DECISION SUPPORT SYSTEMS FOR ILL-STRUCTURED PROBLEMS: AN EMPIRICAL STUDY

1987 ◽  
Vol 18 (3) ◽  
pp. 350-372 ◽  
Author(s):  
William L. Cats-Baril ◽  
George P. Huber
2010 ◽  
pp. 135-143 ◽  
Author(s):  
Udo Richard Averweg

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.


Author(s):  
Yanqing Duan ◽  
Mark Xu

Decision support systems (DSSs) are widely used in many organisations (Arslan et al., 2004; Belecheanu et al., 2003; Dey, 2001; Gopalakrishnan et al., 2004; Lau et al., 2001; Puente et al., 2002). However, there is a common tendency to apply experience and techniques gained from large organisations directly to small businesses, without recognising the different decision support needs of the small business. This article aims to address the issues related to the development and the implementation of DSSs in small business firms. Our arguments are based on evidence drawn from a large body of DSS literature and an empirical study conducted by the authors in the UK manufacturing sector.


Author(s):  
Udo Richard Averweg

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.


2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Ni Putu Dwi Sucita Dartini ◽  
Agus Aan Jiwa Permana ◽  
Kadek Wirahyuni

ABSTRACT<br />Based on the experience of the writers who participated in the Porprov Bali committee,<br />observations in the Futsal athlete's assessment involved more subjectivity. Subjective decisions<br />can be detrimental to many parties, especially among Futsal athletes themselves. The sports<br />branch is highly emphasized on the value of sportsmanship, so it is necessary to involve a tool to<br />help solve the problem. Decision support systems (SPK) can be used as tools that aim to reduce<br />the level of subjectivity in the assessment process for semi-structured problems. SPK is used as a<br />simulation that will be used for students majoring in physical education at the Sports and Health<br />Faculty, Undiksha to find out whether they are eligible to pass the Porprov selection. With SPK it<br />will produce more objective decisions in semi-structured situations such as determining futsal<br />athletes that can be passed to Porprov because the results of decisions issued minimize the use of<br />intuition.<br />Keywords: Selection of Futsal, Porprov Bali athletes, SPK, Semiterstructure Decisions<br />ABSTRAK<br />Berdasarkan pengalaman penulis yang ikut dalam kepanitiaan Porprov Bali secara observasi dalam<br />penilaian atlet Futsal lebih banyak melibatkan faktor subyektifitas. Keputusan yang bersifat<br />subyektif dapat merugikan banyak pihak, khususnya di kalangan atlet Futsal itu sendiri. Cabang<br />olahraga sangat ditekankan nilai sportifitas sehingga perlu dilibatkan sebuah tools (alat bantu)<br />untuk membantu memecahkan masalah tersebut. Sistem pendukung keputusan (SPK) dapat<br />digunakan sebagai tools yang vertujuan untuk menurunkan tingkat subyektifitas dalam proses<br />penilaian untuk permasalahan semiterstruktur. SPK digunakan sebagai simulasi yang akan<br />digunakan untuk mahasiswa jurusan pendidikan jasmani pada Fakultas Olahraga dan Kesehatan,<br />Undiksha untuk mengetahui apakah mereka layak untuk lolos dalam seleksi Porprov. Dengan SPK<br />akan menghasilkan keputusan yang lebih obyektif dalam situasi semiterstuktur seperti dalam<br />menentukan atlet futsal yang dapat diloloskan ke Porprov karena hasil keputusan yang dikeluarkan<br />memperkecil penggunaan intuisi..<br />Kata Kunci : Seleksi atlet Futsal, Porprov Bali, SPK, Keputusan Semiterstruktur


1984 ◽  
Vol 22 (1) ◽  
pp. 21-39
Author(s):  
S.L. Huff ◽  
S. Rivard ◽  
A. Grindlay ◽  
I.P. Suttie

2011 ◽  
pp. 122-130 ◽  
Author(s):  
Udo Richard Averweg

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.


Author(s):  
Yanqing Duan ◽  
Mark Xu

Decision support systems (DSSs) are widely used in many organisations (Arslan et al., 2004; Belecheanu et al., 2003; Dey, 2001; Gopalakrishnan et al., 2004; Lau et al., 2001; Puente et al., 2002). However, there is a common tendency to apply experience and techniques gained from large organisations directly to small businesses, without recognising the different decision support needs of the small business. This article aims to address the issues related to the development and the implementation of DSSs in small business firms. Our arguments are based on evidence drawn from a large body of DSS literature and an empirical study conducted by the authors in the UK manufacturing sector.


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