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The purpose of this paper is to assess the waste characteristics and separation efficiency of source separation of household waste in low- and middle-income communities in Kumasi Metropolis, Ghana.

A sample of 60 households participated in the household survey, education on source separation and pilot source separation exercise. The solid waste was sorted into six fractions and three recycling categories (biodegradable; paper and plastic; residue).

The mean generation rate of solid waste was 0.52±0.26 kg/per capita/day for the low-income community and 0.65±0.27 kg/per capita/day for the middle-income community. The waste fractions in the communities (low, middle income) were biodegradable organics (59.15, 65.68 per cent), plastics (11.01, 10.68 per cent), papers (3.15, 4.51 per cent), glass (0.89, 2.57 per cent), metals (0.96, 4.63 per cent) and miscellaneous (24.84, 11.93 per cent), respectively. The separation efficiency for organic category was 70 per cent, inorganic and residue was over 69 per cent and the paper and plastics was over 60 per cent.

The study suggests that the success of source separation programme hinges on education and economic incentives. It was noted that the sample size could be increased to enhance the accuracy of the data for prediction purpose.

The findings showed there is potential for recycling through source separation programme in low-and middle-income communities. Public education and economic incentives are necessary for successful source separation programme.

The paper provides insight into source separation to contribute to better understanding of how city authorities in developing countries could take advantage of economic incentives to scale-up recycling.

The impact of FinTech in sub-Saharan Africa has primarily been limited to financial inclusion. Contrarily, this study aims to deviate from this norm to estimate how FinTech affects carbon emissions in the subregion. This provides policy recommendations for FinTech regulators, service providers and practitioners to consider optimal products and services that reduce carbon emissions.

A balanced panel data set from 2009 to 2020 is used and estimated with the fully modified ordinary least squares estimator after checking for cross-sectional dependence, unit root, stationarity and cointegration.

Results from the estimation suggest a negatively significant relationship between financial technology and carbon emissions in these countries. However, domestic credit to the private sector revealed a statistically insignificant relationship with carbon emissions for the same period. Further, foreign direct investment reduces carbon emissions but gross domestic product and trade openness increase carbon emissions in these countries.

The impact of FinTech in sub-Saharan Africa has primarily been limited to financial inclusion. Contrarily, this study deviates from this norm and estimates how FinTech affects carbon emissions in the subregion.

The aim of this paper is to examine the motives behind the separation of household waste (or the lack of such separation) on the basis of the theory of interpersonal behaviour. The aim of this paper is to broaden and deepen the understanding of key determinants of household waste separation (or the lack of such separation). This study proposes a conceptual model based on the theory of interpersonal behaviour in combination with the focus theory of normative conduct.

A quantitative method was applied to investigate the views of 350 heads of households in the Johannesburg metropolitan area through an administered questionnaire. Structural equation modelling was employed to test the hypothesised structural relationships in the proposed model.

The results indicate that household waste separation intention is influenced by cognition of the consequences and by injunctive and personal normative pressures. Separation intention and past habits were found to have a direct influence on actual separation behaviour.

While the theory of planned behaviour is ubiquitous in the recycling literature, this study presents a different, broader framework for a better understanding of the drivers of household waste separation. This is achieved by applying the theory of interpersonal behaviour in combination with the focus theory of normative conduct. The findings provide insights that could help municipalities in emerging markets to promote household waste separation for better management of the environment.

The study aims to examine social-psychological beliefs and personality traits and their linkage with driver predispositions and road safety behaviour grounded on notions derived from an integration of the health belief model (HBM) and the theory of planned behaviour (TPB) in social marketing.

The study used a cross-sectional survey to gather data from 587 licenced drivers in 3 major urban settlements in Ghana. The theoretical model was tested by using covariance-based structural equation modelling.

The study finds that the effects of perceived benefits, perceived behavioural control, social norms and cues to action on road safety behaviour are direct; the effects of perceived susceptibility, severity and barriers on road safety behaviour are fully mediated by driver attitude towards safe driving. Some of these effects were moderated by conscientiousness and neuroticism.

The findings offer empirical grounds for the development of evidence-based social marketing interventions that leverage efficacy-centred messages, social influence through community-based approaches, informational cues with consistent education and are tailored to the personality traits of drivers with the aim of inducing wilful on-road safety behaviour towards achieving sustainable road safety culture.

This study extends the integrative applicability of the HBM and TPB in understanding road safety behaviour and establishes attitude as a vital facilitator, and personality traits as moderators of the belief-preventive behaviour linkage within a developing country context. It contributes towards the use of theory-based outcomes to enhance the efficacy of social marketing road safety campaigns.

The purpose of this paper is to identify the critical factors influencing the cloud computing adoption (CCA) in the manufacturing micro, small and medium enterprises (MSMEs) by employing a decision-making trial and evaluation laboratory (DEMATEL) methodology.

Through literature review and expert opinions, 30 significant factors were identified, and then a DEMATEL approach was applied for exploring the cause–effect relationship between the factors.

The results of study highlighted that five factors, namely, “hardware scalability and standardisation”, “cost (subscription fees, maintenance cost and implementation cost (CS1)”, “innovation”, “installation and up gradation (CS28)”, and “quality of service” were the most significant factors influencing the CCA in the case sector.

The DEMATEL model was developed by considering expert inputs, and these inputs could be biased which can influence the reliability of the model. This study guides the organisational managers, cloud service providers and governmental organisations in formulating the new policies/strategies or modifying the existing ones for the effective CCA in the case sector.

For the first time. interdependency between the critical factors influencing CCA was discussed by employing the DEMATEL approach in the Indian manufacturing MSMEs context.

Cloud manufacturing (CMfg) has emerged as a service-oriented paradigm that enables modularization and on-demand servitization of resources in the context of manufacturing. The plethora of studies on CMfg has led the authors to investigate its implementation, as most of the literature is theoretical or simulation-based. Therefore, the purpose of this study is to investigate the reality of the CMfg concept in terms of adoption.

A tri-theoretic model is developed using the technology adoption model, diffusion of innovation and technology-organization-environment for hypotheses development. Data are collected from 218 US manufacturers. The data analysis approaches are partial least squares structural equation modeling, while data visualization is done to further analysis.

The study shows that most of the US manufacturers are reluctant to adopt the CMfg. Further, the statistical findings imply that competitive pressure, top management support, compatibility and trialability play a vital role in its adoption. The success of the CMfg adoption relies on the implementation of the pre-installation stage and the top management decisions.

For practitioners, the study provides insight on how to supervise the CMfg platform implementation to improve the adoption process. For researchers and academicians, the significance of trialability provides a wide range of research topics on developing the CMfg trials and models.

This paper highlights the concerns of manufacturers about the pros and cons of the CMfg adoption, as this topic has not been given due attention in the literature. This will help to align future research directions according to market concerns and mitigating the factors that are hindering its adoption.

Anchored on the natural resource-based view and stakeholder theories, this study aims to investigate the mediating roles of sustainable supply chain management and green radical product innovation (GRPI) in the link between sustainable entrepreneurial orientation (SEO) and sustainability performance.

The comprehensive research model developed in this study is empirically tested by using data garnered from 248 managers of Ghanaian small and medium-sized enterprises. Partial least square structural equation modeling is applied as the methodological technique to test all the hypothesized relationships.

Results of the study indicate that SEO has a direct significant positive impact on environmental performance and social performance but not financial performance. However, through sustainable supply chain management and GRPI (both mediating variables), SEO tends to have significant impact on all sustainability performance dimensions (environmental, financial and social performance).

This study offers fresh empirical evidence by developing a unified research model that validates the specific mediation role of sustainable supply chain management between SEO and green radical product innovation, as well as the mediating roles of both sustainable supply chain management and GRPI between SEO and sustainability performance dimensions.

This study aims to examine the mediating role of trainer preparation in the effect employee trainer self-efficacy has on trainer performance.

Using a census, data was collected from internal employee trainers in two universities in Ghana. In testing the hypotheses, a structural equation modelling based on 10,000 bootstrap samples was used, and the BCa confidence intervals were used to establish the significance of the hypotheses.

This study revealed trainer preparation as a complementary partial mediator in the effect trainee engagement self-efficacy and instruction self-efficacy had on trainer performance. In addition, the importance–performance map analyses demonstrated that the factor with the most importance in the model was instruction self-efficacy, yet it was not the highest-performing factor.

This study highlights the mediating role played by preparation in the effect of trainer self-efficacy on trainer performance. In addition, it adds to the dearth of studies that focus on employee trainers while at the same time using data from the trainers themselves.

The purpose of this paper is to analyze zero valent iron nanoparticles (NZVIs) by a novel green method, taken from Thymus vulgaris (TV) plant extract, were synthesized and applied to degrade reactive black 5 (RB5) azo dye.

The optimum conditions for the highest removal of RB5 dye were determined. Characterization of NZVIs was done by scanning electron microscopy (SEM), transmission electron microscopy (TEM), Fourier-transform infrared spectroscopy (FTIR), transmission electron microscopy (TEM) and X-ray diffraction (XRD). The NZVIs were used for the removal of dye RB5, and the parameters affecting were discussed like pH, initial concentration, contact time and NZVIs dosage.

The characterization results of NZVIs by SEM, TEM, FTIR and XRD show that polyphenols, organic acids and proteins reduce not only the green synthesis of NZVIs but also the aggregation of nanoparticles. The maximum dye removal efficiency of 99.6 per cent occurred at pH 4, NZVIs dose of 600 mg/L, and contact time of 5 min. The adsorption of RB5 dye onto the NZVIs surface and scavenging of the azo bond (−N = N) by the strong reduction of NZVIs were the proposed mechanisms for dye removal. The application of NZVIs to treat wastewater containing reactive dye shows high degradation efficiency.

The findings may greatly benefit the application of the NZVIs taken from Thymus vulgaris (TV) in the fields of dye adsorption.

The present study is novel because it incorporated the morphological and structural properties of the synthesized NZVIs using a native plant of Iran and studied the capability of green-synthesized NZVIs to remove RB5 as a water contaminant.

The native plant presented here can be developed for reduced environmental pollution before discharge to accepted water.

The NZVIs is prepared via green-synthesized method, which is prepared with leaves of TV. There are two main innovations. One is that the novel NZVIs is prepared successfully by native plant via green-synthesized method. The other is that the optimized conditions were obtained for the removal of RB5 dye as a water contaminant. Furthermore, to the best of our knowledge, no study has ever investigated the removal of RB5 by NZVIs produced using a native plant in Iran.

This study aims to identify the level of security from existing work, analyze categories of security as a service (SECaaS) and classify them into a meaningful set of groups. Further, the report will advise commercial applications and advice of SECaaS as an extended context to help firms make decisions.

This paper compares the SECaaS categories in Cloud Security Alliance (CSA) with the security clauses in ISO/IEC 27002:2013 to give a comprehensive analysis of those SECaaS categories. Reviewed from a number of related literature, this paper analyzes and categorizes SECaaS into three major groups including protective, detective and reactive based on security control perspectives. This study has discussed the three groups and their interplay to identify the key characteristics and problems that they aim to address.

This paper also adds new evidence to support a better understanding of the current and future challenges and directions for SECaaS. Also, the study reveals both the positive and negative aspects of SECaaS along with business cases. It advises on various sizes and domains of organizations to consider SECaaS as one of their potential security approaches.

SECaaS has been demonstrated to be one of the increasingly popular ways to address security problems in Cloud computing. As a new concept, SECaaS could be treated as integrated security means and delivered as a service module in the Cloud. However, it is still in infancy and not very widely investigated. Recent studies suggest that SECaaS is an efficient solution for Cloud and real industries. However, shortcomings of SECaaS have not been well-studied and documented. Moreover, reviewing the existing research, researchers did not classify the SECaaS-related categories.