Digitalization in container shipping: Do perception and satisfaction regarding digital products in a non-technology industry affect overall customer loyalty?
Gökcay Balci
Technological Forecasting and Social Change, 2021, vol. 172, issue C
Abstract:
Like many other non-tech industries, container shipping services and operations have recently started being digitalized through various digital products and technologies. Despite several proven and projected benefits of digitalization, the impact of digitalization on customer loyalty in non-tech industries has not been fully investigated. Following the recent digitization trend, this research paper examines the relationship between perception and satisfaction on recently implemented digital products and overall customer loyalty in container shipping. Anchored on the technology acceptance model (TAM), a partial least squares structural equation modeling (PLS-SEM) is applied based on the survey conducted on freight forwarders who are major customers of container lines. Results indicate that digital satisfaction and digital trust positively affect overall customer loyalty, while perceived ease of use, perceived usefulness, and digital trust positively influence digital satisfaction. Results of the study show that those digitalized services and operations of container lines have already started to influence overall customer loyalty. This paper provides important theoretical and managerial implications regarding digitalization in container shipping and other non-tech industries.
Keywords: Digitalization; Shipping; Non-technology industry; Digital satisfaction; Customer loyalty; Digital trust (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162521004480
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:172:y:2021:i:c:s0040162521004480
DOI: 10.1016/j.techfore.2021.121016
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().