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Enhancing Efficiency in Sustainable IoT Enterprises: Modeling Indicators Using Pythagorean Fuzzy and Interval Grey Approaches

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  • Mimica R. Milošević

    (Faculty of Information Technologies, University Alfa BK, Palmira Toljatija 3, 11000 Belgrade, Serbia)

  • Miloš M. Nikolić

    (Faculty of Businessand Law, MB University, Teodora Drajzdera 27, 11000 Belgrade, Serbia)

  • Dušan M. Milošević

    (Department of Mathematics, Faculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 4, 18104 Niš, Serbia)

  • Violeta Dimić

    (Faculty of Information Technologies, University Alfa BK, Palmira Toljatija 3, 11000 Belgrade, Serbia)

Abstract

“The Internet of Things” is a relatively new idea that refers to objects that can connect to the Internet and exchange data. The Internet of Things (IoT) enables novel interactions between objects and people by interconnecting billions of devices. While there are many IoT-related products, challenges pertaining to their effective implementation, particularly the lack of knowledge and confidence about security, must be addressed. To provide IoT-based enterprises with a platform for efficiency and sustainability, this study aims to identify the critical elements that influence the growth of a successful company integrated with an IoT system. This study proposes a decision support tool that evaluates the influential features of IoT using the Pythagorean Fuzzy and Interval Grey approaches within the Analytical Hierarchy Process (AHP). This study demonstrates that security, value, and connectivity are more critical than telepresence and intelligence indicators. When both strategies are used, market demand and information privacy become significant indicators. Applying the Pythagorean Fuzzy approach enables the identification of sensor networks, authorization, market demand, and data management in terms of importance. The application of the Interval Grey approach underscores the importance of data management, particularly in sensor networks. The indicators that were finally ranked are compared to obtain a good coefficient of agreement. These findings offer practical insights for promoting sustainability in enterprise operations by optimizing IoT infrastructure and decision-making processes.

Suggested Citation

  • Mimica R. Milošević & Miloš M. Nikolić & Dušan M. Milošević & Violeta Dimić, 2025. "Enhancing Efficiency in Sustainable IoT Enterprises: Modeling Indicators Using Pythagorean Fuzzy and Interval Grey Approaches," Sustainability, MDPI, vol. 17(15), pages 1-30, August.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:15:p:7143-:d:1719147
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    1. Inaki Maulida Hakim & Moses Laksono Singgih & I Ketut Gunarta, 2023. "Critical Success Factors for Internet of Things (IoT) Implementation in Automotive Companies, Indonesia," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    2. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
    3. Jorge Tarifa-Fernández & Ana María Sánchez-Pérez & Salvador Cruz-Rambaud, 2019. "Internet of Things and Their Coming Perspectives: A Real Options Approach," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    4. Guanghui Yuan & Zhiqiang Liu & Yaqiong Wang & Dongping Pu, 2023. "Market Demand Optimization Model Based on Information Perception Control," Mathematics, MDPI, vol. 11(3), pages 1-16, February.
    5. Ly, Pham Thi Minh & Lai, Wen-Hsiang & Hsu, Chiung-Wen & Shih, Fang-Yin, 2018. "Fuzzy AHP analysis of Internet of Things (IoT) in enterprises," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 1-13.
    6. Jintao Wu & Junsong Chen & Wenyu Dou, 2017. "The Internet of Things and interaction style : the effect of smart interaction on brand attachment," Post-Print hal-02312314, HAL.
    7. Mimica R. Milošević & Dušan M. Milošević & Dragan M. Stević & Ana D. Stanojević, 2019. "Smart City: Modeling Key Indicators in Serbia Using IT2FS," Sustainability, MDPI, vol. 11(13), pages 1-28, June.
    8. Rana Muhammad Zulqarnain & Xiao Long Xin & Imran Siddique & Waseem Asghar Khan & Mogtaba Ahmed Yousif, 2021. "TOPSIS Method Based on Correlation Coefficient under Pythagorean Fuzzy Soft Environment and Its Application towards Green Supply Chain Management," Sustainability, MDPI, vol. 13(4), pages 1-24, February.
    9. Dijkman, R.M. & Sprenkels, B. & Peeters, T. & Janssen, A., 2015. "Business models for the Internet of Things," International Journal of Information Management, Elsevier, vol. 35(6), pages 672-678.
    10. Edward Oughton, 2018. "Towards 5G: scenario-based assessment of the future supply and demand for mobile telecommunications infrastructure," Working Papers 2017/04 (revised), Cambridge Judge Business School, University of Cambridge.
    11. Rushan Ziatdinov & Madhu Sudhan Atteraya & Rifkat Nabiyev, 2024. "The Fifth Industrial Revolution as a Transformative Step towards Society 5.0," Societies, MDPI, vol. 14(2), pages 1-15, February.
    12. Dragiša Stanujkić & Darjan Karabašević & Gabrijela Popović & Predrag S. Stanimirović & Muzafer Saračević & Florentin Smarandache & Vasilios N. Katsikis & Alptekin Ulutaş, 2021. "A New Grey Approach for Using SWARA and PIPRECIA Methods in a Group Decision-Making Environment," Mathematics, MDPI, vol. 9(13), pages 1-16, July.
    13. Mitsuhiro Fukuzawa & Ryosuke Sugie & Youngwon Park & Jin Shi, 2022. "An Exploratory Case Study on the Metrics and Performance of IoT Investment in Japanese Manufacturing Firms," Sustainability, MDPI, vol. 14(5), pages 1-21, February.
    14. In Lee, 2020. "Internet of Things (IoT) Cybersecurity: Literature Review and IoT Cyber Risk Management," Future Internet, MDPI, vol. 12(9), pages 1-21, September.
    15. Oughton, Edward & Frias, Zoraida & Russell, Tom & Sicker, Douglas & Cleevely, David D., 2018. "Towards 5G: Scenario-based assessment of the future supply and demand for mobile telecommunications infrastructure," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 141-155.
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