Iranian journal of management sciences

Iranian journal of management sciences

Designing Performance Criteria for Insurance Sales Representatives Using a Hybrid Approach of Soft Systems Methodology and MARCOS

Document Type : Original Manuscript

Authors
1 Qom
2 Management
100/jiams.2026.9185.7990
Abstract
One of the priority issues is designing a comprehensive framework for monitoring the performance of insurance representatives. This study aims to design a multidimensional set of criteria to gain a holistic understanding of sales representatives' performance. Given the social nature of performance evaluation systems and the capability of Soft Systems Methodology (SSM) in comprehending this phenomenon from various perspectives and contexts, SSM was employed to design performance evaluation criteria for insurance sales representatives. Following the steps of SSM, first, a rich picture of the problem situation was drawn. Subsequently, considering the stakeholders identified in the rich picture, 13 interviews were conducted with company managers. Thematic analysis of these interviews led to the formulation of root definitions and the construction of conceptual models. By comparing these models with the rich picture,One of the priority issues is designing a comprehensive framework for monitoring the performance of insurance representatives. This study aims to design a multidimensional set of criteria to gain a holistic understanding of sales representatives' performance. Given the social nature of performance evaluation systems and the capability of Soft Systems Methodology (SSM) in comprehending this phenomenon from various perspectives and contexts, SSM was employed to design performance evaluation criteria for insurance sales representatives. Following the steps of SSM, first, a rich picture of the problem situation was drawn. Subsequently, considering the stakeholders identified in the rich picture, 13 interviews were conducted with company managers. Thematic analysis of these interviews led to the formulation of root definitions and the construction of conceptual models. By comparing these models with the rich picture, potential changes to improve the current system were identified, focusing on the design and refinement of criteria and indicators for evaluating sales representatives' performance. Thereafter, using the Multi-Criteria Decision-Making (MCDM) method known as MARCOS, the identified criteria were ranked and prioritized based on their importance.One of the priority issues is designing a comprehensive framework for monitoring the performance of insurance representatives. This study aims to design a multidimensional set of criteria to gain a holistic understanding of sales representatives' performance. Given the social nature of performance evaluation systems and the capability of Soft Systems Methodology (SSM) in comprehending this phenomenon from various perspectives and contexts, SSM was employed to design performance evaluation criteria for insurance sales representatives. Following the steps of SSM, first, a rich picture of the problem situation was drawn. Subsequently, considering the stakeholders identified in the rich picture, 13 interviews were conducted with company managers. Thematic analysis of these interviews led to the formulation of root definitions and the construction of conceptual models. By comparing these models with the rich picture, potential changes to improve the current system were identified, focusing on the design and refinement of criteria and indicators for evaluating sales representatives' performance. Thereafter, using the Multi-Criteria Decision-Making (MCDM) method known as MARCOS, the identified criteria were ranked and prioritized based on their importance.One of the priority issues is designing a comprehensive framework for monitoring the performance of insurance representatives. This study aims to design a multidimensional set of criteria to gain a holistic understanding of sales representatives' performance. Given the social nature of performance evaluation systems and the capability of Soft Systems Methodology (SSM) in comprehending this phenomenon from various perspectives and contexts, SSM was employed to design performance evaluation criteria for insurance sales representatives. Following the steps of SSM, first, a rich picture of the problem situation was drawn. Subsequently, considering the stakeholders identified in the rich picture, 13 interviews were conducted with company managers. Thematic analysis of these interviews led to the formulation of root definitions and the construction of conceptual models. By comparing these models with the rich picture, potential changes to improve the current system were identified, focusing on the design and refinement of criteria and indicators for evaluating sales representatives' performance. Thereafter, using the Multi-Criteria Decision-Making (MCDM) method known as MARCOS, the identified criteria were ranked and prioritized based on their importance.
Keywords
Subjects

Alirezaee, M. R., Cheraghi, Z., & Rakhshan, F. (2016). Efficiency measurement of selected insurance companies using two-stage DEA models along with window analysis. Iranian Journal of Insurance Research, 5(4), 1–24. https://doi.org/10.22056/ijir.2016.04.01 [In Persian]
Atabaki Nia, N., Ebadati, O., & Hamzeh, A. (2023). Identification and ranking of the effects of InsurTech on the business model of insurance companies: A hybrid model of MCDM, DEMATEL, and ANP. Iranian Journal of Insurance Research, 12(3), 213–224. https://doi.org/10.22056/ijir.2023.03.04 [In Persian]
Bao, N. J., Ramlan, R., Mohamad, F., & Yassin, A. M. (2018). Performance of Malaysian insurance companies using data envelopment analysis. Indonesian Journal of Electrical Engineering and Computer Science, 11(3), 1147–1151. https://doi.org/10.11591/ijeecs.v11.i3.pp1147-1151
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Checkland, P., & Tsouvalis, C. (1997). Reflecting on SSM: The link between root definitions and conceptual models. Systems Research and Behavioral Science, 14(3), 153–162.
Dwivedi, R., Prasad, K., Mandal, N., Singh, S., Vardhan, M., & Pamucar, D. (2021). Performance evaluation of an insurance company using an integrated balanced scorecard (BSC) and best-worst method (BWM). Decision Making: Applications in Management and Engineering, 4(1), 33–50. https://doi.org/10.31181/dmame2104033d
Ebrahimi, S. A., & Eynali, M. (2019). Developing a framework to explain public policy capture using thematic analysis and interpretive structural modeling (ISM). Journal of Public Administration, 11(3), 403–430. https://doi.org/10.22059/jipa.2019.277891.2513
Ebrahimi, K. Azar, A. and Chit Sazian, A. (1399). How to use Doulat electronic services Reading resource: Peshkhan Doulat notebooks. Department of Obstetrics and Operations, 11(1), 89-109. doi: 10.22108/jpom.2020.121911.1250
Iran Central Insurance. (2022). Statistical yearbook of Iran’s insurance industry. https://centinsur.ir/fa-IR/Portal/540 [In Persian]
Iran Central Insurance. (2026). Statistical yearbook of Iran’s insurance industry. https://centinsur.ir/fa-IR/Portal/540 [In Persian]
Kaffash, S., Azizi, R., Huang, Y., & Zhu, J. (2020). A survey of data envelopment analysis applications in the insurance industry 1993–2018. European Journal of Operational Research, 284(3), 801–813. https://doi.org/10.1016/j.ejor.2019.07.034
Kashanipoor, M., & Ghazizadeh, M. (2009). Identifying effective influential variables and ratios on measuring bank branch efficiency. Daneshvar Raftar Journal, 15(32), 93–108. [In Persian]
Kazemi, A., & Mirzaei Nabi, M. (2018). Performance evaluation of insurance company agencies using EFQM indicators and DEA method. Accounting and Economic Research, 2(3), 50–70. [In Persian]
Khalili, Y., Sadeghi, M., Khonaka, A., & Momeni Yanesari, A. (2025). Analyzing the role of audit committee effectiveness and internal audit performance quality in social responsibility reporting in insurance companies. Iranian Journal of Insurance Research, 14(4), 295–310. https://doi.org/10.22056/ijir.2025.04.03 [In Persian]
Majidi, A., Qaradaghi, R., & Kavousi, T. (2016, November). Identifying and prioritizing the factors affecting the marketing and sales of life insurance in Iran Insurance Company of East Azerbaijan Province. In Proceedings of the First National Conference on New Approaches in Accounting and Management, Mianeh. https://civilica.com/doc/7260177 [In Persian]
Masoumi, M., Mahmoudzadeh, V., Salehnia, M., & Mohammadi, M. (2025). Designing a model for the development of life insurance sales (Case study of Khorasan Razavi). Quarterly Journal of Urban Economics and Management, 13(51), 51–65. [In Persian]
Nahavandi, N., & Sharifinia, M. (2018). Designing a model for performance evaluation and ranking of insurance companies by integrated BSC-DEA method. Sharif Journal of Industrial Engineering and Management, 33(1), 27–37. https://doi.org/10.24200/j65.2018.5516 [In Persian]
Omrani, H., Gharizadeh Beiragh, R., & Shafie Kaleibari, S. (2015). Performance assessment and ranking of Iranian insurance companies using an integrated model with experts’ preferences. Industrial Management Journal, 6(4), 791–807. https://doi.org/10.22059/imj.2014.50702 [In Persian]
Parsapoor, M., & Shekarkhah, J. (2025). The impact of performance measurement systems on organizational performance considering the mediating role of public accountability. Governmental Accounting, 11(2), 1–26. https://doi.org/10.30473/gaa.2025.73918.1795 [In Persian]
Poolnews. (2016). Details of how to rank insurance agents. https://www.poollnews.ir/000nEe [In Persian]
Ranjbarfard, M., & Dadashi, F. (2025). Examining the applications of Internet of Things technology and its acceptance rate in the insurance industry. Sciences and Techniques of Information Management, 11(2), 133–172. https://doi.org/10.22091/stim.2024.10757.2099 [In Persian]
Rashidi, M., & Seyednaghavi, M. (2025). Pathology of the human resource management model of slack employees: The function of performance evaluation, control, reward, and compensation. Public Organizations Management, 13(2), 177–192. https://doi.org/10.30473/ipom.2023.68507.4851 [In Persian]
Rezghi Shirsavar, H., & Vali, M. (2019). Prioritizing performance indicators of an insurance company using the grey multi-criteria decision-making method. Iranian Journal of Insurance Research, 8(1), 65–84. https://doi.org/10.22056/ijir.2019.01.04 [In Persian]
Sabzi, M., Khojair, F., & Rashidi, A. (2013, November). Proper monitoring system of insurance sales network. Paper presented at the 20th National Insurance and Development Conference, Tehran. https://civilica.com/doc/825688 [In Persian]
Sadeghiyan, T., Khademi Zare, H., & Hamzeh, A. (2024). Using one-stage and two-stage DEA model to rank insurance agencies considering different parts of the supply chain. Supply Chain Management, 26(84), 61–75. [In Persian]
Safari, S., Moradi Doliskani, S., & Reisi Ghorban Abadi, H. (2017). An MCDM framework (enriched PROMETHEE) for performance measurement and ranking of insurance companies. Iranian Journal of Insurance Research, 6(1), 1–22. https://doi.org/10.22056/ijir.2017.01.01 [In Persian]
Sardar, S., & Papey, S. (2014). Investigating the status of marketing channels in the insurance industry using ANP and DEA techniques. Business Management, 5(20), 97–118. [In Persian]
Siahsarani, M., & Zarei, A. (2015). Identification and screening of the challenges facing the sales network in the insurance industry and solution using fuzzy Delphi technique. New Marketing Research Journal, 5, 111–124. [In Persian]