-------- Original-Nachricht -------- Betreff: [AISWorld] CFP - Decision Support Systems Special Issue On "Data, Information and Analytics as Services" Datum: Fri, 28 May 2010 01:19:04 -0700 Von: Haluk Demirkan Haluk.Demirkan@asu.edu An: aisworld@lists.aisnet.org CC: Haluk Demirkan Haluk.Demirkan@asu.edu, "Delen, Dursun" dursun.delen@okstate.edu

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@okstate.edu (special issue co-editor) * Haluk Demirkan, Arizona State University, haluk.demirkan@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@okstate.edu.

Timeline. The planned timeline for special issue development is: June 15, 2010 Extended deadline for recommended abstract submissions 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@asu.edu; http://wpcarey.asu.edu/Directory/stafffaculty.cfm?cobid=2012898

_______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org