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Pakistan has long been regarded as one of the most vulnerable countries to climate change. The Food and Agriculture Organisation of the United Nations promotes conservational agricultural practices (CAP); however, they received little attention. Therefore, this study aims to explore the antecedents of farmers’ intention to adopt CAP with empirical evidence to enhance CAP in developing countries.

Using a random sampling strategy, the data has been gathered from 483 Pakistani’s farmers of the most agriculture-producing province, Punjab and Sindh via a questionnaire survey. Regression-analysis (Haye’s process approach) is implied for testing the hypothesis.

The findings indicated that a farmer’s environmental orientation positively affects the farmer’s intention to adopt CAP. Furthermore, the farmer’s attitude towards agricultural production and the farmer’s belief in climate change also positively moderate the relationship.

Based on findings, this research suggests a need for efforts by the government to encourage farmers to engage themselves in technical support for the adoption of CAP. The educational campaigns and training sessions need to be arranged by the government for this purpose. This may help the farmers to adopt strategies relating to climate change concerning their education, credit access and extension services.

This paper explores the antecedents of farmers' intention for CAP in Pakistan. The empirical evidence previously missing in the body of knowledge will support the governments, researchers and FAO to establish a mechanism for enhancing CAP in developing countries like Pakistan. Further research is recommended to explore the outcomes of farmers' intentions to adopt more CAP to gauge the effectiveness of adaptation strategies

Miniplate shapes determine the fixation stability to promote best healing and osseointegration process of mandibular fracture. In clinical treatment, the common method used two straight-type miniplate or I-shape miniplate; sometimes this method is not stable enough or limited by the fracture geometry and caused high risk of failure due to screw loosening. This paper aims to investigate a new type of miniplate called V-shape miniplate design as an alternative to the standard straight plate based on total displacement, von Mises stress, stress transfer parameter (STP) and strain energy density transfer parameters (SEDPTs) for two types of bite force condition, which is cutting and chewing condition.

The 3D fixation models were constructed and the finite element (FE) simulation is based on the two-bite force load that ranges from 50 to 700 N based on cutting and chewing bite force condition using ANSYS Workbench 19.2.

In result comparison, the maximum loading of the V-shape miniplate can reduce deformation by 5.9%, reduce stress by 0.58% reduce strain by 8.1% in cutting condition while reducing deformation by 6.43%, reduce stress by 15.25%, reduce strain by 10.1% in chewing condition. To assess the stress transfer behavior of miniplates fixations to the mandibular bone, the STP and SEDPT were evaluated at the normal cortex screw and the locking head screw. In the simulation, the locking head screw is vertical to the bone structure while the cortex screw is 95 degrees to the bone structure, as a result, the STP value for locking head screw is 1.0073 while in cortex screw is 0.7408.

Meanwhile, the SEDPT value for locking head screw is 2.7574 and 1.8412 for cortex screw.

Clinically, V-shape miniplate has shown factual data that can be used for prototyping. STP and SEDTP values provide evidence of how fixation stability is better than I-shape miniplate.

In conclusion, the newly designed V-shape miniplate has overall better stability than the standard I-shape miniplate, and the locking head screw has the STP value closer to 1 than the standard cortex screw; it means the locking screw is better in reducing the stress shielding.

As women perform most household chores and other nonproductive work, gender-based division of labor in the home has now been identified as a barrier to gender equality. The objective of this study is to assess the effects of gender distribution of housework especially for women and investigate the factors influencing the total hours spent on house chores in Bangladesh.

This study adopted a quantitative approach based on survey data obtained from 200 households in the Madaripur and Gopalganj districts of Bangladesh. To analyze the obtained data, the partial least squares (PLS) regression was used.

According to this study, demographic and socioeconomic factors of women, and gender are influencing the total hours spent in housework. Women were observed to have a positive relationship with empowerment but a negative relationship with social perception. Social perception was further observed to have a significant impact on the total number of hours expended by women on house chores.

The study suggests that the importance of sharing the burden of household work be taught in schools and community-based awareness programs so that it becomes ingrained as a social and cultural practice. Furthermore, the government should conduct a proper assessment that recognizes unpaid housework by women as an important factor in inclusive sustainable development.

Issues of inequality in the division of labor in household activities are barely recognized in Bangladesh. Therefore, this study collected primary data to assess the effects of gender on the distribution of housework. The findings of the study will help policymakers and academicians to better understand the gender-based division of household labor.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0195.

In light of the rapid evolution of information and communication technology (ICT), every society is faced with many issues such as social exclusion, inequality and the digital divide. Hence, there is need to solve these complex challenges without comprising any development objective. A practical solution in this regard includes establishment of a sustainable model of community development. Therefore, this paper aims to identify the role of education in promoting the awareness on the use of ICT-based infrastructure among the general public to enhance their socioeconomic status. In addition, this study sets out to establish the nexus between socioeconomic status, ICT programme as well as the awareness of Kemaman Smart Community (KSC) development project.

This paper adopted a quantitative approach based on data collected through a survey on information literacy in KSC. The logit behavioural model and structural equation model were adopted as a quantitative technique to verify the objective of the study.

The result of the logit behavioural model showed that education, income and age have a positive impact on the KSC programme awareness. The SEM models revealed that income level and education (especially at the tertiary level) significantly enhance the awareness of KSC project. On the contrary, poverty remains regressive towards the community awareness of KSC programmess

Information literacy and knowledge-based programme promote a more inclusive development approach. Moreover, education, socioeconomic status, information literacy and knowledge-based programme are essential to develop a smart community towards achieving a high-income nation status. Future replication of smart community project in other parts of Malaysia may need to consider these factors for a comprehensive community development strategy.

KSC is the first smart city initiative by the government of Malaysia. Besides, primary data were used in this study. The findings of the study will provide academics and policymakers a better understanding of the smart city initiative.

The novel coronavirus (COVID-19) remains a global public health emergency as declared by the World Health Organization (WHO). The COVID-19 impacted educational institutions around the world, and they were shut down to minimize the fatalities and spread of the infection. Educational institutions around the world, including Bangladesh, started to conduct online classes as an alternative to physical classes. Therefore, this study assesses the effectiveness of online classes in terms of information and communications technology (ICT) readiness, online class assessment, online class participation, and convenience and flexibility for the educational institutions of Bangladesh.

To fulfill the objective of the study, data were collected from 817 teachers and students. Additionally, the partial least squares (PLS) regression method was adopted as a quantitative technique.

The study shows that online class participation, online class assessment, and convenience and flexibility have positive relationships with ICT readiness and the effectiveness of online classes. At the same time, the challenges of online classes have negative relationships with ICT readiness and the effectiveness of online classes.

The study suggests that the government should ensure stable internet connectivity access across the country so that both students and teachers can participate in online classes effectively. Moreover, educational institutional authorities should extend support to the institutions for developing proper ICT infrastructure.

ICT infrastructure readiness is the backbone for effective online education; however, before the COVID-19 pandemic, online education was almost non-existent at the educational institutional level in Bangladesh. The country started developing the ICT infrastructure only when online classes were scheduled to start, and the development is still ongoing. Hence, this study used ICT readiness as a mediator factor. Moreover, primary data are used in this study. The findings of the study will help academicians and policymakers to better understand the effectiveness of online classes.

Considering the existing evidence on the impact of female board members on the default risks of an organization, the purpose of this study is to investigate the effect of board gender diversity, alongside institutional characteristics and macroeconomic factors, on the financing costs of microfinance institutions (MFIs).

This study collected unbalanced panel data of 1,190 unique MFIs between 2010 and 2018 from the World Bank. The collected data, which covers a total of 95 developing and emerging countries, was thereafter analyzed using the pooled ordinary least squares and random effects model. To overcome endogeneity and omitted variable bias (e.g. time-invariant variables), the authors have also used the generalized method of moments and fixed effects model, respectively. Different proxies of board gender diversity and sub-sample analysis by regions were further undertaken to examine the robustness of the obtained results.

The findings of this study revealed that board gender diversity has a statistically significant negative effect on the financing costs of MFIs. This suggests that a gender-diverse board can generate cheaper funding for MFIs by minimizing their default risks through effective monitoring and strategic management. Furthermore, the negative impact of board gender diversity on financing costs appears to be more pronounced when there is a minimum of two female board members in the boardroom of MFIs. The results of this study remain consistent and valid regardless of alternate model specifications (e.g. sub-sample analysis, use of alternative proxies of board gender diversity and application of different estimators) and endogeneity issues. Ultimately, the findings in this study reiterate the importance of promoting and implementing gender diversity in the boardroom to minimize the financing costs of MFIs.

This study investigated the relationship between board gender diversity and financing costs of MFIs by using relatively recent and global data. The minimum number of female board members required to significantly reduce the financing costs of MFIs was also identified.

Although the use of project teams is on the rise, there is a limited understanding of how project managers can ensure project team success. Research to date is relatively broad and does not pinpoint how and why leadership influences success in a project team context. Along these lines, we draw from social learning theory to illustrate that ethical leadership influences project success through leader trust and knowledge sharing.

We collected data from 175 project team members from the information technology and software industry to evaluate our hypotheses. The results were analyzed using structural equation modeling.

Our findings support our hypotheses, illustrating that ethical leadership is related to leader trust and knowledge sharing, and that leader trust and knowledge sharing mediate the relationship between ethical leadership and project success.

Our work illustrates that the behaviors inherent in ethical leadership may be particularly well-suited for these project team challenges. Ethical leaders help team members understand that project success is possible when team members are transparent with one another, discussing their goals and challenges, and then working together to ensure their actions are coordinated in a way that increases the success of the overall project.

For those in industries or organizations where project teams are commonly used, our study may help to attract, select, and retain project managers that exhibit ethical leadership tendencies. Project managers are likely to be attracted to settings that align with their leadership style. Thus, organizations could focus on developing a culture that focuses on process over results.

We sought to align with the contingency approach to leadership, which suggests that the ideal leadership style depends on the followers, and the context in which the leader and followers interact. Specifically, we investigate ethical leadership as an ideal approach for project managers influencing members of their project teams. Our study demonstrates how ethical leadership is an ideal, context-specific approach that project managers can apply to increase the chances of project success.

Khan Jahan Ali (KJA) Bridge was constructed to promote industrial and commercial activity and improve economic and employment activity for local people. This study assessed the post-socioeconomic and environmental impacts of KJA Bridge on the inhabitants living adjacent to 2 Km from the bridge. As there is a slum adjacent to the bridge, the bridge has impacted much on the improvement of the social economic condition and lifestyle of the slum people.

The study approached a questionnaire-based field survey data collection through interviewing the people in the surrounding areas. To assess the environmental impacts, land cover change (LCC), carbon emissions and land surface temperature (LST) data were derived from Landsat images and processed in geospatial environment.

The study suggests that after bridge construction, 84% people have new jobs and about 87% people's income level has been increased. As a tourist spot, the bridge served employment opportunities for the 12% of the inhabitants. About 83% house structures have been improved, where the percentages of pucca and semi-pucca houses increased by 11% and 23%, respectively. The frequency of school-going children and literacy rate also increased. Despite all the socioeconomic development, 7.48% agricultural, 9.75% vegetation, 1.74% waterbodies were declined. Net carbon emissions increased to 13,432.39 tons from 3,323.46 tons; average LST increased from 25.750 to 32.550°C after the bridge construction.

This study focused on descriptive statistical analysis and portrayed the impact of the bridge on social, economic and environment from a micro point of view.

This paper aims to analyze the trends and contents of flipped classroom research based on 48 selected empirical articles published during 2017 and 2018.

The inductive content analysis was used as a methodology to investigate the content of flipped classroom research, including subject-specific areas, methodological approaches, technology tools or platforms, the most frequently used trending searches, countries of research, positive impacts and challenges.

The results of the analysis were interpreted using descriptive analysis, percentages and frequencies. This analysis found that various subjects were implemented in flipped classroom learning, and some technological tools were also used to enhance teaching and learning. Analysis of the impact revealed that the flipped classroom yielded positive learning outcomes on students’ learning activities such as learning motivation and engagement, social interaction and self-directed learning skills. Meanwhile, the most significant challenges encountered by the instructor were the lack of students’ motivation to watch pre-recorded video lectures or to study the contents outside of the class time.

The findings suggest that the flipped classroom concept might be effective in promoting twenty-first-century learning skills and developing the technology and information literacy competency based on national standards.

The purpose of this paper is to study the socio-economic condition of indigenous households involved in the production of palm oil and natural rubber in Peninsular Malaysia.

Discriminant analysis is used in this study.

This study finds that 49.70 percent of natural rubber plantation owners and 37.3 percent of the palm oil plantation owners live under the national poverty line. Discriminant analysis shows that natural rubber plantation size has a significant difference between income below the poverty line and above the poverty line. But palm oil plantation size is not significantly different between income below and above the poverty line, mainly because small-scale palm oil farms receive help from the government and other agencies. This study also finds that the majority of indigenous people do not have ownership rights to their land.

This study suggests that small-scale plantation holders should be provided with training to upgrade their skills to increase productivity. Furthermore, finding an appropriate land ownership model helps to understand the fundamental issue of poverty among the small-scale plantation holder of indigenous people in Peninsular Malaysia.

Primary data are used in this study. The results show different scenarios than the existing studies.