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Internet of Things and Distributed Computing Systems in Business Models

Author

Listed:
  • Albérico Travassos Rosário

    (The Research Unit on Governance, Competitiveness and Public Policies (GOVCOPP), Universidade Europeia, 1200-649 Lisbon, Portugal)

  • Ricardo Raimundo

    (ISEC Lisboa, Instituto Superior de Educação e Ciências (Superior Lisbon Institute of Education and Sciences), 1750-142 Lisbon, Portugal
    IADE-Faculdade de Design, Tecnologia e Comunicação, Universidade Europeia, 1200-649 Lisbon, Portugal)

Abstract

The integration of the Internet of Things (IoT) and Distributed Computing Systems (DCS) is transforming business models across industries. IoT devices allow immediate monitoring of equipment and processes, mitigating lost time and enhancing efficiency. In this case, manufacturing companies use IoT sensors to monitor machinery, predict failures, and schedule maintenance. Also, automation via IoT reduces manual intervention, resulting in boosted productivity in smart factories and automated supply chains. IoT devices generate this vast amount of data, which businesses analyze to gain insights into customer behavior, operational inefficiencies, and market trends. In turn, Distributed Computing Systems process this data, providing actionable insights and enabling advanced analytics and machine learning for future trend predictions. While, IoT facilitates personalized products and services by collecting data on customer preferences and usage patterns, enhancing satisfaction and loyalty, IoT devices support new customer interactions, like wearable health devices, and enable subscription-based and pay-per-use models in transportation and utilities. Conversely, real-time monitoring enhances security, as distributed systems quickly respond to threats, ensuring operational safety. It also aids regulatory compliance by providing accurate operational data. In this way, this study, through a Bibliometric Literature Review (LRSB) of 91 screened pieces of literature, aims at ascertaining to what extent the aforementioned capacities, overall, enhance business models, in terms of efficiency and effectiveness. The study concludes that those systems altogether leverage businesses, promoting competitive edge, continuous innovation, and adaptability to market dynamics. In particular, overall, the integration of both IoT and Distributed Systems in business models augments its numerous advantages: it develops smart infrastructures e.g., smart grids; edge computing that allows data processing closer to the data source e.g., autonomous vehicles; predictive analytics, by helping businesses anticipate issues e.g., to foresee equipment failures; personalized services e.g., through e-commerce platforms of personalized recommendations to users; enhanced security, while reducing the risk of centralized attacks e.g., blockchain technology, in how IoT and Distributed Computing Systems altogether impact business models. Future research avenues are suggested.

Suggested Citation

  • Albérico Travassos Rosário & Ricardo Raimundo, 2024. "Internet of Things and Distributed Computing Systems in Business Models," Future Internet, MDPI, vol. 16(10), pages 1-27, October.
    • Handle: RePEc:gam:jftint:v:16:y:2024:i:10:p:384-:d:1503573
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    References listed on IDEAS

    as
    1. Mateusz Lewandowski, 2016. "Designing the Business Models for Circular Economy—Towards the Conceptual Framework," Sustainability, MDPI, vol. 8(1), pages 1-28, January.
    2. Gousia Habib & Sparsh Sharma & Sara Ibrahim & Imtiaz Ahmad & Shaima Qureshi & Malik Ishfaq, 2022. "Blockchain Technology: Benefits, Challenges, Applications, and Integration of Blockchain Technology with Cloud Computing," Future Internet, MDPI, vol. 14(11), pages 1-22, November.
    3. Albérico Travassos Rosário & Joana Carmo Dias, 2023. "The New Digital Economy and Sustainability: Challenges and Opportunities," Sustainability, MDPI, vol. 15(14), pages 1-23, July.
    Full references (including those not matched with items on IDEAS)

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