Asia-Pacific (SIGISAP)

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Track Chairs

Xin (Robert) Luo, University of New Mexico,
Wei (Wayne) Huang, Xi’an Jiaotong University, China,
Shanlin Yang, Hefei University of Technology, China,

Track Description

The AMCIS 2016 Asia-Pacific Region track promotes research about IS/IT in and/or about the Asia-Pacific region. The Asia-Pacific region is generally composed of countries or regions such as Mainland China, Republic of China (Taiwan), Hong Kong, Macau, Malaysia, Singapore, South Korea, Japan, Australia, and New Zealand, etc. The population of this region reaches 4.3 billion. Different languages are spoken and used in this region, including Chinese, Korean, Japanese, and English. Since AMCIS is a major conference for scholars in America where English is primarily used, this track will bridge the language gap to open a new stage for high-quality research that is written and will be presented in Chinese, Korean, or Japanese while also accepting papers in English that bring together IS/IT research and the Asia-Pacific region.

This track welcomes any IS/IT paper that is written in Chinese, Korean, and Japanese, and also selected papers written in English. Reviewers from different cultural/language backgrounds will be solicited to help review the submissions. Papers written in English that specifically study the Asia-Pacific region are also welcome in this track.

Accepted papers will be published in the language they were submitted (papers in Chinese, Korean, or Japanese will also include a copy of the title and abstract in English). Presentations can be made in Chinese, Korean, Japanese, or English at the authors’ discretion.

Mini-Track 1: Big data research in healthcare in Asia Pacific

Xi Zhao, Xi’an Jiaotong University,
Yuewen Liu, Xi’an Jiaotong University,

Many countries in Asia Pacific are facing the challenge in imbalance between demands for high-quality healthcare services and limited healthcare resources. With the emerging technologies in cloud computing and big data, the next generation “data driven” healthcare systems become a novel direction to ease the dilemma. This mini-track aims to create opportunities to share works and enhance collaboration among interdisciplinary researchers related to big data healthcare, and to foster relevant new innovations. The topics in this mini-track include but are not limited to: smart data-driven services for healthcare; innovations in healthcare; standards for big data in healthcare; medical and healthcare data management systems; handling noisy and missing medical data; data integration, mining, analysis and visualization for healthcare data; security and privacy for big data in healthcare; etc.

Mini-Track 2: Big data research in finance in Asia Pacific

Hongyun Zhang, Xi’an Jiaotong University,
Weijin Zhang, Xi’an Jiaotong University,

As financial markets in Asia Pacific have undergone rapid transformations in the past two decades due to technological advances, organizations in this sector are all generating, storing and managing masses of data. This mini-track aims to better understand the role of big data in finance, demonstrating its value to society and business as well as recognizing potential pitfalls and challenges. To bring together researchers from computer science, engineering, economics and finance, and other disciplines to collaborate on topics include but not limited to: application and challenges of using big data in investment management; pitfalls and opportunities of digital currencies; emerging privacy technologies and applications in finance industry; predictive analytics for finance using big data; role of big data in understanding systemic risk in financial systems; role of big data in understanding patterns in investor and consumer behavior; etc.

Mini-Track 3: The Internet in China

Wesley Shu, National Central University,

Zhi Yang, Huazhong University of Science & Technology,
Xuefeng Zhao, Huazhong University of Science & Technology,

The recent development of the Internet in China is worth worldwide attention. There are new phenomena denoting this revolutionary change: Internet +, disruptive innovation, big data, decentralization, cloud computing, Internet of things, etc. Some of the changes are quite different from those in the Western world. For example, the development of the Internet and the Internet of things is not associated with social revolution in the Western world but they may change the social structure in China. They may not change corporate governance in the Western world, but China’s corporate governance and even the power structure may be changed. Trillions of transactions occur in China per day and they have made China a really big country. What information can be extracted from that mass of data? We hope to explore a new page of IT history in China in this mini track.

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