Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/3377
Title: Object oriented modelling of corporate complexity performance balance card: CBBC
Authors: Çınar F.
Küçüközmen, C Coşkun
Keywords: Complexity business balance card (CBBC)
Complexity management
Corporate finance
Multi-dimensional performance evaluation model
Publisher: Springer
Abstract: Recent advances in computing and communications technology indicate that this progress and use of state of the art techniques will continue at a very rapid pace. This situation will inevitably increase companies’ informational data input and output as a consequence. It is also obvious that companies need to process and convert both input and output in such a manner that valuable entities are created in return. We value data as a company asset to be visualised in the form of new generation graphics providing decision-makers with significant corporate information. By these ways executives who can realize and evaluate the overall picture more effectively will be able to take new steps forward in improving business efficiency. We hereby suggest an alternative object-oriented business modelling approach which is able to more comprehensively analyse problems with respect to relations and correlations in current company structure. Through our model we propose a new reporting system by restructuring available data to enable decision makers to have reports via a user friendly reporting system. We combine the data available in the system with data source Objects via the Java SQL-based database, then the Cortex is formed and an infrastructure is developed for making statistical inquiries. Thus, all data in a single pool of resources can be managed and integrated with the reports consolidated while summary reports which provide spontaneous pictures and graphics are provided to be displayed instantly. © Springer International Publishing Switzerland 2015.
URI: https://doi.org/10.1007/978-3-319-09710-7_14
https://hdl.handle.net/20.500.14365/3377
ISSN: 2213-8684
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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