scholarly journals Strategic Decision Support Systems for Local Government: A Performance Management Issue? The Use of Information Systems on the Decision-making and Performance Management of Local Government

2012 ◽  
Vol 6 (2) ◽  
Author(s):  
Joris Peignot ◽  
Adrien Peneranda ◽  
Serge Amabile
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Local Government ◽  
Decision Support Systems ◽  
Performance Management ◽  
Strategic Decision ◽  
Management Issue ◽  
And Performance ◽  
Strategic Decision Support

scholarly journals Appropriate Information Technology In Emerging Economies: An Application For Strategic Decision-Making In Manufacturing Industries

2011 ◽  
Vol 3 (4) ◽  
Author(s):  
Mehdi Beheshtian Ardakani ◽  
Mohsen Modarres ◽  
Ahmad Ispahani
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Emerging Economies ◽  
Support Systems ◽  
Strategic Decision ◽  
Top Executives ◽  
The Impact

Competing in global marketplace has pressured managers respond to shifting market trends by increasing product quality, business process reengineering, and decreasing time to market for new products. Within emerging economies top executives have realized that adoption of appropriate information technologies such a decision support systems (DSS) and group decision support systems (GDSS) have led to changes in the existing organizational structure and communication mechanisms. This paper explores the advantages and constraints of DSS and GDSS in formulating manufacturing strategies in emergent economies. We argued that to fit appropriate information technology to organizational design top executive would benefit from strategic information systems planning process. This process enables top executives to invest in appropriate information system that fits their structural arrangements and organizational culture. Moreover, we explored the impact of DSS and GDSS on executive decision-making capabilities. We also explored the methodology for implementation of appropriate information systems in manufacturing firms in emergent economies.

Geospatial Decision Support Systems

2020 ◽  
pp. 163-177
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Support Systems ◽  
Development Planning ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Interactive Decision Support

The chapter is on the geospatial decision support systems. Challenges arise when simple GIS is used to support complex problems encountered at higher level, strategic decision-making, and long-term development planning. In this case, SDI can be more valuable. The chapter presents the perspective of information systems for decision support taking into account the following: the levels of decisions and the process of decision making. Trends on the tools and framework for interactive decision support systems are discussed focusing on geospatial decision support systems based on GIS and SDI.

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.

Closing the Gap between Data Mining and Business Users of Business Intelligence Systems

2012 ◽  
Vol 3 (4) ◽  
pp. 14-53 ◽  
Author(s):  
Ana Azevedo ◽  
Manuel Filipe Santos
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Business Intelligence ◽  
Easy Access ◽  
Complete Knowledge ◽  
Business Intelligence Systems ◽  
Closing The Gap

Since Lunh first used the term Business Intelligence (BI) in 1958, major transformations happened in the field of information systems and technologies, especially in the area of decision support systems. BI systems are widely used in organizations and their importance is recognized. These systems present themselves as essential parts of a complete knowledge of business and an irreplaceable tool in the support to decision making. The dissemination of data mining (DM) tools is increasing in the BI field, as well as the acknowledgment of the relevance of its usage in enterprise BI systems. BI tools are friendly, iterative, and interactive, allowing business users an easy access. The user can manipulate directly data, having the ability to extract all the value contained into that business data. Problems noted in the use of DM in the field of BI is related to the fact that DM models are complex in order to be directly manipulated by business users, not including BI tools. The nonexistence of BI tools allowing business users the direct manipulation of DM models was identified as the problem. More of these issues, possible solutions and conclusions are presented in this article.

Group Support Systems as Tools for HR Decision Making

2011 ◽  
pp. 1087-1095
Author(s):  
James Yao ◽  
John Wang
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Human Resource ◽  
Financial Management ◽  
Support Systems ◽  
Group Support Systems ◽  
Group Support ◽  
Soft Data

In the late 1960s, a new type of information system came about: model-oriented DSS or management decision systems. By the late 1970s, a number of researchers and companies had developed interactive information systems that used data and models to help managers analyze semistructured problems. These diverse systems were all called decision support systems (DSS). From those early days, it was recognized that DSS could be designed to support decision-makers at any level in an organization. DSS could support operations, financial management, and strategic decision making. Group decision support systems (GDSS) which aim at increasing some of the benefits of collaboration and reducing the inherent losses are interactive information technology-based environments that support concerted and coordinated group efforts toward completion of joint tasks (Dennis, George, Jessup, Nunamaker, & Vogel, 1998). The term group support systems (GSS) was coined at the start of the 1990s to replace the term GDSS. The reason for this is that the role of collaborative computing was expanded to more than just supporting decision making (Patrick & Garrick, 2006). For the avoidance of any ambiguities, the latter term shall be used in the discussion throughout this article. Human resources (HR) are rarely expected like other business functional areas to use synthesized data because HR groups have been primarily connected with transactional processing of getting data into the system and on record for reporting and historical purposes (Dudley, 2007). For them soft data do not win at the table; hard data do. Recently, many quantitative or qualitative techniques have been developed to support human resource management (HRM) activities, classified as management sciences/operations research, multiattribute utility theory, multicriteria decision making, ad hoc approaches, and human resource information systems (HRIS) (Byun, 2003). More importantly, HRIS can include the three systems of expert systems (ES), decision support systems (DSS), and executive information systems (EIS) in addition to transaction processing systems (TPS) and management information systems (MIS) which are conventionally accepted as an HRIS. As decision support systems, GSS are able to facilitate HR groups to gauge users’ opinions, readiness, satisfaction, and so forth, increase their HRM activity quality, and generate better group collaborations and decision makings with current or planned HRIS services. Consequently, GSS can help HR professionals exploit and make intelligent use of soft data and act tough in their decision-making process.

Electronic Commerce and Decision Support Systems

2021 ◽  
pp. 602-620
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Electronic Commerce ◽  
Decision Support Systems ◽  
Business Performance ◽  
Support Systems ◽  
Strategic Decision ◽  
Modern Business ◽  
Online Business ◽  
Strategic Goals

Electronic Commerce (e-commerce) is an advanced online business tool that allows many companies to launch their websites and helps customers search their specific products shown on the websites. Decision Support Systems (DSSs) are computerized tools designed to facilitate strategic decision making. With the support of data mining and business intelligence methods, DSSs can effectively increase the performance of decision making and can present a sophisticated method of managerial thinking in a timely and effective manner toward gaining competitive advantage. The chapter argues that utilizing e-commerce and DSSs has the potential to enhance business performance and reach strategic goals in modern business.

scholarly journals Agent based Decision Support System for Travelers

2020 ◽  
pp. 293-298
Author(s):  
Thi Thi Tun ◽  
Prof Thwe
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Intelligent Agents ◽  
Decision Making Process ◽  
Agent Based ◽  
Travel Planning

Nowadays, management of the travelers to support their recreation or holiday planning is increasingly becoming important and popular. Planning a trip needs to assemble a wide variety of information from a large number of sources, such as car schedule and prices, hotel locations, the map of traveled places, etc. Now, this information is available in this system and it can be used to decide a better plan traveler. Decision support systems are the type of information systems expressly developed to support the decision making process and to assist a decision maker. So, this system is implemented as the decision support system for travelling. Moreover, this system describes the use of intelligent agents for extracting and integrating data to improve the ability to plan a travel. These agents can extract data, integrate this data to support travel planning and monitor all aspects of a trip. Therefore, a traveler decision support system by using intelligent agents will develop to support travelers in making their decision on a suitable track when they are faced with a number of alternative track options.

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