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This paper examines the extent to which exchange rate volatility (ERV) is crucial for small island economies. These economies by their very nature and size tend to be net importers and highly dependent on trade for their economic survival. The island of Mauritius is used as a case study.

A GARCH model has been utilized using yearly data for the period 1993–2022. The ARDL bounds cointegration approach has been used to determine the long run relationship between exchange rate volatility and the performance of exports. The ECM-ARDL model has been used to estimate the short-run relationships, that is the speed of adjustments between the variables under consideration.

The findings reveal that exchange rate volatility has a positive and significant effect on exports in the short run as well as in the long run. The study also finds out that export has a long-term relationship with world GDP per capita. Both the presence and degree of exchange rate volatility are important aspects for consideration in policy making.

The literature gap that this study attempts to close is one related to global impacts within the recent time horizon. Recently, numerous important events shaped the financial and economic landscape globally, including but not limited to the financial crisis of 2008 and the COVID-19 pandemic in 2019. Both these events stressed the global volume of trade and the exchange rate markets, and these events affects small islands comparatively more given their heavy dependence on international trade for economic development, albeit economic survival.

This research aims to systematically compare the impact of macro drivers on labor efficiency (LEFF) in high and low trade openness economies, employing the Solow model as the theoretical framework.

This study examines the influence of macro drivers on LEFF from 1995 to 2020, employing advanced panel regression methods such as stepwise regression (SR), fully modified ordinary least squares (FMOLS) and panel OLS. It utilizes Pedroni and Johansen co-integration tests to assess long-term dynamics and Granger causality tests to explore causal relationships between macro drivers and LEFF.

The results reveal both long-term and short-term relationships between LEFF and the macro drivers: gross capital formation (GCF), per capita income (PCI), foreign direct investment (FDI), trade openness (TOP) and gross national savings (GNS). The findings show that these macro drivers positively and significantly influence LEFF in both high and low TOP economies. Specifically, FDI, PCI and GNS have a more substantial positive impact on LEFF in low TOP economies, while GCF and TOP have a greater influence in high TOP economies. Furthermore, in high TOP economies, FDI, TOP and PCI exhibit a unidirectional relationship with LEFF, while GNS and GCF show a bidirectional relationship. In low TOP economies, all five macrodrivers exhibit bidirectional relationships with LEFF.

This research focuses on countries with high and low TOP, limiting the generalizability of its findings to other economic systems due to the unique trade, institutional and governance frameworks of these two distinct groups.

To the best of the authors’ knowledge, this study is the first to compare the impact of theoretical macro drivers on LEFF across groups of countries differentiated by their degrees of TOP (high and low).

This paper aims to examine the role of Islamic banks’ (IBs) governance in the management of investment funds. This is achieved by comparing the returns to shareholders with those to the Unrestricted Profit-Sharing Iinvestment Account Holders (UPSIAHs), referred to as the spread.

This study is based on a dynamic panel data analysis using the generalized method of moments for a panel of IBs based in Gulf Cooperative Council (GCC) and Southeast Asian (SEA) countries observed over the 2006–2019 period.

The authors find that governance quality reduces the spread of SEA-IBs compared to GCC-IBs, suggesting that Asian banks have access to a wider choice of investment and growth options. The authors also find a positive association between GCC-based IBs governance quality and the widening spread between returns to shareholders and UPSIAHs, which suggests that while IBs are enhancing profitability through better governance, this may not lead to fair profit-sharing with UPSIAHs.

It would be beneficial to expand the sample to include more representative IBs from various countries.

The widening spread between returns to shareholders and UPSIAHs makes the latter feel displaced, which could eventually exacerbate the displaced commercial risk. This highlights the need for targeted governance reforms and investment strategies to better align the interests of stakeholders, thereby improving bank performance and mitigating financial disparities.

This paper is, to the best of the authors’ knowledge, the first to empirically examine the effect of various governance mechanisms on the spread between returns to shareholders and Unrestricted Profit-Sharing Investors’ Account Holders (UPSIAHs) in IBs.

Supply chain revamping (SCR) is an important strategy for firms to improve their supply chain operations in a rapidly changing environment. The purpose of this study is to shed light on the impact of SCR on shareholder value.

Based on Signaling Theory and 184 SCR announcements published by US-listed firms from 2013 to 2018, this study employs event study methodology and empirically examines three issues: Antecedents of SCRs; Primary purposes and actions of SCRs; In addition to the impact of SCRs on shareholder value using stock returns, we also examined the factors that can influence the extent of stock returns.

Firstly, our results indicate that SCRs are primarily driven by firms’ poor prior performance, CEO turnover and external control threats (ECTs). Secondly, the stock market favors SCRs aiming to meet customer needs and those accomplished through network remodel. However, the market reacts negatively to SCRs aiming at cutting costs, improving poor performance, and those implemented through network trim. Finally, the cross-sectional analysis indicates that shareholders prefer firms operating in more competitive or faster-growing industries and those adopting an expansionist strategy than those adopting a streamlining strategy.

Our study provides managers with valuable insights into when firms can benefit from initiating SCRs not only by examining the purposes and actions of SCRs but also by examining the industry- and strategy-specific moderators. Our study illuminates the conditions under which SCR will positively affect shareholder value. Additionally, this study contributes to the existing literature by deepening the understanding of the impact of supply chain decisions on firm performance and identifying the marginal conditions under which the stock market will react positively to SCR announcements.

This study evaluates the impact of environmental innovation (EI) on the Sustainable Development Goals (SDGs) along with mediating role of green branding among the production oriented small and medium-sized enterprises (SMEs) based on the resource-based view (RBV) and ecological modernization theories.

The study compiled data through questionnaire-based survey and inspected via partial least square structural equation modelling (PLS-SEM) to find results.

The findings indicate that EI aligns positive significant association with SDGs among the production SMEs. The study also discovers that green branding mediates between EI and SDGs.

The results have interesting implications for policy and explicate the practitioners to apply the techniques of eco-organizational innovation, eco-product innovation and eco-process innovation to achieve SDGs.

Even, the topics of EI and SDGs have gained significant attention, but this is the first study in these domains.

The current paper aims to discuss the implementation of Green Lean Six Sigma (GLSS) in the food industry to improve sustainable practices. The focus is more specifically on dairy processors to ascertain the current state of the literature and aid future research direction.

Utilising a systematic literature review (SLR), the paper addresses various terms and different written forms in the literature. The study characterises the current deployment of GLSS in the food industry and explains the reported benefits of this approach.

GLSS, a concept that has yet to be fully explored in the food industry, as in other sectors, holds significant potential to enhance the food industry’s sustainability practices. The dairy sector, a subsector of the food industry known for its high greenhouse gas emissions, is a prime candidate for the application of GLSS. In instances where it has been applied, GLSS has demonstrated its effectiveness in improving sustainability, reducing waste, lowering greenhouse gas emissions and minimising water usage. However, the specific tools used and the model for GLSS implementation are areas that require further study, as they have the potential to revolutionise food industry operations and reduce their environmental impacts.

Benchmarking of this research by the food industry sector and by academics can aid understanding of the practical application of GLSS tools and aid implementation of these practices to evolve the dairy processing sector in the next decade as sustainability champions in the sector.

This study extensively analyses GLSS in the food industry, with a particular focus on dairy processors.

This study quantitatively investigates the impacts of digital and learning orientations on supply chain resilience (SCR) and firm performance (FP), aiming to fill the gaps in understanding their specific impacts in the context of Industry 4.0 developments and supply chain disruptions.

This study utilized survey techniques and structural equation modelling (SEM) to gather and analyse data through a questionnaire based on a seven-point Likert scale. Hypotheses were formulated based on an extensive literature review and tested using Amos software.

The study confirms SCR’s significant impact on FP, aligning with existing research on resilience’s role in organizational competitiveness. This study uncovers the nuanced impacts of digital and learning orientations on SCR and FP. Internal digital orientation (DOI) positively impacts SCR, while external digital orientation (DOE) does not. Specific dimensions of learning orientation – shared vision (LOS), open-mindedness (LOO) and intraorganizational knowledge sharing (LOI) – enhance SCR, while commitment to learning (LOC) does not. SCR mediates the relationship between DOI and FP but not between DOE and FP.

This research focuses on digital and learning orientations, recommending that future studies investigate other strategic orientations and examine the specific contributions of various digital technologies to SCR across diverse contexts.

The empirical findings emphasize the significance of developing internal digital capabilities and specific learning orientations to enhance SCR and FP, aligning these initiatives with resilience strategies.

This study advances knowledge by distinguishing the impacts of internal and external digital orientations and specific learning dimensions on SCR and FP, offering nuanced insights and empirical validation.

Integrating green (sustainable) practices in logistics management play a crucial role in accelerating the transition to a circular economy, realizing its sustainability potential and position in the net zero emission target by 2050. Over the past decade, this integration has attracted significant attention in both academic and industrial discourse. Despite the increasing recognition of the benefits of green logistics practices (GLPs), only a few firms have implemented green-oriented or sustainable logistics practices; hence, a comprehensive understanding of what could drive its implementation as well as how and when firms can benefit from GLPs is of key importance for theory, policy and practice. Drawing on dual theoretical lenses, this study investigated how supply chain ethical leadership (SCEL) could stimulate green logistics practices by building green core competencies (GCC) under varying conditions of corporate green culture (CGC).

An integrated model motivated by social learning and contingency theories was tested using responses from 208 managers of logistics firms in Ghana. SPSS 23 and covariance-based structural equation modeling (CB-SEM) were used for data analyses.

Both SCEL and GCC significantly influenced GLPs. The findings also showed that GLPs significantly enhanced carbon-neutral supply chain performance (CNSCP). The results further showed that GCC mediates the SCEL–GLPs link. We also found that the effect of SCEL on GLPs was amplified at a high level of CGC.

This study offers fresh insight into how managers can leverage SCEL to support GLP and when they can also combine green competence and green culture to achieve enhanced benefits in the form of carbon-neutral SCP. This further implies that building ethical leadership and competencies alone may not be sufficient to drive superior emission reduction and subsequent sustainability; rather, cultivating a green-oriented culture that values sustainable logistics is crucial to fully realize the potential of ethical leadership and competencies in enabling the implementation of GLPs and subsequently enhancing carbon-neutral SCP.

The novelty of the present study lies in the integration of social learning and contingency theories to unearth the mechanism and conditional roles of green competence and green culture in optimizing the SCEL–GLPs–GLP relationship. The study is also among the few attempts to shed light on how firms can leverage GLPs to enhance carbon-neutral supply chain performance, which is rare.

In today’s competitive business landscape, organizations are increasingly recognizing the strategic advantage of implementing sustainable practices to gain a competitive edge. This study aims to investigate the effect of green artificial intelligence (AI) on achieving a green competitive advantage, examining the mediating roles of green organizational learning, green product innovation and green process innovation. Additionally, the research explores the moderating role of perceived green climate in the relationship between green AI and these mediating factors.

This research examined companies in Isfahan, Iran, that have varying levels of artificial intelligence adoption within their business processes. The target population consisted of 148 senior managers from these companies. This study uses structural equation modeling to examine the proposed model.

Green AI positively impacted green organizational learning and green process innovation but not green product innovation. In addition, the results showed that green organizational learning, green product innovation and green process innovation had positive effects on green competitive advantage. Finally, the results showed that the perceived green climate did not play a moderating role in the relationship between green AI and these mediating factors.

Organizations should prioritize green AI initiatives, foster a culture of green learning and invest in green innovation to achieve sustainable growth and outpace competitors in the environmentally conscious marketplace.

This study positions itself at the forefront of research on green AI and green competitive advantage. It offers a unique framework by examining the combined effects of green AI, green learning and both product and process innovation on achieving a sustainable competitive advantage.

The purpose of this study is to examine the impact of sustainable supply chain management (SSCM) practices on both competitive advantage (CA) and organizational performance (OP) in the manufacturing sector in Ethiopia.

Data for the study were collected from a sample of 221 manufacturing companies operating in the four manufacturing groups/sectors in Ethiopia. In addition, data analysis was performed using the partial least squares method, which is a variance-based Structural Equation Modeling approach in the Smart-PLS software version (SmartPLS 4.0).

Based on the statistical analysis of the collected data, it demonstrates that SSCM has a significant and positive impact on both competitive advantage and organizational performance. Furthermore, statistical findings offer proof of the clear connection between competitive advantage and organizational performance. Moreover, competitive advantage indirectly mediates the relationship between SSCM and OP.

The primary limitation of this research is its reliance on a cross-sectional design. The generalizability of the findings obtained from the present study may be hindered. The variable under investigation in this research assessed organizational performance, a concept that is widely acknowledged to be extremely dynamic.

The study provides managers and researchers with valuable information on Sustainable Supply Chain Management strategies and how they influence competitive advantage and organizational performance in commercial and industrial environments.

This paper adds to the body of knowledge by providing new data and empirical insights into the relationship between SSCM practices and the performance of manufacturing companies in Ethiopia.