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The environment and human health can be jeopardized if E-waste is not properly managed. Global E-waste production continued to rise as a result of rapid technological advancement and increased purchasing power among the global population. One of the possible sustainable methods for managing E-waste is to recycle E-waste. This study aims to find out which demographic factor has the most influence on local residents' understanding of E-waste recycling in Selangor. Selangor is one of Peninsular Malaysia's wealthiest states, with a wide range of ethnic and racial backgrounds among its residents. In 2019, 779 people took part in a survey to learn more about local residents' understanding of E-waste recycling and the social and demographic factors influencing that understanding. Three characteristics of a person's background stand out: their educational attainment, the nature of their job, and the amount of money they make. The p-value for each of these variables was less than.05. Respondents with the following social backgrounds have the best understanding of E-waste recycling: higher education, employment in the private sector, and a monthly income between RM1,501 and RM3,000. The government and other stakeholders, such as non-profits and the private sector, should take more comprehensive and coordinated actions to ensure that the public is informed about E-waste recycling.

The aim of the study is to assess the effect of employer branding dimension of training and development on the retention of employees through the mediation of organizational identification (OI).

The study is based on data collected from the Indian IT employees. Regression and PROCESS Macro were used to test the hypotheses.

The regression results revealed that employer branding attribute of training and development influence employee retention (ER). Second, training and development influences OI and ER. Third, the relationship between training and development and ER is mediated by OI.

The research provides a new direction, strategizing a brand around development value is effective to enhance OI and their intent to stay. The major limitation is that the data is collected from a single source that may result in the issue of common method biasness.

The paper focuses on measuring the effects of training and development on the retention of employees through the mediation of OI, for which studies are very limited.

Creativity has been positioned as a critical workplace competence, especially in societies in which conditions are rapidly changing. The fact that traditional educational processes oppress creativity is theoretically important. The purpose of the present paper is to theoretically map the process of teacher-directed learning and how the process oppresses creativity.

A theoretical paper in which a conclusion is drawn that there is a primary and secondary process of creativity oppression with traditional teacher-directed learning.

It is proposed in the present paper that the primary process of creativity oppression is that the pathway to a “high achieving pass” is for learners to make knowledge constructions that mirror that of the educator (rewarding non-creative learning outcomes). A secondary, silent and powerful mechanism of creativity oppression is where the learner does not “buy in” with the educator to accept their knowledge inculcation. The student here may indeed produce a creative learning outcome from the process, but they are likely to be judged for that work as a “low achieving pass” or a fail.

The paper seeks to identify the mechanism in which creativity oppression may accumulate over time until learner creativity is quashed.

This study examines the adoption drivers of scale-appropriate mechanization in Nepal's maize-based farming systems. The authors also assess the contribution of scale-appropriate mechanization to the United Nations Sustainable Development Goals (SDGs) of zero hunger (SDG2) and no poverty (SDG1).

Propensity score matching and doubly robust inverse probability-weighted regression adjusted methods were applied to estimate the effects of mini-tiller adoption. These methods control the biases that arise from observed heterogeneities between mini-tillers users and nonusers.

The study findings show that farm size, labor shortages, draft animal scarcity, market proximity, household assets and household heads' educational level influence the adoption of mechanization in Nepal. Mechanized farms exhibited enhanced maize productivity, profits and household food self-sufficiency. Reduced depth and severity of poverty were also observed. Nevertheless, these effects were not uniform; very small farms (≤0.41 ha) facing acute labor shortages benefited the most.

The study results suggest that policymakers in developing nations like Nepal may wish to expand their emphasis on scale-appropriate mechanization to improve farm productivity and household food security, reduce poverty and contribute to the SDGs.

This first-of-its-kind study establishes the causal effects between scale-appropriate farm mechanization and SDG1 (no poverty) and SDG2 (zero hunger) in a developing nation.

This study aims to focus on building a conceptual closed-loop vaccine supply chain (CLVSC) to decrease vaccine wastage and counterfeit/fake vaccines.

Through a focused literature review, the framework for the CLVSC is described, and the system dynamics (SD) research methodology is used to build a causal loop diagram (CLD) of the proposed model.

In the battle against COVID-19, waste management systems have become overwhelmed, which has created negative environmental and extremely hazardous societal impacts. A key contributing factor is unused vaccine doses, shown as a source for counterfeit/fake vaccines. The findings identify a CLVSC design and transshipment operations to decrease vaccine wastage and the potential for vaccine theft.

This study contributes to establishing a pandemic-specific VSC structure. The proposed model informs the current COVID-19 pandemic as well as potential future pandemics.

A large part of the negative impact of counterfeit/fake vaccines is on human well-being, and this can be avoided with proper CLVSC.

This study develops a novel overarching SD CLD by integrating the epidemic model of disease transmission, VSC and closed-loop structure. This study enhances the policymakers’ understanding of the importance of vaccine waste collection, proper handling and threats to the public, which are born through illicit activities that rely on stolen vaccine doses.

The purpose of the study is to investigate the challenges in improving women's energy access, rights and equitable sustainable development from a Ghanaian perspective.

The research utilizes a mixed method. A qualitative in-depth exploratory design was chosen to understand how gender is mainstreamed within Ghana's energy sector. This included semi-structured interviews with key managers, experience policy experts and focus groups. The semi-structured interviews were analyzed using thematic content analysis (TCA).

The study reveals that the National Energy Policy of 2010, as the main energy policy regulating the energy sector in Ghana, does make provision for gender equality, safety especially women, in line with Ghana's sustainable development goals. The energy policy aims to empower women and create gender parity in the sector. Nevertheless, the study also found major challenges to gender mainstreaming in the energy sector, including poor analysis in formulating energy policies, inadequate financial resources, and poor monitoring and evaluation.

The paper exposes gender equity challenges associated with the energy sector in Ghana. It also offers a new policy angle which connects gender mainstreaming to sustainable development. The research describes how women are included in developing energy policies and in addressing gender challenges in the energy sector.

The main aim of this paper is to examine the claim that economic value added (EVA) advocates its superiority over the traditional accounting-based financial performance measures, i.e. profit after tax (PAT), earnings per share (EPS), return on assets (ROA), return on equity (ROE) and return on investment (ROI) in the Indian manufacturing sector and at the same time, give empirical facts. It also tests and examines the information content of various performance measures and their relationship with stock returns.

The paper uses the sample of 534 Indian manufacturing companies from the Bombay Stock Exchange (BSE) during the period 2000–2018. Multiple regression models are applied to examine the information content of EVA and traditional performance measures in explaining shareholders’ returns.

Relative information content tests revealed that traditional accounting-based measures such as EPS, ROE and ROA performed better than EVA in explaining the returns of Indian manufacturing companies. Incremental information content of EVA adds little contribution to information content above traditional performance measures. The claim of superiority of EVA over accounting-based measures in association with shareholder returns is proved invalid in Indian manufacturing companies.

This study concludes that EVA has no superiority over traditional accounting-based financial performance measures in explaining stock returns of Indian manufacturing companies. To achieve heftiness in outcomes, panel data are tested by using Breusch–Pagan–Godfrey (BPG) test for heteroskedasticity, Hausman’s test for fixed and random effect, variance inflation factor (VIF) test for multicollinearity and Durbin–Watson test for autocorrelation.