Emotional Intelligence as a Predictor of Job Satisfaction and Work Performance among Medical Representatives

Abstract

Medical representatives operate at the intersection of pharmaceutical organizations, healthcare professionals and competitive markets. Their work requires sustained interpersonal interaction, persuasive communication, ethical product information, territory management and the regulation of emotional responses to rejection, workload pressure and performance targets. Emotional intelligence (EI), defined as the capacity to perceive, understand, use and regulate emotions, may therefore represent an important individual resource associated with job satisfaction and work performance. This paper develops and examines a framework in which EI predicts job satisfaction and work performance among medical representatives, while job satisfaction is considered a potential explanatory pathway between EI and performance. The framework integrates ability-based and trait-based perspectives with job demands–resources and conservation-of-resources reasoning. A proposed quantitative, explanatory, cross-sectional design is specified for medical representatives employed by pharmaceutical companies. EI is operationalised through self-emotional appraisal, others’ emotional appraisal, use of emotion and regulation of emotion. Job satisfaction is assessed through intrinsic and extrinsic facets, while performance is separated into task, contextual and adaptive dimensions. Because no primary dataset was provided, the numerical results are presented as a clearly labelled simulated demonstration using a hypothetical sample of 300 respondents. In this demonstration, EI is positively associated with job satisfaction (r = .46) and work performance (r = .51), while job satisfaction is positively associated with performance (r = .43). The illustrative regression model explains 34% of the variance in performance. These values are not empirical findings and must not be represented as such. The paper contributes a context-specific research model and a replicable methodology for testing the relationships with actual data. Managerial implications concern EI development, supportive supervision, realistic target-setting, ethical communication and performance assessment that combines sales indicators with professional conduct.