Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/1315
Title: A quantitative performance management framework for assessing omnichannel retail supply chains
Authors: Adivar, Burcu
Hüseyinoğlu, Işık Özge Yumurtacı
Christopher, Martin
Keywords: Retail supply chains
Omnichannel retailing
Performance metrics
Quantitative analysis, retail performance
Resource-Based-View
Omni-Channel
Competitive Advantage
Special-Issue
Multichannel
Evolution
Future
Logistics
Fashion
Categorization
Publisher: Elsevier Sci Ltd
Abstract: This study proposes a performance management framework with a roadmap to success and evaluates successful retailers. We provide comparative analysis of brick-and-mortar versus omnichannel retail supply chains and propose comprehensive performance metrics categorized with respect to four competitive dimensions (sustainability, efficiency and effectiveness, responsiveness, flexibility) and seven perspectives (customers, operations, sourcing, finance, information sharing and information technology, transportation, environment). Two customer-centric frameworks and a statistical model are developed to analyze the characteristics of successful omnichannel retail supply chains. The quantitative analysis shows that physical stores are a critical component of omnichannel strategy for many retailers. From a practical perspective, our frameworks provide guidelines and metrics to be used for assessing the success of omnichannel retailers. The comparative analysis of the top 25 U.S. retailers provides additional insights for critical success components in transition to omnichannel retailing.
URI: https://doi.org/10.1016/j.jretconser.2019.02.024
https://hdl.handle.net/20.500.14365/1315
ISSN: 0969-6989
1873-1384
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
349.pdf
  Until 2030-01-01
2.33 MBAdobe PDFView/Open    Request a copy
Show full item record



CORE Recommender

SCOPUSTM   
Citations

98
checked on Nov 6, 2024

WEB OF SCIENCETM
Citations

84
checked on Nov 6, 2024

Page view(s)

120
checked on Nov 11, 2024

Download(s)

8
checked on Nov 11, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.