Integrating Organizational Theory, Resource-Based View, and Big Data Culture to Improve Manufacturing Performance

The big data cultural backgrounds, prescriptive analytics, the theory of institutions, resource-based perspective, and manufacturing performance are all examined within the framework that is proposed in this article as a whole. The research highlights the significance of the massive data culture as a crucial facilitator of predictive analytics that can be used to boost industrial performance. The fundamental processes that mediate the link between big data cultural backgrounds, predictive analytics, and industrial performance are explained using the concept of institutions and resource-based viewpoint. The publication also emphasizes how organizational culture, leadership, and strategy alignment help to create a big data culture that makes it easier for manufacturers to implement predictive analytics. The proposed framework has significant implications for research and practise because it provides a thorough understanding of the interactions between big details culture, analytical forecasting, institutional theory, resource-based view, and manufacturing performance. This understanding can help businesses improve their data-driven capabilities and competitiveness.