-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] HICSS-50 Decision Analytics Track Call for Papers Datum: Tue, 23 Feb 2016 06:52:12 -0500 Von: Alberto Espinosa alberto@american.edu An: aisworld@lists.aisnet.org

Title: Big Data Analytics: Concepts, Methods, Techniques and Applications Co-Chairs: Stephen H. Kaisler; Frank Armour; J. Alberto Espinosa

HICSS is turning 50!!

Big Data Analytics: Concepts, Methods, Techniques, and Applications

This minitrack focuses on the use of big data and analytics to enable businesses and organizations to optimize their operational practices, improve their decision-making, and better understand and provide more effective services to their customers and clients. We seek papers in all areas of big data and analytics, including storage, management, usage case studies, innovative applications, and enabling technology. Relevant papers on the development of strategy for deploying big data and analytics in distributed organizations, the effects of big data and analytics on organizational behavior, and the development of big data analytics are sought. Papers are sought on developing an analytic cadre, including curriculum concepts, in-house training, and skills development and measurement.

In our book titled: ?Obtaining Value from Big Data for Service Delivery? we presented knowledge framework to serve as a basis for grounding Big Data and Business Analytics curricula. The framework is composed of key knowledge layers, including: basic foundations (e.g., mathematics, statistics, software programming, big data architectures); analytics/big data (e.g., descriptive, predictive, prescriptive and visual analytics); functional domain of analysis (e.g., marketing, healthcare, accounting forensics, etc.); and managerial, strategic and organizational aspects (e.g., data governance, security, privacy, human resource management, the business value of big data and analytics investments, etc.). In order to advance knowledge in big data and analytics, we must develop active research agendas in all five layers. We seek research papers on any of these five layers and also those that address the structure and evaluation of curriculum design, implementation and evaluation for big data and analytics.

Papers are solicited in several areas, including, but not limited to the following:

- Challenges in managing big data repositories and projects, including data governance - Graph analytics ? both syntactic and semantic ? that play a big role in the exploitation of social media data - Advanced analytics, ? emphasizing visual analytics and non-numeric analysis models and their implementation - Scalable semantic annotation and reasoning across big data stores - Metrics for assessing the impact of big data in business, scientific, and governmental decision-making. - Advances in analytics in specific functional domains - Managerial, strategic and organizational aspects of big data and analytics.

Papers presenting case studies, infrastructure and technology advances, theoretical perspectives at the petascale and beyond, and emerging concepts are also sought.

More information about HICSS-50 may be found at http://www.hicss.org/.

If you wish to discuss a paper concept before submitting a paper, please contact Steve Kaisler or Frank Armour. We will be happy to discuss your paper concept with you.

Kindly, Minitrack Co-Chairs

Stephen H. Kaisler, D.Sc. (Skaisler1@comcast.net) SHK & Associates

Frank Armour, Ph.D. (farmour@american.edu) J. Alberto Espinosa, Ph.D. (alberto@american.edu) Kogod School of Business American University _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org