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Because of the significant differences in the features and requirements of specific products and the capabilities of various additive manufacturing (AM) solutions, selecting the most appropriate AM technology can be challenging. This study aims to propose a method to solve the complex process selection in 3D printing applications, especially by creating a new multicriteria decision-making tool that takes the direct certainty of each comparison to reflect the decision-maker’s desire effectively.

The methodology proposed includes five steps: defining the AM technology selection decision criteria and constraints, extracting available AM parameters from the database, evaluating the selected AM technology parameters based on the proposed decision-making methodology, improving the accuracy of the decision by adopting newly proposed weighting scheme and selecting optimal AM technologies by integrating information gathered from the whole decision-making process.

To demonstrate the feasibility and reliability of the proposed methodology, this case study describes a detailed industrial application in rapid investment casting that applies the weightings to a tailored AM technologies and materials database to determine the most suitable AM process. The results showed that the proposed methodology could solve complicated AM process selection problems at both the design and manufacturing stages.

This research proposes a unique multicriteria decision-making solution, which employs an exclusive weightings calculation algorithm that converts the decision-maker's subjective priority of the involved criteria into comparable values. The proposed framework can reduce decision-maker's comparison duty and potentially reduce errors in the pairwise comparisons used in other decision-making methodologies.

Sources highlight that insufficient skills of site supervisors considerably influence the progress of many construction projects in numerous countries. This study intends to identify the crucial supervisory competencies that influence the effectiveness of building project operations in the context of developing countries.

The crucial construction site supervisory competencies were qualitatively identified through a comprehensive literature survey and a series of expert interviews with the use of thematic analysis approaches. A questionnaire survey was then carried out among 154 building project firms to quantify the impacts of the competencies on the effectiveness of project tasks with the use of the relative importance index approach. Additionally, industry-consultative meetings were held using problem-focused communication strategies to scrutinise the necessary actions.

Overall, 22 cognitive elements and 24 skills/abilities of supervisors were determined as being critical according to their impact values, where the site supervisors cognitive domains in construction planning and construction materials were determined as the top-ranking competencies in the list, with their manual skills/abilities in labour management and labour performance evaluation. Accordingly, a group of key competency outcomes were produced for the considerations in developing new site supervisory training components. Relevant statistical analysis results and the industry consultative outcomes substantiated the validity and dependability of the overall results.

Although the study's focus was to site supervision procedures used in Sri Lankan building construction projects, the overall findings/outcomes might be put to the test in related situations in other emerging industries in other countries.

The study has constructed a base that shows how the significant site supervisory competencies influence the effectiveness of building construction operations, contributing to making a big difference in the methods of reskilling/upskilling in the industry associated with construction labour, supervision, efficiency management and productivity enhancement.

Labour productivity in construction has fallen behind other industries in most of the world and has declined continuously for decades. Although several scholarly research projects have been conducted to salvage the prevalent low labour productivity in construction, contractors in the construction industry have continued to grapple with the devastating impact of low productivity. The purpose of this study is to determine key areas of focus necessary to promote productivity growth in construction.

Bibliometric and scientometric assessments were conducted to map the existing construction labour productivity (CLP) studies and establish key focus areas in the research domain. The keywords “Construction Productivity” OR “Construction Labour Productivity” OR “Construction Labor Productivity” OR “Construction Worker Productivity”.

Emerging trends in the CLP research field are reported. The study also determined the most productive authors and collaboration among authors, most productive journals, most active regions and publications with the highest impact in CLP research.

Documents published in the Scopus database were considered for analysis because of the wider coverage of the database. Journal and conference articles written in English language represent the inclusion criteria, while articles in press, review, book chapters, editorial, erratum, note, short survey and data paper were excluded from analysis. The study is also limited to documents published from 2012 to 2021.

The study brought to the awareness of the industry practitioners and other construction stakeholders, the key knowledge areas that are critical to promoting productivity growth in construction.

Except bibliometric analysis, previous research studies have used different approaches to investigate productivity in construction. The study presented future research directions through the emerging knowledge areas identified in the study.

Governments around the world instituted guidelines for calculating energy efficiency of vehicles not only by models, but by the whole universe of new vehicles registered. This paper compiles Multi-criteria decision-making (MCDM) studies related to automotive industry. We applied a Systematic Literature Review on MCDM studies published until 2015 to identify patterns on MCDM applications to design vehicles more fuel efficient in order to achieve full compliance with energy efficiency guidelines (e.g., Inovar-Auto). From 339 papers, 45 papers have been identified as describing some MCDM technique and correlation to automotive industry. We classified the most common MCDM technique and application in the automotive industry. Integrated approaches were more usual than individual ones. Application of fuzzy methods to tackle uncertainties in the data was also observed. Despite the maturity in the use of MCDM in several areas of knowledge, and intensive use in the automotive industry, none of them are directly linked to car design for energy efficiency. Analytic Hierarchy Process was identified as the common technique applied in the automotive industry.

This study aims to gain the perception of Selangor’s disadvantaged women on the Sharīʿah (Islamic law) rules on two micro-equity financing instruments, namely, muḍārabah (profit sharing) and mushārakah (profit-and-loss sharing) (M&M).

A survey was carried out in the rural area of Selangor district in Malaysia by administering a self-generated structured questionnaire. A total of 330 completed questionnaires were retrieved from the members of an Islamic microfinance institution (IsMFI), namely, Amanah Ikhtiar Malaysia (AIM). The data were analysed by using structural equation modelling.

The female borrowers of AIM perceive the Sharīʿah rules of M&M requiring high moral and ethical values and diligent repayment performance. They are aware of some other underlying provisions such as business liquidation, share transfer, information discloser and business termination. The overall findings of this study suggest that the perceived Sharīʿah rules are akin to those that are commonly used in general partnership businesses between Muslims. It also indicates that disadvantaged entrepreneurs would accept the rules that are easy to comprehend as well as favourable to their interests. It further suggests that respondents’ experiences of microfinance and business operation do not have a significant influence on their perception of M&M instruments.

This study was limited to Selangor. So, the perception of Muslim women surveyed may not represent the views of all women in Malaysia. However, it can offer a primary understanding of the said issue.

The findings of this study can help IsMIFs take initiatives to offer M&M as micro-equity finance to poor women entrepreneurs.

So far, limited studies have been carried out on M&M-based microfinancing. This paper offers new insights presenting disadvantaged women entrepreneurs’ perception of these financing instruments.

This study aims to examine the factors that influence profit–loss sharing (PLS) financing in Indonesian Islamic banks from the perspective of Islamic banks’ employees. Islamic banks have important role in influencing the amount of PLS financing distribution through their screening process.

This study uses questionnaires in collecting data that are distributed to the employees who process or handle PLS financing in Islamic banks in Yogyakarta, Indonesia. The independent variables are risk, financing screening process, analysis of financial statement and competency of the employees of Islamic banks. The data are processed using multiple regression.

This study finds that risk, the quality of financing screening process and the analysis of financial statement have positive influence on the PLS financing, whereas competency of employees of Islamic banks does not influence PLS financing.

The results of this study are expected to give contribution to increase the role of Islamic banks in encouraging PLS financing. The adequate screening, controlling and monitoring system in Islamic banks should be strengthened to encourage the quality of financing distributed.

Primary data are used in this study to know the perspective of Islamic bank employees in the financing division on the PLS financing. This study attempts to identify the perspective of employees who have direct relationship with the decision of financing in Islamic banks.

Social entrepreneurship (SE) presents specificities that the entrepreneur must address. Entrepreneurial intention (EI) and entrepreneurial orientation (EO) in SE should reflect specific characteristics of behavior. The purpose of this study is to identify the intention of Brazilian university students to undertake SE, having individual social EO (individual entrepreneurial orientation (IEO)-social) as their predictive behavior.

This paper collected study data from Brazilian university students. To test the study’s hypotheses, this paper used confirmatory factor analysis, structural equation model, partial least squares and generalized linear regression model.

The results indicate that Brazilian university students positively respond to their intention to become social entrepreneurs in the future, regardless of gender, courses or types of universities. In line with the literature, IEO-Social proved to be a strong predictor of EI-social.

This study was limited to understanding EI-social from IEO-Social. Besides, its sample is non-probabilistic, therefore, the findings of this study cannot be generalized.

The results encourage the inclusion of SE in entrepreneurial education programs. They guide the involvement of students from different areas of knowledge in activities aimed at higher education.

Evidence indicates that including the SE theme in entrepreneurial education programs proves to be valuable for opening purposeful career opportunities for students.

The study contributes to eliminating the gap in studies on EI-social in Brazilian university students. It also offers the IEO-social scale, theoretically constructed and with superior psychometric quality.

The purpose of the study is to probe the influence of individual social entrepreneurship orientations (ISEO) and SE education (SEE) which could affect social entrepreneurial intentions (SEI) among students.

The data were gathered from 241 entrepreneurship discipline university students. The data were analyzed with structural equation modeling.

Findings suggest that ISEO plays a vital role in stimulating SEI; moreover, SEE further moderates ISEO and SEI's relationship among students.

Based on the results, academia should focus on SEE and the government should devise policies to encourage social entrepreneurial ventures to aid in social problems solution.

This study validates the relationship of different factors (orientations and intentions) of the theory of planned behavior in the SE domain and confirms the significance of SEE.