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Trust model to increase purchase intent among e-commerce consumers

This paper draws a comparison between proposed trust model and other online trust models, with special emphasis on eBay, as one of the best trusted sites in this field conducted by comparisons with similar sites in this paper, and it has been identified strengths and weaknesses that exist in the eBa...

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Main Authors: Abbass, S. M., Osman, S. E. F.
Format: Article
Published: Asian Research Publishing Network 2016
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QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/73719/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962530361&partnerID=40&md5=51411ee74894a7eb506aca32e7b01b7c
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spelling my.utm.737192017-11-18T01:22:30Z http://eprints.utm.my/id/eprint/73719/ Trust model to increase purchase intent among e-commerce consumers Abbass, S. M. Osman, S. E. F. QA75 Electronic computers. Computer science This paper draws a comparison between proposed trust model and other online trust models, with special emphasis on eBay, as one of the best trusted sites in this field conducted by comparisons with similar sites in this paper, and it has been identified strengths and weaknesses that exist in the eBay site and a solutions for those problems has been proposed. Proposed model depends on a secured database by assurance key (AK), technically known as the AK-DB, which contains a unique number for each consumer can not possess other, and designed AK generation and verification system (AKGVS). The proposed AKs are intended to replace credit card numbers, as a tool for verification of consumer identity when conducting electronic transactions. After that capture a picture of the face of the consumer using a digital camera is stored digital image in the database (Image-DB) by his/her AK and then compared this data in a trusted third party (TTP) database equipped with technology Face Recognition (FR), where is verified by online verification (OV) system. After verifying the customer's AK and image, it is compared that data with the blacklist (BL) that have all of his/her data remnants precedent set by the TTP to make sure that the consumer has no previous offenses and then allow or not to allow him/ to practice e-commerce through the website. When allowed to practice E-Commerce in e-fulfillment of the terms of trade becomes (seller/buyer) to know each other, which, in turn, leads to increase the trust among them, and the formation of a secure e-community. Were generated AK system test and compare the results with the system used in the generation of credit cards results then were analyzed this data using the ANOVA statistical analysis to identify the results, the results proved that proposed model has made the best of these credit cards results, There is a significant difference and statistically significant (Sig. 0.000), then the proposed model assessing the same method adopted in the evaluation eBay model. Finally, proposed new e-payment mothed more secure and easy such as (Hassa service) or use of social networks such as (Twitter) in financial transactions. Asian Research Publishing Network 2016 Article PeerReviewed Abbass, S. M. and Osman, S. E. F. (2016) Trust model to increase purchase intent among e-commerce consumers. Journal of Theoretical and Applied Information Technology, 85 (2). pp. 172-182. ISSN 1992-8645 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962530361&partnerID=40&md5=51411ee74894a7eb506aca32e7b01b7c
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 QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Abbass, S. M.
Osman, S. E. F.
Trust model to increase purchase intent among e-commerce consumers
description This paper draws a comparison between proposed trust model and other online trust models, with special emphasis on eBay, as one of the best trusted sites in this field conducted by comparisons with similar sites in this paper, and it has been identified strengths and weaknesses that exist in the eBay site and a solutions for those problems has been proposed. Proposed model depends on a secured database by assurance key (AK), technically known as the AK-DB, which contains a unique number for each consumer can not possess other, and designed AK generation and verification system (AKGVS). The proposed AKs are intended to replace credit card numbers, as a tool for verification of consumer identity when conducting electronic transactions. After that capture a picture of the face of the consumer using a digital camera is stored digital image in the database (Image-DB) by his/her AK and then compared this data in a trusted third party (TTP) database equipped with technology Face Recognition (FR), where is verified by online verification (OV) system. After verifying the customer's AK and image, it is compared that data with the blacklist (BL) that have all of his/her data remnants precedent set by the TTP to make sure that the consumer has no previous offenses and then allow or not to allow him/ to practice e-commerce through the website. When allowed to practice E-Commerce in e-fulfillment of the terms of trade becomes (seller/buyer) to know each other, which, in turn, leads to increase the trust among them, and the formation of a secure e-community. Were generated AK system test and compare the results with the system used in the generation of credit cards results then were analyzed this data using the ANOVA statistical analysis to identify the results, the results proved that proposed model has made the best of these credit cards results, There is a significant difference and statistically significant (Sig. 0.000), then the proposed model assessing the same method adopted in the evaluation eBay model. Finally, proposed new e-payment mothed more secure and easy such as (Hassa service) or use of social networks such as (Twitter) in financial transactions.
format Article
author Abbass, S. M.
Osman, S. E. F.
author_facet Abbass, S. M.
Osman, S. E. F.
author_sort Abbass, S. M.
title Trust model to increase purchase intent among e-commerce consumers
title_short Trust model to increase purchase intent among e-commerce consumers
title_full Trust model to increase purchase intent among e-commerce consumers
title_fullStr Trust model to increase purchase intent among e-commerce consumers
title_full_unstemmed Trust model to increase purchase intent among e-commerce consumers
title_sort trust model to increase purchase intent among e-commerce consumers
publisher Asian Research Publishing Network
publishDate 2016
url http://eprints.utm.my/id/eprint/73719/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962530361&partnerID=40&md5=51411ee74894a7eb506aca32e7b01b7c
_version_ 1643656728740364288
score 13.211869

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