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HEURISTIC EVALUATION OF VISUALIZATION IN THE SEMANTIC SEARCHING FOR ECONOMIC INFORMATION. PRELIMINARY ANALYSIS OF THE RESEARCH RESULT

100%
Dudycz H.
Information Systems in Management
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2012
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vol. 1
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issue 2
100-111
EN
Economic indicators provide much information concerning the functioning of an enterprise. Their usefulness depends also on decision-makers' comprehension of structural and semantic connections existing between indicators. Visualization of a semantic network in the topic map allows users to more swiftly notice and understand various relations. The main goal of this paper is to discuss the research on heuristic evaluation of visualization in the semantic searching for economic information. This study consists of three experiments with the participants. We used the two author’s applications of the ontologies for return on investment indicator and for early warning system. In this paper we analyze and compare the results of these experiments.
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Evaluating a computer application that aids multi-criteria decision making

100%
Rajiansyah, Filcek G., Ramsey D. M.
Multiple Criteria Decision Making
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2023
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vol. 18
47-76
EN
In this article, we describe and assess the implementation of several methods of multi-criteria decision-making using a web-based computer application. Such an application makes it easier to determine the effectiveness of decisions. The methods adopted in this application are SMART (Simple Multi-Attribute Rating Technique), AHP (Analytic Hierarchy Process), and ANP (Analytic Network Process). Each of these methods has distinctive characteristics in determining the best alternative for the user. This study assesses the feasibility of each method in the application. The application is assessed based on functionality, reliability, efficiency, and usability. (1) Functionality is tested according to the appropriateness of the decisions made, (2) Reliability is assessed using stress testing, (3) Efficiency is assessed according to the computational effort, and (4) System usability is tested according to the user's answers to the Computer System Usability Questionnaire authored by J.R. Lewis. This research results in a decision support system based on SMART that has been appropriately tested and is ready for use.
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