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This study addresses the question of whether Islamic epistemology and ethics advance the understanding and promotion of sustainable development (SD) in the field of Islamic management, economics and finance (IMEF). This study also aims to understand how contemporary ethical theories explain and harmonise Islamic ethics in the context of SD.

This study adopts the PRISMA protocol and conducts a systematic literature review of 62 articles published from 2015 to 2023 to provide answers to four research questions. The selected publications were taken from the Web of Science, Scopus and Google Scholar databases, using the purposive sampling technique, and taking into account the selection criteria of quality, relevance and timeliness of the publications.

Four key findings emerged from the review. Firstly, Islamic epistemology and ethics, drawn from the Qur’an and Hadith, guide practices toward SD. Secondly, Islamic epistemology and ethics promote SD through various initiatives, including ethical behaviour, environmental stewardship, social responsibility, Islamic banking and financing ethics and Islamic social financing principles among others. Third, contemporary ethical theories such as virtue ethics, intentionalism, consequentialism and deontological ethics enrich the application of Islamic ethical foundations in the context of SD. Finally, the theoretical connection between Islamic epistemology, ethics and SD lies in their alignment toward promoting ethical behaviour, social responsibility and holistic ecosystem well-being.

The insights provided by this review offer practical implications for researchers, policymakers and practitioners in IMEF. The insights also underscore the importance of integrating Islamic ethical principles into SD initiatives and policy frameworks.

This novel study offers unique perspectives by integrating contemporary ethical theories with Islamic ethics and epistemology to justify SD in ways that are both theoretically and practically significant. In addition, six novel propositions are suggested for future research in IMEF.

Since the advent of Industry 4.0, there has been a growing research interest in developing the Green Lean Six Sigma concept in the direction of achieving sustainable development, primarily aligned with Goal 12 of the agenda. Given that the concept is still in its early stages of exploration and requires further development through empirical validation, opportunities exist for innovative research. Yet, difficulties arise in adopting this green initiative due to an inadequate understanding of its strategic practices. Thus, this study aims to establish strategic practices facilitating its adoption in the Industry 4.0 era and develop a validated multi-item scale to measure the practices.

A three-phase methodological approach is designed to perform the techniques of exploratory and confirmatory analyses in the manufacturing context. To be a sound study, engineers have been involved since they play a pivotal role in the realm of manufacturing; however, the existing research on engineers' viewpoints on this subject is limited, emphasizing the need for further investigation.

Upon validation of the ultimate fallouts, the analyses demonstrated a confirmatory model with eighteen scales determining five practices: strategic integrity, human resource management, technologies and tools, eco-production, and eco-networks. The findings further revealed robust correlations among these core practices within the model.

The contribution of this study entails depicting and discussing a measurement model for future research since there is currently no empirically validated model available to measure this multidimensional green initiative.

The purpose of this investigation is to examine how the adaption of digital supply chain management (DSCM) practices affects the efficiency of factories and sustainable production. The research consists of eight constructs which, respectively, inspired eight hypotheses.

The emergence of DSCM practices has significant importance for sustainable production and enhances overall firm performance.

The smart PLS-SEM approach allowed us to examine the data from 450 factories in Côte d'Ivoire. The results indicated that research hypotheses are highly significant and exhibit a strong correlation with DSCM for firm performance and competitiveness. The outcomes underscore the significance of DSCM strategies in achieving competitive advantage, enhancing firm performance and promoting sustainable production within the manufacturing sector.

This study is useful for policymakers, industrialists and the government of Côte d’Ivoire.

The purpose of this study is to investigate the simultaneous effects of normal wall transpiration, stretching strength parameter, velocity slip and nanoparticles on the flow of a ternary hybrid nanofluid through an elastic surface. The goal is to understand the behavior of the flow field, temperature distribution, skin friction and temperature gradient under these conditions, and to explore the existence and nature of solutions under varying parameter values.

The analysis involves expressing the flow field, power-law temperature field, skin friction and temperature gradient in closed-form formulas. The study examines both stretching and shrinking surfaces, distinguishing between unique and dual solutions. The methodology includes deriving exact solutions for exponential and algebraic temperature and temperature rate formulas analytically by deriving the system of governing equations into ordinary differential equations.

The study reveals that for a stretching sheet, the solution is unique, whereas dual solutions are observed for a shrinking surface. Special solutions are provided for various parametric values, showing the behavior of the exponential and algebraic temperature and temperature rate, with a focus on identifying turning points that demarcate the existence and non-existence of single or multiple solutions. The solutions are represented through graphs and tables to facilitate a comprehensive qualitative analysis. The research identifies turning points that determine the presence or absence of single or multiple solutions, uncovering multiple solutions for different parameter sets. These findings are displayed graphically and in tabular form, highlighting the complex interplay between the parameters and the resulting flow behavior.

This analysis contributes to the field by providing new insights into the multiple solution phenomena in ternary hybrid nanofluid flows, particularly under the combined effects of normal wall transpiration, stretching strength, velocity slip and nanoparticle presence. The identification of turning points and the exact solutions for various temperature profiles are of significant value, offering a deeper understanding of the factors influencing the flow and thermal characteristics in such systems. The study’s findings have potential applications in optimizing fluid flow in engineering systems where such conditions are prevalent.

This paper examines the nexus between input credit access, farm performance and food nutrition in Ghana.

Using a random sample of 239 smallholder rice farmers, we utilized the endogenous switching regression model to address the self-selection issue and estimate the impact of input credit access on farm performance and food nutrition and further analyze the heterogenous impacts.

The results show that socioeconomic (age, education, sex, off-farm activity and farm size), institutional (extension contact and farmer-based organizations) characteristics and location variable significantly influence the decision to access input credit. After adjusting for both observed and unobserved factors, our findings reveal that access to input credit significantly improves rice yield, net profit and food nutrition of smallholder rice farmers in Ghana. Furthermore, results reveal that the effects of input credit access on rice yield, net profit and food nutrition are heterogeneous and subject to farmers’ propensity to access input credit. Specifically, we find that those with a higher inclination to access input credit experience larger positive impacts, indicating a positive selection process.

Access to agricultural input credit is essential for the adoption of modern and climate-smart technologies in agricultural production. However, the persistent lack of access to input credit hampers agricultural productivity and constrains investment in farm input resources in Sub-Saharan Africa. Our study calls for proper targeting of input credit interventions to incentivize the uptake of farm input credit such as improved seeds and fertilizers to improve overall crop production and achieve food security.

The study utilized rigorous econometric methods to analyze the impact of input credit access on smallholder rice farmers' farm performance and food nutrition in Ghana. The findings provide valuable guidance for policymakers and future research on agricultural development in Ghana.

This study aims to analyze and clarify the influence of knowledge-oriented leadership (KOL) on radical and incremental innovation via the mediating role of knowledge sharing (KS). This study also explores the relationship between KS and two aspects of innovation capability by examining the moderating role of market turbulence.

The research model was tested using a structural equation modeling design based on survey data collected from 335 participants in 132 manufacturing and service firms in Vietnam.

The findings revealed that KOL serves as a key precursor to foster radical and incremental innovation directly or indirectly through KS processes. In addition, it highlights the moderating role of market turbulence in strengthening the impact of KS activities on two forms of innovation capability.

By highlighting the important role KOL practice for stimulating KS behaviors, this paper provides a valuable understanding and novel approach for firms to improve radical and incremental. The research findings support the idea that market turbulence significantly contributes to increasing the effects of KS on innovation capability.

This study contributes to bridging research gaps in the the literature and advances the insights of how KOL directly and indirectly fosters innovation capability via the mediating role of KS processes under the market turbulence.

This study aims to explore how financial factors affect both conventional and Islamic stock market indices of G7 countries from July 27, 2015, to February 29, 2024.

It examines local factors like CDS, exchange rates and bond yields, along with global ones such as USCDS, VIX, OVX and MSCI, using the innovative MM-QR method to identify any asymmetric effects on stock market returns during bull, bear and normal market phases.

The findings suggest that CDS has a more pronounced negative impact on the conventional index compared to the Islamic index. While 10-year bond yields generally have a positive influence on both indices, except during bullish phases in Islamic markets. Exchange rates tend to negatively correlate with stock returns in both markets, except for a specific quarter in conventional markets. USCDS has a positive relationship with both conventional and Islamic indexes. The MSCI World Index has a significant positive effect on both markets, while VIX negatively affects the conventional market but tends to be positive in Islamic markets during bear and normal market conditions. OVX indicates that adverse news from the global oil market negatively impacts both conventional and Islamic stock markets.

Previous research has overlooked the comparative analysis, focusing solely on either Islamic or conventional equities. Therefore, the study initiates by analyzing how changes in financial factors affect Islamic equity returns within the G7 nations, with a parallel investigation into whether these effects align with those observed in conventional equity markets.

This study sought to examine the interactional effect of emotional intelligence (EI) and supervisory support (SS) in the relationship between leader–member exchange (LMX) and work–family conflict (WFC).

The study adopted the survey research design, where 286 employees in the Ghanaian financial services sector were sampled for this study. The data retrieved from the respondents were quantitatively analyzed using descriptive and inferential statistics with the aid of IBM SPSS Statistics (Version 26.0), SmartPLS (Version 4.0) and the Hayes PROCESS macro.

As hypothesized, this study revealed that LMX positively and significantly relates to WFC, while EI and SS significantly moderated the relationship between LMX and WFC.

The findings of this study revealed the need for organizations to develop and implement policies that promote good leadership among employees.

This study fills the research gap in the Ghanaian financial service sector regarding the moderating effect of supervisory support and emotional intelligence in the nexus between leader–member exchange and employees’ work–family conflict.

The purpose of this study was to investigate the implications of green knowledge sharing (GKS), organizational green culture (OGC) and green training and development (GTD) for organizational environmental citizenship behavior (OECB) in the hotel sector in Ghana.

Using self-administered survey procedures, 415 operational-level employees in hotel facilities provided the data and was analyzed through partial least square structural equation modeling. Bootstrapping was conducted using 10,000 subsamples and Importance-Performance Map Analysis (IPMA) performed.

It was established that GKS influences both OECB and OGC. OGC also influenced OECB and played a mediating role in the influence of GKS on OECB. Similarly, GTD played a positive moderating role in the link GKS has on OECB. Finally, it was revealed via IPMA that OECB’s most important antecedent is GKS.

Due to the roles of GKS and GTD in promoting OGC and OECB, organizations should motivate their employees to share green knowledge and also invest more in GTD. Gamification and sponsoring employees to attend GTD programs are examples of actions to be taken in this regard.

This study explores antecedents of OECB which is overlooked in the literature in general and specifically, hospitality industry-focused green studies. Using IPMA, it also determines the most important antecedent of OECB which most studies focused on the hospitality industry do not go further to do.