A fuzzy Interpretive Structural Modeling approach for implementing IoT and achieving the United Nations Sustainable Development Goals

• Published in: Decision analytics journal 2023-09, Vol.8, p.100313, Article 100313
• Main Authors: Hasteer, Nitasha, Sindhwani, Rahul, Sharma, Rishika, Singh, Punj Lata
• Format: Article
• Language: English
• Subjects: Business analytics; Fuzzy sets; Internet of Things; Interpretive structural modeling; MICMAC; Sustainability
• ISSN: 2772-6622; 2772-6622
• DOI: 10.1016/j.dajour.2023.100313

The growing demand for data-driven decision-making and the emergence of new business models has led to a rise in digital technologies. As a result, businesses have become more aware of the impact of their activities on the environment, including the production of digital technologies. Sustainability has become a significant concern for businesses worldwide, pushing them to explore ways to integrate sustainable practices into their operations and address this issue. Digitization has emerged as an essential tool, with the Internet of Things (IoT) technology leading the way. Organizations can improve decision-making and enhance operational efficiency with IoT, but aligning its implementation with the United Nations’ Sustainable Development Goals is essential. Concepts like Industry 4.0 and Circular Economy principles have emerged to create sustainable business models, but their implementation faces various challenges. Businesses must adopt analytical methods and tools to support strategic planning. This study applies the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) method to identify twelve key challenges businesses face in this IoT adoption. A survey was used for gathering expert opinion from industry specialists working in the field of IoT for conducting advanced analytical techniques like Fuzzy Interpretive Structural Modeling (F-ISM) and Matrice d’Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) to highlight the most critical challenges, including loss of value appropriation, Low incentive to change, Less adoption of sustainable practices and Lack of interoperability. While IoT holds great promise for supporting sustainable development, the result highlights the urgent need for stakeholder collaboration to overcome these challenges and unlock its full potential. The findings of this study benefit organizations heavily dependent on digital services like IoT by providing them with a comprehensive framework for effectively implementing IoT towards sustainable development. •Propose a comprehensive Internet of Things (IoT) implementation model for sustainable development.•Identify the challenges organizations face during IoT adoption for sustainable development.•Use the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) method to identify these challenges.•Use Fuzzy Interpretive Structural Modeling (F-ISM) to understand the correlation between the identified challenges.•Use Matrice d’Impa