The Moderating Role of Risk Aversion on Adoption of IT and Mobile Platforms on P&C Insurance Demand

Abstract

This article studies the comparative efficiency of information communication technology (ICT)-enabled platforms in the property and casualty (P&C) domain by studying moderating role of risk aversion. This slow rate of ICT-enabled channel in property and casualty insurance (PCI) domain does not gain ample attention in the extant literature. The present article argues that the impact of ICT enabled platforms may have different outcomes on PCI consumption due to moderating role of risk aversion. In insurance literature, risk aversion is a critical factor. Therefore, the current study has empirically tested the direct and interaction (with risk aversion) effects of ICT and mobile platforms on PCI demand in developing countries. The current study has found that secondary education positively impacts adoption of mobile platforms whereas tertiary education positively impacts adoption overall ICT-enabled selling platforms. However, the uncertainty avoidance index adversely impacts both the selling channels in PCI domain.

Risk-taking and WOM as moderators in the relationship between status consumption, brand image and purchase intention of counterfeit brand shoes

“…The results also support that risk-taking moderated the relationship between brand image and purchase intention (Hypothesis 2a) and the multiplicative effect of WOM, risk-taking, and brand image (Hypothesis 2b), and these findings are in line with available empirical evidence about direct relationships (Li et al. , 2016; Tiwari et al. , 2019).…”

“…In addition, there is ample evidence from the literature that WOM (positive and negative feedback about products) reduces or increases the risk perceptions about the products that may influence purchase decisions (Murphy et al, 2007;Nguyen et al, 2021;Rajaobelina et al, 2021;Song et al, 2021). Thus, risk-taking consumer favors counterfeit products (Azemi et al, 2022), whereas the WOM may play a critical role in altering the moderating effect of risk-taking on consumer behavior (Ahmad, 2020;Allen et al, 2005;Li et al, 2016;Sicilia et al, 2016;Tiwari et al, 2019). Therefore, it would be interesting to examine the multiplicative effect of WOM and risktaking behavior in counterfeit brands, which remained under-researched areas in literature.…”

Health Insurance & Humanoid ROBOT-Agents: A case study

“…However, the high cost of health insurance remains a significant challenge that limits the effectiveness of these products for the public. Studies have identified market inefficiencies as the main cause of high health insurance costs, which stem from inadequate information exchange [5,2,7,9]. To capture the customer information, the products may be made or updated several times in response to changes in the risk profile of the insured.…”

“…Therefore, health insurers must ascertain how to deliver both value and quality. To do so, firms have been employing advance ITenabled solutions and employing them at various stages of the insurance value chain [6][7][8]. The level of technology integration is rising every year.…”

“…In light of these developments, we are interested in exploring the feasibility of humanoid insurance agents, which are physical robots designed to interact with customers in person. While there has been some discussion of this concept in the existing literature, little attention has been given to its potential application in the health insurance domain [5,9] The health insurance industry is a highly knowledgeintensive field, requiring agents to invest significant amounts of time and effort to gain a thorough understanding of the complex products they offer. These products involve the integration of information from three distinct fields: medicine, finance, and law, making it a challenging area to master.…”