The Sharing Economy

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    The signaling effect of group-type profile pictures in the sharing economy: The case of Airbnb
    ( 2022-01-04) Min, Donggyu ; Lee, Chul Ho ; Ceran, Yasin ; Tom, Steinberger
    While Airbnb hosts may publish various details of their property on the online platform to persuade travelers to make bookings, they choose to post limited information about themselves, except their profile pictures. Based on the signaling and uncertainty reduction theories, we focus on the impact of host profile pictures on bookings and hypothesize that (1) the presence of a profile picture induces the travelers to trust the host more, (2) the number of people in a picture, a proxy for sociality in trustworthiness, increases bookings, and (3) these two impacts are intensified for properties in risky neighborhoods. Collecting profile pictures of 14,799 hosts on Airbnb, we utilized a deep learning-based face detection technique to extract the number of different faces in a profile and ran random effects models to test our hypotheses. This study is unique in its using archival data to show the impact of profile pictures on bookings.
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    Need for Speed in the Sharing Economy: How IT capability drives Innovation Speed?
    ( 2022-01-04) Cho, Wooje ; Malik, Ojaswi ; Karhade, Prasanna ; Kathuria, Abhishek
    Though innovation is considered to be the lifeblood of business, speed of innovation is more critical than innovation itself. IT plays a critical role in the process of open innovation as it is based upon collaborating with suppliers and customers. IT enables increased collaboration and generation of insights across the firm’s partner network. We examine the role of IT-enabled capabilities in determining the speed of innovation. We hypothesize that collaboration with customers is more effective than collaboration with suppliers for firms to speedily innovate. Further, a firm’s digital collaboration with customers is more effective when Business Intelligence systems are used. Econometric analyses of data from 249 U.S. firms yields strong support for our hypotheses. While both customer-side and supplier- side digital collaboration are positively associated with innovation speed, the effect of customer-side digital collaboration on innovation speed is stronger. Furthermore, Business Intelligence systems use amplifies the effect of customer-side digital collaboration.
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    Effects of Personality on Social Performance in Social Trading
    ( 2022-01-04) Liu, Quanchen ; Xiong, Bingqing ; Cai, Zhao ; Zhu, Jiantao ; Lim, Eric ; Tan, Chee-Wee
    On social trading platforms, the income of leader traders is largely dictated by the number of copy trades conducted by their followers. Consequently, it is imperative for leader traders to exhibit appealing personalities to entice their followers to conduct copy trades. Drawing on social capital theory, we endeavor to scrutinize the effects of traders’ personalities on the accumulation of social capital, which in turn bolsters social performance as measured by the number of copy trades. Data was extracted from a leading social trading platform. The Myers–Briggs Type Indicator personality classification system was then employed to depict leader traders’ personalities based on a novel text-based, machine learning approach. Preliminary analytical results reveal significant relationships among personality traits, social capital dimensions, and social performance. Findings from this study generate insights for social trading platforms and leader traders on exhibiting desirable personalities conducive for accumulating social capital that entice followers to conduct copy trades.
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    Appreciating Support – Antecedents of Subscription-Based Crowdfunding Campaign Success
    ( 2022-01-04) Jöntgen, Hendrik
    Using subscription-based crowdfunding platforms, content creators can transform their social embeddedness from social media websites into financial support and subsequently gain independence from advertisers. This study examines the antecedents of campaign success for subscription-based crowdfunding campaigns and how content creators can use them to run successful campaigns. For this, we crawled a comprehensive data set from the largest and most universally used subscription-based crowdfunding platform Patreon. Our results show that campaign creators should write an extensive campaign description, offer multiple reward levels with a wide span of costs, lividly engage with their community while focusing on postings with a high level of media richness, and use their social media followers to bring their campaign to success. We contribute to previous research by evaluating the effects of crowdfunding campaign characteristics that previous research only hypothesized and by focusing on the novel concept of subscription-based crowdfunding.
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    Introduction to the Minitrack on The Sharing Economy
    ( 2022-01-04) Xiao, Bo ; Abhari, Kaveh