[AISWorld] Book in IT Service Management/Engineering supported by intelligent DSS: call for chapters!

Fri Aug 24 10:13:50 EDT 2012

We have extended the deadline to October 31, 2012 for submitting
a chapter for the forthcoming book on "Engineering and Management of
IT-based Service Systems: an Intelligent Decision-making Support Systems
Approach". This dual theme is arid. We ask a collaborative participation
of experts in ITSM for proposing requirements for intelligent tools for
supporting ITSM tasks and experts in intelligent systems for elaborating
proposals of mechanisms/systems to help ITSM tasks. Thanks for plausible
interest. Both type of chapters are welcome!
Guest editors
Manuel Mora / Jorge Marx / Leonardo Garrido / Francisco Cervantes

========================================================================
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). Furthermore, several ITSM process models
and standards are available (ITIL v2, ITIL v3, ISO/IEC 20000, CMMI-SVC,
ITUP, MOF 4.0, and CobIT 5.0). 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/DSS) 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/DSS 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:

Chesbrough, H. and Spohrer, J. (2006). A research manifesto for services
science. Communications of the ACM. 49(7). 35–40.

Dermikan, H., Spohrer, J. and Krishn, V. (2011). Introduction of the
Science of Service Systems. In:  H. Demirkan, J. Spohrer, and V. Krishna
(Eds). The Science of Service Systems. Service Science: Research and
Innovations in the Service Economy Series, Springer, New York, 1-10.

Eom, S. (1998). An Overview of Contributions to the Decision Support
Systems Area from Artificial Intelligence.  Proceedings of the AIS
Conference (1998), Baltimore, MA, USA, August 14-16.

Forgionne, G.A., Gupta, J. N. D., Mora, M. (2002). Decision making support
systems: Achievements, challenges and opportunities: In : Mora, M.,

Forgionne, G., Gupta, J.N.D. (Eds.) :Decision making support systems:
achievements and challenges for the new decade. Idea Group, Hershey, PA,
392-403.

Goul, M., Henderson, J., Tonge, F. (1992). The Emergence of Artificial
Intelligence as a Reference Discipline for Decision Support Systems
Research. Decision Sciences, 23, 1263-1276.

IfM and IBM. (2008). Succeeding through Service Innovation: Developing a
Service Perspective for Education, Research, Business and Government.
Cambridge, UK: University of Cambridge Institute for Manufacturing.

Mora, M., O’Connor, R., Raisinghani, M., Macias-Luevano, J. & Gelman, O.
(2011).  An IT Service Engineering and Management Framework (ITS-EMF).
International Journal of Service Science, Management, Engineering and
Technology (IJSSMET), 2(2), 1-16.

Phillips-Wren, G., Mora, M., Forgionne, G., and  Gupta, J. (2009). An
Integrative Evaluation Framework  for Intelligent Decision Support
Systems. European Journal of Operational Research (EJOR), 195(3), 642-652.

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:

 October 31, 2012 – submission deadline of first version of full
chapters.
 December 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 full chapter before or on October 31,
2012, to Dr. Manuel Mora at mmora at securenym.net with copy to
dr.manuel.mora.uaa at gmail.com. Each chapter will be evaluated by at least
two academic peers on related themes in a blind mode. 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.zip?SGWID=0-0-45-392600-0

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

========================================================================