Beyond Data Analytics and Hybrid Wireless Networks in Cloud Services-Oriented Enterprises

Abstract

With rapid digital transformation, it is becoming critical to apply emerging technologies in improving the management of organizational data and competitiveness by integrating artificial intelligence (AI), Internet of things (IoT), cloud computing, and 5G networks. This paper presents the impact of adoption of AI-based analytics, internet of things in hybrid networks, cloud computing and 5G technology on Data Integration Quality and Security (DIQS) and subsequent effect on Enterprise Capabilities (EC) in cloud services-based businesses. The empirical results of PLS-SEM, based survey data of 410 managers, indicate that technological adoption makes a significant contribution to DIQS, which subsequently leads to efficiency, scalability, and security of the enterprise. Moreover, organizational size (OS) does moderate the DIQS-EC relationship, which implies that the larger firms have greater general profit in using data integration strategies to enhance the quality of information. The research is an addition to the literature on digital transformation by providing a multidimensional parameter, which connects technology adoption with development of enterprise capacity. Organizations that seek to make use of the emerging technologies to enhance data governance and operational excellence are given practical implications. Future studies are to focus on the formulation of how regulatory frameworks and cybersecurity policies continue to influence the building of enterprise capability.