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<p class="MsoNormal" style="margin-bottom:12.0pt"><span lang="EN-US" style="color:black">[Apologies for cross-posting]</span><span lang="EN-US" style="font-size:10.0pt;font-family:"Tahoma","sans-serif";color:black"><o:p></o:p></span></p>
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<h1><span lang="EN-US" style="font-size:12.0pt;font-family:"Times New Roman","serif";color:#1F497D;font-weight:normal">FINAL:
</span><span lang="EN-US" style="font-size:12.0pt;font-family:"Times New Roman","serif";color:black;font-weight:normal">CFP HICSS minitrack:
</span><span lang="EN-US" style="font-size:12.0pt;font-family:"Times New Roman","serif";color:black">Organizational Issues</span><span lang="EN-US" style="font-size:12.0pt;font-family:"Times New Roman","serif";color:black;font-weight:normal"> for Big Data,
Business Analytics and Business Intelligence</span><span lang="EN-US" style="color:black"><o:p></o:p></span></h1>
<p class="MsoNormal"><span style="color:black">Track: Organizational Systems and Technology
<br>
</span><span lang="EN-US" style="color:black"><br>
48<sup>th</sup> Hawaii International Conference on System Sciences (HICSS) 48, January 5-8, 2015, Kauai, Hawaii
<a href="http://www.hicss.hawaii.edu/">http://www.hicss.hawaii.edu/</a><br>
<br>
<br>
</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black">Minitrack focus:</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black">The provision of the right data with appropriate quality according to the needs of decision makers or automated processes is crucial for successful operations of companies
and government agencies. Management Information Systems, Decision Support Systems, Executive Information Systems, interactive online analysis (OLAP), data mining, dashboards, predictive analytics and recently ‘big data’ analytics are examples for the historic
advancement of business analytics / business intelligence (BA/BI) concepts for the front-end, while databases, data warehousing and recently ‘big data’ are examples for the development of the underlying technical infrastructure concepts. The smart combination
of task-oriented front-end innovations and technology-driven infrastructure innovations allows for enhanced decision speed, more efficient extracting, cleaning, and aggregating data from source systems, maintaining and analyzing larger data sets, and demand-oriented
access to data.</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black">From an information systems perspective, business analytics, business intelligence and ‘big data’ constitute a dynamic, fascinating and highly relevant field of research.
This includes managerial considerations (BA/BI strategy, BA/BI organization and governance, BA/BI value, data quality management, etc.), process-centric business intelligence, and inter-organizational aspects. As organizations are learning how to leverage
‘big data’ (including social media data, mobile data, web data and network data) new innovative applications are expected to emerge, and with them new research challenges, yet to be discovered.</span><span lang="EN-US" style="color:black">
<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black"> </span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black">This minitrack will accept papers with a managerial, an economic, a methodological or a design perspective on the above topics.
<i>The main emphasis is placed on the business and organizational aspects of </i>
BA/BI<i> and ‘big data’ rather than technology.</i> Contributions from the fields of theory building, design research (methods and models), action research as well as analyses of existing or innovative applications are welcome.</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black"> </span><span lang="EN-US" style="color:black">
<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black">Topics of interest include, but are not limited to:</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<h2><span lang="EN-US" style="font-size:12.0pt;font-family:"Times New Roman","serif";color:black">*Emerging Trends:</span><span lang="EN-US" style="color:black"><o:p></o:p></span></h2>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Big Data analytics</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Real-time warehousing and operational business intelligence</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Mobile and pervasive BA/BI
</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Social media analytics</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Innovative applications of advanced business analytics
</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Cloud, Big Data, BA/BI</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Self-service BA/BI </span>
<span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Agile BI</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><i><span lang="EN-US" style="color:black"> </span></i><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<h2><span lang="EN-US" style="font-size:12.0pt;font-family:"Times New Roman","serif";color:black">*Applications:</span><span lang="EN-US" style="color:black"><o:p></o:p></span></h2>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Collaborative BA/BI and collaborative big data analytics</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Performance management and dashboards</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Predictive and prescriptive analytics</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Customer Relationship Management</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Supply Chain Management</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-E-commerce</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Data mining</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Decision support systems</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Graphical information systems and spatial analytics</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT" style="color:black">-Social BI (Social media & BI)</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Open data and BA/BI </span>
<span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Visual analytics </span>
<span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<h2><span lang="EN-US" style="color:black"><o:p> </o:p></span></h2>
<h2><span lang="EN-US" style="font-size:12.0pt;font-family:"Times New Roman","serif";color:black">*Managerial Issues</span><span lang="EN-US" style="color:black"><o:p></o:p></span></h2>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Business challenges of Big Data</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Maturity models </span>
<span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-BA/BI and big data strategy</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Security, privacy and ethical issues</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Industry-specific data warehousing</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Integration of structured and un-structured data</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Development methodologies</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Business value and BA/BI success</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-BA/BI and Big data governance</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-BA/BI challenges in non-profit organizations</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">-Data quality </span>
<span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black">Excellent papers will be encouraged to be submitted to the
<i>Journal of Business Intelligence</i> and other relevant journals.<b> </b></span><span lang="EN-US" style="color:black">
<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black">Minitrack Co-Chairs:</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.5pt;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.5pt;color:black">Olivera Marjanovic, University of Sydney Business School, Australia (Primary chair) <<a href="mailto:olivera.marjanovic@sydney.edu.au">olivera.marjanovic@sydney.edu.au</a>></span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.5pt;color:black">Thilini Ariyachandra,
</span><span lang="EN-US" style="color:black">Williams College of Business, Xavier University, USA
</span><span lang="EN-US" style="font-size:11.5pt;color:black"><<a href="mailto:ariyachandrat@xavier.edu">ariyachandrat@xavier.edu</a>>
</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black">Chemnitz University of Technology, Germany</span><span lang="EN-US" style="font-size:11.5pt;color:black"> <<a href="mailto:barbara.dinter@wirtschaft.tu-chemnitz.de">barbara.dinter@wirtschaft.tu-chemnitz.de</a>>
</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black"> </span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black">Papers Due: June 15, 2014 via the HICSS conference system
<a href="http://www.hicss.hawaii.edu/hicss_48/apahome48.htm">http://www.hicss.hawaii.edu/hicss_48/apahome48.htm</a></span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black"> </span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black">About HICSS conferences:<br>
<a href="http://www.hicss.hawaii.edu/hicss_48/apahome48.htm">http://www.hicss.hawaii.edu/hicss_48/apahome48.htm</a><br>
Now in its 48th year, the Hawaii International Conference on System Sciences (HICSS) is one of the longest-standing continuously running scientific conferences. This conference brings together researchers in an aloha-friendly atmosphere conducive to free exchange
of scientific ideas. Unique characteristics of the conference include:<br>
* A matrix structure of tracks and themes that enables research on a rich mixture of computer-based applications and technologies.<br>
* Three days of research paper presentations and discussions in a workshop setting that promotes interaction leading to additional research.<br>
* A full day of Symposia, Workshops, and Tutorials. See Program Components for additional detail.<br>
* A truly international experience with participants usually from over 40 countries, (approximately 50% non-US).<br>
* Papers published in the Proceedings by the IEEE Computer Society Press and carried in the IEEE digital library Xplore. Access to HICSS papers is in the top 2% of IEEE Conferences.<br>
* Paper presentations and discussions which frequently lead to revised and extended papers that are published in journals, books, and special issues.<br>
* A keynote address and distinguished lecture which explore particularly relevant topics and concepts.<br>
<br>
* Best Paper Awards<<a href="http://www.hicss.hawaii.edu/hicss_47/bestpapers2014.htm">http://www.hicss.hawaii.edu/hicss_47/bestpapers2014.htm</a>> in each track which recognize superior research performance.<br>
<br>
* HICSS is the #1 IS conference in terms of citations as recorded by Google Scholar.<br>
Recent research that shows HICSS ranked second in citation ranking among 18 Information Systems (IS) conferences, ranked third in value to the MIS field among 13 Management Information Systems (MIS) conferences, and ranked second in conference rating among
11 IS conferences. The Australian Government's Excellence in Research project (ERA) has given HICSS an "A" rating.</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-US" style="color:black">Important deadlines for authors:<br>
* June 15: Submit full manuscripts for review. Review is double-blind.<br>
* Aug 15: Review System emails Acceptance Notices to authors.<br>
* Oct 1: Early Registration fee deadline. (Fees will increase<br>
on Sept 16 and Dec 1.) Early Registration fee: $625<br>
* Oct 2: General Registration Fee begins: $695 (Registration price remains through December 1, 2014)<br>
* Oct 15: Papers without at least one registered author will<br>
be deleted from the Proceedings; authors will be so notified.<br>
* Dec 2: Late Registration fee beings: $795 (Registration price remains through conference)</span><span lang="EN-US" style="color:black"><o:p></o:p></span></p>
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