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2022 ◽  
Vol 6 (GROUP) ◽  
pp. 1-22
Damaris Schmid ◽  
Dario Staehelin ◽  
Andreas Bucher ◽  
Mateusz Dolata ◽  
Gerhard Schwabe

Conversational agents (CA) have drawn increasing interest from HCI research. They have become popular in different aspects of our lives, for example, in the form of chatbots as the primary point of contact when interacting with an insurance company online. Additionally, CA find their way into collaborative settings in education, at work, or financial advisory. Researchers and practitioners are searching for ways to enhance the customer's experience in service encounters by deploying CA. Since competence is an important treat of a financial advisor, they only accept CA in their interaction with clients if it does not harm their impression on the client. However, we do not know how the social presence of the CA affects this perceived competence. We explore this by evaluating three prototypes with different social presences. For this, we conducted a video-based online survey. In contrast to prior studies focusing on single human-computer interaction, our study explores CA in a dyadic setting of two humans and one CA. First, our results support the Computers-Are-Social-Actors paradigm as the CA with a strong social presence was perceived as more competent than the other two designs. Second, our data show a positive correlation between CA's and advisor's competence. This implies a positive impact of the CA on the service encounter as the CA and advisor can be seen as a competent team.

Eye ◽  
2022 ◽  
Grant A. Justin ◽  
Fasika A. Woreta ◽  
Marcus H. Colyer ◽  
James D. Auran ◽  
Ron W. Pelton ◽  

2022 ◽  
pp. 1-24
Pengcheng Zhang ◽  
David Pitt ◽  
Xueyuan Wu

Abstract The fact that a large proportion of insurance policyholders make no claims during a one-year period highlights the importance of zero-inflated count models when analyzing the frequency of insurance claims. There is a vast literature focused on the univariate case of zero-inflated count models, while work in the area of multivariate models is considerably less advanced. Given that insurance companies write multiple lines of insurance business, where the claim counts on these lines of business are often correlated, there is a strong incentive to analyze multivariate claim count models. Motivated by the idea of Liu and Tian (Computational Statistics and Data Analysis, 83, 200–222; 2015), we develop a multivariate zero-inflated hurdle model to describe multivariate count data with extra zeros. This generalization offers more flexibility in modeling the behavior of individual claim counts while also incorporating a correlation structure between claim counts for different lines of insurance business. We develop an application of the expectation–maximization (EM) algorithm to enable the statistical inference necessary to estimate the parameters associated with our model. Our model is then applied to an automobile insurance portfolio from a major insurance company in Spain. We demonstrate that the model performance for the multivariate zero-inflated hurdle model is superior when compared to several alternatives.

2022 ◽  
Vol 13 (1) ◽  
pp. 60
Wiwin Wintarsih Windiantina ◽  
Eman Suparman ◽  
Isis Ikhwansyah ◽  
Nyulistiowati Suryanti

This study aims to explain descriptively about the implementation of ex-gratia claims on life insurance agreements, how to pay and settle ex-gratia claims and ex-gratia claim terms. In the Life Insurance agreement, the insured party when experiencing an unexpected risk of obtaining its rights in the settlement of claims. The occurrence of rejection of claims on life insurance, becomes the cause of a lack of understanding of the actual articles and regulations must be understood before deciding to use insurance. In fact, not all losses suffered by the insured in the insurance agreement can be paid according to the agreement. It is caused by several factors that are considered to violate the principles of insurance and regulations that have been determined in the insurance agreement, resulting in the cancellation of the insurer pays its obligations to the insured or commonly called rejected claims. But customers sometimes still demand that the company pay, therefore the insurance company takes the initiative to pay claims rejected through Ex-gratia. But many people do not know about the ex-gratia claim.  Some insurers take the initiative to pay ex-gratia rejected claims. Implementation of ex gratia claims can be done by negotiation, good faith from the insurer to the insured.   Received: 15 October 2021 / Accepted: 30 November 2021 / Published: 5 January 2022

2022 ◽  
Vol 21 (1) ◽  
pp. 25-33
Al Tasya Fitrah ◽  
Nuri Aslami

Insurance is one of the references to meet the needs and feelings of security in the face of uncertainties that may arise in people's lives and the risks that will be experienced by the company.  Insurance is one of the financial facilities (financial) of domestic life, both in the face of the risk of death and in the face of property risk. In this case, the position of the insurance agent of an insurance company is very strategic, because through this agent the company can market or sell its products to prospective consumers. Agents are also very valuable business assets. An insurance agent is a person who works alone or works in a commercial organization, represents and acts on behalf of an insurance company or sharia insurance company, who is qualified to represent the company. One of the successes of Sharia insurance companies is in the field of marketing. In addition, the agent also plays a role in carrying out activities for the community by introducing financial plans and risk management in insurance and agents also play a role in selecting risk to the customer. customer, assess and measure the extent to which risks that may arise, and determine the best approach to deal with specified risk. Marketing in Islamic insurance requires the ability to recruit, encourage, develop and sell privately (direct communication between sellers and prospective customers and arousing customer interest in the product until the customer is interested in buying the product). Keywords: Insurance, Agent, Marketing Capabilitie, Insurance Customer.

2022 ◽  
Vol 6 ◽  
Selvi Harvia Santri ◽  
Yaswirman Yaswirman ◽  
Kurnia Warman ◽  
Wetria Fauzi

The problem of this research is how to regulate investment-based life insurance in Indonesia and the liability of investment-based life insurance companies against the risk of default by policyholders. This study uses a research method that has an empirical juridical type. The study results explain that the regulation of investment-based life insurance in Indonesia is regulated in Law Number 40 of 2014 concerning Business Per Insurance, OJK Regulation Number 23/POJK.05/2015 concerning Insurance Products and Marketing and Decree of the Chairman of BPPM and Financial Institutions Number KEP-104/ BL/2006 concerning Investment-based life insurance products. PP Number 87 of 2019 concerning insurance companies in the form of joint ventures, RI's Financial Decree Number 422/KMK.06/2003 and Director General of Financial Institutions Decree Number 2475/LK concerning investment insurance products and forms of liability of default insurance companies must fulfill the contents of the agreement insurance that gives rise to the rights and obligations of the insured reciprocally. However, Law Number 40 of 2014 concerning Insurance Business does not fully regulate violations in the insurance business and does not regulate how the insurance company is responsible for the company's inability to fulfill insurance claims.

2022 ◽  
Vol 21 (1) ◽  
pp. 43-52
Indah Ussania ◽  
Nuri Aslami

Product distribution is one of the marketing process's activities. Many product manufacturers do not sell to end users directly. This is due to the fact that cost distribution is typically the primary reason corporations do not sell items to end customers. The marketing channel is in charge of getting the product from the manufacturer (the insurance company) to the consumer/customer. This can overcome the owner of a product or service's isolation from the people who require it in terms of time, location, and property. This marketing channel, in reality, necessitates product marketing channel management in compliance with OJK standards. In addition, any rivalry that emerges in the marketing channel while selling insurance goods. As a result, the goal of this article is to go into detail about the marketing channels for insurance products in public marketing. Keywords: Marketing Channels, Distribution, Insurance

Preet Jayendrakumar Modi

Abstract: Insurance Management with Premium Prediction system is a web application which is developed for tracking the details of the insurance policy, customer details and company details. This web site is an online insurance Analysis and information management system that provides easy access to information regarding the people and resources of insurance. Users can view their own personal details when login into the Policy Holder module. This project is useful for any kind of insurance company to manage the insurance details, to sanction the insurance for customers, process the insurance policy details and all kinds of insurance processes online. The Insurance management system is a complete solution for organizations, which need to manage insurance for their vehicles, equipment, buildings, and other resources. This insurance management website has facilities like search tools for insurance awareness articles, guidelines, illustrations through images for visitors. This insurance management system can efficiently manage the company, records, provides instant access and one that improves productivity. In this online process the user enters into the website it will show details about insurance and its types, also it will show the details about different duration schemes to the corresponding insurance type or insurance policy. The main objective of the developed system is to allow admin users to register insured persons with their name, date of birth, residence address, medical history and also policy details.

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