2020
DOI: 10.1007/978-3-030-58811-3_19
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Towards Ontology Based Data Extraction for Organizational Goals Metrics Indicator

Abstract: In this paper, we proposed a measurement framework to evaluate the quality of results at organizational goals level. We proposed metrics indicators to guarantee and optimize the usage of data to extract useful information in organization. The framework is flexible to change without affecting things around because the framework is applicable in any domains. We discuss the review of the problems, proposed solution to the problems and draw a conclusion of this paper.

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Cited by 1 publication
(4 citation statements)
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“…The ontology proposed by Izhar & Apduhan (2020), which evaluates the quality of organizations goals results, demonstrates that organizations have organizational goals, which consists of subgoals assessed using metrics. Additionally, subgoals relies on resources which is organizational data.…”
Section: Approaches For Indicators Targets Definitionmentioning
confidence: 99%
See 3 more Smart Citations
“…The ontology proposed by Izhar & Apduhan (2020), which evaluates the quality of organizations goals results, demonstrates that organizations have organizational goals, which consists of subgoals assessed using metrics. Additionally, subgoals relies on resources which is organizational data.…”
Section: Approaches For Indicators Targets Definitionmentioning
confidence: 99%
“…The second method is to establish targets from operational (internal) or competitors (external) benchmarks. For Izhar & Apduhan (2020), the benchmarking can judge how well an operation is doing, by setting realistic performance standards. Moreover, the benchmarking can gather ideas and practices that might be able to be copied or adapted.…”
Section: Approaches For Indicators Targets Definitionmentioning
confidence: 99%
See 2 more Smart Citations