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E-commerce tendencies are having important effects on the financial industry. The distribution of financial services is being changed radically by the Information and Communications Technology. The current Generation Y is “living in the virtual world”; firms will not be able to make money if they cannot reach this generation in the coming few years (Cambrill, 2010). Thus, for the insurance industry, it is no longer a fashion trend of figuring out how to communicate using the Internet, but it is a matter of evolutionary business survival (Cambrill, 2010). Insurance companies all over the world are in progress to move rapidly their services to be electronically delivered.
It is recognized that e-insurance is a missing well-heeled industry. While other industries within the financial services, particularly banking, have taken advantage of the Internet to gain market share and generate revenues, the insurance industry has been slow to use e-commerce to boost e-insurance. The current reality is that several insurance companies do not provide any real online value and that a small sales amount is actually being spent online. In a recent study, while about half of customers use the Internet to request a quote, only 25 percent of them purchase the policy through the insurer website, 50 percent close their deal by speaking directly to an agent, and 22 percent go through a call center (Murray, 2017). So, though companies are trying to gain online activities, few actually exhibit an e-insurance strategy.
To reduce reluctance to adopt e-insurance, insurers should manage inhibiting factors such as the lack of appropriate infrastructure, customers’ awareness, and security solutions. Further essential conditions to enhance the e-insurance use is to improve the usability by making services more clear, informative and user-friendly, and to deliver a customer’s compelling, gratifying, and stimulating experience that enhances the company’s website ability to retain online customers and building loyalty.
In spite of the increasing number of insurance companies planning to implement e-insurance, little is currently known about the configuration of factors influencing customers to adopt e-insurance. Compared to e-banking, insurers were late to implement e-insurance activities. Therefore, there are a few published e-insurance works. Moreover, these studies are fragmented and context-specific (depending on countries). E-insurance adoption is still an emerging issue of research and results duplication and generalization are further needed. This research attempts to contribute to this area by focusing on the utilitarian and hedonic benefits that consumers might embrace from the online experience.
Therefore, the objective of this research is to analyze the role of utilitarian and hedonic benefits in achieving a positive attitude toward e-insurance and to examine if this attitude enhances the behavioral intention to use e-insurance. This research also assesses the moderating effects of gender. The results of this study will provide a better understanding of the consumer acceptance of e-insurance. Moreover, the results of this research can help e-insurance managers develop tactics that engage users and enhance the total online experience quality. Outcomes might consist of achieving important goals such as getting insurance consumers more engaged to use e-insurance services and finding ways to improve customer marketing relationships and loyalty.
In addition to its managerial implications, this work is an attempt to go beyond the problem of adopting e-insurance by investigating consumer perception and responses to these services. Our conceptual model examines theoretical relationships rarely tested or merely assumed in previous research. This research also provides insight into the moderating role of gender in the e-insurance benefits-attitude-behavior.
In this paper, we begin by describing the e-insurance adoption, utilitarian and hedonic benefits of using e-insurance, attitude to e-insurance, and behavioral intention to use e-insurance. Next, we present our research model and provide supporting literature to specify a range of testable hypotheses involving the relationship of the model constructs. We present the methodology, discuss the results and provide theoretical and managerial implications. Finally, we conclude with a description of the research limitations and suggestions for future research.