Product type and word of mouth: a dyadic perspective
Purpose - Strong evidence suggests that word-of-mouth (WOM) communication varies in its influence according to product type; however, empirical research remains deficient. The purpose of this paper is to propose a procedural model to examine the influence of product type on both the effect and sprea...
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Veröffentlicht in: | Journal of research in interactive marketing 2011-01, Vol.5 (2/3), p.189-202 |
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creator | Fang, Cheng-Hsi Lin, Tom M.Y Liu, Fangyi Hsiang Lin, Yu |
description | Purpose - Strong evidence suggests that word-of-mouth (WOM) communication varies in its influence according to product type; however, empirical research remains deficient. The purpose of this paper is to propose a procedural model to examine the influence of product type on both the effect and spread of related WOM information at the same time.Design methodology approach - Using a self-administered questionnaire, a sample of 895 consumers across 16 different products was collected; results were analyzed using structural equation modeling.Findings - WOM was found to be more influential and more widely spread for services than for goods. In addition, although the level of receivers' perceived risk (PR) is generally assumed to be a significant antecedent of WOM influence (WI), the results of the study indicate that PR is not a direct function of WI. Instead, WOM request (WR) mediates the effect of PR on WI.Originality value - To the authors' knowledge, this is the first study to examine the relationship between product type and WOM from a dyadic perspective. Moreover, the authors introduced two important mediators - namely, PR and WR - in the model in order to identify different potential effects of WOM in a seeker-initiated context. The results of this study will enhance knowledge about the influences of WOM information. |
doi_str_mv | 10.1108/17505931111187802 |
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The purpose of this paper is to propose a procedural model to examine the influence of product type on both the effect and spread of related WOM information at the same time.Design methodology approach - Using a self-administered questionnaire, a sample of 895 consumers across 16 different products was collected; results were analyzed using structural equation modeling.Findings - WOM was found to be more influential and more widely spread for services than for goods. In addition, although the level of receivers' perceived risk (PR) is generally assumed to be a significant antecedent of WOM influence (WI), the results of the study indicate that PR is not a direct function of WI. Instead, WOM request (WR) mediates the effect of PR on WI.Originality value - To the authors' knowledge, this is the first study to examine the relationship between product type and WOM from a dyadic perspective. Moreover, the authors introduced two important mediators - namely, PR and WR - in the model in order to identify different potential effects of WOM in a seeker-initiated context. 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The purpose of this paper is to propose a procedural model to examine the influence of product type on both the effect and spread of related WOM information at the same time.Design methodology approach - Using a self-administered questionnaire, a sample of 895 consumers across 16 different products was collected; results were analyzed using structural equation modeling.Findings - WOM was found to be more influential and more widely spread for services than for goods. In addition, although the level of receivers' perceived risk (PR) is generally assumed to be a significant antecedent of WOM influence (WI), the results of the study indicate that PR is not a direct function of WI. Instead, WOM request (WR) mediates the effect of PR on WI.Originality value - To the authors' knowledge, this is the first study to examine the relationship between product type and WOM from a dyadic perspective. Moreover, the authors introduced two important mediators - namely, PR and WR - in the model in order to identify different potential effects of WOM in a seeker-initiated context. The results of this study will enhance knowledge about the influences of WOM information.</description><subject>Behavior</subject><subject>Classification</subject><subject>Communication</subject><subject>Consumers</subject><subject>Customer services</subject><subject>Dyadics</subject><subject>Influence</subject><subject>Interactive</subject><subject>Marketing</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Receivers</subject><subject>Spreads</subject><subject>Structural equation modeling</subject><subject>Studies</subject><subject>Word of mouth advertising</subject><issn>2040-7122</issn><issn>2040-7130</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kM1LxDAQxYMouKz7B3gLXrxYnWTapvEmi1-woAc9h5gP7NJuatIq-9_bZUVhZd9l5vB7b4ZHyCmDS8agumKigEIi26gSFfADMuGQQyYYwuHvzvkxmaW0hFGIDISckPw5BjuYnvbrzlG9svQrREuDp20Y-vdrqqlda1sb2rmYOmf6-tOdkCOvm-RmP3NKXu9uX-YP2eLp_nF-s8hMzrDPSmElF4UwuTECCu8M5m9MCA4WfSlLWQg0KKUrhRTWeyYdFlhpRGkZKxhOyfk2t4vhY3CpV22djGsavXJhSEqWKDlUEkfybIdchiGuxueUBJBMcLGJY1vIxJBSdF51sW51XCsGalOk-lfk6LnYelzrom7sn2UXVZ31Iw578L0XvgHdkn1k</recordid><startdate>20110101</startdate><enddate>20110101</enddate><creator>Fang, Cheng-Hsi</creator><creator>Lin, Tom M.Y</creator><creator>Liu, Fangyi</creator><creator>Hsiang Lin, Yu</creator><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7TA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8FD</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F~G</scope><scope>JG9</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>20110101</creationdate><title>Product type and word of mouth: a dyadic perspective</title><author>Fang, Cheng-Hsi ; Lin, Tom M.Y ; Liu, Fangyi ; Hsiang Lin, Yu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c413t-67d92757c4cc705fec34b17720d3f6969573c399e6797dff19e3538a339d11513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Behavior</topic><topic>Classification</topic><topic>Communication</topic><topic>Consumers</topic><topic>Customer services</topic><topic>Dyadics</topic><topic>Influence</topic><topic>Interactive</topic><topic>Marketing</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Receivers</topic><topic>Spreads</topic><topic>Structural equation modeling</topic><topic>Studies</topic><topic>Word of mouth advertising</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fang, Cheng-Hsi</creatorcontrib><creatorcontrib>Lin, Tom M.Y</creatorcontrib><creatorcontrib>Liu, Fangyi</creatorcontrib><creatorcontrib>Hsiang Lin, Yu</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Materials Business File</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Materials Research Database</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of research in interactive marketing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fang, Cheng-Hsi</au><au>Lin, Tom M.Y</au><au>Liu, Fangyi</au><au>Hsiang Lin, Yu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Product type and word of mouth: a dyadic perspective</atitle><jtitle>Journal of research in interactive marketing</jtitle><date>2011-01-01</date><risdate>2011</risdate><volume>5</volume><issue>2/3</issue><spage>189</spage><epage>202</epage><pages>189-202</pages><issn>2040-7122</issn><eissn>2040-7130</eissn><abstract>Purpose - Strong evidence suggests that word-of-mouth (WOM) communication varies in its influence according to product type; however, empirical research remains deficient. The purpose of this paper is to propose a procedural model to examine the influence of product type on both the effect and spread of related WOM information at the same time.Design methodology approach - Using a self-administered questionnaire, a sample of 895 consumers across 16 different products was collected; results were analyzed using structural equation modeling.Findings - WOM was found to be more influential and more widely spread for services than for goods. In addition, although the level of receivers' perceived risk (PR) is generally assumed to be a significant antecedent of WOM influence (WI), the results of the study indicate that PR is not a direct function of WI. Instead, WOM request (WR) mediates the effect of PR on WI.Originality value - To the authors' knowledge, this is the first study to examine the relationship between product type and WOM from a dyadic perspective. Moreover, the authors introduced two important mediators - namely, PR and WR - in the model in order to identify different potential effects of WOM in a seeker-initiated context. The results of this study will enhance knowledge about the influences of WOM information.</abstract><cop>Bradford</cop><pub>Emerald Group Publishing Limited</pub><doi>10.1108/17505931111187802</doi><tpages>14</tpages></addata></record> |
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subjects | Behavior Classification Communication Consumers Customer services Dyadics Influence Interactive Marketing Mathematical analysis Mathematical models Receivers Spreads Structural equation modeling Studies Word of mouth advertising |
title | Product type and word of mouth: a dyadic perspective |
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