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The International Journal of Management Science and Information Technology (IJMSIT)

The international journal of management Science and information technology (IJMSIT) is a refereed journal and publishes high-quality theoretical and empirical papers in the areas of management science and information technology. This journal reports the impact of information technologies on the managerial and organizational topics. IJMSIT develops a comprehensive and theoretical framework by using a multidisciplinary approach to management and information technology for researchers and practitioners.

 


Editor-in-chief: J. J. Ferreira, University of Beira Interior, Portugal, Email: jjmf@ubi.pt
Published: Quarterly
Copyright: 2012, North American Institute of Science and Information Technology (NAISIT)
ISSN: ISSN 1923-0265 (Print) - ISSN 1923-0273 (Online) - ISSN 1923-0281 (CD-ROM)

Probabilistic and deterministic data linkage for data goals model in relation to the organization goals
22 : Issue 22 - (Oct-Dec 2016) ( 2016-12 )

Abstract:

Data is an important asset to assist organization in decision making in order to achieve the organization goals. However, the trustworthiness of organization data in achieving the organization goals is questioned because of the vast amount of organization data. Therefore, it is important to develop a model that links organization data and organization goals. Structuring organization goals for small organization is less complicated compare to the large organization. This is because large organization have large structure, thus it is difficult to identify relevance data in relation to the organization goals. This paper propose data goals model in the context of the organization goals ontology. Ontology is important to improve a common understanding for the organization goals. We suggest data goals model is important to identify the relationship between organization data and organization goals. After that, we generalize organization goals ontology and data goals model to set a standard model so it can be applied in different domains. In this paper, we apply probabilistic analysis and deterministic analysis to analyze organization data in relation to the organization goals. The contribution of this paper may serve as a first step in understanding the evaluation of organization data for the achievement of the organization goals.

Author(s): Tengku Adil Tengku Izhar - Malaysia - Universiti Teknologi MARA
Torab Torabi - Australia - La Trobe University
M. Ishaq Bhatti - Australia - La Trobe University
Keywords: Data goals model, Data linkage, Organization goals, Ontology
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