Data-Driven Personalization in the Sharing Economy

Author:

Talukder Mohammad Badruddoza1ORCID,Lina Farhana Yeasmin2ORCID,Kumar Sanjeev3ORCID,Khan Musfiqur Rahoman4

Affiliation:

1. International University of Business Agriculture and Technology, Bangladesh

2. Daffodil International University, Bangladesh

3. Lovely Professional University, India

4. Daffodil Institute of IT, Bangladesh

Abstract

The advent of big data has completely changed the sharing economy and allowed businesses to provide highly customized experiences for their clients. This study explores the relationship between big data analytics and the sharing economy, focusing on peer-to-peer companies like Uber, Airbnb, and others. Businesses can obtain profound insights into their customers' interests, behaviors, and trends by leveraging vast user data. The use of big data analytics enhances customer satisfaction and boosts engagement and loyalty by helping visitors feel more understood and valued. This customized approach provides a competitive advantage in the crowded sharing economy market and boosts good word-of-mouth and retention rates. Businesses must embrace transparent and responsible data practices to guarantee that consumer data is safeguarded and managed according to regulatory standards. This means obtaining users' permission, protecting privacy by anonymizing data, and keeping robust cybersecurity defenses against data breaches.

Publisher

IGI Global

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3