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Show Results For
- All HBS Web
(3,338)
- People (1)
- News (564)
- Research (2,293)
- Events (31)
- Multimedia (9)
- Faculty Publications (1,163)
- 01 Jun 2023
- News
Bridging the ESG Data Gap
interdisciplinary perspectives required to create practical climate solutions,” she explains. As Metric’s customer base expands, providing a one-stop shop for ESG and impact data management is Murday’s goal.... View Details
Keywords: Deborah Blagg
- 11 May 2021
- Working Paper Summaries
Time Dependency, Data Flow, and Competitive Advantage
- 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.)
- 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.
- December 2013
- Article
How Google Sold Its Engineers on Management
By: David A. Garvin
High-performing knowledge workers often question whether managers actually contribute much, especially in a technical environment. Until recently, that was the case at Google, a company filled with self-starters who viewed management as more destructive than beneficial... View Details
Keywords: Organizational Behavior; Human Resource Management; Managing Change; Organizational Change; Analytics; Management; Leadership; Human Resources; Talent and Talent Management
Garvin, David A. "How Google Sold Its Engineers on Management." R1312D. Harvard Business Review 91, no. 12 (December 2013): 74–82.
- 18 Jun 2013
- News
Data is Worthless if You Don't Communicate It
- Web
Data Practices - Research Computing Services
Scraping Power Analysis Causal Inference Missing Data Other Data Resources Data Repositories Harvard Dataverse at IQSS Baker Library Databases Center for Geographic Analysis at... View Details
- 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.
- 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.)
- 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
- 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.
- 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
- 11 Oct 2018
- News
Baseball’s Billy Beane Shows Companies the Power of Data
- 09 Oct 2020
- Working Paper Summaries
Where the Cloud Rests: The Economic Geography of Data Centers
Keywords: by Shane Greenstein and Tommy Pan Fang
- September 2016 (Revised May 2018)
- Case
Zurich Insurance: Fostering People Management Practices
By: Boris Groysberg and Katherine Connolly
Zurich Insurance was undergoing organizational change after implementing five new people practices focused on manager development, diversity and inclusion, job model and data analytics, recruitment, and talent pipeline. The case provides background for the company, as... View Details
Keywords: Managing Change; Organizational Behavior; Diversity Management; Organizational Architecture; Recruiting; Succession Planning; Management; Organizational Culture; Organizational Change and Adaptation; Leading Change; Human Capital; Human Resources; Insurance; Leadership; Diversity; Organizational Structure; Recruitment; Management Succession; Insurance Industry
Groysberg, Boris, and Katherine Connolly. "Zurich Insurance: Fostering People Management Practices." Harvard Business School Case 417-035, September 2016. (Revised May 2018.)
- Web
Historical Data Visualization - Business History
Historical Data Visualization To facilitate understanding the history of global capitalism in its broad societal context, this tool provides historical data on broad economic, social and political trends... View Details
- 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
- 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).
- Fast Answer
Industries: financial analytical data and tools
Where can I find aggregate data on specific industries? An increasing number of databases are now available on the market to support the financial data analytical needs of bankers and financial... View Details
- 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