from DSSResources.comCall for papers: Special issue of IJDSST on DMSS Development Methodologies: a Software Systems Engineering Approach, due May 31, 2011February 26, 2011 -- A call for papers has been issued for a special issue of the International Journal of Decision Support System Technology (IJDSST). The special issue topic is DMSS Development Methodologies: a Software Systems Engineering Approach. Guest Editors are: Dr. Manuel Mora, Autonomous University of Aguascalientes, México; Dr. Miroljub Kkljajic, University of Maribor, Slovenia; Dr. Feng Wang, Central Washington University, USA; Dr. Ovsei Gelman, CCADET, Universidad Nacional Autónoma de México, México. AIM OF THIS SPECIAL ISSUE DMSS have been developed during the last 40 years from a more art-based approach than engineering one (Gachet & Haettenschwiler, 2006). While several coarse-grain development paradigms such as: prototyping evolutive (Courbon, 1980; Alavi & Henderson, 1981; Mahmood & Medewitz, 1985), adaptive (Keen, 1980; Alavi & 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 & Aronson, 1998), few systems and software engineering-based approaches (Saxena, 1991; Sage, 1991; Holsapple & Winston, 1996; Manjarrez & 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 on the available DMSS development methodologies. Consequently, organizations develop DMSS in particular modes. We believe that this DMSS topic has been taken by grant, but evidences show few standardized DMSS development methodologies (Gachet & Haettenschwiler, 2006). Furthermore, DMSS development methodologies are considered as an implementation success factor (Einierman et al., 1995; Turban, 1992; Watson et al., 1991) and its selection and correct application cannot be overlapped. Thus, in this special issue we invite researchers and practitioners to report high quality research papers on advances on DMSS (model-based DMSS such as DSS, EIS, SBDS and ES) development methodologies from a robust Software Systems Engineering approach (Jalote, 1997; Sage, 1981; Kljajic & Farr, 2008). Topics of interest are 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 DESCRIPTION AND MISSION OF THE IJDSST The primary objective of the International Journal of Decision Support System Technology is to provide comprehensive coverage for Decision-making Support Systems (DMSS) technology issues and on how DMSS technology and related methodologies can deliver value (Buede, 1986) to individual and group-based decision-making processes (Forgionne, 2000). DMSS can be defined considered as full technological systems per se. However, from a more systemic view (Ackoff 1967; Kljajic & 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; Forgionne et al. 2005) of individuals and groups in life, public, and private organizations. These systems 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). Other DMSS, such as Executive Support systems (ESS), Management Support Systems (MSS), Artificially 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 & Watson, 1994; Forgionne, 1991; Forgionne & Kohli, 2000; Nichols & Goul, 2005). Thus, since the technology’s purpose is to improve decision making (Mora et al., 2005), the articles are expected to link DMSS technology to improvements in the process and outcomes of the decision making process. This link can be established theoretically, mathematically, methodologically or empirically in a systematic and scientific manner. SUBMITTING TO IJDSST Prospective authors should note that only original and previously unpublished articles will be considered. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at www.igi-global.com/journals/guidelines.html. All article submissions will be forwarded to at least 3 members of the Editorial Review Board of the journal for double-blind, peer review. Final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers. All submissions must be forwarded electronically to [mmora@securenym.net with copy to zarate@irit.fr] by ****** NO LATER THAN [May 31, 2011]. ****** DEADLINES Full paper submission due is: May 31, 2011 First notification to authors due is: July 31, 2011 Submission due for conditioned papers is: September 30, 2011 Definitive paper acceptance due is: November 30, 2011 Camera-ready versions due is: December 9, 2011 Publishing date is: August 2012 REFERENCES Ackoff, R. (1967). Management Misinformation Systems. Management Science, 14(4), 147-156. Alavi, M., Henderson, J. (1981). An Evolutionary Strategy for Implementing a Decision Support Systems. Management Science, 27(11), 1309–1323. Alavi, M., Napier, H. (1984). An Experiment in Applying the Adaptative Design Approach to DSS Development. Information & Management, 7, 21–28. Alavi, M. (1984). An Assessment of the Prototyping Approach to Information Systems Development. Communications of the ACM, 27(6), 556–563. Buede, D. (1986). Structuring Value Attributes. Interfaces, 16(2), 52-62. Carlson, E. (1979). An Approach for Designing Decision Support Systems. Data Base, Winter, 3–15. Courbon, J.C., et al. (1980). Design and Implementation of Decision Support Systems by an Evolution Approach (1980) (unpublished paper). Eierman, M., Niederman, F., Adams, C. (1995). DSS theory: a model of constructs and relationships. Decision Support Systems 14, 1–26. Forgionne, G. (1991). Decision technology systems: a vehicle to consolidate decision making support. Information. Processing and Management. 27(6), 679-797. Forgionne, G. (2000). Decision-Making Support System Effectiveness: the Process to Outcome Link. Information, Knowledge, Systems Management, 2 (2000), 169-188. Forgionne, G. & Kohli, R. (2000). Management Support System Effectiveness: further Empirical Evidence. Journal of the Association for Information Systems, May issue, 1, article 3, 1-37. Forgionne, G., Mora, M., Gupta, J., Gelman, O. (2005). Decision-Making Support Systems. In: Encyclopedia of Information Science and Technology, pp. 759–765., Hersehy, PA: Idea Group. Gachet, A., Haettenschwiler, P. (2006). Development Processes of Intelligent Decision-making Support Systems. In: Gupta, J., Forgionne, G., Mora, M. (eds.) Review and Perspective. Intelligent Decision-making Support Systems (i-DMSS): Foundations, Applications and Challenges, pp. 97–121, London, UK: Springer. Holsapple, C.W., Whinston, A.B. (1996). Decision Support Systems. St Paul, UA: West Publishing Company. Jalote, P. (1997). An Integrated Approach to Software Engineering. New York, USA: Springer. Keen, P.W.G. (1980). Adaptive Design for Decision Support Systems. Data Base, Spring, 15–25. Kljajic, M. & Farr, J. (2008). The role of systems engineering in the development of information systems. International Journal of Information Technologies and Systems Approach, 1(1), 49-61. Manjarrez, A. & Pickin, S. (2002). Describing generic expertise models as object-oriented analysis patterns: the heuristic multiattribute decision pattern. Expert Systems, 19(3), 142-169. Mahmood, M., Medewitz, J. (1985). The Impact of Design Methods on Decision Support Systems Success: An Empirical Assessment. Information & Management 9(3), 137–151. Meador, L., Guyote, M., Keen, P.G.W. (1984). Setting Priorities for DSS Development. MIS Quarterly, June, 117–129. Mora, M., Forgionne, G., Cervantes, F., Gelman, O. (2010). IDSSE-M: Intelligent Decision Support Systems Engineering Methodology. In: C.P. Lim and L.C. Jain (Eds), Handbook on Decision Making, Vol 1: Techniques and Applications, Series: Intelligent Systems Reference Library, Vol. 4 , London, UK: Springer, 29-53. Nichols, J. & Goul, M. (2005). Synergizing the Artificial Intelligence and Decision Support Research Streams: Over a Decade of Progress with New Challenges on the Horizon. In: Gupta, J.N.D, Forgionne, G., and Mora, M. (Eds.), Intelligent Decision-making Support Systems: Foundations, Applications and Challenges, Series: Decision Engineering, London: Springer, 54-67. Sage, A.P. (1981). Behavioral and Organizational Considerations in the Design of Information Systems and Processes for Planning and Decision Support. IEEE TSMC 11(9), 640–678. Sage, A.P. (1991). Decision support systems engineering. New York, USA: Wiley. Saxena, K.B.C. (1991). Decision Support Engineering: A DSS Development Methodology. In: 24th Annual Hawaii International Conference on System Sciences (HICSS 1991), pp. 98–107. IEEE Computer Society Press, Los Alamitos, CA, USA. Simon, H. (1997). Administrative Behavior, 4th edn. (Original publication date 1945). New York, USA: The Free Press. Turban, E. (1992). Why expert systems succeed and why they fail. In: Turban, E., Liebowitz (eds.) Managing Expert Systems, pp. 2–13. Hershey, PA: Idea-Group. Turban, E., & Watson, H. (1994). Integrating expert systems, executive information systems and decision support systems. In: P. Gray (Ed), Decision support and executive information systems, Englewood Cliffs, Prentice-Hall, 399-407. Turban, E., Aronson, J. (1998). Decision Support Systems and Intelligent Systems. A. Saddle River, USA: Simon and Schuster Company. Watson, H.J., Rainer, K., Koh, K. (1991). Executive information systems: a framework for guiding EIS development and a survey of current practices. MIS Quarterly 15(1), 13–30. |