Analysis of evaluation model of organizational units' performance with Sink-Tuttle approach using data envelopment analysis
محورهای موضوعی : Data Envelopment Analysis
Nazila Adabavazeh
1
,
Ahmad Edalatpanah
2
,
Mehrzad Nvabakhsh
3
1 - Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
2 - Department of Applied Mathematics, Ayandegan Higher Education Institute, Tonekabon, IRAN
3 - Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, IRAN
کلید واژه: Data envelopment analysis, Performance Evaluation, Sink-Tuttle Model,
چکیده مقاله :
The existence of a performance evaluation system is inevitable due to the dramatic changes in the business environment. The comprehensive performance evaluation attempts to identify institutional units' potential strength and role in influencing the organizations' performance. This study aims to analyze the performance evaluation according to seven dimensions of the Sink and Tuttle model using data envelopment analysis. The result of the seven dimensions of the Sync-Tuttle model is the creation of a comprehensive performance evaluation system in organizations, which leads to the improvement of organizational performance. The proposed model covers all essential performance indicators and takes steps with more generalizability and more realistic evaluation than other performance evaluation systems.In this research, the performance of eight organizational units of the NIPA Company has been evaluated. A total of seven variables of the Sink-Tuttle model are input, and the performance level of organizational units is the output of the proposed model. Coordination between strategies, organizational learning, and knowledge management is recommended to improve organizational performance. The overlap of the evaluation results in the sink and Tuttle model and the data envelopment analysis indicates the validity of the proposed model.Action in the inefficient units can be taken by implementing training, changing key people, developing a participatory system, establishing a performance evaluation system with appropriate criteria, and developing management based on purpose. The results of the proposed performance evaluation model can be used as the main part of formulating and implementing organizations' policies.
The existence of a performance evaluation system is inevitable due to the dramatic changes in the business environment. The comprehensive performance evaluation attempts to identify institutional units' potential strength and role in influencing the organizations' performance. This study aims to analyze the performance evaluation according to seven dimensions of the Sink and Tuttle model using data envelopment analysis. The result of the seven dimensions of the Sync-Tuttle model is the creation of a comprehensive performance evaluation system in organizations, which leads to the improvement of organizational performance. The proposed model covers all essential performance indicators and takes steps with more generalizability and more realistic evaluation than other performance evaluation systems.In this research, the performance of eight organizational units of the NIPA Company has been evaluated. A total of seven variables of the Sink-Tuttle model are input, and the performance level of organizational units is the output of the proposed model. Coordination between strategies, organizational learning, and knowledge management is recommended to improve organizational performance. The overlap of the evaluation results in the sink and Tuttle model and the data envelopment analysis indicates the validity of the proposed model.Action in the inefficient units can be taken by implementing training, changing key people, developing a participatory system, establishing a performance evaluation system with appropriate criteria, and developing management based on purpose. The results of the proposed performance evaluation model can be used as the main part of formulating and implementing organizations' policies.
Adabavazeh, N., & Nikbakht, M. (2020). Organization's performance measurement model based on the critical success factors of the reverse supply chain in airline industry with a quality gap approach. Journal of Industrial Engineering and Management Studies. 7(1), 177-190. doi: 10.22116/jiems.2020.110016.
Adabavazeh, Nazila, & Nikbakht, Mehrdad (2020). Organizational Units Performance Assessment Model With TOPP Approach. 6th international conference of industrial engineering and systems, Mashhad Ferdowsi University.
Allahyarzadeh, Zahra (2014). Assessment of The Effect of Intellectual Capital As A Knowledge Management Tool On The Financial Performance of Banking Industry (A Case Study: Parsian Bank). Master thesis, Tehran Islamic Azad University, Tehran, South branch.
Behboodi, Omid, Rajouei, Morteza, Zaraei, Azim, & Shojaei Baghini, Golnar (2018). Designing a Model for Marketing Performance Evaluation Criteria in the Iranian Tourism Industry, Journal of Tourism and Development. Volume 7, Number 4, pp. 61-82.
Boostani, Nasim (2013). Comparison of Quality of Life And The Factors Affecting It Among Abused Children And Normal Children Aged 14-10 In Birjand In 2012. Master Thesis, Allameh Tabatabai University, Part-time Pardis.
Camisón,C.,Villar-López, A. (2014). Organizational innovation as an enabler of technological innovation capabilities and firmperformance. Journal of Business Research 67, 2891–2902.
Changa, Yu, Wang, Xinchun, & Arnett, Dennis B.(2018). Enhancing firm performance: The role of brand orientation in business-to-business marketing. Industrial Marketing Management.
Farhad Hosseinzadeh Lotfi, Ali Ebrahimnejad, Mohsen Vaez-Ghasemi, & Zohreh Moghaddas (2020). Data envelopment analysis with R, Springer International Publishing.
Ghalayini, A.M., Noble, J.S. and Crowe, & T.J. (1997). An Integrated Dynamicperformance Measurement system for Improving Manufacturing competitiveness. International Journal of Production Economics, Vol.48, pp.25-207.
Hashemi, Seyed Ahmad, & Jafarpour, Mahboubeh (2019). The Relationship between Organizational Atmosphere and Mental Health with Organizational Efficiency of Primary School Teachers and Principals. Fourth International Conference on New Research Achievements in Social Sciences, Educational Sciences and Psychology.
Jafarnejad, Ahmad, Morovati Sharifabadi, Ali, & Asadian Ardakani, Faezeh (2013). Selected Topics in Supply Chain Management. Mehraban Publishing Institute, Tehran.
Keegan, D. P., Eiler, R. G., & Jones, C. R. (1989). Are yor performance measures obsolete. Management Accounting, June, 45-50.
Liaqatvarz, Kianoosh (2014). The Relationship Between Comprehensive Quality Management And Market Orientation Of Organizational Performance With Respect To The Moderating Role Of External Environmental Factors (In The Branches Of Insurance Companies In Guilan Province). Master Thesis. Rasht Islamic Azad University.
Mahmoudi, Omar, & Derakhshani, Omid (2017). The Effect of Organizational Structure on Organizational Effectiveness in Islamic Azad University. Quarterly Journal of New Research in Management and Accounting, Volume 3, Number 18, pp. 15-48.
Moghaddas, Zohreh, Vaez-Ghasemi, Mohsen, & Hosseinzadeh Lotfi, Farhad (2021). A Novel DEA approach for evaluating sustainable supply chains with undesirable factors. Economic Computation & Economic Cybernetics Studies & Research. 55, 2.
Nanni, A. J., Dixon, J. R. & Vollmann, T. E. (1992). Integrated performance measurment: management accounting to support the new realities. Journal of Managment Accounting Research, fall, 1-19.
Nayeri, Amir Reza (2014). Assessment of The Level of Satisfaction With Virtual In-Service Training And Its Impact On The Productivity of The Radio And Television Organization. Master Thesis. Islamic Azad University. Central Tehran Branch.
Nguyen, NP (2018). Performance implication of market orientation and use of management accounting systems: The moderating role of accountants’ participation in strategic decision making. Journal of Asian Business and Economic Studies.
Sakhaei, Ayub (2018). Meta-analysis of Satisfaction Surveys and Performance Evaluation of Social Security Organization. Social Security Quarterly, Volume 14, Number 4, pp. 55-90.
Salimi, Masoumeh, (2015). The Role Of Human Resource Productivity And Knowledge Management. Social, Economic, Scientific and Cultural Monthly of Work and Society, No. 188, pp. 49-63.
Tajik Yabr, Abdol Hossein, Najafi , Seyed Esmail, Moghaddas, Zohreh, & Shahnazari Shahrezaei, Parisa (2022). Interval Cross Efficiency Measurement for General Two-Stage Systems. Mathematical Problems in Engineering, Hindawi.
Tangen, S (2004). Evaluation and revision of performance measurement systems, PHD thesis, Stockholm, Sweden.
Tavakoli Golpayegani, Maryam, Alem Tabriz, Akbar, Amiri, Maghsoud, & Motameni, Alireza (2016). Explaining the Integrated Strategic Model of Insurance Industry Performance Evaluation. Strategic Management Studies, No. 25, pp. 151-171.
Tavallaei, Ruhollah (2007). Modern Approaches to Performance Evaluation of Organizations, Police Human Development Bi-Quarterly. No. 12, pp. 9-30.
Uygun, Özer & Dede, Aysße (2016). Performance evaluation of green supply chain management usingintegrated fuzzy multi-criteria decision making techniques. Computer & Industrial Engineering, Vo.102, 502-511.
Vaez-Ghasemi, Mohsen, Moghaddas, Zohreh, & Farzipoor Saen, Reza. (2021). Cost efficiency evaluation in sustainable supply chains with marginal surcharge values for harmful environmental factors: a case study in a food industry. Operational Research. 1-16. Springer Berlin Heidelberg.
Youseliani, Gholam Ali, Behrangi, Mohammad Reza, Arasteh, Hamidreza, & Abdollahi, Bijan (2016). Designing a Model for Evaluating the Performance of the Research System in Education (Case Study: Research Departments of the General Departments of Education of the Provinces)., Quarterly Journal of Education, No. 134, pp. 31-51.
Zhao, Huiru, & Li, Nana (2015). Evaluating the performance of thermal power enterprises using sustainability balanced scorecard, fuzzy Delphic and hybrid multi-criteria decision making approaches for sustainability. Journal of Cleaner Production, Vol.108, Part A,569-582.
