We provide a comprehensive and user-friendly compendium of standards for the use and interpretation of structural equation models (SEMs). To both read about and do research that employs SEMs, it is necessary to master the art and science of the statistical procedures underpinning SEMs in an integrative way with the substantive concepts, theories, and hypotheses that researchers desire to examine. Our aim is to remove some of the mystery and uncertainty of the use of SEMs, while conveying the spirit of their possibilities.
The authors investigate how reward schemes of a loyalty program influence perceived value of the program and how value perception of the loyalty program affects customer loyalty. The results show that involvement moderates the effects of loyalty programs on customer loyalty. In high-involvement situations, direct rewards are preferable to indirect rewards. In low-involvement situations, immediate rewards are more effective in building a program's value than delayed rewards. Under high-involvement conditions, value perception of the loyalty program influences brand loyalty both directly and indirectly through program loyalty. Under low-involvement conditions, there is no direct effect of value perception on brand loyalty.
This study examines how loyalty influences the relationship between customer satisfaction (CS) and repurchase intention (RPI). Considering the effect of time, the study introduces adjusted expectations, which are expectations updated after consumption experience. The present study investigates the role of adjusted expectations in the CS-RPI link. With structural-equation analysis, the proposed model was tested in the family-restaurant setting. The results show that adjusted expectations can mediate the effect of CS on RPI. The results also indicate that processes underlying the CS-RPI link are different between low-loyalty and high-loyalty customers. Specifically, the transient route, which reflects the indirect path from CS to RPI via adjusted expectations, has a greater impact for nonloyals than for loyals. On the other hand, the chronic route, which represents the direct path from CS to RPI, has a greater impact for loyals than for nonloyals. CS is found to have no direct influence on RPI for low-loyalty customers.
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