Search results

Building on new trends in tourism and smart city governance, this study aims to examine the degree of interrelation between stakeholder networks involved in tourism governance and smart city development. A model describing the transition towards smart tourism city governance is proposed.

The proposed model is tested through a multiple case study of seven European cities. This choice of sample makes the study highly representative. Data collection is based on an exhaustive search and analysis of available data on smart city initiatives, destination management organisations and tourism plans. Social network analysis using Gephi software is used to build stakeholder networks.

Analysis of the stakeholder networks that shape tourism governance and smart initiatives in several cities reveals a disconnection between the two types of networks. The results show limited progress towards the expected synergies of true smart tourism city governance.

Theoretically, the study contributes to the debate on new forms of governance for the complex evolution of urban tourism. In practice, the relationship between tourism governance and smart city initiatives needs to be redefined to achieve synergies that increase the inclusiveness and efficiency of urban tourism policies.

This study examines the under-researched topic of the interrelation between tourism governance and smart city initiatives. By comparing the networks of actors resulting from these two processes, it assesses the extent to which this interrelation helps the emergence of new governance models (smart tourism city governance).

The purpose of this paper is to provide a deeper understanding of the relevance of shore excursions in the distribution of cruise passenger flows; an approach which has been overlooked by many studies on cruise tourism. Specifically, the paper focuses on two destinations: Barcelona, a mature cruise destination suffering from the impact of overcrowding; and Valencia, an emerging cruise destination facing the risk of future (similar) impacts.

The method used is multiple-case study with replication logic. First, web content analysis is conducted of shore excursion descriptions of the destinations selected so as to identify the itineraries, as well as the municipalities and the specific tourist attractions included in the tours. Then, word-processing tools are used to create a regional and local data set to arrange the narrative data. Finally, density maps are drawn in order to examine the different visitor flows within the tourist hinterlands from the supply perspective.

The results indicate that most shore excursions are concentrated in the port cities. Comparing the two destinations, the paper argues that the redistribution within the cities is not equally balanced. Nevertheless, the results also reveal that the excursions offered by local shore tourism operators (TOs) in both destinations have contributed to the expansion of the cruise tourist hinterland over a wider regional area.

This paper evaluates the visitor flow distribution from a supply perspective. Hence, future studies should examine the demand dimension in order to gain a deeper understanding of the concentration intensity. Additionally, it would be worth examining not only visitors taking guided tours but also the independent ones (those who visit the destination on their own).

Despite the growing importance of cruise tourism, research on the role of local shore TOs in this sector is quite limited. One element that deserves more research attention is related to the role of shore excursions in the spatial configuration of the cruise tourist hinterland. Finally, the results obtained could also have significant implications for policy makers developing and promoting effective measures to prevent overcrowding.

The purpose of this study is to attempt to explain why the impact of Corporate Social Responsibility (CSR) initiatives may be different and/or more important in service firms compared to manufacturing firms. CSR is becoming a common strategy, hence its extensive research. Central to it is the analysis of the effect of CSR on a firm’s performance, whose outcome depends on firm-specific and industry-related factors.

The event study methodology is applied to all the 248 companies that have ever traded on the Spanish Stock Market between 1990 and 2007. A regression analysis examines potential different effects of CSR on service and goods firms.

The results show that CSR activities have a positive impact on firm performance that is higher for service firms than for manufacturing firms. Actions related to the environment, responsible labor relationships and good corporate governance are especially important in the service context.

This research is focused on shareholders’ performance, but it does not consider other stakeholders, such as real consumer behavior or employees’ commitment and productivity.

Service firms are likely to gain from focusing on some CSR activities (environment, employees and good corporate governance) and should use their responsible behavior as a valuable tool for public relations and differentiation in the market.

This article is the first attempt to empirically test and explain why the relationship between CSR and firm performance may be different (more positive) for service vs manufacturing firms.

This paper aims to examine which behaviour or set of behaviours customers are prone to follow in double deviation scenarios (i.e. consumption experiences in which customers face both the initial service failure and a failed service recovery), as well as how customers' perceptions of the problem and the firm's recovery efforts may influence these behaviours.

The paper uses multinomial logit models with random coefficients to test the proposed model.

Magnitude of service failure, explanations, apologies, perceived justice, anger and frustration felt by the customer, and satisfaction with the service recovery have significant and different effects on customers' choice of a type of response.

Additional research should try to determine the effects of different variables and their potential interactions. Further work incorporating different subjects, service settings or additional combinations of complaining behaviours is needed to validate the results of this investigation.

This study highlights the importance of effective management of consumer responses to double deviations. Even when it is not possible to respond to customer complaints the first time, firms can learn from double deviations. Furthermore, new market entrants and competitors who want to capture consumer switchers should recognise what happened and try to avoid making the same mistakes.

This study is the first to examine the consequences of double deviations by considering the multi‐dimensional nature of complaint behaviour and the existence of simultaneous responses. This study is based on analyses of real service failures and recovery strategies and actual customer behaviour.

The purpose of this paper is to focus on the impact of third‐party complaints on firm performance. It aims to use a financial measurement of performance, the variation in firm share returns in the stock market following the publication of the Annual Complaints Service Report by the Bank of Spain. Building on modern theory of financial markets and resource‐based theory, it aims to propose that the release of information about third‐party complaints negatively influences firms' stock returns.

The empirical research is conducted on a sample of Spanish banks to which complaints were made and which were quoted on the Spanish Stock Exchange between 1992 and 2002. It employs the event study methodology.

The results of the study indicate that the release of the annual report of the Complaints Service of the Bank of Spain negatively affects the market's assessment of future cash flows.

Banks of a large size were selected, which restricts generalisation of the conclusions. Future research is needed to validate the findings across a wider sample base (e.g. cross‐nationally). The study described is conducted in the banking industry. Therefore, more research is needed to examine the effects of third‐party complaints on performance in different industry contexts (e.g. airlines, mobile phone industry).

Firms should invest in improving complaint management systems in order to prevent future complaints reaching the third‐party level. The study results show that this information damages corporate reputation and it is negatively received by investors.

The study meets the demands for greater attention to be given to third‐party complaints made by various authors. It is also an attempt to better understand the chain from service and marketing effort to financial outcome and to link customer assets such as complaints to the value of the firm.

Research has shown that more than half of attempted recovery efforts only reinforce dissatisfaction, producing a “double deviation” effect. Surprisingly, these double deviation effects have received little attention in service marketing literature. To fill this gap, this paper aims to develop and empirically test a model of how customers form satisfaction judgments in double deviation scenarios. The paper seeks to propose that emotions have a distinct and separate influence from perceived justice in explaining satisfaction with failed recovery.

The paper employs the critical incident technique to obtain data from banking customers and apply latent variable path analysis to test the proposed model.

The results of the study support the model and highlight the important role of specific recovery‐related emotions in double deviation contexts.

Future research should try to determine whether different specific negative emotions and/or the interactional and procedural components of justice affect post‐recovery judgments in double deviation scenarios.

The results show that specific emotions such as anger play an important role in explaining satisfaction with service recovery. The paper proposes that in future, customer satisfaction surveys could include items measuring specific emotions. This could increase their efficiency as managerial tools.

To the authors' knowledge, this has been the first attempt to model the effect of specific emotions triggered by the service recovery on satisfaction with service recovery and to empirically test a model of satisfaction with service recovery in double deviation scenarios. Furthermore, this study is based on the analysis of real service failures and recovery strategies.

This study aims to examine the relationships between a firm's corporate social responsibility (CSR) activities and its performance and risk. The authors hypothesize that industry-level effects are highly determinant of the sign and magnitude of these relationships to establish a ranking of industries to identify the position of the most prominent tourism-related industries: hotels and airlines. Based on the cybernetic model of decision making and the heuristics thereof, shareholders base their investment decisions derived from CSR announcements on the idea that the industries behave differently; their fixed costs being a relevant factor.

The authors estimate the industry-specific effects of CSR initiatives on firms' performance and risk using a sample of 583 announcements from the Spanish Stock Market.

The results show that while CSR announcements have a positive effect on performance when the authors do not account for industry-specific factors, once the authors incorporate these factors into the analysis, the authors find that firm performance and risk vary quite substantially as a function of the industry to which the firm belongs. Interestingly, while the hotel industry presents an average behavior (standing at 9th position in returns, 15th in terms of risk, and 8th according to the ratio returns/volatility), the airline industry presents the worst situation of all industries: last in performance and last in risk.

The results help managers assess their decisions and allocate CSR resources optimally.

This article is the first attempt to empirically test and comprehensively detect the different relationships between CSR and firm performance across industries.

The objective of this study is to examine the relationships that exist among the attributions, the affect and behavioural intentions of consumers who suffer delays in services. As a new element, we propose to consider two different affective dimensions: anger (emotional reaction) and satisfaction with the service (cognitive and emotional evaluation). The methodology employed is based on structural equation modeling and the empirical application in the airline industry, which was carried out in Spain, demonstrates the existence of the sequence “attribution‐affect‐behavioural intention”, with anger being the mediator in the relationship between the attribution of control on behavioural intention (propensity to complain and repurchase intentions).

Companies are currently facing the challenge of understanding how their business is affected by the large volume of opinions continually generated by their stakeholders in social media regarding their intangible assets (experiences, emotions and attitudes). With this in mind, the purpose of this paper is to present an innovative management model, named E2AB, to measure and analyse reputational intangibles from digital ecosystems and their impacts on tangible assets.

The methodology applied was big data and business intelligence techniques. These methods were used in the computing process to obtain daily data from every asset guarantees that the model is validated with robust data. This model has been corroborated using data from the banking sector, specifically 402,383 net data inputs from the digital ecosystems.

This study illustrates the existence of a holistic influence of intangible assets over tangible assets. The findings demonstrate complex relationships between tangible and intangible assets, determined not only by the type of variable but also by its valence and intensity.

These findings may help chief communication officers and general managers a better understanding of how intangible assets extracted from online users’ opinions are related to their organisation’s tangible assets plus a chance to find out about their impact and how to manage them for a practical and agile decision making in real time.

It is a pioneering work in establishing a model, which demonstrates transversal and holistic relationships between relational intangible and tangible assets of firms from digital ecosystems, using business intelligence techniques.