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The most sustainable-resilient IoT providers unveiled through groundbreaking RTS technology

    • Deakin University
    • Sultan Qaboos University

    Research output: Contribution to journal › Article › peer-review

    Abstract

    Despite the immense importance of digital technologies, there has been a noticeable lack of attention to designing and implementing new evaluation models and frameworks for assessing their providers. To address this gap, an advanced Data Envelopment Analysis (DEA) model is developed to account for changes in both input and output variables. The developed model incorporates the Directional Distance Function (DDF) and non-radial efficiency functions, enabling more precise evaluations of Internet of Things (IoT) providers. Additionally, it classifies providers into three distinct categories: Pareto-efficient, weak-efficient, and inefficient, offering a clearer assessment of their overall efficiency. Overall, the model provides a unique and comprehensive framework for evaluating the sustainability and resilience of IoT providers. The sustainability and resilience of IoT providers are evaluated through the development of a novel analytical model. Based on the DDF, proportional inputs and outputs are considered within the DEA framework. A variety of data types, including integers and ratios, are integrated into hybrid returns to scale (HRS) technology. For the first time, directional distance and non-radial efficiency functions are incorporated into HRS technology. The proposed model can classify IoT providers into three categories: Pareto-efficient, weak-efficient, and inefficient.
    Original languageEnglish
    Number of pages27
    JournalJournal of Business Analytics
    Early online date3 Feb 2026
    DOIs
    Publication statusE-pub ahead of print - 3 Feb 2026

    Bibliographical note

    Copyright © 2026 The Operational Research Society. This is an Accepted Manuscript of an article published by Taylor & Francis in the Journal of Business Analytics on 3rd February 2026, available online at: https://doi.org/10.1080/2573234X.2026.2622336. This version is made available under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

    Keywords

    • Data Envelopment Analysis (DEA)
    • Industry 4.0
    • Internet of Things (IoT)
    • IoT provider
    • hybrid returns to scale (HRS) technology
    • sustainable and resilient supply chain

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