Call for Chapters,
Book on: “Engineering and Management of IT-based Service Systems:
An Intelligent Decision-Making Support Systems Approach”
“Intelligent Systems Reference Library”
Springer-Verlag, London Ltd
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).
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,
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
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.
Deadline extended to Dec 15th…
* September 30, 2012 – submission deadline of first version of full
* November 15, 2013 – notification deadline of editorial results
(definitively accepted chapter, conditioned chapter, or definitively
* 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
* November to December 2013 – estimated publishing period.
Interested authors, please send your full chapter before or on September
30, 2012, to Dr. Manuel Mora at firstname.lastname@example.org with copy to
email@example.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:
Manuel Mora, EngD, Autonomous University of Aguascalientes, Mexico
Manuel Mora <firstname.lastname@example.org>
Jorge Marx Gómez, PhD, Oldenburg University, Germany
Leonardo Garrido, PhD, Tecnológico de Monterrey, Campus Monterrey, México
Francisco Cervantes-Pérez, PhD, CCADET, UNAM, México