[AISWorld] CFP: PACIS 2014 - IT-enabled Innovation in Online Markets and Financial Services Track

[De Liu]

PACIS 2014 will take place at Chengdu, China on June 24-28, 2014. We
cordially invite you to submit a paper to our track titled “IT-enabled
Innovation in Online Markets and Financial Services.” The conference
accepts completed research papers (12 page single-spaced) and
research-in-progress papers (7-page single-spaced) with a submission
deadline of *February 15, 2014*. Please visit
http://pacis2014.org/initial.php for more information and submission
guidelines.





Track Description: *IT-enabled Innovation in Online Markets and Financial
Services*



Track Co-chairs:

*Chen, Dongyu, Fuzhou University*

*Lin, Mingfeng, University of Arizona*

*Liu, De, University of Kentucky*

*Zheng, Haichao, Southwestern University of Finance and Economics*





Information technologies continue to fundamentally transform many
traditional industries and markets. Examples include online peer-to-peer or
social lending, crowd funding in financial services, online labor markets,
online markets for open innovation, online exchanges for healthcare
services, O2O and smart shops, and many more. These innovations and
transformations provide rich contexts for IS researchers to investigate a
variety of research topics using different research methods. This track
aims to bring together scholars who are interested in understanding the
technological, economical, managerial, and behavioral issues in these
innovative online markets and services and stimulate further research and
collaboration.



Possible topics of interest include (but are not limited to):



Electronic / mobile payments

Online peer-to-peer lending / social lending

Crowd funding

Crowdsourcing / online labor markets

Algorithmic markets / algorithmic trading / high frequency trading

Auction-based online markets

Online health exchanges/services

Internet-based credit scoring and risk management

Open innovation

Internet banking / online banking

Electronic money market

Supply chain finance

Prediction markets
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