Revealing the Impact of Operational Logistics Service Quality on Omni-Channel Capability
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Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Emerald Group Publishing Ltd
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Purpose - This paper introduces the term omni-channel capability and tests its validity. The purpose of this paper is to investigate the impact of logistics service quality (LSQ) on omni-channel capability. Design/methodology/approach - An online survey was used to evaluate the new concept of omni-channel capability and LSQ from the consumer's perception. A two split sample technique was used to validate omni-channel capability and test the impact of LSQ on it through structural equation modeling. Factor analysis and structural equation modeling were performed to introduce, test and validate omni-channel capability, and test the study's hypotheses. Consumers who had previously shopped from both the online and physical stores of a particular retailer completed a self-administered survey. Findings - The findings supported the use of the term omni-channel capability, which has three elements: channel consistency, cross-channel and social media. The results also revealed the positive impact of operational LSQ on omni-channel capability. Practical implications - Taking consumer perceptions as a reference point, this study reveals major issues that retailers should focus on while pursuing an omni-channel strategy. The findings also highlight the need for retailers to ensure operational LSQ to implement an omni-channel management strategy. Originality/value - To improve on the limited theoretical understanding and empirical grounding of omni-channel management, this study described the three elements of omni-channel capability. The impact of operational LSQ on omni-channel capability gives empirical support for the theorized hierarchy of dynamic capabilities (zero- and first-order capabilities).
Description
ORCID
Keywords
Logistics service quality, Dynamic capabilities, Consumer perception, Structural equation modelling, Multi-channel management, Omni-channel management, Covariance Structure-Analysis, Exploratory Factor-Analysis, Special-Issue, Social Media, Multichannel Distribution, E-Fulfillment, Last Mile, Customers, Retail, Model
Fields of Science
0502 economics and business, 05 social sciences
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
49
Source
Asıa Pacıfıc Journal of Marketıng And Logıstıcs
Volume
30
Issue
5
Start Page
1200
End Page
1221
PlumX Metrics
Citations
CrossRef : 51
Scopus : 51
Captures
Mendeley Readers : 218
SCOPUS™ Citations
51
checked on Mar 09, 2026
Web of Science™ Citations
49
checked on Mar 09, 2026
Page Views
1
checked on Mar 09, 2026
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