Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
The Influence of knowledge-based e-commerce product recommender agents on online-consumer decision making process
Download
index.pdf
Date
2013
Author
Huseynov, Farid
Metadata
Show full item record
Item Usage Stats
317
views
95
downloads
Cite This
Online retailers are providing large amount of products over internet for potential customers. Given the opportunity of accessing vast amount of products online, customers usually encounter difficulties to choose the right product or service for themselves. Obtaining advice from internet is both time consuming and most of time not reliable. Therefore, intelligent software is needed to act on behalf of customer in such situations. Recommender systems (agents) are intelligent software providing easily accessible, high-quality recommendations for online consumers. They either track online customer behavior implicitly or obtain information from the customer explicitly and provide the products or services in which customer might be interested. By utilizing such systems, online retailers not only increase their sales but also assist their customers in finding the products or services. This study has assessed the influence of knowledge-based recommender systems on online-consumer decision making process. Shopping duration, purchase of intended item, effort spent in searching intended product and decision quality of online consumer have been assessed by exposing the participants to knowledge-based recommender system which has been integrated to one of the online shopping systems developed in the scope of this study. Only objective measures have been utilized in this research; that is, shopping system log data have been used to measure the influence of recommender agents on consumer decision making process. Study findings have showed that knowledge-based recommender systems improve consumer decision making process by reducing the shopping duration and effort spent in searching suitable products. Also, it has been found that decision quality and the number of consumers who purchase the intended item increase in the existence of such systems. Results of this study provide additional evidences of the potential benefits of integrating such systems to online web stores.
Subject Keywords
Electronic commerce.
,
Internet marketing.
,
Consumers
,
Consumer behavior
URI
http://etd.lib.metu.edu.tr/upload/12615928/index.pdf
https://hdl.handle.net/11511/22628
Collections
Graduate School of Informatics, Thesis
Suggestions
OpenMETU
Core
The influence of knowledge-based e-commerce product recommender agents on online consumer decision-making
Huseynov, Farid; Huseynov, Sema Yildiz; Özkan Yıldırım, Sevgi (2016-01-01)
Online retailers are providing a large amount of products over the Internet for potential customers. Given the opportunity of accessing vast amounts of products online, customers usually encounter difficulties to choose the right product or service for themselves. Obtaining advice from the Internet is both time consuming and most of the time unreliable. Therefore, some kind of intelligent software is needed to act on behalf of customers in such situations. Recommender agents are intelligent software providi...
Internet users' attitudes toward business-to-consumer online shopping: A survey
Huseynov, Farid; Özkan Yıldırım, Sevgi (2016-06-01)
Rapid growth of online shopping activities in recent years has required careful identifications of key factors influencing consumers' behaviors and attitudes toward online shopping. Identifying critical factors influencing online consumer behavior is very crucial for effective customer relationship management. It is very important that online sellers clearly understand critical factors influencing online customers' shopping intention and take necessary actions accordingly. If identified and managed properly...
Determining online consumer typologies and their shopping behaviors in B2C e-commerce platforms
Huseynov, Farid; Demirörs, Onur; Türetken, Oktay; Department of Information Systems (2016)
Business-to-consumer (B2C) e-commerce is the service or product exchange from businesses to consumers over the Internet. B2C e-commerce enables customers to easily compare offered products and services, to find cheaper and better ones from many alternatives and to shop from any given store without physically visiting them. Despite those conveniences provided by B2C e-commerce, a large number of customers prefer to stay away from the idea of shopping over internet due to several factors. For better customer ...
Behavioral Issues in B2C E-commerce: The-state-of-the-art
Huseynov, Farid; Özkan Yıldırım, Sevgi (2016-11-01)
B2C e-commerce is one of the fastest growing industries worldwide. A lot of studies were carried out by both scholars and practitioners in order to assess online consumers' behavioral issues in B2C e-commerce platforms. This paper aims to organize and classify the accumulated literature on B2C e-commerce in order to determine less-researched areas and provide future research directions. For that purpose 208 peer-reviewed articles from 71 journals published between 2005 and 2014 were retrieved and analyzed. ...
The Impact of Online Reviews on the Information Flows and Outcomes of Marketing Systems
Watson, Forrest (2021-10-01)
Online reviews are changing the way that consumers shop and firms respond to consumer feedback. Viewed more broadly, online reviews are a type of information flow altering the functioning of marketing systems at the micro, meso, and macro levels. A systematic review of the past two decades of research shows great attention to the impact of online reviews on information flows, as well as the nuances of micro-and meso-level efficiency outcomes. However, there is scant consideration for the effectiveness relat...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
F. Huseynov, “The Influence of knowledge-based e-commerce product recommender agents on online-consumer decision making process,” M.S. - Master of Science, Middle East Technical University, 2013.