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The purpose of this paper is to develop a framework for implementing lean construction and consequently to improve performance levels in the construction industry in the context of Saudi Arabia. There is currently no framework for implementing lean construction specifically tailored to the Kingdom of Saudi Arabia (KSA) construction industry. Existing lean construction frameworks are focussed on other countries and are less applicable in the KSA due to differences in socio-cultural and operational contexts.

This study employs the interpretive structural modelling (ISM) technique for data collection and analysis. First, following a survey of 282 construction professionals, 12 critical success factors (CSFs) for implementing lean construction in the KSA construction industry were identified by Sarhan et al. (2016). Second, 16 of these professionals who have 15 years or more experience were exclusively selected to examine the contextual relationship among the 12 CSFs. A row and column questionnaire was used for a pairwise comparison of the CSFs. A matrix of cross-impact multiplications (MICMAC) was applied to analyse the questionnaire data to develop an ISM model that can serve as a framework for implementing lean construction. Third, the framework was subjected to further validation by interviewing five experts to check for conceptual inconsistencies and to confirm the applicability of the framework in the context of the KSA construction industry.

The findings reveal that the CSFs are divided into four clusters: autonomous, linkage, dependent and driving clusters. Additionally, the findings reveal seven hierarchies of inter-relationships among the CSFs. The order of practical application of the CSFs descends from the seventh hierarchy to the first hierarchy.

The new framework is a significant advancement over existing lean construction frameworks as it employs an ISM technique to specify the hierarchical relationships among the different factors that contribute to the successful implementation of lean construction. The primary value of this study is the development of a new framework that reflects the socio-cultural and operational contexts in the KSA construction industry and can guide the successful implementation of lean construction. Therefore, construction industry operators such as contractors, consultants, government departments and professionals can rely on the framework to implement lean construction more effectively and successfully.

The purpose of this paper is to identify the barriers to implementing lean construction in the Kingdom of Saudi Arabia (KSA) construction industry and to prioritise the principal factors that constitute these barriers.

A literature review was initially used to reveal the global barriers to implementing lean construction. Subsequently, these barriers were incorporated into a structured questionnaire, and a convenience sample of 282 construction professionals in the KSA construction industry was surveyed. The results were analysed using mean item score (MIS), Mann–Whitney U test and principal component analysis (PCA).

The findings revealed 22 barriers to lean construction implementation in the KSA construction industry. Principal factors that constitute these barriers were found to be traditional practices, client related, technological, performance and knowledge and cost-related barriers in descending order of pervasiveness. The study also proposes solutions to overcome these principal barriers.

This study provides a global overview of the barriers to implementing lean construction. It contributes to the body of knowledge, as it uncovers for the first time the barriers to implementing lean construction in the KSA construction industry with reference to the socio-cultural, economic and operational context of the KSA. Thus, it is relevant to other countries in the Middle East because of their shared similarities to the KSA. Furthermore, the solutions proposed to overcome these barriers in the KSA construction industry can be applied in other countries where similar barriers are identified.

The purpose of this paper is to explore the motives of Indian firms for engaging with corporate social responsibility (CSR) practices and their interplay by using interpretive structural modelling methodology (ISM) and Matrice d’impacts croisés multiplication appliquée á un classment (MICMAC) analysis.

The research uses ISM and Matrice d’impacts croisés multiplication appliquée á un classment (MICMAC) analysis to find the structural relationship among the CSR motives of the Indian firms identified from the past literature and agreed upon by the experts.

The ISM model indicates that firms primarily engage in CSR either because of top management commitment to certain values, to meet the legal mandate or of the pressure from the NGOs. The top management commitment gives a strategic orientation to CSR, which results in community engagement by the firm as one of the important components of the strategy. The community engagement helps in engaging with its employees and investors along with finding sources of innovations, which, in turn, help the firm in engaging its customers, managing corporate reputation and getting a cost advantage. Collectively, these help them in improving their financial performance. However, the model highlights two autonomous sources, meeting legal mandate and pressure from NGOs also motivate firms to engage in CSR without having any strategic thought or engagement with its strategic system.

The study provides a comprehensive listing of CSR motives of Indian firms along with the structural relationships among the identified CSR motives. The model developed provides CSR professionals and policymakers an understanding of the primary CSR motives along with their driving power and dependence. This insight will help them in manipulating these motives for better CSR engagement by the Indian firms.

Lean construction (LC) consists of very effective techniques; however, its implementation varies considerably from one industry to another. Although numerous lean initiatives do exist in the construction industry, the research topic related to LC implementation is still unexplored due to the scarcity of validated assessment frameworks. This study aims to provide the first attempt in developing a structural model for successful LC implementation.

This study developed a Lean construction model (LCM) by critically reviewing seven previous LC frameworks from different countries, defining 18 subprinciples grouped into 6 major principles and formulating testable hypotheses. The questionnaire was pre-tested with 12 construction management experts and revised by 4 specialized academics. A pilot study with 20 construction units enhanced content reliability. Data from 307 Moroccan construction companies were collected to develop a measurement model. SPSS V. 26 was used for Exploratory Factor Analysis, followed by confirmatory factor analysis using AMOS version 23. Finally, a structural equation model statistically assessed each construct's contribution to the success of LC implementation.

This work led to the development of an original LCM based on valid and reliable LC constructs, consisting of 18 measurement items grouped into 6 LC principles: Process Transparency, People involvement, Waste elimination, Planning and Continuous improvement, Client Focus and Material/information flow and pull. According to the structural model, LC implementation success is positively influenced by Planning and Scheduling/continuous improvement (β = 0.930), followed by Elimination of waste (β = 0.896). Process transparency ranks third (β = 0.858). The study demonstrates that all these factors are mutually complementary, highlighting a positive relationship between LC implementation success and the holistic application of all LC principles.

To the best of the authors’ knowledge, this study is the first attempt to develop a statistically proven model of LC based on structural equation modelling analysis, which is promising for stimulating construction practitioners and researchers for more empirical studies in different countries to obtain a more accurate reflection of LC implementation. Moreover, the paper proposes recommendations to help policymakers, academics and practitioners anticipate the key success drivers for more successful LC implementation.

In responding to global issues of creating sustainable development, the Indonesian government has enacted regulations (i.e. Ministry of Public Works and Housing No. 05/PRT/M/2015) on the implementation of sustainable construction in infrastructure project execution. The purpose of this paper is to evaluate the means of implementing sustainable principles in the execution of infrastructure projects in Indonesia by the main construction service providers and their partners. A lesson-learned is presented as a source of knowledge to underpin the extensive implementation of sustainable principles in the construction of infrastructure projects leading to an integrated approach in creating a sustainable infrastructure that fulfills the requirements of sustainable development.

The method used is questionnaire surveys with Indonesian construction practitioners who are working on building construction, road and bridge construction, water facilities construction and house and settlement construction.

From the results, the practices of sustainability principles by construction service providers in infrastructure project execution are imperative from the project procurement phase. The evaluation continues to the phase of construction project execution, which reveals the inconsiderable performance of sustainability indicators due to current constraints on the implementation of sustainability principles.

This research looks into the existing gaps between sustainable construction principles and their practical implementation in Indonesian infrastructure projects. This will foster a holistic approach in the practice of undertaking sustainable procurement processes, thus reinforcing project management techniques in the phase of sustainable construction project execution. This also strengthens the interrelated roles and responsibilities of project stakeholders by taking into account principles of safety, balance and the harmony of infrastructure and the environment.

Sustainable machining is a global consensus and the necessity to cope up the serious environmental threats. Minimum quantity lubrication (MQL) and nanofluids-based MQL(NFMQL) are state-of-the-art sustainable lubrication modes. The purpose of this study is to investigate the effect of process parameters, such as feed rate, depth of cut and cutting fluid flow rate, on temperature and surface roughness of the manufactured pieces during face milling of the AISI D2 steel.

A statistical technique called response surface methodology with Box–Behnken Design was used to design experimental runs, and empirical modeling was presented. Analysis of variance was carried out to evaluate the model’s accuracy and the validation of the applied technique.

A comprehensive analysis revealed the superiority of implementing NFMQL in comparison to MQL within the levels of process parameters. The comparison has shown a significant reduction of temperature under NFMQL at the tool-workpiece interface from 16.2 to 34.5 per cent and surface roughness from 11.3 to 12 per cent.

This research is useful for practitioners to predict the responses in workshop and select appropriate cutting parameters. Moreover, this research will be helpful to reduce the resource which will ultimately save energy consumption and cost.

To cope with the industrial challenges and tribological issues associated with the milling of AISI D2 steel, experiments were conducted in a distinct machining mode with innovative cooling/lubrication. Until now, few studies have addressed the key lubrication effects of Al₂O₃-based nanofluid on the machinability of D2 steel under NFMQL lubrication condition.

Proper identification of the key motivating factors (or key drivers) is needed to ensure successful adaption and implementation of the lean concept for construction projects. However, there lacks a study investigating the complex interrelationships existing among the key drivers contributing to Sustainable and Successful Lean Construction (SSLC) implementation for such projects. To address this shortcoming, this study aims to uncover the main critical key drivers towards the implementation of SSLC for the very first time by capturing the complexity of this vexing problem.

In this study, a new hybrid framework is developed through the integration of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Social Network Analysis (SNA). The novel developed framework is called the DSNA approach.

Considering the case of Malaysian construction projects, the developed DSNA gives the following major outcomes: (1) Most important critical key drivers are seen to be optimization, continuous improvement, and, improve company culture, and (2) For SSLC adoption, the critical drivers impacting other key drivers are seen to be “improve teamwork”, “reduce leadership conflict”, and “improve company culture”, thereby demanding more attention.

The outcomes of this study give insight for decisions and policymakers in the construction industry regarding critical key drivers and their complex interrelationships towards the further adoption of SSLC, promoting the sustainability paradigm within the respective sector.

This paper not only presents a list of critical drivers and the corresponding association among them towards SSLC adoption, but also proposes DSNA as a novel approach for uncovering the complex interrelationship existing in an intricate problem, improving the intricate process of decision-making.

This study aims to examine the impact of board characteristics on debt choice.

The sample comprises of unique nonfinancial firms listed in the FTSE 350 over the period 2011–2018. This study uses Tobit and OLS regressions to check the impact of board characteristics on debt choice. The results are robust to the battery of robust checks.

This study finds that board size and board independence are positively associated with public debt. However, CEO duality and board meetings frequency are inversely associated with public debt. Overall, the findings are consistent with the “financial intermediation theory” that the firms with weak governance rely on bank financing, and firms with better corporate governance go for public debt.

This study offers significant insights for investors and policymakers.

This study offers new insights regarding the role of board characteristics in firms’ debt choice by showing the significant impact of board characteristics on debt choice. The findings indicate that the board’s efficient internal monitoring may substitute external monitoring by the bank.

This study aims to examine the influence of corporate governance (CG) and corporate social responsibility (CSR) on firm value while accounting for the impact of information asymmetry.

This empirical analysis is based on 1,079 observations from 83 listed Indonesian firms for the period 2007–2019. The authors applied simultaneous equation models with ordinary least squares and two-stage least squares.

The authors present empirical evidence of CG mechanisms that significantly contribute to low levels of CSR. Moreover, the authors identify a significant impact of information asymmetry on the relationship between CG, CSR and firm value.

The results show that information asymmetry, CG and CSR do not necessarily result in improved firm value across boards. Moreover, the employment of a nonlinear Cobb–Douglas-type function indicated diminishing marginal returns.

The findings can help policymakers in developing countries in improving the monitoring and supervisory roles of CG mechanisms to provide more support to CSR, increasing regulatory pressures for improved CSR performance and reducing information asymmetry by adopting a standardized CSR reporting scheme.

The suggested implications can contribute to more sustainable practices among Indonesian-listed firms as well as improving relationships with consumers and stakeholders toward the practice of CSR.

The adoption of a comprehensive CSR measurement tool to examine the value of CSR contributes to the extant literature, along with examining the impact of information asymmetry on the relationship between CG, CSR and firm value in a developing country context.

Corruption and manipulation of earnings remain a serious concern all over the globe. In addition, corporate disclosure of anticorruption information is still in its infancy in developing and emerging countries. Studies have also highlighted the importance of female directors in corporate disclosures and mitigating earnings management (EM). Therefore, the purpose of this study is to examine the moderating effect of board gender diversity on the relationship between anticorruption disclosure (ACD) on EM among listed firms in the East Africa Community (EAC) partners states.

The study used an ACD check list developed from recent studies and the Global Reporting Initiative (GRI) 205 on anticorruption reporting standards. The sample comprising of 58 firms listed across EAC partner states stock/securities exchanges over the period between 2013 and 2022. The hypotheses were tested using the fixed effect regression model.

This study found low disclosure of anticorruption practices among the selected firms. The regression results revealed that ACD and board gender diversity negatively affected EM. In addition, the study found that board gender diversity moderated the relationship between ACD and EM. The study used the system generalized method of moment (GMM) model to address endogeneity concerns.

The study will help policymakers and accounting standards setters in determining if mandatory ACD can reduce harmful EM practices. Furthermore, the findings can be helpful to corporate governance standards setters in deciding whether to implement gender quotas to enhance the effect of ACD on EM.

To the best of the author’s knowledge, this is the first paper that empirically examines the effect of ACD on EM in EAC. The study further adds to the empirical literature by assessing the moderating effect of board gender diversity, which has not been examined by earlier studies on ACD and EM.