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Owing to highly volatile and chaotic external events, predicting future movements of cryptocurrencies is a challenging task. This paper advances a granular hybrid predictive modeling framework for predicting the future figures of Bitcoin (BTC), Litecoin (LTC), Ethereum (ETH), Stellar (XLM) and Tether (USDT) during normal and pandemic regimes.

Initially, the major temporal characteristics of the price series are examined. In the second stage, ensemble empirical mode decomposition (EEMD) and maximal overlap discrete wavelet transformation (MODWT) are used to decompose the original time series into two distinct sets of granular subseries. In the third stage, long- and short-term memory network (LSTM) and extreme gradient boosting (XGB) are applied to the decomposed subseries to estimate the initial forecasts. Lastly, sequential quadratic programming (SQP) is used to fetch the forecast by combining the initial forecasts.

Rigorous performance assessment and the outcome of the Diebold-Mariano’s pairwise statistical test demonstrate the efficacy of the suggested predictive framework. The framework yields commendable predictive performance during the COVID-19 pandemic timeline explicitly as well. Future trends of BTC and ETH are found to be relatively easier to predict, while USDT is relatively difficult to predict.

The robustness of the proposed framework can be leveraged for practical trading and managing investment in crypto market. Empirical properties of the temporal dynamics of chosen cryptocurrencies provide deeper insights.

Food choices profoundly affect one's dietary, nutritional and health outcomes. Using alcoholic beverages as a case study, the authors assess the potential of genetic data in predicting consumers' food choices combined with conventional socio-demographic data.

A discrete choice experiment was conducted to elicit the underlying preferences of 484 participants from seven provinces in China. By linking three types of data (—data from the choice experiment, socio-demographic information and individual genotyping data) of the participants, the authors employed four machine learning-based classification (MLC) models to assess the performance of genetic information in predicting individuals' food choices.

The authors found that the XGBoost algorithm incorporating both genetic and socio-demographic data achieves the highest prediction accuracy (77.36%), significantly outperforming those using only socio-demographic data (permutation test p-value = 0.033). Polygenic scores of several behavioral traits (e.g. depression and height) and genetic variants associated with bitter taste perceptions (e.g. TAS2R5 rs2227264 and TAS2R38 rs713598) offer contributions comparable to that of standard socio-demographic factors (e.g. gender, age and income).

This study is among the first in the economic literature to empirically demonstrate genetic factors' important role in predicting consumer behavior. The findings contribute fresh insights to the realm of random utility theory and warrant further consumer behavior studies integrating genetic data to facilitate developments in precision nutrition and precision marketing.

The purpose of this study is to enhance the understanding of the marketing placebo effect (MPE) by proposing and empirically testing a model of antecedents and consequences of MPE for reduced-sugar labeled products in the food industry.

An online survey was conducted on a sample of 409 consumers to collect data on their health consciousness, sugar-induced anxiety, self-congruity, fresh start mindset and MPE of reduced front-of-pack sugar labeling in food products. Structural equation modeling (SEM) was used to analyze the data and test the hypotheses.

The results highlight the sugar-induced anxiety as the most pronounced determinant for the proposed placebo effect. Health consciousness was observed to indirectly influence the MPE via mediators (sugar-induced anxiety and self-congruity). Furthermore, the supporting role of the fresh start mindset moderates the relationships between health consciousness, sugar-induced anxiety, self-congruity and the MPE.

This study is one of the few to investigate the moderating effects of having a fresh start mindset on the MPE of reduced-sugar labeled products. Moreover, the study contributes to the growing body of research on the indirect effects of health consciousness on consumer behavior, highlighting the important role of emotional (anxiety) and self-congruity factors in shaping the MPE toward reduced-sugar labeled products.

By understanding the complex interplay between the variables of the antecedents and consequences of MPE for reduced-sugar labeled products, which engenders consumer attitude and belief about sugar intake, marketers and policymakers can develop more effective campaign strategies to promote such products and, consequently, a healthy diet and lifestyle.

This study is one of the few to investigate the moderating effects of the fresh start mindset on the MPE of reduced-sugar labeled products. Moreover, the study contributes to the growing body of research on the indirect effects of health consciousness on consumer behavior, highlighting the critical role emotional (i.e. anxiety) and cognitive (i.e. self-congruity) factors play in shaping the outcome of the MPE of reduced-sugar labeling in products.

This paper aims to formally conceptualize service mega-disruptions as any far-reaching and unforeseen general environmental stressor or threat that impacts a service organization’s ability to provide a desired level of service. The authors differentiate sudden large-scale general environmental threats from traditional service failures in scope and scale of impact via number of customers and sectors affected and duration and speed of the disruption.

This paper draws from service recovery theory to build a conceptual model of service mega-disruptions. The resulting conceptual model maps service failure recovery strategies against a service mega-disruption recovery approach to examine consumer response to changes in service value. This work further articulates additional research needs including conceptualization, measurement and methods as traditional drivers of service recovery and the value of the service experience change in response to service mega-disruptions.

This work proposes a research agenda to investigate whether service mega-disruptions can bypass the need for service recovery due to a consumer self-moderating process. As past research shows, the less control a service provider has over a failure, the more customers attribute fault to the situation and transfer blame away from an organization. This paper suggests that this self-moderating process disrupts the need for service providers to court forgiveness for a failure with perceptions of similarity and controllability providing an alternate pathway to customer forgiveness. Similarly, it is suggested that service mega-disruptions play a role in transforming service ecosystems into tighter, more contractual systems with less agency for service providers and poorer ability to adjust to market conditions. The duration and longevity of effects on service providers’ control, agency and ability to adjust following a service mega-disruption must be researched further.

This paper builds theory to develop a conceptual model of service mega-disruptions and their role in customer engagement and reshaping the service ecosystem. This paper culminates in the proposition of a research agenda that aims to build research capacity among services marketing scholars as service providers’ coordination and market conditions are challenged by service mega-disruptions.

Organizations experience various issues with the optimum use of data. This study is qualitative research to identify and provide a helpful pattern for increasing the performance of sustainable supply chain management (SSCM).

The statistical population in the qualitative section includes managers and experts in the supply chain (SC) and food production. The data were collected via semi-structured interviews, and data saturation happens after the tenth interview. Then, the data were coded using grounded theory and qualitative research analysis. 384 questionnaires were distributed among employees via random sampling. SmartPLS software is used to investigate and analyze the relationships in the mentioned model through 13 core categories.

The findings indicate that organizational productivity and SC deficiencies are among the effective factors in the SSCM primarily identified by this study. Moreover, the findings propose that industry SC, macro policies, organizational performance, social factors, economic factors, organizational factors, political factors, technological factors, production and customer are likely to positively impact the SSCM, which have previously been documented by studies.

The model and concepts extracted from the responses of research participants show well that there are reasons and motivations for increasing the performance of SSCM. Also, the designed model shows well that the motives and reasons for turning to this system are satisfied due to its implementation.

Global brands have become increasingly vulnerable to external disruptions that have negative spillover effects on consumers, business and brands. This research area has recently garnered interest post-pandemic yet remains fragmented. The purpose of this paper is to recognize the most impactful exogenous brand crisis (EBC) and its affective and behavioural impact on consumers.

In Study 1, we applied repertory grid technique (RGT), photo elicitation method and ANOVA comparisons, to identify the most significant EBC, in terms of repercussions on consumer purchases. In Study 2, we performed collage construction and content analysis to ascertain the impact of the identified significant crisis (from Study 1) on consumer behaviour in terms of affective and behavioural changes.

Study 1 results reveal Spread-of-diseases and Natural disaster to be the most impactful EBC based on consumer’s purchase decisions. Study 2 findings uncover three distinct themes, namely, deviant demand, emotional upheaval and community bonding that throws light on the affective and behavioural changes in consumer behaviour during the two significant EBC events.

The collated results of the two studies draw insights towards understanding the largely unexplored conceptualisation of EBC from a multi-level (micro-meso-macro) perspective. The integrated framework drawn, highlight the roles and influences of different players in exogenous brand crisis management and suggests future research agendas based on theoretical underpinnings.

To the best of our knowledge, this is the first study which identifies the most important EBC and explicates its profound impact on consumer purchase behaviour, providing critical insights to brand managers and practitioners to take an inclusive approach towards exogenous crises.

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.

Religious tendencies have increased in post-Arab Spring countries, raising the question of whether this geopolitical event has affected consumers' orientations towards foreign products, including those that have positive country-of-origin image. This paper investigates the effect of Islamic religiosity on the relationship between consumer ethnocentrism and buying intention towards products from a developed country (France) in an Arab Spring country (Tunisia).

A survey questionnaire was lunched and data was collected from 492 Tunisian consumers living in both rural and urban areas. Research hypotheses were tested using a Partial Least Square- Structural Equation Modelling (PLS-SEM) method.

Tunisian consumers do not associate their ethnocentric feelings towards French products with their Islamic religiosity. Results show that both highly and moderately religious Tunisians trust French products because of their high country-of-origin image and their potential social connotations.

The results of this paper contribute to the literature that focuses on understanding consumption behaviours in developing countries in the aftermath of geopolitical events such as the Arab Spring.

The purpose of the current exploratory study is to provide a more comprehensive understanding of the essence of impulse buying and postulate the drivers behind it for Azerbaijani consumers who practice Islam. Though there are numerous factors that impact impulsive buyer tendencies, current empirical research focuses on demographic indicators and persona characteristics that influence impulsive buying, which are considered as internal factors.

The current research is exploratory and uses the quantitative research method. A total of 442 responses were collected from the surveys between April 6th and May 6th, 2022, with random sampling. The collected data was analyzed with the SPSS Statistics software and the SPSS AMOS 26 version. Cronbach’s alpha was calculated to measure the reliability of the scales. The construct validity of the questionnaire was measured with confirmatory factor analysis (CFA). The correlation among variables was measured by calculating the Pearson correlation coefficient. The structural equation model was run to determine the structural relationship between latent variables and test the proposed hypotheses.

According to the regression weights, all the latent variables, excluding materialism, have a statistically significant impact on the impulsive buying tendency. Hedonic motivation and self-esteem have a positive relationship with hedonic buying tendency, while self-control is inversely related. In terms of the impact of demographic indicators on impulsive buying tendency, for Azerbaijani consumers, impulsive buying behavior, differs based on age, education and marital status. However, contrary to previous research, impulsive buying behavior does not change based on income level. However, based on the squared multiple correlations, the predictive power of the model is 24%.

The current study measured the general impulsive behavior of the local population. Analyzing impulsive buyer behavior toward particular products or product categories might lead to different results. Therefore, other researchers can focus on studying impulsive buyer behavior toward different product categories.

Understanding consumer buyer behavior, including impulsive buyer behavior, is among extensively researched subjects. However, studies examining the state of impulsive buyer behavior in Azerbaijan and, most importantly, measuring the impact of the numerous factors behind it are lacking. The majority of the available empirical research in Azerbaijan analyzes consumer behavior from a different perspective. However, none of them approaches it from the perspective of analyzing and measuring impulsive buying. Hence, understanding the motivations behind impulse buying behavior can benefit both businesses and consumers, though for contrasting reasons. The former can use the data to determine the triggers for impulse buying, while the latter can be more conscious of their purchasing behavior to avoid unfavorable financial consequences. The primary implication for businesses is that they will be equipped with empirical evidence on which factors and to what extent they influence consumer buying behavior. Subsequently, they can use it while developing marketing and customer relationship strategies.

There are countless studies focused on defining and measuring impulsive buyer behavior; however, there is a gap in measuring the impulsive buyer behavior of Muslim consumers and, most importantly, understanding the underlying factors. In addition, empiric research examining the state of impulsive buyer behavior of local Muslim consumers in Azerbaijan and, most importantly, measuring the impact of numerous factors behind it is absent. The majority of the available empirical research in Azerbaijan analyzes consumer behavior from a different perspective. However, none of them approaches it from the perspective of analyzing and measuring impulsive buying. The current study analyzes the impact of consumers’ hedonic motivations, materialist values, ability to retain self-control and psychological state on their impulse buying tendency.

This study aims to examine the performance of environmental, social and governance (ESG) equity indices in Latin America (LA), evaluating their risk-return characteristics in comparison to conventional benchmark indices.

Using a quantitative empirical approach, the authors analyze ESG equity indices from Brazil, Mexico, Chile, Peru and Colombia, employing metrics such as Sharpe, Sortino and Omega ratios to measure risk-adjusted returns. Regression analysis is employed to assess the replicability of ESG indices by benchmark indices. Monte Carlo simulations are conducted to explore the potential increase in risk-adjusted returns when ESG equity indices are incorporated into portfolios.

The study addresses critical questions for investors: Can ESG indices outperform their benchmarks? Can these ESG indices be replicated by benchmark counterparts? Do ESG equity indices enhance portfolio diversification? The findings reveal that investing in ESG indices has the potential to enhance risk-adjusted returns and portfolio diversification.

While this study focuses on various LA economies, it’s important to note variations in currency and volatility.

For investors in LA, this study highlights the importance of considering ESG indices as part of their investment strategies. While not all ESG indices outperform conventional ones, some may improve diversification and risk-adjusted performance. Investors should carefully assess market-specific conditions and national factors when making investment decisions.

The primary contribution of this study is its focus on LA countries in the examination of diverse portfolios. The research provides valuable insights into the performance of ESG indices in this region compared to conventional benchmark indices. This approach addresses an important gap in the existing literature and offers a more comprehensive perspective on ESG investing and portfolio diversification.

Se examina el rendimiento de los índices-ESG en América Latina (AL), evaluando sus características de riesgo y retorno en comparación con los índices convencionales.

Utilizando un enfoque cuantitativo, analizamos los índices-ESG de Brasil, México, Chile, Perú y Colombia, empleando ratios de Sharpe, Sortino y Omega para medir los rendimientos ajustados al riesgo. Se utiliza análisis de regresión para evaluar la replicabilidad de los índices-ESG por parte de los índices de referencia. Se realizan simulaciones de Monte-Carlo para explorar el aumento en los rendimientos ajustados al riesgo cuando se incorporan los índices-ESG en las carteras.

El estudio aborda preguntas críticas: ¿Pueden los índices-ESG superar a sus índices de referencia? ¿Pueden estos índices-ESG ser replicados por sus contrapartes de referencia? ¿Mejoran los índices-ESG la diversificación de las carteras? Los hallazgos revelan que la inversión en índices-ESG tiene el potential de mejorar los rendimientos y la diversificación de las carteras de inversión.

Aunque este estudio se centra en diversas economías de AL, es importante tener en cuenta variaciones en moneda y volatilidad.

La principal contribución de este estudio radica en su enfoque en países de AL en el examen de carteras diversas; ofrece valiosos conocimientos sobre el rendimiento de los índices-ESG en esta región en comparación con los índices convencionales.