The Big data artificial intelligence and corporate social performance: The organizational innovation as Mediator

Abstract

Businesses are under increasing pressure to demonstrate their commitment to Corporate Social Performance (CSP) and fulfill the expectations of their many stakeholders in today's environment. The purpose of this research is to look into the relationship between CSP and Big Data Artificial Intelligence (BDAI), as well as the function of Organizational Innovation (OI) as a mediator in this connection. The Resource-Based View (RBV) paradigm is used in this study, which hypothesizes that BDAI has a positive influence on CSP, and that OI mediates the interaction between these two variables. The study also shows that the implementation of BDAI can allow organizations to collect and analyze huge volumes of data, which can lead to improvements in decision-making, efficiency, and social and environmental performance. The merger of big data analytics and artificial intelligence is referred to as BDAI. Furthermore, by establishing an innovative culture inside an organization and supporting the application of BDAI into the company's operations, OI has the ability to act as a mediator between BDAI and CSP. This study adds to the existing literature on the relationship between BDAI and CSP by shedding light on the significance of OI as a mediator within that framework. The study's conclusions could have far-reaching repercussions for businesses, government decision-makers, and academia. Businesses can improve their CSP by implementing BDAI and OI, and policymakers should encourage firms to utilize BDAI and OI to improve their social and environmental performance. By analyzing the impact of various factors on the link between BDAI, OI, and CSP, researchers can acquire a clearer understanding of the nature of this interaction