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Show Results For
- All HBS Web
(2,016)
- News (385)
- Research (1,295)
- Events (19)
- Multimedia (4)
- Faculty Publications (425)
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- 2019
- Article
Big Data
By: John A. Deighton
Big data is defined and distinguished from a mere moment in the “ancient quest to measure.” Specific discontinuities in the practice of information science are identified that, the paper argues, have large consequences for the social order. The infrastructure that runs... View Details
Keywords: Big Data; Digital Infrastructure; Privacy; Algorithm; Data Generators; Marketplace Icon; Analytics and Data Science; Infrastructure; Power and Influence; Society
Deighton, John A. "Big Data." Consumption, Markets & Culture 22, no. 1 (2019): 68–73.
- March 2021
- Article
The Impact of the General Data Protection Regulation on Internet Interconnection
By: Ran Zhuo, Bradley Huffaker, KC Claffy and Shane Greenstein
The Internet comprises thousands of independently operated networks, where bilaterally negotiated interconnection agreements determine the flow of data between networks. The European Union’s General Data Protection Regulation (GDPR) imposes strict restrictions on... View Details
Keywords: Personal Data; Privacy Regulation; GDPR; Interconnection Agreements; Internet and the Web; Governing Rules, Regulations, and Reforms
Zhuo, Ran, Bradley Huffaker, KC Claffy, and Shane Greenstein. "The Impact of the General Data Protection Regulation on Internet Interconnection." Telecommunications Policy 45, no. 2 (March 2021).
- 2019
- Working Paper
The Impact of the General Data Protection Regulation on Internet Interconnection
By: Ran Zhuo, Bradley Huffaker, KC Claffy and Shane Greenstein
The Internet comprises thousands of independently operated networks, where bilaterally negotiated interconnection agreements determine the flow of data between networks. The European Union’s General Data Protection Regulation (GDPR) imposes strict restrictions on... View Details
Keywords: Personal Data; Privacy Regulation; GDPR; Interconnection Agreements; Internet and the Web; Governing Rules, Regulations, and Reforms; European Union
Zhuo, Ran, Bradley Huffaker, KC Claffy, and Shane Greenstein. "The Impact of the General Data Protection Regulation on Internet Interconnection." NBER Working Paper Series, No. 26481, November 2019.
- 2019
- Article
Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity
By: Maryam Ghasemaghaei and Goran Calic
Anecdotal evidence suggests that, despite the large variety of data, the huge volume of generated data, and the fast velocity of obtaining data (i.e., big data), quality of big data is far from perfect. Therefore, many firms defer collecting and integrating big data as... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity." Decision Support Systems 120 (2019): 38–49.
- December 1996 (Revised November 2006)
- Background Note
General Mills, Inc.: Appendix of Comparable Company Data
By: William J. Bruns Jr.
Financial ratios for comparable companies to be used in conjunction with an analysis of the General Mills Annual Report. View Details
Bruns, William J., Jr. "General Mills, Inc.: Appendix of Comparable Company Data." Harvard Business School Background Note 197-037, December 1996. (Revised November 2006.)
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- 2021
- Working Paper
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
- 06 Jul 2023
- News
How to Train Generative AI Using Your Company’s Data
- December 1996 (Revised August 1998)
- Teaching Note
General Mills, Inc.: Appendix of Comparable Company Data TN
Teaching Note for (9-197-037). View Details
Keywords: Food and Beverage Industry
- 2021
- Working Paper
The Value of Data and Its Impact on Competition
By: Marco Iansiti
Common regulatory perspective on the relationship between data, value, and competition in online platforms has increasingly centered on the volume of data accumulated by incumbent firms. This view posits the existence of "data network effects," where more data leads to... View Details
Keywords: Online Platforms; Data Network Effects; Analytics and Data Science; Value; Competition; Digital Platforms
Iansiti, Marco. "The Value of Data and Its Impact on Competition." Harvard Business School Working Paper, No. 22-002, July 2021.
- Link
Data Files
- 21 Jan 2020
- Working Paper Summaries
The Impact of the General Data Protection Regulation on Internet Interconnection
- Web
Employment Data
Employment Data Employment Data Review HBS Hiring Trends Browse industry, function and location destinations and gain insights around compensation. Class of 2023 Career Data... View Details
- February 2017
- Case
Yemeksepeti: Growing and Expanding the Business Model through Data
By: William R. Kerr, Gamze Yucaoglu and Eren Kuzucu
In October 2016, Nevzat Aydin, co-founder and CEO of Yemeksepeti, the Turkish online food-ordering company, was looking over the company's quarterly results and projections for the upcoming year with his management team. It had been almost a year and a half since Aydin... View Details
Keywords: Entrepreneurial Management; Entrepreneurial Ventures; Turkey; Big Data; Customer Focused Organization; Service Management; Continuous Improvement; Data Analysis; Internet; Growth Strategy; Technological Change; Information Systems; Entrepreneurship; Corporate Strategy; Analytics and Data Science; Analysis; Customer Focus and Relationships; Emerging Markets; Service Operations; Competitive Advantage; Performance Improvement; Internet and the Web; Growth and Development Strategy; Information Technology; Value Creation; Food and Beverage Industry; Turkey
Kerr, William R., Gamze Yucaoglu, and Eren Kuzucu. "Yemeksepeti: Growing and Expanding the Business Model through Data." Harvard Business School Case 817-095, February 2017.
- Teaching Interest
Data Science for Managers
By: Dennis Campbell
Data science has become the new language of business. Many roles across the enterprise in finance, marketing, human resources, operations, innovation, and strategy now rely heavily on data science for important managerial decisions. Given the increasing ubiquity and... View Details
- 11 Aug 2014
- News
Politics and Dirty Data
- Web
Employment Data Trends
Employment Data Trends Employment Data Trends Trends Career Data Internship Data Trends by Industry 2019 2020 2021 2022 2023 Consulting 21% 24%... View Details
- Fast Answer
Insider Data from Thomson Reuters Ownership Data
How do I find insider holding data from Thomson Reuters in WRDS? You can search for insider holdings through Thomson Reuters... View Details
- Fast Answer
Generational demographics
generation. Passport
Global generational demographic reports and data. SimplyAnalytics
Enables creation of maps and tables for the United States that incorporate data such as... View Details
Global generational demographic reports and data. SimplyAnalytics
Enables creation of maps and tables for the United States that incorporate data such as... View Details
- January 1980 (Revised August 1986)
- Case
General Electric vs. Westinghouse in Large Turbine Generators (A)
Describes the U.S. large turbine generator industry in early 1963, a period of severe price cutting and depressed industry conditions. Presents data to allow a structural analysis of the industry and an analysis of the strategies of the major players since 1946. The... View Details
Keywords: Transformation; Customer Focus and Relationships; Machinery and Machining; Cost Management; Price; Management Analysis, Tools, and Techniques; Marketing Strategy; Industry Structures; Competition; Manufacturing Industry; United States
Porter, Michael E. "General Electric vs. Westinghouse in Large Turbine Generators (A)." Harvard Business School Case 380-128, January 1980. (Revised August 1986.)