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The purpose of this study is to discover the extent to which the marketing practices of Greek ski centers take into consideration visitors' preferences and the interests of other stakeholders in order to improve their tourism product. The existing ski centers and destinations are crucial for the ongoing development of winter tourism in Greece.

The study is exploratory in nature and data were collected by carrying out semi‐structured in‐depth interviews with key managers in 14 ski centers in Greece.

The results revealed that the majority of ski centers do not have a marketing department and only a few receive consultation from consultants. Additionally many ski centers do not use specific planning or strategic tools, and about 20 percent of their directors are not in a position to identify and measure customer segments. Individuals who pursue recreation, skiers, and various associations are ski centers' most frequent customers. Finally, respondents have defined customer satisfaction to be of a high level in those ski centers that conduct customer research.

This is a limited exploratory study restricted to one country. Suggestions are presented for future studies and especially for generalization of the findings.

Today's business environment requires the application of a robust, enterprise‐wide plan at Greek ski centers and particular management practices should be explored as possible causes of the inadequate advancement of the tourism product at Greek ski centers.

This study offers empirical findings from ski centers in Greece, where studies are limited. It also broadly creates the need for future research about this particular area and in areas with similar tourism characteristics in the Mediterranean.

Drawing from the Personal Construct Theory, this study aims to analyze the impact of using gamified apps on user behavior by investigating the service-related images and individual preferences of Generation Z (GenZ) consumers, as these emerge from gamified applications in a tourism context.

The repertory grid analysis (RGA) elicited the top elements that reflect GenZer perceptions in tourism from empirical studies in the UK and Greece. Generalized procrustes analysis was used to investigate the structure of the data for the creation of representative consensus biplots of the most important conceptual constructs to advance consumer decision-making modeling via gamification.

As per different gamified app best-practices considered, the authors extract not only common perceptual elements (e.g. place informative aspects, exploration, lodgings, food/catering) but also different image components (e.g. virtual/interactive, business vs commercial traveling, entertainment, heritage/cultural informative aspects) from comparing UK with Greek GenZers’ responses. These extracted attributes are then presented in two dimensional charts, respectively, toward creating tourist perception scales.

Notwithstanding the wide availability of gamified apps, research on gamification design in tourism and hospitality is still in the early phase. This study demonstrates the need to identify and optimize the formation of different images among GenZers. It also highlights the advantageous nature of the proposed combination of procrustes analysis with the RGA.

To the best of the authors’ knowledge, this research is among the first empirical ones toward creating scales for measuring tourist perceptions of GenZers coming from different consumer markets. It responds to scholars’ recent calls for better informing gamification design and improving contemporary consumer experience.

This paper aims to demonstrate the importance of technological advancements in shaping tourist decision-making. It reviews relevant theories and underlines the need for new theoretical frameworks that would illustrate the role of cognitive technologies, i.e. artificial intelligence (AI) applications, in tourist decision-making.

A critical analysis and synthesis of interdisciplinary literature was undertaken, aiming to discuss the theoretical frameworks and approaches used and to offer a future perspective based on major technological advances.

The technological advancements play a structural role in tourist decision-making processes, with digital technologies and cyber-physical systems becoming extensions of a tourist’s self.

The study offers the basis for a new theoretical framework in the area of tourism decision-making, considering the future of cyber-physical-human systems.

This study exemplifies the main elements of tourism decision-making theory and describes the need for a paradigm shift, as new forms of AI will complement human intelligence.

This paper aims to critically review the underlying assumptions and theoretical conceptualizations of duality theories in general. In particular, the paper seeks to augment McCabe et al.’s (2016) reconceptualization of consumer decision-making in tourism. Additionally, the paper offers an integrated duality theory model.

A critical discussion of the basic assumptions, recent advances and constructive criticism of duality theories found in the extant literature prefaces a detailed account of McCabe et al.’s (2016) new general tourist choice model. The author enriches and expands the conceptualization of this model and offers an advanced dual-process theoretical framework for decision-making with a broader range of variables, greater versatility, and suggestions for future research.

The findings indicate mental processes with broader external inputs (stimuli) with possible outputs (decisions/behaviors) warrant inclusion and expansion in a fulsome dual-systems model of tourist decision-making.

This research study adds to the literature of duality theories in consumer decision-making. While factors, contexts, personal preferences and other dimensions in the tourism industry are and will continue to be fluid over time, this study offers an integrated decision-making framework that provides clear linkages that mark pathways for new developments, future research and practitioner applications.

The integrated duality theory framework enables researchers and destination management organizations managers to acquire enhanced explanatory and predictive value of tourism decision-making, which can lead to offering improved products/services. The model’s emphasis on simultaneous engagement of both heuristic and analytic dual processes reflects fundamental human nature; decision-making can be “both/and” as well as “either/or” with heuristic and analytic processes.

Dynamic, volatile, and time-sensitive industries, such as tourism, travel and hospitality require agility and market intelligence to create value and achieve competitive advantage. The aim of the current study is to examine the influence of big data (BD) on the performance of service organizations and to probe for a deeper understanding of implementing BD, based on available technologies.

An ethnographic study was conducted following an abductive approach. A primary qualitative research scheme was used with 35 information technology and database professionals participating in five online focus groups of seven participants each. Analytical themes were developed simultaneously with the literature being revisited throughout the study to ultimately create sets of common themes and dimensions.

BD can help organizations build agility, especially within dynamic industries, to better predict customer behavioral patterns and make tailor-made propositions from the BD. An integrated BD-specific framework is proposed to address value according to the dimensions of need, value, time and utility.

Little research exists on the key drivers of BD use for dynamic, real-time and agile businesses. This research adds to the developing literature on BD applications to support organizational decision-making and business performance in the tourism industry.

This study responds to scholars’ recent calls for more empirical research with contextual understanding of the use of BD to add value in marketing intelligence within business ecosystems. It delineates factors contributing to BD value creation and explores the impacts on the respective service encounters.

This paper aims to investigate customers’ perceptions of the service quality facets of Airbnb accommodation using social exchange theory as a suitable conceptual framework to explain aspects of interactivity between guests and hosts.

A self-administered questionnaire consisting of 25 accommodation-specific service quality attributes, structured according to Akbaba’s (2006) measurement scale and based on the service quality hierarchical conceptualization described by Brady and Cronin (2001) and Cronin and Taylor (1992), was distributed to Airbnb international guests visiting Phuket, Thailand. The sample was chosen through a two-stage sampling process and the PLS-SEM technique was used for data analysis.

The results showed that convenience and assurance are critical contributors to the measurement of service quality in remote Airbnb lodgings. The findings further revealed that Airbnb guests are mainly interested in lodgings which have access to certain tourist sights, and in easily accessible information and efficient resolution of problems during their stay. The authors also found that guests greatly value the convenience and flexibility offered by Airbnb, and that they particularly appreciate the warm hospitality provided by the hosts. Finally, Airbnb guests have very low expectations of the amenities and services available at the lodgings.

Airbnb is one of the most well-known examples of hospitality in the sharing economy, and results cannot be generalized to similar accommodation providers in sharing economies. Despite the appropriateness of using the measurement tool provided by Akbaba (2006), it is only one option among others for measuring service quality.

The current study can assist hosts in gaining better knowledge of guests’ decision-making processes and in designing effective marketing strategies by focusing on guests’ requirements in terms of service quality. The effective use of competitive strengths and the prioritization of business resources would potentially enhance guests’ positive experiences at the accommodation and at the destination.

Limited numbers of studies have focused on the sharing economy and hospitality and in particular on Airbnb, and this is the first study with a focus on service quality issues in terms of Airbnb accommodation.

The purpose of this paper is to discuss the need to evaluate perception-based quality in service encounters. It sets out to diagnose potential mismatches in how customers and front-line employees perceive quality in high-involvement service settings, based on the premise that any initiative toward quality enhancement in service encounters is advisable only when employees and customers evaluate quality utilizing common perceptual structures.

The study utilizes invariance analysis. The survey involved 165 bank branches and 1,522 respondents (463 front-line employees and 1,059 customers) and operationalized the same set of questions for both groups of participants. Multisample confirmatory factor analysis tested a series of measurement models.

Results revealed equivalence for tangibles, responsiveness and assurance but also mismatches between customers and front-line employees perceptions of reliability and empathy.

Findings add to current knowledge of how both groups of participants evaluate quality in service encounters and are discussed with reference to managerial consequences for perception-based quality mismatches.

So far only a few studies have simultaneously examined front-line employees’ and customers’ perceptions of service quality in service encounters. Unlike previous research designs, this study addresses the critical aspect of potential mismatches in how customers and employees perceive service quality, and presents a methodological procedure to detect them.

Despite the fact that hotels rely heavily upon frontline employees, extant evidence on what makes a hotel attractive in the eyes of job applicants is scarce. Thus, this paper aims to incorporate the Big Five personality traits model to identify what potential hotel job applicants are likely to seek in their prospective employers.

Applicants for non-managerial, frontline posts at upscale hotels were approached via three branches of a career agency located in England, UK; their responses were gathered via a self-administered questionnaire. The 522 usable responses were used in a covariance-based, multi-group structural equation modeling scheme to investigate three main research propositions with regards to the applicants’ personality traits’ influence on their perceptions of a hotel’s attractiveness as a potential employer.

Analysis of responses indicates significant differences regarding the impact of extraversion, conscientiousness and openness on perceived facets of employer attractiveness. Additionally, findings suggest that high self-esteem does make applicants more demanding, while work experience also influences their preferences regarding the hotels’ profiles as an employer.

The results of this study are limited to applicants for non-managerial, frontline job positions in upscale hotels in the UK.

Practically, this study offers practitioners valuable feedback regarding the potential applicant’s personality profile that grants the best fit with an upscale hotel.

While different studies tried to identify the organizations’ attributes that attract potential applicants, evidence on what attracts individuals to a hotel is very limited. Hence, the present study tries to address this gap and link potential applicants’ personality profiles with that of hotels as employers.

The purpose of this study synthesises the body of research revolving around blockchain technology (BCT) whilst drawing on the technology-organization-environment framework, resource-based theory and theory of constraints, to conceptualize capabilities (enablers) and constraints (barriers) of BCT in the hospitality and tourism (H&T) industry.

A systematic literature review of BCT in the hotel and tourism industry has been achieved through two databases, i.e. Scopus and Web of Science. From 544 articles selected between the years 2008 and 2023 (first quarter), a sample of 49 articles was used to structure existing research on this subject.

The findings of this systematic literature review of BCT in the H&T literature establish a solid groundwork for assessing the evolution of this research area over time. Findings are classified into two groups: capabilities (enablers) and constraints (barriers) of BCT based on publication year, different research methods, theoretical underpinnings and applicable contexts.

To the best of the authors’ knowledge, this is one of the first attempts to synthesize studies related to BCT in H&T research by combining three theoretical approaches. It serves as a foundation to evaluate the development of BCT studies in this field.

Thousands of young people traveled to London to attend their favorite “High Ten” world famous pop girl band performing in the O2 Arena. Ten minutes before show time the organizers informed the fans that the concert was canceled due to Alyssa’s, one of the four-piece band singers, sudden illness. The disappointed fans were instructed to leave the venue and wait for a news release on the following day.