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There is a growing trend that hospitality brands are allowing employees to personalize their workplace display. Following this trend in practice, this paper aims to examine the influence of employees’ conspicuous consumption cues (ECCCs) on consumer responses toward service failures in luxury dining.

Two experiments were conducted. Study 1 adopted a 2 (ECCC: present vs absent) × 2 (employee physical attractiveness: control vs high) between-subject experiment to test the effect of ECCCs in interactional service failures. Study 2 tested the hypotheses in core service failures.

The results of Study 1 indicate that the presence of ECCCs lowers consumers’ negative behavioral intentions in interactional service failures when employees are highly attractive. When employees’ attractiveness is not distinctive, however, ECCCs lead to higher levels of negative behavioral intentions. Mediation test results demonstrate that perceived employee service competence drives this effect. Results of Study 2 show that the joint effect of ECCCs and physical attractiveness is attenuated when core service failures are not attributable to the service employee.

Extending previous research, this study reveals the impact of employees’ physical characteristics on consumers’ post-failure responses. In addition, the effect of ECCCs on consumers’ post-failure responses was driven by the psychological process of perceived competence.

Findings of this research emphasize the importance for hospitality brands to practice tight control over employee esthetics. For hospitality brands that embrace individuality in the workplace, results of this research highlight the importance of service training in customer interactions.

This research examines an underexplored phenomenon in the hospitality service setting: employees’ display of conspicuous consumption cues and its impact on consumers’ responses to service failures.

The purpose of this paper is to present initial findings from a vulnerability assessment based on the perceptions of practitioners working in four tourism and hospitality sectors in Wuhan and Hubei Province, namely, cruise lines, hotels, travel agencies and touristic attractions.

The research note focuses on the coronavirus (COVID-19) outbreak from January to March 2020. Using the destination sustainability framework and an “interpretation” mixed methods research design, the authors analyze phone interviews (n = 151) and subsequent online surveys (n = 370) to assess sector-specific perceptions of exposure, sensitivity and system adaptiveness.

Overall, findings paint a grim picture of each sector in the short-term. All respondents reported an immediate economic loss due to COVID-19, as well as recovery concerns and uncertainties. Immediate actions for addressing these issues centered on internal cost control and governmental subsidies, while anticipated next steps focused on product adjustment, a transformation of business structures and seeking governmental guidance and policies in restoring market confidence. Findings also allude to future strategies/directions.

This study is limited in its focus on practitioner views in the immediate COVID-19 outbreak. Implications highlight a crucial strategic dependence of each sector on effective government/managerial communication and support, with smaller, local businesses needing particular attention in crisis situations.

To the authors’ knowledge, this research note is the first comprehensive study presenting vital information pertaining to the impact of COVID-19 on tourism and hospitality businesses from a large group of business leaders in the site of the initial outbreak (i.e. Wuhan and Hubei Province). With the highly infectious COVID-19 representing an ongoing threat for populations worldwide, this paper hopes this research note provides valuable insights for practitioners in other vulnerable regions, as well as for researchers examining strategies for resilience against this and future disasters.

This study aims to develop comprehensive definitions, conceptualizations and measures of four internal brand management (IBM) outcomes, namely, brand understanding, brand identification, brand commitment and brand citizenship behaviour (BCB). In doing so, it also aims to propose a model, which considers the relationships across these outcomes.

Data were collected via an online survey of 375 employees who work in service organizations, sourced from an Australian, Web-based market research list.

In addition to the indirect effect of brand understanding on BCB via affective IBM outcomes (i.e. brand identification and brand commitment), the study exposes a direct effect of brand understanding on BCB. Therefore, the study shows that BCB is affected by cognitive and affective antecedents.

Because this study focuses on IBM outcomes, future studies could propose and test relevant antecedents and moderators. As the empirical basis of this study comes primarily from the tourism and hospitality industry in one domestic market, the study should be replicated in other industries and countries to ensure the generalizability of the identified relationships.

This study not only delivers IBM outcome measures but also empirically validates that employees’ understanding of the brand is a foundation for affective and behavioural IBM outcomes. Therefore, managers, especially in service organizations, should provide sufficient IBM practices to enable such brand understanding.

This study contributes to IBM literature by developing comprehensive definitions, conceptualizations and measures of four important IBM outcomes. This study is the first to include brand understanding, brand identification, brand commitment and BCB simultaneously.

The purpose of this paper is to focus on the pricing strategy for viral marketing in the context of the hotel industry and propose three typical price‐network size schedules to be tested. The paper further proposes controlled experiments in hotel industry context to examine the performance of those schedules.

A simulated hotel booking web site with basic reservation functions will be constructed. Participants should be randomly drawn and asked to encourage their friends from social networks to book with the participant to achieve a better price. Each participant will be given a special promotion code embedded with different pricing information. The number of customers attracted, total revenue and time to achieve a sell‐out was collected after the experiments.

These were the expected performance differences associated with different network pricing strategies in the viral marketing campaigns.

Since participants do not need to pay for the booking, it is difficult to control their intentions. Also, in the quantity discount scenario, individual preference may not be met.

First, this paper proposed the possible pricing strategy to promote the effectiveness of viral marketing in hotel industry. Second, by initiating business with customers directly through viral marketing, hotels can have more control over the inventory and product prices.

Through a better understanding in viral marketing from the perspective of network discount strategies, the marketing opportunities enabled by social networks can be extended. This paper suggests that employing a price‐network size schedule that offers deduction in price as network size increases may be an effective tool in attracting potential customers to make purchases in a timely manner. This paper further suggests experiments to test typical pricing schedules that could be utilized in practices. The proposed experiments can provide a deeper insight into the implementation of viral marketing for hotel managers.

The purpose of this study is to explore polygamous program loyalty in hotel loyalty programs and the relationship between members’ behavioral loyalty and their perceptions of the program effectiveness.

Descriptive statistics, discriminant analysis, ordinary least square regression and one-way ANOVA methods.

This study suggests that the flexibility to purchase points in a loyalty program is significantly associated with the polygamous program loyalty. Members will stay in only one program if they perceive such flexibility. Although members tend to emphasize purchasing accommodation from the loyalty programs’ hotels, they do not necessarily advocate or pay price premiums for the brand. Compared with basic members, elite members exhibit higher levels of loyalty behaviors in general, but not in terms of paying price premiums.

The results suggest that how customers value a loyalty program can differentiate the number of membership(s) they have. Increasing the flexibility of point purchase in hotel loyalty programs encourages customers to stay in only one program. With a majority of the participants in the study being senior travelers, the results and implications should be generalized only in the senior market. A larger and more diverse sample is recommended for future research.

If loyalty programs seek to keep members from joining other loyalty programs, they should increase members’ likelihood to achieve their expected benefits such as increased flexibility of point purchase. In addition, loyalty programs should encourage, recognize and incentivize members’ reciprocal behaviors based on the norm of reciprocity to build a reciprocal chain in loyalty programs. However, in seeking sustained loyal behavior, loyalty programs need to demonstrate value beyond transactional rewards.

This paper explores the reason why customers join multiple loyalty programs (i.e. polygamous program loyalty) and identifies a broken reciprocity link in hotel loyalty programs. Many members primarily focus on the utilities of loyalty programs rather than contributing back to the program; therefore, the norm of reciprocity is suggested to improve loyalty program effectiveness.

The precise segmentation of brain tumors is the most important and crucial step in their diagnosis and treatment. Due to the presence of noise, uneven gray levels, blurred boundaries and edema around the brain tumor region, the brain tumor image has indistinct features in the tumor region, which pose a problem for diagnostics. The paper aims to discuss these issues.

In this paper, the authors propose an original solution for segmentation using Tamura Texture and ensemble Support Vector Machine (SVM) structure. In the proposed technique, 124 features of each voxel are extracted, including Tamura texture features and grayscale features. Then, these features are ranked using the SVM-Recursive Feature Elimination method, which is also adopted to optimize the parameters of the Radial Basis Function kernel of SVMs. Finally, the bagging random sampling method is utilized to construct the ensemble SVM classifier based on a weighted voting mechanism to classify the types of voxel.

The experiments are conducted over a sample data set to be called BraTS2015. The experiments demonstrate that Tamura texture is very useful in the segmentation of brain tumors, especially the feature of line-likeness. The superior performance of the proposed ensemble SVM classifier is demonstrated by comparison with single SVM classifiers as well as other methods.

The authors propose an original solution for segmentation using Tamura Texture and ensemble SVM structure.

The new programming period of 2021–2027 of the European Union (EU) Common Agricultural Policy requires reconsidering the policy measures. In the new period, the European Commission is to allow each member state (MS) developing eco-schemes to support and/or incentivise farmers to observe agricultural practices beneficial for the climate and the environment beyond their mandatory requirements. The purpose of this paper is to compare the performance of organic and conventional family farms.

Organic farming under the organic farming measure of the Rural Development Programme is one of the most widely applied sustainable farming practices in the EU as well as in Lithuania. By assessing the ex post economic impact of the organic farming measure on farm performance indicators, the authors seek to reveal possibilities and obstacles for the implementation of sustainable farming practices. A counterfactual ex post impact assessment method – propensity score matching (PSM) analysis – was used to evaluate ex post economic impact of the organic farming measure on the performance of farming indicators.

The application of the PSM allowed assessing both the effectiveness of the implemented measure and possibilities for applying this measure in the future. The research has revealed that organic farming is less profitable and the gap between farm income in organic and conventional farms has increased during the period of 2007–2013.

The most comprehensive economic information about the farm activities from the Farm Accountancy Data Network (FADN) was used for the ex post economic impact evaluation of the organic farming measure in Lithuania. The matched groups of Lithuanian family farms (organic and conventional) were compared. The results of the research provide a new knowledge about the effectiveness of the organic farming measure in Lithuania and suggest the ways of their improvement in the future. The results can also be generalised to other countries with similar agricultural structure.