Buying Insurance Online: Are we there yet?

Maheswari, V.; Chandrasekaran, Uma

doi:10.18843/ijcms/v9i2/04

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…However, these authors found an insignificant relationship between behavioral attention and service attributes. Based on TAM, Maheswari and Chandrasekaran [11] discovered that perceived benefits and technological attributes play a critical role in leading consumers to adopt online insurance.…”

Section: Antecedents Of Online Insurance Adoptionmentioning

confidence: 99%

Influencing factors of the extent, timing, and pattern of online insurance adoption

Nasrin,

Dahana

2022

IJECS

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This study investigates the influence of consumer traits, product attributes, marketing activities, and word of mouth (WOM) on three aspects of online insurance adoption: the number of products adopted, adoption timing, and adoption pattern. We empirically examine the relationships between these variables using data from 509 consumers collected through an online survey. The results from three statistical analyses suggest that consumers with low social needs, are price-conscious, and perceive fewer risks when buying on the Internet tend to purchase more online insurance products. Furthermore, products advertised on television and the Internet or perceived as having high premium variability are likely to have shorter adoption timing than other products. Moreover, the adoption of an insurance product appears contingent upon the type of insurance previously adopted and the attribute discrepancy between products. Finally, we discuss the managerial implications of our findings to increase the effectiveness of marketing efforts.

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Section: Antecedents Of Online Insurance Adoptionmentioning

confidence: 99%

Influencing factors of the extent, timing, and pattern of online insurance adoption

Nasrin,

Dahana

2022

IJECS

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“…However, e-insurance services have been reluctant to gain traction, with many customers mainly selecting traditional insurance services. This article explores the elements that influence Indian customers' acceptance of e-insurance (Maheswari, & Chandrasekaran, 2018). E-insurance services have arisen as a paradigm shift in the insurance sector, allowing users to buy and manage insurance plans online.…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting E-Insurance Acceptability by Indian Customers’: A Quantitative Investigation

Negi¹

2019

MSEA

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The current study intends to explore customers' opinions toward E-insurance as well as their comprehension of the concept. This research also aims to identify potential issues and roadblocks to the introduction of e-insurance. This article explores the elements that influence Indian customers' acceptance of e-insurance. The study took a quantitative approach, with data obtained using an online survey form. The information gathered was evaluated with statistical procedures such as descriptive statistics, regression analysis, and factor analysis. According to the study, several factors influence e-insurance acceptance, including perceived utility, perceived ease of use, trust, perceived risk, and demographic considerations. To boost e-insurance acceptance, e-insurance providers should focus on enhancing consumer trust and lowering perceived risk, according to the research. The researcher had considered people with different occupation and age group to know the factors that affect e-insurance acceptability by Indian customers and found that perceived usefulness, perceived ease of use, protection & confidentiality, trust, degree of service provided by e-insurance companies and perceived control different factors that affect e-insurance acceptability by Indian customers.

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Exploring the impact of InsurTech adoption in Indian life insurance industry: a customer satisfaction perspective

Kaur,

Singh

2023

TQM

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PurposeIn the era of Industrial Revolution (IR) 4.0, the integration of digital technologies, automation and data-driven insights has generated a broad wave of transformation across all industries, including the insurance sector. The study focuses on determining how the adoption of these technologies (InsurTech) is changing the life insurance industry, ultimately enhancing the level of customer satisfaction.Design/methodology/approachThe data analysis has been performed with 304 useable responses from the policyholders of life insurance in the north-west region of India. The methodology adopted for this study is partial least squares (PLS) structural equation modeling (SEM). To investigate the predictive relevance of customer satisfaction, the PLS predict technique has been used. Also, importance performance map analysis (IPMA) has been applied to assess the important and performing dimensions of customer satisfaction.FindingsThe outcomes show that the adoption of InsurTech has a positive impact on customer satisfaction. Customer service management and policy management are among the strongest predictors of customer satisfaction, and the predictive relevance is reported to be moderate. IPMA results have suggested that improvements in online distribution of insurance services and customer service management lead to higher customer satisfaction.Research limitations/implicationsThe conceptual model can be tested with the moderating effect of different demographic factors (age, gender etc.), and future research can be done to analyze the mediating role of customer satisfaction between InsurTech adoption and customer loyalty.Practical implicationsThe study offers valuable contributions to the marketing literature, shedding light on the influence of InsurTech adoption on customer satisfaction within the Indian life insurance sector. The research offers a practical approach that could help marketing professionals and policymakers comprehend the utilization of online insurance services, and this understanding can help industry experts to develop customer-oriented products and services.Originality/valueThis research is the first of its kind to test the association between InsurTech adoption and customer satisfaction in the life insurance sector in the Indian context. Research also provides novel insights for policymakers to enhance the satisfaction of customers towards using online insurance services in the near future in developing countries like India.

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Buying Insurance Online: Are we there yet?

Cited by 4 publications

References 17 publications

Influencing factors of the extent, timing, and pattern of online insurance adoption

Influencing factors of the extent, timing, and pattern of online insurance adoption

Factors Affecting E-Insurance Acceptability by Indian Customers’: A Quantitative Investigation

Exploring the impact of InsurTech adoption in Indian life insurance industry: a customer satisfaction perspective

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