E-Planning

2012 ◽  
Vol 1 (1) ◽  
pp. 1-4 ◽  
Author(s):  
Richard E. Klosterman
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Decision Support Systems ◽  
Information And Communication Technologies ◽  
Support Systems ◽  
Communication Technologies ◽  
Geographic Information ◽  
Research And Practice ◽  
Information And Communication

This paper reflects on where e-planning has been and speculates on its future. It begins by briefly reviewing forty years of efforts to use advanced information and communication technologies in planning research and practice. It then considers current efforts to develop planning and decision support systems (PSS/DSS) that adopt current geographic information systems technology to meet the unique needs of planning. It concludes with the hope that the journal will take the first word of its title seriously and share the wealth of exciting e-planning research that is being conducted in all corners of the increasingly interconnected world.

scholarly journals Penentuan Lokasi Tempat Pembuangan Sementara Sampah Menggunakan Metode Brown Gibson Berbasis Sistem Informasi Geografis

2019 ◽  
Vol 9 (2) ◽  
pp. 177
Author(s):  
Dony Martinus Sihotang ◽  
Karen N.V Tarus ◽  
Tiwuk Widiastuti
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Decision Support Systems ◽  
Support Systems ◽  
Average Accuracy ◽  
The Right ◽  
Two Stages ◽  
The City ◽  
New Location

The problem of waste has not been handled well, especially in cities, including the city of Kupang. Placing the right location of the trash can be one of solutions to the waste problem. The purpose of this study is to combine decision support systems and geographic information systems to determine the location of TPS locations. There are two stages of analysis, the Brown Gibson method to determine which alternative is best for construction temporary landfill and the second analysis using the GIS approach to determine suitable point. The alternative is Neigborhoods (RT) in the Nefonaek, Kupang. The results showed that in the RT22, RT17, and RT18 which is outside the buffer area were selected as the best candidates for the new location of TPS. The system is tested in two ways, testing the blackbox using questionnaire on two respondents, and the accuracy that compares the results of the system and the results of expert. From the results of the blackbox testing, the percentage values for each GUI, Function, and information obtained were 94%, 92.5%, and 97.5%. And from Accuracy testing, obtained the value of accuracy on the first staff is 86.67% and for the second staff the accuracy value is 80%. From the two staffs obtained an average accuracy of 83.34%.

scholarly journals The Effect of Perceived Factors of Decision Support Systems on Actual Usage: Behavioral Intention of Using Decision Support Systems as a Mediating Variable: “An Empirical Study of Jordanian Higher Education Institutions”

2016 ◽  
Vol 12 (1) ◽  
pp. 201
Author(s):  
Bilal Mohammed Salem Al-Momani
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Behavioral Intention ◽  
Support Systems ◽  
Higher Education Institutions ◽  
Quality Of Information

Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality  of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989); and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions- in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.

DSS and Multiple Perspectives of Complex Problems

2011 ◽  
pp. 286-295 ◽  
Author(s):  
David Paradice ◽  
Robert A. Davis
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Support Systems ◽  
Collaborative Work ◽  
Vantage Point ◽  
Decision Makers ◽  
Complex Problems ◽  
Knowledge Based ◽  
Spreadsheet Models

Decision support systems have always had a goal of supporting decision-makers. Over time, DSS have taken many forms, or many forms of computer-based support have been considered in the context of DSS, depending on one’s particular perspective. Regardless, there have been decision support systems (DSS), expert systems, executive information systems, group DSS (GDSS), group support systems (GSS), collaborative systems (or computer-supported collaborative work (CSCW) environments), knowledge-based systems, and inquiring systems, all of which are described elsewhere in this encyclopedia. The progression of decision support system types that have emerged follows to some degree the increasing complexity of the problems being addressed. Some of the early DSS involved single decision-makers utilizing spreadsheet models to solve problems. Such an approach would be inadequate in addressing complex problems because one aspect of problem complexity is that multiple stakeholders typically exist. Baldwin (1993) examined the need for supporting multiple views and provides the only attempt found in the information systems literature to operationalize the concept of a perspective. In his work, a view is defined as a set of beliefs that partially describe a general subject of discourse. He identified three major components of a view: the belief or notion to convey, a language to represent the notion, and a subject of discourse. He further described notions as comprising aspects and a vantage point. Aspects are the characteristics or attributes of a subject or situation that a particular notion emphasizes. A vantage point is described by the level of detail (i.e., overview or detailed analysis). Assuming the subject of discourse can be identified with the notion, Baldwin described how differences in views may occur via differences in the notion, the language, or both.

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