Asymmetric effects in customer satisfaction

2006 ◽  
Vol 33 (4) ◽  
pp. 1159-1163 ◽  
Author(s):  
Johann Füller ◽  
Kurt Matzler ◽  
Rita Faullant
2020 ◽  
Vol 77 ◽  
pp. 104006 ◽  
Author(s):  
Jian-Wu Bi ◽  
Yang Liu ◽  
Zhi-Ping Fan ◽  
Jin Zhang

2019 ◽  
Vol 11 (16) ◽  
pp. 4323 ◽  
Author(s):  
Yanchun Jin ◽  
Yoonseo Park ◽  
Jiaohui Yu

The effects of attribute performance on satisfaction have been widely addressed in the discussion on satisfaction. In traditional view, customer satisfaction should be enhanced by improving product or service attribute performance. However, as theoretical and empirical studies have shown, the linkage between attribute performance and overall satisfaction is asymmetric and nonlinear, which means that it is not a definite relationship between high performance of attribute and satisfaction. Regarding the research on delivering asymmetric effects, the Kano model was utilized extensively in the previous studies. But this method suffers from lacking a validity testing and failing to take account of the degree of attribute’s importance. To get a more effective access to measuring the asymmetric and nonlinear effects of attributes on customer satisfaction, this study presents an integrated approach which can express asymmetric effects through evaluating the significance of different attributes to satisfaction based on response surface analysis and importance grid analysis methods. In this paper, an empirical study on rural tourists’ satisfaction was undertaken using this integrated method. Furthermore, compared with the regression with a dummy variable method, this proposed approach shows more responsive to enhancing attribute performance and makes allowance for improving a certain target attribute in the customer satisfaction improvement process.


2020 ◽  
Vol 54 (10) ◽  
pp. 2343-2363 ◽  
Author(s):  
Gregory Strydom ◽  
Michael T. Ewing ◽  
Campbell Heggen

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.


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