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The purpose of this study is to investigate the motivations, attitudes and intentions towards luxury dining in airplane themed restaurants (ATRs). The moderating roles of desire to fly, desire for luxury and fear of missing out (FOMO) towards attitude and intention to embark on this ATR experience are also investigated.

Data are collected through a consumer panel. A total of 315 valid responses were analysed using exploratory factor analysis, confirmatory factor analysis and multi-group moderation. To enhance ecological validity, a stimulus for the Singapore Airlines A380 Restaurant @Changi was created to ensure complete understanding of the product offering by the participants.

Three motivation factors were discovered – novelty, escape and supporting reliving. Interestingly, it was also found that the attitude towards ATR partially mediated the relationship between supportive reliving and intention towards ATRs. Disposition towards FOMO was found to moderate the effect of attitude towards ATR on intention towards ATR. Negative effect between escape motivation and attitude towards the ATR from the moderation analysis for desire for luxury and desire to fly shows that people are still hesitant to accept the ATR as a replacement to satisfy their salient needs for luxury travel.

Insights of this study demonstrate that local airlines could pivot their business through innovative offerings during the pandemic. The ATR concept can be effectively marketed by appealing to hedonistic and nationalistic needs and to avoid positioning it as an alternative for flying.

This is a novel concept introduced during the COVID-19 pandemic. Unprecedentedly, it uncovers the motivations, attitudes and intentions towards luxury dining in ATRs as a means to compensate for the pent-up desire to relive the experience of air travel.

Online privacy pertains to an individual’s capacity to regulate and oversee the gathering and distribution of online information. Conversely, online privacy concern (OPC) pertains to the protection of personal information, along with the worries or convictions concerning potential risks and unfavorable outcomes associated with its collection, utilization and distribution. With a holistic approach to these relationships, this study aims to model the relationships between digital literacy (DL), digital data security awareness (DDSA) and OPC and how these relationships vary by gender.

The participants of this study are 2,835 university students. Data collection tools in the study consist of personal information form and three different scales. Partial least squares (PLS), structural equation modeling (SEM) and multi-group analysis (MGA) were used to test the framework determined in the context of the research purpose and to validate the proposed hypotheses.

DL has a direct and positive effect on digital data security awareness (DDSA), and DDSA has a positive effect on OPC. According to the MGA results, the hypothesis put forward in both male and female sub-samples was supported. The effect of DDSA on OPC is higher for males.

This study highlights the positive role of DL and perception of data security on OPC. In addition, MGA findings by gender reveal some differences between men and women.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2023-0122

Supply chain agility (SCA) is the primary strategy for reducing impacts and quick recovery when supply chains experience a disruption risk, such as the COVID-19 pandemic. This study will investigate how SCA can be achieved through supply chain information sharing (SCIS) under the different dependence relationships (DR) with suppliers or customers. The purpose of this paper is to investigate this issue.

Based on information process and resource dependency theories, this study constructs and empirically tests a proposed model of the relationships amongst the three dimensions of SCIS and the two areas of SCA and the contingency effects of two types of DR on those relationships. Using a dataset collected from 400 manufacturers in China, the authors tested this theoretical model using multi-group and structural path analysis.

The results of the structural path and multi-group analyses show that (1) all dimensions of SCIS are positively correlated with both areas of SCA and (2) dependence on the supplier and dependence on the customer have completely different impacts on the relationship between SCIS and SCA.

This study can improve the understanding of the multidimensional concepts of SCIS and SCA and relationships between them under two different DR conditions in the Chinese manufacturing setting. It contributes to IS and the SCA literature and provides theoretically driven and empirical explanations for the diverse dynamics between the dependence on the supplier and customer.

There is no consensus on the most effective way to foster entrepreneurship in educational institutions, and educational policies on entrepreneurial activity differ significantly amidst organizations and contexts. Thus, the objective of this research is to analyze influence of the college environment and entrepreneurial characteristics on the entrepreneurial intention of Brazilian high school/technical students.

The empirical research used partial least squares structural equation modeling (PLS-SEM) and a sample of 384 students of technical courses, such as Administration, Systems Development, Chemistry, Secretariat, among others.

The proposed model was validated, and the hypotheses were confirmed, proving suitable for high school/technical education. Assessing the high school environment with this model can help determine each organization's strengths and weaknesses and, indeed, the impacts on the ecosystems in which it operates. The results of the multi-group analysis indicate differences concerning the courses as well.

The main limitations involve non-probabilistic sampling procedures and the collection having been carried out with a single cross-section.

For managers and teachers, this article presents indicators to qualify the activities of the educational environment, considering teaching activities, extracurricular activities, fairs, actions of teachers and students, among other initiatives.

The article contributes to high school managers, particularly in technical schools, so that they understand the factors that influence the profile and entrepreneurial intention of students; in other words, something that can impact the lives of thousands of students, teachers and the community itself.

This research presents a novel analysis of the antecedents that drive student entrepreneurship in an underexplored educational context in a developing country. The results show the necessary conditions for technical schools to foster entrepreneurial activity, feeding innovation ecosystems with entrepreneurial talent.

There is limited research on the behavior of different categories of space tourists as identified by different types of space tourism. To address this deficiency, the purpose of this study is to examine what factors make consumers participate in orbital and/or suborbital space tourism, along with three dimensions of motivation, constraint and artificial intelligence. To achieve this study’s goals, a comprehensive research model was developed that included three dimensions of intrinsic and extrinsic motivation, intrapersonal and interpersonal constraint and awareness of and trust in artificial intelligence, in comparing orbital and suborbital space tourism groups.

A questionnaire was carried out with respondents who wanted to participate in orbital (n = 332) and suborbital (n = 332) space tourism in the future. Partial least squares-structural equation modeling, fuzzy-set qualitative comparative analysis, multi-group analysis and deep learning were used to understand potential space tourist behavior.

Extrinsic motivation has the greatest positive impact on behavioral intention, followed by awareness of and trust in artificial intelligence, while intrapersonal constraint strongly negatively affects behavioral intention. Surprisingly, interpersonal constraint is insignificant by partial least squares-structural equation modeling but is still one of sufficient causal configurations by fuzzy-set qualitative comparative analysis. Interestingly, the two types of space tourism have very distinct characteristics.

This study created a comprehensive integrated research model with three dimensions of motivation, constraint and artificial intelligence, along with potential orbital and suborbital space tourist groups, to identify future consumer behavior. Importantly, this study used multi-analysis methods using four different approaches to better shed light on potential orbital and suborbital space tourists.

对不同类型太空旅游所识别的不同类别太空游客行为的研究有限。 为了解决这一缺陷, 这项工作研究了哪些因素使消费者参与轨道和/或亚轨道太空旅游, 以及动机、约束和人工智能三个维度。 为了实现研究目标, 在比较轨道和亚轨道太空旅游群体时, 开发了一个综合研究模型, 包括内在和外在动机、内在和人际约束以及对人工智能的认识和信任三个维度。

对希望在未来参与轨道 (n = 332) 和亚轨道 (n = 332) 太空旅游的受访者进行了问卷调查。 利用偏最小二乘法 (PLS)-结构方程模型 (SEM)、模糊集定性比较分析 (fsQCA)、多组分析和深度学习来了解潜在的太空游客行为。

外在动机对行为意图的积极影响最大, 其次是对人工智能的认识和信任, 而内在约束对行为意图有强烈的负面影响。 令人惊讶的是, 人际约束对于 PLS-SEM 来说是微不足道的, 但对于 fsQCA 来说仍然是充分的因果配置之一。 有趣的是, 这两类太空旅游具有非常鲜明的特点。

这项工作创建了一个全面的综合研究模型, 具有动机、约束和人工智能三个维度, 以及潜在的轨道和亚轨道太空旅游群体, 以确定未来的消费者行为。 重要的是, 这项研究采用了多种分析方法, 使用四种不同的方法来更好地揭示潜在的轨道和亚轨道太空游客。

existe una investigación limitada sobre el comportamiento de las diferentes categorías de turistas espaciales identificados por diferentes tipos de turismo espacial. Para abordar esta deficiencia, este trabajo examina qué factores hacen que los consumidores participen en el turismo espacial orbital y/o suborbital, junto con tres dimensiones de motivación, restricción e inteligencia artificial. Para lograr los objetivos del estudio, se desarrolló un modelo de investigación integral que incluía tres dimensiones de motivación intrínseca y extrínseca, restricción intrapersonal e interpersonal, y conocimiento y confianza en la inteligencia artificial, al comparar grupos de turismo espacial orbital y suborbital.

se realizó un cuestionario con los encuestados que querían participar en el turismo espacial orbital (n = 332) y suborbital (n = 332) en el futuro. Se utilizaron modelos de ecuaciones estructurales (SEM) de mínimos cuadrados parciales (PLS), análisis comparativo cualitativo de conjuntos borrosos (fsQCA), análisis multigrupo y aprendizaje profundo para comprender el comportamiento potencial del turista espacial.

la motivación extrínseca tiene el mayor impacto positivo en la intención de comportamiento, seguida de la conciencia y la confianza en la inteligencia artificial, mientras que la restricción intrapersonal afecta negativamente la intención de comportamiento. Sorprendentemente, la restricción interpersonal es insignificante por PLS-SEM, pero sigue siendo una de las configuraciones causales suficientes por fsQCA. Curiosamente, los dos tipos de turismo espacial tienen características muy distintas.

este trabajo creó un modelo de investigación integral integral con tres dimensiones de motivación, restricción e inteligencia artificial, junto con posibles grupos de turistas espaciales orbitales y suborbitales para identificar el comportamiento futuro del consumidor. Es importante destacar que este estudio empleó métodos de análisis múltiple utilizando cuatro enfoques diferentes para arrojar mejor luz sobre los posibles turistas espaciales orbitales y suborbitales.

A new type of digital-based worker emerged during the COVID-19. As a result, during the adjustment to this scenario, family, resources and emotions were impacted. Technological and emotional skills were crucial to give continuity and certainty to business. However, despite benefits, remote working has negative consequences, especially in well-being perception. This study proposes a model to measure the impact on the well-being perception of workers that adapted their job to remote positions during a pandemic and offers a valuable framework to understand future emerging changes in remote working and the relationship with well-being perception, especially during crisis scenarios.

The study used an online questionnaire and a structural equation methodology by partial least squares (PLS) using SmartPLS 3.3.3. Data were obtained from 567 respondents workers who adapted to their jobs during the pandemic in Mexico.

The results showed that six model dimensions: human relations (RH), emotions (E), well-being behaviors related to Covid-19 (CB), family economics (EF), routines and habits (RS) and family life (VF) were positive and significant to reflect the Index of Perception of Well-being (iWB) using a structural equation model. This indicates how the lockdown process changed people's perception of well-being and concerns. According with this, for remote working employees, two dimensions were relevant: RH and EF. This finding is relevant because during emergency lockdown, these workers needed to adapt their activities and were separated from all human interactions.

The researchers’ model of Index of Perception of Well-being (iWB) has conceptual and practical implications. From a conceptual point of view, it offers a methodology to measure the relationships between remote working and employees' well-being perception. While for practice, it offers managerial implications to better manage remote working adaptation without compromising people's well-being to create future innovation management environments (IME) for organizations.

This study contributes to develop research about changes in workers' well-being perception during digital adaptation.

Coronavirus disease (COVID-19) was declared as a pandemic since COVID-19's widespread outbreak and the hospitality industry has been the hardest hit due to lockdown. Consequently, hospitality workers are suffering from the negative aspects of mental health. In the event of such a crisis, this study aims to explore the link between unemployment and home isolation to the willingness to choose electronic consultation (e-consultation) by exploiting psychological ill-being and behavioural intention (BI) with marital status as a moderator.

A quantitative methodology is applied to primary data collected from 310 workers from the hospitality industry through an online survey.

Findings of this study suggest that the usage of the e-consultation service can be adopted using three levels. There are valid reasons to conclude unemployment and home isolation are linked to higher rates of psychological health behaviours, which can result in stigma, loss of self-worth and increased mortality. The adverse effect is higher for single individuals than for married people.

The study focussed on e-consultation, BI coupled with the Fishbein scale and a classification model for the prediction of willingness to choose e-consultation with the extension of Theory of Planned Behaviour (TPB).

The application of mobile augmented reality (MAR) for enhancing user experiences and consumer patronizing intention has been the focus of recent MAR literature. Few studies examine the differences between apps. This study fills the research gap by examining how consumers assess their experiences with different MAR applications and how their decision-making process is performed, particularly in the setting of smartphones.

A web-based online survey was administered to collect data on consumers' perceptions of two different MAR apps: utilitarian and hedonic apps. Reliability and validity of the measurement scales, non-response bias and comment method bias were assessed. With the support of measurement model, partial least square (PLS) was employed to test the research hypotheses.

This study reveals that the technological attributes of augmented reality (AR) apps have significant effects on consumer perceptions of their utilitarian and hedonic benefits, including interactivity, visual quality, service quality, technicality and aesthetics. Moreover, this study shows that consumers of hedonic apps place more importance on their enjoyment with the MAR app; consumers of utilitarian apps focus more on the accrued functional values. The findings provide practical insights for retailers in AR marketing and application development in the MAR environment.

This study provides a comprehensive viewpoint for analyzing ongoing use and purchase intentions simultaneously in a unified theoretical framework. In addition, it compares different types of MAR apps: hedonic and utilitarian. Furthermore, it is one of the first few studies attempting to provide a comprehensive understanding of the predictive role of MAR technologies by incorporating privacy concerns into the research model based on user and gratification framework.

The study examines the influence of various congruity factors (economic, safety and Health, hedonic, and functional) on tourists' satisfaction with sharing economy-based services.

A single cross-sectional design is used in the study, with 513 travellers surveyed directly at three different tourist destinations in India. The partial least squares-structural equation modelling approach is used to analyse the data.

The research shows that congruity factors significantly influence tourists' satisfaction with sharing economy-based services. Moreover, satisfaction is strongly associated with recommendation intention for these services and customer loyalty. Additionally, the intention to recommend directly leads to increased customer loyalty.

The results offer pertinent insights for stakeholders in the sharing economy, including tourism marketers, policymakers and corporations. Aligning services with the identified congruity factors can enhance user satisfaction, boost recommendation rates and foster long-standing customer loyalty.

This study stands out for its thorough investigation into how congruity factors influence tourist satisfaction within the context of the sharing economy. Additionally, by focusing on specific demographic differentiators, such as age (gen Z or old gen) and gender (male or female), the study provides a nuanced understanding that enriches the existing body of knowledge.

Social media sites facilitate electronic word of mouth (eWOM) communication among consumers of diverse cultures and ethnicities. Based on the theory of planned behaviour (TPB), the present research proposes a conceptual framework for minority consumers' engagement in eWOM associated with the mainstream culture. The model incorporates social capital and social interaction as key factors that affect cross-cultural eWOM communication between minority and mainstream consumers. This research also aims to explore the responses of minority consumers to eWOM communications originating with members of the majority group.

A structural equation modelling (SEM) procedure was applied to data collected from social media (Facebook) users (N = 539) from two minority communities: Israeli Arab and Israeli Ultra-Orthodox Jewish minorities.

The findings show that: (a) minority consumers' engagement with eWOM is indirectly related to social capital, (b) this relationship is mediated by minority consumers' attitudes and their subjective norms regarding eWOM engagement with dominant cultural groups, (c) social interaction of minorities with the dominant culture enhances the influence of social capital on eWOM engagement and (d) behavioural engagement with eWOM varies across cultural minorities, depending on the minority group’s unique cultural characteristics.

The findings have managerial implications for practitioners who use social media in their marketing and business activities, as they demonstrate that the effectiveness of eWOM communication is contingent on the cultural characteristics of the ethnic minority consumer groups being targeted by managers.

The present research contributes to the theory of consumer engagement by demonstrating that engagement is contingent on the intercultural social context in which eWOM is communicated.