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Construction contractors in Palestine, as in many other developing countries, suffer from many problems. One of their main problems is their inability to meet contractual requirements, such as completing projects within time, at the agreed cost and to the desired quality. Therefore, this paper aims to investigate the causes of the non-fulfillment of contractual requirements in three different types of projects: building, road and electro-mechanical projects.

Two methods were adopted to collect the data – qualitative and quantitative. In total, 65 causes were identified from the literature and qualitative semi-structured interviews with professional experts. These causes were classified into five categories: managerial, financial, contractor capabilities, regulations and laws and political. In the quantitative approach, a questionnaire was developed and then distributed to 50 professional experts: 20 building experts, 15 road experts and 15 experts in electro-mechanical projects. A five-point Likert scale was used to assess the importance, from the perspective of the subject matter experts, of the causes that had been identified. About 35 responses, which represent a combined response rate of 70%, were received. The quantitative data were analyzed using descriptive statistics, with the mean, standard deviation and degree of importance for each of the identified causes being determined, and the SPSS software platform used to rank them.

The results reveal that the most important reasons why contractors did not fulfill their contractual requirements in building projects were that contracts were awarded to the contractor offering the lowest price, and the profit margin was low because of intense competition among contractors. In road projects, the most important causes were the poor estimation of the equipment required and a lack of standardized conditions in the construction sector, while in electro-mechanical projects, the most important causes were the inability of the contractor to estimate the cost of the project accurately because of unclear bid documents and a lack of contractor capital.

The results of this study will be useful to stakeholders and Palestinian contractor unions. They can be disseminated to give guidance so that contractors can avoid these problems in future construction projects and enhance their compliance with contractual requirements. Moreover, knowing about these causes may lead to the reduction of conflicts and disputes between contractual parties (owners and contractors), which in turn will be reflected in the work quality and reputation of contractors.

The purpose of this article is to analyze the existing studies on the application of artificial intelligence (AI) in lean construction management (LCM). Further, this study offers a classification scheme that specifies different categories of AI tools, as applied to the field of LCM to support various principles of LCM.

This research adopts the systematic literature review (SLR) process, which consists of five consecutive steps: planning, searching, screening, extraction and synthesis and reporting. As a supplement to SLR, a bibliometric analysis is performed to examine the quantity and citation impact of the reviewed papers.

In this paper, seven key areas related to the principles of LCM for which AI tools have been used are identified. The findings of this research clarify how AI can assist in bolstering the practice of LCM. Further, this article presents directions for the future evolution of AI tools in LCM based on the current emerging trends.

This paper advances the LCM systems by offering a lens through which construction managers can better understand key concepts in the linkage of AI to LCM.

This research offers a new classification scheme that allows researchers to properly recall, identify and group various applications of AI categories in the construction industry based on various principles of LCM. In addition, this study provides a source of references for researchers in the LCM discipline, which advances knowledge and facilitates theory development in the field.

Industry 4.0 is characterised by the exponential pace of technological innovations compelling organisations to transform or be displaced. Industry 4.0 transformation of construction enterprises lacks systematic guidance and notable earlier studies have utilised maturity models to map transformation of enterprises. This paper proposes a conceptual maturity model for construction enterprises for business scenarios leading to Industry 4.0.

The requirements for designing maturity models, including comparison with existing models and scientifically documenting the design process, make Systematic Literature Reviews (SLR) appropriate. Two systematic literature reviews (SLRs) are conducted to shortlist a total of 95 papers, which are subjected to subsequent content analysis.

The first SLR identifies the following process categories as critical levers of industry 4.0 maturity; data management, people and culture, leadership and strategy, collaboration and communication, automation, innovation and change management. The second SLR ascertains that the existing maturity models in construction literature do not adequately correspond to Industry 4.0 business scenarios with limited emphasis on data management, automation, change management and innovation. The findings are assimilated to propose a conceptual Smart Modern Construction Enterprise Maturity Model (SMCeMM).

The paper systematises the transformation of construction enterprises in Industry 4.0 and leads to state-of-the-art development of Industry 4.0 and maturity model research in construction. The proposed conceptual model addressed both the demands of the construction industry as well as what is required to navigate Industry 4.0 better.

The present study aimed to evaluate how Brazilian companies from different sectors are developing human resources practices in the context of Industry 4.0 and which of these practices allows better differentiate of companies.

After a systematic literature review to identify the most important human resources practices in the context of Industry 4.0, a survey with professionals from human resources area of companies operating in Brazil was carried out. Data analysis was performed through frequency evaluation and CRITIC method (Criteria Importance Through Intercriteria Correlation). CRITIC method was used to identify the practices that best differentiate the studied companies.

The analysed companies are in different evolutionary stages regarding how human resources management practices are adapting to the Industry 4.0 context. Few companies have presented reliable results to better support the transition process. Practices related to evaluating employee performance in this context, estimating the needs of financial resources and time for the training required by Industry 4.0 and establishing systems to recognise talents among employees who already work for the company are the practices that best differentiate companies.

There are few studies on this topic for Brazilian context. The information presented in this article can be useful for professionals and researchers.

This paper contributes to the existing literature by extending the empirical work on the relationship between corporate governance and capital structure by analyzing the mediating role of cost of capital in the non-financial firms listed on the Pakistan Stock Exchange (PSX).

The sample for this study includes non-financial firms listed on the Pakistan Stock Exchange (formerly Karachi Stock Exchange) for the period of 2004–2016. Based on 1800 firm-year observations, three approaches of panel data analysis are applied for the step-wise analysis of the underlying study. Firstly, Pooled OLS is applied. Secondly, fixed and random effect panel regression followed by the Hausman test to check the unobservable individual heterogeneity of the data. Hausman test indicates that the fixed-effects model is the most appropriate model for the sample panel data.

The study's findings are that board size, board composition, CEO/Chair duality, institutional ownership and managerial ownership have statistically significant direct effect on the firm's financing decisions. However, CEO/Chair duality, institutional ownership and managerial ownership have significant indirect effect on firm's capital structure decisions. The interesting finding of the paper is on the evidence of mediating role of cost of capital in the nexus of corporate governance and capital structure. Moreover, some conventional determinants of capital structure, including the firm's size, asset structure of the firm, profitability, business risk and growth, are found as determinants of capital structure decisions of the firms.

There are a few limitations to our study which could be addressed by upcoming research. We did not include all the four mechanisms of corporate governance including board structure, audit structure, compensation structure and ownership structure. However, we used only five important attributes including board size, board composition and CEO/Chair duality form board structure, managerial ownership and institutional ownership form ownership structure of corporate governance as our explanatory variables to examine their impact on the capital structure choices of the firms. Future studies may fill this research gap by involving some other attributes of corporate governance and analyzing their effectiveness and impact on value relevant capital structure decisions. Further, due to limited time and resources, we only tested the mediating role of cost of capital, hence, future researchers can analyze the mediating and moderating roles of different variables which may influence the relationship between corporate governance and capital structure choices of the firms.

The study has many valuable guidelines and practical implications for the financial managers of the corporations. Our results will facilitate the policymakers in setting their corporate governance policies and practices and making the value relevant capital structure decisions in compliance with the implications of corporate governance mechanism. In addition, our study provides the empirical evidence in accordance with the argument that good governance practices, particularly the voluntary disclosures by the firm may reduce the information asymmetry which, ultimately, reduces the agency cost and the cost of capital for the firm. However, while deciding the financial policy of the corporations, managers can use our findings in order to assess the effectiveness of corporate governance practices employed by the firm in achieving the optimal capital structure at which the weighted average cost of capital is at its minimum level.

This paper contributes to the literature by investigating the mediating role of the cost of capital in the relationship between corporate governance and capital structure decisions of the firms. This paper provides empirical evidence that corporate governance indirectly affects capital structure decisions through the mediating role of cost of capital.

Each building project demands an integrated method for information and requirement management in its life cycle. The main purpose of this paper is to explore the major obstacles in integrated life cycle information management and recognize the potentials of CoClass as the new Swedish digital classification system to tackle them throughout asset life cycle.

The industry viewpoint toward the current status of asset information management considering ISO 19650-1 principles and the existing obstacles and the industry practitioners' ideas regarding CoClass capabilities and applicability were captured and analyzed. A total of 13 semistructured interviews were conducted with the AECO industry professionals to have an understanding of information requirement management. Then the results were analyzed qualitatively, using the NVivo 12 software. Different attributes of a component (heating panel) in a meeting room according to CoClass and data deviations throughout the asset life cycle were elaborated.

This study reveals some obstacles in information management process in seven categories in relation to: (1) the need to employ information exchange platforms as common data environments (CDEs) by all actors from early stages; (2) the communication issues caused by lack of utilizing common languages; (3) the costly and time-consuming implementation process; (4) the misunderstandings in terms of data communication between service providers and owners; (5) the definition and fulfillment of information requirements as well as keeping track of data deviations throughout asset life cycle; (6) the information update difficulty; and (7) the need for training practitioners dealing with new systems such as CoClass.

The research explores the major obstacles in information requirement management concerning the practical implementation of the new Swedish classification system, CoClass, supporting the asset life cycle.