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  • All HBS Web  (1,382)
    • News  (130)
    • Research  (1,031)
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Show Results For

  • All HBS Web  (1,382)
    • News  (130)
    • Research  (1,031)
    • Events  (12)
    • Multimedia  (2)
  • Faculty Publications  (509)
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  • 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
Keywords: Business Conglomerates; Analytics and Data Science; Food and Beverage Industry
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Bruns, William J., Jr. "General Mills, Inc.: Appendix of Comparable Company Data." Harvard Business School Background Note 197-037, December 1996. (Revised November 2006.)
  • 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
  • Fast Answer

Resources for Investment Management and Financial Analysis

instructions available in Knowledge Base. Individual account required. Please see More Info page for instructions on signing up for an account. Morningstar Direct Multi-currency research platform that provides performance and holdings View Details
  • 2010
  • Working Paper

The Unbundling of Advertising Agency Services: An Economic Analysis

By: Mohammad Arzaghi, Ernst R. Berndt, James C. Davis and Alvin J. Silk
We address a longstanding puzzle surrounding the unbundling of services occurring over several decades in the U.S. advertising agency industry: What accounts for the shift from bundling to unbundling of services and the slow pace of change? Using Evans and Salinger's... View Details
Keywords: Advertising; Change; Forecasting and Prediction; Cost; Price; Analytics and Data Science; Surveys; Marketing Strategy; Media; Service Operations; Agency Theory; Mathematical Methods; Advertising Industry; United States
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Arzaghi, Mohammad, Ernst R. Berndt, James C. Davis, and Alvin J. Silk. "The Unbundling of Advertising Agency Services: An Economic Analysis." Harvard Business School Working Paper, No. 11-039, September 2010.
  • Mar 2020
  • Conference Presentation

A New Analysis of Differential Privacy's Generalization Guarantees

By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
Keywords: Machine Learning; Transfer Theorem; Mathematical Methods
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Jung, Christopher, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Moshe Shenfeld. "A New Analysis of Differential Privacy's Generalization Guarantees." Paper presented at the 11th Innovations in Theoretical Computer Science Conference, Seattle, March 2020.
  • June 2016
  • Article

Understanding Online Hotel Reviews Through Automated Text Analysis

By: Shawn Mankad, Hyunjeong "Spring" Han, Joel Goh and Srinagesh Gavirneni
Customer reviews submitted at Internet travel portals are an important yet underexplored new resource in obtaining feedback on customer experience for the hospitality industry. These data are often voluminous and unstructured, presenting analytical challenges for... View Details
Keywords: Hotel Reviews; Natural Language Processing; Information Technology; Service Operations; Accommodations Industry; Moscow
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Mankad, Shawn, Hyunjeong "Spring" Han, Joel Goh, and Srinagesh Gavirneni. "Understanding Online Hotel Reviews Through Automated Text Analysis." Service Science 8, no. 2 (June 2016): 124–138.
  • 2012
  • Article

The Internalization of Advertising Services: An Inter-Industry Analysis

By: Sharon Horsky, Steven C. Michael and Alvin J. Silk
This study investigates the extent to which U.S. advertisers use in-house rather than independent advertising agencies and examines inter-industry variation in such internalization. Contrary to the widely held impression that use of an in-house advertising agency is... View Details
Keywords: Advertisers; In-house Advertising; Inter-industry Variation; Internalization; Scale Economies; Transaction Costs; Vertical Integration; Advertising Costs; Creative Industries; Marketing Strategy; Advertising Industry; Europe; North and Central America
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Horsky, Sharon, Steven C. Michael, and Alvin J. Silk. "The Internalization of Advertising Services: An Inter-Industry Analysis." Review of Marketing Science 10, no. 1 (2012).
  • 2019
  • Article

Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights

By: Maryam Ghasemaghaei and Goran Calic
Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details
Keywords: Analytics and Data Science; Innovation and Invention; Learning
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Ghasemaghaei, Maryam, and Goran Calic. "Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights." Journal of Business Research 104 (2019): 69–84.
  • Web

Data - Institute For Strategy And Competitiveness

performance of more than 150 nations across 46 clusters of goods and services export activity. This powerful approach reveals emerging patterns and strengths in a nation's competitive trade position. The analysis can be tailored to focus... View Details
  • August 2017 (Revised December 2018)
  • Case

Tamarin App: Natural Language Processing

By: Srikant M. Datar and Caitlin N. Bowler
In this case, students explore the challenges of using sentiment analysis to monitor and understand public perception around a software application, Tamarin SEO App. Technical topics include building a filtering classifier using naive Bayes and sentiment analysis This... View Details
Keywords: Data Science; Branding; Data Analytics; Analytics and Data Science; Brands and Branding; Analysis; Perception; Planning
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Datar, Srikant M., and Caitlin N. Bowler. "Tamarin App: Natural Language Processing." Harvard Business School Case 118-015, August 2017. (Revised December 2018.)
  • 21 Nov 2008
  • Working Paper Summaries

Applicant and Examiner Citations in U.S. Patents: An Overview and Analysis

Keywords: by Juan Alcacer
  • April 2020
  • Article

Long-term Firm Growth: An Empirical Analysis of U.S. Manufacturers 1959–2015

By: Giovanni Dosi, Marco Grazzi, Daniele Moschella, Gary P. Pisano and Federico Tamagni
Firm growth is an essential feature of market economies, shaping together macroeconomic performance and the evolution of industry structures. As a potential indicator of organizational “fitness” within a competitive environment, firm growth is also a central concern to... View Details
Keywords: Firm Growth; Organizations; Growth and Development; Theory; Analysis; Production; Data and Data Sets
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Dosi, Giovanni, Marco Grazzi, Daniele Moschella, Gary P. Pisano, and Federico Tamagni. "Long-term Firm Growth: An Empirical Analysis of U.S. Manufacturers 1959–2015." Industrial and Corporate Change 29, no. 2 (April 2020): 309–332.
  • 09 Apr 2014
  • Working Paper Summaries

Visualizing and Measuring Software Portfolio Architectures: A Flexibility Analysis

Keywords: by Robert Lagerstrom, Carliss Y. Baldwin, Alan MacCormack & David Dreyfus; Video Game; Web Services

    A New Analysis of Differential Privacy’s Generalization Guarantees

    We give a new proof of the “transfer theorem” underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
    • August 2020
    • Technical Note

    Comparing Two Groups: Sampling and t-Testing

    By: Iavor I Bojinov, Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih and Michael W. Toffel
    This note describes sampling and t-tests, two fundamental statistical concepts. View Details
    Keywords: Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Analytics and Data Science; Analysis; Surveys; Mathematical Methods
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    Bojinov, Iavor I., Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih, and Michael W. Toffel. "Comparing Two Groups: Sampling and t-Testing." Harvard Business School Technical Note 621-044, August 2020.
    • August 2005 (Revised April 2008)
    • Teaching Note

    GuestFirst Hotel (B): Statistics Review with Data Desk (TN)

    By: Frances X. Frei
    Presents an overview of the statistical analysis covered in the case discussion. View Details
    Keywords: Mathematical Methods; Accommodations Industry
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    Frei, Frances X. "GuestFirst Hotel (B): Statistics Review with Data Desk (TN)." Harvard Business School Teaching Note 606-039, August 2005. (Revised April 2008.)
    • August, 2022
    • Article

    Billing and Insurance-Related Administrative Costs: A Cross-National Analysis

    By: Barak D. Richman, Robert S. Kaplan, Japees Kohli, Dennis Purcell, Mahek Shah, Igna Bonfrer, Brian Golden, Rosemary Hannam, Will Mitchell, Daniel Cehic, Garry Crispin and Kevin A. Schulman
    Billing and insurance-related costs are a significant source of wasteful health care spending in Organization for Economic Cooperation and Development nations, but these administrative burdens vary across national systems. We executed a microlevel accounting of these... View Details
    Keywords: Health Care Costs; Administrative Costs; Cost; Health Care and Treatment; Health Industry
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    Richman, Barak D., Robert S. Kaplan, Japees Kohli, Dennis Purcell, Mahek Shah, Igna Bonfrer, Brian Golden, Rosemary Hannam, Will Mitchell, Daniel Cehic, Garry Crispin, and Kevin A. Schulman. "Billing and Insurance-Related Administrative Costs: A Cross-National Analysis." Health Affairs 41, no. 8 (August, 2022): 1098–1106.
    • Article

    Evaluating and Managing Tramp Shipping Lines Performances: A New Methodology Combining Balanced Scorecard and Network DEA

    By: Ying-Chen Hsu, Cheng-Chi Chung, Hsuan-Shih Lee and H. David Sherman
    The shipping industry is essential for the economic development of nations like Taiwan as a means delivering and receiving cargo. Shipping has been depressed since 2008 as a result of the financial crisis increasing pressure for the shipping lines to operate more... View Details
    Keywords: Network Data Envelopment Analysis; Shipping Line; Centralized Approach; Cross-efficiency; Balanced Scorecard; Performance Evaluation
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    Hsu, Ying-Chen, Cheng-Chi Chung, Hsuan-Shih Lee, and H. David Sherman. "Evaluating and Managing Tramp Shipping Lines Performances: A New Methodology Combining Balanced Scorecard and Network DEA." INFOR: Information Systems and Operational Research 51, no. 3 (August 2013): 130–141.
    • 2008
    • Working Paper

    The Internalization of Advertising Services: An Inter-Industry Analysis

    By: Sharon Horsky, Steven C. Michael and Alvin J. Silk
    The common perception appears to be that vertical integration of advertising services is more the exception than the rule in the U.S. advertising industry. This study investigates the extent of such outsourcing and examines inter-industry variation in the use of... View Details
    Keywords: Advertising; Cost; Analytics and Data Science; Management Analysis, Tools, and Techniques; Service Operations; Creativity; Perception; Vertical Integration; Information Technology; Advertising Industry; United States
    Citation
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    Horsky, Sharon, Steven C. Michael, and Alvin J. Silk. "The Internalization of Advertising Services: An Inter-Industry Analysis." Harvard Business School Working Paper, No. 09-007, July 2008.
    • Article

    DEA Model with Shared Resources and Efficiency Decomposition

    By: Yao Chen, Juan Du, H. David Sherman and Joe Zhu
    Data envelopment analysis (DEA) has proved to be an excellent approach for measuring performance of decision making units (DMUs) that use multiple inputs to generate multiple outputs. In many real world scenarios, DMUs have a two-stage network process with shared input... View Details
    Keywords: Data Envelopment Analysis (DEA); Efficiency; Intermediate Measure; Performance Efficiency
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    Chen, Yao, Juan Du, H. David Sherman, and Joe Zhu. "DEA Model with Shared Resources and Efficiency Decomposition." European Journal of Operational Research 207, no. 1 (November 2010): 339–349.
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