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This paper aims to explore a complex combination of four realms of the experience economy in formulating memories and satisfaction among festival visitors by using augmented reality (AR), thus engaging visitors in the physical science experience. This study also identifies necessary conditions to achieve desired responses from visitors.

Asymmetrical modelling with fuzzy set qualitative comparative analysis (fsQCA) was used to investigate causal recipes of two configurations of the experience economy and evaluation of experience leading to both high and low scores from visitor engagement. Necessary condition analysis was applied to examine necessary predictors in visitor engagement. The proposed configuration model was tested by using data obtained from visitors to science festivals in the UK.

Five causal recipes explained the complex conditions in which visitors were more likely engaged in AR. Aesthetics, education, entertainment and satisfaction were necessary for high engagement among festival visitors.

The results from fsQCA and analyses of necessary conditions help festival organizers improve visitor satisfaction and engagement in a memorable AR experience.

This empirical study deepens current festival understanding of how visitors experience AR by exploring combinations of complex configurations of the experience economy and evaluations of visitor experience based on memories and satisfaction. Unlike symmetrical approaches, asymmetrical modelling by using fsQCA can explore recipes for both high and low scores of visitor satisfaction and engagement. This is the first empirical study investigating necessary predictors of festival visitor behaviour.

Business models describe how value is delivered to customers/consumers. When considering sport tourism, the focus on delivering value shifts to the sport experiences being offered in a destination. The purpose of this paper is to fulfil a void that links concept of business models to the area of sport tourism management by integrating notions of experience.

To merge these areas, a review of literature identifies key approaches and missing links. This paper determines research gaps to propose a new holistic research agenda for sport services – specifically relevant to sport tourism.

This paper addresses types of sport experiences, economic dimensions of experiences and business models to determine capabilities of delivering different types of experiences. These inter-related fields of analysis represent a platform for both academic and business stakeholders to shape the future of delivering sport tourism experiences based on seeking a wider range of motivations in a specific spatial and activity context.

A series of research questions and proposals are identified to support the need for future research. Extending understandings of experience in relation to consumer demand has the potential to result in practical elements of sought after experiences being incorporated into business models – aimed at delivering service value.

Accommodations providers in the sharing economy are increasingly competing with the hotel industry vis-à-vis the guest experience. Additionally, experience-related research remains underrepresented in the hospitality and tourism literature. This paper aims to develop and test a model of experiential consumption to provide a better understanding of an emerging phenomenon in the hospitality industry. In so doing, the authors also expand Pine and Gilmore’s original experience economy construct.

Using data from a survey of 630 customers who stayed at a hotel or an Airbnb in the previous three months, the authors performed a multi-step analysis procedure centered on structural equation modeling to validate the model.

The authors demonstrate that the dimensions of serendipity, localness, communitas and personalization represent valuable additions to Pine and Gilmore’s original experience economy construct. Airbnb appears to outperform the hotel industry in the provision of all experience dimensions. The authors further define the pathways that underlie the creation of extraordinary, memorable experiences, which subsequently elicit favorable behavioral intentions.

The findings suggest the need for the hotel industry to adopt a content marketing paradigm that leverages various dimensions of the experience economy to provide customers with valuable and relevant experiences. The industry must also pay greater attention to its use of branding, signage and promotional messaging to encourage customers to interpret their experiences through the lens of these dimensions.

The study expands a seminal construct from the field of services marketing in the context of the accommodations industry. The Accommodations Experiencescape is offered as a tool for strategic experience design. The study also offers a model of experiential consumption that explains customers’ experiences with accommodations providers.

User experience is key for measuring and improving the quality of services, especially in high personal and relation-intensive sectors, such as healthcare. However, evidence on whether and how the organizational model of healthcare service delivery can affect the patient experience is at an early stage. This study investigates the relationship between healthcare service provision models and patient experience by focusing on the nursing care delivery.

65 nurses' coordinators were involved to map the nursing models adopted in the healthcare organizations of in an Italian region, Tuscany. This dataset was merged with patient experience measures reported by 9,393 individuals discharged by the same organizations and collected through a Patient-Reported Experience Measures Observatory. The authors run a series of logistic regression models to test the relationships among variables.

Patients appreciate those characteristics of care delivery related to a specific professional nurse. Having someone who is in charge of the patient, both the reference nurse and the supervisor, makes a real difference. Purely organizational features, for instance those referring to the team working, do not significantly predict an excellent experience with healthcare services.

Different features referring to different nursing models make the difference in producing an excellent user experience with the service.

These findings can support managers and practitioners in taking decisions on the service delivery models to adopt. Instead of applying monolithic pure models, mixing features of different models into a hybrid one seems more effective in meeting users' expectations.

This is one of the first studies on the relationship between provision models of high-contact and relational-intensive services (the healthcare services) and users' experience. This research contributes to the literature on healthcare service management suggesting to acknowledge the importance of hybridization of features from different, purely theoretical service delivery models, in order to fit with providers' practice and users' expectations.

• This is one of the first studies on the relationship between provision models of nursing care and patient experience.

• Healthcare services' users appreciate service delivery characteristics identified with “be cared by,” or in other words with having a reference nurse.

• Nursing models' features that relate to the organizations and that providers tend to judge as professionalizing and evolutive, such as team working, appear not key in relation to patient experience.

• Pure models of service delivery are theoretically useful, but hybrid models can better meet users' expectations.

This is one of the first studies on the relationship between provision models of nursing care and patient experience.

Healthcare services' users appreciate service delivery characteristics identified with “be cared by,” or in other words with having a reference nurse.

Nursing models' features that relate to the organizations and that providers tend to judge as professionalizing and evolutive, such as team working, appear not key in relation to patient experience.

Pure models of service delivery are theoretically useful, but hybrid models can better meet users' expectations.

The purpose of this paper is to propose a conceptual framework of customer expectation management and a reference model of service experience design which are regarded as the basic foundation to model the processes of service experience design for service operation strategies simulating and testing by employing a system dynamics approach.

System dynamics is the key approach which includes causal loop diagrams and stock and flow diagrams used to build the reference model of experience design. Simulations of the processes of service experience design have also been implemented by Vensim^®.

It is found that the proposed reference model involving customer expectation management can successfully capture the key elements of the service experience design within service operation strategies. The system dynamics approach can effectively enable a macro viewpoint of service experience design for service operation strategies and policies.

With the proposed reference model of service experience design and the system dynamics modeling approach, service providers cannot only comprehensively examine the processes of service experience design in detail but also accomplish the strategies testing and simulating. Hence, service providers can make correct decisions to achieve the business goals via the simulation results beforehand.

This paper contributes to analyze and combine the idea of customer expectation management with service experience design and give rise to a unique reference model of service experience design that is shown to be valuable to service operation strategies testing and simulating based on the system dynamics perspective.

Possible limitations on the successful formal modeling of human expertise can only be identified if the evolving thought processes involved in acquiring expertise are understood. This paper presents a 5‐stage description of the human skill‐acquisition process, applies it to the skill of business management, and draws conclusions about potential uses and abuses of formal modeling.

This study aims to use mixed methods to create a new conceptual framework to understand the unique characteristics of virtual tourism experiences (VTE), which has not been systemically examined.

Study 1 uses topic modeling with Latent Dirichlet Allocation to analyze 91,609 online reviews from the Airbnb Experience platform. Study 2 uses content analysis of open-ended qualitative responses from VTE customers. The two studies together are used to build a new conceptual model.

Building upon the Stimulus–Organism–Response (S-O-R) model and the experience economy, results present a new conceptual model and identify VTE as unique in terms of Stimulus (education, entertainment, esthetics, escapism and connection), Organism (experiencing synchronicity, telepresence, participation and customization, emotion) and Response (evaluation and behavioral responses). Given the uniqueness of VTE, the new construct of the virtual servicescape is incorporated, recognizing the host, the focal customer and other customers, and the technology as the four main components.

The proposed framework can be used to guide the design, development, and evaluation of VTE, including identifying the key considerations, engagement within the ecosystem and providing guidance to hosts and operators.

To the best of the authors’ knowledge, this is the first study that systematically explores VTE and proposes the theoretical framework to comprehensively understand this new form of experience in sharing economy by combining the unique aspects of the stimulus, organism, response and virtual servicescape.

The purpose of this paper is to develop and empirically test a process model (comprising of seven dimensions), for identifying online customer engagement patterns leading to recommendation. These seven dimensions are communication, interaction, experience, satisfaction, continued involvement, bonding, and recommendation.

The authors used a non-participant form of netnography for analyzing 849 comments from Australian banks Facebook pages. High levels of inter-coder reliability strengthen the study’s empirical validity and ensure minimum researcher bias and maximum reliability and replicability.

The authors identified 22 unique pattern of customer engagement, out of which nine patterns resulted in recommendation/advocacy. Engagement pattern communication-interaction-recommendation was the fastest route to recommendation, observed in nine instances (or 2 percent). In comparison, C-I-E-S-CI-B-R was the longest route to recommendation observed in ninety-six instances (or 18 percent). Of the eight patterns that resulted in recommendation, five patterns (or 62.5 percent) showed bonding happening before recommendation.

The authors limited the data collection to Facebook pages of major banks in Australia. The authors did not assess customer demography and did not share the findings with the banks.

The findings will guide e-marketers on how to best engage with customers to enhance brand loyalty and continuously be in touch with their clients.

Most models are conceptual and assume that customers typically journey through all the stages in the model. The work is interesting because the empirical study found that customers travel in multiple different ways through this process. It is significant because it changes the way the authors understand patterns of online customer engagement.

The primary purpose of this paper is to develop a parsimonious Consumer Experience Index (CEI) and then identify and validate the dimensionality of the experience concept.

The study employed a four‐step methodology. After conducting a pre‐test and pilot test, data were collected from 397 adults via an online survey. A split‐sample technique was used for the data analysis. The first‐split sample (n=199) was used to conduct the exploratory factor analysis. Reliability, convergent validity, and discriminant validity were evaluated with a second‐half split sample (n=198) from confirmatory factor analysis.

Scale‐development procedures resulted in a seven‐factor model comprised of the following dimensions: environment, benefits, convenience, accessibility, utility, incentive, and trust. Overall, the 26‐item CEI is a reliable and valid measure to determine the underlying components of a consumer's experience.

This study concentrates on an experience based on the general service delivery system rather than a specific industry or business sector. Applicability of this experience measure should also be evaluated in specific, but diverse, business sectors. By understanding these seven dimensions, management can develop effective marketing strategies for providing memorable experience for consumers.

Consumer experience has gone largely unmeasured. Built on the old business axiom that you cannot manage what you cannot measure, this validated CEI tool can provide businesses with an effective new management tool.

This paper aims to explore how intra-industry entrepreneurial experience and failure entrepreneurial experience affect novelty-centered business model design in a new venture. Moreover, the authors also consider whether the contingent value of entrepreneurial experience may differ according to competitive intensity.

A survey via questionnaire was conducted with 290 entrepreneurs and top managers from Chinese new ventures that provided the research data. Hierarchical regression analysis was used to test the proposed theoretical hypotheses.

The empirical results indicate that intra-industry entrepreneurial experience has an inverted U-shaped effect on novelty-centered business model design, whereas failure entrepreneurial experience has a negative effect on novelty-centered business model design. Furthermore, the authors also find that competitive intensity weakens the inverted U-shaped effect of intra-industry entrepreneurial experience on novelty-centered business model design.

This study offers new insights into the effects of intra-industry entrepreneurial experience and failure entrepreneurial experience on novelty-centered business model design and provides useful suggestions for new ventures to promote business model design.