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    Technological InnovationRemove Technological Innovation →

    New research on technological innovation from Harvard Business School faculty on issues including using data mining to improve productivity, why business IT innovation is so difficult, and the business implications of the technology revolution.
    Page 1 of 58 Results →
    • 19 Jan 2021
    • Working Paper Summaries

    The Value of Descriptive Analytics: Evidence from Online Retailers

    by Ron Berman and Ayelet Israeli

    Analytics are descriptive when they describe what happened. Descriptive-analytics solutions are popular among marketers and retailers. This paper provides a benchmark for the benefits of using a descriptive dashboard and illustrates how to potentially extract these benefits.

    • 28 Sep 2020
    • Working Paper Summaries

    What Can Economics Say About Alzheimer's Disease?

    by Amitabh Chandra, Courtney Coile, and Corina Mommaerts

    This essay discusses the role of market frictions and "missing medicines" in drug innovation and highlights how frameworks and toolkits of economists can help our understanding of the determinants and effects of Alzheimer's disease on health.

    • 20 Aug 2020
    • Book

    From the Plow to the Pill: How Technology Shapes Our Lives

    by Dina Gerdeman

    Many technologies have upended long-held beliefs about love, sex, marriage, and reproduction, says Debora Spar in a new book, Work Mate Marry Love: How Machines Shape Our Human Destiny. Open for comment; 0 Comments.

    • 18 Aug 2020
    • Cold Call Podcast

    Is a Pandemic the Best Time To Try Out a New Idea?

    Re: Mitchell B. Weiss

    Singapore's new nationwide, Bluetooth-based contact tracing program TraceTogether must overcome privacy issues to be effective. Would Singaporeans adopt TraceTogether? Professor Mitch Weiss discusses his new case study. Open for comment; 0 Comments.

    • 11 Jun 2020
    • In Practice

    Are Digital Organizations Better at Overcoming COVID?

    by Danielle Kost

    Experts from Harvard Business School's Digital Initiative discuss how technology is helping leading companies gain an edge during the coronavirus pandemic. Open for comment; 0 Comments.

    • 12 May 2020
    • Cold Call Podcast

    Autonomous Vehicles Are Ready to Disrupt Society, Business—and You

    Re: Elie OfekRe: William R. Kerr

    The rise of autonomous vehicles has enormous implications for business and society. Professors William R. Kerr and Elie Ofek explore the factors influencing their development and commercialization. Open for comment; 0 Comments.

    • 07 May 2020
    • Research & Ideas

    The One Good Thing Caused by COVID-19: Innovation

    by Hong Luo and Alberto Galasso

    Hong Luo and Alberto Galasso see risk-mitigating innovation everywhere the virus spreads. Open for comment; 0 Comments.

    • 09 Mar 2020
    • Research & Ideas

    Warring Algorithms Could Be Driving Up Consumer Prices

    by Kristen Senz

    Companies increasingly use software to conduct rapid price changes. Alexander MacKay explains why firms might benefit but consumers should be worried. Open for comment; 0 Comments.

    • 06 Jan 2020
    • Working Paper Summaries

    From Know-It-Alls to Learn-It-Alls: Executive Development in the Era of Self-Refining Algorithms, Collaborative Filtering and Wearable Computing

    by Mihnea Moldoveanu and Das Narayandas

    Learning happens most reliably and efficiently when it is contextualized, personalized, and socialized. This is important for executive learning in particular and adult learning more generally. Innovators and educational designers can leverage technologies that enable sensing, interacting, computing, searching, and storing to produce learner-optimal experiences.

    • 20 Nov 2019
    • Research & Ideas

    It's No Joke: AI Beats Humans at Making You Laugh

    by Dina Gerdeman

    New research shows people don’t trust recommendations from algorithms—and that’s a problem for companies that increasingly rely on AI-based technology to persuade consumers. Michael H. Yeomans explains how businesses can overcome that bias. Open for comment; 0 Comments.

    • 19 Nov 2019
    • Op-Ed

    Gender Bias Complaints against Apple Card Signal a Dark Side to Fintech

    by Karen G. Mills

    The possibility that Apple Card applicants were subject to gender bias opens a new frontier for the financial services sector in which regulators are largely absent, argues Karen Mills. Open for comment; 0 Comments.

    • 04 Oct 2019
    • Working Paper Summaries

    Soul and Machine (Learning)

    by Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano et al.

    This paper argues with examples and predictions that while marketing science theory, engineering, and machine learning capabilities are changing the way we think about marketing, true advances will come when marketing managers know when to trust the machine and when to trust their instincts.

    • 18 Sep 2019
    • Working Paper Summaries

    Female Inventors and Inventions

    by Rembrand Koning, Sampsa Samila, and John-Paul Ferguson

    Does the gender of inventors make a difference for who benefits from their inventions? Analysis of all U.S. biomedical patents issued between 1976 and 2010 shows that research teams with women were more likely to produce patents addressing women’s health conditions, especially when female researchers led the teams. This link suggests that the dearth of women inventors might also result in fewer female-focused inventions.

    • 28 Aug 2019
    • Working Paper Summaries

    Who Drives Digital Innovation? Evidence from the US Medical Device Industry

    by Cirrus Foroughi and Ariel Dora Stern

    Major industries are undergoing a digital transformation, in which key aspects of new product development are migrating to a software-driven context. In the medical device industry, experience matters, as does the geographic clustering of new product development, which gives advantages to both new entrants and incumbent firms.

    • 21 Aug 2019
    • Research & Ideas

    What Machine Learning Teaches Us about CEO Leadership Style

    by Michael Blanding

    Tarun Khanna and Prithwiraj Choudhury use machine-learning technology to look for links between a CEO's communications style and company performance. Open for comment; 0 Comments.

    • 12 Aug 2019
    • Working Paper Summaries

    Case Histories of Significant Medical Advances

    by Amar Bhidé, Srikant M. Datar, and Katherine Stebbins

    Nine working papers by Srikant M. Datar and colleagues explore technologies pioneered during the late 20th century that US internists say have greatly improved patient care.

    • 10 Jun 2019
    • Working Paper Summaries

    Going Digital: Implications for Firm Value and Performance

    by Wilbur Chen and Suraj Srinivasan

    More and more nontechnology companies are adopting digital technologies like AI, data analytics, and machine learning. This study of the economic performance of nontech firms adopting new digital technologies finds a persistent future increase in valuation. However, investors only slowly incorporate the value implications of digital activities into prices. Nontech companies with senior executives with tech talent improve performance more than those without.

    • 18 Apr 2019
    • Research & Ideas

    Open Innovation Contestants Build AI-Based Cancer Tool

    by Martha Lagace

    Radiation oncologists are few in number, especially if you are nowhere near a cancer facility. Could artificial intelligence be used to deliver an oncologist's skills for radiation therapy? Karim R. Lakhani discusses a unique open innovation experiment. Open for comment; 0 Comments.

    • 17 Apr 2019
    • Research & Ideas

    How Managers Stifle Creativity

    by Danielle Kost

    3QUESTIONS: Teresa Amabile discusses the roots of creativity, how to achieve more of it, and combining it with artificial intelligence. Open for comment; 0 Comments.

    • 16 Apr 2019
    • Working Paper Summaries

    Can Biometric Tracking Improve Healthcare Provision and Data Quality? Experimental Evidence from Tuberculosis Control in India

    by Thomas Bossuroy, Clara Delavallade, and Vincent Pons

    This paper shows the benefits of biometric technology for strengthening service delivery and improving reliability of government data. The technology improved productivity of health workers operating tuberculosis treatment centers and decreased misreporting.

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