Track Descriptions

Track descriptions will be posted as we get closer to the conference submission window.

Accounting Information Systems (SIGASYS)

TRACK DESCRIPTION

The Accounting Information Systems track highlights research that focuses on the link between accounting and information systems, including topics that range from IT governance to interorganizational information systems and draws from a variety of disciplines like accounting, psychology, sociology, cognitive science, behavioral science, economics, politics, computer science, and information technology.

To see information on SIGASYS Mini-tracks, click here.

Adoption and Diffusion of Information Technology (SIGADIT)

TRACK DESCRIPTION

In recent years, we have seen creative and innovative business opportunities through the adoption and diffusion of mobile technology, social media, and cloud computing. In the era of digital economy, the ability to integrate these technologies to achieve operational excellence and competitive advantage has been one of major managerial challenges in modern organizations. Despite the great innovation potential that could be released by using these technologies, there are also some downsides coming along with it. Thus, researchers and practitioners alike also need to learn to deal with issues like IS misuse, obsessive and compulsive IS use, information overload, technostress, and/or technology addiction. This track seeks research inspiring theoretical, methodological, and practical insights in adoption and diffusion of innovative technologies at organizational, industry, societal, and global level. This track especially welcomes the use of different research methodologies to explore the behavioral, cultural or managerial issues associated with the adoption and diffusion of information technology.

To see information on SIGADIT Mini-tracks, click here.

Asia-Pacific (SIGISAP)

TRACK DESCRIPTION

The 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 this conference 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.

To see information on SIGISAP Mini-tracks, click here.

Decision Support and Analytics (SIGDSA)

TRACK DESCRIPTION

Technological innovations and novel applications in unprecedented areas are changing the way organizations and the society at large consume data and information. For instance, big data created by social media computing and the Internet of Things (IoT) is revolutionizing the way individuals communicate and live. It has led to the need for the creation of new and innovative tools and techniques for advanced analytics to gain valuable insights for organizations. The ability to manage (big) data, information and knowledge to gain competitive advantage, and the importance of business analytics for this process has been well established. Information and knowledge created through analytics driven by big data has become necessary for innovation and survival in the current business environment.

Since this is a rapidly evolving area, organizations continue to expend time and resources to enhance and develop new decision support applications and advance analytics to garner insights and knowledge. Research contributions in this space inform industry on how to handle the various organizational and technical opportunities and challenges when working with big data, knowledge management and analytics. From research on managerial concerns (such as strategy, governance, leadership), process-centric approaches and inter-organizational aspects of decision support to research on technical considerations when incorporating new data sources and new frameworks for big data, analytics and knowledge management, academic endeavors in this space provide insights on a dynamic and highly relevant field within information systems. This research track seeks research that promotes theoretical, design science, pedagogical, and behavioral research as well as emerging applications in innovative areas of analytics, big data, and knowledge management.

Research areas in big data, analytics and knowledge management (KM) include but are not limited to: data analytics & visualization; curation, management and infrastructure for (big) data; standards, semantics, privacy, security and legal issues in big data, analytics and KM; performance analysis, intelligence and scientific discovery in big data, analytics and KM and the like; analytics applications in smart cities, sustainability, smart grids and the like; business process management applications such as process discovery, conformance and mining using analytics and KM..

To see information on SIGDSA Mini-tracks, click here.