Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Narrowing the gaps: Assessment of logistics firms' information technology flexibility for sustainable growth

Han, Jeong, Wang, Yingli ORCID: and Naim, Mohamed ORCID: 2020. Narrowing the gaps: Assessment of logistics firms' information technology flexibility for sustainable growth. Sustainability 12 (11) , 4372. 10.3390/su12114372

[thumbnail of sustainability-12-04372.pdf] PDF - Published Version
Available under License Creative Commons Attribution.

Download (635kB)


In a supply chain management context, the effective management of Information Technology (IT) flexibility has been an issue to be resolved. However, no analytical method that calculates the required and actual level of IT flexibility dimensions has been proposed. This paper aims to provide an analytical tool that measures the required and actual levels of IT flexibility dimensions to provide the best value from a logistics firm’s IT flexibility. To do so, we propose a combined Importance‒Performance Analysis (IPA) and Partial Least Squared Structured Equation Modelling (PLS-SEM) method based on a multidimensional IT flexibility model. By comparing industry-level data with client firm data, our method allows for effective identification of a client logistics company’s multiple IT flexibility gaps and indicates where particular management interventions are required. By proposing importance and performance as measurement scales, our research suggests an analytical tool that managers can utilize to assess IT flexibility and identify any gaps that exist between actual and required flexibility levels. This allows managers to effectively address areas that demand further attention. This approach also leads to an improved understanding of how organisations can extract the best value from their investment in IT flexibility to contribute to sustainable growth.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Publisher: MDPI
ISSN: 2071-1050
Date of First Compliant Deposit: 27 May 2020
Date of Acceptance: 21 May 2020
Last Modified: 05 May 2023 08:07

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics