Burnout in the Service Industry: A Systematic Review of Conceptualization, Measurement, Theoretical Frameworks, and Empirical Patterns
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Objective: This systematic review examined how burnout has been conceptualized, measured, and theoretically explained in service-oriented organizational contexts, and identified its main antecedents, mediators, moderators, and consequences.
Methods and Materials: Following PRISMA 2020 guidelines, studies were identified through searches in Scopus, Web of Science, and EBSCO. Peer-reviewed English-language journal articles published between 2001 and 2023 were included if they examined burnout in the service industry or service-oriented work contexts. From 241 initial records, duplicates and irrelevant records were removed, 87 full texts were assessed, and 20 studies met the final inclusion criteria. Data were extracted on definitions, measurement dimensions, theoretical frameworks, research contexts, methods, antecedents, mediators, moderators, and outcomes. Findings were synthesized thematically.
Findings: Burnout was most often conceptualized using the Maslach multidimensional model, which includes emotional exhaustion, depersonalization or cynicism, and reduced personal accomplishment. Alternative models included the two-dimensional exhaustion–disengagement model and a five-dimensional burnout model. Nineteen studies used quantitative designs, and one used a qualitative design. The most frequent theoretical frameworks were the Conservation of Resources Theory and the Job Demands–Resources Model. Key antecedents included job demands and resources, role stress, emotional labor, personality traits, relational factors, workplace bullying, abusive supervision, and customer injustice. Burnout was associated with turnover intention, absenteeism, disengagement, employee silence, reduced performance, lower productivity, interpersonal deviance, and poorer psychological well-being.
Conclusion: Burnout in the service industry is a multidimensional and theoretically fragmented phenomenon. Future studies should strengthen conceptual clarity, measurement consistency, longitudinal evidence, and cross-sector comparisons.
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