Midovska, Marija and Odzaklieska, Dragica and Lazaroski, Spiro (2019) DESIGNING AN INTEGRATED FRAMEWORK FOR MEASURING ORGANIZATIONAL PERFORMANCE IN THE COMPANIES OF THE FOOD INDUSTRY IN THE REPUBLIC OF NORTH MACEDONIA. Proceedings 24th International Scientific Symposium Strategic Management and Decision Support Systems in Strategic Management.
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Abstract
Researchers have offered a number of different systems / methodologies / frameworks for measuring
organizational performance. They all have specific characteristics and differ from each other. Designing a framework for measuring organizational performance is a complex process. The main problem in designing is the inability to create a general model that would be applicable to any company. The specificity is that each company has its own characteristics by which it differs from one another, even companies in the same industry. Therefore, when creating a framework for measuring organizational performance it is necessary to ensure that it is adaptable and that can be adjusted to the most of companies. The goal of the paper is primarily to research the main models for measuring and managing organizational performance that have a significant impact in this area, and then to define a new framework for an integrated performance measurement system that would be suitable for implementation and application in companies of the food industry in the Republic of North Macedonia. For this purpose, research was conducted on the current situation regarding the concept of measurement and management of organizational performance in those companies. The results obtained from the research were used in creating the general framework of the new adaptable integrated model for measuring organizational performance. The research is conducted with various data collection research methods. In this context, primary data is obtained by conducting an interview with the managers of the companies from the food industry in the Republic of North Macedonia. Afterward, the data is evaluated using various statistic methods that are applicable in this branch.
Item Type: | Article |
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Subjects: | Scientific Fields (Frascati) > Social Sciences > Economics and Business |
Divisions: | Faculty of Economics |
Depositing User: | Mr Dimitar Risteski |
Date Deposited: | 13 Dec 2019 06:58 |
Last Modified: | 13 Dec 2019 06:58 |
URI: | https://eprints.uklo.edu.mk/id/eprint/2189 |
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