[AISWorld] CFP - Decision Support Systems Special Issue On "Data, Information and Analytics as Services"

[Haluk Demirkan]

Reminder for Decision Support Systems Special Issue On "Data,
Information and Analytics as Services"
Deadline for full paper submissions: August 30, 2010

CALL FOR PAPERS: Decision Support Systems
Special Issue On "Data, Information and Analytics as Services"

Purpose. Service oriented thinking is one of the fastest growing
paradigms in today's economy. Most of the organizations have already
built (or in a process of building) decision support systems that
support agile data, information and analytics capabilities as services.
The concept of data and information-as-services basically advocates the
view that - with the emergence of service-oriented business processes,
architecture and infrastructure which includes standardized processes
for accessing data "where it lives" - the actual platform on which the
data resides doesn't matter. Data can reside in a local computer or a
server at a server farm in a cloud computing environment. With
data-as-a-service, any business process can access data wherever it
resides. Data and information as-a-service began with the notion that
data quality could happen in a centralized place, cleansing and
enriching data and offering it to different systems, applications or
users. Also, the concept of analytics-as-a-service - by some referred to
as Agile Analytics - is turning utility computing and virtualization
into a service model for analytics. 
This call for papers encourages research that will help us to achieve
multiple objectives in the context of the multiple disciplines. First,
we need to understand the impacts of service orientation on data,
information and analytics. Second, we need to investigate how data,
information and analytic services different from traditional data
access, manipulation and distribution frameworks. Third, we wish to
provide a basis for evaluating relevant technical and managerial
approaches to service-oriented data, information and analytics. We also
wish to encourage the identification of appropriate governance
mechanisms. The new design and management ideas related to these
services should overcome current limitations and support enhanced
performance in practice.

Editors. The review process for submitted papers to DSS will be handled
in an expedited manner by:
* Dursun Delen, Oklahoma State University, dursun.delen at okstate.edu
(special issue co-editor)
* Haluk Demirkan, Arizona State University, haluk.demirkan at asu.edu
(special issue co-editor)

Topics. This call for papers seeks foundation-building research on
service oriented data, information and analytics that explores:
technical, managerial, strategic, social, and public policy challenges;
organizational, economic and social issues; and innovative design
science applications in the decision support domains to deliver
services. We seek high-quality, original contributions on the following
topics:

* Principles, theories, concepts and approaches for service oriented
data, information and analytics
* Methods, tools, and techniques for developing the underlying
functional aspects of data, information and analytics as services
* Developing user functionalities and interfaces with services
* Design issues, challenges and opportunities in agile analytics
* Decision models and decision support systems for service-related
management and operations
* Economics, measurements, impacts of this paradigm on individuals,
organizations and societies
* Emerging technologies and techniques, governance mechanisms,
co-production methodologies
* Intra- and inter-service engineering, integration and management
* Collaborative service management in  B2B and B2C e-commerce, service
negotiation, operations, and management
* Services integration, security, privacy and trust; risk management
practices in services-oriented settings
* Quality and cost, and the economics of technology services
* Service-oriented enterprise industry standards and solution stacks
* Self-service technologies and management
* Composite data, information and analytics to support service mashups
* Value co-creation with data, information, analytics and decision
services

Submission Guidelines. Only original research papers will be considered.
Papers should be submitted directly to the editors of the special issue
via email (outside of the online submission system of DSS). The
submission should contain the following information (i) the title; (ii)
the name(s) and institutional affiliation(s) of the author(s); (iii) an
abstract of not more than 100 words and keywords. Furthermore, it is
strongly recommended to include biographical note(s). The submission
must not exceed 34 pages, including abstract, keywords, tables, figures,
all references and appendices, and should be typed double-spaced
throughout with one-inch margins and using 11 point font. Tables,
figures and legends for figures should be on separate pages at the end
of the paper. Authors should consult the Instructions for Authors
section of the journal at 
http://www.elsevier.com/wps/find/journaldescription.cws_home/505540/auth
orinstructions. 

Interested authors are recommended to submit extended abstracts of no
more than two pages for their planned submissions.  This will give the
editorial team of the special issue an opportunity to determine if a
given submission is appropriate for expedited handling and review. Full
papers should be submitted by email to Dursun Delen at
dursun.delen at okstate.edu.   

Timeline. The planned timeline for special issue development is:
August 30, 2010		Deadline for full paper submissions
November 30, 2010		First round of reviews provided to the
authors
February 30, 2011		Deadline for submitting revisions of
papers
May 30, 2011		Final decisions on acceptance of papers

Collegially,
Dursun Delen & Haluk Demirkan

Haluk Demirkan, Clinical Associate Professor & Research Faculty, Center
for Services Leadership
W. P. Carey School of Business, Arizona State University
haluk.demirkan at asu.edu;
http://wpcarey.asu.edu/Directory/stafffaculty.cfm?cobid=2012898