Enhancing user acceptance of feedback in reputation systems using social factors

In e-commerce, reputation systems are created as decision making tools that work via gathering reputation information of online sellers, products or services meant for distribution to interested parties. One of the challenges of the current reputation systems is generating trustworthy feedback to ov...

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Main Author:	Ehsaei, Fereshteh Ghazizadeh
Format:	Thesis
Language:	English
Published:	2013
Subjects:	T58.6-58.62 Management information systems
Online Access:	http://eprints.utm.my/id/eprint/37888/5/FereshtehGhazizadehPFSKSM2013.pdf
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id	my-utm-ep.37888
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spelling	my-utm-ep.378882017-07-05T04:32:15Z Enhancing user acceptance of feedback in reputation systems using social factors 2013-07 Ehsaei, Fereshteh Ghazizadeh T58.6-58.62 Management information systems In e-commerce, reputation systems are created as decision making tools that work via gathering reputation information of online sellers, products or services meant for distribution to interested parties. One of the challenges of the current reputation systems is generating trustworthy feedback to overcome fake and inaccurate submitted feedback as this may mislead the feedback receiver in the process of decision making for shopping online. This research used a social approach to investigate the influence of social factors on acceptance of feedback in the reputation systems and how social relationship indicators can be utilized in these systems. A research model was developed based on three main factors comprising homophily, tie strength and source credibility. Seven hypotheses were developed to test the model. A survey was conducted to evaluate the effect of the proposed social factors to improve feedback acceptance in reputation systems. Data analysis and model testing were operated using Structural Equation Modelling (SEM) with Partial Least Squares (PLS) technique. Then, the proposed model was used to develop the design principles for a social reputation system based on Information Systems Design Theory (ISDT). The results indicated that acceptance of feedback was significantly affected by cognitive and demographic homophily. In addition, expertise and trustworthiness with reference to source credibility had positive influence on the acceptance of feedback. Besides that, based on the three dimensions of the tie strength, closeness of relationship was significant whereas the frequency of interaction and duration of relationship were not significant. In general, the findings of this study supported the proposed theoretical model by emphasizing the role of social relationship of source and recipient on acceptance of feedback to assist users to access trustworthy feedback in reputation systems. 2013-07 Thesis http://eprints.utm.my/id/eprint/37888/ http://eprints.utm.my/id/eprint/37888/5/FereshtehGhazizadehPFSKSM2013.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	T58.6-58.62 Management information systems
spellingShingle	T58.6-58.62 Management information systems Ehsaei, Fereshteh Ghazizadeh Enhancing user acceptance of feedback in reputation systems using social factors
description	In e-commerce, reputation systems are created as decision making tools that work via gathering reputation information of online sellers, products or services meant for distribution to interested parties. One of the challenges of the current reputation systems is generating trustworthy feedback to overcome fake and inaccurate submitted feedback as this may mislead the feedback receiver in the process of decision making for shopping online. This research used a social approach to investigate the influence of social factors on acceptance of feedback in the reputation systems and how social relationship indicators can be utilized in these systems. A research model was developed based on three main factors comprising homophily, tie strength and source credibility. Seven hypotheses were developed to test the model. A survey was conducted to evaluate the effect of the proposed social factors to improve feedback acceptance in reputation systems. Data analysis and model testing were operated using Structural Equation Modelling (SEM) with Partial Least Squares (PLS) technique. Then, the proposed model was used to develop the design principles for a social reputation system based on Information Systems Design Theory (ISDT). The results indicated that acceptance of feedback was significantly affected by cognitive and demographic homophily. In addition, expertise and trustworthiness with reference to source credibility had positive influence on the acceptance of feedback. Besides that, based on the three dimensions of the tie strength, closeness of relationship was significant whereas the frequency of interaction and duration of relationship were not significant. In general, the findings of this study supported the proposed theoretical model by emphasizing the role of social relationship of source and recipient on acceptance of feedback to assist users to access trustworthy feedback in reputation systems.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Ehsaei, Fereshteh Ghazizadeh
author_facet	Ehsaei, Fereshteh Ghazizadeh
author_sort	Ehsaei, Fereshteh Ghazizadeh
title	Enhancing user acceptance of feedback in reputation systems using social factors
title_short	Enhancing user acceptance of feedback in reputation systems using social factors
title_full	Enhancing user acceptance of feedback in reputation systems using social factors
title_fullStr	Enhancing user acceptance of feedback in reputation systems using social factors
title_full_unstemmed	Enhancing user acceptance of feedback in reputation systems using social factors
title_sort	enhancing user acceptance of feedback in reputation systems using social factors
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2013
url	http://eprints.utm.my/id/eprint/37888/5/FereshtehGhazizadehPFSKSM2013.pdf
_version_	1747816508392734720

Enhancing user acceptance of feedback in reputation systems using social factors

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