TY - GEN
T1 - Design of an enhanced logistics service provider selection model for e-commerce application
AU - Luk, C. C.
AU - Choy, K. L.
AU - Lam, H. Y.
N1 - Publisher Copyright:
© 2018 Portland International Conference on Management of Engineering and Technology, Inc. (PICMET).
PY - 2018/10/4
Y1 - 2018/10/4
N2 - With the increasing popularity of online shopping, customer's purchasing habits are gradually changing in that they often prefer to buy goods online instead of visiting a physical retail store. Hence, the business-to-customer (B2C) e-commerce concept has emerged to bring convenience and flexibility to customers. By shifting the traditional business model to e-commerce, the seller, e.g. supplier or retailer, not only concentrates on directly selling goods to customers online, but also needs to manage the whole business process, including product delivery to customers within a short period of time. To focus on the core business, the logistics function in the B2C market is usually outsourced to a logistics service provider (LSP). However, sellers who are new to the e-commerce market may find it difficult to select an appropriate LSP to fulfill their needs. In this paper, an enhanced logistics service provider selection (ELSPS) model is proposed for selecting an appropriate partner for providing delivery services under the e-commerce environment. A double fuzzy analytical hierarchy processing (FAHP) approach is applied for multi-criteria decision analysis in LSP selection and follow-up action prioritization. A pilot study is conducted, and the results provide a systematic approach and guidelines for new comers to enter into the e-commerce market.
AB - With the increasing popularity of online shopping, customer's purchasing habits are gradually changing in that they often prefer to buy goods online instead of visiting a physical retail store. Hence, the business-to-customer (B2C) e-commerce concept has emerged to bring convenience and flexibility to customers. By shifting the traditional business model to e-commerce, the seller, e.g. supplier or retailer, not only concentrates on directly selling goods to customers online, but also needs to manage the whole business process, including product delivery to customers within a short period of time. To focus on the core business, the logistics function in the B2C market is usually outsourced to a logistics service provider (LSP). However, sellers who are new to the e-commerce market may find it difficult to select an appropriate LSP to fulfill their needs. In this paper, an enhanced logistics service provider selection (ELSPS) model is proposed for selecting an appropriate partner for providing delivery services under the e-commerce environment. A double fuzzy analytical hierarchy processing (FAHP) approach is applied for multi-criteria decision analysis in LSP selection and follow-up action prioritization. A pilot study is conducted, and the results provide a systematic approach and guidelines for new comers to enter into the e-commerce market.
UR - http://www.scopus.com/inward/record.url?scp=85056485234&partnerID=8YFLogxK
U2 - 10.23919/PICMET.2018.8481835
DO - 10.23919/PICMET.2018.8481835
M3 - Conference article published in proceeding or book
AN - SCOPUS:85056485234
T3 - PICMET 2018 - Portland International Conference on Management of Engineering and Technology: Managing Technological Entrepreneurship: The Engine for Economic Growth, Proceedings
SP - 1
EP - 7
BT - PICMET 2018 - Portland International Conference on Management of Engineering and Technology
A2 - Steenhuis, Harm-Jan
A2 - Niwa, Kiyoshi
A2 - Perman, Gary
A2 - Kocaoglu, Dundar F.
A2 - Anderson, Timothy R.
A2 - Kozanoglu, Dilek Cetindamar
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Portland International Conference on Management of Engineering and Technology, PICMET 2018
Y2 - 19 August 2018 through 23 August 2018
ER -