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The purpose of this paper is to examine the effect of measures to combat Corona Virus Disease 2019 (COVID-19) pandemic on competitiveness in tourism in Nigeria taking strategic dexterity as the moderating variable.

Survey research design approach was used for the study. A total of 235 valid questionnaires gathered from the personnel of ten urban tourist centres in Nigeria were used to examine the goodness of model fit, measurement model and structural correlations between constructs. Partial least squares structural equation modelling approach (PLS-SEM) using Advanced Analysis for Composite (ADANCO 2.2.1) was used to evaluate the hypotheses.

This study finds that travel restriction, boarder closure and strategic dexterity were significant to competitiveness, among which border closures has generated the highest path coefficient. Moreover, the study finds a significant moderating role of strategic dexterity between travel restrictions, border closure and competitiveness. Future studies can reproduce the study by incorporating mediating variables covering the all-tourist centers in Nigeria.

This study might be valuable for tourism-related stakeholders, researchers and policy makers as the result finds indicate strong effect of travel restrictions, border closure on competitiveness of urban tourism. Equally, the study provides new insight as the findings shows a significant moderating role of strategic dexterity between travel restrictions, border closure and competitiveness.

This study might be valuable for tourism-related stakeholders, researchers and policy makers as the result finds indicate strong effect of travel restrictions, border closure on competitiveness of urban tourism. The study provides new insight as the findings shows a significant moderating role of strategic dexterity between travel restrictions, border closure and competitiveness.

This study is among the few that analyses the effect of measures to combat COVID-19 pandemic on competitiveness in the urban tourism: strategic dexterity as the moderating variables. This study also contributes methodologically through the introduction of PLS-SEM approach.

This study aims to design appropriate micro-fintech models for Islamic microfinance institutions (IMFIs), especially Baitul Maal wat Tamwil (BMT) in Indonesia, thus enabling BMT to combine Islamic social and commercial microfinance optimally.

This study uses the analytic network process and Delphi methods, with three groups of experts as the respondents, namely, academician-regulators, BMT practitioners and Fintech practitioners.

The first results show that the micro-fintech tools needed by IMFI/BMT are digital banking, payment, peer-to-peer (P2P) financing, P2P social and e-commerce. These could be developed by a BMT alone or with an APEX or Association, which could also collaborate with an existing fintech company that specialises in micro-fintech, applying the offline to online approach. This means that commercial funding, as well as social fundraising of zakat and waqf, would be conducted online, whereas commercial financing for micro and small enterprise customers and the disbursement of zakat and waqf would be conducted offline. The second results show that the limited open ecosystem and hybrid ecosystem are the most appropriate micro-fintech ecosystems for IMFIs/BMT, with various alternative models. In addition, the private closed ecosystem preferred by BMT would be feasible if all criteria show improvement in the future.

This study is qualitative in nature. The methods used have limitations, meaning the models could be improved by incorporating other methods. Moreover, the case and respondents are all Indonesian, which means that the results may only be applicable to BMTs in Indonesia.

A BMT and/or BMT association could immediately apply micro-fintech with a limited open ecosystem, while in the future, they could apply micro-fintech with a private closed ecosystem.

The micro-fintech model could be used to optimise the collections of zakat, infaq and waqf, meaning BMT could provide more social programmes for those in need.

The growth of fintech in Islamic microfinance has occurred only recently, while only a limited number of studies have been conducted; therefore, no study exists on the development of a micro-fintech model appropriate for IMFIs, especially BMT.

The purpose of this paper is to look at the asymmetric effect of oil production on environmental degradation in OPEC member countries from 1970–2019.

The authors build a nonlinear panel ARDL–PMG model using the Shin et al. (2014) nonlinear autoregressive distributed lag (ARDL) approach in panel form to assess both the short- and long-run impact of positive and negative oil production movements on CO₂ emissions.

The result demonstrates that the variables are cointegrated. According to the linear long run coefficients, oil production, FDI inflows and economic growth both have a positive and significant relationship with CO₂ emissions, implying that they deteriorate environmental quality in OPEC countries, while renewable energy has a negative relationship with CO₂, implying that increasing renewable energy improves environmental quality. The asymmetric findings prove that positive and negative shocks of oil production exert a positive effect on carbon emissions in short run and long run.

To begin with, the empirical assessments do not include all OPEC member nations; researchers are advised to resolve this constraint by looking at the economies of other OPEC members. Albeit the lack of data for other energy sources may serve as another constraint of this research, future research is expected to broaden the current framework via other energy sources such as nuclear, electricity, biomass, solar as well as wind.

The research adds to the body of knowledge as many of the prevailing studies in the literature failed to look at the asymmetric effect of oil production on the quality of environment. This is another gap in the literature that the current study is set out to fill. This study adds oil production as an explanatory variable and helps to extend the existing literature for OPEC countries, which could propose a solution to deal with ensuing environmental issues.

The aim is to examine the long run and short run linear and non-linear impact of foreign direct investment (FDI) inflows on poverty in Nigeria from 1980 to 2019.

The Augmented Dickey Fuller, Phillips Perron and Kwiatkowski-Phillips-Schmidt-Shin unit root tests and bounds test were used to tests the series stationarity and co-integration, respectively. Autoregressive Distributive Lag (ARDL) and non-linear and linear autoregressive Distributive Lag (NARDL) estimators are employed to examine the long run and short run impact of the coefficients of the variables and diagnostic check.

The study finds that the variables are integrated at a level I(0) and the first difference I(I) and co-integrated. The ARDL estimator indicates that FDI significantly reduces poverty in the long and short run. The findings under NARDL shows FDI positive shock and FDI negative shock reduces poverty substantially in the long-short run, respectively. The error correction term is negative and significant.

This study is limited to a single country (time series) and less informative compared with the panel data study with much informative and free from hetero-scedasticity. Future studies should consider panel data using a similar or dissimilar approach.

FDI inflows stimulate growth, thereby creating job openings, transfer of modern technology and reduce poverty and demonstrate that, if the finding integrated into policy actions, the government would attract FDI inflows for the real sector of the economy.

FDI inflows lead to environmental degradation if inferior technology is use in the host economy, especially the weak environmental regulations in Nigeria.

The authors find no study that applied both ARDL and NARDL estimator, selection of variables measurement and time frame for the study in the context of Nigeria.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2020-0530.

This study proposes a self-regulatory framework to enhance safety performance at the construction stage among building developers.

Extant literature identified 137 potential factors that influence the construction safety performances of building developers. Focus group discussions and interviews were conducted with 11 panels of experts and professionals. The Relative Importance Index (RII) was used to analyse the response feedback described in a similar paper. In this study, the survey tool used was set up with 40 variables grouped into eight latent variables in the framework, which were agreed and certified as “extremely important” by the panel. Based on random sampling, data were collected from 229 valid respondents. Structural equation modelling (SEM) technique using Smart PLS software was then used to analyse the respondent's feedback.

The results show that safety administration and processes, effective communication of safety behaviour, significantly influenced safety performance on a construction site with β values of 0.330 and 0.431 along with t values of 3.005 and 2.547 at p < 0.1, respectively. These factors, among others, provide a distinct approach to understanding and improving on-site construction safety. The study findings will potentially benefit building professionals and other stakeholders by improving awareness of safety practices.

The study may not have covered all possible factors that influence the construction safety performance of building developers. Also, the generalizability and transferability of the research outcome to the construction industry wide use is also limited when reference is made to the characteristics of the research respondents and/or participants. In addition, validation of the framework by five professionals is rather small.

Theoretically, the framework through the identified factors provide a distinct approach to understanding and improving on-site construction safety through voluntary adherence to self-regulatory standard where there are no enforceable laws and regulations to promote safety. The study findings will potentially benefit building professionals and other stakeholders by improving awareness of the health and safety practices of the construction industry.

Many research efforts have developed frameworks and models for construction safety. However, the particularity of these frameworks to countries other than Nigeria requires similar research to be conducted to enhance the safety performance of building developers.

This paper examines the relationship between university resources and student complaint management in Malaysian higher education institutions (HEIs). The paper is premised on organisational justice theory (OJT), which conceptualizes complaint handling, satisfaction and fairness among stakeholders in the educational domain.

This paper adopts a quantitative method using a survey research design. An online survey is administered to 381 students in three selected HEIs in Malaysia. Data are analysed and tested using the SmartPLS 3.0 algorithm to evaluate measurement and structural models.

Students’ experience in the use of online and offline university resources varies across different levels of education. The findings indicate that offline and online resources contribute substantially to students’ complaints. This study establishes the significance of an effective complaint-handling mechanism for continuous feedback and improvement in HEIs.

Within the context of policy in HEIs, the originality of this paper lies in its focus on the relationship between resources and student complaints based on the diverse complaint-handling mechanisms in Malaysian HEIs.

The purpose of this paper is to examining and analyzing the predictors of criminal recidivism among the ex-prisoners in metropolitan Kano-Nigeria using social ostracism as a predictor. However, the study utilizes two main dimensions of social ostracism; being ignored and being excluded in analyzing criminal recidivism.

This study is quantitative in nature. Data were collected using survey method. Purposive sampling method was used and the population of the study were the ex-prisoners who are released after their prison terms. A total of 256 sample size was utilized and data were analyzed using Partial Lease Squares – Structural Equation Modeling.

The findings revealed that, there is significant positive relationship between ignoring and exclusion of ex-prisoners in relation to criminal recidivism ( < 0.001***). The model used in the study shows that being ignored is having small effects, whereas being excluded is having medium effects (f2 0.121, 0.203), with predictive relevance (Q2 0.1884).

Going by the study findings it was concluded that social ostracism of ex-prisoners in metropolitan Kano is having positive effects toward criminal recidivism. It is recommended that policy should be made to reduce the exclusion of ex-prisoners so as to reduce their chances of becoming criminal recidivists.

Though many predictors were used in analyzing recidivism, this study used social ostracism which is not previously used as a sole predictor of criminal recidivism.

Introduction: India has the 15th-largest domestic natural gas consumption (NGC), critical to sustainable economic growth. Promoting natural gas will have a crucial impact on production in all industries.

Purpose: This research gives an overview of NGC and gross domestic product (GDP) in India from 1990 to 2021 and investigates the association and nature of causality between NGC and GDP in India.

Methodology: For the years 1990 through 2021, we used annual statistics from the NGC and the GDP of India. Both research variables data have been taken from the World Bank Indicator.

Findings: There is no causality and correlation between natural gas and GDP in India.

Practical Implications: Based on the research, the Government of India can create different policies for substituting natural gas for other energy sources to have a healthier impact on a sustainable environment in the short and long term. In the future, researchers can work on environmental degradation and GDP.

The objective of this paper is to extend the extant literature on the relationship between psychological safety (PS) and individual performance (IP) through the mediating influence of intrapreneurial behavior (IB). Therefore, the social exchange theory (SET) and psychological entrepreneurship theory (PET) are integrated to achieve this objective.

Survey method of data collection was engaged through self-administered questionnaire. The sample of 355 medium enterprises (MEs) production/operations managers was analyzed by means of partial least square (PLS) structural equation modeling (SEM).

The result shows that PS has a significant direct relationship with both IP and IB; likewise, IB has a significant positive influence on IP. The mediating influence of IB on the PS–IP relationship was also confirmed.

The result suggests that PS–IP relationship will be better explained when IB is fortified among managers. Therefore, MEs could stimulate production/operations manager performance by encouraging IB through PS–IP relationship.

To the authors’ knowledge, this paper is the first to study the influence of individual-level PS on the complete individual-level IB and the mediating influence of individual IB on PS–IP relationship. Moreover, the intraprenerurship literature is relatively lacking expressly among developing countries and precisely Nigeria. As such, the attention of researchers is important on the role of individual-level IB in MEs against the assumption that entrepreneurial events are limited to firm-level concerns.