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Sustainability Analysis of Enterprise Performance Management Driven by Big Data and Internet of Things

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  • Ying Yang

    (Business School, Beijing Normal University, Beijing 100088, China)

Abstract

Today’s society has entered the information technology era as early as possible. The Internet of Things (IoT) technology and big data (BD) technology are the products of this era and are also important features of the new era. Today, when various fields enter the era of great integration, the Internet of Things and BD analysis technology are of great significance to the development of traditional enterprises, and also herald the arrival of the era of intelligence. Performance management plays an important role in modern enterprise management, especially in small and medium-sized enterprises. Through the implementation of performance management, it can effectively promote the development of enterprises and enhance their vitality. Based on this, this paper discusses the application of the Internet of Things and its BD analysis technology in the enterprise performance management system (PMS) and the sustainability of this application. At the same time, this paper conducts relevant empirical analysis, and the results show that the standardized path coefficient value (FP) of BD capability to financial performance is 0.421. The p value of the significance test was 0.008, which was less than 0.05, indicating that BD capability has a significant impact on the FP of enterprises. The standardized path coefficient value of the IoT on FP was 0.387, the significance test p value was 0.007, and the p value was less than 0.05, indicating that the IoT has a significant impact on the FP of enterprises.

Suggested Citation

  • Ying Yang, 2023. "Sustainability Analysis of Enterprise Performance Management Driven by Big Data and Internet of Things," Sustainability, MDPI, vol. 15(6), pages 1-11, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4839-:d:1091813
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    References listed on IDEAS

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    1. Nachiappan Subramanian & Angappa Gunasekaran & Lin Wu & Tinghua Shen, 2019. "Role of traditional Chinese philosophies and new product development under circular economy in private manufacturing enterprise performance," International Journal of Production Research, Taylor & Francis Journals, vol. 57(23), pages 7219-7234, December.
    2. Thomas Niebel & Fabienne Rasel & Steffen Viete, 2019. "BIG data – BIG gains? Understanding the link between big data analytics and innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(3), pages 296-316, April.
    3. Rizwan Ullah Khan & Yashar Salamzadeh & Hiroko Kawamorita & Gabor Rethi, 2021. "Entrepreneurial Orientation and Small and Medium-sized Enterprises’ Performance; Does ‘Access to Finance’ Moderate the Relation in Emerging Economies?," Vision, , vol. 25(1), pages 88-102, March.
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    Cited by:

    1. Kiwon Lee & Suchul Lee, 2023. "Enhancing R&D Performance Management: A Case of R&D Projects in South Korea," Sustainability, MDPI, vol. 15(15), pages 1-14, July.
    2. Sinue A. Tovar-Ortiz & Pablo T. Rodriguez-Gonzalez & Rigoberto Tovar-Gómez, 2024. "Modeling the Impact of Global Warming on Ecosystem Dynamics: A Compartmental Approach to Sustainability," World, MDPI, vol. 5(4), pages 1-24, November.
    3. Andra-Teodora Gorski & Elena-Diana Ranf & Dorel Badea & Elisabeta-Emilia Halmaghi & Hortensia Gorski, 2023. "Education for Sustainability—Some Bibliometric Insights," Sustainability, MDPI, vol. 15(20), pages 1-17, October.

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