A Model for performance evaluation of digital game industry using integrated AHP and BSC

Moradi, Nima; Malekmohammad, Hossein; Jamalzadeh, Saeed

doi:10.22105/jarie.2018.130777.1037

Document Type : Research Paper

Authors

¹ Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran.

² Department of Railway Engineering, Iran University of Science and Technology, Tehran, Iran.

https://doi.org/10.22105/jarie.2018.130777.1037

Abstract

Nowadays, due to continuous changes in the environment of organizations, the performance evaluation of productive or non-productive companies is not as simple as the past. In spite of the high sale and income of existing companies in the game industry, there are always unsuccessful game products and failed companies. So the digital game industry needs an appropriate performance evaluation system. In this paper, a model for performance assessment of companies in the digital game industry is proposed using integrated Analytic Hierarchy Process (AHP) and Balanced Scorecard (BSC) approach. In order to design the evaluation system, the strategies and visions of the game companies are extracted as the initial step. The next step is to extract corresponding attributes and measures based on the four dimensions of the Balanced Scorecard. In the following, the weights of each measure, attributes and dimensions are obtained based on the expert’s opinion. Finally, the results of the implementation of the proposed model of the digital game company are calculated and the efficiency of the model for performance evaluation of the digital game industry is shown.

Keywords

Main Subjects

Performance evaluation and benchmarking

References

[1] Marchand, A., & Hennig-Thurau, T. (2013). Value creation in the video game industry: Industry economics, consumer benefits, and research opportunities. Journal of interactive marketing, 27(3), 141-157.

[2] Granic, I., Lobel, A., & Engels, R. C. (2014). The benefits of playing video games. American psychologist, 69(1), 66.

[3] Marcoux, J., & Selouani, S. A. (2009, March). A hybrid subspace-connectionist data mining approach for sales forecasting in the video game industry. Proceedings of 2009 WRI world congress on computer science and information engineering (pp. 666-670). Los Angeles, CA, USA: IEEE.

[4] Chang, T. S. (2011). A comparative study of artificial neural networks, and decision trees for digital game content stocks price prediction. Expert systems with applications, 38(12), 14846-14851.

[5] Cox, J. (2014). What makes a blockbuster video game? An empirical analysis of US sales data. Managerial and decision economics, 35(3), 189-198.

[6] Chand, D., Hachey, G., Hunton, J., Owhoso, V., & Vasudevan, S. (2005). A balanced scorecard based framework for assessing the strategic impacts of ERP systems. Computers in industry, 56(6), 558-572.

[7] Martinsons, M., Davison, R., & Tse, D. (1999). The balanced scorecard: a foundation for the strategic management of information systems. Decision support systems, 25(1), 71-88.

[8] Beitel, G. A., Gertman, D. I., & Plum, M. M. (2004). Balanced scorecard method for predicting the probability of a terrorist attack. WIT transactions on ecology and the environment, 77.

[9] Cebeci, U. (2009). Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard. Expert systems with applications, 36(5), 8900-8909.

[10] Yüksel, İ., & Dağdeviren, M. (2010). Using the fuzzy analytic network process (ANP) for Balanced Scorecard (BSC): A case study for a manufacturing firm. Expert systems with applications, 37(2), 1270-1278.

[11] Ramasamy, N., Rajesh, R., Pugazhendhi, S., & Ganesh, K. (2016). Development of a hybrid BSC-AHP model for institutions in higher education. International journal of enterprise network management, 7(1), 13-26.

[12] Bentes, A. V., Carneiro, J., da Silva, J. F., & Kimura, H. (2012). Multidimensional assessment of organizational performance: Integrating BSC and AHP. Journal of business research, 65(12), 1790-1799.

[13] Sundharam, V. N., Sharma, V., & Stephan Thangaiah, I. S. (2013). An integration of BSC and AHP for sustainable growth of manufacturing industries. International journal of business excellence, 6(1), 77-92.

[14] Mohaghar, A., Hakkak, M., & Yaghoubi, H. (2014). Efficiency evaluation of foreign currrency branches of bank keshavarzi of Iran Using integated BSC, DEA and AHP approaches. International Journal of industiral engineering & producion management, 25(2), 237-247.

[15] Mehrolhassani, M. H., Emami, M., Haghdoost, A. A., Dehnavieh, R., Amanpour, S., Sabbah, F., & Bazrafshan, M. (2017). Performance assessment of medical universities using balanced scorecard and analytical hierarchy process. Iranian journal of epidemiology, 12(5), 55-64.

[16] Zare, S. (2017). Identifying and prioritizing supply chain management strategic factors based on integrated BSC-AHP approach (Master's thesis). Available from diva-portal.org

[17] Pérez, C. Á., Montequín, V. R., Fernández, F. O., & Balsera, J. V. (2017). Integration of balanced scorecard (BSC), strategy map, and fuzzy analytic hierarchy process (FAHP) for a sustainability business framework: a case study of a Spanish software factory in the financial sector. Sustainability, 9(4), 527.

[18] Yaghoobi, T., & Haddadi, F. (2016). Organizational performance measurement by a framework integrating BSC and AHP. International journal of productivity and performance management, 65(7), 959-976.

[19] Shoghli, A., & Roshenas, K. (2017). Application of balance score card (BSC) and analytic hierarchical process (AHP) in assessment of academic departments & 58; A case study in Zanjan school of pharmacy. Journal of medical education development, 9(22), 53-63.

[20] Shuxin, W., & Yu, B. (2016). Research on evaluation of innovative business incubator service ability based on BSC and AHP. Proceedings of the 13th international conference on innovation and management. Kuala Lumpur, Malaysia: Wuhan University of Technology Press.

[21] Kaplan, R. S., & Norton, D. P. (2007). Balanced scorecard. Das summa summarum des management (pp. 137-148). Gabler.

[22] Van Grembergen, W. (2000, May). The balanced scorecard and IT governance. Proceedings of the 2000 information resources management association international conference on challenges of information technology management in the 21st century (pp. 1123-1124). IGI Global.

[23] Isoraite, M. (2008). The balanced scorecard method: From theory to practice. Intelektine ekonomika, (1).

[24] Saaty, T. L. (1994). How to make a decision: the analytic hierarchy process. Interfaces, 24(6), 19-43.

[25] Satty, T. L. (2004). Decision making—the analytic hierarchy and network processes (AHP/ANP). Journal of systems science and systems engineering, 13(1), 1-35.

Journal of Applied Research on Industrial Engineering

A Model for performance evaluation of digital game industry using integrated AHP and BSC

References

References

Volume 5, Issue 2
September 2018
Pages 97-109

A Model for performance evaluation of digital game industry using integrated AHP and BSC

References

References

Volume 5, Issue 2September 2018Pages 97-109

Volume 5, Issue 2
September 2018
Pages 97-109