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    • News  (15)
    • Research  (90)
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  • All HBS Web  (127)
    • News  (15)
    • Research  (90)
  • Faculty Publications  (45)
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  • 31 Oct 2017
  • First Look

New Research and Ideas, October 31, 2017

Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=53418 Threat of Platform-Owner Entry and Complementor Responses: Evidence from the Mobile App Market By: Wen, Wen, and View Details
Keywords: by Sean Silverthorne
  • 26 Jun 2018
  • First Look

New Research and Ideas, June 26, 2018

forthcoming Journal of International Business Studies Organizational Innovation in the Multinational Enterprise: Internalization Theory and Business History By: da Silva Lopes, Teresa, Mark Casson, and G.... View Details
Keywords: Dina Gerdeman
  • January 2018 (Revised October 2019)
  • Case

ZBJ: Building a Global Outsourcing Platform for Knowledge Workers (A)

By: Feng Zhu, Weiru Chen and Shirley Sun
ZBJ.com (ZBJ), an online platform that connects knowledge workers to small- and medium-sized enterprises, is China’s largest outsourcing platform. Founded by Mingyue Zhu in 2006, ZBJ had grown into a unicorn with 4,000 employees and a daily transaction volume of RMB15... View Details
Keywords: Outsourcing; Disintermediation; Digital Platforms; Information Technology; Problems and Challenges; Global Strategy; Information Technology Industry; China
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Zhu, Feng, Weiru Chen, and Shirley Sun. "ZBJ: Building a Global Outsourcing Platform for Knowledge Workers (A)." Harvard Business School Case 618-044, January 2018. (Revised October 2019.)
  • May 2016 (Revised March 2020)
  • Case

Fasten: Challenging Uber and Lyft with a New Business Model

By: Feng Zhu and Angela Acocella
Fasten, a new ridesharing start-up in Boston, entered the scene in September 2015 hoping its unique vision of transparency for both driver and passenger and strategy to keep riders' fares low and charge drivers a flat $0.99 fee per ride as opposed to the 20-30%... View Details
Keywords: Information Technology; Transportation; Business Startups; Business Model; Transportation Industry; Boston
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Zhu, Feng, and Angela Acocella. "Fasten: Challenging Uber and Lyft with a New Business Model." Harvard Business School Case 616-062, May 2016. (Revised March 2020.)
  • October 2013
  • Article

Ad Revenue and Content Commercialization: Evidence from Blogs

By: Monic Sun and Feng Zhu
Many scholars argue that when incentivized by ad revenue, content providers are more likely to tailor their content to attract "eyeballs," and as a result, popular content may be excessively supplied. We empirically test this prediction by taking advantage of the... View Details
Keywords: Ad-sponsored Business Models; Media Content; Blog; Revenue Sharing; User-generated Content; Platform-based Markets; Blogs; Business Model; Digital Platforms; Commercialization; Digital Marketing
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Sun, Monic, and Feng Zhu. "Ad Revenue and Content Commercialization: Evidence from Blogs." Management Science 59, no. 10 (October 2013): 2314–2331.
  • 03 Sep 2013
  • First Look

First Look: September 3

http://hbr.org/2013/09/women-rising-the-unseen-barriers/ar/1 August 2013 Management Science (forthcoming) Responses to Entry in Multi-Sided Markets: The Impact of Craigslist on Local Newspapers By: Seamans, Robert, and View Details
Keywords: Sean Silverthorne
  • February 2021
  • Article

Trust and Disintermediation: Evidence from an Online Freelance Marketplace

By: Grace Gu and Feng Zhu
As an intermediary improves trust between the two sides of its market to facilitate matching and transactions, it faces an increased risk of disintermediation: with sufficient trust, the two sides may circumvent the intermediary to avoid the intermediary’s fees. In... View Details
Keywords: Disintermediation; Intermediaries; Online Marketplace; Platform Strategy; Trust; Marketplace Matching; Digital Platforms
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Gu, Grace, and Feng Zhu. "Trust and Disintermediation: Evidence from an Online Freelance Marketplace." Management Science 67, no. 2 (February 2021): 794–807.
  • March 2015 (Revised September 2016)
  • Technical Note

Baidu, Alibaba, and Tencent: The Three Kingdoms of the Chinese Internet

By: Feng Zhu and Aaron Smith
This note provides an overview of the Chinese Internet by describing its leading three companies: Baidu, Alibaba, and Tencent (BAT). While BAT had previously focused their respective businesses on distinct sectors of the online economy—Baidu for search, Alibaba for... View Details
Keywords: Competition; Internet; Information Technology Industry; China
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Zhu, Feng, and Aaron Smith. "Baidu, Alibaba, and Tencent: The Three Kingdoms of the Chinese Internet." Harvard Business School Technical Note 615-039, March 2015. (Revised September 2016.)
  • 22 May 2018
  • First Look

New Research and Ideas, May 22, 2018

https://www.hbs.edu/faculty/Pages/item.aspx?num=54476 Trust and Disintermediation: Evidence from an Online Freelance Marketplace By: Gu, Grace, and Feng View Details
Keywords: Dina Gerdeman
  • 22 Jan 2019
  • First Look

New Research and Ideas, January 22, 2019

Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=55493 Marketplace Scalability and Strategic Use of Platform Investment By: Li, Jin, Gary P. Pisano, and View Details
Keywords: Dina Gerdeman
  • Teaching Interest

Digital Innovation and Transformation – MBA Elective Curriculum

By: Feng Zhu
 

Digital Innovation and Transformation is designed to equip students to confidently help conceive, lead and execute digital innovation initiatives and develop new business models for existing and insurgent organizations. The basic premise of the course... View Details

  • 26 Feb 2019
  • First Look

New Research and Ideas, February 26, 2019

forthcoming Management Science Frenemies in Platform Markets: Heterogeneous Profit Foci as Drivers of Compatibility Decisions By: Adner, Ron, Jianqing Chen, and Feng Zhu... View Details
Keywords: Dina Gerdeman
  • May 2021
  • Article

Ideology and Composition Among an Online Crowd: Evidence From Wikipedians

By: Shane Greenstein, Grace Gu and Feng Zhu
Online communities bring together participants from diverse backgrounds and often face challenges in aggregating their opinions. We infer lessons from the experience of individual contributors to Wikipedia articles about U.S. politics. We identify two factors that... View Details
Keywords: User Segregation; Online Community; Contested Knowledge; Collective Intelligence; Ideology; Bias; Wikipedia; Knowledge Sharing; Perspective; Government and Politics
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Greenstein, Shane, Grace Gu, and Feng Zhu. "Ideology and Composition Among an Online Crowd: Evidence From Wikipedians." Management Science 67, no. 5 (May 2021): 3067–3086.
  • 29 Jan 2019
  • First Look

New Research and Ideas, January 29, 2019

Industry By: Park, K. Francis, Robert Seamans, and Feng Zhu Abstract— We examine how heterogeneity in customers’ multi-homing tendencies affects a platform’s response to new... View Details
Keywords: Dina Gerdeman
  • 28 Feb 2017
  • First Look

First Look at New Research, February 28

Strategies By: Seamans, Robert, and Feng Zhu Abstract—Organizational structures are increasingly complex. In particular, more firms today operate as multi-sided platforms. In... View Details
Keywords: Sean Silverthorne
  • September 2016 (Revised March 2020)
  • Teaching Note

Fasten: Challenging Uber and Lyft with a New Business Model

By: Feng Zhu
Fasten, a new ridesharing start-up in Boston, entered the scene in September 2015 hoping its unique vision of transparency for both driver and passenger and strategy to keep riders' fares low and charge drivers a flat $0.99 fee per ride, as opposed to the 20%–30%... View Details
Keywords: Information Technology; Transportation; Business Startups; Business Model; Transportation Industry; Boston
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Zhu, Feng. "Fasten: Challenging Uber and Lyft with a New Business Model." Harvard Business School Teaching Note 617-019, September 2016. (Revised March 2020.)
  • 2011
  • Working Paper

Business Model Innovation and Competitive Imitation: The Case of Sponsor-Based Business Models

By: Ramon Casadesus-Masanell and Feng Zhu
We study sponsor-based business model innovations where a firm monetizes its product through sponsors rather than setting prices to its customer base. We analyze strategic interactions between an innovative entrant and an incumbent where the incumbent may imitate the... View Details
Keywords: Business Model; Innovation and Invention; Market Entry and Exit; Competitive Strategy; Competitive Advantage; Value
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Casadesus-Masanell, Ramon, and Feng Zhu. "Business Model Innovation and Competitive Imitation: The Case of Sponsor-Based Business Models." Harvard Business School Working Paper, No. 11-003, July 2010. (Revised September 2011.)
  • 17 Oct 2017
  • First Look

First Look at New Research and Ideas, October 17, 2017

play in firms that seek enhanced digital agility. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=52707 Multi-homing and Platform Strategies: Historical Evidence from the U.S. Newspaper Industry By: Park, K.... View Details
Keywords: Sean Silverthorne
  • July 2023
  • Article

Marketplace Scalability and Strategic Use of Platform Investment

By: Jin Li, Gary Pisano, Richard Xu and Feng Zhu
The scalability of a marketplace depends on the operations of the marketplace platform as well as its sellers’ capacities. In this study, we explore one strategy that a marketplace platform can use to enhance its scalability: providing an ancillary service to sellers.... View Details
Keywords: Two-sided Platforms; Services; Digital Platforms
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Li, Jin, Gary Pisano, Richard Xu, and Feng Zhu. "Marketplace Scalability and Strategic Use of Platform Investment." Management Science 69, no. 7 (July 2023): 3958–3975.
  • 2021
  • Working Paper

Time Dependency, Data Flow, and Competitive Advantage

By: Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu and Karim R. Lakhani
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
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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.
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