Sylvia Samuel
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Service Failure and Recovery: The Best Defense Is a Good Attack Dewi Wuisan; Hendra Achmadi; Oscar Jayanagara; Sylvia Samuel; Gracia Shinta S. Ugut
Proceedings of the International Conference on Entrepreneurship (IConEnt) Vol. 5 (2025): Proceedings of the 5th International Conference on Entrepreneurship (IConEnt)
Publisher : Universitas Pelita Harapan

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Service failure is an inevitable aspect of any service-oriented business. When failures occur, the organization’s response is critical in shaping customer perceptions, satisfaction, and loyalty. This paper explores the notion that "the best defense is a good attack" in the context of service failure and recovery strategies. Proactive recovery initiatives, such as clear communication, swift actions, and personalized solutions, often outperform reactive or passive approaches in mitigating the negative effects of service failures. By employing a strategic recovery process, businesses not only address the immediate dissatisfaction but also create opportunities to strengthen customer relationships and even enhance brand reputation. The study examines key components of successful service recovery, including the role of empathy, transparency, and empowerment of frontline employees. It highlights the importance of preemptive measures such as employee training and the establishment of service recovery protocols. Furthermore, this paper discusses the psychological impact of recovery efforts on customers, emphasizing the significance of perceived justice—distributive, procedural, and interactional. Drawing from real-world examples and empirical studies, this research provides actionable insights for managers aiming to transform service failures into opportunities for improvement and differentiation. By adopting a mindset of proactive engagement, businesses can turn potentially negative experiences into moments that foster customer trust and loyalty. Ultimately, the findings suggest that an offensive approach in service recovery is not merely damage control but a strategic advantage in the competitive service landscape.
Characteristics of Customer Who Makes Allocation for Pension Plan in Indonesia Hendra Achmadi; Isana Sri Christina Meranga; Sylvia Samuel
Proceedings of the International Conference on Entrepreneurship (IConEnt) Vol. 5 (2025): Proceedings of the 5th International Conference on Entrepreneurship (IConEnt)
Publisher : Universitas Pelita Harapan

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This study sought to determine which characteristic from Indonesian people are most likely to make allocation for pension, and how to identify the key factors driving these purchases pension products. Recognizing Indonesia's relatively low allocation in pension plan, researchers analyzed a targeted sample of 199 data points from 38 companies across various sectors. Using the CRISP-DM data mining methodology, to determine what characteristics from customer with over 20 % allocation into the pension product, and in this study found that marriage status, income, industry, education, sex, domicile, electricity, position, age, status of property. The CRISP-DM process, which included defining objectives, data collection, preparation, modeling, and property ownership, as a characteristic of customer to invest in pension. This research uses data mining methodology with resulted in a model with 73.33 % accuracy. 1 The analysis revealed that the result demonstrated the highest stock market allocation by customers is based on industry (0,2), Listrik (0,13), Makan (0,12), transport (0,11), Pendidikan (0,10), income (0,06).