The present analysis examines the elements that influence the intention to adopt Social Customer Relationship Management (S-CRM) systems in a tech-wise transformative context, using a conceptual model that includes the Technology Acceptance Model (TAM), the Theory of Planned Behaviour, and findings on social networks. structural equation modelling (SEM) was used to analyze the data collected from Survey. Firm intention to use S-CRM systems was revealed as a very strong indicator of actual use and was directly linked to improving business performance. In adopting S-CRM systems there were positive effects from perceived usefulness, informational quality and customer query satisfaction on S-CRM adoption. Conversely, privacy concerns and security risks were negative indicators, with resistance to change negatively impacting behavioral intention to adopt S-CRM systems as well. The study also highlights the importance of user innovativeness, and the need to ensure user concerns are addressed to improve S-CRM in the future. One limitation is that only cross-sectional analysis was used in this research timeline; longitudinal monitoring could contribute to develop future thoughts about S-CRM long-term adoption behaviors. The findings of this research could provide practical implications for organizations to make recommendations for tailored strategies that can improve S-CRM adoption and operational effectiveness within changing digital landscapes.