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
ISAAF: بهبود چارچوب مجوز خودتطبیق SAAF با استفاده از پیادهسازی مبتنی بر عامل و مفهوم I-Shairing
الهام معین الدینی - دکتر منیره عبدوس - دکتر اسلام ناظمی
A Novel Service Deployment Policy in Fog Computing Considering The Degree of Availability and Fog Landscape Utilization Using Multiobjective Evolutionary Algorithms
Maryam Eslami - Dr Mehdi Sakhaei-nia
پیش بینی ارتباط میزان مرگ و میر با هم زمانی وجود دو بیماری در مبتلایان به کرونا به کمک بگارگیری شبکه عصبی Word2Vec
سمن مثقالی - دکتر جواد عسکری سمن مثقالی - جواد عسکری -
An integrated approach for estimating software cost estimation using Adaptive Neuro-Fuzzy Inference System and the Grey Wolf Optimization algorithm
Maryam Karimi - Taghi Javdani Gandomani - Mahdi Mosleh
Ensemble Model Based on an Improved Convolutional Neural Network with a Domain-agnostic Data Augmentation Technique
Faraz Fatahnaie - Armin Azhdehnia - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti
A No-Code Platform for Developing Customizable Recommender Systems for Restaurants
Moein-Aldin AliHosseini - MohammadReza Sharbaf
Establishing security using cryptography and biometric authentication to counter cyber-attacks
Mohammed ADIL AKABR - Mehdi Hamidkhani - Mostafa Sadeghi
Movable Antenna Design for UAV-Aided Federated Learning via Deep Reinforcement Learning
MOHSEN Ahmadzadeh - Saeid Pakravan - Ghosheh Abed Hodtani
A Hybrid Method to Reduce the Voltage Consumption in the Spiking Neural Networks
Shaghayegh Mehdizadeh saraj - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti
A Mathematical Optimization Approach for Preference Learning in Movie Recommender Systems with Shared Accounts
Milad Khademali - Fazlollah Aghamohammadi - Marjan Kaedi - Alireza Nasiri
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.3