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Leadership’s dark side has been on the rise, negatively affecting organizations. The phenomenon, however, is not as simple as it seems. Based on social exchange and conservation of resource theories, current research aims to explore the impact of psychological entitlement on despotic leadership, ultimately leading to instigated workplace incivility. Moreover, emotional exhaustion was tested as a mediator and Islamic work ethics as a moderator.

This study aims to examine the effect of dark side of leadership and for this, the survey approach was used to collect data from 402 bankers from Pakistan’s twin cities (Islamabad and Rawalpindi).

The results showed that psychological entitlement leads to despotism and despotic leaders become a reason for instigated workplace incivility. Results also showed that emotional exhaustion mediated, and Islamic work ethics moderated the relationship.

Bankers have a demanding job which is further exacerbated by despotic leaders feeling psychologically entitled and instigating employees toward uncivil behaviors as they experience emotional exhaustion. Despotic leaders need to be dealt with to reduce instigated incivility and Islamic work ethics can also aid in improving employee behavior.

Literature available on both antecedents and effects of the leadership’s dark side is limited, and this study strives to contribute by extending the literature available on psychological entitlement, despotic leadership and instigated workplace incivility relationships.

This study examines the effects of risk reduction, seller reputation, eWOM and warranties on consumer confidence and online impulse buying intentions through the lens of the stimulus-organism-response (SOR) model. It also explores the role of installment options in online impulse buying.

We performed a between-subjects experiment (installment vs. no-installment option). Data were collected from 199 consumers and analyzed using SmartPLS 3.3.9.

The results show that risk reduction, eWOM and warranty positively affect consumer confidence (CC) in online shopping and that CC positively predicts online impulse buying intentions. It was also found that the effect of CC on online impulse buying intentions was stronger when consumers were offered an installment option than a no-installment option.

Findings suggest that online sellers should invest more resources in building consumer confidence, which affects online impulse buying intentions. Moreover, online sellers should offer installment options to consumers, thereby reaping stronger effects of consumer confidence on online impulse buying intentions.

Employing the experimental approach, this study makes a novel attempt to examine the role of the installment option in fostering online impulse buying intentions among Pakistani consumers. Likewise, this is one of the early studies to explore the effects of risk reduction, seller reputation, eWOM and warranties on CC among Pakistani consumers using the SOR model.

This chapter investigates the potential of integrating multiple criteria decision-making (MCDM) techniques with decision support systems of digital supply chain management (DSCM) to achieve optimal outcomes. Digital supply chain (DSC) employs digital technologies (DTs) such as artificial intelligence (AI), Internet of Things (IoT), and big data analytics to provide extensive datasets and valuable insights pertaining to supply chain operations. MCDM techniques employ these realizations to facilitate informed decision-making through the assessment of multiple competing criteria. Usually MCDM approaches are used in the academic research with comparatively lesser application in industry. We argue that MCDM methodologies can play an instrumental role in DSCM, specifically in the areas of supplier selection, demand forecasting, and inventory management. Nevertheless, the integration of MCDM like AHP, ANP, DEMATEL, etc., with decision support systems presents several challenges, including concerns regarding the quality of data and the intricate task of assigning weights to various factors.

The main purpose of this study is to analyze the heat transfer phenomena in a dynamically bulging enclosure filled with Cu-water nanofluid. This study examines the convective heat transfer process induced by a bulging area considered a heat source, with the enclosure's side walls having a low temperature and top and bottom walls being treated as adiabatic. Various factors, such as the Rayleigh number (Ra), nanoparticle volume fraction, Darcy effects, Hartmann number (Ha) and effects of magnetic inclination, are analyzed for their impact on the flow behavior and temperature distribution.

The finite element method (FEM) is employed for simulating variations in flow and temperature after validating the results. Solving the non-linear partial differential equations while incorporating the modified Darcy number (10⁻³ ≤ Da ≤ 10⁻¹), Ra (10³ ≤ Ra ≤ 10⁵) and Ha (0 ≤ Ha ≤ 100) as the dimensionless operational parameters.

This study demonstrates that in enclosures with dynamically positioned bulges filled with Cu-water nanofluid, heat transfer is significantly influenced by the bulge location and nanoparticle volume fraction, which alter flow and heat patterns. The varying impact of magnetic fields on heat transfer depends on the Rayleigh and Has.

The geometry configurations employed in this research have broad applications in various engineering disciplines, including heat exchangers, energy storage, biomedical systems and food processing.

This research provides insights into how different shapes of the heated bulging area impact the hydromagnetic convection of Cu-water nanofluid flow in a dynamically bulging-shaped porous system, encompassing curved surfaces and various multi-physical conditions.

This study explores the adoption of crowdfunding in Pakistan, focusing on the challenges and opportunities within its unique entrepreneurial ecosystem. The research aims to provide insights into the regulatory mechanisms, stakeholder engagement and institutional factors influencing crowdfunding adoption.

Seventeen semi-structured interviews were conducted using a purposive sampling technique. Data was collected from diverse stakeholders involved in the crowdfunding process including investors, entrepreneurs, platform owners and regulators.

The study identifies various challenges, including regulatory gaps, investor concerns, platform-related issues and systemic challenges such as political instability and weak institutions. These challenges hinder the effective implementation of crowdfunding in Pakistan. Moreover, the study highlights opportunities for financial inclusion, bridging the gap between investors and entrepreneurs, and leveraging Pakistan’s entrepreneurial landscape for crowdfunding growth. While several challenges were common to both developed and developing countries, the study also identified distinct challenges such as digital literacy, reliance on the undocumented economy, insufficient regulatory frameworks and investor mindset specific to developing countries.

Since crowdfunding is an emerging phenomenon in Pakistan, this study had limitations as no official crowdfunding platform other than the Pakistan National Investor Portal had started operations. Therefore, this study involved only those stakeholders who were involved in designing regulatory sandbox suggestions. The sample size could be increased to include stakeholders from other developing countries in the future. This article, however, provides significant strategic guidance for policymakers in developing a framework to improve financial inclusion in development.

The study provides critical areas of concern for regulatory authorities for developing appropriate legislation to help overcome the challenges to the institutionalization of crowdfunding. This study also encourages stakeholders like investors and entrepreneurs to participate in crowdfunding while looking at the perspective of other parties.

This research highlights the need for the Pakistani society to be well-informed about alternative investment opportunities, like crowdfunding. The micro, small and medium enterprises (MSME) sector, along with the government, can also explore the benefits of crowdfunding to address their lack of access to capital and enable the inclusion of an informal economy to reduce poverty in a developing country.

Crowdfunding is a new phenomenon in Pakistan, and the scope of its application in the MSME sector has not been thoroughly investigated. This study reveals how micro and small firms can use crowdfunding to boost their economic operations by overcoming challenges and taking advantage of fintech (financial technology) to achieve financial inclusion, leading to economic sustainability.

This study addresses tourists' post-consumption perspectives on the impact of online destination experiences and animosity on travel decisions. Developing a framework based on the stimulus-organism-response (SOR) theory, we examine the previously unexplored relationship between post-negative events, online destination brand experience (ODBE), tourists' animosity and destination boycott intentions within the domestic tourism context.

Data from 355 actively engaged domestic travelers in Pakistan who follow destination social media pages (i.e. Instagram and Facebook) was analyzed using structural equation modeling.

The findings reveal that post-negative events ODBE significantly stimulate tourists' animosity, which in turn drives destination boycott intentions. The ODBE indirectly affects boycott intentions through animosity, acting as a partial mediator. The analysis highlights the significance of the users' prior experience levels (novice vs experienced). Multigroup analysis shows that novice visitors are more sensitive to negative online experiences, resulting in stronger animosity than experienced visitors. Animosity significantly drives boycott intentions, particularly among experienced visitors.

This study’s novelty lies in its comprehensive examination of post-negative events, focusing on how the ODBE influences tourists' negative emotions and boycott intentions. These findings offer valuable insights for tourism researchers and destination marketers, underscoring the importance of optimizing post-service failure ODBE strategies for brand repair, online reputation management, digital marketing innovation and customized service recovery to mitigate the impact of negative events.

The current study focuses on the relationship between total quality management (TQM) and sustainable performance (SP) and examines how TQM practices can facilitate firms' achievement of sustainable performance. Knowledge management (KM), with its four dimensions, i.e. knowledge creation (KCR), knowledge acquisition (KAC), knowledge sharing (KSH) and knowledge application (KAP), is also an essential factor for organizations. Therefore, this study also focuses on the mediating role of KM in the relationship between TQM and sustainable performance.

This study used a survey method to collect data from the managers of 485 manufacturing SMEs working in five major industrial cities in Pakistan. Collected data were analyzed through PLS-SEM with the help of smart-PLS.

The study's findings reveal that TQM practices positively influence the environmental and economic sustainability of the firm. At the same time, there is no evidence that TQM practices positively affect the social sustainability of the firm. Results further elaborate that TQM practices significantly affect all four dimensions of KM. Moreover, KM positively affects the two dimensions of SP, i.e. economic and social sustainability, but surprisingly, the impact of KM on environmental sustainability is not found. Finally, results indicate the significant mediating role of KM between TQM and SP.

This study contributes to bridging research gaps in the literature and advances how TQM, directly and indirectly, helps firms improve sustainable performance via the mediating role of KM.

This paper is supposed to provide a critical review of current research progress on thermal management in grinding of superalloys, and future directions and challenges. By understanding the current progress and identifying the developing directions, thermal management can be achieved in the grinding of superalloys to significantly improve the grinding quality and efficiency.

The relevant literature is collected from Web of Science, Scopus, CNKI, Google scholar, etc. A total of 185 literature is analyzed, and the findings in the literature are systematically summarized. In this case, the current development and future trends of thermal management in grinding of superalloys can be concluded.

The recent developments in grinding superalloys, demands, challenges and solutions are analyzed. The theoretical basis of thermal management in grinding, the grinding heat partition analysis, is also summarized. The novel methods and technologies for thermal management are developed and reviewed, i.e. new grinding technologies and parameter optimization, super abrasive grinding wheel technologies, improved lubrication, highly efficient coolant delivery and enhanced heat transfer by passive thermal devices. Finally, the future trends and challenges are identified.

Superalloys have excellent physical and mechanical properties, e.g. high thermal stability, and good high-temperature strength. The superalloys have been broadly applied in the aerospace, energy and automobile industries. Grinding is one of the most important precision machining technologies for superalloy parts. Owing to the mechanical and physical properties of superalloys, during grinding processes, forces are large and a massive heat is generated. Consequently, the improvement of grinding quality and efficiency is limited. It is important to conduct thermal management in the grinding of superalloys to decrease grinding forces and heat generation. The grinding heat is also dissipated in time by enhanced heat transfer methods. Therefore, it is necessary and valuable to holistically review the current situation of thermal management in grinding of superalloys and also provide the development trends and challenges.

The study aims to complement extant literature by assessing linkages between financial development, external flows and CO₂ emissions in 27 sub-Saharan African countries for the period 2002 to 2018.

The empirical evidence is based on interactive quantile regressions and external flows consist of remittances, foreign aid, trade openness and foreign investment.

The findings show minimum levels of external flows that should be reached in order for the interaction between external flows and financial development to promote environmental sustainability in terms of reducing CO₂ emissions. The minimum thresholds are critical levels of external flows that should be reached before financial development promotes environmental sustainability.

Policy implications – The disclosed external flow (i.e. FDI, foreign aid, trade and remittances) thresholds are actionable policy thresholds that the government can act upon in order to influence environmental sustainability by means of financial development. Theoretical implications – The findings below the external flow thresholds are consistent with the dependency theory in that external flows are harmful to socio-economic progress and environmental sustainability. When external flows are consolidated to the established critical masses or thresholds in the long run, the corresponding findings are in line with the extant neoclassical and endogenous growth theories, not least, because in the long run, external flows are associated with technological progress and adoption of stronger environmental legislation at the domestic level which are worthwhile in promoting environmental performance.

To reach the minimum trade and FDI levels that are worthwhile for the promotion of environmental sustainability, corporations should set targets on exports and imports as well as foreign investment levels that they have to attain in contributing to the national target of external flows needed to reduce CO₂ emissions. Such trade and FDI targets should be set in industries of various economic sectors.

The study complements the extant literature by assessing how external flows interact with financial development to influence CO₂ emissions.

In today’s business landscape, drawing upon the critical role of environmental sustainability, this study investigates the intricate relationship between green human resource management practices (GHRMP), big data analytics capability (BDAC), green competitive advantage (GCA) and environmental performance (EP), further moderated by managerial environmental concern (MEC).

This study employs a quantitative approach using the latest version of SmartPLS 4 version 4.0.9.6 on a data sample of 467 participants representing a diverse range of manufacturing SMEs. Data were collected from managers and directors using a structured questionnaire and analyzed using structural equation modeling (SEM). This study contributes to the existing knowledge by integrating GHRMP and BDAC within the GCA framework, providing a comprehensive understanding of how these practices enhance SME`s sustainability.

The findings provide valuable insights into the manufacturing sector, aiming to enhance SMEs' green competitive advantage. Implementing GHRMP fosters environmental awareness within the workforce, and building BDAC allows for effectively translating that GHRMP into actionable insights, maximizing the potential for achieving GCA. Furthermore, recognizing MEC’s moderating role strengthens positive environmental outcomes associated with GCA. The findings confirm that GHRMP and BDAC are valuable resources and key drivers contributing to competitive advantage in sustainability of enterprises.

For SMEs, our findings suggest that strategically integrating GHRMP with BDAC not only boosts environmental stewardship but also improves operational efficiency and market positioning. This research outlines actionable steps for SMEs aiming to achieve sustainability targets while enhancing profitability. This research provides actionable insights for SMEs in strategic decision-making and policy formulation, aiding SMEs in navigating the complexities of sustainable development effectively.

This study contributes to the existing knowledge by integrating GHRMP and BDAC within the GCA framework, providing a robust theoretical explanation of how HRM practices and BDAC help SMEs gain green competitiveness. The implication of this study reveals that SMEs implementing and integrating green HRM practices with advanced data analytics are more likely to gain competitive advantage. This study draws theoretical support from the resource-based view (RBV) theory, positing that a firm’s sustainable competitive advantage stems from its unique and valuable resources and capabilities that are difficult for competitors to imitate or substitute.