Identifying and Prioritizing Factors Affecting the Quality of After-Sales Services with a Hybrid FUCOM and ARAS Techniques Under Uncertainty (Case Study: Mobile Phone Industry)

Document Type : Original Article

Authors

1 Master of Businee Administration, Department of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran, Email: m82goli@gmail.com

2 Associate Professor, Department of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran, Email: aa.hasani@shahroodut.ac.ir

3 Associate Professor, Department of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran, Email: resheikh@shahroodut.ac.ir

10.22091/jemsc.2026.13191.1281

Abstract

Organizations can no longer overlook customer expectations and should focus their efforts and resources on ensuring customer satisfaction. The aim of this research is to identify and prioritize the factors that impact the quality of after-sales services. To achieve this goal, a new hybrid method combining FUCOM and interval fuzzy ARAS has been utilized, with the mobile phone industry as the selected case study. A total of 16 evaluation criteria, based on key dimensions of the SERVQUAL model that significantly influence the quality of after-sales services, have been identified. These criteria, in order of importance, include assurance, reliability, responsiveness, empathy, and tangibility. Considering the importance of these factors and the ranking of service levels, it is recommended that service providers prioritize transparency, quality assurance, innovation, customer interactions, feedback mechanisms, online presence, and organizational values when designing their service offerings. When analyzing the evaluation criteria without factoring in service levels, the criteria of service guarantee, professionalism, and competence emerge as the most critical factors.

Keywords

Main Subjects

References

Alizadeh, T., Noveiry, M. J. S., Karkhah, S., Leyli, E. K., Kohan, K. S., & Vajargah, P. G. (2025). Service quality in iranian hospitals from patients' perspectives based on the SERVQUAL model: A systematic review and meta‐analysis. Health Science Reports, 8(1), Https://doi.org/e70362. 10.1002/hsr2.70362.
Aboubakr, R. M., & Bayoumy, H. M. (2022). Evaluating educational service quality among dentistry and nursing students with the SERVQUAL model: A cross-sectional study. Journal of Taibah University Medical Sciences, 17(4), 648-657. Https://doi.org/10.1016/j.jtumed.2022.01.009.
Ahmed, S., & Masud, M. M. (2014). Measuring service quality of a higher educational institute towards student satisfaction. American Journal of Educational Research, 2(7), 447-455. Https://doi.org/10.12691/education-2-7-3.
Ahn, J. S., & Sohn, S. Y. (2009). Customer pattern search for after-sales service in manufacturing. Expert Systems with Applications, 36(3), 5371-5375. Https://doi.org/10.1016/j.eswa.2008.06.061.
Badri, M. A., Abdulla, M., & Al‐Madani, A. (2005). Information technology center service quality: Assessment and application of SERVQUAL. International Journal of Quality & Reliability Management, 22(8), 819-848. Https://doi.org/10.1108/02656710510617247.
Božanić, D., Tešić, D., & Milić, A. (2020). Multicriteria decision making model with Z-numbers based on FUCOM and MABAC model. Decision Making: Applications in Management and Engineering, 3(2), 19-36. https://doi.org/10.31181/dmame2003019d.
Divandari, A., & Torkashvand, G. (2011). Recognizing the items of after sales services quality and Exploring the relationships among these items and customer satisfaction in Informatics Services Corporation. Journal of Business Management, 2(4). (In persian) https://doi.org/20.1001.1.20085907.1389.2.4.5.3.
Dombrowski, U., Engel, C., & Schulze, S. (2011). Changes and challenges in the after sales service due to the electric mobility. In Proceedings of 2011 IEEE International Conference on Service Operations, Logistics and Informatics. Https://doi.org/10.1109/SOLI.2011.5986532.
Economides, A. A., & Grousopoulou, A. (2009). Students’ thoughts about the importance and costs of their mobile devices’ features and services. Telematics and Informatics, 26(1), 57-84. Https://doi.org/10.1016/j.tele.2008.01.001.
Fazlzadeh, A., Bagherzadeh, F., & Mohamadi, P. (2011). How after-sales service quality dimensions affect customer satisfaction. African Journal of Business Management, 5(17), 7658. Https://doi.org/10/5897/AJBM11.351.
Ghasemi, H., Najafi, E., Hosseinzadeh Lotfi, F., & movahedi, F. (2022). Using a Fuzzy NSBM model with shared resources and undesirable variables for the assessment of universal banking system. Engineering Management and Soft Computing, 8(1), 190-209. (In persian) Https://doi.org/10.22091/jemsc.2019.1381.
Global Market Insights. (2025). Mobile phone after-sales services 2025-2033 overview: Trends, competitor dynamics, and opportunities. https://www.exampleurl.com
Gremler, D. D., Van Vaerenbergh, Y., Bruggen, E. C. and Gwinner, K. P. (2020), Understanding and managing customer relational benefits in services: A meta-analysis. Journal of the Academy of Marketing Science, 48(3), 565-583. Https://doi.org/10.1007/s11747-019-00701-6.
Habibi, A., Jahantigh, F. F., & Sarafrazi, A. (2015). Fuzzy Delphi technique for forecasting and screening items. Asian Journal of Research in Business Economics and Management, 5(2), 130-143. 10.5958/ Https://doi.org/2249-7307/2015/00036/5.
Hasani, A., Haseli, G., & Deveci, M. (2024). Analyzing operational risks of digital supply chain transformation using hybrid ISM-MICMAC method. OPSEARCH, 1-25. Https://doi.org/10.1007/s12597-024-00792-y.
Heydary Dahouie, J., Kazimieras Zavadskas, E., Abolhasani, M., Vanaki, A., & Turskis, Z. (2018). A novel approach for evaluation of projects using an interval–valued fuzzy additive ratio assessment (ARAS) method: A case study of oil and gas well drilling projects. Symmetry, 10(2), Https://doi.org/45. 10.3390/sym10020045.
Hosseini, S. , faryabi, M. , gholizadeh, M. and gholizadeh, M. (2020). The impact of service quality and fair price on customer satisfaction with the mediating role of corporate image (Reviewing and comparing the activities of mobile operators in the international arena). Journal of International Business Administration, 3(3), 135-150. (In Persian) Https://doi.org/10.22034/JIBA.2021.30732.1082.
Huang, S. T., Bulut, E., & Duru, O. (2019). Service quality evaluation of international freight forwarders: An empirical research in East Asia. Journal of Shipping and Trade, 4(1), 14. Https://doi.org/10.1186/s41072-019-0053-6.
Javan Amani, V., & Akbari, H. (2022). The effect of quality of banking services on customer satisfaction using SERVQUAL model (Case study: Maskan Bank Branches in Tehran). Islamic Economics & Banking, 11(40), 43-64. (In Persian)
Kansra, P., & Jha, A. K. (2016). Measuring service quality in Indian hospitals: An analysis of SERVQUAL model. International Journal of Services and Operations Management, 24(1), 1-17. Https://doi.org/10.1504/IJSOM.2016.075761.
Kumar, A. (2017). Effect of service quality on customer loyalty and the mediating role of customer satisfaction: An empirical investigation for the telecom service industry. Journal of Management Research and Analysis, 4(4), 159-166. Https://doi.org/10.18231/2394-2770.2018.0007.
Kurata, H., & Nam, S.-H. (2010). After-sales service competition in a supply chain: Optimization of customer satisfaction level or profit or both? International Journal of Production Economics, 127(1), 136-146. Https://doi.org/10.1016/j.ijpe.2010.05.005.
Manulik, S., Rosińczuk, J., & Karniej, P. (2016). Evaluation of health care service quality in Poland with the use of SERVQUAL method at the specialist ambulatory health care center. Patient Preference and Adherence, 1435-1442. Https://doi.org/10.2147/PPA.S108252.
Mok, C., Sparks, B., & Kadampully, J. (2013). Service quality management in hospitality, tourism, and leisure. Routledge.
Mokhtari, H., Eftekhari, A., & Javadi, M. (2022). A multi-objective decision making model based on goal programming and fuzzy AHP approach for selecting investment projects in mining sector. Engineering Management and Soft Computing, 7(2), 8-22. (In persian) Https://doi.org/ 10.22091/jemsc.2017.875.
Murali, S., & Pugazhendhi, S. (2016). An integrated model to identify and rank the after sales service strategies of firms engaged in household appliances business. International Journal of Services and Operations Management, 24(1), 99-124. Https://doi.org/10.1504/IJSOM.2016.075765.
Naik, C. K., Gantasala, S. B., & Prabhakar, G. V. (2010). Service quality (SERVQUAL) and its effect on customer satisfaction in retailing. European Journal of Social Sciences, 16(2), 231-243.
Rabbad, M. F. A. A. (2025). The effect of after-sales services quality, customer ratings and reviews towards customer purchase intention and customers loyalty through customers satisfaction as intervening variable (Case of Tokopedia e-commerce platform in Surabaya Indonesia). International Journal of Entrepreneurship and Business Development, 8(1), 52-58. Https://doi.org/10.29138/ijebd.v8i1.3061.
Rezaeenour, J., & Deimazar, H. (2022). The evaluation of influencing factors of electronic customer relationship management adoption in e-commerce. Engineering Management and Soft Computing, 7(1), 215-240. (In persian) Https://doi.org/10.22091/jemsc.2016.766.
Sathish kumar, V., Kamalesh, M., & Vignesh, S. (2025). Service quality gap analysis of Suryabala Honda. Int. J. Res. Manage, 7(1), 569-571. Https://doi.org/10.33545/26648792.2025.v7.i1f.322.
Seiler, S., Yao, S., & Wang, W. (2017). Does online word of mouth increase demand? (and how?) Evidence from a natural experiment. Marketing Science, 36(6), 838-861. Https://doi.org/10.1287/mksc.2017.1045.
Shafiei, A., & Jamshidi, M. (2022). Effect of the quality of after sales services of Kia Motors Automobile Dealers in Tehran using the Servqual Model. Educational Administration Research, 51,41-52. (In Persian)
Sheikh, R., & Shambayati, H. (2018). Self-assessment of the company's excellence trend in the time series by analyzing the quality cost based on the ARAS method using definitive, interval-fuzzy information (Case Study: Ceramic industry). Journal of Services Operation Management, 1(1), 29-53.
Shokouhyar, S., Shokoohyar, S., & Safari, S. (2020). Research on the influence of after-sales service quality factors on customer satisfaction. Journal of Retailing and Consumer Services, 56, 102139. Https://doi.org/10.1016/j.jretconser.2020.102139.
Sivadas, E., & Baker‐Prewitt, J. L. (2000). An examination of the relationship between service quality, customer satisfaction, and store loyalty. International Journal of Retail & Distribution Management, 28(2), 73-82. Https://doi.org/10.1108/09590550010315223.
Turskis, Z., & Zavadskas, E. K. (2010). A new fuzzy additive ratio assessment method (ARAS‐F). Case study: The analysis of fuzzy multiple criteria in order to select the logistic centers location. Transport, 25(4), 423-432. Https://doi.org/10.3846/transport.2010.52.
Van Birgelen, M., de Ruyter, K., de Jong, A., & Wetzels, M. (2002). Customer evaluations of after-sales service contact modes: An empirical analysis of national culture's consequences. International Journal of Research in Marketing, 19(1), 43-64. Https://doi.org/10.1016/S0167-8116(02)00047-2.
WhgShi, Z., & Shang, H. (2020, July 19–24). A review on quality of service and servqual model. HCI in business, government and organizations. In 7th International Conference, HCIBGO 2020, Held as Part of the 22nd HCI International Conference. Copenhagen, Denmark. Https://doi.org/10.1007/978-3-030-50341-3_15.
Wilson, A., & Frimpong, K. (2012). Measuring service orientation of service delivery employees. In 12th International Research Conference in Service Management.
Yousapronpaiboon, K. (2014). SERVQUAL: Measuring higher education service quality in Thailand. Procedia-Social and Behavioral Sciences, 116, 1088-1095. https://doi.org/10.1016/j.sbspro.2014.01.350.
Zeithaml, V. A., Parasuraman, A., & Berry, L. L. (1990). Delivering quality service: Balancing customer perceptions and expectations. Simon and Schuster.
Jafari, M., Akhavan, P., & Akbari, A. H. (2026). Enhancing supply chain agility and performance through big data analytics: the role of digitalization and top management support. International Journal of Productivity and Performance Management, 1-22. https://doi.org/10.1108/IJPPM-06-2025-0557
Tavakkoli-Moghaddam, R., Akbari, A. H., Tanhaeean, M., Moghdani, R., Gholian-Jouybari, F., & Hajiaghaei-Keshteli, M. (2024). Multi-objective boxing match algorithm for multi-objective optimization problems. Expert Systems with Applications, 239, 122394. https://doi.org/10.1016/j.eswa.2023.122394
Yavari, M., Marvi, M., & Akbari, A. H. (2020). Semi-permutation-based genetic algorithm for order acceptance and scheduling in two-stage assembly problem. Neural Computing and Applications, 32, 2989-3003. https://doi.org/10.1007/s00521-019-04027-w
 
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