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Quality in foodservices has become essential, and new methodological ways of determining service quality enable a better representation of service processes and help to increase revisits. This paper focuses on the foodservice context and explores the relationship between staff-related service dimensions, atmosphere, food quality and revisit in a full-service setting.

This study combines an often neglected mystery guest approach with partial least square–structural equation modeling (PLS-SEM) to shed more light on customers' service perceptions. The mystery guest approach has been updated with a digitally supported smartphone questionnaire (e-mystery) that provides more reliable results since previous measurements experienced difficulties of feasibility in time-limited settings (N = 247).

The findings of this study confirm the direct effects of the service quality dimensions reliability, attentiveness and atmosphere on revisit intention and highlight the mediating role of food quality. In detail, the findings showed significant results for service employees' reliability and attentiveness and underlined the role of atmosphere for revisit intention.

The contribution of this paper supplements that mystery guest approaches represent a reliable alternative to convenience sampling, especially in combination with a digitally supported questionnaire (e-mystery). Thereby, this paper suggests the further application of e-mystery for the hospitality and tourism industry. In terms of implications, this study highlights the importance of securing food quality by fostering specialized schools and training programs for career starters. Since the findings stress the importance of service quality and atmosphere, managers need to ensure that employees are trained in culturally sensitive communication and services to excel in service-related dimensions.

The purpose of this study is, first, to determine which developments have shaped official hotel classification systems over recent years (including the impact of guest-review platforms) and second to establish the future of those systems through the eyes of the people who are actually in charge of operating them.

Semi-structured interviews were chosen as the most suitable method for approaching hotel classification system administrators. This method is in line with previous research on approaching key informants in their respective fields. Sixteen people representing 12 different official national hotel classification systems from across the world as well as one commercial hotel star rating system participated in the online interviews.

The first main conclusion is that hotel classification systems – especially voluntary ones – would not have survived the enormous impact of guest-review platforms without quickly adjusting to the ever-changing hotel industry landscape. The frequent review of classification criteria and procedures has become the main survival strategy of classification systems. The second conclusion is that system operators are strongly optimistic about the future outlook of hotel classification based on their proven flexibility to swiftly adapt to new market conditions.

Research about hotel classification systems is usually based on the views of the systems' users, i.e. hotels or hotel guests, whereas the present paper reflects the perspective of the systems' operators, an angle rarely analyzed in the literature.

In multi-sited ethnography, “following” (of, e.g. persons, objects and events) is used as a device to structure fieldwork. The purpose of this paper is to problematize and substantiate the notion of following, illustrating that, when adopting a “following” strategy, the endless number of potential trails one could follow may lead a fieldworker to be both everywhere and nowhere at once.

This paper is based on the experiences and insights derived from a multi-sited ethnography of the strategic collaborations that emerged after the Dutch healthcare reform of 2015. Fieldwork was conducted between 2015 and 2017, and consisted of participant observations, shadowing and interviews.

An approach well suited to studying the contemporary problems that cut across organizational boundaries, multi-sited ethnography is both valuable and more challenging due to: (1) the continuous need to negotiate access, which stimulates the researcher to reflect on his or her positionality in the field; (2) the inevitable pressure it puts on a researcher to “unfollow” their field(s) and to regain critical distance and (3) its perplexing ability to highlight the lack of a whole, unveiling instead a plethora of perspectives across sites which may or may not align.

This paper ends with three key considerations for future multi-sited research endeavours.

Although the metaphor of following can help to structure fieldwork, the practice of following in multi-sited ethnography is not as straightforward as it appears: there are countless potential “paths” to follow, and researchers themselves must decide which trails to choose and when to step back and “unfollow” their field(s).

As the consumer experience literature broadens in scope – specifically, from dyads to ecosystems and from provider-centric to consumer-centric perspective – traditional data collection methods are no longer adequate. In that context, the paper aims to discuss three little-used data collection methods that can contribute to this broader view of consumer experience.

The paper identifies methodological requirements for exploring the broadened view of consumer experience and reviews data collection methods currently in use.

The paper elaborates tailored guidelines for the study of consumer experience through first-hand, systemic and processual perspectives for three promising and currently underused data collection methods: phenomenological interviews, event-based approaches and diary methods.

Although the list of identified methods is not exhaustive, the methods and guidelines discussed here can be used to advance empirical investigation of consumer experience as more broadly understood.

Practitioners can apply these methods to gain a more complete view of consumers’ experiences and so offer value propositions compatible with those consumers’ lifeworlds.

The paper principally contributes to the literature in two ways: by defining the methodological requirements for investigating consumer experience from consumer-centric, systemic and processual perspectives, and by specifying a set of data collection methods that meet these requirements, along with tailored guidelines for their use.

The purpose of this paper is to investigate whether guests’ tipping motivations (i.e. server quality, social norm and food quality) and demographic characteristics (i.e. gender, age and income) influence loyalty to the server in a restaurant.

Based on a national online survey consumer panel comprised of 468 participants, the authors utilized decision tree using R statistical software. Predictor variables were tipping motivations and demographic characteristics (age, gender and income). Target variable was loyalty to the server.

The findings suggest that social norm, food quality and income influence customers’ loyalty toward the same server on future visits. Social norm turned out to be the strongest predictor. If consumers did not have high social norm on tipping, their loyalty toward a particular server was affected by the combination of determinants such as server quality, social norm, income and food quality.

Future research can identify or develop scales of tipping motivations with stronger reliabilities in the context of restaurants. Future research can also explore other demographic differences (e.g. ethnicity and sexual orientation) in tipping motivations and server loyalty.

Servers are indeed the primary contact point and they are in the most influential position with consumers. Overall, results of this study provide an interesting insight in that restaurant guests’ experience can be ruined by bad quality of food or can be mitigated by server quality. Thus, this research highlights a step-by-step process as to the actions that a server may perform and manage in order to enhance server loyalty.

Loyalty has been examined in the context of products, brands or service providers. This study focuses on loyalty toward a specific server, because the consideration of server–guest relationship provides both a compelling and timely area of study in that restaurants continue to look for unique ways to drive server–guest rapport and customer loyalty.

The purpose of this paper is to provide an insight in the future of hotel rating. It reviews the impact of social media, technology that provides integration of data for the consumer and the hotels, and the way that rating bodies may respond to the changing environment on how hotels are selected and reviewed.

By reviewing current trends, practices and technological possibilities, the impact of online reviews on conventional hotel rating systems is projected into the future.

The paper predicts a full integration of conventional rating systems with online guest reviews from the different guest review platforms leading to greater transparency for the consumer and better positioning opportunities for innovative hotels. It is further predicted that those conventional rating systems that do not seek integration and alignment will see a continued drop in hotel participation and will cease to exist.

Little research has been done on the relation between online guest reviews and conventional hotel rating systems. The paper presents new insights into how current and future trends influence the way in which consumers select hotels and how this influences the way that hotels are rated.

To reminisce about my entrepreneurial career with appropriate self-importance, I might note that I have helped create companies and jobs. This contributes in a small way to economic growth. Economic growth is, however, an often illusive concept to characterize. Job growth is an essential component of a dynamic, innovative process. In the late 1970s jobs growth research suggested that the vast majority of new jobs are created by small business formation. Such empirical research is difficult to support with theoretical constructs. Classic macroeconomics analysis discounts size-offirm as irrelevant. Entrepreneurial contribution is therefore difficult to assess.