CFP-Minitrack: The Internet of Things and Big Data Analytics, The 48th Annual Hawaii International Conference on System Sciences (HICSS 2015): January 5-8, 2015, Grand Hyatt, Kauai, Hawaii

 

48th Annual Hawaii International Conference on System Sciences: January 5-8, 2015, Grand Hyatt, Kauai, Hawaii

 

Minitrack:  The Internet of Things and Big Data Analytics; Track: DECISION ANALYTICS, MOBILE SERVICES AND SERVICE SCIENCE Track

 

http://www.hicss.hawaii.edu/HICSS_48/Tracks/DA/DAInternetofThings.pdf

 

This minitrack addresses issues organizations face as they seek to make use of data collected from mobile tracking devices such as radio frequency identification (RFID) technology and other RF-related tracking and sensor technologies.  Big data analytics is currently generating tremendous fascination worldwide.  This trend is largely driven by the pervasive diffusion and adoption of mobile devices, social media tools, and the Internet of Things (IoT) or Web of Things (WoT) due to RFID and other RF-related tracking and sensor devices.

 

The IoT allows the possibility of tracking and tracing any tagged mobile object as it moves through the value chain thus producing unprecedented end-to-end supply chain visibility.  This creates tremendous opportunities for operational and strategic benefits.  However, the effective management of this new visibility for improved decision making requires the combination and analysis of data from item-level identification using RFID, sensors, satellites, social media feeds, photos, video and cell phone GPS signals; in short, big data analytics.  While the IoT and big data analytics have tremendous potential for transforming various industries, many scholars and practitioners are struggling to understand these concepts and capture the business value from combining the IoT and big data analytics.  In addition, very few empirical studies have been conducted to assess the real potential of the IoT and big data analytics.

 

We encourage authors to share new and interesting theoretical and methodological perspectives on topics relevant to both academic researchers and practitioners.  We welcome work-in-progress that examines existing and extended theory using the IoT and big data analytics as the technologies of focus and case studies of organizations implementing the IoT and big data analytics inside and outside their span of control.  We give special consideration to research submissions when the author(s) commit to include an industry partner in their presentation.  We welcome research that reflects a range of current research methods including case studies, analytical models, econometrics, and frameworks.

 

The following areas are suggestive of the range of topics that are considered suitable:

 

·         Detailed case studies of the IoT and big data analytics implementation and usage

·         Methods for developing the business case for the IoT and big data analytics adoption

·         Forecasting the technical evolution of the IoT and big data analytics and their combined relationship to the economics of usage

·         Impact of data-driven organizations using data from RF-related tracking and sensor devices on decision making

·         IoT and big data-enabled e-commerce business models

·         IoT and big data-enabled enterprise and network transformation

·         IoT and big data-enabled supply chain management (SCM)

·         IoT and big data-enabled customer relationship management (CRM)

·         IoT and big data for industry-wide transformation

·         Technical integration of the IoT and big data analytics tools with other applications

·         Understanding the technical capabilities and limitations of the IoT and big data analytics

·         Aligning inter-organizational governance, incentives, and ownership when the visibility in the supply chain is increased

·         Safeguarding security and privacy in an environment of the IoT and big data analytics

·         Mathematical properties of data analytics methods and statistical techniques

 

Minitrack Co-Chairs

 

Fred Riggins (Primary Contact)

Accounting, Finance and MIS Dept

College of Business

North Dakota State University

Fargo, ND  58108-6050

Tel: (701) 231-5102               Fax:  (701) 231-6545

fred.riggins@ndsu.edu

 

 

Samuel Fosso Wamba

Department of Information Systems, Supply Chain and Decisions

NEOMA Business School

1 Rue du Marechal Juin

BP 215, 76825 Mont Saint Aignan Cedex

samuel.fosso.wamba@neoma-bs.fr

 

Matthias Dehmer

Institute for Bioinformatics and Translational Research

UMIT - The Health and Lifesciences University

Tyrol, Austria

Tel: +43 (0)50 8648 3851

matthias.dehmer@umit.at

 

 

SUBMISSION PROCESS BY AUTHORS

 

2014 Dates

 

June 15: Submit full manuscripts for review. Review is double-blind; therefore this submission must be without author names.

 

Aug. 15: Review system emails Acceptance Notices to Authors. It is important that at least one author of each accepted paper attend the conference. Therefore, all travel guarantees-including visa or fiscal, funding procedures-should begin immediately. Make sure your server accepts the address from our review system https://precisionconference.com/~hicss. At least one author of each accepted paper must immediately make plans to attend the conference, including initiating fiscal, visa, or other travel guarantees.

 

Sep 15: Early Registration fee deadline. (Fees will increase on Sept 16 and Dec 1.) At least one author of each paper should register by Sept 15 in order secure publication in the Conference Proceedings. Add author names, and submit Final Paper for Publication to the Submission site (not previous review site).

 

Oct 15: Papers without at least one registered author will be deleted from the Proceedings; authors will be so notified.

 

Conference Dates: Grand Hyatt Kauai January 5-8, 2015.

 

For more information, visit: http://www.hicss.hawaii.edu/hicss_48/apahome48.htm