Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations

Pei Ling Wu, Shih Shuo Yeh, Tzung Cheng Huan, Arch G. Woodside

研究成果: Article同行評審

343 引文 斯高帕斯(Scopus)

摘要

Recognizing Gigerenzer's (1991) dictum that scientists' tools are not neutral (tools-in-use influence theory formulation as well as data interpretation), this article reports theory and examines data in ways that transcend the dominant logics for variable-based and case-based analyses. The theory and data analysis tests key propositions in complexity theory: (1) no single antecedent condition is a sufficient or necessary indicator of a high score in an outcome condition; (2) a few of many available complex configurations of antecedent conditions are sufficient indicators of high scores in an outcome condition; (3) contrarian cases occur, that is, low scores in a single antecedent condition associates with both high and low scores for an outcome condition for different cases; (4) causal asymmetry occurs, that is, accurate causal models for high scores for an outcome condition are not the mirror opposites of causal models for low scores for the same outcome condition. The study tests and supports these propositions in the context of customer assessments (n = 436) of service facets and service outcome evaluations for assisted temporary-transformations of self via beauty salon and spa treatments. The findings contribute to advancing a nuanced theory of how customers' service evaluations relate to their assessments of overall service quality and intentions to use the service. The findings support the need for service managers to be vigilant in fine-tuning service facets and service enactment to achieve the objective of high customer retention.

原文English
頁(從 - 到)1647-1670
頁數24
期刊Journal of Business Research
67
發行號8
DOIs
出版狀態Published - 2014 8月

All Science Journal Classification (ASJC) codes

  • 行銷

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