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Open AccessArticle

Narrowing the Gaps: Assessment of Logistics Firms’ Information Technology Flexibility for Sustainable Growth

1
Asia Pacific School of Logistics, Inha University, Incheon 22212, Korea
2
Logistics and Operations Management Section, Cardiff Business School, Cardiff University, Cardiff CF10 3EU, UK
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(11), 4372; https://doi.org/10.3390/su12114372
Received: 28 April 2020 / Revised: 20 May 2020 / Accepted: 21 May 2020 / Published: 26 May 2020
(This article belongs to the Special Issue Sustainable Assessment in Supply Chain and Infrastructure Management)
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. View Full-Text
Keywords: flexibility; IT flexibility; importance‒performance analysis; partial least squared structured equation modelling; performance gap; sustainable growth flexibility; IT flexibility; importance‒performance analysis; partial least squared structured equation modelling; performance gap; sustainable growth
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MDPI and ACS Style

Han, J.H.; Wang, Y.; Naim, M. Narrowing the Gaps: Assessment of Logistics Firms’ Information Technology Flexibility for Sustainable Growth. Sustainability 2020, 12, 4372.

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