To build a decision support system on a micro-computer : an application for industrial investment decision

1984 ◽  
Author(s):  
Chi Leung, Kenneth Lun
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Investment Decision ◽  
Industrial Investment

Decision Support System for Project Selection

2011 ◽  
pp. 209-226
Author(s):  
Prasanta Kumar Dey
Keyword(s):  
Decision Support ◽  
Environmental Impact ◽  
Decision Support System ◽  
Impact Assessment ◽  
Support System ◽  
Social Impact ◽  
Financial Analysis ◽  
Investment Decision ◽  
Multiple Attribute Decision Making ◽  
Analytic Hierarchy

The evaluation and selection of industrial projects before investment decision is customarily done using marketing, technical, and financial information. Subsequently, environmental impact assessment and social impact assessment are carried out mainly to satisfy the statutory agencies. Because of stricter environment regulations in developed and developing countries, quite often impact assessment suggests alternate sites, technologies, designs, and implementation methods as mitigating measures. This causes considerable delay to complete project feasibility analysis and selection as complete analysis requires to be taken up again and again until the statutory regulatory authority approves the project. Moreover, project analysis through the above process often results in suboptimal projects as financial analysis may eliminate better options as more environment friendly alternative will always be cost intensive. In this circumstance, this study proposes a decision support system which analyses projects with respect to market, technicalities, and social and environmental impact in an integrated framework using analytic hierarchy process, a multiple attribute decision-making technique. This not only reduces duration of project evaluation and selection, but also helps select an optimal project for the organization for sustainable development. The entire methodology has been applied to a cross-country oil pipeline project in India and its effectiveness has been demonstrated.

scholarly journals Membangun Decision Support System Berbasis Financial Technology Dalam Berinvestasi Saham

2020 ◽  
Vol 11 (02) ◽  
Author(s):  
Lucky Kartanto
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Financial Institutions ◽  
Support System ◽  
Stock Exchange ◽  
Investment Decision ◽  
Minimal Risk ◽  
Stock Selection ◽  
Index Model ◽  
Financial Technology

At present, investment is well known in Indonesian society, investment awareness by the public has begun to increase along with the existence of several investment instruments that are widely offered by bank financial institutions, non-bank financial institutions, as well as various types of investment options on the Indonesia Stock Exchange. According to Sophar Lumbantoruan (1996), the notion of investment is equity participation in other companies. One form of investment known to the general public is shares traded on the Indonesia Stock Exchange. Investing always considers the results and risks that will be faced by Investors. Not all investors understand the theory of investing in stocks, especially in selecting shares in a portfolio in order to produce a certain rate of return with minimal risk. This study aims to find a decision support system (DSS) based on Financial Technology that will provide information related to stock recommendations that should be bought by investors. Stock Selection in this study are shares of listed companies listed on the Kompas 100 Index, the Analysis Technique used in this study is the Single Index Model. This research can produce recommendations for investors to buy shares in a portfolio that will provide certain benefits with minimal risk. Keyword- Investment, Decision Support System, Financial Technology, Single Index Model, Porfolio

Opti-Money at Bank Hapoalim: A Model-Based Investment Decision-Support System for Individual Customers

2004 ◽  
Vol 34 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Mordecai Avriel ◽  
Hanna Pri-Zan ◽  
Ronit Meiri ◽  
Avi Peretz
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Investment Decision ◽  
Model Based

A decision support system to evaluate the business impacts of machine-to-machine system

2015 ◽  
Vol 22 (2) ◽  
pp. 201-221 ◽  
Author(s):  
Tuomo Heikkilä
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cost Benefit Analysis ◽  
Investment Decision ◽  
Cost Benefit ◽  
Significant Finding ◽  
Machine To Machine ◽  
Content Type ◽  
Financial Metrics

Purpose – The tightening competition and performance pressure in companies often leave no time or space for the assessment of business impacts of different investments and projects. In addition, in many cases the assessment may be challenging and there is no experience available to undertake it. Despite that companies often commit to different projects and investments without careful planning and vision of the costs it may cause. The purpose of this paper is to create a decision support system in order to facilitate and increase the assessment of business impacts of different investments concerning to machine-to-machine (M2M) systems. Design/methodology/approach – The created decision support system is composed of cost-benefit analysis including several investment decision methods. In order to deepen the understanding on it, the system was applied to two cases from the M2M business. Findings – During the study it was found that different financial metrics might give contradictory results when deciding whether to undertake an investment. In addition, a significant finding was how much some variables may have significance to the eligibility of an investment than others. The study also gave understanding how long payback time can be and how risky the investments might be in different M2M applications. Originality/value – The study describes the created decision support system and it is applied to two different M2M applications. The system provides a comprehensive combination of different financial metrics, which will help any manager make decisions whether an investment is eligible or not.

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