INFORMS Philadelphia – 2015
287
TB08
08-Room 308, Marriott
Sharing Economy and Peer-to-Peer Marketplaces
Cluster: Business Model Innovation
Invited Session
Chair: Jose Guajardo, University of California Berkeley,
545 Student Services Bldg #1900, Berkeley, CA, 94720-1900,
United States of America,
jguajardo@berkeley.edu1 - The Efficacy of Incentives in Scaling up Marketplaces
Ashish Kabra, INSEAD, Boulevard de Constance, Fontainebleau,
France,
ashish.kabra@insead.edu, Elena Belavina, Karan Girotra
Achieving scale is key to the efficacy, survival and eventual domination of
marketplaces. Marketplace operators often run aggressive promotions and
incentive schemes to attract new users or increase the usage of existing users.
Using detailed transaction and location data from a leading transportation
marketplace, we estimate and compare the the short-term and long-term effects
of incentives given to the “buyer” side and “seller” side of the marketplace.
2 - Business Models in the Sharing Economy: Manufacturing
Durables in Presence of Peer-to-peer Markets
Zhe Zhang, PhD Student, Carnegie Mellon University, 5000
Forbes Avenue, Pittsburgh, PA, 15213, United States of America,
zhezhang@cmu.edu,Jose Guajardo, Vibhanshu Abhishek
We investigate the interaction between a manufacturer of durable goods and a
peer-to-peer marketplace where consumers trade the temporary use of the
durable good as a service. We analyze market outcomes under alternative
business models and market structures.
3 - Outsourcing Tasks Online: Matching Supply and Demand on
Peer-to-peer Internet Platforms
Chiara Farronato, Harvard Business School, Soldiers Field,
Boston, United States of America,
chiarafarronato@gmail.com,
Zoe Cullen
We study a central problem for peer-to-peer markets: how to create matches
when demand and supply are highly variable. We develop a model of a matching
market for services, and estimate it using data from TaskRabbit. We find that
supply is highly elastic and estimate average gains from each trade to be $37.
Because of the matching frictions, the ex-ante gains are more modest, but are
maximized by the elastic supply. Finally, we explore heterogeneity of platform
success across cities.
4 - First Ranked First to Serve: Strategic Agents in a Service Contest
Konstantinos Stouras, PhD Candidate, INSEAD,
Bd. de Constance, Fontainebleau, 77305, France,
Konstantinos.STOURAS@insead.edu, Karan Girotra,
Serguei Netessine
We develop a model of a virtual call center that pays its agents on-demand, by
committing to a (relative) performance agent ranking prioritization scheme. We
show that the optimal design of such a “service contest” is often coarse.
Discarding available information about agents’ relative performance, or deploying
coarser priority classes can paradoxically create higher incentives for agents to
voluntarily participate and provide better service.
TB09
09-Room 309, Marriott
Ecosystem Analytics & Visualization
Sponsor: Technology, Innovation Management & Entrepreneurship
Sponsored Session
Chair: Rahul Basole, Associate Professor, Georgia Institute of
Technology, 85 Fifth Street NW, Atlanta, GA, 30332,
United States of America,
basole@gatech.edu1 - Integrated Analytics Framework for Business
Ecosystem Dynamics
Hyunwoo Park, Georgia Institute of Technology, 85 5th St. NW
Rm 339, Atlanta, GA, 30309, United States of America,
hwpark@gatech.edu, Rahul Basole
We propose a computational framework and interactive prototype for specifying
and analyzing business ecosystem dynamics. Our research fuses simulation with
data/process mining and information visualization techniques, enabling decision
makers to specify micro-behavior of firms, generate and test hypotheses, gain
insights, and communicate results effectively. We illustrate our approach using
real-world examples based on a unique curated dataset from multiple sources.
2 - Network Visualization Analysis of Main Paths and Directions of
Firm Innovation
Jianxi Luo, Assistant Professor, Singapore University of
Technology and Design, 8 Somapah Rd, Singapore, 487372,
Singapore,
luo@sutd.edu.sg, Bowen Yan
We present a method to represent the technology space as a network of patent
technology classes, and then overlay the network map to visualise firms’
technology capability positions and main paths of diversification over time. Based
on a few case studies, we show this method can reveal the differences in
innovation behaviours and strategies of different firms and aid in the assessment
of the firm’s past and existing capability positions and the exploration of future
innovation directions.
3 - Quantifying the Ecosystem of Digital Platform Companies
Rahul Basole, Associate Professor, Georgia Institute of
Technology, 85 Fifth Street NW, Atlanta, GA, 30332,
United States of America,
basole@gatech.edu, Peter Evans
The rise of digital platforms is transforming industries and economies. Using an
integrated dataset (Crunchbase and Capital IQ), we quantify, compare, and
visualize the structure of 1,000+ platform companies. We discuss theoretical and
managerial implications.
4 - Visualizing the Start-Up Genome
Raul Chao,
ChaoR@darden.virginia.edu, Rahul Basole
Our study uses novel visual analytic techniques to analyze start-up activities.
Specifically, drawing on an analogy from genetics, we aim to visualize what we
refer to as the “Start-Up Genome” – a unique sequence of activities that defines
and differentiates one start-up from another.
5 - Data-driven Visualizations of Market Differentiation in
Emerging Sectors
Martha Russell, Executive Director, mediaX at Stanford
University, 210 Panama Street, Cordura Hall,
Stanford, CA, 94305-4115, United States of America,
martha.russell@stanford.edu,Jukka Huhtamäki,
Neil Rubens, Kaisa Still
Using keywords from a dataset built from online promotional information, we
visualize the character and strength of startups’ market objectives in emerging
sectors.
TB10
10-Room 310, Marriott
Frontiers in IS Research
Sponsor: E-Business
Sponsored Session
Chair: Min-Seok Pang, Assistant Professor, Temple University, 1810 N
13th St, Speakman 201e, Philadelphia, PA, 19122, United States of
America,
minspang@temple.edu1 - Fundraising Patterns and Entrepreneurial Performance in
Crowdfunding Platforms
Eun Ju Jung, George Mason University, Enterprise Hall, 4400
University Drive, School of Business, Fairfax, VA, 22030, United
States of America,
jej978@gmail.com, Vallabh Sambamurthy,
Anjana Susarla
Crowdfunding provides entrepreneurs with new opportunities for funding and
ultimately fosters entrepreneurship and new firm creation. However, there is a
dearth of research on entrepreneurial performance after fundraising success. In
this paper, we examine how the dynamics in fundraising processes are related to
entrepreneurial performance.This study will contribute to crowdfunding and
entrepreneurship literature and offer practical implications.
2 - It Security Effectiveness: Influence of Breach Type and
Public Attention
John D’arcy, University of Delaware, 207A Purnell Hall,
Newark, DE, 19716, United States of America,
jdarcy@udel.edu,
Asli Basoglu
This study explores factors that bias auditor judgments of companies’ information
security effectiveness. We developed a dataset consisting of security breaches
against publicly traded companies, public attention attributed to these breaches–in
the form of abnormal Google search volume, and auditor evaluations of these
companies’ IT internal controls. Our results suggest that breach source and
abnormal public attention both contribute to biased evaluations of information
security effectiveness.
TB10