Decision Support Systems and Decision-Making Processes

Support Systems ◽

Management Problem ◽

Upper Management ◽

Structured Problems ◽

Complex Decision Making ◽

Decision support systems (DSS) deal with semi-structured problems. Such problems arise when managers in organisations are faced with decisions where some but not all aspects of a task or procedure are known. To solve these problems and use the results for decision-making requires judgement of the manager using the system. Typically such systems include models, data manipulation tools, and the ability to handle uncertainty and risk. These systems involve information and decision technology (Forgionne, 2003). Many organisations are turning to DSS to improve decision-making (Turban, McLean, & Wetherbe, 2004). This is a result of the conventional information systems (IS) not being sufficient to support an organisation’s critical response activities—especially those requiring fast and/or complex decision-making. In general, DSS are a broad category of IS (Power, 2003). A DSS is defined as “an interactive, flexible, and adaptable computer-based information system, specially developed for supporting the solution of a non-structured management problem for improved decision-making. It utilises data, it provides easy user interface, and it allows for the decision maker’s own insights” (Turban, 1995). There is a growing trend to provide managers with IS that can assist them in their most important task—making decisions. All levels of management can benefit from the use of DSS capabilities. The highest level of support is usually for middle and upper management (Sprague & Watson, 1996). The question of how a DSS supports decision-making processes will be described in this article. This article is organised as follows: The background to decisionmaking is introduced. The main focus (of this article) describes the development of the DSS field. Some future trends for the DSS field are then suggested. Thereafter a conclusion is given.

Decision Support Systems and Decision-Making Processes

Strategic Information Systems ◽

10.4018/978-1-60566-677-8.ch010 ◽

2011 ◽

pp. 122-130 ◽

Cited By ~ 1

Author(s):

Udo Richard Averweg

Keyword(s):

Decision Making ◽

Decision Support ◽

Support Systems ◽

Management Problem ◽

Upper Management ◽

Structured Problems ◽

Complex Decision Making ◽

Decision support systems (DSS) deal with semi-structured problems. Such problems arise when managers in organisations are faced with decisions where some but not all aspects of a task or procedure are known. To solve these problems and use the results for decision-making requires judgement of the manager using the system. Typically such systems include models, data manipulation tools, and the ability to handle uncertainty and risk. These systems involve information and decision technology (Forgionne, 2003). Many organisations are turning to DSS to improve decision-making (Turban, McLean, & Wetherbe, 2004). This is a result of the conventional information systems (IS) not being sufficient to support an organisation’s critical response activities—especially those requiring fast and/or complex decision-making. In general, DSS are a broad category of IS (Power, 2003). A DSS is defined as “an interactive, flexible, and adaptable computer-based information system, specially developed for supporting the solution of a non-structured management problem for improved decision-making. It utilises data, it provides easy user interface, and it allows for the decision maker’s own insights” (Turban, 1995). There is a growing trend to provide managers with IS that can assist them in their most important task—making decisions. All levels of management can benefit from the use of DSS capabilities. The highest level of support is usually for middle and upper management (Sprague & Watson, 1996). The question of how a DSS supports decision-making processes will be described in this article. This article is organised as follows: The background to decisionmaking is introduced. The main focus (of this article) describes the development of the DSS field. Some future trends for the DSS field are then suggested. Thereafter a conclusion is given.

IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v2i1.905 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Soraya Rahma Hayati ◽

Mesran Mesran ◽

Taronisokhi Zebua ◽

Heri Nurdiyanto ◽

Khasanah Khasanah

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Support Systems ◽

Knowledge Based ◽

Computer Based ◽

Support Decision Making ◽

Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

Handbook of Research on Entrepreneurship, Innovation, Sustainability, and ICTs in the Post-COVID-19 Era - Advances in Business Strategy and Competitive Advantage ◽

Managerial Decision Support in the Post-COVID-19 Era

10.4018/978-1-7998-6776-0.ch011 ◽

2021 ◽

pp. 225-241

Author(s):

Jan Kalina

Keyword(s):

Decision Making ◽

Decision Support ◽

Management Practices ◽

Support Systems ◽

Management Decision ◽

Managerial Decision ◽

Massive Datasets ◽

New Development ◽

Decision Making Processes

The COVID-19 pandemic accelerated trends to digitalization and automation, which allow us to acquire massive datasets useful for managerial decision making. The expected increase of available data (including big data) will represent a potential for an increasing deployment of management decision support systems for more general and more complex tasks. Sophisticated decision support systems have been proposed already in the pre-pandemic times either to assist managers in specific decision-making processes or to perform the decision making fully automatically. Decision support systems are presented in this chapter as perspective artificial intelligence tools contributing to a deep transform of everyday management practices. Attention is paid here to their new development in the quickly transforming post-COVID-19 era and to their role under the post-pandemic conditions. As an original contribution, this chapter presents a vision of information-based management, which far exceed the rather limited pre-pandemic visions of evidence-based management focused primarily on critical thinking.

How Groupware Systems Can Change How an Organisation Makes Decisions

Encyclopedia of Decision Making and Decision Support Technologies ◽

10.4018/978-1-59904-843-7.ch049 ◽

2011 ◽

pp. 426-433

Author(s):

Frédéric Adam ◽

Jean-Charles Pomerol ◽

Patrick Brézillon

Keyword(s):

Decision Making ◽

Decision Support ◽

Study Protocol ◽

Support Systems ◽

The Impact

In this article, a newspaper company which has implemented a computerised editorial system is studied in an attempt to understand the impact that groupware systems can have on the decision making processes of an organisation. First, the case study protocol is presented, and the findings of the case are described in detail. Conclusions are then presented which pertain both to this case and to the implementation of decision support systems that have a groupware dimension.

Decision Support Systems in Agriculture, Food and the Environment - Advances in Environmental Engineering and Green Technologies ◽

The Role of Decision Support Systems (DSS) in Planning For Improved Water Quality in Coastal Lakes

10.4018/978-1-61520-881-4.ch003 ◽

2011 ◽

pp. 47-73 ◽

Cited By ~ 1

Author(s):

R. A. Kelly ◽

W. S. Merritt

Keyword(s):

Decision Making ◽

Decision Support ◽

Support Systems ◽

Juvenile Fish ◽

Ease Of Use ◽

Coastal Lakes ◽

Management Actions ◽

Trade Offs ◽

Decision Making Processes

Coastal lakes are ecosystems which provide significant environmental, social and economic values. They are a key habitat for many aquatic species, particularly for juvenile fish and aquatic invertebrates. They are a focus for human activity, including recreation, tourism, and many forms of industry and production such as oyster and commercial fisheries. More and more the foreshore areas of lakes are seen as a desirable place to live, with urban development a key pressure on lake systems. However current development, use and management of these systems mean that these values are already under threat. Environmental managers, urban planners and other decision makers need to make complex decisions about patterns of current and future use of these systems which allow for the trade-offs associated with various activities to be effectively taken into account. Decision support systems (DSS) are seen to have a role to play in supporting these activities.When developed properly, DSS can support decision making processes by providing users with a tool that shows the relationships between drivers of a system and outcomes. Environmental outcomes (e.g. estuary health) are controlled by often complex biophysical, ecological, economic and/or social drivers and processes. In this context a DSS should address uncertainty in data, knowledge and predictions, and allow users to explore the sensitivity of outcomes to controllable drivers (e.g. management actions), uncontrollable drivers (e.g. climate variability) and uncertainty. The DSS development and adoption process also needs to be flexible to a changing decision making environment. Ultimately the success of any DSS will depend not only on its technical capacity, including the robustness of any science underlying it, or the ease of use of any interface but also on the circumstances into which it arrives: the time and money allowed for training, capacity building, incorporation of stakeholder comments and development of trust between DSS developers, scientists and the community; the way in which the DSS is embedded in the decision making process; and the ‘politics’ and constantly changing face of the decision making environment.This chapter will discuss issues regarding the development of a DSS under typical planning timeframes where there are limited resources (time and budgetary) and where current and future management issues may not be certain and/or may change over the planning timeframe. The chapter largely draws on experiences gained during the development and application of the CAPER DSS in the Great Lakes, NSW Australia.

RELATIONSHIP BETWEEN BIG DATA AND DECISION SUPPORT SYSTEMS

Journal on Innovation and Sustainability RISUS ISSN 2179-3565 ◽

10.23925/2179-3565.2020v11i1p82-93 ◽

2020 ◽

Vol 11 (1) ◽

pp. 82-93

Author(s):

Gustavo Grander ◽

Luciano Ferreira da Silva ◽

Alan Tadeu Moraes Moraes ◽

Paulo Sergio Gonçalves de Oliveira

Keyword(s):

Artificial Intelligence ◽

Decision Making ◽

Big Data ◽

Decision Support ◽

Support Systems ◽

Analytical Techniques ◽

Strong Relationship ◽

Scopus Database

This article aimed to identify relationships between Big Data and Decision Support Systems. For this, we conducted a search in the Scopus database and as a result, we identified a report according to the increased frequency of publications, frequency of publications in journals and, using the VOSviewer software, we performed an analysis of words co-citation. We identified 5 groups of keywords that suggest different areas of study (e.g., logistics, health and social media), as well as a more recent focus on studies aimed at sustainable development, machine learning, analytical techniques and decision-making processes decision. An important contribution that should also be highlighted was the strong relationship between the keywords Big Data, artificial intelligence and decision making, suggesting studies involving the three terms in a large number of works.

Experience from Computer-Based Patient Records for Computer-Assisted Decision Making

Methods of Information in Medicine ◽

10.1055/s-0038-1634900 ◽

1993 ◽

Vol 32 (01) ◽

pp. 14-15 ◽

Cited By ~ 2

Author(s):

J. van der Lei

Keyword(s):

Decision Making ◽

Decision Support ◽

Clinical Decision Support ◽

Support Systems ◽

Clinical Decision Support Systems ◽

Clinical Decision ◽

Computer Assisted ◽

Patient Records ◽

Abstract:Response to Heathfield HA, Wyatt J. Philosophies for the design and development of clinical decision-support systems. Meth Inform Med 1993; 32: 1-8.

How Groupware Systems Can Change How an Organisation Makes Decisions

E-Collaboration ◽

10.4018/978-1-60566-652-5.ch069 ◽

2009 ◽

pp. 887-896

Author(s):

Frédéric Adam ◽

Jean-Charles Pomerol ◽

Patrick Brézillon

Keyword(s):

Decision Making ◽

Decision Support ◽

Study Protocol ◽

Support Systems ◽

The Impact

In this article, a newspaper company which has implemented a computerised editorial system is studied in an attempt to understand the impact that groupware systems can have on the decision making processes of an organisation. First, the case study protocol is presented, and the findings of the case are described in detail. Conclusions are then presented which pertain both to this case and to the implementation of decision support systems that have a groupware dimension.

Decision Support Systems (DSS): A survey

South African Journal of Business Management ◽

10.4102/sajbm.v15i4.1127 ◽

1984 ◽

Vol 15 (4) ◽

pp. 189-196 ◽

Cited By ~ 1

Author(s):

H. W. Ittmann

Keyword(s):

Decision Making ◽

Decision Support ◽

Support Systems ◽

Large Data ◽

Data Bases ◽

Practical Applications ◽

The Past ◽

Technological Developments ◽

Interest in aiding and supporting decision-making through the use of computers has been stimulated by technological developments in areas such as personal computers, computer networks, large data bases, colour graphics and computer-based models. These uses are known as Decision Support Systems (DSS) and imply computer systems designed to extend managers' capabilities, and at the same time to integrate these uses into existing managerial activities and needs. During the past few years there have been rapid international developments in the DSS field. In South Africa this trend is also noticeable, although on a smaller scale. The object of this article is to give a survey of Decision Support Systems by defining the concept and by showing how it relates to other fields, and to present a framework of the typical functions and components of such a system. Some practical applications are discussed for illustrative purposes.