Person: Zhu, Feng
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Publication Open Content, Linus’ Law, and Neutral Point of View
(Institute for Operations Research and the Management Sciences (INFORMS), 2016-09) Greenstein, Shane; Zhu, FengThe diffusion of the Internet and digital technologies has enabled many organizations to use the open-content production model to produce and disseminate knowledge. While several prior studies have shown that the open-content production model can lead to high-quality output in the context of uncontroversial and verifiable information, it is unclear whether this production model will produce any desirable outcome when information is controversial, subjective, and unverifiable. We examine whether the open-content production model helps achieve a neutral point of view (NPOV) using data from Wikipedia's articles on U.S. politics. Our null hypothesis builds on Linus' Law, often expressed as "Given enough eyeballs, all bugs are shallow." Our findings are consistent with a narrow interpretation of Linus' Law, namely, a greater number of contributors to an article makes an article more neutral. No evidence supports a broad interpretation of Linus' Law. Moreover, several empirical facts suggest the law does not shape many articles. The majority of articles receive little attention, and most articles change only mildly from their initial slant. Our study provides the first empirical evidence on the limit of Linus' Law. While many organizations believe that they could improve their knowledge production by leveraging communities, we show that in the case of Wikipedia, there are aspects, such as NPOV, that the community does not always achieve successfully.
Publication Competing with Complementors: An Empirical Look at Amazon.com
(Wiley, 2018-08-28) Zhu, Feng; Liu, QihongResearch Summary: Platform owners sometimes enter complementors' product spaces and compete against them. Using data from Amazon.com to study Amazon's entry pattern into third‐party sellers' product spaces, we find that Amazon is more likely to target successful product spaces. We also find that Amazon is less likely to enter product spaces that require greater seller efforts to grow, suggesting that complementors' platform‐specific investments influence platform owners' entry decisions. While Amazon's entry discourages affected third‐party sellers from subsequently pursuing growth on the platform, it increases product demand and reduces shipping costs for consumers. We consider the implications of these findings for complementors in platform‐based markets. Managerial Summary: Platform owners can exert considerable influence over their complementors' welfare. Many complementors with successful products are pushed out of markets because platform owners enter their product spaces and compete directly with them. To mitigate such risks, complementors could build their businesses by aggregating nonblockbuster products or focusing on products requiring significant platform‐specific investments to grow. They should also develop capabilities in new product discovery so that they could continually bring innovative products to their platforms.
Publication The Evolution of Two-Sided Markets: A Dynamic Model
(2010) Zhu, Feng; Mitzenmacher, MichaelStatic models of two-sided markets often lead to multiple equilibria as a result of increasing return to demand. Typically the market can be monopolistic or oligopolistic in equilibrium. We provide a simple dynamic model to address the equilibrium selection problem. Our results indicate that the final market structure depends critically on the overall strength of the indirect network effects of the two sides. Interestingly, we find under weak network effects the market share advantage of the leader diminishes over time. Simulating our model under the monopoly conditions also suggests that time until dominance follows a power law distribution, and as a result the probability that monopoly does not occur for an extended period is not trivial. We then discuss the implications of our results for intermediaries.
Publication Friends or Foes? Examining Platform Owners’ Entry into Complementors’ Spaces
(Wiley, 2018-12-29) Zhu, FengAs platform owners continue to expand their ecosystems, many of them have started to provide consumers with their own complementary applications. These moves position the platform owners as direct competitors to their complementors. This paper surveys empirical studies that examine the direct entry of platform owners into complementors’ product spaces. It finds that both the motivation and impact of such entries on complementors are multifaceted. The motivation behind platform owners’ direct entry goes beyond value capture, and the impact of platform entry on complementors varies across empirical settings. It identifies several future research directions that can help advance our understanding of the relationships between platform owners and complementors.
Publication Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia
(2018) Greenstein, Shane; Zhu, FengOrganizations today can use both crowds and experts to produce knowledge. While prior work compares the accuracy of crowd-produced and expert-produced knowledge, we compare bias in these two models in the context of contested knowledge, which involves subjective, unverifiable, or controversial information. Using data from Encyclopædia Britannica, authored by experts, and Wikipedia, an encyclopedia produced by an online community, we compare the slant and bias of pairs of articles on identical topics of U.S. politics. Our slant measure is less (more) than zero when an article leans towards Democratic (Republican) viewpoints, while bias is the absolute value of the slant. We find that Wikipedia articles are more slanted towards Democratic views than are Britannica articles, as well as more biased. The difference in bias between a pair of articles decreases with more revisions. The bias on a per word basis hardly differs between the sources because Wikipedia articles tend to be longer than Britannica articles. These results highlight the pros and cons of each knowledge production model, help identify the scope of the empirical generalization of prior studies comparing the information quality of the two production models, and offer implications for organizations managing crowd-based knowledge production.
Publication Business Model Innovation and Competitive Imitation: The Case of Sponsor-Based Business Models
(Wiley-Blackwell, 2013) Casadesus-Masanell, Ramon; Zhu, FengThis paper provides the first formal model of business model innovation. Our analysis focuses on 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 entrant's business model innovation once it is revealed. The results suggest that an entrant needs to strategically choose whether to reveal its innovation by competing through the new business model or conceal it by adopting a traditional business model. We also show that the value of business model innovation may be so substantial that an incumbent may prefer to compete in a duopoly rather than to remain a monopolist.