Linking service climate and customer perceptions of service quality: Tests of a causal model.

Benjamin N. Schneider, Susan Schoenberger White, Michelle C. Paul·1998·Journal of Applied Psychology

Abstract

A set of foundation issues that support employee work and service quality is conceptualized as a necessary but not sufficient cause of a climate for service, which in turn is proposed to be reflected in customer experiences. Climate for service rests on the foundation issues, but in addition it requires policies and practices that focus attention directly on service quality. Data were collected at multiple points in time from employees and customers of 134 branches of a bank and analyzed via structural equation modeling. Results indicated that the model in which the foundation issues yielded a climate for service, and climate for service in turn led to customer perceptions of service quality, fit the data well. However, subsequent cross-lagged analyses revealed the presence of a reciprocal effect for climate and customer perceptions. Implications of these results for theory and research are offered.

Cites (7)

  1. Intraclass correlations: Uses in assessing rater reliability.
    Shrout, Patrick E., Fleiss, Joseph L. · 1979 · Psychological Bulletin
  2. SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality
    Parasuraman, A., Berry, Leonard L., Zeithaml, Valarie A. · 1988 · Zenodo
  3. Servicescapes: The Impact of Physical Surroundings on Customers and Employees
    Bitner, Mary Jo · 1992 · Journal of Marketing
  4. A national customer satisfaction barometer: the Swedish experience
    Fornell, Claes · 1992 · Journal of Marketing
  5. Estimating within-group interrater reliability with and without response bias
    James, Lawrence R., Demaree, Robert G., Wolf, Gerrit · 1984 · Journal of Applied Psychology
  6. Levels issues in theory development, data collection and analysis
    Klein, Katherine J., Dansereau, Fred, Hall, Rosalie J. · 1994 · The Academy of Management Review
  7. Conceptualizing and Measuring Organizational and Psychological Climate: Pitfalls in Multilevel Research
    Glick, William H. · 1985 · The Academy of Management Review

Show all 7 references

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    Kozlowski, Steve W.J., Ilgen, Daniel R. · 2006 · Psychological Science in the Public Interest
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CoChat. (2026). Citation check: Linking service climate and customer perceptions of service quality: Tests of a causal model. https://app.cochat.ai/papers/10.1037//0021-9010.83.2.150
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Schneider, B. N., White, S. S., & Paul, M. C. (1998). Linking service climate and customer perceptions of service quality: Tests of a causal model. Journal of Applied Psychology. https://doi.org/10.1037//0021-9010.83.2.150

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