Sharing Economy, Platforms and Crowds

Track Description
Topics around sharing economy, platforms, and crowds have become focal areas of research in information systems. This track continues a series of prior tracks at the International Conference on Information Systems (ICIS) and invites cutting-edge research on these topics. The papers may address one or more of these topics.

Information technology (IT) has enabled the creation of multi-sided platforms, which connect varied actors throughout the world for little marginal cost. These platforms facilitate transactions and interactions in a variety of contexts: transportation, housing and hospitality, crowdfunding, fintech, classified ads, education and massive open online courses (MOOCs), dating, e-commerce, and product review sites. These platforms have disrupted and revolutionized industries, for better and for worse, with both promising and discouraging economic and societal impacts.

The sharing economy in particular leverages platforms and other infrastructures to allow individuals to offer and share their assets with others and have had significant social, legal and economic impacts. Typical user-owned asset platforms include Airbnb, Uber, Didi, Grab, NetJets, and Ouibring. However, the sharing economy also includes platforms that facilitates sharing and renting of company-owned assets such as CitiBike, Ofo, Bird, and Lime, and this track will be open to this broad definition of sharing economy platforms.

Crowd-based models of content production, innovation, funding among others leverage the capability of digital platforms and infrastructures to connect distributed and heterogeneous individuals and organizations for a variety of economic, social, and societal purposes. Here again, the track will entertain crowd-based models within the organization as well as beyond the organizational boundaries.

Track Chairs
Sirkka Jarvenpaa, University of Texas at Austin, sjarvenpaa@mail.utexas.edu
Tuan Phan, University of Hong Kong, tphan@tuanqphan.us
Jui Ramaprasad, McGill University, jui.ramaprasad@mcgill.ca
Jing Wang, Hong Kong University of Science and Technology, jwang@ust.hk

Schedule
Monday, December 14th
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2020
	A Machine Learning Method for Measuring Information Disclosure in Sharing Economy Platforms Xin Wei, Tianjin University, College of Management and Economics Wei He, Texas Tech University Xi Zhang, Tianjin University Chuang Zhao, Tianjin University Hongke Zhao, Tianjin University
12:00 AM	Can Digital Platforms help SMEs Develop Organizational Capabilities? A Qualitative Field Study Ahmad Asadullah, National University of Singapore Isam Faik, National University of Singapore Atreyi Kankanhalli, National University of Singapore
12:00 AM	Destructive Domination in Crowdsourcing Reihaneh Bidar, Queensland University of Technology Arthur ter Hofstede, Queensland University of Technology Renuka Sindhgatta, Queensland University of Technology
12:00 AM	Do Featured Consumer Reviews Matter? Alexander Kupfer, University of Innsbruck Ronald Maier, University of Innsbruck Steffen Zimmermann, Ulm University Janna Josefina Thiele, University of Innsbruck
12:00 AM	Driving Future Mobility by Shared Mobility: A Taxonomy of Ridesharing Business Models Tim-Benjamin Lembcke, University of Goettingen Bernd Herrenkind, University of Goettingen Mathias Willnat, University of Goettingen Johannes Bührke, University of Goettingen Ilja Nastjuk, University of Goettingen
12:00 AM	Gazing at the Stars: How Signal Discrepancy Affects Purchase Intentions and Cognition Maik Hesse, TU Berlin Otto Hans-Martin Lutz, Fraunhofer FOKUS Marc Adam, University of Newcastle Timm Teubner, TU Berlin
12:00 AM	Haters Gonna Hate? How Removing Downvote Option Impacts Discussion Culture in Online Forum Warut Khern-am-nuai, McGill University Changseung Yoo, McGill University Jitsama Tanlamai, McGill University Yossiri Adulyasak, HEC Montreal
12:00 AM	How Algorithmic Regulation Affects Sharing Markets: Analysis Using a Quasi-Natural Experiment Shagun Tripathi, IESE Business School Harris Kyriakou, IESE Business School
12:00 AM	How Users Drive Platform Value Zhou Zhou, Boston University Lingling Zhang, University of Maryland Marshall Van Alstyne, Boston University
12:00 AM	Identifying Successful Ideas in Crowdsourcing Contest: Effects of Idea Content and Competition Intensity Tingru Cui, University of Melbourne Libo Liu, University of Melbourne
12:00 AM	Modeling Consumers’ Sequential Browsing Behavior Considering the Path Dependence Meihua Zuo, Huizhou University Carol Ou, Tilburg University Hongwei Liu, Guangdong University of Technology Zhouyang Liang, Guangdong University of Technology
12:00 AM	On Platform’s Incentive to Filter Fake Reviews: A Game-Theoretic Model Zhe Wang, Tsinghua University Subodha Kumar, Temple University Dengpan Liu, Tsinghua
12:00 AM	People Don't Change, Their Priorities Do: Evidence of Value Homophily for Disaster Relief Amin Sabzehzar, Arizona State University Yili Hong, Arizona State University Raghu Santanam, Arizona State University
12:00 AM	Tackling Android Fragmentation: Mobile Apps’ Dilemma and the Platform’s Strategies Xi Wu, Temple University Subodha Kumar, Temple University Min-Seok Pang, Temple University
12:00 AM	The Impact of Government Regulation on Sharing Platform Growth: A Channel of Supplier Behavior Change Miaozhe Han, The Chinese University of Hong Kong Xiaoquan (Michael) Zhang, The Chinese University of Hong Kong
12:00 AM	The More, the Better? The Impact of Data Analytics and Data Provisioning on Publisher Competition Xin Zhang, City university of Hong Kong Ran Zhang, City University of Hong Kong Wei Thoo Yue, City University of Hong Kong Yugang Yu, University of Science and Technology of China
12:00 AM	To Train or Not to Train? How Training Affects the Diversity of Crowdsourced Data Shawn Ogunseye, Bentley University Jeffrey Parsons, Memorial University of Newfoundland Roman Lukyanenko, HEC Montreal
12:00 AM	Toss a Coin to your Host - How Guests End up Paying for the Cost of Regulatory Policies Michelle Müller, Paderborn University Jürgen Neumann, Paderborn University Dominik Gutt, Erasmus University Rotterdam Dennis Kundisch, Paderborn University
12:00 AM	Transforming Work Organization with Internal Crowds: a Process Theory Michael Greineder, Universität St. Gallen Ivo Blohm, University of St. Gallen
12:00 AM	Wolf in a Sheep’s Clothing: When Do Complementors Face Competition With Platform Owners? André Halckenhaeusser, University of Mannheim Jens Foerderer, Technical University of Munich Armin Heinzl, University of Mannheim

Sharing Economy, Platforms and Crowds

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