Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
An adaptive decision support system for last mile logistics in e-commerce: A study on online grocery shopping
International Journal of Decision Support System Technology, Volume 5, No. 1, Year 2013
Notification
URL copied to clipboard!
Description
Last mile logistics represent one of the most important challenging issues in online grocery shopping. Online customers are expecting high logistical services, demanding convenience, high reliable and on-time delivery services. As such, online retailers have to respond to these expectations by providing convenient logistical services while keeping this process cost efficient as much as possible. This research aims to design an e-commerce logistical decision support system for online grocery shopping in Jordan as a case study from the developing countries. Online grocery retailers are supposed to use this model in order to select the most suitable delivery operating system in the future. To implement and evaluate this model, one of the available routing and scheduling online solutions (i.e. "My Route Online") is used to identify, analyse, and compare the cost efficiencies of the available alternative delivery solutions. The system is tested using real data over three different delivery alternatives (i.e. home delivery, delivery point and pickup point) in order to evaluate and compare their cost efficiencies. The findings from the experiments show that there are significant differences amongst the three delivery alternatives on the basis of three KPIs: cost, distance and time. The findings also indicate that the time indicator has more powerful change effect on cost than distance for all delivery alternatives. According to the level of investments online grocery retailers are willing to offer, customer preferences, and the experimental results, it is concluded that pickup point solution is the best logistical strategy for online grocery retailers to start with. Copyright © 2013, IGI Global.
Authors & Co-Authors
Nawayseh, Mohammad
Jordan, Jerash
Jerash Private University
Alnabhan, Mohammad M.
Jordan, Jerash
Jerash Private University
Al-Debei, Mutaz M.
Jordan, Amman
The University of Jordan
Balachandran, Wamadeva
United Kingdom, Uxbridge
Brunel University London
Statistics
Citations: 4
Authors: 4
Affiliations: 3
Identifiers
Doi:
10.4018/jdsst.2013010103
ISSN:
19416296
e-ISSN:
1941630X
Study Design
Case Study
Study Approach
Qualitative