The Impact of Industrial Internet and the Digital Economy on the Management and Development of Manufacturing Information Systems Triggering Digitization as IoT and Artificial Intelligence

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Abstract

Technology adoption is crucial to organizational performance in the fast-changing digital world. Due to their potential to boost efficiency, productivity, and competitiveness, disruptive technologies including data analytics, the Internet of Things (IoT), and information system integration have received attention. This study examined how IoT adoption, data analytics, and information system integration affect organizational efficiency, productivity, and competitive advantage. The study also examined how cybersecurity, cloud infrastructure, and organizational culture mediate the technology-adoption-performance relationship. Quantitative research was conducted using Amos. A diverse sampling of enterprises provided data. Structural equation modelling (SEM) examined direct and indirect impacts by analyzing variable connections. IoT usage, data analytics, and information system integration improved organizational efficiency, productivity, and competitive edge. The study also showed that cybersecurity and cloud infrastructure mediate technology adoption and organizational results. Organizational culture moderated the effect of technology adoption on performance. This study added to the technology adoption literature by examining how IoT adoption, data analytics capabilities, and information system integration affect organizational efficiency, productivity, and competitive advantage. Cybersecurity, cloud infrastructure as mediators and organizational culture as a moderator helped us understand technology adoption and performance results.

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APA

Li, Z., Li, Z., & Ren, Y. (2023). The Impact of Industrial Internet and the Digital Economy on the Management and Development of Manufacturing Information Systems Triggering Digitization as IoT and Artificial Intelligence. Journal of Information Systems Engineering and Management, 8(4). https://doi.org/10.55267/iadt.07.14038

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