A semiotics-informed conceptual maturity model for industrial IoT integration

Purpose This study aims to develop a descriptive maturity model for evaluating the integration of IIoT technologies within enterprise environments. Although IIoT enables data-driven and automated operations, integration remains complex because of technological and organisational interdependencies. Existing models lack conceptual consistency and provide limited insight into operational integration. The study therefore proposes a theory-informed maturity model, specifically focused on IIoT integration into business operations. Design/methodology/approach The study uses a maturity model development methodology guided by design science research. It draws on literature-based insights to develop the initial model components and applies a theoretical foundation to interpret and structure the model dimensions. The model was then evaluated and refined through two design cycles involving expert interviews. Findings The maturity model comprises four dimensions: physical object, data, process and business service, organised and interpreted using the Semiotic Ladder and five maturity levels: pre-pilot, pilot, operational, organisation-scale and ecosystem-scale. It also identifies the key capabilities required to effectively integrate IIoT into business operations. Originality/value This study develops a theory-informed maturity model based on the semiotic ladder of organisational semiotics, offering a novel semiotics-based perspective for conceptualising and assessing IIoT maturity. It explicitly focuses on the integration of IIoT into business operations, emphasising the key dimensions required to support this integration.

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Publication Details

Journal
Journal of Enterprise Information Management
Published
2026-09-10
DOI
https://doi.org/10.1108/jeim-11-2025-1147
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
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article

A semiotics-informed conceptual maturity model for industrial IoT integration

Wasana Bandara, Alireza Nili, Alistair Barros, Kevin C. Desouza et al.
Journal of Enterprise Information Management
Digital Transformation in Industry
article

A semiotics-informed conceptual maturity model for industrial IoT integration

Wasana Bandara, Alireza Nili, Alistair Barros, Kevin C. Desouza, Himashi Sandamini Widana Kankanamge
article en

Abstract

Purpose This study aims to develop a descriptive maturity model for evaluating the integration of IIoT technologies within enterprise environments. Although IIoT enables data-driven and automated operations, integration remains complex because of technological and organisational interdependencies. Existing models lack conceptual consistency and provide limited insight into operational integration. The study therefore proposes a theory-informed maturity model, specifically focused on IIoT integration into business operations. Design/methodology/approach The study uses a maturity model development methodology guided by design science research. It draws on literature-based insights to develop the initial model components and applies a theoretical foundation to interpret and structure the model dimensions. The model was then evaluated and refined through two design cycles involving expert interviews. Findings The maturity model comprises four dimensions: physical object, data, process and business service, organised and interpreted using the Semiotic Ladder and five maturity levels: pre-pilot, pilot, operational, organisation-scale and ecosystem-scale. It also identifies the key capabilities required to effectively integrate IIoT into business operations. Originality/value This study develops a theory-informed maturity model based on the semiotic ladder of organisational semiotics, offering a novel semiotics-based perspective for conceptualising and assessing IIoT maturity. It explicitly focuses on the integration of IIoT into business operations, emphasising the key dimensions required to support this integration.

Journal of Enterprise Information Management
Queensland University of Technology (AU)
Openalex Percentile: Top 10%
Digital Transformation in Industry
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