Analyzing the efficiency of intellectual capital: a new approach based on DEA-MPI technology
Abstract
Purpose
This study develops a robust model to measure intellectual capital efficiency (ICE). It also analyzes ICE across Gulf companies, sectors and countries.
Design/methodology/approach
This study uses data envelopment analysis (DEA), the Malmquist productivity index (MPI), difference tests and additional analyses on a dataset consisting of 276 firm-year observations.
Findings
The findings indicate that the study model is robust to additional analysis. The results show significant differences in ICE between firms during the study period and noteworthy differences between countries, where the Qatari and Bahraini firms achieved the best ICE compared to other countries.
Practical implications
The results of this study have significant ramifications for increasing knowledge of ICE analysis models among relevant parties. In addition, the findings may affect trading strategies because investors and financiers are motivated by the potential for lucrative financial returns on their investments in companies that prioritize ICE strategies.
Originality/value
This research contributes to the literature by proposing a robust model for estimating the ICE. It also compares ICE across Gulf companies, industries and countries to shed light on their ICE challenges.
Keywords
Acknowledgements
Author contributions: The first author conceived the project and planning; fundamental analysis; the framework and statistical models; collected data and analyzed it; wrote the paper, including abstract, introduction, theoretical background, literature review, methodology, empirical results, and conclusion; reviewed and proofread the paper; and responded to the editor and reviewers' comments. The second author conceived the project; participated in results and analyses; and reviewed the paper.
Data availability statement: Data will be made available on request.
Declaration of competing interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Funding declaration: This research received no external funding.
Since acceptance of this article, the following author have updated their affiliations: Nahia Mourad is at the Faculty of Engineering and IT, British University in Dubai, Dubai, United Arab Emirates.
Citation
Habib, A.M. and Mourad, N. (2023), "Analyzing the efficiency of intellectual capital: a new approach based on DEA-MPI technology", Benchmarking: An International Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/BIJ-06-2022-0384
Publisher
:Emerald Publishing Limited
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