0% Complete
English
صفحه اصلی
/
پانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Improving Long-Term Engagement of Insurance Brokerages by Providing Gamified Configurations Based on The Delphi Method
نویسندگان :
Hosein Bayati
1
Fattaneh Taghiyareh
2
Sahand Hashemi
3
1- دانشگاه تهران
2- دانشگاه تهران
3- دانشگاه تهران
کلمات کلیدی :
Gamification،Insurance،Insurance Brokerages،Delphi Method،Customer Engagement،Personalized Configurations
چکیده :
Abstract— In the competitive landscape of the insurance industry, maintaining long-term engagement with both clients and internal stakeholders is crucial for the success of insurance brokerages. Gamification, the application of game-design elements in non-game contexts, has emerged as an effective strategy to enhance engagement. However, for gamification to be truly effective, it must be personalized and aligned with the specific business needs of the brokerages. This study aims to develop and implement gamified configurations tailored to the unique needs of insurance brokerages. By leveraging the Delphi method, the research seeks to create a set of configurations directly aligned with brokers' most critical needs, enhancing engagement and fulfilling business objectives. A comprehensive survey was conducted among insurance brokers, focusing on four main areas: identifying the brokerages' core needs, scoring and ranking these needs, evaluating technology-oriented tools and methods, and ranking these methods based on their relevance to gamification. The Delphi method was then employed to refine and prioritize the collected data, developing tailored gamified configurations. This study resulted in a set of rewards and actions that were prepared based on the needs of brokers. They were then mapped to the most appropriate gamifiers based on the statistical correspondences extracted from a panel of experts. Lastly, we prepared a prioritized list of the best gamifierreward and gamifier-action matches that can be used in our gamification platform, which will result in significantly optimized usage of our resources. The research demonstrates that personalized, business-oriented gamification can significantly improve long-term engagement in the insurance brokerage industry. By focusing on the most critical needs of brokers and employing the Delphi method to refine these insights, the study offers a robust set of configurations that brokerages can implement to achieve sustained engagement and meet their business objectives.
لیست مقالات
لیست مقالات بایگانی شده
حفظ حریم خصوصی در انتشار نسخه های متوالی دادههای شبکه اجتماعی با امکان افزایش یال
طاهره سرزهی - دکتر مهری رجایی طاهره سرزهی - مهری رجایی -
Knowledge Graph Based Retrieval-Augmented Generation for Multi-Hop Question Answering Enhancement
Mahdi Amiri Shavaki - Pouria Omrani - Ramin Toosi - Mohammad Ali Akhaee
AI-based Secure Intrusion Detection Framework for Digital Twin-enabled Critical Infrastructure
Tanisha Patel - Nilesh Kumar Jadav - Tejal Rathod - Sudeep Tanwar - Deepak Garg - Hossein Shahinzadeh
بکارگیری الگوریتم بهینه سازی فاخته و منطق فازی به منظور بهبود زمانبندی وظایف در محیط محاسبات مه
فاطمه دوامی - حمید جلیلوند - فاطمه نجفی
Improving hypergraph attention and hypergraph convolution networks
Mustafa Mohammadi Gharasuie - Mahmood Shabankhah - Ali Kamandi
PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph
Romina Etezadi - Mehrnoush Shamsfard
مدل یادگیری ماشین برای تشخیص تقلب در کارتهای اعتباری با رویکرد بهینهسازی AUC و تنظیم خودکار ابرپارامترها
محمد مهدی متولی
Enhancing Supervised Learning in Speech Emotion Recognition through Unsupervised Representations
Niloufar Faridani - Amirali Soltani Tehrani - Ramin Toosi
Revert Propagation: Who are responsible for a contagion initialization in a Diffusion Network?
Arman Sepehr - Mohammadzaman Zamani - Hamid Beigy - Shabnam Behzad
تشخیص بیماری مزمن کلیوی با استفاده از یادگیرندههای گروهی و انتخاب ویژگیهای مؤثر مبتنی بر الگوریتم بهینهسازی تبادل حرارتی
صبا عارفنیا - مهدی هاشمزاده - امین گلزاری اسکوئی
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.8.0