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The immature research endeavor on refugee entrepreneurship has not adequately covered the success factors of refugees. The current work aims to address this gap through the theory of planned behavior and the theory of procedural utility to identify the success factors of refugee entrepreneurs in the tourism and hospitality industry.

The current work is based on a qualitative approach drawing on data from 24 semistructured interviews with refugee entrepreneurs in Istanbul-Türkiye.

The thematic analysis of the data set revolved around three interrelated themes: personal, organizational and environmental factors, which offer a better understanding of the elements defining successful refugee entrepreneurs.

The paper also offers various practical implications and policy recommendations for the economic integration of refugee entrepreneurs in the public and private sectors.

The results enhance the understanding of successful refugee entrepreneurship in their new hosting environment, contributing to the existing research agenda by identifying the key themes of refugee entrepreneurs’ success factors.

COVID-19, like many previous crises, proved once more that some hospitality and tourism organizations are more crises resilient than others. Despite increasing frequency and magnitude of crises, little is known about the features of crises resilient organizations and mitigation strategies they adopt. If the characteristics of such resiliency are identified, those strengths might be targeted. Hence, the purpose of this study is to identify characteristics of crises resilient organizations by analyzing the interface between different organizational characteristics, recovery strategies they adopted and impacts of COVID-19 on individual hospitality and tourism organizations.

A global sample of 202 respondents from 20 countries and four continents, representing different sectors of the hospitality and tourism industry, participated in the survey. Descriptive analysis and cluster analysis were used to rank the items and group hospitality and tourism organizations based on their crises resiliency.

Service quality, loyal customers, branding, high paid in capital, domestic market base, hygiene and safety image, information and communication technology adoption, product and market diversification and restructuring debts emerged as major characteristics and strategies of crises resilient organizations. Using cluster analysis, four different groups of organizations were identified. Based on the impacts of COVID-19 on these organizations, Cluster-1 emerged as significantly more crises resilient, whereas Cluster-4 organizations were significantly more vulnerable to crises. Their characteristics and mitigation strategies they adopted were discussed.

The paper not only identified features of crises resilient organizations and successful mitigation strategies but also measured their impact on various performance indicators. Future studies might use characteristics, mitigation strategies and performance indicators identified in this study.

Based on the findings, tourism organizations would focus on strengthening characteristics and implementing strategies that make crises resilient organizations. Public bodies and destination management would also set their decision criteria based on these findings to create a more resilient tourism industry.

This research not only identifies how hospitality and tourism organizations are affected by COVID-19 but also how these impacts change based on different organizational characteristics and strategies. Understanding which organizational characteristics affect the crises vulnerability of hospitality and tourism organizations might inform risk and crises management literature and structural design elements in tourism businesses, hence offer both theoretical and practical implications.

Disruptions at ports may destroy the planned ship schedules profoundly, which is an imperative operation problem that shipping companies need to overcome. This paper attempts to help shipping companies cope with port disruptions through recovery scheduling.

This paper studies the ship coping strategies for the port disruptions caused by severe weather. A novel mixed-integer nonlinear programming model is proposed to solve the ship schedule recovery problem (SSRP). A distributionally robust mean conditional value-at-risk (CVaR) optimization model was constructed to handle the SSRP with port disruption uncertainties, for which we derive tractable counterparts under the polyhedral ambiguity sets.

The results show that the size of ambiguity set, confidence level and risk-aversion parameter can significantly affect the optimal values, decision-makers should choose a reasonable parameter combination. Besides, sailing speed adjustment and handling rate adjustment are effective strategies in SSRP but may not be sufficient to recover the schedule; therefore, port skipping and swapping are necessary when multiple or longer disruptions occur at ports.

Since the port disruption is difficult to forecast, we attempt to take the uncertainties into account to achieve more meaningful results. To the best of our knowledge, there is barely a research study focusing on the uncertain port disruptions in the SSRP. Moreover, this is the first paper that applies distributionally robust optimization (DRO) to deal with uncertain port disruptions through the equivalent counterpart of DRO with polyhedral ambiguity set, in which a robust mean-CVaR optimization formulation is adopted as the objective function for a trade-off between the expected total costs and the risk.

Culture plays a significant role in shaping the decision of the youths to start the new venture, and Vietnam being one of the collectivist societies in Asia, it is critical to know whether culture plays any role in the formation of entrepreneurial intentions (EI) of the Vietnamese youth. However, there are limited studies in Vietnam that investigate the effect of culture on the EI of students. Hence, this study aims to integrate the direct influence of culture and personality factors in view of mediating role theory of planned behaviour components to measure the EI of students.

The data for this study were collected from 393 undergraduate/post-graduate university students using an online survey. The data were analysed using structural equation modelling to test the designed hypotheses of the study.

The study results showed that attitude (PA) towards entrepreneurship and perceived behavioural control (PBC) mediated the relationship between risk-propensity (RP) and EI, subjective norms (SN) and EI and also had a direct influence on EI. Risk-propensity was found to have a direct influence on students’ entrepreneurship intentions. Further, there was no direct influence of culture and SN on EI of students, but culture had a direct influence on SN, while SN indirectly influenced EI mediated by PA and PBC.

Only a few studies have been conducted to determine the role of culture affecting entrepreneurial intentions of the students in Vietnam, where strong emphasis is put on society and culture. The study demonstrates that culture plays a significant role indirectly, as the societal culture influences the close networks and family’s approval (SN) towards encouraging the youths to become entrepreneur and further this encouragement enhances the attitude and self-belief (PA and PBC) of an individual in their capabilities which affects their intentions (EI) to become an entrepreneur. Hence, this study adds this new important dimension of culture in existing academic literature in Vietnam’s context.

The purpose of this study is to test the effect of entrepreneurship education programs (EEPs) on the individual entrepreneurial orientation (IEO) by considering the innovativeness, proactiveness and risk-taking dimensions of undergraduate students and the role of these dimensions on the relationship between program inspiration (PI) and entrepreneurial intention (EI).

This study uses a pre- and post-test analysis with data from 1,423 undergraduate students from two emerging countries in Latin America: Colombia and Ecuador. To verify the effect of the EEP on innovativeness, proactiveness and risk-taking at two-time points, the analysis of median for the difference of two paired populations (Sign Test and the Wilcoxon signed-rank test) was used. In addition, structural equation modeling analysis under the covariance and multigroup approach was applied to test the relationship between PI, IEO and EI.

The results of this study show that the EEP enhances innovativeness, proactiveness and risk-taking whose effects are more prominent in Ecuadorian students. Equally importantly, the EEP benefits represented in PI translate into higher EI through the mediating effect of the IEO dimensions for both the Colombian and Ecuadorian contexts, where the findings suggest no significant differences between two groups.

The findings of this study contribute to a better understanding of entrepreneurship education's role in entrepreneurial competence's development and intention by revealing the role of IEO dimensions. This study is one of the first studies that applies the IEO to contribute to the literature on the relationship between entrepreneurship education and intention from an emotional entrepreneurial perspective.

The proposed model aims to consider the flying hours as a criterion to initiate maintenance operation. Based on this condition, aircraft must be checked before flying hours threshold is met. After receiving maintenance service, the model ignores previous flying hours and the aircraft can keep on flying until the threshold value is reached again. Moreover, the model considers aircraft age and efficiency to assign them to flights.

The aircraft maintenance routing problem (AMRP), as one of the most important problems in the aviation industry, determines the optimal route for each aircraft along with meeting maintenance requirements. This paper presents a bi-objective mixed-integer programming model for AMRP in which several criteria such as aircraft efficiency and ferrying flights are considered.

As the solution approaches, epsilon-constraint method and a non-dominated sorting genetic algorithm (NSGA-II), including a new initializing algorithm, are used. To verify the efficiency of NSGA-II, 31 test problems in different scales are solved using NSGA-II and GAMS. The results show that the optimality gap in NSGA-II is less than 0.06%. Finally, the model was solved based on real data of American Eagle Airlines extracted from Kaggle datasets.

The authors confirm that it is an original paper, has not been published elsewhere and is not currently under consideration of any other journal.

The goal of this paper is twofold: (1) to investigate how relatedness-supportive corporate social responsibility (CSR) initiatives influence brand happiness among retail bank customers through a mediating mechanism of customer participation in brand CSR movements; and (2) to analyze how relatedness-supportive CSR initiatives’ effect may be moderated by cause choice and customer-brand goal congruence.

Data were collected from 379 retail bank customers via a paper-and-pencil survey. The hypothesized moderated-mediation effects were tested using Hayes’ (2013) PROCESS (Model 3, Model 4 and Model 7).

Results show that relatedness-supportive CSR initiatives increase brand happiness among retail bank customers through increasing their participation in brand CSR movements. Furthermore, the use of customer determination in the choice of cause enhances the positive effect of relatedness-supportive CSR initiatives on customer participation in brand CSR movements. Similarly, when customers choose the cause and the customer-brand goal is congruent, the effect of relatedness-supportive CSR initiatives on brand happiness is stronger than when the customer-brand goal is incongruent and cause choice is not aligned.

This research is grounded on the relationship motivation theory (RMT), basic psychological needs theory and self-congruity theory to unpack the relationship between relatedness-supportive CSR programs on brand happiness. Integrating three research streams (i.e. CSR, brand management and retail banking), this study proposes customer participation in brand CSR movements as a novel mechanism and sheds light on how relatedness-supportive CSR interplays with cause choice/customer-brand goal congruence to affect brand happiness among retail bank customers in emerging markets.

Stainless-steel electromagnetic shielding (EMS) fabrics are widely applied as protective materials against electromagnetic interference (EMI). However, these fabrics primarily shield electromagnetic waves through reflection, which can lead to the formation of resonance effects that severely compromise their protective capabilities and potentially cause secondary electromagnetic pollution in the external environment.

In this paper, carbon nanotube fibers are added via spacing method to replace some stainless-steel fibers to impart absorbing properties to stainless-steel EMS fabric. The shielding effectiveness (SE) of the EMS fabrics across various polarization directions is analyzed. Additionally, a spacing arrangement for the carbon nanotube fibers is designed. The EMS fabric with carbon nanotube fibers is manufactured using a semi-automatic sample loom, and its SE is tested using a small window method test box in both vertical and horizontal polarization directions.

According to the experimental data and electromagnetic theory analysis, it is determined that when the spacing between the carbon nanotube fibers is less than a specific distance, the SE of the stainless-steel EMS fabric significantly improves. The fabric exhibits stable absorbing properties within the tested frequency range, effectively addressing the issue of secondary damage that arises from relying solely on reflective shielding. Conversely, as the spacing between the carbon nanotube fibers exceeds this distance, the SE diminishes. Notably, the SE in the vertical polarization direction is substantially higher than that in the horizontal polarization direction at the same frequency.

This study provides a new path for the development of high-performance EMS fabrics with good wave-absorption characteristics and SE.

The study seeks to propose a linear model by applying complexity theory and resource-based theory to investigate how hotels achieve competitive advantage and organizational performance during the Covid-19 pandemic from the perspective of hotel leaders.

Using a standardized questionnaire and convenience sampling approach hotel managers and administrative employees were surveyed online. A total of 354 participants from five provinces in China were examined using Smart PLS and fsQCA 3.0 for analysis. The utilization of the asymmetric method facilitates the elucidation of relationships that may not be readily apparent when employing conventional symmetric approaches.

The results display a significant impact of transformational leadership (TL) on market orientation (MO), competitive advantage (CA) and organizational performance (OP). The results show numerous combinations using fsQCA that can be utilized to increase OP within the hotel industry.

At present, there is a lack of substantial empirical evidence to comprehensively investigate the impact of TL on MO, CA and OP in the field of hospitality research specifically in the context of the Covid-19. The study also contributes by providing an explanation of the factors that contribute to the development of a higher organizational performance base through TL, MO and CA during the Covid-19 pandemic.