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This study aims to investigate the factors contributing to the low adoption rate of mobile money services (MMS) in the Middle East and North Africa (MENA) region compared to other regions. The study focussed on socio-demographic factors and macro-level determinants in several selected MENA and Sub-Saharan African (SSA) regions where MMS have been successful.

This study analysed 23 countries across MENA and SSA to establish the correlation between socio and macroeconomic factors and MMS adoption using a quantitative approach. The analysis used the generalized least square (GLS) method.

The study revealed that gender and income are factors that positively influence the adoption of MMS in MENA and SSA regions. Additionally, the study found that the affordability index, which measures macroeconomic indicators, correlates with MMS adoption in both regions but in an inversed way. On the other hand, political stability appears to have a positive correlation with MMS adoption in the MENA region. The correlation between the regulatory index and MMS adoption positively impacts the entire study group, although it is insignificant in the SSA region.

Future studies should assess market competition among MMS providers and the psychological aspect of user adoption behaviour. Additionally, conducting a focus group discussion with stakeholders in the MMS industry can assist in uncovering potential factors contributing to low MMS adoption in the MENA region.

This study contributes to understanding the role of the socio-demographic and macroeconomic determinants in promoting digital transformation through adopting MMS.

The existing hospitality and tourism literature indicates a discrepancy in the findings related to the socio-demographic variables' impact on hotel employees' socio-emotional factors and behavioral outcomes. This study aims to provide a comprehensive understanding of this topic.

Using a questionnaire, primary data were gathered from hotel employees in the Union Territory of Jammu and Kashmir, India from February to June 2022. A total of 416 valid responses collected through offline mode were used in the data analysis. Multiple linear regressions were done using SPSS V.29.

The findings show that the socio-demographic characteristics of respondents significantly affect socio-emotional factors at work as well as interpersonal deviance and organizational deviance.

Policymakers and hotel managers can implement training and development programs that assist hotel employees with diversified socio-demographic attributes in handling stress, developing their emotional intelligence and minimizing workplace deviance. The study also provides hotel managers with actional recommendations to reduce work–family conflict, social disparity among employees and their emotional exhaustion.

The study adds to the literature with a comprehensive framework regarding the role of various socio-demographic traits in fostering interpersonal deviance, organizational deviance and socio-emotional factors at work.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0304

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.

This paper aims to present a summary of the green consumer behaviour (GCB) research conducted during the 2001–2021 period using the bibliometric analysis and to carry out a thematic and content analysis on the three clusters which comprise 57 articles resulting from the co-citation analysis and identify the significant green purchasing factors.

The three-pronged methodology applied to this research analysis includes performance analysis of the literature using biblioshiny and R Studio; network mapping analysis using VOSviewer and Gephi; thematic analysis using word clouds generated with R Software and content analysis of each paper with the aid of within and between-study analyses.

Cluster one acted as a base for the theoretical foundations of GCB which aids in understanding the basic concepts of green marketing, its evolution and the methodologies, whereas cluster two determined the predictors of everyday green behaviour, which helps in gaining knowledge about the everyday sustainable activities the consumers indulge and the factors motivating to do so. Cluster three mainly focused on the psycho-socio demographic determinants of GCB, which assists in segmentation and predicting the purchase behaviour of the various consumer segments.

The significant variables and major gaps in each of the clusters were identified and authors have drawn the implications for future researchers and marketing managers.

The purpose of this present study is to analyze the role of consumers' social-psychological attributes, fiscal incentives and socio-demographics in the adoption intention and the willingness to pay more for electric vehicles (EVs).

A cognitive linkage model of “beliefs-intention-willingness” is analyzed using valid responses obtained from Indian consumers. The model is statistically tested at three levels: direct path effect of social-psychological attributes with financial incentives (subjective norm, personal norm, affective attitude, perceived knowledge) on adoption intention and willingness to pay, followed by the mediation of intention and the moderation of socio-demographics.

The findings reveal that the adoption intention and the willingness to pay are directly driven by all analyzed factors except financial incentives, which is not significantly associated with willingness to pay. Moreover, the adoption intention partially mediated the relation between all socio-psychological measures and willingness to pay, whereas full mediation of incentives is supported. Furthermore, the moderating effect of socio-demographics (gender, education, income) supports the integrated research model.

The generalizability of findings may be warranted due to the limited sample territory and the sample's youth. However, young people, or millennials, are more receptive to new technologies such as electric or carbon-free automobiles. The research advocates marketers and manufacturers to craft policy interventions and strategies to upsurge the EV demands in the backdrop of emerging markets.

This timely study adds to the extant literature on green and clean technology automobile adoption by exemplifying the relationship between socio-psychological beliefs, intention and willingness to pay at three dimensions of contextual factors. The current study endeavors to endorse the “beliefs-intention-willingness” cognitive linkage framework in the context of Indian green transportation.

The purpose of this paper is to investigate the integrated role of psychological, economic and environmental determinants of entrepreneurial intention among tribal community.

This study applied the utility maximisation approach to model the determinants of entrepreneurial intention (EI) among tribal youth. Using a non-linear qualitative response model, the study examined the effects of psychological, economic and environmental determinants tribal youth entrepreneurship intention. A total of 363 tribal youths were sampled across the eastern central region of India.

The result from the use of a logit model revealed strong evidence in favour of economic and contextual factors in comparison to psychological factors as determinants of EI among tribal youth. Further, the external environmental factors along with socio-economic background of tribal community were found to be dominant in influencing their decision to be an entrepreneur.

This study provides empirical evidence for the integrated and relative role of psychological, economic and environmental factors in shaping the entrepreneurial career decision of tribal community. Hence, one of the key contributions of this research was the development of an eclectic theory of tribal entrepreneurship.

This study discovering the determinants of entrepreneurial decision of tribal community using some recent advances in non-psychological approaches to study entrepreneurship. The domain of tribal/indigenous entrepreneurship is still in a nascent stage and in this context, it enriches the literature by closing few glaring gaps.

“Poor, Stressed, Drink (alcohol), and Gambling” is one of the campaigns for poverty eradication in Thailand. This study focuses on informal workers—gamblers—who belong to low-income groups and are not covered by the law as an employer. The main objective was to investigate the factors affecting financial stress among informal laborers and determine the factors that drive informal workers to buy lottery tickets (classified by economic, psychological and social motives).

The authors applied binary logistic regression to determine what factors affected financial stress and multinomial logistic regression was applied to examine the factors affecting the motives for buying the lottery.

According to the study's results, factors including education, income, gambling intensity, level of financial literacy, saving and knowledge about finance in general influenced both economic and psychological motives negatively. However, gender, status, age, level of risk tolerance, self-evaluated level of acceptable risk and knowledge about compound interest influenced both economic motives and psychological motives positively. It is worth noting that both the self-evaluation of their level of financial literacy and knowledge about inflation resulted in effects moving in different directions, with self-evaluation of their level of financial literacy and knowledge about inflation negatively affecting economic motives, but positively affecting psychological motives.

The results of this study are expected to help policymakers understand more about this issue since it will illustrate the relationships between financial stress and financial literacy, financial behaviors, financial attitudes and risk tolerance and gambling behaviors. After all, financial stress is a significant problem affecting individuals, their families and the community, and it stems from various complex factors. Therefore, the government and counseling agencies should apply active strategies to mitigate these issues and lessen the resulting financial stress by providing financial literacy projects, as well as financial counseling.

Low financial literacy, especially being inefficient at managing one's finances, unusually comes with unhealthy financial thought patterns, as well as a lack of systematic financial management. Furthermore, the lack of financial literacy can potentially lead to unfavorable circumstances. When one falls into uncontrollable situations, including divorce, becoming unemployed, having health problems, being in toxic relationships, loss of a breadwinner, an unexpected pregnancy, etcetera, they could easily find themselves failing to properly cope with these problems and become stressed. Finally, they are also more at risk to take illicit drugs or begin gambling more frequently.

One of the key elements that reduces financial stress is a person's finances, which is thought to have a significant role in reducing their betting behaviors. The findings of this study can be used to guide policy making intended to deter those who have never gambled from starting. Gambling is considered a risk-taking activity with a higher value reward in return. Money, enjoyment, socialization and excitement were all popular motives for gambling. These findings were consistent with what has been observed in Thai society related to the factors influencing individual to gamble, in other words, economic, psychological and social motives. The study focused on gamblers who were informal laborers. They are laborers without an employer according to the Thai labor law, do not have any social security from the government and, usually, have low incomes.

This aim of this study is to identify the ways of helping public authorities bring about change to environmentally sustainable household food practices.

The authors identified the practices involved in this concept from the consumer perspective and measured their diffusion among French households. The analyses were conducted following two successive data collection campaigns comprising 571 and 501 respondents in France. The methodology involved two complementary scaling techniques: factor analysis and item response theory.

The results show that consumers understand sustainable food through five food practices: buying and cooking products with sustainable attributes, anti-waste storage, self-production, plant protein consumption and anti-waste cooking.

The findings suggest that while at the individual level people appear to have incorporated anti-waste practices into their daily lives, at the household level, there is still work to be done for improving diets and stimulating the production of home-grown food. It is also worth noting that the emerging vision typically involves sustainable foods that are organic, locally grown, seasonal, based on fair trade and packaging-free.

The vast amounts of waste generated today threaten economies and societies due to high environmental and management costs. The aim is to investigate the short- and long-term patterns of municipal waste generation (MWG) in response to socio-economic and demographic growth variables at national and regional levels.

A panel data approach employing ordinary least squares (OLS), fixed effects (FE), random effects (RE), fully modified least squares (FMOLS) and error correction model (ECM) techniques. A sample of 28 European countries (2000–2020) and 44 European Union (EU) regions (2000–2018) were selected.

During periods of economic growth and higher employment rates, consumer confidence tends to increase, leading to elevated levels of consumer spending and consumption. Intensification in the production factors, specifically capital and employment, results in an upsurge in MWG, thereby creating a cycle where waste generation becomes deeply entrenched in the economic system in both the short and long terms. Rapid population growth, attributed to higher fertility rates, is associated with increased MWG. At the regional level, a double-aging process and a shift toward an aging population exert less pressure on MWG in both the short and long term. Promoting higher levels of environment-oriented human development yields various benefits, including the generation of greater knowledge spillovers, enhanced environmental literacy, a shift toward circular thinking and the promotion of greener entrepreneurship. Increased R&D expenditures facilitate the development of innovative waste reduction technologies, fostering improvements in waste management techniques, recycling processes and the utilization of sustainable materials.

The research examines the short- and long-term adjustments of MWG in response to changes in macroeconomic variables from low aggregation (countries) to high aggregation (regions). By analyzing the relationship between economic growth, urbanization, healthcare system quality, labor market functioning, demographic trends, educational level, technological advancement and MWG, the study fills a research gap and enhances understanding of waste management interventions. However, data availability and waste statistics accuracy should be considered. Future research could explore the relationship between macroeconomic variables and waste generation in sectors beyond MWG, such as industrial or construction waste, for a more comprehensive understanding of waste generation as a whole.

The positive correlation between economic activity levels and waste generation in both the short and long terms, emphasizes the criticality of investing in waste reduction and recycling infrastructure to mitigate landfill waste. The negative correlation between population density and waste generation stresses the importance of strategic waste facility placement in low-density areas. To effectively manage higher MWG, tailored waste collection systems and initiatives promoting healthy lifestyles are of immense importance. The positive relationship between employment rates and waste generation underscores the necessity of waste reduction programs that generate employment opportunities. The positive correlation between fertility rates and waste generation emphasizes the need for the expansion of extended producer responsibility programs to include products and materials specifically associated with families and child-rearing. Education campaigns and governmental support for research and development (R&D) in waste reduction technologies are also integral components of an effective waste management strategy.

The short- and long-term adjustments of MWG reacts to shifts in macroeconomic variables from low aggregation (countries) to high aggregation (regions). Previous research has neglected the long-term information contained in variables by not incorporating the lagged error correction term (ETM). Neglecting this aspect could result in imprecise estimates of the elasticities.