Dimensions of Business Ecosystem Efficiency
- Conference paper
- First Online: 01 September 2017
- Cite this conference paper
- Aldona Małgorzata Dereń 17 ,
- Arkadiusz Górski 18 ,
- Agnieszka Parkitna 17 &
- Jan Skonieczny 17
Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 657))
Included in the following conference series:
- International Conference on Information Systems Architecture and Technology
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The research paper refers to the complexity of the business ecosystem’s efficiency by attempting to describe the dimensions of organizational efficiency of the business ecosystem. The paper presents a business ecosystem as a set of organizations that interact with one another by creating various correlations and relationships of a symbiotic character - from competing to cooperative. Eight models of measurement of organizational efficiency were identified and systematized following the subject literature. Their analysis and own research allowed the authors to point out another model of measuring the efficiency of business ecosystems, which was named relational.
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Management Infrastructure Department, Faculty of Computer Science and Management, Wrocław University of Technology, Wrocław, Poland
Aldona Małgorzata Dereń, Agnieszka Parkitna & Jan Skonieczny
Systems Management Department, Faculty of Computer Science and Management, Wrocław University of Technology, Wrocław, Poland
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Correspondence to Aldona Małgorzata Dereń .
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Department of Management Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland
Zofia Wilimowska
Department of Computer Science, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland
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Jerzy Świątek
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Dereń, A.M., Górski, A., Parkitna, A., Skonieczny, J. (2018). Dimensions of Business Ecosystem Efficiency. In: Wilimowska, Z., Borzemski, L., Świątek, J. (eds) Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017. ISAT 2017. Advances in Intelligent Systems and Computing, vol 657. Springer, Cham. https://doi.org/10.1007/978-3-319-67223-6_13
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DOI : https://doi.org/10.1007/978-3-319-67223-6_13
Published : 01 September 2017
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