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This paper aims to investigate the influence of air and rail transportation on pollution in Turkey from 1970 to 2020.

Fourier Autoregressive Distributive Lags (ADL) and Fourier Fractional ADL cointegration tests (Banerjee et al., 2017; Ilkay et al., 2021) are employed to analyze the relationship be-tween the variables. Cointegration tests that take into account soft transitions under structural changes are implemented. Structural change issues are crucial for this topic since the changes in countries’ environmental policies and transportation habits are shaped by the decisions taken in relation to environmental regulations. Finally, for robustness purposes, we tested the estimated equation with a completely different methodology. Thus, a Machine Learning (ML) analysis is conducted, through a Ridge Regression (RR).

The findings obtained by applying Fourier Autoregressive Distributive Lags (FADL) and Fourier Fractional ADL cointegration tests, which can control for structural changes, reveal the existence of a long-term relationship between the variables. In addition, FMOLS estimates emphasize that economic growth and air transport can lead to increased pollution in the long run, while rail transport reduces it. Moreover, the statistically significant trigonometric terms indicate the existence of a smooth structural change among the variables. Robustness checks are performed through a Machine Learning (ML) analysis, which roughly confirms the previous results.

To our knowledge, existing research in Turkey focuses mainly on road transport, while the impact of rail and air transport on pollution has not yet been investigated. As such, this study will be a significant addition to the academic literature.

The purpose of this study is to investigate brand loyalty in halal fashion brands through three loyalty routes, namely, quality-satisfaction-loyalty model, information sources and religiosity-loyalty model.

Data were gathered from 447 customers of halal fashion brands through a survey. The structural equation model partial least square was used to validate the hypotheses empirically.

From the perspective of customers in halal fashion, brand loyalty is primarily determined by brand satisfaction, which is influenced by the perceived quality, firm-generated content (FGC) and user-generated content (UGC). While religiosity contributes significantly to brand loyalty, it has no direct impact on brand satisfaction. Perceived quality and information obtained through both FGC and UGC channels have a significant effect on brand satisfaction. Finally, perceived quality, FGC, UGC, religiosity and brand satisfaction play important roles in promoting brand loyalty among halal fashion customers.

This study will assist halal fashion companies in evaluating perceived quality, information sources (FGC and UGC) and religiosity to increase brand satisfaction and brand loyalty. This study expands to the existing knowledge about brand marketing literature on halal fashion brands.

This study is a preliminary empirical study that explains the three routes of brand loyalty through the quality-satisfaction-loyalty model, information sources and religiosity-loyalty model in the context of halal fashion brands. This study also provides insights for marketers and business managers to enhance brand loyalty in halal fashion brands.

This study aims to investigate the relationship between stock markets, environmental, social and governance (ESG) factors and Shariah-compliant in an integrated framework.

The authors employ the multivariate factor stochastic volatility (mvFSV) framework to extract the volatility of the different sectoral indices. Based on this evidence, the authors employ the quantile vector autoregressive (QVAR) approach to examine the dynamic spillover connectedness among the aforementioned indices.

The study emphasizes the following major findings: (1) significant time-varying spillover connectedness across quantiles, (2) bidirectional and asymmetric spillover effect among the ESG index and the other sectoral indices, (3) the strength of spillover connectedness is time-varying across quantiles, (4) based on the perspective of portfolio optimization, ESG market is a significant strong forecasting contributor to conventional and Shariah-compliant markets, (5) overall, the findings point out serious quantile pass-through effect among ESG index and the other sectoral indices during the COVID-19 health crisis.

This study extends the previous literature in the following ways. First, to the best of the researchers’ knowledge, none of the existing studies have investigated the relationship between stock markets, ESG factors and Shariah-compliant in an integrated framework. Second, this study extends the previous scholarships by applying the mvFSV. Third, the authors propose a new rolling version to estimate dynamic spillovers, namely the rolling-window quantile VAR method. This approach provides a great advantage in computing the dynamics of return and variance spillover between variables in terms not only of the overall factor but also of the net (pairwise) aspect.

The aim of this study is to critically examine the transparency and reporting practice of Environmental, Social, and Governance (ESG) controversies within the pharmaceutical and textile industry. Based on the four core dimensions of transparency, we explore which reporting medium is most frequently chosen for the disclosure of negative ESG contributions, the nature and information content of the disclosed incidents and how voluntary adherence to sustainability reporting standards and independent assurances affect the reporting.

We use conceptual content analysis and employ a counter-accounting approach to analyse the disclosure of 190 ESG controversies in 104 corporate reports from the pharmaceutical and textile industries, covering a three-year period from 2018–2020.

The very large majority of controversies are reported only once in the legal proceedings section of the annual report, but not again in the sustainability report, where it would be necessary to provide a balanced picture. Moreover, companies tend to disclose only those controversies that are either associated with high media attention or are expected to be related to litigation, resulting in 26 per cent of controversies not being disclosed at all. The overall quality of disclosure is unsatisfactory and in need of improvement, but comparably higher in the pharmaceutical industry than in the textile industry. Interestingly, neither the application of sustainability reporting standards nor independent assurance seems to positively impact the disclosure behaviour.

Our paper provides new insights into the shortcomings of current ESG controversy disclosures by revealing patterns of selective reporting practices and the strategic framing of issues. In addition, it contributes to the debates on corporate cherry-picking in the adoption of sustainability reporting guidelines and on the effectiveness of external assurance of sustainability reports. Based on the findings, it offers important implications for practitioners, in particular management, policy makers, rating agencies and assurance providers.

The interconnected challenges of climate change and social inclusivity have placed unprecedented pressure on businesses to adopt responsible practices. While previous research has explored the individual impacts of environmental, social, and governance (ESG) performance and diversity initiatives, there remains a dearth of comprehensive investigations into how these factors collectively influence carbon emission scores. Drawing on the legitimacy theory, we explore whether ESG and diversity scores predict global companies' carbon emission scores. As concerns about the environmental impact of businesses grow, understanding the relationships between ESG performance, diversity management, and carbon emissions becomes imperative for sustainable corporate practices.

The primary dataset for this study includes 1,268 worldwide firm-year data for 2021. The sample is subjected to missing data examination as a component of the filtration process. Data preprocessing is performed before machine learning analysis, including verifying missing data. Our research resulted in the final sample, which includes 627 worldwide firm data from 2021. Data regarding all publicly traded companies was obtained from Refinitiv Eikon.

Our findings showed that corporate carbon emission performance in global corporations is influenced by ESG performance and total diversity score.

Firms involve in ESG as well as diversity practices to be able to achieve sustainable success. Yet, the forecasting of carbon emissions based on ESG scores and diversity scores remains inadequately established due to conflicting findings and enigmas prevalent in the literature.

Usage of updated technology is continuously empowering customer relationship management (CRM) to be convenient and user friendly, where customers are kept engaged with knowledge and information. This enables them on decision-making and managing their portfolio, especially in mutual fund investments. To improve toward a positive decision, certain quality related variables needed to be considered. Thus, this study aims to estimate the mediation effect of relationship quality and outcome (RQO) between CRM and investment decision-making in mutual funds (MFD).

The descriptive study adopted the constructs from existing empirical literatures to conceptualize the model with three higher order constructs with 12 dimensions. Survey method is used, and with a structured questionnaire, a total of 323 mutual fund investors were approached using nonprobability criterion sampling technique, of which 262 relevant responses were considered for estimating the structural model. Smart PLS was used to establish the relationship of the constructs.

The result emphasizes a significant direct and indirect relationship indicating that investors are more inclined to MFD through technology-enabled CRM and RQO plays a vital role in explaining the direct relationship between CRM and MFD. The results of the study are in-line with the existing literature.

The study highlights that financial institutions must focus not only on technological diffusion but also needs to ensure quality service by providing knowledge and information during every access of transactions by customers, making them independent and confident during investments.

This study indicates how capacity efficiency, which is a part of service productivity, can be managed without affecting the outcome efficiency by incorporating technology in the place of human interaction during relationship acquiring and retaining process.

The purpose of this study is to investigate the impact of psychological ownership (PO) on residents’ destination advocacy (DA) behaviour in the context of emerging tourist destinations and to assess the role of attitude as a mediator in the relationship.

A quantitative methodology was used and primary data was collected via an online survey to a sample of 333 residents from emerging tourist destinations in India. This study used the partial least squares (PLS) method to test the hypotheses.

The results indicate that residents’ knowledge about their hometown positively influences PO which in turn affects DA behaviour. Furthermore, PO influences attitude which in turn significantly influences DA behaviour. Additionally, the findings reveal the mediating role of attitude between PO and residents’ advocacy behavioural outcomes.

This study advances the concept that residents are important stakeholders who can promote a destination. Local authorities should prioritise residents over tourists and incorporate their image, identity, personality, style and values into destination promotion. They can also improve destination services to boost residents' positive attitudes.

The uniqueness of the study lies in associating PO and outcome as DA behaviour. The model suggests that enhancing PO of their hometown among the residents can have significant advantages for tourism development.

This paper explores the critical role of employee development programs (EDPs) in preventing workplace suicides, as underscored by 2019 statistics from the US Department of Labor Bureau of Labor Statistics. It identifies various industries with elevated suicide rates. It considers both work-related stressors, like fear of failure and autonomy loss, and external factors, like family or financial issues, as contributing factors. The paper advocates for EDPs to enhance employee-organization relationships, promoting engagement and positive change. Through skills training, coaching and job enrichment, EDPs intend to address employee concerns, offering support and contributing to suicide prevention.

This paper examines the role of EDPs in preventing employee suicides, a concern highlighted by the US Department of Labor Bureau of Labor Statistics data on rising suicide rates. It uses the interpersonal theory of suicide to underline the urgency of addressing this global issue empirically. The paper proposes that EDPs, through skills training, coaching and job enrichment, can tackle underlying job satisfaction issues, fostering positive organizational change and enhancing employee well-being. It advocates for EDPs as a means to not only improve workplace dynamics but also potentially save lives.

This study finds that EDPs are vital in preventing suicides in organizational settings. EDPs address factors affecting job satisfaction and mental well-being, potentially leading to suicidal behavior. These programs enhance employee engagement and motivation by incorporating skill training, coaching and job enrichment. The study emphasizes the need for EDPs to promote positive organizational change and to improve employee well-being, thereby contributing to suicide prevention and fostering healthier employer-employee relationships, leading to broader social and mental health benefits.

This paper’s novelty stems from its exploration of EDPs as a strategy for preventing employee suicide. It offers a unique perspective by linking EDPs to suicide prevention, focusing on enhancing job satisfaction and mental well-being. Using the interpersonal theory of suicide, the paper not only underscores the global importance of suicide but also identifies high-risk occupations. It argues for EDPs as a proactive measure in organizations, presenting a new approach to employee suicide prevention with broad implications for organizational practices and employee welfare worldwide.

Fear of Missing Out (FOMO) is characterized by anxiety over potentially missed experiences, while Joy of Missing Out (JOMO) embraces contentment in opting out of social engagements. Drawing on cognitive appraisal theory, this study aims to investigate how FOMO and JOMO appeals influence pride, gratitude and purchase intention while considering the impacts of age and social comparison orientation.

Three experiments examined the impact of FOMO (Study 1), JOMO (Study 2), and comparison between FOMO and JOMO (Study 3) on pride, gratitude and purchase intention. Moderated-moderated mediation models were also tested to assess the roles of age and social comparison orientation (SCO).

FOMO appeals tend to boost feelings of pride, while JOMO appeals promote gratitude, both of which result in a higher likelihood of making a purchase. The effect of FOMO appeal on purchase intention via pride is stronger among younger consumers with high SCO. In contrast, the impact of JOMO appeal on purchase intention via gratitude is higher among older consumers with low SCO.

Understanding the nuances of different advertising appeals and their effect on consumer emotions (e.g. pride and gratitude) and purchase intention can inform marketers and advertising agencies in crafting more targeted and effective advertising campaigns that resonate with diverse consumer segments.

This study adds to the consumer emotion literature and generational research by emphasizing the role of emotions and age in shaping consumer responses to advertisements.

 Social assistance programs have been implemented in Madagascar to assist the most vulnerable and neediest poor in achieving a minimum standard of living during critical times. In the Grand South and Southeast Madagascar, where climate change, price fluctuations and sociopolitical instability threaten the population’s livelihood, the effectiveness of such aid-based programs is uncertain because of possible mistargeting. This study aims to assess the accuracy of the targeting methodology of four different types of social protection programs in Southern Madagascar.

The authors draw evidence from a national representative data set and use multiple techniques that integrate targeting performance and regression-based analyses.

Results show that cash transfers constitute the only program that effectively reaches the poorest 20% living in drought- and cyclone-affected regions. However, mistargeting is likely to occur in food, seed transfers, and the HIMO public works programs. Social inclusion information related to proximity to urban zones, religious affiliation, and number of long-lasting insecticide-treated nets are significantly associated to all program participation. Nevertheless, a serious under-coverage of the eligible poor is noted for Southern Madagascar.

This study is among the first to evaluate the targeting effectiveness of social programs in Madagascar. It introduces a novel approach to evaluating the poverty rate by utilizing a composite-based wealth score. The authors enhance the classic targeting assessment methodology by incorporating geospatial covariates, categorical, geographical and social network information into an econometric model. The study provides a comprehensive view of the main profile of beneficiaries reached by four social assistance programs in Southern Madagascar.