Characteristics of Internet Customer Review and Potential Customers

碩士 === 國立中山大學 === 企業管理學系研究所 === 96 === Along with increasing users and contents, the Internet has gradually become the main channel for customers to acquire information of products and services. Yet the development of the Internet has brought about information overload problems. When facing oversize...

Full description

Bibliographic Details
Main Authors: Ya-lin Yang, 楊亞霖
Other Authors: Jacob Y. H., Jou
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/4czdkh
id ndltd-TW-096NSYS5121064
record_format oai_dc
spelling ndltd-TW-096NSYS51210642018-05-11T04:19:25Z http://ndltd.ncl.edu.tw/handle/4czdkh Characteristics of Internet Customer Review and Potential Customers 探索網路顧客評價特性對潛在顧客之影響 Ya-lin Yang 楊亞霖 碩士 國立中山大學 企業管理學系研究所 96 Along with increasing users and contents, the Internet has gradually become the main channel for customers to acquire information of products and services. Yet the development of the Internet has brought about information overload problems. When facing oversized information, consumers tend to solicit for others’ help. Under such circumstance, reviewing systems and forums on the Internet are flourishing. With the popularization of Internet technologies, these Internet customer review systems have gradually become critical necessary information when consumers are making purchase decisions. This research took two experiments as the methodology used in examining the relation between Internet customer reviews and customers, tourism was selected as the condition of experiment. The first experiment discussed about general Internet customer reviews, including the dispersion of reviews, reviewing scores, number of reviewers and so on and examined the relation between different levels and customers’ trust in the reviews. The second experiment examined the relation between personal risk attitude, perceived risk and customers’ level of trust and willingness of purchase. Outcomes indicate that: 1.The lower dispersion of reviews, the higher the level of customers’ trust in the reviews. 2.The higher review scores, the higher the level of customers’ trust in the reviews. 3.The more reviewers, the higher the level of customers’ trust in the reviews. 4.Dispersion of reviews, review scores and number of reviewers possess reciprocation relations with customers’ trust in the reviews, and the level of influence is score > dispersion > number of reviewers. 5.Personal risk attitude and perceived risk play roles in explaining consumers’ trust in reviews and willingness of purchase. Jacob Y. H., Jou 周逸衡 2008 學位論文 ; thesis 101 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中山大學 === 企業管理學系研究所 === 96 === Along with increasing users and contents, the Internet has gradually become the main channel for customers to acquire information of products and services. Yet the development of the Internet has brought about information overload problems. When facing oversized information, consumers tend to solicit for others’ help. Under such circumstance, reviewing systems and forums on the Internet are flourishing. With the popularization of Internet technologies, these Internet customer review systems have gradually become critical necessary information when consumers are making purchase decisions. This research took two experiments as the methodology used in examining the relation between Internet customer reviews and customers, tourism was selected as the condition of experiment. The first experiment discussed about general Internet customer reviews, including the dispersion of reviews, reviewing scores, number of reviewers and so on and examined the relation between different levels and customers’ trust in the reviews. The second experiment examined the relation between personal risk attitude, perceived risk and customers’ level of trust and willingness of purchase. Outcomes indicate that: 1.The lower dispersion of reviews, the higher the level of customers’ trust in the reviews. 2.The higher review scores, the higher the level of customers’ trust in the reviews. 3.The more reviewers, the higher the level of customers’ trust in the reviews. 4.Dispersion of reviews, review scores and number of reviewers possess reciprocation relations with customers’ trust in the reviews, and the level of influence is score > dispersion > number of reviewers. 5.Personal risk attitude and perceived risk play roles in explaining consumers’ trust in reviews and willingness of purchase.
author2 Jacob Y. H., Jou
author_facet Jacob Y. H., Jou
Ya-lin Yang
楊亞霖
author Ya-lin Yang
楊亞霖
spellingShingle Ya-lin Yang
楊亞霖
Characteristics of Internet Customer Review and Potential Customers
author_sort Ya-lin Yang
title Characteristics of Internet Customer Review and Potential Customers
title_short Characteristics of Internet Customer Review and Potential Customers
title_full Characteristics of Internet Customer Review and Potential Customers
title_fullStr Characteristics of Internet Customer Review and Potential Customers
title_full_unstemmed Characteristics of Internet Customer Review and Potential Customers
title_sort characteristics of internet customer review and potential customers
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/4czdkh
work_keys_str_mv AT yalinyang characteristicsofinternetcustomerreviewandpotentialcustomers
AT yángyàlín characteristicsofinternetcustomerreviewandpotentialcustomers
AT yalinyang tànsuǒwǎnglùgùkèpíngjiàtèxìngduìqiánzàigùkèzhīyǐngxiǎng
AT yángyàlín tànsuǒwǎnglùgùkèpíngjiàtèxìngduìqiánzàigùkèzhīyǐngxiǎng
_version_ 1718635620100734976