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  • All HBS Web  (3,906)
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    • News  (764)
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  • All HBS Web  (3,906)
    • People  (27)
    • News  (764)
    • Research  (2,302)
    • Events  (26)
    • Multimedia  (3)
  • Faculty Publications  (868)
← Page 11 of 3,906 Results →
  • 16 Aug 2004
  • Research & Ideas

Luxury Isn’t What It Used to Be

refreshing their product lines and extending their brand to more affordable items. Pressure to innovate is intense, says HBS professor Nancy F. Koehn, a business historian and author of Brand New: How... View Details
Keywords: by Julia Hanna; Consumer Products
  • July 2001
  • Technical Note

Technical Note on LBO Valuation (B): The Equity Cash Flow Method of Valuation using CAPM

By: Carliss Y. Baldwin
Explains the equity cash flow method of valuation as it applies to leveraged buyouts. Also explains how to implement the changing cost of equity method using the CAPM. View Details
Keywords: Leveraged Buyouts; Forecasting and Prediction; Cash Flow; Cost of Capital; Equity; Valuation
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Baldwin, Carliss Y. "Technical Note on LBO Valuation (B): The Equity Cash Flow Method of Valuation using CAPM." Harvard Business School Technical Note 902-005, July 2001.
  • 2020
  • Working Paper

Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective

By: Srikant Datar, Apurv Jain, Charles C.Y. Wang and Siyu Zhang
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science
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Datar, Srikant, Apurv Jain, Charles C.Y. Wang, and Siyu Zhang. "Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective." Harvard Business School Working Paper, No. 21-113, December 2020.
  • Web

Finding & Using | Baker Library

Finding & Using Our manuscript, archival, and print collections make up one of the largest repositories of business-related special collections in the world. Students, scholars, View Details
  • July–August 2024
  • Article

Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals

By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response, which requires identifying differences in customer sensitivity, typically through the conditional average treatment effect (CATE) estimation. In theory, to... View Details
Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
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Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
  • 04 Sep 2007
  • Research & Ideas

Jumpstarting Innovation: Using Disruption to Your Advantage

able—and willing—to pay. The following guidelines can help you leverage disruption to turn ideas into opportunities to create sustainable business advantage. Listen to—and learn from—the market: Identify sources of significant problems... View Details
Keywords: by Lynda M. Applegate
  • June 2024 (Revised August 2024)
  • Case

Revlon India's Turnaround: Navigating Online-Offline Decisions Using a Balanced Scorecard

By: Tatiana Sandino and Samuel Grad
Revlon India was founded as a joint venture in 1995, pairing the industrial conglomerate UMG with the global beauty brand Revlon, Inc. to bring international color cosmetics to India. After growing rapidly and pioneering the Beauty Advisor (BA) model in India, the... View Details
Keywords: Balanced Scorecard; Restructuring; Training; Supply Chain Management; Distribution; E-commerce; Business Model; Business Plan; Decision Choices and Conditions; Marketing Strategy; Alignment; Brands and Branding; Negotiation; Joint Ventures; Strategic Planning; Salesforce Management; Competition; Beauty and Cosmetics Industry; Beauty and Cosmetics Industry; Beauty and Cosmetics Industry; India
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Sandino, Tatiana, and Samuel Grad. "Revlon India's Turnaround: Navigating Online-Offline Decisions Using a Balanced Scorecard." Harvard Business School Case 124-107, June 2024. (Revised August 2024.)
  • March 27, 2025
  • Article

How One Company Used AI to Broaden Its Customer Base

By: Sunil Gupta and Frank V. Cespedes
The software company SAP successfully leveraged AI tools to begin selling to the small and medium enterprises (SMEs) market, which had previously been uneconomical for its in-person sales approach. By mapping the customer journey and deploying over 40 AI tools, SAP... View Details
Keywords: AI and Machine Learning; Sales; Business Strategy; Market Entry and Exit
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Gupta, Sunil, and Frank V. Cespedes. "How One Company Used AI to Broaden Its Customer Base." Harvard Business Review (website) (March 27, 2025).

    The Sales Acceleration Formula: Using Data, Technology, and Inbound Selling to go from $0 to $100 Million

    The Sales Acceleration Formula provides a scalable, predictable approach to growing revenue and building a winning sales team. Everyone wants to build the next $100 million business and author Mark Roberge has actually done it using a unique methodology... View Details

    • 01 Jun 2015
    • News

    Alumni Take Action to Improve US Competitiveness

    When HBS launched the US Competitiveness Project in 2011, the American economy was struggling to recover from the Great Recession, Washington was in gridlock, and the nation was caught in the hype of a... View Details
    Keywords: Erin Peterson; Walmart; Health, Social Assistance; Retail Trade
    • 2021
    • Article

    Nudging the Commute: Using Behaviorally-Informed Interventions to Promote Sustainable Transportation

    By: Ashley Whillans, Joseph Sherlock, Jessica Roberts, Shibeal O'Flaherty, Lyndsay Gavin, Holly Dykstra and Michael Daly
    Dramatic reductions in carbon emissions must take place immediately. A human-centric method of reducing environmental impacts is to “nudge” employees away from single-occupancy vehicles (SOVs) toward more sustainable commuting options. While an abundance of research... View Details
    Keywords: Behavioral Science; Transportation Demand Management; Commuting; Single-occupancy Vehicle Commutes; Transportation; Behavior; Change; Environmental Sustainability
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    Whillans, Ashley, Joseph Sherlock, Jessica Roberts, Shibeal O'Flaherty, Lyndsay Gavin, Holly Dykstra, and Michael Daly. "Nudging the Commute: Using Behaviorally-Informed Interventions to Promote Sustainable Transportation." Behavioral Science & Policy 7, no. 2 (2021): 27–49.
    • 08 Oct 2020
    • Research & Ideas

    Keep Your Weary Workers Engaged and Motivated

    their employees during these difficult times? About the authors Boris Groysberg is the Richard P. Chapman Professor of Business Administration at Harvard Business School. Robin Abrahams is a research associate at HBS. [Image: RyanJLane] Related reading from the Working... View Details
    Keywords: by Boris Groysberg and Robin Abrahams
    • 2022
    • Article

    How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies

    By: Thomaz Teodorovicz, Raffaella Sadun, Andrew L. Kun and Orit Shaer
    We assess how the sudden and widespread shift to working from home during the pandemic impacted how managers allocate time throughout their working day. We analyze the results from an online time-use survey with data on 1,192 knowledge workers (out of which 973 are... View Details
    Keywords: Time-use; Working-from-home; COVID; Managers; Knowledge Workers; Health Pandemics; Time Management
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    Teodorovicz, Thomaz, Raffaella Sadun, Andrew L. Kun, and Orit Shaer. "How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies." Human-Computer Interaction 37, no. 6 (2022): 532–557.
    • June 2023
    • Article

    How New Ideas Diffuse in Science

    By: Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith and Daniel A. McFarland
    What conditions help new ideas spread? Can knowledge entrepreneurs’ position and develop new ideas in ways that help them take off? Most innovation research focuses on products and their reference. That focus ignores the ideas themselves and the broader ideational... View Details
    Keywords: Innovation Adoption; Natural Language Processing; Knowledge; Science; Innovation and Invention; Knowledge Sharing; Analytics and Data Science
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    Cheng, Mengjie, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith, and Daniel A. McFarland. "How New Ideas Diffuse in Science." American Sociological Review 88, no. 3 (June 2023): 522–561.
    • Web

    Board Use - Christensen Center for Teaching & Learning

    the discussion should be recorded on the board during class that makes it possible for the process to be both organized and spontaneous. Blackboard use David Garvin Professor Garvin explains why View Details
    • July 2022
    • Article

    Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy

    By: Kyle Myers and Lauren Lanahan
    We quantify the magnitude of R&D spillovers created by grants to small firms from the US Department of Energy. Our empirical strategy leverages variation due to state-specific matching policies, and we develop a new approach to measuring both geographic and... View Details
    Keywords: Innovation; Energy; R&D; Grants; Innovation and Invention; Research and Development; Patents; Performance; United States
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    Myers, Kyle, and Lauren Lanahan. "Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy." American Economic Review 112, no. 7 (July 2022): 2393–2423.
    • 26 Jan 2004
    • Research & Ideas

    What Developing-World Companies Teach Us About Innovation

    versions of products originally designed for wealthier markets. This approach rarely succeeds. But some companies have committed themselves to understanding the needs of less-affluent customers and using... View Details
    Keywords: by Donald N. Sull, Alejandro Ruelas-Gossi & Martin Escobari
    • July 2008
    • Exercise

    Information Use by Managers in Decision Making: A Team Exercise

    By: Amy C. Edmondson and Ann Cullen
    The purpose of this exercise is to explore the challenges of information collection and analysis. Students will, experientially, gain insights into how information is used and be exposed to a framework for identifying and evaluating information. In addition, the... View Details
    Keywords: Competency and Skills; Decision Making; Knowledge Use and Leverage; Managerial Roles; Business Processes; Groups and Teams
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    Edmondson, Amy C., and Ann Cullen. "Information Use by Managers in Decision Making: A Team Exercise." Harvard Business School Exercise 609-027, July 2008.
    • October 2021
    • Article

    Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

    By: Nicolas Padilla and Eva Ascarza
    The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
    Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
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    Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
    • 2008
    • Working Paper

    Using Financial Innovation to Support Savers: From Coercion to Excitement

    By: Peter Tufano
    We review a wide variety of programs that support savings by families, in particular by low- and moderate-income families. These programs range from ones that literally compel families to save, to those that make it hard not to save, make it easier to save, provide... View Details
    Keywords: Saving; Motivation and Incentives; Programs; Income; Personal Finance; Family and Family Relationships; Performance Effectiveness
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    Tufano, Peter, and Daniel Schneider. "Using Financial Innovation to Support Savers: From Coercion to Excitement." Harvard Business School Working Paper, No. 08-075, April 2008.
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