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-------- Original Message -------- Subject: [AISWorld] CFP: special issue on DMSS methodologies (a non-solved problem still) Date: Mon, 6 Dec 2010 13:04:09 -0600 (CST) From: Manuel Mora T. mmora@securenym.net Reply-To: mmora@securenym.net To: aisworld@lists.aisnet.org
********************* CALL FOR PAPERS *********************
SUBMISSION DUE DATE: May 31, 2011
SPECIAL ISSUE ON: DMSS Development Methodologies: a Software-Systems Engineering Approach INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEMS TECHNOLOGY (IJDSST)
Guest Editors: Dr. Manuel Mora, Autonomous University of Aguascalientes, México Dr. Miroljub Kljajic, University of Maribor, Slovenia Dr. Fen Wang, Central Washington University, USA Dr. Ovsei Gelman, CCADET, Universidad Nacional Autónoma de México, México,
INTRODUCTION: DMSS are developed for delivering process and outcome value to individual and group-based decision-making processes (Forgionne 2000). DMSS can be considered as full technological systems; however, from a systemic view (Ackoff 1967; Kljajic and Farr, 2008), DMSS can be also defined as sub-systems of organizational management information systems that interactively support the decision-making process (Simon et al., 1997) of individuals and groups in life, public, and private organizations. Classic DMSS include Decision Support Systems (DSS) (model-based DSS including analytic, statistical-based and simulation-based types), Executive Information Systems (EIS), Expert Systems (ES), Knowledge Based Systems (KBS), and Creativity Enhancing Systems (CES) (Forgionne et al. 2005). Other DMSS, such as Executive Support systems (ESS), Management Support Systems (MSS), Artificial Intelligent Decision Support Systems (IDSS), and Decision Technology Systems (DTS), integrate the functions of DSS, EIS, ES, KBS, or CES, to provide more comprehensive support than the individual separate systems (Turban and Watson 1994; Forgionne 1991; Forgionne and Kohli 2000; Nichols and Goul 2005). Emergent and modern widely used DMSS are data-based DSS (Gray and Watson 1998; March and Hevner, 2007), Group Support Systems (Nunamaker et al. 1997; Pervan 1998), and spatial DSS (Keenan 2003; 2006). Despite their organizational success, DMSS have been developed during the last 40 years from a more art-based approach (by using general development schemes) than from Software-Systems Engineering methods (Gachet and Haettenschwiler, 2006). While several coarse-grain development paradigms such as: prototyping evolutive (Courbon 1980; Alavi and Henderson 1981; Mahmood and Medewitz 1985), adaptive (Keen 1980; Alavi and Napier 1984), or Representation-based method (Carlson 1979) have been reported, as well as general requirements engineering methods for related DMSS (for DSS see Meador et al. 1984; for EIS see Watson et al. 1991; and for Expert Systems see Turban and Aronson 1998), few software-systems engineering-based approaches (Saxena 1991; Sage 1991; Holsapple and Winston 1996; Manjarrez and Pickin 2002; Mora et al. 2010) have been used. In contrast with other types of IS, where well-structured systems development methodologies have been posed and used more systematically, practitioners and academics are confused about the available DMSS development methodologies. Consequently, organizations develop DMSS in particular modes. We believe that this DMSS topic has been taken for granted, but evidences show few standardized DMSS development methodologies (Gachet and Haettenschwiler 2006). Furthermore, DMSS development methodologies are considered as an implementation success factor (Einierman et al. 1995; Turban 1992; Watson et al. 1991) and their selection and correct application cannot be overlapped.
OBJECTIVE OF THE SPECIAL ISSUE: Thus, in this special issue we invite researchers and practitioners to report high quality research papers on advances on both classic DMSS (model-based DMSS such as DSS, EIS, ES) and emergent and modern DMSS (data-oriented DSS, spatial DSS, and GSS) development methodologies using a robust Software-Systems Engineering approach (Jalote 1997; Sage 1981; Kljajic and Farr 2008).
RECOMMENDED TOPICS: Topics to be discussed in this special issue include (but are not limited to) the following:
? Descriptions and proofs of concept of DMSS development methodologies ? Comparison studies on DMSS development methodologies ? Foundations on the expected characteristics for a DMSS development methodology ? Contribution from Systems and Software Engineering to DMSS developments ? DMSS development tools and methodologies ? Survey studies on DMSS development methodologies used in the practice ? Business Intelligence and DMSS development methodologies ? Data Mining and DMSS development methodologies ? Cognitive aspect of DMSS development methodologies ? Challenges for DMSS development methodologies ? Academic teaching of DMSS development methodologies ? Industrial training of DMSS development methodologies
SUBMISSION PROCEDURE: Researchers and practitioners are invited to submit papers for this special theme issue on ?DMSS Development Methodologies: a Software-Systems Engineering Approach? on or before May 31, 2011. All submissions must be original and may not be under review by another publication. Interested authors should consult the journal?s guidelines for manuscript submissions at http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.
ABOUT INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEMS TECHNOLOGY ( IJDSST): The primary objective of the International Journal of Decision Support System Technology (IJDSST) is to provide comprehensive coverage for DMSS technology issues. The issues can involve, among other things, new hardware and software for DMSS, new models to deliver decision-making support, dialog management between the user and system, data and model base management within the system, output display and presentation, DMSS operations, and DMSS technology management. Since the technology?s purpose is to improve decision making, the articles are expected to link DMSS technology to improvements in the decision-making process as well as its outcomes. This link can be established theoretically, mathematically, or empirically in a systematic and scientific manner.
This journal is an official publication of the Information Resources Management Association.
Editor-in-Chief: Professor Pascale Zarate, IRIT, France Published: Quarterly (both in Print and Electronic form)
PUBLISHER: The IJDSST is published by IGI Global (formerly Idea Group Inc.), publisher of the ?Information Science Reference? (formerly Idea Group Reference), ?Medical Information Science Reference?, ?Business Science Reference?, and ?Engineering Science Reference? imprints. For additional information regarding the publisher, please visit www.igi-global.com.
All submissions should be directed to the attention of:
Dr. Manuel Mora, Autonomous University of Aguascalientes, México Lead guest editor, IJDSST E-mail: mmora@securenym.net
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