Analyzing the Influence of Social Media Engagement on English Language in Professional Communication Among Indian Professionals with Diverse Work Experience: An Interpretive Structural Modeling Analysis

Abstract

Social media platforms have shifted the communication paradigm by making it tougher to set apart personal and professional conversations. With an emphasis on professionals based in India with varied job experiences, this study explores how social media usage in professional communication affects one's fluency in English. This study set out to accomplish four goals. The first step is determining which social media elements impact English-language professional communication. The second step is to create a hierarchical framework that clarifies the relationships between these elements using Interpretive Structural Modeling (ISM). Third, use MICMAC analysis to categorize the driving and dependent components, differentiate their functions within the system, and finally, suggest a method for improving fluency in English in professional communication while considering social media usage. From Social Media Engagement (SME) to Language Proficiency Enhancement (LPC), the ISM model identified thirteen structured components and their respective functions as dependent or driving forces in the system. To better elucidate influential levels, MICMAC analysis has been used to apportion these components into "dependent," "independent," "linkage," and "autonomous" aspects. Eventually, techniques to enhance professional communication and language fluency were suggested.