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High patient satisfaction is not simply a customer service goal; it is an important dimension of quality and part of financial incentives and public reporting requirements. However, patient experience is often siloed within health system organizational charts and considered separately from quality and safety initiatives, instead of being seen predominantly as a “customer service” initiative. Representatives from 52 health care systems across the United States completed an online survey to explore both the processes and infrastructure hospitals employ to improve patient experience, and the metrics hospitals use to assess the quality of patient experience beyond patient satisfaction survey data. When asked about performance metrics beyond satisfaction, most hospitals or systems noted other metrics of the entire patient experience such as the rate of complaints or grievances and direct feedback from patient and family advisors. Additionally, respondents suggested that a broader definition of “quality of the patient experience” may be appropriate to encompass measures of access, clinical processes, and quality of care and patient safety outcomes. Almost all respondents that we surveyed listed metrics from these less traditional categories, indicating that performance improvement within the patient experience domain in these organizations is linked with other areas of hospital performance that rely on the same metrics, such as clinical quality and patient safety.

The purpose of the present research is to address the issue by conceptualizing artificial intelligence (AI) experience quality and its dimensions, and furthermore, to empirically test the relationships among AI experience quality, positive affective reactions, AI experience satisfaction and AI-seeking intention.

The data were collected from an AI community canteen in Shanghai. They were also analyzed using exploratory and confirmatory factor analyses (EFA and CFA) and structural equation modeling (SEM).

Four primary dimensions and 15 sub-dimensions of AI experience quality for community canteens were identified. The hypothesized paths between the higher-order constructs – AI experience quality, positive affective reactions, AI experience satisfaction and AI-seeking intention – were confirmed as well.

This is the first study to synthesize AI experience quality, positive affective reactions, AI experience satisfaction and AI-seeking intention in an AI restaurant setting.

Building on Stimulus-Organism-Response theory, the current study examines the influence of pickup service quality in buy-online pickup in-store service (BOPIS) on users' perceived relationship investment with the mediating role of users' perceived experience quality and relationship proneness. This research also demonstrates the subsequent impact of BOPIS users' perceived relationship investment on their relationship performance indicators, like their cross-buying behaviors (breadth), frequency of their purchase (depth) and longevity of their relationship (length) with the store. The moderating role of BOPIS users' service experience consciousness in a few proposed relationships was tested.

The research is descriptive, quantitative and cross-sectional investigation. The study employed a purposive sampling technique. It was conducted using data collected using a validated self-administered questionnaire from 786 Indian omnichannel shoppers who have used BOPIS services in the past. The proposed conceptual model was tested using Partial Least Squares-Structural Equation Modeling.

The results indicate that BOPIS users' perceived experience quality and relationship proneness positively mediate pickup service quality and perceived relationship investment. The users' perceived relationship investment subsequently significantly positively impacts different dimensions of their relationship performance with the store (breadth, depth and length). Additionally, BOPIS users' service experience consciousness has a significant negative moderating effect on the direct relationship between pickup service quality and different dimensions of relationship performance.

The study is conducted in the Indian population, where omnichannel retailing is still nascent.

This study addresses the need to investigate the relationship performance indicators of BOPIS users, like their cross-buying behaviors(breadth), frequency of their purchase(depth) and longevity of their relationship(length) with the store. This study is the first to show that pickup service quality might explain the relationship performance of BOPIS users through their perceived experience quality, relationship proneness and relationship investments. The moderating role of BOPIS users' service experience consciousness in a few proposed relationships was also tested for the first time.

This study primarily aims to investigate the indirect and direct effects of cultural heritage rejuvenation experience quality on tourists' revisiting intention through memorable tourism experiences and destination image in the context of cultural heritage tourism.

A structural equation modeling test with maximum likelihood estimation was used to test structural relationships between variables in the proposed model using the responses of 461 participants.

The results indicated that the cultural heritage rejuvenation experience quality exerted a significant positive impact on memorable tourism experiences. Destination image and memorable tourism experiences positively correlated with tourists' revisiting intention. Destination image and memorable tourism experiences partially mediated the correlation between cultural heritage rejuvenation experience quality and revisiting intention.

The study shows that it is meaningful to include memorable tourism experiences and destination image in tourism destination quality–loyalty models and confirms that the cultural heritage rejuvenation experience quality should be viewed as crucial aspects of marketing strategies aimed at improving memorable tourism experiences, destination image, and revisiting intention.

The purpose of this paper is to verify the differences of the influence of customer experience quality on brand equity, brand trustworthiness, perceived quality, perceived risk and purchase intention of franchise customers and non-franchise customers.

After developing two questionnaires, the authors collected 523 responses from Brazilian franchise users (Questionnaire 1) and 574 of non-franchise users (Questionnaire 2). The authors proceed to a confirmatory factor analysis, based on covariance (CB-SEM). In order to compare the results between franchises and non-franchises, the authors have performed a multi-group analysis with support of AMOS.

The results show that customer experience quality of the franchise customers tends to result in a better purchase intention, giving indications of better quality and brand trustworthiness when compared to non-franchises. This comparison shows indications of the competitive advantage of franchises over non-franchises, justifying the investments that market companies have been making in the development of the customer experience quality.

The research contributes to the understanding of the impact of the customer experience quality on brand equity, brand trustworthiness, perceived quality, perceived risk and purchase intention that directly affects the performance of the franchises, empirically investigating the customer experience quality in the context of franchises using the adapted EXQ scale. Complementarily, it is compared with non-franchises to observe the differences between them.

Revolutionary changes are happening in retail, and the term “retail apocalypse” reflects these dramatic changes. As a growing number of traditional brick-and-motor retailers are closing, the aim of this study is to understand and test the dimensions of specific store and consumer factors that are driving this shift towards non-traditional retail marketplaces (e.g. pop-up stores, fashion trucks), factors that drive consumer loyalty (i.e. re-patronage intentions) and the mediating role of shopping enjoyment in this context.

This study used a consumer panel (n = 237) of previous shoppers of non-traditional retailers. Utilising exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), this study identifies possible store and consumer factors that are associated with consumers' patronage of non-traditional retailers. Based on results, we propose a model for non-traditional retail shopping behaviour.

EFA revealed that quality of personal experience and consumer curiosity were dominant factors explaining variance. Key findings revealed that in-store factors (in-store ambiance, quality and value of products) and consumer factors (consumer curiosity, quality consciousness) influence consumers' re-patronage intentions. This highlights the importance of maintaining quality elements in shopping experiences. Shopping enjoyment was found to mediate relationships, indicating that while not all factors directly impact loyalty, it can be enhanced through pleasurable shopping experiences.

Our findings help retailers understand which factors are driving this dramatic change in consumer behaviour so they may develop better strategies to attract and retain customers. Retailers need to highlight product quality and in-store atmosphere and spark consumers' quality consciousness and curiosity to enhance consumer loyalty.

Despite the rise in popularity, this is the first study to investigate non-traditional retailers comprehensively.

To test the effect of experience quality on customer perceived value and customer satisfaction and its impact on customer loyalty to the visitors of natural nuanced outdoor cafés in the hilly areas of Joyo Agung, Malang.

This study uses four variables, namely experience quality, customer perceived value, customer satisfaction, and customer loyalty. The population used in this research was all customers or visitors who buy and enjoy the products and services provided by the natural outdoor cafés in Malang. This study used structural equation modeling (SEM) as inferential statistical technique.

1) Quality experience has a significant effect on customer perceived value, customer satisfaction, and customer loyalty; 2) customer perceived value has a significant effect on customer satisfaction and customer loyalty; and 3) customer satisfaction has a significant effect on customer loyalty.

Based on the results of previous research and the phenomenon that has been described previously, the research gaps found in this study are: (1) the relationship between experience quality and customers’ perceived values. (2) There are differences in the relationship between experience quality and customer satisfaction found in the research, which examines the effect of experience quality on customer loyalty. (3) Experience quality and customer loyalty variables still differ in the research concerning the effect of experience quality on customer loyalty. (4) The influence of customer satisfaction and customer loyalty is still different in the research results regarding the effect of customer satisfaction on customer loyalty.

The purpose of this paper is to determine the relative influence of the different domains of healthcare quality from the Care Experience Feedback Improvement Tool (CEFIT) and identify key predictors of healthcare quality from the patients’ perspective. Measurement is necessary to determine whether the quality of healthcare is improving. The CEFIT was developed as a brief measure of patient experience. It is important to determine the relative influence of the different domains of healthcare quality to further clarify how the CEFIT can be used and identify key predictors of healthcare quality from the patients’ perspective.

In sum, 802 people with a healthcare experience during the previous 12 months were telephoned to complete the CEFIT questions and an additional 11-point global rating of patient experience. To estimate the influence of different domains of healthcare quality on patient overall ratings of quality of healthcare experience, the authors regressed the overall rating of patient experience with each component of quality (safety, effectiveness, timely, caring, enables system navigation and person-centred).

The authors found that all of the domains of the CEFIT influenced patient experience ratings of healthcare quality. Specifically, results show the degree of influence, the impact of demographics and how high scores for overall rating of patient experience can be predicted.

The findings suggest that all of the CEFIT domains are important in terms of capturing the wholeness of the patient experience of healthcare quality to direct local quality improvement.

The purpose of this paper is to examine the role of low quality performance appraisals (PA) on three human resource management outcomes (job satisfaction, organisational commitment and intention to quit).

Using data from 2,336 public sector employees clusters of PA experiences (low, mixed and high) were identified. Regression analysis was then employed to examine the relationship between low quality PA experiences and job satisfaction, organisational commitment and intention to quit.

Employees with low quality PA experiences (relative to those with mixed and high quality PA experiences) were more likely to be dissatisfied with their job, be less committed to the organisation and more likely to be contemplating leaving the organisation.

The data were collected in a large public sector research organisation where the results of the appraisal were linked to pay increments. Further research is needed to determine the applicability of the results to private sector employees.

The quality of the PA experience varies and a low quality experience results in lower job satisfaction and organisational commitment and higher quit intentions. The challenge for human resource (HR) practitioners is to decide whether the allocation of additional resources to ensure that all employees have a uniformly high quality PA experience is a worthwhile investment.

Research has tended to focus on the relationship between a single feature of a PA process and HR outcomes. Organisations need to acknowledge the importance of the overall PA experience when evaluating its consequences for HRM outcomes.

Adopting the brand resonance approach, this research aimed to reveal the effect of emotional (perceived quality) and rational (brand trust) factors between brand experience and brand loyalty.

This article uses the brand resonance model to examine the above-mentioned relationship. The sample of the study consisted of 385 sports consumers between the ages of 18 and 65 years. An online survey was used to collect data and surveys were delivered to sports consumers via social media. Using SmartPLS 3.0 software, a partial least squares structural equation modeling analysis was conducted in this study.

The results support the hypotheses and demonstrate the importance of quality and trust in building customer loyalty for companies in the sports industry. Brand experience has a positive direct effect on perceived quality, brand trust and brand loyalty. It has been revealed that there is an important intermediary role of perceived quality and brand trust that manages the relationship between customers' brand experience and brand loyalty.

The findings of this study are essential for brands that want to develop and are included in the sports industry in the online shopping environment, which increases with the development of technology to create long-term loyalty in customers.

It reveals two mediating roles in the relationship between brand experience and brand loyalty, namely perceived quality and brand trust. These research results help to understand the processes of shaping the loyalty of sports consumers towards sports brands. Unlike previous studies, it examines this relationship in the sports industry by adding new mediator variables and contributes to the development of the model.