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How do dark personality traits impact workplace bullying (WB)? How can organizations mitigate it? This study aims to explore the relationship between the Dark Tetrad (DT) (narcissism, psychopathy [PY], Machiavellianism and sadism [SM]) and WB, proposing the mediation role of moral disengagement (MD) and the moderation role of emotional stability (ES).

The proposed mediated-moderation model was tested on 404 employees working in the hospitality sector in Pakistan. Data have been analyzed through regression analysis and PROCESS macros to test the study’s hypotheses.

PY, Machiavellianism and SM positively relate to WB and MD mediates this relationship. A high level of ES reduces the intensity of the mediated influence of PY, Machiavellianism and SM on WB.

Developing targeted policies and practices (e.g. personality tests to build a good psychological architecture of the firm) and reviewing processes that support the moral justification of antisocial conduct can be beneficial for limiting WB. In addition, meditation, mindfulness training and supporting trust and cooperation within organizations can increase the mitigating effect of ES and, in turn, reduce WB.

To the best of the authors’ knowledge, this is the first study that explicitly verifies a mediated-moderation model on DT-WB while proposing a further explanation (i.e. mediation of MD) and a novel solution (i.e., moderation by ES).

The purpose of this study is to present an analysis of the Islamic good governance concept and means known as Al-Siyasah Al-Syar’iyyah as a principle and approach for combating corruption. This literature review aims to synthesize extant literature that discusses the determinants of integrity and how to prevent and combat corruption based on the Al-Siyasah Al-Syar’iyyah perspective.

A systematic search was conducted on a literature review based on Scopus and referred journals from Google Scholar databases. A manual search on Google Scholar was performed to identify additional relevant studies. Studies were selected based on the predetermined criteria. They were thematically examined using content analysis.

The study found that most of the 45 works of the literature, (41 studies and four chapters) suggested that corruption should be considered a sin and that education of Al-Siyasah Al-Syar’iyyah’s perspective against corruption, emphasizing the principle of piety, the institutionalization of justice and accountability, good governance performance with an emphasis on its belief in self-accountability and justice, is the means to combat corruption.

This study is unique in that it focuses on locating material on battling corruption from the standpoint of Al-Siyasah Al-Syar’iyyah. Based on the al-Quran, the Sunnah and the best practices of Muslim rulership, this notion provides an epistemological, ethical and ontological stance in Islam.

This study argues that in order to address the problems associated with the modern market economy at their core, such as persistent poverty, growing inequality and environmental degradation, it is imperative to re-assess the well-being and moral philosophy underpinning economic thinking. The author attempts to offer a preliminary way forward with reference to the Islamic intellectual tradition.

This study employs content analysis of classical and contemporary Islamic texts on human well-being and economic ethics to derive a conceptual well-being model. The paper is structured in four sections: section one provides an overview of relevant secondary literature on moral economic approaches; section two outlines the main well-being frameworks; section three discusses the concept of human well-being in Islam informed by the Islamic worldview of tawḥīd, the Islamic philosophy of saʿādah, and the higher objectives of Islamic Law (maqās_.id al-Sharīʿah); and finally, section four discusses policy implications and next steps forward.

A conceptual model of human well-being from an Islamic perspective is developed by integrating philosophical insights of happiness (saʿādah) with an objective list of five essential goods: religion (Dīn), self (Nafs), intellect ('Aql), progeny (Nasl) and wealth (Māl) that correspond to spiritual, physical and psychological, intellectual, familial and social, and material well-being, respectively.

Further research is needed to translate this conceptual model into a composite well-being index to inform policy and practice.

This model can be used to review the performance of the Islamic finance sector, not solely in terms of growth and profitability, but in terms of realising human necessities, needs and refinements. It can also provide the basis for the Organisation of Islamic Co-operation (OIC) countries to jointly develop a well-being index to guide national and regional co-operation. More generally, this study highlights the need for research in Islamic economics to be more firmly rooted within Islamic ontology and epistemology, while simultaneously engaging in productive dialogue with other moral schools of economic thought to offer practical solutions to contemporary challenges.

This study offers three aspects of originality. First, by outlining well-being frameworks, it highlights key differences between the utilitarian understanding of well-being underpinning modern economic theory and virtue-based understandings, such as the Aristotelian, Christian and Islamic approaches. Second, it provides a well-being model from an Islamic perspective by integrating the Islamic worldview of tawḥīd, the Islamic philosophy of saʿādah, and the higher objectives of Islamic Law (maqāṣid al-Sharīʿah). Third, it proposes an ethical framework for informing economic policy and practice.

This study aims to argue that responses in economic growth (EG) resulting from positive and negative shocks in energy consumption could be a non-linear phenomenon. Thus, the study aims to investigate the existence of non-linear long-run effects of positive and negative shocks in green and conventional energy consumption on EG for China and India. By decomposing energy consumption in positive and negative shocks, the study seeks to determine the distinct impact of positive and negative shocks in energy (conventional and green) consumption on EG of China and India.

A non-linear autoregressive distributed lag (NARDL) model based on energy-augmented environment Kuznets curve (EKC) framework is used on annual time series covering the period 1965–2021. The study uses a precise econometric methodology, starting with unit root tests to assess stationarity, moving to the estimation of the NARDL model, which resulted in the calculation of long-run coefficients and error correction terms to analyse the rate of adjustment towards equilibrium.

The empirical findings demonstrate that there exists a non-linear cointegrating relationship among EG, carbon emissions and green and conventional energy consumption for both economies. In the long run, a non-linear impact of green energy consumption (GEC) on EG is evident for China only, whereas non-linear impact of conventional energy consumption (CEC) on EG is visible for both countries.

While China and India prioritise energy diversification by embracing green energy to promote energy security and limit rising carbon emissions, it is interesting to investigate how positive and negative shocks in GEC and CEC have affected their EG. Second, this paper examines the trade-offs between EG and GEC/CEC in China and India, two high-carbon emitters. The disparities in trade-offs may indicate how well each country’s energy policies address increased EG with fewer energy-induced carbon emissions.

This study examines non-linear cointegration among the variables of interest, whereas most prior studies have focused on linear cointegration. The existence of non-linear cointegration may suggest that positive and negative shocks in GEC and CEC can result in non-linear reactions in EG. Thus, it establishes a basis for examining the non-linear long-term effects of GEC and CEC on EG. The research findings indicate significant consequences and necessitate prompt intervention to alleviate the detrimental impacts of shocks in GEC and CEC on EG in China and India and provide several important inputs to address the inherent challenges of energy transition goals.

In spite of the drive toward environmental sustainability and the attainment of sustainable development goals (SDGs), coal, oil and natural gas energy utilization has remained the Turkey's largest energy mix. In view of this concern, this study examined the role of coal and oil energy utilization in environmental sustainability drive of Turkey from the framework of sustainable development vis-à-vis income expansion over an extended period of 1965–2017.

In this regard, the authors employ carbon emission as an environmental and dependent variable while the Gross Domestic Product per capita (GDPC), coal and oil energy consumption are the explanatory variables employed in the study.

The study found that both energy mixes (coal and oil) have a detrimental impact on the environment in both the short and long run, but oil consumption exerts a less severe impact as compared to coal energy. In addition, sustainable development via income growth is not feasible because the income–environmental degradation relationship follows a U-shaped pattern (invalidating the Environmental Kuznets curve, EKC hypothesis) especially when coal and oil remained the major source of lubrication to the economy. At least the EKC hypothesis is unattainable in Turkey as long as the country's major energy mix or primary energy (coal and oil) is in use, thus the application of other socioeconomic, macroeconomic policies might be essential.

Considering the lingering energy challenge associated with Turkey, this novel insight further presented useful policy perspectives to the government and stakeholders in the country's energy sector.

This evidence (the U-shaped relationship) is further ascertained when the aggregate primary energy is employed. Thus, this study provides a novel insight that attaining a sustainable economic growth in Turkey remained a herculean task as long as a more aggressive energy transition approach is not encouraged.

The Metaverse is rapidly reshaping the understanding of tourism, yet the public perception of this new domain remains largely uncharted empirically. This paper aims to build on the technology acceptance model (TAM) and diffusion of innovations theory (DIT) to fill this gap, offering crucial insights that could inform scholars and practitioners in both the tourism and technology sectors.

Using a big-data approach, the authors applied machine learning to scrape comments made by social media users on recent popular posts or videos related to tourism in the Metaverse from three prominent social media platforms. The cleaning process narrowed down 15,461 comments to 2,650, which were then analysed using thematic, emotion and sentiment analysis techniques.

The thematic analysis revealed that virtual tourism evokes a complex range of public beliefs. While many express awe and excitement toward its immersive capabilities, others remain sceptical about authenticity compared to physical travel. Additional themes show people draw comparisons to real-world tourism, discuss technology’s role and note educational value and novelty. However, some comments raise concerns about potential societal harms, exploitation and mental health impacts. Sentiment analysis found over half of the comments positive, though some were negative. Emotion analysis showed contentment, happiness and excitement as most frequent, though sadness, worry and loneliness also featured. Overall, perceptions of Metaverse tourism encompass enthusiasm yet substantial ambivalence.

To the best of the authors’ knowledge, this study is one of the first to comprehensively analyse public discussions on Metaverse tourism. It takes TAM and Rogers’s DIT a step further and provides fresh insights into how these theories can be employed in the emerging field of Metaverse tourism. The themes revealed new conceptual insights into multidimensional factors shaping public beliefs about Metaverse tourism and thus informing scholarly research on virtual interaction and technology acceptance regarding Metaverse tourism. In addition, the results can help tourism providers, platforms and marketers address salient public beliefs and sentiments/attitudes in developing marketing offerings, experiences and communications. Over time, this analysis methodology can be used to track the evolving public perceptions of Metaverse tourism.