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Abstract

Currently, many production facilities are very concerned about the sustainability of their production processes. Generally,   ICS users  need suppliers to maintain production facilities, especially during the operation period. Therefore,  response of supplier  is important to recover the critical equipment of production  facilities such as ICS  in Indonesia. In this study, ORM (Operational Risk Management)  was chosen as one of the independent variables along with Supplier Service Recovery to create customer satisfaction who do not have a service contract with the supplier. Strategy of suppliers is needed to find good after sales service. There is a research gap in this study between the expectations of ICS users and their Satisfaction  without considering long-terms relationship and  long term marketing /business plan. This is conducted  using a quantitative approach. Data collection method  is done by providing a list of questions and  sent to  users maintenance  managers where  are located with in Indonesia. The 20 questionnaires are developed according to each variable. The  5-point Likert scale is used.  The tool of  analyze is using the Structural  Equation Model  with    the WarpPLS   7.0. approach. ORM is found to mediate the relationship between supplier service recovery and customer satisfaction but  supplier service recovery will not give impact to customer satisfaction directly. The ORM and Supplier Service Recovery are proven to bring satisfaction to ICS customers.

Keywords

ICS Operational Risk Management Service Recovery Customer Satisfaction

Article Details

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
Gaffar, I., Agustina, I., Tohiroh, & Wicaksono, A. (2024). The Operational Risk Management and Supplier Service Recovery in Improving Customer Satisfaction. Ilomata International Journal of Management, 5(2), 569-586. https://doi.org/10.61194/ijjm.v5i2.1151

References

  1. Ali, M. A., Ting, D. H., Isha, A. S. N., Ahmad-Ur-Rehman, M., & Ali, S. (2023). Does service recovery matter? Relationships among perceived recovery justice, recovery satisfaction and customer affection and repurchase intentions: the moderating role of gender. Journal of Asia Business Studies, 17(2), 308–326. https://doi.org/10.1108/JABS-02-2021-0060
  2. AL-kiyumi, R. K., AL-hattali, Z. N., & Ahmed, E. R. (2021). Operational Risk Management and Customer Complaints in Omani Banks. Journal of Governance and Integrity, 5(1), 200–210. https://doi.org/10.15282/jgi.5.1.2021.7031
  3. Ashraf, H. A., & Manzoor, N. (n.d.). An examination of customer loyalty and customer participation in the service recovery process in the Pakistani hotel industry: A pitch. In Accounting and Management Information Systems (Vol. 16, Issue 1).
  4. Bai, X., Cheng, L., & Iris, Ç. (2022). Data-driven financial and operational risk management: Empirical evidence from the global tramp shipping industry. Transportation Research Part E: Logistics and Transportation Review, 158. https://doi.org/10.1016/j.tre.2022.102617
  5. Bourne, P., Meddings, S., & Whittington, A. (2018). An evaluation of service use outcomes in a Recovery College. Journal of Mental Health, 27(4), 359–366. https://doi.org/10.1080/09638237.2017.1417557
  6. Chang, Y.-J., Huang, P.-H., & Chiu, M.-C. (2014). Service dissatisfaction detection and service recovery analysis using a logistic regression model: an empirical study of health management motion sport game. Journal of Industrial and Production Engineering, 31(8), 504–512. https://doi.org/10.1080/21681015.2015.1006697
  7. Chiosa, A. R., & Anastasiei, B. (2017). Negative Word-of-Mouth: Exploring the Impact of Adverse Messages on Consumers’ Reactions on Facebook. Review of Economic and Business Studies, 10(2), 157–173. https://doi.org/10.1515/rebs-2017-0059
  8. Cho, Y., & Choi, Y. (2021). When and how does sustainable HRM improve customer orientation of frontline employees? Satisfaction, empowerment, and communication. Sustainability (Switzerland), 13(7). https://doi.org/10.3390/su13073693
  9. Emake, E. D., Adeyanju, I. A., & Uzedhe, G. O. (2020). Industrial Control Systems (ICS): Cyber-attacks & Security Optimization. International Journal of Computer Engineering and Information Technology, 12(5), 31–41. https://doi.org/10.47277/IJCEIT/12(5)1
  10. Etemad-Sajadi, R., & Bohrer, L. (2019). The impact of service recovery output/process on customer satisfaction and loyalty: The case of the airline industry. Tourism and Hospitality Research, 19(2), 259–266. https://doi.org/10.1177/1467358417743080
  11. Gaffar, I., Suharyono, S., & Kusumawati, A. (2022). The role of suppliers’ operation in improving customer satisfaction through pre-service recovery, service innovation and recovery (case study of industrial customers in Indonesia). In Acceleration of Digital Innovation & Technology towards Society 5.0 (pp. 96–103). Routledge. https://doi.org/10.1201/9781003222927-15
  12. Ghozali, I. (2016). Aplikasi Analisis Multivariete SPSS 23.
  13. Giannone, F. (2018). Operational Risk Measurement: A Literature Review (pp. 95–143). https://doi.org/10.1007/978-3-319-69410-8_3
  14. Griffin, J. (2016). “Customer Loyalty: Menumbuhkan dan Mempertahankan Kesetiaan Pelanggan” . Erlangga.
  15. Herdiyanto, D. G., & Djakman, C. D. (2020). Operational Risk Analysis in Construction Projects (Case Study in PT ABC). International Colloquium on Forensics Accounting and Governance, .
  16. Hu, J., Cai, S., & Zhang, L. (2017). Alarm Management Technology and Its Progress in Process Industries. Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017). https://doi.org/10.2991/caai-17.2017.63
  17. Ikatan Bankir Indonesia. (2015). Manajemen Risiko 1. Gramedia Pustaka Utama.
  18. Kurniawati, R. A., Kusyanti, A., & Mursityo, Y. T. (2018). Analysis of the Effect of Website Quality on Mister Aladin’s Customer Satisfaction Using Webqual 4.0. Journal of Information Technology and Computer Science Development, 2(3), 1151–1160. https://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/1094
  19. Lee, C.-S., & Yew, L.-Y. (2022). Enhancing customer satisfaction through open innovation communities: A comparison of knowledge management approaches. Knowledge Management and E-Learning, 14(1), 81–102. https://doi.org/10.34105/j.kmel.2022.14.006
  20. Liat, C. B., Mansori, S., Chuan, G. C., & Imrie, B. C. (2017). Hotel Service Recovery and Service Quality: Influences of Corporate Image and Generational Differences in the Relationship between Customer Satisfaction and Loyalty. Journal of Global Marketing, 30(1), 42–51. https://doi.org/10.1080/08911762.2016.1262932
  21. Line, M. B., Zand, A., Stringhini, G., & Kemmerer, R. (2014). Targeted attacks against industrial control systems: Is the power industry prepared? Proceedings of the ACM Conference on Computer and Communications Security, 2014-November(November), 13–22. https://doi.org/10.1145/2667190.2667192
  22. Lovelock, & Cristopher H. (2018). Management PemasaranJasa .
  23. Mamduh, H. (2014). Manajemen Risiko. UPP STIM YKPN.
  24. Naik, N., Shetty, D., Maddodi, B., Malarout, N., & Samant, J. (2019). Analysis of manufacturing process and production line for quality in paper industry. International Journal of Mechanical Engineering and Technology, 10, 1793–1803.
  25. Ozuem, W., Amisha, P., . K. H., & Lancaster and Geoff. (2017). An exploration of consumers’ response to online service recovery initiatives. International Journal of Market Research.
  26. Pearson, S. (2023). What is Operational Risk Management – Definition and Core Concepts”, . Https://Tallyfy.Com/Operational-Risk-Management.
  27. Pramustia, R. F., & Suyatno, D. F. (2021). Analysis of the Effect of Website Quality on Sociolla Customer Satisfaction and Loyalty Using WebQual 4.0 (Case Study: Sociolla Customers in East Java. Journal of Emerging Information Systems and Business Intelligence (JEISBI, 2(3), 94–100. https://ejournal.unesa.ac.id/index.php/JEISBI/article/view/41857
  28. Pranowo, I. D. (2019). Sistem dan Manajemen Pemeliharaan. Deepulish.
  29. Sciarelli, M., Nagm, A. A., Dakrory, M. I., Tani, M., & Khashan, M. A. (2017). Mediating Service Recovery Satisfaction in the Relationship between Internet Service Recovery and Customer Loyalty. International Journal of Business and Management, 12(10), 24. https://doi.org/10.5539/ijbm.v12n10p24
  30. Solimun, Frenandes. A.A.R, & Nurjannah. (2017). Metode Statistika Multivariat; Pemodelan persamaan Struktural (SEM) pendekatan WarpPLS. . UBPress.
  31. Srivastava, M. (2015). Influencers of Customer Satisfaction - Customer Loyalty Relationship: A Conceptual Research Model. IMJ, 7(1), 54–65.
  32. Subandi, M. A., Nihayah, M., Marchira, C. R., Tyas, T., Marastuti, A., Pratiwi, R., Mediola, F., Herdiyanto, Y. K., Sari, O. K., Good, M.-J. D., & Good, B. J. (2023). The principles of recovery-oriented mental health services: A review of the guidelines from five different countries for developing a protocol to be implemented in Yogyakarta, Indonesia. PLoS ONE, 18(3 March). https://doi.org/10.1371/journal.pone.0276802
  33. Sun, H., Zhang, D., Wu, S.-Y., & Chen, L. (2022). A modified exchange algorithm for distributional robust optimization and applications in risk management. International Transactions in Operational Research, 29(1), 130–157. https://doi.org/10.1111/itor.12913
  34. Talapatra, S., Santos, G., & Gaine, A. (2022). FACTORS AFFECTING CUSTOMER SATISFACTION IN EATERY BUSINESS – AN EMPIRICAL STUDY FROM BANGLADESH. International Journal for Quality Research, 16(1), 163–176. https://doi.org/10.24874/IJQR16.01-11
  35. Tjiptono, F. (2017). Service Management, Mewujudkan Layanan Prima (3rd ed.). Andi.
  36. Van Vaerenbergh, Y., & Orsingher, C. (2016). Service Recovery: An Integrative Framework and Research Agenda. Academy of Management Perspectives, 30(3), 328–346. https://doi.org/10.5465/amp.2014.0143
  37. Vázquez-Casielles, R., Iglesias, V., & Varela-Neira, C. (2017). Co-creation and service recovery process communication: effects on satisfaction, repurchase intentions, and word of mouth. Service Business, 11(2), 321–343. https://doi.org/10.1007/s11628-016-0311-8
  38. Vicente, V. (2024, March 28). Operational Risk Management: Overview and Guide. . Https://Www.Auditboard.Com/Blog/Operational-Risk-Management/ .
  39. Yang, K., Zhao, R., & Lan, Y. (2016). Impacts of uncertain project duration and asymmetric risk sensitivity information in project management. International Transactions in Operational Research, 23(4), 749–774. https://doi.org/10.1111/itor.12156
  40. Yang, Z., Zhou, J., & Yang, H. (2023). The Impact of AI’s Response Method on Service Recovery Satisfaction in the Context of Service Failure. Sustainability (Switzerland), 15(4). https://doi.org/10.3390/su15043294
  41. Yin, Y., Zhou, Y., Rafailovich, M. H., -, al, Zhu, H., Grover Coors, W., Rulandari, N., Rusli, B., Mirna, R., Nurmantu, S., & Ikhsan Setiawan, M. (2018). Valuation of production sharing contract cost recovery vs gross split in earth oil and gas cooperation contracts in Indonesia and the aspect of public service. Iopscience.Iop.Org, 1114, 12132. https://doi.org/10.1088/1742-6596/1114/1/012132