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Fake news on social media about COVID-19 pandemic and its associated issues (e.g. lockdown) caused public panic that lead to supply chain (SC) disruptions, which eventually affect firm performance. The purpose of this study is to understand how social media fake news effects firm performance, and how to mitigate such effects.

Grounded on dynamic capability view (DCV), this study suggests that social media fake news effects firm performance via SC disruption (SCD) and SC resilience (SCR). Moreover, the relation between SCD and SCR is contingent upon SC learning (SCL) – a moderated mediation effect. To validate this complex model, the authors suggest effectiveness of using partial least squares structural equation modeling (PLS-SEM). Using an online survey, the results support the authors’ hypotheses.

The results suggest that social media fake news does not affect firm performance directly. However, the authors’ serial mediation test confirms that SCD and SCR sequentially mediate the relationship between social media fake news and firm performance. In addition, a moderated serial mediation test confirms that a higher level of SCL strengthens the SCD–SCR relationship.

This work offers a new theoretical and managerial perspective to understand the effect of fake news on firm performance, in the context of crises, e.g. COVID-19. In addition, this study offers the advancement of PLS as more robust for real-world applications and more advantageous when models are complex.

Prior studies in the SC and marketing domain suggest different effects of social media fake news on consumer behavior (e.g. panic buying) and SCD, respectively. This current study is a unique effort that investigates the ultimate effect of fake news on firm performance with complex causal relationships via SCD, SCR and SCL.

We determine the effects of micro‐inertia density and the vortex viscosity on laminar free convection boundary layer flow of a thermomicropolar fluid past a vertical plate with exponentially varying surface temperature as well as surface heat flux. The governing nonsimilarity boundary layer equations are analyzed using: first, a series solution for small ξ (a scaled streamwise distribution of micro‐inertia density), second, an asymptotic solution for large ξ and, third, a full numerical solution implicit finite difference method together with Keller‐box scheme. Results are expressed in terms of local skin friction and local Nusselt number. The effects of varying the vortex viscosity parameter, Δ, surface temperature and the surface heat flux gradient n and m respectively against ξ for fluids having Prandtl number equals 0.72 and 7.0 are determined.

Grounded in dynamic capabilities theory, this study aims to examine how dynamic capabilities and a transactive memory system (TMS) can build the resilience of service organizations and improve their financial performance. Limited studies examine the link between a TMS and organizational resilience.

The authors test a theoretical model on a sample of 350 UK service firms that were impacted by the COVID-19 pandemic and analyze the data using partial least square structural equation modeling.

Results highlight the positive effects of a TMS and dynamic capabilities on organizational resilience. Only a TMS and organizational resilience have direct positive effects on financial performance.

To the best of the authors’ knowledge, this is the first study to ascertain the influence of a TMS on organizational resilience in service firms following adversity.

Using dynamic capabilities (DCs) theory, the authors assess whether micro, small and medium-sized enterprises (MSMEs) can leverage DCs to improve operational capabilities (OCs) during the COVID-19 pandemic. The authors also identify whether organizational learning (OL) affects the relationship between DCs and OCs.

The authors test these propositions on a sample of 419 MSMEs from Australia and New Zealand.

DCs have no direct effect on OCs, technological or marketing capabilities (TCs or MCs). OL moderates the effect of DCs on both TCs and MCs.

The study assesses only MCs and TCs as OCs and does not explicitly measure pandemic impacts on organizations. However, the results illustrate the importance of OL during crises for recovery purposes.

Managers can use the findings to improve structure, processes and knowledge management emanating from MCs and TCs within organizations impacted by the COVID-19 pandemic.

The authors use a multi-dimensional measure of OL and show that during the pandemic, OL is a critical factor that allows organizations to transform the benefits conferred by DCs into MCs and TCs.

Drawing on a dynamic capability view, this study develops a decision support model that determines the most suitable configuration of strategies and challenges to adopt additive manufacturing (AM) to expedite digital transformation and performance improvement of the surgical and medical device (SMD) supply chain.

To investigate the research objective, a multi-method and multi-study research design was deployed using quality function deployment and fuzzy set qualitative comparative analysis.

The study finds that only resilience strategies or negation (i.e. minimisation) of challenges are not enough; instead, a configuration of resilience strategies and negation of challenges is highly significant in enhancing performance.

SMD supply chain decision-makers will find the decision support model presented in this study as beneficial to be resilient against various challenges in the digital transformation of service delivery process.

This study builds new knowledge of the adoption of AM technology in the SMD supply chain. The decision support model developed in this study is unique and highly effective for fostering digital transformation and enhancing SMD supply chain performance.

An analysis is performed to study the skin‐friction, the couple‐stress and heat transfer characteristics of a laminar free‐convection boundary layer flow of a micropolar fluid past an isothermal plate inclined at a small angle to the horizontal. When the inclination is positive, series solutions, one valid near the leading edge and the other at a large distance from it, are obtained. Introducing a strained coordinate transformation, the local nonsimilar boundary layer equations are also derived for the flow from the leading edge to downstream, solutions of which are obtained by using an implicit finite difference method. When the inclination is negative, the boundary layer separates. The effects of the material parameters on the skin‐friction, the local couple‐stress, the local Nusselt number and the point of separation for a negatively inclined plate have been investigated.

It is well known that stress singularity may exist at the edges of a bonded bi‐material interface due to the discontinuity of material properties. This stress singularity causes difficulty in accurately determining the bi‐material interface bonding strength. This paper aims to present a new design of specimen geometry to eliminate the stress singularity and present an experimental procedure to more accurately determine the bonding strength of the bi‐material interface.

The design is based on an asymptotic analysis of the stress field near the free edge of bi‐material interface. The critical bonding angle, which delineates the singular and non‐singular stress field near the free edge, is determined.

With the new designed specimen and a special iterative calculation algorithm, the interface bonding strength envelope of an epoxy‐aluminum interface was experimentally determined.

This new design of specimen, experimental procedure and iterative algorithm may be applied to obtain more reasonable and accurate bonding strength data for a wide range of bi‐material interfaces.

The aim of this study is to conduct a comparative analysis between Islamic and conventional banks in terms of whether Islamic banks was more or less resilient/risky than conventional counterparts to the pandemic shock. It also examines the role of capital in improving the performance and stability within the two banking systems.

This study uses 82 banks from MENA (Middle East and North Africa) region for periods across 2011–2020, and employs a dynamic panel data approach to examine the resilience within both banking systems during the Covid-19 pandemic.

The results show that the Covid-19 pandemic has a negative impact on conventional banks' stability. However, Islamic banks performed better and were less risky than conventional ones. Banks with high-quality capital are more effective at controlling their risks and improving their performance during the pandemic.

The results offer important financial observations and policy implications to many stakeholders engaging with banks. Actually, the findings of this study facilitate to the stakeholders and bankers to have an alluded picture about determinants of risk and performance. The results can be used by bankers’ policy decision-makers to improve and enhance their consideration for risk management, taking into consideration the type of banking systems.

Compared to the various studies on the stability of Islamic and conventional banks, researchers have not sufficiently addressed the effect of the Covid-19 pandemic on risk and performance. Moreover, none of these studies has examined if Islamic banks was more or less resilient/risky than conventional counterparts to the pandemic shock. This leads the authors to identify the similarities and differences between two types of banks in the MENA region in a pandemic shock context.

In recent years, Islamic banking (IB) has received a lot of scholarly interest, as seen by the substantial increase in publications on the subject worldwide. The increasing rate of publications on IB indicates that this subject has attracted a substantial amount of scholarly attention. It has also been a prioritized topic for many banking and financial scholars in Bangladesh. This paper aims to conduct a bibliometric analysis to assess the research on IB in Bangladesh.

The method used in this study is a bibliometric analysis of the sample literature collected in January 2022 from the SCOPUS database. The sample size of the study is 120 articles published between 1999 and 2021 which meet the specific selection criteria. To analyze the data, software such as Rstudio (Rshiny), Microsoft Excel and VOSviewer have been used. The analyses were performed in three broad categories: overall performance indicators, citation analysis and cross-dimensional keyword analysis, followed by a brief content analysis that identifies research streams.

This paper shows a notable increase in the number of publications between 2012 and 2021 with Alam M.K. being the highest contributor to this momentum publishing 12 articles. The findings also highlight the most contributing countries, organizations, publications, articles, sources and subjects. Out of 120 articles, this study has identified 14 research streams that have already been investigated by previous authors. The research streams include the growth of IB in Bangladesh; corporate social responsibility; Islamic human resource management; comparative study; customer satisfaction; development issues; efficiency of Islamic banks; green banking; Islami Bank Bangladesh Limited; IB industry; Islamic finance; Islamic microfinance; Shariah governance; and theoretical aspects of IB in Bangladesh. This study further identified future research agenda with specific research questions.

This research is limited to journal articles published in English in Scopus-indexed publications. Further research could include various databases, such as the Web of Science, and increase studied units. While this study focused only on bibliometric analysis and research streams, future studies may center on the systematic review of articles published on specific topics.

Although IB is a rising sector in the financial system of Bangladesh, to the best of the authors’ knowledge, this is the first bibliometric analysis of IB in Bangladesh. The 14 research streams identified in this study also uniquely provide 10 future research agendas with 39 specific research questions.

Drawing on the resource-based view (RBV), this study aims to investigate the impact of social capital, namely, structural (information sharing), cognitive (shared value) and relational (relationship commitment) capital in the supplier and the customer side on supply chain performance in a longitudinal design. It further aims to examine the moderating effect of change in competition intensity.

Based on two-wave data collected from 203 manufacturers in China, this study uses the ordinary least square and first-difference regression methods to test the proposed relationships.

The results show the effect of social capital on supply chain performance and the dynamic nature of supply chain social capital. The causal analysis further reveals the significance of supplier-side structural and relational capital in improving supply chain performance. Moreover, competitive intensity plays an important moderating role.

This study, to the best of the authors’ knowledge, is one of the first to demonstrate the longitudinal effect of supply chain social capital on supply chain performance.