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Consumer Reaction To The Use Of Artificial Intelligence Chatbot On Distribution Of General Insurance In Singapore, Lai Hing Tan
Consumer Reaction To The Use Of Artificial Intelligence Chatbot On Distribution Of General Insurance In Singapore, Lai Hing Tan
Dissertations and Theses Collection (Open Access)
As technology rapidly permeates all aspects of our lives, it is not unusual to question and even challenge the rationale on why certain industries are slower to adapt to the new digital age. Insurance is a business that is under scrutiny given its traditional ways of selling and legacy challenges. Why is technology investment in insurance companies lagging others? One emerging technological disruption is artificial intelligence (AI). It is the science of designing and building intelligent systems that can complete tasks traditionally performed by humans. AI is expected to fundamentally transform today’s marketplace, for businesses and consumers alike. However, because …
Revman: Revenue-Aware Multi-Task Online Insurance Recommendation, Yu Li, Yi Zhang, Lu Gan, Gengwei Hong, Zimu Zhou, Qiang Li
Revman: Revenue-Aware Multi-Task Online Insurance Recommendation, Yu Li, Yi Zhang, Lu Gan, Gengwei Hong, Zimu Zhou, Qiang Li
Research Collection School Of Computing and Information Systems
Online insurance is a new type of e-commerce with exponential growth. An effective recommendation model that maximizes the total revenue of insurance products listed in multiple customized sales scenarios is crucial for the success of online insurance business. Prior recommendation models are ineffective because they fail to characterize the complex relatedness of insurance products in multiple sales scenarios and maximize the overall conversion rate rather than the total revenue. Even worse, it is impractical to collect training data online for total revenue maximization due to the business logic of online insurance. We propose RevMan, a Revenue-aware Multi-task Network for online …
Do Disaster Experience And Knowledge Affect Insurance Take-Up Decisions?”, Jing Cai, Changcheng Song
Do Disaster Experience And Knowledge Affect Insurance Take-Up Decisions?”, Jing Cai, Changcheng Song
Research Collection Lee Kong Chian School Of Business
This study examines the effect of experience and knowledge on weather insurance adoption. First, we conduct insurance games with farmers, and find that the treatment improves real insurance take-up by 46%. The effect is not driven by changes in risk attitudes and perceived probability of disasters, or by learning of insurance benefits, but is driven by the experience acquired in the game. Second, we find that providing information about the payout probability has a strong positive effect on insurance take-up. Finally, when subjects receive both treatments, the probability information has a greater impact on take-up than does the disaster experience.
Buying Insurance The D-I-Y Way, Benedict Koh
Buying Insurance The D-I-Y Way, Benedict Koh
Research Collection Lee Kong Chian School Of Business
Singaporeans face two key risks in life: dying too young and living too long. The latter risk, commonly known as longevity risk, has been the key focus of the Central Provident Fund Advisory Panel's recent deliberation and recommendations. By saving the Basic Minimum Sum and purchasing a life annuity, Singaporeans can hedge the risk of outliving their lifetime savings.