Ontology Data Dependency Analysis for Organizational Goals Achievement

Tengku Adil Tengku Izhar, Torab Torabi

Abstract


Organizational data is important to assist domain experts and entrepreneurs for decision-making process in relation to the organizational goals. However, the trustworthiness of organizational data in achieving the organizational goals is questioned because of the vast amount of organizational data created in the organization. In this paper, we develop a methodology associated with the organizational goals ontology to identify the dependency relationship between organizational data and organizational goals. This would allow domain experts and entrepreneurs to evaluate relevant organizational data to assist decision-making process in respect to the organizational goals. Therefore, they can identify to what extent certain organizational goals are achieved. The results show how the methodology develops this relationship to identify the relevance of organizational data for the achievement of the organizational goals.


Full Text:

PDF


DOI: https://doi.org/10.5296/bms.v12i1.18469

Copyright (c) 2021 Tengku Adil Tengku Izhar, Torab Torabi

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Business Management and Strategy  ISSN 2157-6068

Email: bms@macrothink.org

Copyright © Macrothink Institute 

To make sure that you can receive messages from us, please add the 'macrothink.org' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.