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(969)
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Show Results For
- All HBS Web
(969)
- News (131)
- Research (716)
- Events (8)
- Multimedia (4)
- Faculty Publications (547)
- November–December 2022
- Article
Your Company Needs a Space Strategy. Now.
By: Matthew Weinzierl, Prithwiraj (Raj) Choudhury, Tarun Khanna, Alan MacCormack and Brendan Rosseau
Space is becoming a potential source of value for businesses across a range of sectors, including agriculture, pharmaceuticals, consumer goods, and tourism. To understand what the opportunities are for your company, the authors advise you to consider the four ways in... View Details
Keywords: Space Strategy; Emerging Markets; Natural Resources; Analytics and Data Science; Organizational Change and Adaptation; Adaptation; Competition; Aerospace Industry
Weinzierl, Matthew, Prithwiraj (Raj) Choudhury, Tarun Khanna, Alan MacCormack, and Brendan Rosseau. "Your Company Needs a Space Strategy. Now." Harvard Business Review (November–December 2022): 80–91.
- Web
Publications - Faculty & Research
treatment... View Details Keywords: Measurement and Metrics ; Mathematical Methods ; Analytics and Data Science ; Agriculture and Agribusiness Industry ; India Citation Read Now Related Cole, Shawn, Tomoko... View Details
- 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
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).
- 2012
- Book
The Culture Cycle: How to Shape the Unseen Force That Transforms Performance
By: James Heskett
The contribution of culture to organizational performance is both substantial and quantifiable. This book presents the results of field research that demonstrates how an effective culture can account for up to half of the differential in performance between... View Details
Keywords: Customer Focus and Relationships; Learning; Framework; Policy; Retention; Books; Analytics and Data Science; Innovation and Invention; Management Practices and Processes; Organizational Culture; Performance Expectations; Research
Heskett, James. The Culture Cycle: How to Shape the Unseen Force That Transforms Performance. Upper Saddle River, NJ: FT Press, 2012.
- Web
Curriculum | MBA
Business School Financial Reporting and Control Harvard Business School Leadership & Organizational Behavior Harvard Business School Marketing Harvard Business School Technology & Operations Management Harvard Business School More on the MBA Required Curriculum JANUARY... View Details
- January 2024 (Revised February 2024)
- Course Overview Note
Managing Customers for Growth: Course Overview for Students
By: Eva Ascarza
Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details
Keywords: Customer Relationship Management; Decision Making; Analytics and Data Science; Growth Management; Telecommunications Industry; Technology Industry; Financial Services Industry; Education Industry; Travel Industry
Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 2024.)
- 2015
- Report
Clusters and Regional Economies: Implications for the Great Lakes - St. Lawrence Region
By: Christian H.M. Ketels
The Great Lakes – St. Lawrence Region, covering eight U.S. states and two Canadian provinces located around the lakes and waterways that have given this region its name, is what economic developers call a 'macro region'. It is an area of intensive economic interaction... View Details
Keywords: Clusters; Regional Policy; Great Lakes; Economic Development; Industry Clusters; Economy; Canada; United States
Ketels, Christian H.M. "Clusters and Regional Economies: Implications for the Great Lakes - St. Lawrence Region." Report, Conference of Great Lakes and St. Lawrence Governors and Premiers, Chicago, IL, August 2015.
- September 2019 (Revised May 2021)
- Case
pymetrics: International Expansion
By: John R. Wells and Benjamin Weinstock
In August 2018, pymetrics, a solution offering neuroscience-based recruiting tests, closed a $40 million funding round that valued the business at $160 million. Over 60 companies around the globe were using pymetrics tests in their recruiting process, including... View Details
Keywords: BrainTech; Psychodynamics; Psychology; Hiring Of Employees; Hiring; Strategic Evolution; Strategy And Execution; Startup; Start-up; Startups; Start-ups; Entrepreneur; Bias; Rapid Growth Stage; Recruitment; Selection and Staffing; Strategy; Business Startups; Employment; Growth and Development Strategy; Global Strategy
Wells, John R., and Benjamin Weinstock. "pymetrics: International Expansion." Harvard Business School Case 720-376, September 2019. (Revised May 2021.)
- 2025
- Working Paper
Data-driven Technologies and Local Information Advantages in Small Business Lending
By: Wilbur Chen, Jung Koo Kang and Aditya Mohan
We investigate whether banks' adoption of data-driven technologies influences competitive dynamics in local small business lending by diminishing the information advantages traditionally held by local banks. Using local newspaper closures as an adverse shock to the... View Details
Keywords: Data-driven Technologies; Local Information Advantages; Local Banks; Relationship Lending; Small Business Loans; Small Business; Local Range; Financing and Loans; Banks and Banking; Analytics and Data Science; Banking Industry
Chen, Wilbur, Jung Koo Kang, and Aditya Mohan. "Data-driven Technologies and Local Information Advantages in Small Business Lending." Harvard Business School Working Paper, No. 25-057, May 2025.
- May 2018 (Revised February 2019)
- Case
The Powers That Be (Internet Edition): Google, Apple, Facebook, Amazon, and Microsoft
By: Jeffrey F. Rayport, Julia Kelley and Nathaniel Schwalb
As of early 2018, five U.S. technology companies—Google, Apple, Facebook, Amazon, and Microsoft—were among the largest companies in the world. Similarly, three Chinese technology firms—Baidu, Alibaba, and Tencent, or BAT—had emerged as global players due in part to the... View Details
Keywords: Internet and the Web; Business Ventures; Customers; Analytics and Data Science; Safety; Corporate Strategy; Competitive Strategy; Technology Industry
Rayport, Jeffrey F., Julia Kelley, and Nathaniel Schwalb. "The Powers That Be (Internet Edition): Google, Apple, Facebook, Amazon, and Microsoft." Harvard Business School Case 818-111, May 2018. (Revised February 2019.)
- 2013
- Working Paper
Span of Control and Span of Attention
By: Oriana Bandiera, Andrea Prat, Raffaella Sadun and Julie Wulf
Using novel data on CEO time use, we document the relationship between the size and composition of the executive team and the attention of the CEO. We combine information about CEO span of control for a sample of 65 companies with detailed data on how CEOs allocate... View Details
Keywords: Conferences; Analytics and Data Science; Leadership Style; Management Style; Managerial Roles; Time Management; Planning
Bandiera, Oriana, Andrea Prat, Raffaella Sadun, and Julie Wulf. "Span of Control and Span of Attention." Harvard Business School Working Paper, No. 12-053, December 2011. (Revised April 2014.)
- May 2005
- Exercise
Forecasting the Adoption of E-books
By: Elie Ofek
Gives students an opportunity to understand the challenges inherent in forecasting the diffusions of innovations. Provides data for forecasting the adoption of electronic books. Students are encouraged to use the Bass Model framework, while being cognizant of its... View Details
Keywords: Forecasting and Prediction; Framework; Books; Analytics and Data Science; Product Launch; Internet and the Web; Technology Adoption
Ofek, Elie. "Forecasting the Adoption of E-books." Harvard Business School Exercise 505-063, May 2005.
- 2021
- Working Paper
Studying the U.S.-Based Portfolio Companies of U.S. Impact Investors
By: M. Diane Burton, Gurveen Chadha, Shawn A. Cole, Abhishek Dev, Christina Jarymowycz, Leslie Jeng, Laura Kelley, Josh Lerner, Jaime R. Diaz Palacios, Yue (Cynthia) Xu and T. Robert Zochowski
Recent years have seen a dramatic increase in the reliance on market-based solutions to social and environmental problems around the world (Barman 2016; Horvath and Powell 2020). The growth of impact investing is a vivid example of this trend and, although there have... View Details
Keywords: Impact Investing; Impact Portfolio Companies; Investment; Social Issues; Environmental Sustainability; Investment Portfolio; Business Ventures; Analytics and Data Science; Performance; United States
Burton, M. Diane, Gurveen Chadha, Shawn A. Cole, Abhishek Dev, Christina Jarymowycz, Leslie Jeng, Laura Kelley, Josh Lerner, Jaime R. Diaz Palacios, Yue (Cynthia) Xu, and T. Robert Zochowski. "Studying the U.S.-Based Portfolio Companies of U.S. Impact Investors." Harvard Business School Working Paper, No. 21-130, June 2021.
- 2023
- Other Article
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- Program
Driving Corporate Performance
are using powerful performance measurement and management control systems to confront some of today's biggest challenges and opportunities, such as improving employee motivation, using AI and data analytics... View Details
Jill J. Avery
Dr. Jill Avery is a Senior Lecturer of Business Administration and C. Roland Christensen Distinguished Management Educator in the marketing unit at Harvard Business School. She is a respected authority on branding and brand management, customer relationship... View Details
Keywords: consumer products; arts; advertising; automobiles; retailing; fashion; hotels ＆ motels; food; beverage
- November 1997 (Revised January 2003)
- Case
Martin Smith: January 2002
By: Josh Lerner
An MBA student must choose between offers from three private equity organizations. Each organization has distinct strengths and weaknesses, and different implications for the student's career development. The case presents compensation and employment data about the... View Details
Keywords: Private Equity; Compensation and Benefits; Analytics and Data Science; Job Offer; Personal Development and Career
Lerner, Josh. "Martin Smith: January 2002." Harvard Business School Case 298-076, November 1997. (Revised January 2003.)
- August 23, 2018
- Article
Using a New EHR System to Increase Patient Engagement, Improve Efficiency, and Decrease Cost
By: Katy French, Barbra Bryce Speer, Alexis B. Guzman, Tayab Andrabi, Iris Recinos, Keith A. Shook, James R. Incalcaterra, John C. Frenzel and Thomas W. Feeley
Patients and providers are frustrated with seemingly endless data entry. We used our patients’ vested interest in their own health care by actively engaging them in the entry of their own medical information into the EHR. Prior to the implementation of the new EHR we... View Details
Keywords: Health Care and Treatment; Analytics and Data Science; Performance Efficiency; Cost Management
French, Katy, Barbra Bryce Speer, Alexis B. Guzman, Tayab Andrabi, Iris Recinos, Keith A. Shook, James R. Incalcaterra, John C. Frenzel, and Thomas W. Feeley. "Using a New EHR System to Increase Patient Engagement, Improve Efficiency, and Decrease Cost." NEJM Catalyst (August 23, 2018).
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
- February 2007 (Revised May 2008)
- Supplement
Bancaja: Developing Customer Intelligence (B)
In 1996, CEO Fernando Garcia Checa wanted to make customer analytics a part of Bancaja's new strategy. Bancaja, a savings bank based in Valencia, Spain, was expanding and wanted to exploit customer information to increase commercial effectiveness. At the same time, it... View Details
Keywords: Customer Relationship Management; Credit Cards; Analytics and Data Science; Knowledge Use and Leverage; Marketing Strategy; Banking Industry; Spain
Martinez-Jerez, Francisco de Asis, and Katherine Miller. "Bancaja: Developing Customer Intelligence (B)." Harvard Business School Supplement 107-066, February 2007. (Revised May 2008.)