Discrimination with Incomplete Information in the Sharing Economy: Evidence from Field Experiments on Airbnb

Cui, Ruomeng; Li, Jun; Zhang, Dennis

doi:10.2139/ssrn.2882982

Cited by 50 publications

(66 citation statements)

References 44 publications

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“…Recent OM research has identified operational improvements that can partially mitigate this challenge, in particular, the deployment of a credible, easy‐to‐use online reputation and communication system (Cui et al. , Li et al. ).…”

Section: Inclusive Innovation: An Operations Lensmentioning

confidence: 99%

The Role of Inclusive Innovation in Promoting Social Sustainability

Kalkancı

Rahmani

Toktay

2019

Production and Operations Management

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This special issue implores us to address sustainability from the lens of emerging economies and the role that innovation can play in this context. We posit that, for sustainable operations research to be relevant in the context of emerging economies, it needs to incorporate social concerns and conditions of underserved populations, with an emphasis on inclusion and equity. Especially important for addressing social concerns of these populations will be product/service innovation, process/business model innovation, and supply chain innovation. We further posit that successful innovation in these areas will require collaboration of for‐profit firms with the public sector, civil society organizations, and communities. In thisstudy, we put forward “inclusive innovation” as a unifying approach that enables the collaborative integration of social issues of relevance to underserved populations in operations management decisions. We then focus on contemporary sectoral challenges in services, manufacturing, and agriculture, highlight the relevant social sustainability issues with an emphasis on those relevant to underserved populations, and point to new opportunities for research.

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Section: Inclusive Innovation: An Operations Lensmentioning

confidence: 99%

The Role of Inclusive Innovation in Promoting Social Sustainability

Kalkancı

Rahmani

Toktay

2019

Production and Operations Management

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“…1 Prominent examples include funding platforms that match small borrowers and entrepreneurs with small lenders and investors such as LendingClub and Kickstarter; information platforms that provide peer-to-peer instruction, reviews, and advice such as Yelp (see, e.g., Bimpikis and Papanastasiou 2019); and peer-to-peer marketplaces that involve the buying and selling of goods and services such as Etsy, Airbnb, and Upwork (see, e.g., Allon et al 2012, Chen et al 2019b, Cui et al 2019.…”

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confidence: 99%

Operations Management in the Age of the Sharing Economy: What Is Old and What Is New?

Benjaafar

2020

M&SOM

200

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Please scroll down for article-it is on subsequent pagesWith 12,500 members from nearly 90 countries, INFORMS is the largest international association of operations research (O.R.) and analytics professionals and students. INFORMS provides unique networking and learning opportunities for individual professionals, and organizations of all types and sizes, to better understand and use O.R. and analytics tools and methods to transform strategic visions and achieve better outcomes. For more information on INFORMS, its publications, membership, or meetings visit Abstract. The sharing economy, a term we use to refer to business models built around ondemand access to products and services mediated by online platforms that match many small suppliers or service providers to many small buyers, has emerged as an important area of study in operations management. We first describe three "canonical" applications that have garnered much attention from the operations management community. We use these applications to highlight distinguishing features of sharing economy business models and to point out research questions that are new. Then we draw connections between classical operations management theory and models and those that have been used to study sharing economy applications. We do so to put in context some of the recent work on the sharing economy and to showcase the underlying modeling toolkit and identify opportunities for future research.

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“…We nonetheless believe that many aspects of our study can help us to better elucidate challenges faced by other sharing economy platforms and that our study meaningfully adds to the emerging literature on the sharing economy (e.g., Burtch et al, 2018;Cachon et al, 2017;Cramer & Krueger, 2016;Cui, Li, & Zhang, 2016;Edelman, Luca, & Svirsky, 2017;Ge, Knittel, MacKenzie, & Zoepf, 2016;Greenwood & Wattal, 2017;Hong & Lee, 2018;Matzler, Veider, & Kathan, 2015). In closing, we hope that our study inspires additional theoretical, managerial, and policy debates in meaningful ways.…”

Section: Discussionmentioning

confidence: 78%

Entrepreneurship, innovation, and political competition: How the public sector helps the sharing economy create value

Paik

Kang

Seamans

2018

Strategic Management Journal

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Research Summary: With the recent growth of the sharing economy, regulators must frequently strike the right balance between private and public interests to maximize value creation. In this article, we argue that political competition is a critical ingredient that explains whether cities accommodate or ban ridesharing platforms and that this relationship is moderated in more populous cities and in cities with higher unemployment rates. We test our arguments using archival data covering ridesharing bans in various U.S. cities during the 2011–2015 period. We supplement these data with semistructured interviews. We find broad support for our arguments while mitigating potential endogeneity concerns. Our study has important implications for nonmarket strategy, entrepreneurship and innovation, and public‐private partnership literatures. In addition, our findings inform policy debates on the sharing economy. Managerial Summary: Entrepreneurs and businesses oftentimes face severe regulatory barriers when commercializing innovative products and services even if the innovations are generally beneficial for consumers and the broader society. This research focuses on the political determinants of regulation to provide a better understanding of why some markets are more receptive to innovative products while other markets are more hostile to them. Using the banning of ridesharing companies (e.g., Uber and Lyft) in various U.S. cities during the 2011–2015 period, we find that elected politicians facing less political competition (i.e., not easily replaceable, serving multiple terms, longer tenure in office) were more likely to ban ridesharing companies and favor, potentially displaceable, local taxicab companies. Our research has implications for navigating the political barriers to entry.

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Discrimination with Incomplete Information in the Sharing Economy: Evidence from Field Experiments on Airbnb

Cited by 50 publications

References 44 publications

The Role of Inclusive Innovation in Promoting Social Sustainability

The Role of Inclusive Innovation in Promoting Social Sustainability

Operations Management in the Age of the Sharing Economy: What Is Old and What Is New?

Entrepreneurship, innovation, and political competition: How the public sector helps the sharing economy create value

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