-------- Original-Nachricht -------- Betreff: [AISWorld] IT Services engineering and management and iDMSS: call for chapters Datum: Thu, 21 Jun 2012 11:59:01 -0500 (CDT) Von: mmora@securenym.net An: aisworld@lists.aisnet.org

============================================================================ Call for Chapters. ============================================================================ Book on: "Engineering and Management of IT-based Service Systems: an Intelligent Decision-making Support Systems Approach"

Book series: "Intelligent Systems Reference Library" Springer-Verlag, London Ltd http://www.springer.com/series/8578

BOOK?S RATIONALE: A service economy has been recognized as the dominant paradigm in present times (Chesbrough and Spohrer 2006). Such a service-oriented worldview demands new engineering and management scientific (both fundamental and applied) knowledge to cope with the planning, design, building, operation and evaluation (including the disposal of non adequate) IT-based service systems (IfM and IBM 2008). Such challenges emerge from the paradigm shift from a product-based manufacturing economy to this new service-oriented one (Dermikan et al. 2011). In turn, Intelligent Decision-Making Support Systems (i-DMSS) are specialized IT-based systems that support some or several phases of the individual, team, organizational or inter-organizational decision making process by deploying some or several intelligent mechanisms (Forgionne et al. 2002; Phillips-Wren et al. 2009). In particular, Artificial Intelligence (AI) has been recognized as a significant enhancement tool for DMSS (Goul et al. 1992; Eom, 1998) since several decades. However, the utilization of i-DMSS for engineering and management of IT-based service systems is still scarce. We believe that fostering its research and utilization is relevant and needed for advancing the progress of IT-service systems. Consequently, in this book will pursue to following academic aims: (i) generate a compendium of quality theoretical and applied contributions in Intelligent Decision-Making Support Systems (i-DMSS) for engineering and management IT-based service systems (ITSS); (ii) diffuse scarce knowledge about foundations, architectures and effective and efficient methods and strategies for successfully planning, designing, building, operating, and evaluating i-DMSS for ITSS, and (iii) create an awareness of, and a bridge between ITSS and i-DMSS academicians and practitioners in the current complex and dynamic engineering and management ITSS organizational (Mora et al. 2011). (References available upon request).

TOPICS OF INTEREST:

High quality fundamental or applied research-oriented chapters are welcome on the following key topics:

Section I. Foundations on IT-based Service Systems

Topics: fundamental concepts, models/architectures, frameworks/schemes or theories for planning, designing, building, operating or evaluating IT-based service systems using i-DMSS.

Section II. Cases on Engineering and Management of IT-based Service Systems supported by i-DMSS

Topics: cases of innovative real or potential (proof of concept) i-DMSS applications for supporting the planning, designing, building, operating or evaluating of IT-based service systems in the main service domains such as: financial, legal, healthcare, logistics, educational, and military. AI-based technologies as such: logic rule-based systems, ontology-based systems, machine learning techniques, multi-agent systems techniques, neural networks systems, fuzzy logic systems, cased-based reasoning systems, genetic algorithms techniques, data mining algorithms, intelligent agents, user intelligent interfaces among others are welcome.

Section III. Trends and Challenges on Engineering and Management of IT-based Service Systems supported by i-DMSS

Topics: emergent AI-based technologies, integrations of these technologies, and the implications, challenges and trends for supporting the individual, team, organizational or inter-organizational decision-making processes applied to IT-based service systems, from a technical and organizational perspective.

IMPORTANT DATES:

June 30, 2012 ? submission deadline of a 3-page chapter proposal including title, authors and their affiliations, and a 500-word abstract (chapter goal, problem statement, main related work, research method, and expected contributions), and a list of main references.

July 31, 2012 ? notification deadline of accepted chapter proposals for its full elaboration.

September 31, 2012 ? submission deadline of first version of full chapters.

November 15, 2013 ? notification deadline of editorial results (definitively accepted chapter, conditioned chapter, or definitively rejected chapter).

February 28, 2013 ? submission deadline of second improved version of conditioned chapters.

March 31, 2013 ? notification deadline of definitive editorial decision on conditioned chapters.

April 15, 2013 ? submission deadline of camera-ready versions of accepted chapters.

November to December 2013 ? estimated publishing period.

SUBMISSION PROCESS: Interested authors, please send your 3-page chapter proposal before or on June 30, 2012, to Dr. Manuel Mora at mmora@securenym.net with copy to dr.manuel.mora.uaa@gmail.com. Each chapter proposal will be evaluated by book guest co-editors with support of senior experts in the specific themes. Tentative accepted proposals will be asked to be fully elaborated for their first academic evaluation. It will be realized in a blind-mode by at least two external reviewers. Conditioned chapters will have an additional opportunity for being improved and evaluated. In the second evaluation, a definitive editorial decision among: accepted or rejected will be reported. All of the accepted chapters must be submitted according to the Editorial publishing format rules timely. Instructions for authors can be downloaded at: http://www.springer.com/cda/content/document/cda_downloaddocument/T1-book.zi...

EDITORS: Manuel Mora, EngD, Autonomous University of Aguascalientes, Mexico Jorge Marx Gómez, PhD, Oldenburg University, Germany Leonardo Garrido, PhD, Tecnológico de Monterrey, Campus Monterrey, México Francisco Cervantes-Pérez, PhD, CCADET, UNAM, México ==========================================================================

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