| Title |
Fuzzy Modeling of Customized Solutions for Corporate Performance Assessment |
| ID_Doc |
74264 |
| Authors |
Pîslaru, M; Avasilcai, S; Alexa, LE |
| Title |
Fuzzy Modeling of Customized Solutions for Corporate Performance Assessment |
| Year |
2019 |
| Published |
Eurasian Business Perspectives: Proceedings Of The 22Nd Eurasia Business And Economics Society Conference, 10, 1 |
| DOI |
10.1007/978-3-030-11872-3_17 |
| Abstract |
The social environment in which corporations operate is affected by their actions but equally corporations experience the pressures of society. The idea that the economic environment is currently in a transition phase from the knowledge-based economy and society to the innovation economy and society is strongly emphasized by the policy makers and experts' publications and reports underlining the pressure the companies are under in order to adjust to the environmental and economic changes and to become more competitive. The paper aims to develop and test, in a textile company from Iasi, a performance assessment model based on fuzzy modelling techniques. In order to assess corporate performance Balanced Scorecard approach was considered based on fuzzy technique. The corporate performance using lagging and leading indicators suggests that business performance should be evaluated not only by using financial indicators but also by simultaneously considering non-financial indicators. This way, it is possible to evaluate the business performance from a strategic perspective, taking into account not only past results but also leading indicators. The fuzzy it is suitable for industrial firms to monitor the performance indicators that can contribute to a sustainable competitive position. |
| Author Keywords |
Corporate performance assessment; Fuzzy modeling; Expert system design; Decision making |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
| EID |
WOS:000680415700017 |
| WoS Category |
Business; Development Studies; Economics |
| Research Area |
Business & Economics; Development Studies |
| PDF |
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