstone Overview First Year AUGUST Harvard Business School Online CORe Harvard Business School NextGen Biotechnology Harvard Department of Stem Cell and Regenerative Biology FALL TERM Data... View Details
- 2023
- Chapter
Inflation and Misallocation in New Keynesian Models
By: Alberto Cavallo, Francesco Lippi and Ken Miyahara
The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details
Cavallo, Alberto, Francesco Lippi, and Ken Miyahara. "Inflation and Misallocation in New Keynesian Models." In ECB Forum on Central Banking 26-28 June 2023, Sintra, Portugal: Macroeconomic Stabilisation in a Volatile Inflation Environment. European Central Bank, 2023.
- 18 Aug 2016
- Working Paper Summaries
Immigrant Entrepreneurship
Keywords: by Sari Pekkala Kerr and William R. Kerr
- Article
Matching Firms, Managers, and Incentives
By: Oriana Bandiera, Luigi Guiso, Andrea Prat and Raffaella Sadun
We combine unique administrative and survey data to study the match between firms and managers. The data include manager characteristics, firm characteristics, detailed measures of managerial practices, and outcomes for the firm and the manager. A parsimonious model of... View Details
Bandiera, Oriana, Luigi Guiso, Andrea Prat, and Raffaella Sadun. "Matching Firms, Managers, and Incentives." Journal of Labor Economics 33, no. 3 (July 2015): 623–681.
"Using Models to Persuade"
We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs.... View Details