arbiter
JournalsPricingAccount

A novel hybrid BSC-DEA model for performance assessment in knowledge enterprises using balanced scorecard and data envelopment analysis approach

Bakhtiar Ostadi et al.

International Journal of Operational Research2025https://doi.org/10.1504/ijor.2025.146113article
AJG 1
Weight
0.37

What the paper says

The importance of knowledge enterprises (knowledge-based companies) in countries' economies and their role in GDP has recently increased, and many efforts have been made to achieve a comprehensive and consistent benchmark and model for evaluating these companies. Therefore, the purpose of this paper is to provide a hybrid model for performance assessment in knowledge enterprises. So, the primary indicators have been extracted by reviewing the literature and structure of knowledge enterprises. After collecting data from knowledge enterprises and combining the balanced scorecard (BSC) and data envelopment analysis (DEA) approach, a hybrid BSC-DEA model developed to assess the partial efficiency of each unit and the total efficiency of each knowledge enterprises. Finding mentioned that the ability of start-ups and knowledge enterprises to be compared with large and old ones. Also, there will be no significant difference in the performance of companies with respect to their type.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijor.2025.146113

Or copy a formatted citation

@article{bakhtiar2025,
  title        = {{A novel hybrid BSC-DEA model for performance assessment in knowledge enterprises using balanced scorecard and data envelopment analysis approach}},
  author       = {Bakhtiar Ostadi et al.},
  journal      = {International Journal of Operational Research},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijor.2025.146113},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

A novel hybrid BSC-DEA model for performance assessment in knowledge enterprises using balanced scorecard and data envelopment analysis approach

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.