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Examining the Validity and Impact of Customer Reviews on Purchase Decision.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Examining the Validity and Impact of Customer Reviews on Purchase Decision.
作者:	Thapaliya, Rajan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, 2022
面頁冊數:	101 p.
附註:	Source: Dissertations Abstracts International, Volume: 84-06, Section: B.
附註:	Advisor: Osayamwen, Efosa.
Contained By:	Dissertations Abstracts International84-06B.
標題:	Information technology.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29399099
ISBN:	9798358401525

Examining the Validity and Impact of Customer Reviews on Purchase Decision.
Thapaliya, Rajan.

Examining the Validity and Impact of Customer Reviews on Purchase Decision. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 101 p.

Source: Dissertations Abstracts International, Volume: 84-06, Section: B.

Thesis (Ph.D.)--Northcentral University, 2022.

This item must not be sold to any third party vendors.

The data world is advancing so fast that new approaches to solving real-life problems must be devised. In decision-making, there is a need to identify the causal-effect relationships of different variables. As such, the problem being addressed in this study is the influence of customer reviews data in purchasing decisions of future customers through the help of big data. Global companies have faced challenges on whether customer reviews are significant in making their purchase decisions. With the current rise of big data, many organizations have been trying to employ data scientist, analytics, and statistical-based evaluations to determine the significance of customer reviews on purchasing decisions. Identifying this problem will ensure business organizations and customers can benefit from fast decision-making processes, especially for content marketing strategies. The purpose is to examine the efficiency of big data in the use of customer reviews for predicting the purchase decisions of organizations. For this research, the intersections of technology, big data analytics, global customer trends, social media reviews, online trends, and available customer reviews will be the framework for identifying the proper path to problem-solving. A quantitative correlation research design was utilized to determine the relationship between the chosen variables with Amazon TVs’ customer reviews dataset as the target population. The dependent variable will be those related to purchase intentions or simply the outcome of the research while the independent variable will relate to the validity and impact of customer reviews, that is the variables used to predict the outcome. Data analysis was done in Tableau and R Studio. The research concluded that big data mining aids the customers to carry out comprehensive information searches on target commodities, devise enhanced rational conception, and make sound purchasing decisions. The main recommendation that can be deduced explicitly in this research is the need to extensively explore the use of big data in making purchase decisions in all companies. In this research, the researcher provided the basis for advancing the use of big data in making purchase decisions.

ISBN: 9798358401525Subjects--Topical Terms:

184390
Information technology.
Subjects--Index Terms:

Big data

Examining the Validity and Impact of Customer Reviews on Purchase Decision.
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