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This study aims to elucidate the dynamics of social media discourse during global health events, specifically investigating how users across different platforms perceive, react to and engage with information concerning such crises.

A mixed-method approach was employed, combining both quantitative and qualitative data collection. Initially, thematic analysis was applied to a data set of social media posts across four major platforms over a 12-month period. This was followed by sentiment analysis to discern the predominant emotions embedded within these communications. Statistical tools were used to validate findings, ensuring robustness in the results.

The results showcased discernible thematic and emotional disparities across platforms. While some platforms leaned toward factual information dissemination, others were rife with user sentiments, anecdotes and personal experiences. Overall, a global sense of concern was evident, but the ways in which this concern manifested varied significantly between platforms.

The primary limitation is the potential non-representativeness of the sample, as only four major social media platforms were considered. Future studies might expand the scope to include emerging platforms or non-English language platforms. Additionally, the rapidly evolving nature of social media discourse implies that findings might be time-bound, necessitating periodic follow-up studies.

Understanding the nature of discourse on various platforms can guide health organizations, policymakers and communicators in tailoring their messages. Recognizing where factual information is required, versus where sentiment and personal stories resonate, can enhance the efficacy of public health communication strategies.

The study underscores the societal reliance on social media for information during crises. Recognizing the different ways in which communities engage with, and are influenced by, platform-specific discourse can help in fostering a more informed and empathetic society, better equipped to handle global challenges.

This research is among the first to offer a comprehensive, cross-platform analysis of social media discourse during a global health event. By comparing user engagement across platforms, it provides unique insights into the multifaceted nature of public sentiment and information dissemination during crises.

This study aims to investigate the direct effect of the behavior-based sales control system on job outcomes: salesperson’s performance and turnover intentions. The current study also intends to integrate these two streams by conceptualizing work engagement as a mediating variable between behavior-based sales control systems and salespersons’ job outcomes in the pharmaceutical sales context.

Data was collected through multi-stage stratified random sampling from a sample of 619 salespersons working in 20 pharmaceutical firms (multinational and national) through self-administered questionnaires.

The structural equation model yielded results indicating that the behavior-based sales control system was positively related to salespersons’ work engagement and negatively to turnover intentions while the relationship between the behavior-based sales control system and salespersons’ job outcomes was mediated by work engagement.

Two relatively separate lines of investigation have appeared in academic literature. The first line centered on sales force control systems and salespersons’ related consequences, whereas the second line of investigation emphasizes work engagement and its consequences. Although both lines are important, a diminutive research effort has been made to join these two different lines of investigation in sales management, specifically, in the pharmaceutical context. Focusing on this, the current research explores the role of an unexplored construct of work engagement in a pharmaceutical sales context. Second, it addresses the need to identify additional mediating variables to clarify the inconsistent relationship between sales control systems and job outcomes, such as job performance and turnover intentions.