An Application of Data Envelopment Analysis and Game Theory for Appraisal of Balanced Scorecard Indexes in Media Industry


  • Ali Taherinezhad PhD Candidate, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran.
  • Alireza Alinezhad Associate Professor, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran.
  • Saber Gholami MSc Graduate of Industrial Engineering, Caspian Higher Education Institute, Qazvin, Iran.



Media Industry, Performance Assessment, Balanced Scorecard (BSC), Data Envelopment Analysis (DEA), Game Theory


Todays, the media industry encompasses all businesses that allow information to be shared (traditional and digital media). Media is vast, large, and ever-growing, and is an incredibly popular sector at the minute, and an extremely interesting area to research work in. This paper considered a news agency of media organization as a Decision-Making Unit (DMU). The aim of the study was to evaluate the role of Balanced Scorecard (BSC) indexes on measuring the efficiency of DMU. This was done by a new hybrid model of Data Envelopment Analysis (DEA), cooperative game theory and Shapley value index. The initial values of the DEA model were selected from among the BSC indexes in four perspectives (i.e., financial, customer, internal processes, and growth and learning). Finally, the proposed model was experimented on a case study and the computational results were obtained. The results showed that the profitability ratio with a Shapley value of 2.903 and the percentage of satisfied audiences with a Shapley value of 0.404 had the highest and lowest reflection in performance assessment, respectively. The rest of the results were presented and discussed in detail. This study can reveal scientific orientation to increase organizational performance to media managers and policymakers.


R. Kiani Mavi, A. Makui, S. Fazli, and A. Alinezhad, "A forecasting method in data envelopment analysis with group decision making," International Journal of Applied Management Science, vol. 2, no. 2, pp. 152-168, 2010.

H. Fitria, D. H. Widyaningrum, R. Malik, N. I. Safutra, and Y. Herdianzah, "To Optimization Of Chicken Feed Production Using Goal Programming Method At PT. Japfa Comfeed Indonesia Tbk. Unit Makassar," Journal of Industrial System Engineering and Management, vol. 1, no. 1, pp. 1-5, 2022.

A. Alinezhad and A. Taherinezhad, "Performance Evaluation of Production Chain using Two-Stage DEA Method (Case Study: Iranian Poultry Industry)," new economy and trad, vol. 16, no. 3, pp. 105-130, 2021.

K. Sarrafha, A. Kazemi, and A. Alinezhad, "A multi-objective evolutionary approach for integrated production-distribution planning problem in a supply chain network," Journal of Optimization in Industrial Engineering, vol. 7, no. 14, pp. 89-102, 2014.

J. Khalili and A. Alinezhad, "Performance evaluation in green supply chain using BSC, DEA and data mining," International journal of supply and operations management, vol. 5, no. 2, pp. 182-191, 2018.

A. Taherinezhad and A. Alinezhad, "Nations performance evaluation during SARS-CoV-2 outbreak handling via data envelopment analysis and machine learning methods," International Journal of Systems Science: Operations & Logistics, vol. 10, no. 1, p. 2022243, 2023.

A. Taherinezhad and A. Alinezhad, "COVID-19 Crisis Management: Global Appraisal using Two-Stage DEA and Ensemble Learning Algorithms," Scientia Iranica, Article in press, 2022.

Y. Li and L. Liang, "A Shapley value index on the importance of variables in DEA models," Expert systems with Applications, vol. 37, no. 9, pp. 6287-6292, 2010.

C.-Y. Chiang and B. Lin, "An integration of balanced scorecards and data envelopment analysis for firm's benchmarking management," Total quality management, vol. 20, no. 11, pp. 1153-1172, 2009

A. Asosheh, S. Nalchigar, and M. Jamporazmey, "Information technology project evaluation: An integrated data envelopment analysis and balanced scorecard approach," Expert systems with applications, vol. 37, no. 8, pp. 5931-5938, 2010.

K. Nakabayashi and K. Tone, "Egoist's dilemma: a DEA game," Omega, vol. 34, no. 2, pp. 135-148, 2006.

W. Jie, L. Liang, and Y.-c. ZHA, "Determination of the weights of ultimate cross efficiency based on the solution of nucleolus in cooperative game," Systems Engineering-Theory & Practice, vol. 28, no. 5, pp. 92-97, 2008.

C. A. Amado, S. P. Santos, and P. M. Marques, "Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment," Omega, vol. 40, no. 3, pp. 390-403, 2012.

A. Charnes, W. W. Cooper, and E. Rhodes, "Measuring the efficiency of decision making units," European journal of operational research, vol. 2, no. 6, pp. 429-444, 1978.

R. D. Banker, A. Charnes, and W. W. Cooper, "Some models for estimating technical and scale inefficiencies in data envelopment analysis," Management science, vol. 30, no. 9, pp. 1078-1092, 1984




How to Cite

A. Taherinezhad, A. Alinezhad, and S. Gholami, “An Application of Data Envelopment Analysis and Game Theory for Appraisal of Balanced Scorecard Indexes in Media Industry”, JISEM, vol. 2, no. 2, pp. 47–59, Dec. 2023.