Universiti Teknologi Malaysia Institutional Repository

Analysis of consumer risk perception on online auction features

Mai Candra, Reski (2013) Analysis of consumer risk perception on online auction features. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System.

[img]
Preview
PDF
392kB

Abstract

This study examines consumer’s perception related to perceived risk while the doing transaction in e-auction system. Previous research found there are some features in e-auction system recognize as unclarity features since they indicate having fraud or cheating. In the online auction environment perception could be categories in two types such as privacy and security. This study proposed a conceptual model based on perceived risks from consumer’s investigation, associated directly with four cost features of e-auction system: payment method, auction fee, bidding fee and third party services that are combined with four perceived risk components: performance risk, psychological risk, financial risk, and time risk. Researcher has developed a questionnaire for collecting data from consumer’s who has experience in using e-auction. Through statistical analysis using regression, this study found that payment method, auction fee, bidding fee has a positive impact on perceived risk. However, third party services have a significant effect upon consumer perceived risk on financial risk but not significant effect to time risk. Furthermore the online auction features is directly related on reducing consumers' risk perception. In summarize, online auction features associated with financial plays a crucial role in reducing consumers' perceived risk in online auction transactions. The results of the study can offer insights to e-transaction and researchers of e-auction about the role of online auction system features in transaction and e-commerce.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Sains (Teknologi Maklumat - Pengurusan)) - Universiti Teknologi Malaysia, 2013; Supervisor : Dr. Noorminshah A. Iahad
Uncontrolled Keywords:auctions, computer network resources
Subjects:Unspecified
Divisions:Computer Science and Information System (Formerly known)
ID Code:33075
Deposited By: Kamariah Mohamed Jong
Deposited On:24 Apr 2014 13:08
Last Modified:24 Jul 2017 08:59

Repository Staff Only: item control page