[AISWorld] CFP: Special Issue of Journal of Global Information Technology Management (JGITM)

[Lakshmi Iyer]

Journal of Global Information Technology Management (JGITM), special issue
on Data Analytics and Applications: Global Issues
<https://drive.google.com/file/d/0B9hJRn2SAEsldUhhRDFXRXBoWlE/view>

Papers accepted to the pre-ICIS SIGDSA 2017 symposium
<https://preicis2017sigdsa.wordpress.com/> that align with the theme of the
SI will be eligible to be selected for fast track review.

Important Dates

Two-page proposal by authors (optional)                  October 15, 2017

Proposal Feedback to authors                                   November 15,
2017

Deadline for submission:                                           December
1, 2017

Initial decision and revisions sent to authors             Feb 15, 2018

Deadline for revised papers:                                     March 15,
2018

Notification of 2nd Review cycle:                              June 15, 2018

Deadline for final versions:                                    August 1,
2018

Tentative Publication Date:                                    September
2018

Data analytics involves a systematic study of collection, aggregation,
organization, processing, and analysis of data. With explosive growth in
big data worldwide over the recent decade, organizations are looking for
ways to leverage analytics tools, technologies, and applications from a
global perspective to gather insights for improved decision making. The new
actionable insights gained are expected to support achieving organizational
and community goals at a global scale such as innovation, idea generation,
problem solving, decision making,negotiation, and execution. To make real
impacts, data analytics requires deep understanding of formulating problems
valuable for collaborative goals, engineering effective solutions to
business problems, and ways to communicate findings effectively across
roles ranging from business managers, to users or customers.

One promising way for businesses and organizations to enhance their
performance or competitiveness is by investigating how data analytics can
facilitate collaboration both within and across organizations.  For
example, businesses are trying to understand how data analytics can help
engage customers and improve operation efficiency and how it can leverage
social media to support corporate knowledge management.  Another example is
collaborative generation of ideas and solutions through crowdsourcing and
online communities (such as dominodatalab.com). Access to
heterogeneous,voluminous, and unverified data presents both new
opportunities and challenges for data analysis and applications.
Identifying and building the right talent is a critical component of an
organization’s analytics capability. In addition, organizations also face
new ethical, legal, and regulatory challenges with analytics management and
governance. Such issues take on new perspectives for global organizations.
The purpose of this special issues to solicit research that examines
various analytics issues from a global perspective.
Aims and Scope

This special issue of JGITM aims to advance understanding of global issues
in the context of data analytics and applications.  It would provide a
forum for academic researchers, policy makers and practitioners in data
analytics.  Papers of all theoretical and methodological approaches are
welcome. Submissions that cut across multiple disciplines such as
information systems, marketing, management, organizational
behavior,cultural studies to advance theory and practice are strongly
encouraged for submission. Consistent with the focus of JGITM, all
submitted papers must address global issues associated within the theme of
the special issue.

Possible contributions may include, but are not limited to, the following
topics:

   -

   Global challenges and opportunities in data analytics
   -

   Cross-country comparison of talent issues in the context of data
   analytics
   -

   Collaboration across organizations for social impact through analytics
   -

   Collection, aggregation, and organization of global data for analytics
   -

   Cross country comparison of data analytics use to improve
   health/lifestyle
   -

   Data analytics for collaborative work (decision making, problem solving,
   negotiation, and creativity/innovation) in a global organization
   -

   Data science and analytics for inter-organizational collaboration
   -

   Cross country comparison of crowdsourcing analytics
   -

   Global security and privacy issues in data analytics and applications
   -

   Culture-related human factors in data analytics and applications
   -

   Comparative case studies on data analytics and applications
   -

   Analysis of global online social networks
   -

   Governance issues in the context of data analytics in global
   organizations

Submissions:

The 2-page proposal should be sent directly to the guest editors via email.
The actual paper submission to the special issue should be made on our
editorial website:

http://www.editorialmanager.com/ugit.

All papers will go through a blind-review process.  Each paper will be
reviewed by at least three reviewers and the guest editors. The guest
editors will make acceptance recommendations to the Editor in Chief,
Dr.Prashant Palvia, who will make the final decision.  If there are more
qualified papers than that can be included in the special issue, they will
be published in future issues of JGITM.

The special issue will include the following:

   -

   Editorial preface to be written by the guest editors
   -

   3 or 4 referred papers
   -

   An interview with a CIO or another senior executive of a company
   -

   A book review relevant to the theme of the special issue


Guest Editors:

Lakshmi S. Iyer, Appalachian State University, iyerLs at appstate.edu

Souren Paul, Nova Southeastern University. Souren.paul at gmail.com
Lina Zhou, University of Maryland Baltimore County, zhoul at umbc.edu

________________
Lakshmi Iyer <https://sites.google.com/a/appstate.edu/iyerls/>, Ph.D.
| Professor of IS and Director of Graduate Applied Data Analytics Program
Walker College of Business | Appalachian State University
3140-D Kenneth E. Peacock Hall | 416 Howard Street
Boone, NC 28608 | USA
828-262-6823 <(828)%20262-6823> | iyerLs at appstate.edu |
msanalytics.appstate.edu  <http://msanalytics.appstate.edu>