-------- Original-Nachricht -------- Betreff: [AISWorld] Chapters addressing ITSM and intelligent DSS/DMSS are welcome! Datum: Fri, 3 Aug 2012 10:08:21 -0500 (CDT) Von: mmora@securenym.net An: aisworld@lists.aisnet.org Kopie (CC): leonardo.garrido@itesm.mx, jorge.marx.gomez@uni-oldenburg.de, francisco.cervantes@ccadet.unam.mx
Call for Chapters, Bbook 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:
 September 30, 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 full chapter before or on September 30, 2012, to Dr. Manuel Mora at mmora@securenym.net with copy to dr.manuel.mora.uaa@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.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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