Attracting tourists to travel companies’ websites: the structural relationship between website brand,personal value,shopping experience,perceived risk and purchase intention

This article aims to examine the structural relationship between website brand, personal value, shopping experience, perceived risk and purchase intention from travel websites. Built upon the theory of consumers’ perceived risk, a theoretical model was proposed and a questionnaire was developed. The fieldwork utilized responses from 409 participants who purchased travel items from websites of Malaysian travel companies. Partial least square (PLS) path modelling approach, a variance-based structural equation modelling (VB-SEM), was used to assess the overall goodness-of-fit tests, measurement and structural model. The results highlight different aspects related to the effectiveness and attractiveness of travel companies’ websites. Its unique finding highlights the importance of personal value as a user characteristic factor that can strongly affect online purchase intention. In addition, by combining user characteristics and website characteristic and examining them in a single model, this study provides a clear multidimensional picture of causal relationship between latent constructs in an online travel purchase context. Theoretical and practical implications of study results are discussed and suggestions for future research are provided.     

Tourism demand modelling: some issues regarding unit roots,co‐integration and diagnostic tests

This paper investigates the all important issue of diagnostic tests, including unit roots and cointegration, in the tourism demand modelling literature. The origins of this study lie in the apparent lack in the tourism economics literature of detail concerning the diagnostic test aspect. Study of this deficiency has suggested that previous literature on tourism demand modelling may be divided into two categories: the pre‐1995 and post‐1995 studies. It was found that the pre‐1995 and some post‐1995 studies have ignored unit root tests and co‐integration and, hence, are vulnerable to the so‐called ‘spurious regression’ problem. In highlighting the key diagnostic tests reported by post‐1995 studies, this paper contends that there is no need to report the autoregressive conditional heteroskedasticity (ARCH) test, which is applicable only to financial market analysis where the dependent variable is return on an asset. More generally, heteroskedasticity is not seen as a problem in time‐series data. However, the reporting of a greater than necessary range of diagnostic tests — some of which do not have any theoretical justification with regard to tourism demand analysis — does not diminish the precision of the results or the model. This paper should appeal to scholars involved in tourism demand modelling. Copyright © 2003 John Wiley & Sons, Ltd.     

Exploring heterogeneity among backpackers in hostels

This study’s goal was to validate the core dimensions of hostel service quality and to test whether each dimension has a different impact on behavioural intentions across guest segments defined by age, gender and nationality. This research targeted guests staying at Lisbon hostels (N?=?313). Both covariance-based structural equation modelling (SEM) and variance-based SEM were used to meet this study’s exploratory and confirmatory objectives. The results confirm that service quality in this sector is a multidimensional construct comprising four core dimensions: quality of staff, social atmosphere, hostel tangibles and city connection. These four aspects are relevant when explaining levels of satisfaction, recommendation and revisiting intentions. Moreover, these dimensions allow the identification of differences across market segments in regards to responses to marketing outcomes, thus providing useful insights into how best to meet guests’ needs.     

Application of structural equation modelling for estimating airline performance

Structural equation modelling (SEM) is an estimation method that can handle a large number of exogenous and endogenous factors as well as unobserved (latent) variables that are specified as linear combinations of observed (measurement) factors. This paper presents a SEM procedure with latent variables for estimating the financial and non-financial performance in airline companies. The model includes independent, mediator and dependent latent variables. The sample for this research comprises 214 airline companies. The results indicate that the model is capable of estimating performance with respect to the economic situation and it has also been determined that two types of constructs affect performance. One type is the economic situation acting as an initial construct and the other is the internal operation acting as the mediator in the research model.     

Impressions of Liusanjie: a study of motivation,theatrical performance evaluation,and satisfaction

This paper examines the relationships between motivation to visit, performance evaluation, satisfaction, and behavioural intentions for tourists experiencing ‘Impressions of Liusanjie’, an iconic, outdoor, theatrical performance in Guilin, China. The study finds that motivation does not affect satisfaction directly but that performance evaluation is an intervening variable between motivation and satisfaction. It also finds that experiential evaluation of the theatrical performance has more effect on satisfaction than evaluation of technical and functional attributes. Tourists were surveyed after the performance and the results analysed using cluster, correlation analysis and structural equation modelling (SEM). The first two techniques were used to identify existing relationships amongst the study variables. SEM was applied to determine if a causal relationship existed and, if so, their strength. This research provides a contribution to the understanding of tourist motivation, theatrical performance evaluation, satisfaction, and behavioural intentions.     

The effect of continuous improvement capacity on the relationship between of corporate social performance and business performance in maritime transport in Singapore

Drawing on organisational learning theory, this study argues that shipping firms with high continuous improvement capacities have better success in transforming corporate social performance (CSP) into business performance. Survey data were collected from 223 shipping firms in Singapore and analysed using multi-sampling analysis, hierarchical regression modelling, and simple slope analysis. The results support the study’s argument and show that business performance is maximised when continuous improvement programmes targeted at CSP are carried out at a gradual pace and at regular intervals. This implies that shipping firms should adopt a dynamic, value-driven approach to improving CSP.     

The effects of tourists’ knowledge-sharing motivation on online tourist community loyalty: the moderating role of ambient stimuli

This study explores the role of tourists’ knowledge-sharing motivation in the formation of online community loyalty. More specifically, the study examines (1) the theoretical relationships between five factors influencing knowledge-sharing motivation, knowledge contributions (KNC), knowledge-sharing continuance intentions (KCI), and community promotion (COP) and (2) the moderating effects of ambient stimuli on the relationship between KNC and KCI and on that between KNC and COP. For valid respondents, a convenience sample of online travel community members was obtained using Amazon Mechanical Turk. Hence, a total of 410 responses were employed to test the research hypotheses through a structural equation modelling analysis and a series of hierarchical multiple regression analyses. The results show that four factors influencing knowledge-sharing motivation, namely altruism, expected reciprocal benefits, reputation, and trust, had positive effects on KNO. KNO had positive effects on KCI and COP, and KCI had a positive effect on COP. In addition, a positive group perception moderated the KNC–KCI and KNC–COP relationships.     

Conditional Freight Trip Generation modelling

Freight Trip Generation (FTG) in general and FTG modelling in particular are fields that are not concentrated upon as much as passenger trip generation. Therefore, the main objective of this work was to improve the understanding of the underlying processes that generate freight trips and through this understanding, to improve the modelling of FTG. To achieve this goal, the authors first had an extensive literature review to understand the reasons for the weaknesses of the current FTG modelling approaches. After identifying these weaknesses, some of them were brought to a focus in this work. One of the main weaknesses was the inadequacy of the classification system which was used to group commercial establishments in a set of standardized classes. Hence, firstly an experiment was conducted to create groups of logistical sites that had homogeneous FTG characteristics. It was observed that one of these segments had too many zero trips for a particular vehicle category, namely tractor-trailers. Then, to solve this problem, a new ‘conditional’ modelling approach for FTG modelling of this group and this vehicle category was proposed and tested using the data obtained from Kocaeli City Logistics Master Plan. This new hypothesised conditional approach aimed to find the probability of the segment generating tractor-trailer trips using the binary logit model and the generated trips given that the sites produced tractor-trailer trips using the regression technique. Afterwards, the models developed using the new approach were compared with the models obtained using only the common modelling approach of the regression analysis. The results indicated that creating homogeneous groups of logistical sites was possible and the new conditional modelling approach which was applied to one segment of the logistical sites for FTG of tractor-trailers, performed better than the regular regression modelling. Lastly, some recommendations for further improvement of this modelling approach were provided.     

The effects of perceived authenticity,information search behaviour,motivation and destination imagery on cultural behavioural intentions of tourists

This study tested a structural model which investigates the effects of perceived authenticity, motivation, information search behaviour and destination imagery on tourists' behavioural intentions to consume cultural attractions. Data were collected at selected cultural and natural heritage sites in the island of Mauritius (N?=?600). The sample was split into two data sets. Structural equation modelling and hierarchical multiple regression were employed to test the hypothesised relationships. Findings revealed a significant positive relationship between perceived authenticity and cultural behavioural intentions of tourists. Destination imagery had an influence on tourists' cultural intentions. Information search behaviour was found to exert a negative influence on tourists' cultural intentions while motivation did not have any influence on the latter. Perceived authenticity was seen to exert a moderating effect on the respective relationships between motivation, information search behaviour, destination imagery and cultural behavioural intentions of tourists. The theoretical and managerial implications of the study are discussed.     

Brazilian airport economics from a geographical perspective

This paper discusses the revenue and expenditure functions of a sample of Brazil’s airports administered by Infraero, the Brazilian State enterprise responsible for administering the country’s major airports. It aims to identify what volume of movement at the airports associates with positive net earnings, i.e., the break-even point between revenue and expenditure, in view of aspects of airport movement and geographical factors. It examines airports serving regular airlines and with movement of up to 8 million passengers in 2010. Revenues and expenditures are explained by total passengers embarked and disembarked at each airport and by the potential of the airport’s ‘anchor city’. Multiple regression analysis achieved a high level of explanation for the dependent variables studied, i.e., revenues and expenditures. The model explains 81% and 91% of the variations in revenues and expenditures, respectively. The analysis shows that, considering the ranking of cities, Brazilian airports with less than 2 million passengers tend to operate at a financial loss, those with between 2 and 3 million passengers are at the transition stage between positive and negative earnings, while airports with more than 3 million passengers tend to make gains. However, the simulation modelling shows that the break-even point between expenditure and revenue functions can vary considerably when different ‘city potentials’ are considered. In this respect, the modelling offers investors a tool for analyzing passenger demand risk in the light of expectations for Brazilian cities’ potential.     

Examining the influence of casino attributes on baby boomers’ satisfaction and loyalty in the casino industry

The baby boomer market draws attention from the hospitality industry due to its economic power and substantial size. Despite the importance of this market segment, no empirical research to date has provided effective strategies to maximise baby boomer casino visitors’ satisfaction and loyalty. The purposes of this study were: (1) to investigate possible casino attributes that influence baby boomer casino visitors’ satisfaction levels and (2) to examine how these attributes influence satisfaction level, thus resulting in the formation of loyalty. Based on a literature review, five casino attributes influencing casino visitors’ satisfaction were derived. Exploratory factor analysis conducted with 700 baby boomers resulted in the hypothesis that baby boomers’ satisfaction with a casino is determined by five casino attributes: slot machines, table games, winning perception, non-gaming-related services, and promotions and benefits. Subsequent confirmatory factor analysis and structural equation modelling analysis revealed that four of the five casino attributes derived from the literature review are key antecedents of gaming satisfaction, attitudinal loyalty, and behavioural loyalty formation in the casino industry: slot machines, table games, non-gaming-related services, and winning perception. With regard to the fifth attribute, promotions and benefits were actually not found to heavily influence baby boomers’ casino satisfaction and loyalty. Based on the findings, the key theoretical and managerial implications are discussed in the latter part of this article.     

How Far does Overall Service Quality of a Destination Affect Customers' Post‐Purchase Behaviours?

In tourism management literature, there are numerous research papers focusing on the determinants of the customers' destination evaluations and how they affect each other. The chief variables to be examined in the literature have been customer satisfaction, perceived value, behavioural intention and service quality. In this study, the authors were inspired by the ‘indirect model’ by Cronin et al. (2000) and generated a conceptual model to determine the overall service quality of a destination and its effect on perceived value, customer satisfaction and behavioural intention by structural equation modelling technique. Copyright © 2011 John Wiley & Sons, Ltd.     

Evaluating urban residents’ attitudes towards tourism development in Belgrade (Serbia)

This study empirically examines the relationships among residents’ place image, various domains of tourism impacts, and residents’ support for tourism development in an Eastern European city, as well as the role of residents’ socio-demographic characteristics and place attachment. The direct, indirect, and moderating effects were investigated using structural equation modelling and the method suggested by Hayes and Preacher [2010. Estimating and testing indirect effects in simple mediation models when the constituent paths are nonlinear. Multivariate Behavioral Research, 45, 627–660]. The findings show that none of the tourism impacts mediate the relationship between place image and residents’ support for tourism development. Moreover, with respect to Belgrade, perceived economic impacts have the strongest effect on residents’ support, followed by perceived socio-cultural impacts. By assessing the respective contribution of the three tourism impacts simultaneously, the results highlight the weight residents assign to a city’s peculiarities, thus illustrating contextual influences such as post-communist and centrally planned economy legacies.     

Does the nature of airport terminal service activities matter? Processing and non-processing service quality,passenger affective image and satisfaction

The surge in air transport demand and the increasingly competitive and volatile market dynamics due to airline deregulation are rapidly transforming airports’ character into multi-service firms and destinations. As a result, service performance measurement of significant systems and their consequent impact on airport users are crucial in creating better airport service design, operation and management for sustainable competitive advantage. The present study 1) assesses the applicability of the Airport Indicators of Passenger Experience (AIPEX) model on Shanghai Pudong International Airport (PVG), and 2) tests a theoretical model that explores the direct and indirect relationships among airport service quality, passenger affective image and satisfaction, as well as the moderating mechanism of passenger type (travel purpose) in these associations. The results indicate that, the AIPEX model fits the PVG context for airport service performance assessment. Also, the theoretical model suggests robust direct associations among processing/non-processing domains and passenger satisfaction, as well as the processing domain and passenger affective image, except non-processing domain and passenger affective image relation. Moreover, significant mediating and moderating effects of passenger affective image and travel purpose on the significant positive direct associations are found. Further, implications for theory and practice are discussed.     

Mobile learning adoption for tourism education in a developing country

Since developing countries are gradually introducing mobile-based tourism education, it is a growing demand to understand the students’ intention to adopt mobile learning. The study used partial least squares-based structural equation modelling to analyse survey data from 176 questionnaires at three tourism education institutes in Bangladesh. The study contributes to the theory of planned behaviour by examining the antecedent impact of innovativeness and moderating effect of self-efficacy. Results confirmed innovativeness as a significant antecedent on the attitude–intention relationship; however, the moderating effect of self-efficacy has not been supported. The study has marketing implications for tourism education institutes and government bodies.     

Airline fuel usage and carbon emissions: Determining factors

Using annual data on individual US airlines over the 1995–2015 period, this paper presents regression results relating an airline's total fuel usage to seven variables: the available ton miles of capacity (passengers plus freight and mail) provided by the airline; the average seat capacity of its aircraft, average stage length (flight distance); average load factor (measured by weight); the average vintage (construction year) of its aircraft; the percentage of the airline's flights that are delayed; and the average annual fuel price. The results show how fuel usage and carbon emissions depend on a small set of crucial variables. The estimated fuel-price effect allows the emissions impact of an optimal emissions charge to be computed, and the estimated delay effect shows the emissions impact of an industry-wide reduction in flight delays. The regression model is generated from a theoretical framework.     

Lowest price guarantees on airline websites: Perceived believability,perceived value,and purchase intentions

Although lowest price guarantees (LPGs) are common on airlines’ official websites, a deeper understanding of how customers evaluate these guarantees is lacking. This study examines the effects of two LPG terms—depth of refund and refund conditions—on customer perceptions and purchase intention. An experiment with a 2 × 2 factorial design was conducted with a sample of 282 adults, and structural equation modelling was used to test the model. The results show that refund depth increases customer purchase intention by enhancing perceptions of the believability and value of the LPG. Strict refund conditions enhance customer purchase intention by increasing the believability of the LPGs.     

Luxury-cruise travellers’ brand community perception and its consequences

This study examines the roles of brand community and brand differentiation in the context of the luxury-cruise market. Employing a brand community integration scale, an online survey was conducted with 300 luxury-cruise customers in the USA. The results of structural equation modelling provided six findings as follows: (1) three of the four dimensions of brand community, namely the relationship with the cruise brand, the cruise product, and other cruisers, had positive effects on brand distinctiveness; (2) brand distinctiveness had positive effects on emotional brand attraction; (3) emotional brand attraction had positive effects on active engagement and repurchase intentions; (4) the corporate social responsibility image moderated the link between the relationship with other cruisers and brand distinctiveness; (5) customers’ desire for unique products moderated the relationship between brand distinctiveness and emotional brand attraction; and (6) service-use self-efficacy moderated the relationship between emotional brand attraction and active engagement. The results provide a deeper theoretical and practical understanding of the luxury-cruise market.     

Millennials’ travel motivations and desired activities within destinations: A comparative study of the US and the UK

Millennials are one of the largest groups to be targeted by tourism companies. This paper compares the travel motivations of Millennials from both the United States and the United Kingdom by ratings, rankings and perceptual structures of both push and pull factors. This exploratory study used a questionnaire to examine the inner motivations (e.g. push factors) and preferred destination activities (e.g. pull factors) of American and British Millennials (n?=?322). Data analysis included the non-parametric Mann–Whitney U test, Kendall’s coefficient of concordance, an alternating least-squares algorithm (ALSCAL) model and ordinal regression. The results reveal that American and British Millennials are quite homogeneous in their push travel motivations and destination activity preferences. The most important motivational factors for both are ‘to relax’ and ‘to escape from the ordinary’. Both nationalities also agree that the most attractive destination activities are ‘to try local food’ and ‘to go sightseeing’. The findings indicate that the US and UK samples are similar and that there is room for segmentation according to demographics.     

The influence of attitudes towards healthy eating on food consumption when travelling

This study explores tourists' attitude towards healthy eating and its influence on their travel eating behaviour. Based on focus group interviews and literature review, two instruments were developed to measure healthy eating attitude and travel eating behaviour. Factor analysis results revealed two healthy eating attitude factors (‘food content and nutrients’ and ‘balanced diet and eating habit’), and five travel eating behaviour factors (‘novelty’, ‘risk avoidance’, ‘health steadfastness’, ‘familiarity’, and ‘food supplement and medicine’). The relationships among the factors were examined using structural equation modelling. The findings revealed that respondents who had a stronger attitude towards ‘balanced diet and eating habit’ tended to be more motivated by the ‘novelty’ factor; whereas ‘risk avoidance’, ‘health steadfastness’ and ‘familiarity’ were found to be associated with a stronger attitude towards ‘food content and nutrient’. The findings suggest that the healthy eating attitude construct is multidimensional and healthy eating conscious tourists should not be treated as a homogeneous group.