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Machine Learning (ML) Modeling, IoT, and Optimizing Organizational Operations through Integrated Strategies: The Role of Technology and Human Resource Management

Author

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  • Yixin Sun

    (Department of Computer Science and Engineering, Pai Chai University, 155-40 Baejae-ro, Daejeon 35345, Republic of Korea)

  • Hoekyung Jung

    (Department of Computer Science and Engineering, Pai Chai University, 155-40 Baejae-ro, Daejeon 35345, Republic of Korea)

Abstract

In the dynamic contemporary business environment, the efficient optimization of organizational operations is crucial for companies to maintain competitiveness and secure enduring success. To achieve this goal, organizations can leverage a range of elements including human resource management, the Internet of Things (IoT), technology, time management, employee training, development, and customer relationship management. Enhancing operations through these factors offers numerous benefits such as increased productivity, cost efficiency, better decision-making, work–life balance, heightened satisfaction among employees and customers, boosted revenue, improved competitiveness, and sustained success. This research employed a blended research methodology, encompassing quantitative surveys and qualitative interviews, to explore the effective application of these elements in optimizing organizational operations. Additionally, an artificial neural network (ANN) model was utilized to deepen the understanding of the relationships between key parameters and their impacts on organizational outcomes like productivity, efficiency, and competitiveness. The results indicated that technology had the most significant impact at 76.28%, underscoring the substantial influence of new technologies on organizational performance. Moreover, factors like human resource management, employee training and development, and customer relationship management also played significant roles in optimizing operations. The study identified various challenges to implementation, such as resistance to change among employees, lack of technical expertise, integration issues with legacy systems, and incomplete data, along with best practices to overcome these hurdles including regular performance evaluations, robust security measures, and personalized customer experiences. By adopting a holistic approach that integrates internal and external factors, this study offers valuable insights for organizations seeking to improve their operations, enhance productivity, and achieve their goals more efficiently. The findings emphasize the importance of a multifaceted strategy that harnesses technological advancements and efficient human resource management practices to propel organizational success in today’s fast-paced business landscape. Further research on the intricate interactions between these factors can provide additional guidance for organizations striving to enhance their performance and secure long-term competitive advantages.

Suggested Citation

  • Yixin Sun & Hoekyung Jung, 2024. "Machine Learning (ML) Modeling, IoT, and Optimizing Organizational Operations through Integrated Strategies: The Role of Technology and Human Resource Management," Sustainability, MDPI, vol. 16(16), pages 1-27, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6751-:d:1451488
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    References listed on IDEAS

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