Measuring the antecedents of e-loyalty and the effect of switching costs on website

The role of switching cost in the e-service recovery framework among banking customers

Purpose

The emergence of tech-driven initiatives in retail banking has created a vast spectrum of system-related service failures; hence, e-service recovery quality is of prime importance to banks to ensure e-service recovery satisfaction. However, e-service satisfaction is dependent on the ease of moving from one service provider to the other; thus, switching costs assume great significance. This study aims to probe the moderating role of switching cost on e-service recovery satisfaction by exploring e-service recovery quality antecedents.

Design/methodology/approach

A measurement model is suggested in the contextual settings of the Indian banking scenario and is estimated using structural equation modeling. Responses from 399 e-banking customers, who had experienced a service failure, were sought using a five-point Likert scale.

Findings

The result affirms that “recovery expectation” is the most significant predictor of e-service recovery satisfaction, and that switching cost moderates the relation between e-service recovery quality and e-service recovery satisfaction.

Practical implications

The study highlights the high relevance of switching costs in the e-banking context and emphasizes investment in marketing strategies and campaigns to do away with switching intentions. It also highlights the relevance of recovery expectations as an antecedent of e-service recovery quality and thus stresses the need to satisfactorily address the same in the e-service recovery process.

Originality/value

This study contributes to the e-service recovery satisfaction literature in the banking context by empirically validating the moderating role of switching cost. It also identifies the critical antecedents of banking e-service recovery quality.

Application of Revised Importance–Performance Analysis to Investigate Critical Service Quality of Hotel Online Booking

This study integrates the three-factor theory and Importance–Performance Analysis (IPA) into a three-dimensional importance–performance analysis (3-D IPA) approach to identify the critical service quality attributes for hotel online booking. A seven-point Likert-type scale of service quality measurement was designed in the survey and the participants (foreign independent tourists) were randomly selected at Taoyuan International Airport, Taiwan. A total of 453 participants were identified. The classification of the factors was based on the explicit importance, while the implicit importance was measured with the relationship of satisfaction by using the ordered probit model. The results, compared to the traditional method of partial correlation analysis, were different in the dimensions of Fulfillment and Responsiveness, Safety and Security, Website Functionality, and Customer Relationships. In conclusion, this study broadens the perspective of research method and improves the performance evaluation of e-service quality attributes. The empirical results provide recommendations and policy implications for resource allocation of hotel management.

Developing and validating five-construct model of customer satisfaction in beauty and cosmetic E-commerce

Grounded on the American Customer Satisfaction Framework (ACSF) of Bryant (1995), the European Customer Satisfaction Framework Model (ECSF) of Anderson and Fornell (2000), and Eleven-factor Customer Satisfaction Model of Hokanson (1995), this study develops reliable and valid five constructs of customer satisfaction theoretical model and build up a questionnaire in the unique context of Beauty and Cosmetic Online Shopping in the Vietnamese market. More specifically, we identified five main constructs including 5 implementation constructs (i.e., online shopping experience, customer service, external incentives, security/privacy, and personal characteristics), and one outcome construct (i.e., customer satisfaction). A detailed questionnaire was then developed with items for these constructs along with the questions on the personal characteristics of the respondents. The questionnaire was sent to randomly consumers via online channels including Facebook. The target participants are Vietnamese people who have experience in shopping online products like beauty and cosmetics. Based on 334 full responses have been received, we use Exploratory Factor Analysis (EFA) to test for 167 observations to ensure that all items in each scale reflected sufficiently the scope of each construct. This technique helps to identify the underlying dimensions of consumer satisfaction. Furthermore, we also employ Confirmatory Factor Analysis (CFA) to validate the constructs and items in questionnaire. To do this, we have used the sample of 167 responses. Finally, together with results from SEM models, our study contributes to providing a reliable and valid questionnaire which fully reflect for our self-constructed theoretical model of five constructs including Online shopping experience (OSE), External incentives (EI), Seller service (SS), and Security/privacy (SP), as well as personal characteristics (PC).