Filter Results
:
(8)
Show Results For
- All HBS Web (28)
- Faculty Publications (4)
Show Results For
- All HBS Web (28)
- Faculty Publications (4)
Page 1 of
8
Results
Sort by
- 2019
- Working Paper
Using Technology to Augment Professionals, Instead of Replacing Them, for Innovative Problem Solving
By: Hila Lifshitz - Assaf, Felicia Ng, Aniket Kittur and Robert Kraut
While in some technological and scientific areas innovation is flourishing, in others it is stalling, leaving important problems unsolved for decades. One explanation is professionals’ limitations as problem solvers, as accumulating depth of knowledge enhances one’s...
View Details
- March–April 2021
- Article
Network-biased Technical Change: How Information Management Tools Overcome Some Biases but Exacerbate Others.
By: Gerald C. Kane and Lynn Wu
Organizations have long sought to improve employee performance by managing knowledge more effectively. In this paper, we test whether the adoption of digital tools for expertise search and access within an organization, often referred to as a support to an...
View Details
Keywords:
Digital Tools;
Social Media;
Social Networks;
Transactive Memory Systems;
Augmented Intelligence;
Artificial Intelligence;
Social and Collaborative Networks;
Gender;
Equality and Inequality;
Technology Adoption;
Knowledge Management;
Performance Improvement;
Power and Influence;
Organizational Change and Adaptation
Kane, Gerald C., and Lynn Wu. "Network-biased Technical Change: How Information Management Tools Overcome Some Biases but Exacerbate Others." Organization Science 32, no. 2 (March–April 2021): 273–292.
- Article
Scaling Up Analogical Innovation with Crowds and AI
By: Aniket Kittur, Lisa Yu, Tom Hope, Joel Chan, Hila Lifshitz - Assaf, Karni Gilon, Felicia Ng, Robert Kraut and Dafna Shachaf
Analogy—the ability to find and apply deep structural patterns across domains—has been fundamental to human innovation in science and technology. Today there is a growing opportunity to accelerate innovation by moving analogy out of a single person’s mind and...
View Details
Keywords:
Innovation;
Artificial Intelligence;
Crowdsourcing;
Analogy;
Innovation and Invention;
Technology;
Science
Kittur, Aniket, Lisa Yu, Tom Hope, Joel Chan, Hila Lifshitz - Assaf, Karni Gilon, Felicia Ng, Robert Kraut, and Dafna Shachaf. "Scaling Up Analogical Innovation with Crowds and AI." Proceedings of the National Academy of Sciences 116, no. 6 (February 5, 2019): 1870–1877.
- 26 Apr 2023
- In Practice
Is AI Coming for Your Job?
The launch of ChatGPT seems to have reignited doomsday fears about artificial intelligence (AI) replacing workers en masse. Are these fears prescient or overblown? A recent survey shows 62 percent of Americans think AI will majorly impact...
View Details
- 13 Nov 2019
- Research & Ideas
Don't Turn Your Marketing Function Over to AI Just Yet
envisioned “virtual market” machine could become a reality but would still require one missing ingredient: a soul. The “soul” is our human intuition, scientific expertise, awareness of customer preferences, and industry knowledge—all capabilities that machines lack and...
View Details
Keywords:
by Kristen Senz
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the...
View Details
Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia. Review of Marketing Research. Emerald Publishing Limited, forthcoming.
- 09 Dec 2019
- Research & Ideas
Identify Great Customers from Their First Purchase
the customer would do in the future. As with other artificial intelligence tools, the drawback to this technology is that the model acts as a sort of black box, so researchers can’t determine the exact factors that trigger predictions....
View Details
- 11 Jun 2024
- In Practice
The Harvard Business School Faculty Summer Reader 2024
and academic tomes. Their favorites hit some of the year’s biggest themes, from artificial intelligence (AI) to racial equity to climate change. Julia Austin: Humans and tech, and the ultrarich of New York One of my favorite books so far...
View Details
Keywords:
by Avery Forman