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Time lags, non-linearity and asymmetric effects in an extended service-profit chain

Gregory Strydom (Frizelle Sunshine Automotive Group, Southport, Australia)
Michael T. Ewing (Department of Marketing, Deakin University, Melbourne, Australia)
Campbell Heggen (Department of Accounting, Deakin University, Melbourne, Australia)

European Journal of Marketing

ISSN: 0309-0566

Article publication date: 14 May 2020

Issue publication date: 4 November 2020

511

Abstract

Purpose

This study aims to present an extended service-profit chain (SPC) framework for assessing service performance. This framework is then used to investigate non-linear and asymmetric links between service delivery investments and customer satisfaction, as well as time lags in organisational performance outcomes.

Design/methodology/approach

The study draws on panel data with repeated measures from a sample of automotive after sales service departments. Data collected comprises both objective and survey-based data, including operational inputs, productivity, service quality, service experience, behavioural intentions, customer retention and organisational performance.

Findings

Non-linear and asymmetric effects are identified, suggesting that customers’ evaluations of service performance are more sensitive to negative performance (dissatisfaction) than positive performance (satisfaction). Accordingly, focusing on attributes for which customers are experiencing negative performance first, and then allocating resources to attributes for which customers are experiencing positive performance, can be far more consequential for improving customer satisfaction.

Practical implications

From a practical perspective, the findings deepen current understanding of the relationships between service performance metrics. They also provide guidance for managers seeking to better deploy service resources to enhance service quality, customer satisfaction and customer retention to improve profitability over time.

Originality/value

Drawing on a unique and rich data set, this study provides a significant improvement on previous SPC frameworks by adding new dimensions identified in recent meta-analyses and addresses calls for more research into non-linear, asymmetric and longitudinal effects within the SPC.

Keywords

Acknowledgements

Michael T. Ewing is an extraordinary Professor in the Department of Marketing Management at the University of Pretoria.

Citation

Strydom, G., Ewing, M.T. and Heggen, C. (2020), "Time lags, non-linearity and asymmetric effects in an extended service-profit chain", European Journal of Marketing, Vol. 54 No. 10, pp. 2343-2363. https://doi.org/10.1108/EJM-12-2019-0906

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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