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The highest number of accidents in proportion to the employment rate is found in construction industry among all industries in Pakistan. The purpose of this paper is to identify and prioritize the contributory factors of accident causation that can significantly reduce the rate of accident in the construction industry.

In total, 32 contributory factors of accident causation were identified through a triangulation strategy comprising eight face-to-face semi-structured interviews with the academic and industry experts coupled with a comprehensive literature review. Delphi survey was then conducted among the four respondent groups (clients, contractors, safety official and academia) to prioritize these factors. A consensus was achieved among the respondent groups after conducting two rounds of Delphi survey. Finally, the results were validated using the technique of inter-rater agreement (IRA) analysis.

All the shortlisted accident causation factors were graded as “important” to “extremely important”. Moreover, a “moderate” to “strong level” agreement was developed among the respondent groups. The three most significant factors were highlighted as “poor enforcement of safety rules and regulations by the Government agencies”, “insufficient allocation of safety budget and safety incentives by the client”, and “insufficient provision of safety training and resources by the contractor”.

The findings will help the key stakeholders to prioritize their energies towards achieving zero accident in the construction industry. Moreover, addition of academic experts as one of the respondent groups will enhance the linkages between the academia and the industry practitioners.

Besides highlighting the underlying causes of construction accidents in Pakistan, a detailed methodology is presented in this study for the analysis and validation of the Delphi survey data, which can be extrapolated in other regions and industries for elements prioritization. The findings of the study can also be generalized for other developing countries having similar work environment. The results validation through the use of IRA analysis is an addition to the field of construction safety research. The study also authenticates the applicability of IRA analysis to assess the agreement level among the respondents.

The purpose of this paper is to introduce a decision support aid for deciding an overseas construction project (OCP) using an adaptive neuro fuzzy inference system (ANFIS).

This study presents an ANFIS approach as a decision support aid for assessment of OCPs. The processing data were derived from 110 simulation cases of OCPs. In total, 21 international factors observed from a Delphi survey were determined as assessment variables to examine the cases. The experts were involved to evaluate and judge whether the company should Go or Not Go for an OCP, based on the different parameter scenarios given. To measure the performance of the ANFIS model, root mean square error (RMSE) and coefficient of correlation (R) were employed.

The result shows that optimum ANFIS model indicating RMSE and R scores adequately near between 0 and 1, respectively, was obtained from parameter set of network algorithm with two input membership functions, Gaussian type of membership function and hybrid optimization method. When the model tested to nine real OCPs data, the result indicates 88.89 percent accurate.

The use of simulation cases as data set in development the model has several advantages. This technique can be replicated to generate other case scenarios which are not available publicly or limited in terms of quantity.

This study evidences that the developed ANFIS model can predict the decision satisfactorily. Therefore, it can help companies’ management to make preliminary assessment of an OCP.

The purpose of this paper is to develop a conceptual cost estimation (CCE) model for building project by using a pragmatic approach, which is a mix of tools drawn from multiple regression analysis (MRA) and adaptive neuro-fuzzy inference system (ANFIS), to improve the accuracy of cost estimation at an early stage.

This paper presents a set of MRA and integrating MRA with ANFIS or MRANFIS. A simultaneous regression analysis was developed to determine the main cost factors from 12 variables as input variables in the ANFIS model. Cost data from 78 projects of state building in West Sumatra, Indonesia were used to indicate the advantages of the proposed model.

The result shows that the proposed model, MRANFIS, has successfully improved the mean absolute percent error (MAPE) by 2.8 percent from MRA of 10.7–7.9 percent for closeness of fit to the model data and by 3.1 percent from MRA of 9.8–6.7 percent for prediction performance to the new data.

Because the significant variables are different for each building type, the model may be not appropriate for other buildings depending on the characteristics of building. The models can be used and analyzed based on the own historical project data for each case so that the model can be applied.

The study thus provides better accuracy of CCE at an early stage for state building projects in West Sumatra, Indonesia by using the integrated model of MRA and ANFIS.

The aviation business has had a difficult time due to the COVID-19 pandemic in the past year. As a result, people worldwide are limited to travel which causes a decrease in turnover from a business in the transportation sector, particularly aviation. This condition, indeed, also affects the company’s stock price. This study examines the volatility of stock prices as an initial indication of what has happened and looks at future projections. The method used in this study is the autoregressive integrated moving average (ARIMA) in achieving research objectives. The findings found that the autoregressive combined moving average on AR1 and MA1 can show conditions based on past data and predict the projection of its volatility. The aviation business is still considered to survive with daily stock prices that are relatively positive and stable for the next upcoming period.

This study aims to explore how informal pawnbrokers and informal pawners interpret the existence of the informal pawnshop in the traditional market in Surakarta, Indonesia, with the main focus to determine the applicability of informal pawnshop development model.

The research used the qualitative method with the phenomenological approach using interview method to fully comprehend the informants’ views regarding the informal pawnshop existence in traditional markets in Surakarta, Indonesia. The applicability of informal pawnshop development model is required for Muslim market vendors. Charitable institutions shall participate in the development of the model by empowering (zakat, infaq, shadaqah and waqf) funds to help Muslims vendors in the traditional markets for additional capital in accordance with Islamic laws for a pawnshop.

The result of the research shows that the existence of informal pawning in the traditional markets is difficult to avoid as both informal pawnbrokers and informal pawners need one another. Most vendors in the traditional markets are Muslims. Islam teaches that loan interest is categorized as forbidden riba. Meanwhile, in the informal pawning practices, the informal pawnbrokers charge loan interest to the informal pawners.

The objective of this study is to investigate to what extent the Islamic pawn shops motivated the people through interest-free system. However, in past, tradition markets facilitate the people, but they charged a huge against it with interest (riba).

This paper aims to provide a bibliometric review and visualisation analysis of the literature on Sustainable Stock Indices (SSI) between January 2001 and March 2022. The purpose of performing this bibliometric analysis is to empirically report the trend, intellectual structure, knowledge development directions and identify prospective research topics in the area of SSI.

A total of 222 publications were selected after evaluating, identifying and synthesising the extensive publications using the Preferred Reporting Items for the Systematic Reviews and Meta-Analyses (PRISMA) approach. The articles were extracted from the databases of SCOPUS, Web of Science and Google Scholar. The study uses VOSviewer and RStudio software to answer four research questions.

The results signify that there has been a considerable increase in the level of research considering SSI. Further, the study shows that SSI is among the top five trending keywords in the research related to finance and environment. Most papers considered as a sample for this study are based on Dow Jones Sustainable Indices. Noteworthy, very few economies are participating in this research domain, and the significant contribution is from the developed countries.

The present review paper may assist the researchers in identifying the trending research topics in this domain. It may serve as a roadmap for several further studies in the area.

This study is unique in terms of reviewing the literature based on SSI. Further, it provides a holistic view of the current trend, global position and research hotspots of SSI, which has important implications for future research.

This study aims to perform a systematic review of the dialectics and telematics strategy for regulating religion during the COVID-19 pandemic. The study also analyzes some important issues related to religions, state, and society.

A critical literature review was performed to complete this study, using media, institutional, national, and international reports, as well as recent and previous studies during the COVID-19 pandemic.

Religion was one of the social entities that had a crucial effect on the COVID-19 pandemic. The new system in the form of social distancing affects its performance. Furthermore, the response of religion in Indonesia is unique when its status is considered as the largest Islamic country in the world. Therefore, this study attempts to analyze and demonstrate the dynamics of relationships between actors, religion, and state in the process and strategy of religious regulation.

This study was carried out using a single methodological approach.

This study provides input to both religion and the state (government) in building a synergy of constructive responses to the effects of the COVID-19 pandemic.

It provides input to society in understanding the critical intersection between religion, state, and society.

This may be the first academic study that analyzes the problems of the process of regulating religion in the context of COVID-19.

The purpose of this paper is to explore the perceptions of auditors and users of their reports on auditor independence in Indonesia.

Auditors and users are requested to stated their confidence in the level of independence in 34 scenarios. Descriptive and χ2 test are the used to analyse the difference of perceptions amongst groups. The paper then conduct an interview with a senior officer of audit regulator body to better understand the findings.

Both groups have less confidence on auditor independence in 30 situations. Results between auditors and users indicate auditors having lower confidence on auditor independence than users in situations related to crossover from audit firm to client, provision of NAS, auditor litigation and indirect financial interest through shareholdings while users have lower confidence on auditor independence involving personal relationship with a political figure and client imposing strict budget on audit fees. Within the auditor group, non-Big 4 auditors expressed more concerned for situations related to family relationship and restriction on audit fees.

Research on auditor independence in Indonesia remains scarce despite the country's eagerness to adopt “international” accounting and auditing standards. In addition, the cultural context of Indonesia also helped in explaining our findings.

The spread of fake news on Instagram is still a problem that needs to be solved. Teenagers are a generation that is vulnerable to fake news, for example, high school students. Students need media literacy to help them protect against fake news. The media literacy skills possessed by students influence the behavior of spreading fake news that they do. This study aims to examine the effect of student media literacy on the behavior of spreading fake news on Instagram among students at public high schools in Surabaya.

This study used an online survey to100 students at five public high school in Surabaya to get the data on their ability to respond to the fake news on social media Instagram.

It was found that there is a media literacy that has a significant effect on the behavior of spreading fake news on Instagram. Based on these findings, it can be concluded that media literacy influences the behavior of spreading fake news on Instagram, and other factors influence the rest. There are seven media literacy skills, and the high category are grouping, deduction, synthesis and abstraction abilities. Meanwhile, the abilities included in the medium category are analysis and evaluation abilities.

This paper will provide insight of the media literacy levels on teenagers in metropolitan city. This result can be used as guide to add the media literacy subject at high schools and can be used to strengthen the media literacy skills among teenagers.