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The paper aims to propose an innovative two-stage decision model to address the sustainable-resilient supplier selection and order allocation (SSOA) problem in the single-valued neutrosophic (SVN) environment.

First, the sustainable and resilient performances of suppliers are evaluated by the proposed integrated SVN-base-criterion method (BCM)-an acronym in Portuguese of interactive and multi-criteria decision-making (TODIM) method, with consideration of the uncertainty in the decision-making process. Then, a novel multi-objective optimization model is formulated, and the best sustainable-resilient order allocation solution is found using the U-NSGA-III algorithm and TOPSIS method. Finally, based on a real-life case in the automotive manufacturing industry, experiments are conducted to demonstrate the application of the proposed two-stage decision model.

The paper provides an effective decision tool for the SSOA process in an uncertain environment. The proposed SVN-BCM-TODIM approach can effectively handle the uncertainties from the decision-maker’s confidence degree and incomplete decision information and evaluate suppliers’ performance in different dimensions while avoiding the compensatory effect between criteria. Moreover, the proposed order allocation model proposes an original way to improve sustainable-resilient procurement values.

The paper provides a supplier selection process that can effectively integrate sustainability and resilience evaluation in an uncertain environment and develops a sustainable-resilient procurement optimization model.

This study aims to examine differences in the perceived value of luxury as drivers of luxury purchase intentions between individualist and collectivist cultures (at a country level) and consumers of Muslim versus Christian religious backgrounds. Moreover, this study investigates how consumers’ acculturation to the global consumer culture (AGCC) impacts their perceived luxury values.

The authors conducted two online survey studies. The first study compares Muslim consumers in Kuwait versus Muslims consumers in the UK. The second study compares the UK Muslim sample to a UK Christian sample. The authors collected data from 600 and 601 respondents, respectively. Partial least square structural equation modeling was used to test this study’s research hypotheses.

The perceived personal values of luxury primarily drive consumers’ luxury purchase intentions. The hedonic value of luxury impacts luxury purchase intentions significantly more for Muslims in the UK than in Kuwait. No significant differences were observed between religions. Consumers’ AGCC exerts a positive impact on all included perceived luxury values and more strongly impacts perceived uniqueness for Muslims than for Christians.

The paper builds on an integrative luxury values framework to examine the impact of luxury values on consumers’ purchasing intentions by studying the moderating effect of culture and religion on these relationships. The study is partly set in Kuwait, an understudied country, and investigates a Muslim minority in the UK.

The purpose of this paper is to examine the influence of acculturation on immigrant consumer behaviours in their host country. Mainly, the role of acculturation and luxury brand purchasing intentions were investigated.

The research conducted an online survey of 400 Indian sub-continent born immigrants in Australia.

The findings confirm that the behaviour acculturation dimension of immigrants is significantly negatively related to their luxury brand purchase intention. Although immigrants' overall acculturation is significantly related to the luxury brand purchase intention, their language and identity acculturation have no significant effect, supporting the multidimensional framework’s influence on immigrant consumer behaviour. Immigrants with higher family income, younger age and less academic education show more luxury brand purchase intention; however, no moderating demography was found between the relationship of acculturation and purchase intention. In spite of the limitation of sampling, this study demonstrates that immigrants' level of acculturation influences their luxury brand purchase intention in the host country.

This study aims to help marketers formulate a unified segmentation strategy of purchasing luxury brands based on immigrants' acculturation and sociodemographic stance. This paper highlights the specific needs of ethnic consumers. Incorporating immigrant consumers into the marketplace will help create a homogenised society and more integration of immigrants into the larger society in the host country. Findings shed light on the role of culture change as a crucial element that affects immigrants' luxury brand purchase behaviour considering their integration level into the host country.

This study aims to investigate the potential positive correlation between inclusive leadership and hotel frontline employees’ (FLEs) customer stewardship (CS) behavior, using the conservation of resource theory as its foundation. It hypothesizes that role breadth self-efficacy (RBSE) acts as a mediating factor in this relationship, with employee conscientiousness serving as a significant moderating variable.

A time-lagged survey design was used, spanning over three rounds to collect data from 348 hotel FLEs and 42 managers. The analysis was conducted using structural equation modeling in Mplus version 8.6.

The study revealed a positive association between inclusive leadership and FLE CS, both directly and indirectly through RBSE. The results also showed that FLE conscientiousness moderated the direct link between inclusive leadership and RBSE, as well as the indirect link between inclusive leadership and FLE CS.

The evidence suggests that inclusive leadership behaviors among hospitality managers may elevate FLE CS behaviors, implying significant benefits for the success of hospitality organizations. Managers should focus on enhancing FLEs’ RBSE to further improve CS behaviors. In addition, by considering FLE conscientiousness, managers can craft targeted strategies to maximize the impact of inclusive leadership on CS behaviors.

This research contributes to the limited body of knowledge on the precursors of CS behavior by explaining both direct and indirect connections with inclusive leadership. Furthermore, it broadens the understanding of the conditions under which leadership most effectively shapes such behaviors.

This study aims to investigate the impact of financial and behavioural factors on investment decisions in the cryptocurrency market within the Gulf Cooperation Council (GCC).

The study uses the cross-sectional absolute deviation methodology developed by Chang et al. (2000) to determine the existence of herding behaviour during extreme conditions in the cryptocurrency market of four GCC countries: Bahrain, Saudi Arabia, Kuwait and UAE. In addition, a questionnaire survey was distributed to 322 investors from the GCC cryptocurrency markets to gather data on their investment decisions.

The study finds that the herding theory, prospect theory and heuristics theory account for 16.5% of the variance in investors' choices in the GCC cryptocurrency market. The regression analysis results show no multicollinearity problems, and a high F-statistic indicates the general model's acceptability in the results.

The study's findings suggest that behavioural and financial factors play a significant role in investors' choices in the GCC cryptocurrency market. The study's results can be used by investors to better understand the impact of these factors on their investment decisions and to develop more effective investment strategies. In addition, the study's findings can be used by policymakers to develop regulations that consider the impact of behavioural and financial factors on the GCC cryptocurrency market.

This study adds to the body of literature in two different ways. Initially, motivated by earlier research examining the impact of behaviour finance factors on investment decisions, the authors look at how the behaviour finance factors affect investment decisions of the GCC cryptocurrency market. To extend most of these studies, this study uses a regime-switching model that accounts for two different market states. Second, by considering the recent crisis and more recent periods involving more cryptocurrencies, the authors have contributed to several studies examining the impact of behavioural financial factors on investment decisions in cryptocurrency markets. In fact, very few studies have examined the impact of behavioural finance on cryptocurrency markets. Therefore, to the best of the authors’ knowledge, this study is the first of its kind to investigate how behavioural finance factors influence investment decisions in the GCC cryptocurrency market. This allows to better illuminate the factors driving herd behaviour in the GCC cryptocurrency market.

Due to the miniaturization of electronic devices, the increased current density through solder joints leads to the occurrence of electromigration failure, thereby reducing the reliability of electronic devices. The purpose of this study is to propose a finite element-artificial neural network method for the prediction of temperature and current density of solder joints, and thus provide reference information for the reliability evaluation of solder joints.

The temperature distribution and current density distribution of the interconnect structure of electronic devices were investigated through finite element simulations. During the experimental process, the actual temperature of the solder joints was measured and was used to optimize the finite element model. A large amount of simulation data was obtained to analyze the neural network by varying the height of solder joints, the diameter of solder pads and the magnitude of current loads. The constructed neural network was trained, tested and optimized using this data.

Based on the finite element simulation results, the current is more concentrated in the corners of the solder joints, generating a significant amount of Joule heating, which leads to localized temperature rise. The constructed neural network is trained, tested and optimized using the simulation results. The ANN 1, used for predicting solder joint temperature, achieves a prediction accuracy of 96.9%, while the ANN 2, used for predicting solder joint current density, achieves a prediction accuracy of 93.4%.

The proposed method can effectively improve the estimation efficiency of temperature and current density in the packaging structure. This method prevails in the field of packaging, and other factors that affect the thermal, mechanical and electrical properties of the packaging structure can be introduced into the model.

Existing classifications of inflationary regimes often rely on subjective judgments, hindering objectivity and accuracy. This study proposes a novel, data-driven approach to address this limitation.

We combine unsupervised clustering and classification tree methods to analyze Argentine inflation data from 1943 to 2022. Two smoothing techniques are introduced: a measure of temporal contiguity and a rolling majority rule method. The resulting regimes are compared to existing classifications based on their explanatory power for inflation-relative price variability.

Our method identifies distinct inflationary regimes, demonstrating significant improvement in objectivity and accuracy compared to existing literature. The regimes capture key historical periods and exhibit a strong association with inflation-relative price variability, providing valuable insights into Argentine inflation dynamics.

This study offers a novel methodological framework for constructing objective and accurate inflationary regimes, free from subjective biases. This approach holds potential for application to other contexts and contributes to a more nuanced understanding of inflation dynamics.

Whereas research on brand value co-creation is being conducted from a number of different perspectives, the psycho-social mechanisms that motivate consumers towards brand value co-creation have room for theory development. The purpose of this paper is to contribute to the literature on brand value co-creation in luxury consumption by analysing the role of a number of psychological constructs that impact consumers’ proclivity towards brand value co-creation.

The data for this study were collected through a large-scale questionnaire-based design and were evaluated using a multivariate statistical analysis technique.

The results show that the need for autonomy, the need for belonging and the need for uniqueness mediate the relation between consumers’ self-concept and proclivity towards brand value co-creation. The findings indicate that luxury brand managers need to develop a critical mix of co-creational strategies in a way in which the brand harmoniously satisfies a need for relational identity co-creation while also providing varied heterogenous interactions.

This research has been conducted in an emerging market of Asia, thus providing insights into what motivates co-creation in an under-researched but lucrative market segment. The Socio-Economic Class A of emergent countries has an inelastic purchasing power and disposable income to consume luxury brands. Only by understanding the underlying purchase motivations of these consumers can brand managers effectively benefit from their co-creation endeavours.

This paper aims to develop a comprehensive model on intra- and interpersonal emotion regulation (ER) in hospitality and tourism (H&T) service encounters.

A critical review and reflection of ER research from multiple disciplines was conducted. Methodologies appropriate for investigating ER were also reviewed.

A comprehensive framework was proposed to outline key influential factors, processes and consequences of intra- and interpersonal ER in service encounters in the H&T industry. Methodologies integrating advanced tools were suggested to measure complex and dynamic emotion generation and regulation processes in social interactions from a multimodal perspective.

The researchers developed a comprehensive conceptual model on both intra- and interpersonal ER based on a critical review of the most recent psychological research on ER. Various theoretical and methodological considerations are discussed, offering H&T scholars a solid starting point to explore dynamic emotion generation and regulation processes in complex social settings. Moreover, the model provides future directions for the expansion of ER theories, which have been mostly developed and tested based on laboratory research.

The proposed model addresses two critical issues identified in emotion research in the H&T field: the lack of a dynamic perspective and the neglect of the social nature of emotions. Moreover, the model provides a roadmap for future research.

Under the background of low consumer financial knowledge and accumulated credit card liabilities, this study investigates the relationship between financial knowledge and responsible credit card behavior using data from the 2019 China Household Finance Survey (CHFS). From the perspective of consumer economic well-being, this study defines accruing credit card debt to buy houses and cars when loans with lower interest rates are available as irresponsible credit card behavior.

This study uses probit regressions to examine the association between financial knowledge and responsible credit card behavior because the dependent variable is a dummy variable. To alleviate endogeneity problems, this study uses instrument variables and Heckman’s two-step estimation. Furthermore, to explore the potential mediators in this process, this study follows the stepwise regression method. Finally, this study introduces interaction terms to examine whether this association differs in different groups.

The results indicate that financial knowledge is conducive to increasing the probability of responsible credit card behavior. Mediating analyses reveal that the roles of financial knowledge occur by increasing the degree of concern for financial and economic information and the propensity to plan. Moderating analyses show that the effects of financial knowledge on responsible credit card behavior are stronger among risk-averse consumers and in regions with favorable digital access.

This study measures responsible credit card behavior from the perspective of the consumer’s well-being, which enriches practical implications for consumer finance. Furthermore, this study explores the potential mediators influencing the process of financial knowledge that affects responsible credit card behavior and identifies moderators to conduct heterogeneous analyses, which helps comprehensively understand the nexus between financial knowledge and credit card behavior. By achieving these contributions, this study helps to curb the adverse effects of irresponsible credit card behavior on consumers’ well-being and the economic system and helps policymakers promote financial knowledge to fully prevent irresponsible credit card behavior.