Investigation of the Correlation Between Trust and Reputation in B2C e-Commerce Using Alexa Ranking
Author(s) -
Issa Najafi,
Mohsen Kamyar,
Ali Kamyar,
Mahmoudreza Tahmassebpour
Publication year - 2017
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2017.2720118
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
As a general approach to gain electronic trust in business-to-consumer e-commerce, the customers select valid brands based on the authenticity of the Web and regulatory mechanisms in order to facilitate purchase decision process. This approach is not suitable for purchase from small companies without brands active in e-commerce. To purchase from these companies, we should follow other e-trust approaches. One of the approaches applied in information literate is to refer to valid ranking sites like Alexa rank. Here, we have evaluated the correlation between Alexa rank and the formal measures of trust in electronic space, and have suggested a new method for the e-trust that is based on an electronic reputation built on the existing ranking results given by the ranking sites. To this end, we selected 100 store Websites based on regulatory lists, and the formal criteria of trust for them were measured along with the correlation of these criteria with Alexa rank.
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