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- All HBS Web
(3,706)
- People (2)
- News (631)
- Research (2,397)
- Events (33)
- Multimedia (11)
- Faculty Publications (1,203)
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- Article
Using Internet Data for Economic Research
By: Benjamin Edelman
The data used by economists can be broadly divided into two categories. First, structured datasets arise when a government agency, trade association, or company can justify the expense of assembling records. The Internet has transformed how economists interact with... View Details
Keywords: Data and Data Sets; Research; Internet; Cost Management; Information Management; Factories, Labs, and Plants; Reports; Archives; Surveys; Economics
Edelman, Benjamin. "Using Internet Data for Economic Research." Journal of Economic Perspectives 26, no. 2 (Spring 2012): 189–206.
- October 2023 (Revised April 2024)
- Case
TetraScience: Unlocking the Power of Scientific Data
By: Satish Tadikonda and William Marks
After pivoting from a focus on hardware to a focus on scientific data, TetraScience, led by veteran SaaS executive, Patrick Grady and Founder Spin Wang, has embarked on a journey from nearly cash-out to a player in the scientific data management space. This case... View Details
Keywords: Business Model; Change Management; Entrepreneurship; Information Management; Business Strategy; Market Entry and Exit; Information Technology Industry
Tadikonda, Satish, and William Marks. "TetraScience: Unlocking the Power of Scientific Data." Harvard Business School Case 824-072, October 2023. (Revised April 2024.)
- November 1989 (Revised November 1999)
- Case
Automatic Data Processing: The EFS Decision
By: Robert L. Simons and Hilary Weston
Illustrates how ADP's top management uses formal planning and control systems to establish strategic boundaries for its business units. Top management has developed a detailed list of strategic criteria that ADP managers use to evaluate products and business units, as... View Details
Simons, Robert L., and Hilary Weston. "Automatic Data Processing: The EFS Decision." Harvard Business School Case 190-059, November 1989. (Revised November 1999.)
- 11 May 2021
- Working Paper Summaries
Time Dependency, Data Flow, and Competitive Advantage
- July 2021
- Article
Big Data for Social Benefits: Innovation as a Mediator of the Relationship between Big Data and Corporate Social Performance
By: Goran Calic and Maryam Ghasemaghaei
Over the last decade, the use big data in firms has seen a rapid increase. Whilst scholars have begun to unpack the relationship between big data utilisation and financial performance, significant uncertainty exists about the ethical uses of this new asset. Whether... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Performance Improvement; Organizational Change and Adaptation
Calic, Goran, and Maryam Ghasemaghaei. "Big Data for Social Benefits: Innovation as a Mediator of the Relationship between Big Data and Corporate Social Performance." Journal of Business Research 131 (July 2021): 391–401.
- 2004
- Case
Learning to Manage with Data in Duval County Public Schools: Lake Shore Middle School (A)
By: Allen Grossman, James P. Honan and Caroline Joan King
- 2004
- Case
Learning to Manage with Data in Duval County Public Schools: Lake Shore Middle School (B)
By: Allen Grossman, James P. Honan and Caroline Joan King
- February 2020
- Technical Note
Talent Management and the Future of Work
By: William R. Kerr and Gorick Ng
The nature of work is changing—and it is changing rapidly. Few days go by without industry giants such as Amazon and AT&T announcing plans to invest billions of dollars towards retraining nearly half of their respective workforces for jobs of the future. What changes... View Details
Keywords: Human Resource Management; Human Capital Development; Human Resource Practices; Talent; Talent Acquisition; Talent Development; Talent Development And Retention; Talent Management; Talent Retention; Labor Flows; Labor Management; Labor Market; Strategy Development; Strategy Management; Strategy Execution; Strategy And Execution; Strategic Change; Transformations; Organization; Organization Alignment; Organization Design; Organizational Adaptation; Organizational Effectiveness; Management Challenges; Management Of Business And Political Risk; Change Leadership; Future Of Work; Future; Skills Gap; Skills Development; Skills; Offshoring And Outsourcing; Investment; Capital Allocation; Work; Work Culture; Work Force Management; Work/life Balance; Work/family Balance; Work-family Boundary Management; Workers; Worker Productivity; Worker Performance; Work Engagement; Work Environment; Work Environments; Productivity; Organization Culture; Soft Skills; Technology Management; Technological Change; Technological Change: Choices And Consequences; Technology Diffusion; Disruptive Technology; Global Business; Global; Workplace; Workplace Context; Workplace Culture; Workplace Wellness; Collaboration; Competencies; Productivity Gains; Digital; Digital Transition; Competitive Dynamics; Competitiveness; Competitive Strategy; Data Analytics; Data; Data Management; Data Strategy; Data Protection; Aging Society; Diversity; Diversity Management; Millennials; Communication Complexity; Communication Technologies; International Business; Work Sharing; Global Competitiveness; Global Corporate Cultures; Intellectual Property; Intellectual Property Management; Intellectual Property Protection; Intellectual Capital And Property Issues; Globalization Of Supply Chain; Inequality; Recruiting; Hiring; Hiring Of Employees; Training; Job Cuts And Outsourcing; Job Performance; Job Search; Job Design; Job Satisfaction; Jobs; Employee Engagement; Employee Attitude; Employee Benefits; Employee Compensation; Employee Fairness; Employee Relationship Management; Employee Retention; Employee Selection; Employee Motivation; Employee Feedback; Employee Coordination; Employee Performance Management; Employee Socialization; Process Improvement; Application Performance Management; Stigma; Institutional Change; Candidates; Digital Enterprise; Cultural Adaptation; Cultural Change; Cultural Diversity; Cultural Context; Cultural Strategies; Cultural Psychology; Cultural Reform; Performance; Performance Effectiveness; Performance Management; Performance Evaluation; Performance Appraisal; Performance Feedback; Performance Measurement; Performance Metrics; Performance Measures; Performance Efficiency; Efficiency; Performance Analysis; Performance Appraisals; Performance Improvement; Automation; Artificial Intelligence; Technology Companies; Managerial Processes; Skilled Migration; Assessment; Human Resources; Management; Human Capital; Talent and Talent Management; Retention; Demographics; Labor; Strategy; Change; Change Management; Transformation; Organizational Change and Adaptation; Organizational Culture; Working Conditions; Information Technology; Technology Adoption; Disruption; Economy; Competition; Globalization; AI and Machine Learning; Digital Transformation
Kerr, William R., and Gorick Ng. "Talent Management and the Future of Work." Harvard Business School Technical Note 820-084, February 2020.
- September 2020 (Revised July 2022)
- Exercise
Artea (B): Including Customer-Level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
- 09 Oct 2020
- Working Paper Summaries
Where the Cloud Rests: The Economic Geography of Data Centers
Keywords: by Shane Greenstein and Tommy Pan Fang
- 16 Nov 2010
- Lessons from the Classroom
Data.gov: Matching Government Data with Rapid Innovation
organizations in private industry could learn from the example of Data.gov to the extent of unlocking data from individual silos in their firm even though data remain protected within firewalls. HBS... View Details
- November 2012
- Article
Does Management Really Work?
By: Nicholas Bloom, Raffaella Sadun and John Van Reenen
HBR's 90th anniversary is a sensible time to revisit a basic question: Are organizations more likely to succeed if they adopt good management practices? The answer may seem obvious to most HBR readers, but these three economists cast their net much wider than that. In... View Details
Keywords: Best Practices; Consulting Firms; Corporations; Cost Control; Employee Training; Executive Ability (Management); Executives—training Of; Hospitals—administration; Industrial Management—research; Productivity Incentives; School Management Teams; Work Environment; Management; Research
Bloom, Nicholas, Raffaella Sadun, and John Van Reenen. "Does Management Really Work?" Harvard Business Review 90, no. 11 (November 2012).
- Teaching Interest
Overview
Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
- August 1984
- Article
Kourigyou ni okeru Atarashii Data Kanri System no Kousou: Bumon-betsu ROI no Kaihatsu to Bunseki (A Plan for a New Data Management System in the Retailing Industry)
By: Hirotaka Takeuchi
Takeuchi, Hirotaka. "Kourigyou ni okeru Atarashii Data Kanri System no Kousou: Bumon-betsu ROI no Kaihatsu to Bunseki (A Plan for a New Data Management System in the Retailing Industry)." Hitotsubashi bijinesu rebyū [Hitotsubashi Business Review] (August 1984).
- June 2015 (Revised February 2017)
- Case
Uber and Stakeholders: Managing a New Way of Riding
By: Rosabeth Moss Kanter and Daniel Fox
By 2015, technological innovations—the smartphone and the advanced data connectivity that enabled it—created new opportunities for people to move around cities quickly and conveniently without owning a car, via car-sharing services like Zipcar or new ride-sharing... View Details
Keywords: Uber; Ride-sharing; Sharing Economy; Transportation Network Company; Leadership And Change Management; Stakeholder Management; Managing Change; Leadership; Regulation; Smartphones; Web-enabled Application; Disruptive Technology; Startup Management; Entrepreneurship; Business and Stakeholder Relations; Transportation; Mobile Technology; Transportation Industry; Technology Industry
Kanter, Rosabeth Moss, and Daniel Fox. "Uber and Stakeholders: Managing a New Way of Riding." Harvard Business School Case 315-139, June 2015. (Revised February 2017.)
- February 2010
- Case
Foxwoods: Turning Data into Insights in the Hospitality Industry
By: Lynda M. Applegate and Deborah L. Soule
This case describes how an IT director identified an opportunity and implemented an innovative business solution designed to enable line managers and executives to convert data to information to insights. The case also details how the company partnered with an emerging... View Details
Keywords: Corporate Entrepreneurship; Technological Innovation; Knowledge Use and Leverage; Partners and Partnerships; Information Technology; Entertainment and Recreation Industry; Connecticut
Applegate, Lynda M., and Deborah L. Soule. "Foxwoods: Turning Data into Insights in the Hospitality Industry." Harvard Business School Case 810-083, February 2010.
- 15 May 2017
- Sharpening Your Skills
The Promises and Limitations of Big Data
Source: peterhowell Although many people claim we have entered the era of big data, research firms tell us that most collected information is never used. It sits uncleaned, unanalyzed, unused in databases. But when data analytics is used... View Details
- January 2019 (Revised July 2019)
- Case
New Balance: Managing Orders and Working Conditions
By: Michael W. Toffel, Eileen McNeely and Matthew Preble
New Balance Athletics, Inc., a major U.S.-based athletic footwear and apparel brand, sources most of its footwear products from independent suppliers whose factories are located in China, Indonesia, and Vietnam. Monica Gorman, vice president of responsible leadership... View Details
Keywords: Footwear; Athletic Footwear; Manufacturing; CSR; Sustainability; Quality Management; Supply Chains; Operations; Management; Production; Working Conditions; Corporate Social Responsibility and Impact; Labor and Management Relations; Supply Chain Management; Supply Chain; Order Taking and Fulfillment; Apparel and Accessories Industry; Consumer Products Industry
Toffel, Michael W., Eileen McNeely, and Matthew Preble. "New Balance: Managing Orders and Working Conditions." Harvard Business School Case 619-002, January 2019. (Revised July 2019.)
- 2023
- Working Paper
Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation
By: Sam (Ruiqing) Cao and Marco Iansiti
The increasing availability of data can afford dynamic competitive advantages among data-intensive
corporations, but governance bottlenecks hinder data-driven value creation and increase regulatory risks.
We analyze the role of two technological features of data... View Details
Keywords: Organizations; Information Technology; Performance Productivity; Growth and Development; Transformation
Cao, Sam (Ruiqing), and Marco Iansiti. "Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation." Harvard Business School Working Paper, No. 21-122, May 2021. (Revised November 2023.)
- 2021
- Working Paper
Corporate Environmental Impact: Measurement, Data and Information
By: David Freiberg, DG Park, George Serafeim and T. Robert Zochowski
As an organization’s environmental impact has become a central societal consideration, thereby affecting industry and organizational competitiveness, interest in measuring and analyzing environmental impact has increased. We develop a methodology to derive comparable... View Details
Keywords: Environment; Impact; Measurement; Environmental Ratings; Corporate Valuation; Financial Materiality; Sustainability; Environmental Impact; Environmental Strategy; Impact-Weighted Accounts; IWAI; Environmental Sustainability; Corporate Social Responsibility and Impact; Measurement and Metrics; Valuation
Freiberg, David, DG Park, George Serafeim, and T. Robert Zochowski. "Corporate Environmental Impact: Measurement, Data and Information." Harvard Business School Working Paper, No. 20-098, March 2020. (Revised February 2021.)