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Sustainable development goals (SDGs) are gaining significant importance in the current environment. Many businesses are keen to adopt SDGs to get a competitive edge. There are certain challenges in realigning the present working scenario for sustainable development, which is a primary concern for society. Various firms are adopting sustainable engineering (SE) practices to tackle such issues. Artificial intelligence (AI) is an emerging technology that can help the ineffective adoption of sustainable practices in an uncertain environment. In this regard, there is a need to review the current research practices in the field of SE in AI. The purpose of the present study is to comprehensive review the research trend in the field of SE in AI.

This work presents a review of AI applications in SE for decision-making in an uncertain environment. SCOPUS database was considered for shortlisting the articles. Specific keywords on AI, SE and decision-making were given, and a total of 127 articles were shortlisted after implying inclusion and exclusion criteria.

Bibliometric study and network analyses were performed to analyse the current research trends and to see the research collaboration between researchers and countries. Emerging research themes were identified by using structural topic modelling (STM) and were discussed further.

Research propositions corresponding to each research theme were presented for future research directions. Finally, the implications of the study were discussed.

This work presents a systematic review of articles in the field of AI applications in SE with the help of bibliometric study, network analyses and STM.

Forests are negatively affected from rapid world population increase and industrialization that create intense pressures on natural resources and the possibility of an achieving circular economy. Forests can be considered as essential resources for providing sustainable society and meeting the requirements of future generations and circular economy. Therefore sustainable production tools as part of circular economy can be handled as one of the basic indicators for achieving circular economy. Accordingly the main purpose of this study is developing a novel rough – fuzzy multi-criteria decision-making model (MCDM) for evaluation sustainable production for forestry firms in Eastern Black Sea Region.

For determining 18 criteria weights a novel Rough PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method is developed. Eight decision-makers (DMs) participated in the research, and to obtain group rough decision matrix, rough Dombi weighted geometric averaging (RNDWGA) operator has been applied. For evaluation forestry firms fuzzy MARCOS (Measurement of alternatives and ranking according to COmpromise solution) method was utilized.

After application developed model the fourth alternative was found as the best. Sensitivity analysis and comparison were made to present the applicability of this method.

Development of novel integrated Rough PIPRECIA-Fuzzy MARCOS model with emphasis on developing new Rough PIPRECIA method.

This paper aims to evaluate the available research to identify the factors contributing to the delays in road construction projects. The primary goals of this study are to determine the critical elements that cause delays in road projects, and to investigate the appropriate corrective actions suggested to lessen the delays in road projects. The study also assesses the theoretical background, methodology, limitations and future research prospects suggested in relevant research works related to causes for delays in road construction.

This study adopted systematic literature review in three steps: collecting relevant literature, descriptive analysis and content analysis. This study used keyword analysis and thematic content analysis on some relevant selected studies. NVivo 12 was used for thematic content analysis utilising description-focused coding, the text was thematically analysed, three other software: MS Excel, VOSviewer and Mendeley were also used for analysis in this study.

The findings revealed that road projects around the world experienced delays and the reasons for delays are many. After the analysis of literature, number of factors causing delays in road projects were identified, which were then divided into seven broad groups using thematic content analysis. The investigation shows that variations in design and inefficient management of project by contractor including inadequate planning and scheduling are the top two factors of delay. The most frequent suggested corrective measure to reduce delay was employing technically competent employees and contractor should conduct thorough survey on his part, rather than just accepting the survey report at face value.

This review paper is addressing the issues related to delays in road construction projects and suggests remedial measure to reduce them. The paper will be useful for researchers, industry professionals, academician and policy makers concerned with the road construction projects. The study conducted the review of selected relevant articles related to causes of delay in road construction projects for qualitative analysis. The research articles using quantitative methods and studies conducted on other types of infrastructure projects were not included; however, findings from this study may be applicable to other construction projects as well.

The findings of this paper are useful in the fields of economy, industry, academia and public policies. The paper thoroughly examined the factors causing delays in highway projects, offering insights for practitioners to identify best practices and mitigation strategies. These findings can guide investment and policy decisions for highway infrastructure projects, promoting a holistic approach to development. Additionally, this paper can help enhance research methods in studies about delays in road infrastructure projects.

The literature review in the paper used a qualitative method. The causes of road project delays, remedial action, context, methodology and theoretical foundation were all examined in this paper.