Perceived Website Efficacy for Life Insurance Companies: Insights From a Best-Worst Method

Anupriya Kaur
{"title":"Perceived Website Efficacy for Life Insurance Companies: Insights From a Best-Worst Method","authors":"Anupriya Kaur","doi":"10.4018/ijitpm.313631","DOIUrl":null,"url":null,"abstract":"Given the proliferation of websites which act as digital channels for life insurance companies, a competitive situation has emerged with each vying for the web user's attention and patronage. Web efficacy is vital for creating an impressive online experience and gaining customer patronage. To facilitate the understanding of website managers on specific aspects which matter the most to customers, this study employs the best-worst method to evaluate the importance of various criteria employed by the web users to assess these digital options. Additionally, using four life insurance websites (LIC, SBI Life, HDFC Life Insurance, and Max Life Insurance) as alternatives, the study helps illustrate the competitive position of the websites based on key criteria: trust, visual appeal, innovativeness, information fit-to-task, tailored information, response time, intuitive operations, and relative advantage. The results of this study are easily interpretable and can provide key insights on the specific attributes in a comparative manner for website administrators and managers.","PeriodicalId":375999,"journal":{"name":"Int. J. Inf. Technol. Proj. Manag.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Inf. Technol. Proj. Manag.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijitpm.313631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Given the proliferation of websites which act as digital channels for life insurance companies, a competitive situation has emerged with each vying for the web user's attention and patronage. Web efficacy is vital for creating an impressive online experience and gaining customer patronage. To facilitate the understanding of website managers on specific aspects which matter the most to customers, this study employs the best-worst method to evaluate the importance of various criteria employed by the web users to assess these digital options. Additionally, using four life insurance websites (LIC, SBI Life, HDFC Life Insurance, and Max Life Insurance) as alternatives, the study helps illustrate the competitive position of the websites based on key criteria: trust, visual appeal, innovativeness, information fit-to-task, tailored information, response time, intuitive operations, and relative advantage. The results of this study are easily interpretable and can provide key insights on the specific attributes in a comparative manner for website administrators and managers.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人寿保险公司的网站效能感知:从最佳最差方法的见解
鉴于作为寿险公司数字渠道的网站的激增,竞争局面已经出现,每个网站都在争夺网络用户的关注和赞助。网络效能对于创造令人印象深刻的在线体验和获得客户惠顾至关重要。为了促进网站管理者对客户最重要的具体方面的理解,本研究采用最佳最差方法来评估网络用户评估这些数字选项所采用的各种标准的重要性。此外,本研究以四家寿险网站(LIC、SBI life、HDFC life insurance和Max life insurance)为研究对象,从信任度、视觉吸引力、创新性、资讯适合度、资讯定制、回应时间、操作直觉和相对优势等关键标准,说明这些网站的竞争地位。本研究的结果很容易解释,并且可以以比较的方式为网站管理员和管理者提供关于特定属性的关键见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Adapting P2M Framework for Innovation Program Management Through a Lean-Agile Approach Mining Project Failure Indicators From Big Data Using Machine Learning Mixed Methods A Proposal for Research on the Application of AI/ML in ITPM: Intelligent Project Management "Soar" or "Sore": Examining and Reflecting on Bank Performance During Global Financial Crisis - An Indian Scenario FDI Inflow in BRICS and G7: An Empirical Analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1