Staff View: Relevance judgment of argument quality and online review adoption during information search in e-commerce review platform

Relevance judgment of argument quality and online review adoption during information search in e-commerce review platform

The landscape of e-Commerce review platforms can be assumed to be in a state of constant growth due to the viral nature of web content. Furthermore, the leading features of these platform has been acclaimed to be among the influential factors in shaping the behavior of online consumer. Even so, in t...

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Main Authors:	Che Lah, Nur Syadhila, Che Hussin, Ab. Razak, A. Jalil, Norazira, Subri, Nor Fatiha
Format:	Book Section
Published:	Springer Science and Business Media Deutschland GmbH 2022
Subjects:	HB Economic Theory
Online Access:	http://eprints.utm.my/id/eprint/99830/ http://dx.doi.org/10.1007/978-3-030-98741-1_50
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id	my.utm.99830
record_format	eprints
spelling	my.utm.998302023-04-04T06:42:21Z http://eprints.utm.my/id/eprint/99830/ Relevance judgment of argument quality and online review adoption during information search in e-commerce review platform Che Lah, Nur Syadhila Che Hussin, Ab. Razak A. Jalil, Norazira Subri, Nor Fatiha HB Economic Theory The landscape of e-Commerce review platforms can be assumed to be in a state of constant growth due to the viral nature of web content. Furthermore, the leading features of these platform has been acclaimed to be among the influential factors in shaping the behavior of online consumer. Even so, in this regard, if the platform presents too many reviews in non-relevant manner, this may be time-consuming and cumbersome to be understand. Hence, awareness on identifying valuable content of online reviews during information searching process has become important part for online businesses. This study purposely aims to develop a model to understand consumer adoption of online reviews based on dynamics relevance judgment of argument quality in e-Commerce review platform. Elaboration Likelihood Model (ELM) is used in developing the research model to find the potential effects of consumer relevance judgment from information retrieval perspective, which include perceived informative and affective relevance. A quantitative research method has been applied to test and validate the proposed research model. Total of 238 valid respondents has been analyzed using the Partial Least Square Structural Modelling (PLS-SEM) technique. From the research findings, the study found that, content novelty, content topicality, content similarity, content tangibility and content sentimentality could positively influence perception of argument quality which led to information adoption behavior. To be concluded, the importance of information relevancy was also highlighted in this study, which reveals some appropriate features that can be utilized by e-Commerce practitioners to better refine their information search criteria in online review platforms. Springer Science and Business Media Deutschland GmbH 2022 Book Section PeerReviewed Che Lah, Nur Syadhila and Che Hussin, Ab. Razak and A. Jalil, Norazira and Subri, Nor Fatiha (2022) Relevance judgment of argument quality and online review adoption during information search in e-commerce review platform. In: Advances on Intelligent Informatics and Computing Health Informatics, Intelligent Systems, Data Science and Smart Computing. Lecture Notes on Data Engineering and Communications Technologies, 127 (NA). Springer Science and Business Media Deutschland GmbH, Cham, Switzerland, pp. 604-615. ISBN 978-3-030-98740-4 http://dx.doi.org/10.1007/978-3-030-98741-1_50 DOI : 10.1007/978-3-030-98741-1_50
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	HB Economic Theory
spellingShingle	HB Economic Theory Che Lah, Nur Syadhila Che Hussin, Ab. Razak A. Jalil, Norazira Subri, Nor Fatiha Relevance judgment of argument quality and online review adoption during information search in e-commerce review platform
description	The landscape of e-Commerce review platforms can be assumed to be in a state of constant growth due to the viral nature of web content. Furthermore, the leading features of these platform has been acclaimed to be among the influential factors in shaping the behavior of online consumer. Even so, in this regard, if the platform presents too many reviews in non-relevant manner, this may be time-consuming and cumbersome to be understand. Hence, awareness on identifying valuable content of online reviews during information searching process has become important part for online businesses. This study purposely aims to develop a model to understand consumer adoption of online reviews based on dynamics relevance judgment of argument quality in e-Commerce review platform. Elaboration Likelihood Model (ELM) is used in developing the research model to find the potential effects of consumer relevance judgment from information retrieval perspective, which include perceived informative and affective relevance. A quantitative research method has been applied to test and validate the proposed research model. Total of 238 valid respondents has been analyzed using the Partial Least Square Structural Modelling (PLS-SEM) technique. From the research findings, the study found that, content novelty, content topicality, content similarity, content tangibility and content sentimentality could positively influence perception of argument quality which led to information adoption behavior. To be concluded, the importance of information relevancy was also highlighted in this study, which reveals some appropriate features that can be utilized by e-Commerce practitioners to better refine their information search criteria in online review platforms.
format	Book Section
author	Che Lah, Nur Syadhila Che Hussin, Ab. Razak A. Jalil, Norazira Subri, Nor Fatiha
author_facet	Che Lah, Nur Syadhila Che Hussin, Ab. Razak A. Jalil, Norazira Subri, Nor Fatiha
author_sort	Che Lah, Nur Syadhila
title	Relevance judgment of argument quality and online review adoption during information search in e-commerce review platform
title_short	Relevance judgment of argument quality and online review adoption during information search in e-commerce review platform
title_full	Relevance judgment of argument quality and online review adoption during information search in e-commerce review platform
title_fullStr	Relevance judgment of argument quality and online review adoption during information search in e-commerce review platform
title_full_unstemmed	Relevance judgment of argument quality and online review adoption during information search in e-commerce review platform
title_sort	relevance judgment of argument quality and online review adoption during information search in e-commerce review platform
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2022
url	http://eprints.utm.my/id/eprint/99830/ http://dx.doi.org/10.1007/978-3-030-98741-1_50
_version_	1762837428615249920
score	13.211869

Relevance judgment of argument quality and online review adoption during information search in e-commerce review platform

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