Decision-Making Support Systems

Forgionne, Guisseppi A.; Mora, Manuel; Gupta, Jatinder N. D.; Gelman, Ovsei

doi:10.4018/978-1-59140-553-5.ch133

Cited by 16 publications

(4 citation statements)

References 19 publications

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“…Individual EIS, DSS, and ES/KBS, or pair-integrated combinations of these systems, have yielded substantial benefits in practice. More recently, new DMSS types have been posited such as integrated DMSS, data warehouse (DW)-based and data mining (DM)-based DMSS (DW&DM-DMSS), intelligent DMSS (i-DMSS), Web-based DMSS, and Knowledge Management DMSS (Forgionne et al, 2005).…”

Section: Decision-making Support Systems Foundationsmentioning

confidence: 99%

“…Furthermore, it has been identified the need of making informed-based decisions in HEIs for improving overall HEI performance (Atman et al, 2011Smith et al, 2014Anis & Islam, 2015). Decision-making activity can be defined as the managerial process of framing a decision-making situation, designing a decision model with a set of courses of action and evaluation criteria, evaluating such a set against the evaluation criteria for selecting the most adequate course of action, implementing it, and learning from its outcomes and its decisional process (Forgionne et al, 2005). Given the inherent difficulty of carrying out a decision-making process manually, this process has been vastly supported by special computer-based applications called Decision-Making Support Systems (DMSS) (Mora et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

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Decision-Making Support Systems in Quality Management of Higher Education Institutions

Mora

Wang

Gómez

et al. 2017

International Journal of Decision Support System Technology

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The provision of high-quality educational services is a mandatory objective for Higher Education Institutions (HEIs) nowadays. Consequently, HEIs implement Quality Management System (QMS) process frameworks. A core managerial activity conducted in these QMS is decision making, which impacts the overall quality of the provided HEI's educational services. This managerial context found in HEIs demands an adequate and reliable managerial decision-making support. In this article, we elaborate a new Process-Task-Decision scheme for HEIs based on a relevant international QMS process framework (ISO 9001 IWA 2:2007), and we survey selectively DMSS and HEI literature in the 1996-2016 period. We found that DMSS have been used in a variety of Process-Task-Decision situations in HEIs from early periods to the present, but their utilization is still scarce and partially deployed. Thus, open opportunities to apply them in HEIs and relevant knowledge gaps still exist to be further researched.

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Section: Decision-making Support Systems Foundationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Decision-Making Support Systems in Quality Management of Higher Education Institutions

Mora

Wang

Gómez

et al. 2017

International Journal of Decision Support System Technology

Self Cite

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“…Decision-making Support Systems (DMSS) are computer-based information systems that support individual, group, or organizational decision-making processes in an interactive manner. Depending on the supported decision making phases or steps supported, a DMSS may take the form of a Decision Support System (DSS), Executive Information System (EIS), Expert System (ES), or some integrated combination of the functions delivered by a DSS, EIS, and/or ES (G Forgionne et al, 2005) For example, recent advances in information technology and artificial intelligence could be used to enhance DSS or EIS processing, giving rise to Intelligent-DMSS (IDMSS) (Jatinder Gupta et al, 2006). The support rendered in an IDMSS can occur at four levels (B Roy, 1996):…”

Section: Financial Decision Making Supportmentioning

confidence: 99%

Effective DMSS Guidance for Financial Investing

Forgionne

Rada

2009

International Journal of Decision Support System Technology

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Investment decisions have a significant impact on individuals, groups, organizations, the economy, and society. As a result, many formal methodologies and information systems have been designed, developed, and implemented to assist with financial investing. While these tools can improve decision making, none offer complete and integrated support for financial investing. This article seeks to close the support gap by offering a theoretical decision making support system for financial investing and illustrating the system's use in practice. The demonstration indicates that the theoretical system can improve the process of, and outcome from, investing.

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“…

Decision Support Systems (DSS) (Keen & Scott-Morton, 1978) or their current and integrated versions referred to as Decision-making Support Systems (DMSS) (Forgionne, Mora, Gupta, & Gelman, 2005), are Information Systems (IS) designed specially to support some, several or all phases of an individual, team, organizational or intra-organizational decision-making process. Ever since its origin in the early 1970s (Scott-Morton, 1971), organizations, mainly large-scale ones with available

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mentioning

confidence: 99%

Idsse-M

Mora

Kljajić

Gelman

et al. 2011

International Journal of Decision Support System Technology

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Decision-making Support Systems (DMSSs) have been traditionally designed and built by using mainly the Waterfall method, Prototyping-Evolutive, or Adaptive approach in the last three decades. In this paper, the authors argue that while such approaches have guided to DMSS developers, they have been also demanded for adding ad-hoc, non-standardized activities and extra techniques based on their own expertise due to the scarcity of open-access available information of them. Additionally, from a Software Systems Engineering (SSE) viewpoint, such approaches cannot be considered as well-defined methodologies. This article contributes to the research stream of SSE-based DMSS development methodologies by reporting an initial empirical evaluation of IDSSE-M, a free-access methodology for designing and building Intelligent Decision Support Systems. IDSSE-M extends and adapts Turban and Aronson’s DSS Building Paradigm (open access), and Saxena’s Decision Support Engineering Methodology (proprietary). IDSSE-M offers DMSS developers at least a moderate level of usefulness, compatibility, and results demonstrability, which leads to a positive, good and beneficial attitude of using the methodology.

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Decision-Making Support Systems

Cited by 16 publications

References 19 publications

Decision-Making Support Systems in Quality Management of Higher Education Institutions

Decision-Making Support Systems in Quality Management of Higher Education Institutions

Effective DMSS Guidance for Financial Investing

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