Purpose This study aims to determine the possible role of servant leadership (SL) in meliorating critical issues in the contemporary hospitality industry by synthesizing literature on SL, examining benefits and deriving future research propositions. Design/methodology/approach A systematic literature review of SL in hospitality was conducted to analyze, categorize and synthesize the state of research. A nomological framework of SL in hospitality was created, and research gaps were identified. Future directions and propositions were derived to investigate the antecedents of SL by applying the person-situation theoretical approach, and second, to address contemporary challenges in the industry. Findings SL theory in hospitality is examined across various themes with focus on outcome effects related to firm performance, and across different cultures, with observed dominance in Asia. All analyses demonstrate the positive effects on employers and firms and thus confirm the relevance of adopting SL in hospitality. A notable gap in hospitality research is the lack of empirical investigation of SL antecedents. Such an investigation is crucial in promoting related behaviors. Practical implications This study identifies the benefits of SL, especially in addressing contemporary issues, such as sustainability, talent shortage, competition, growing demand for experience and retention of hospitality graduates. Recommendations are elaborated for hospitality educators and industry managers to revise leadership practices. Originality/value This study is the first to review SL in hospitality and determine its role in ameliorating critical issues in the field.

No abstract

This study investigates tourist behaviour in the Canton of Ticino Switzerland, a geographically dispersed destination, by analysing use patterns of a 'destination card' sold by the local destination management organization. Destination cards offer free or highly discounted entry into partner attractions and activities often coupled with free public transport access in the area. Within this context, the study sought to determine if evidence of concentrated behaviour existed, either spatially or by activity. Cluster analysis revealed four discrete market segments. Three of them showed a high degree of spatial concentration in their movements, augmented by some clearly defined activity preferences. The fourth showed no clear pattern, travelling widely throughout the Canton and sampling a range of activities. Hence, the combination of transport and attractions' entrance appeals to two different user groups, one looking to gain access to attractions and one seeking ease of transport. Discriminant analysis further supported the results with defining the determinant variables of the cluster membership and confirmed that the point of sales has an important role in identifying the consumption of activities and the extension of the area visited. Thus, to conceptualize the decision process in an intra-destination level, the spatial structure of the destination seems to play a greater influence on behaviour than its product structure. The paper illustrates how analysis of destination card data can assist destinations in better understanding their markets and discusses potential research opportunities that can generate real marketing benefits. A number of recommendations especially for destination managers and tourism operators are also identified to enhance the information gathered. Product bundling, regional cooperation and strategic marketing opportunities at sales points are suggested in this context to further incentivize tourist mobility.

No abstract

International long-haul travel represents a distinct market segment with great potential. Yet, empirical studies on the stopover destination visits are limited. The current research is based on a web survey conducted among residents in the United States, the United Kingdom, and Australia, which are three of the world’s top spenders and long-haul travel source markets. In this work, we examine tourist intentions to trade leisure time at a long-haul destination for a visit to a stopover destination. In particular, tourist preferences are analyzed as a function of traveler price sensitivity toward long-haul destinations, travel personality, activity engagement, motivation, travel profile, and demographic characteristics. Results provide insights into the under-researched topic of stopover tourism and guide aviation mega-cities toward an enhanced understanding of the potential demand.