Abstract

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.

Highlights

  • Information Technology (IT) flexibility is one of the most widely used concepts for identifying a firm’s ability to cope with the variation generated by its business environment [1,2,3,4]

  • There has been a lack of analytical tools that calculate the required and actual level of IT flexibility dimensions, impeding strategic decision-making in resource investment

  • To fill this research gap, we suggest the use of Importance-Performance Analysis (IPA), combined with Partial Least Squared Structured Equation Modelling (PLS-SEM), to identify the gaps between the required and actual levels of each flexibility dimension

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Summary

Introduction

Information Technology (IT) flexibility is one of the most widely used concepts for identifying a firm’s ability to cope with the variation generated by its business environment [1,2,3,4]. To fill this research gap, we suggest the use of Importance-Performance Analysis (IPA), combined with Partial Least Squared Structured Equation Modelling (PLS-SEM), to identify the gaps between the required and actual levels of each flexibility dimension. The combined use of IPA and PLS-SEM is a largely neglected method, in the Technology Management field. To the best of our knowledge, our paper is the first to apply combined IPA and PLS-SEM in the context of operational flexibility more generally, and IT flexibility . We acknowledge our research limitations and discuss future research directions

Literature Review—Managing Multiple Dimensions of IT Flexibility
C Importance scale
Application of the Method to IT Flexibility Dimensions
Data Collection
Industry-Level Analysis
Indicator-Level Analysis—Development of a Resource Allocation Action Plan
Theoretical Contribution
Practical Contribution
Findings
Limitations and Future Research
Full Text
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