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Sustaining the irrigated agriculture, while conserving the natural eco-system, are the two main objectives of sustainable water management (SWM) in irrigation. Achieving both the objectives simultaneously is a complex task in most developing countries. This requires a holistic approach of understanding the issues in irrigation water management (IWM) from social, economic and environmental perspectives. Therefore, this paper aims to analyse the issues towards the SWM of irrigation systems in Sri Lanka to help maintain a stable relationship between the aforementioned two objectives.

Qualitative interview survey was selected as the research strategy to achieve the research aim. 16 semi-structured interviews were conducted with experts in IWM sector to collect data in the Sri Lankan context. Data were analysed using code-based content analysis, based on directed approach.

Findings revealed the issues in SWM in terms of efficiency of irrigation infrastructure; equity of water distribution; environmental integrity and economic acceptability. Most of the issues were related to the inefficiency towards SWM of irrigation systems. Conflicts among water users, especially the people in downstreams aggravated the problem of equity of water sharing. Depletion of groundwater and waterlogging were the major issues towards environmental integrity. Loss of water happened due to the issues in different irrigation infrastructure components hindering economic acceptability.

Theoretical contribution includes an analysis of issues in IWM from a sustainability perspective. Practical implications include an overview of deficiencies in the SWM to generate appropriate strategies to achieve sustainability for decision-makers such as policymakers in the irrigation sector in developing countries similar to Sri Lanka.

Many public-sector building projects in developing countries are prone to variations owing to the changes made to their original project scopes, and economic depressions and stagnations. Cost and time-overruns are consequences of such variations. Thus, variation management in these projects is important. Hence, this paper aims to analyse the methods of managing variations in public-sector building projects in Sri Lanka.

The study adopted a mixed research approach. Seventeen expert interviews and a questionnaire survey were conducted to identify the causes and consequences of the variations, and the strategies that will help manage those variations. Manual content analysis and mean weighted rankings (MWR) were used to analyse the collected quantitative and qualitative data, respectively.

The employer, consultant, contractor and several other factors are mostly responsible for the variations in public-sector building projects in Sri Lanka. Cost and time-overruns, rework and demolition and disputes are the major consequences of such variations. The study findings reveal that a detailed employer’s brief, clearly defined project objectives, a comprehensive design and set of specifications, and preliminary investigations are the strategies that will mostly minimise the variations in public-sector building projects in Sri Lanka.

The study proposes strategies to avoid or minimise the adverse impact of variations, which the industry practitioners can adopt for variation management in public-sector building projects. The study theoretically contributes to knowledge by revealing how variations in public-sector building projects in Sri Lanka can be managed by identifying their causes and consequences.

Irrigation System Management (ISM) poses many issues in terms of social and technical aspects. These can be further elaborated as the issues toward the efficiency of infrastructure, equity of water sharing, environmental integrity and economic acceptability. Water losses and the structural changes of the system caused many issues putting the irrigation system into distress. Hence, this urges the need for sustainable ISM to improve social and technical attributes in ISM. This paper aims to apply the Socio-Technical Systems (STSs) theory for sustainable ISM.

The qualitative expert opinion survey method was selected as the research strategy to approach the research aim. Sixteen industry professionals in the ISM sector were selected through the purposive sampling method to conduct semi-structured interviews to collect data in the Sri Lankan context. Code-based content analysis through a directed approach was used to analyse the data.

Four main categories of strategies were emerged from the research findings as “engineering strategies”, “operational strategies”, “management strategies” and “regulatory strategies” through STS approach for sustainable ISM. The STS framework was developed by combining engineering and operational strategies into the technical subsystem and the management and regulatory strategies into the social subsystem to approach the aim of achieving contemporary system management in irrigation in a sustainable manner.

The research revealed the links between the strategies emerged from various disciplines to minimise the issues in ISM from the perspectives of technical and social subsystems. The study contributes to knowledge by providing a framework for sustainable ISM by applying the socio-technical systems theory by integrating the concepts of sustainability.

Despite the desire to improve the sustainability of the construction industry, Sri Lanka is still plagued by the low-level adoption of essential methods such as Life Cycle Assessment (LCA) in building and infrastructure delivery. It is indispensable to investigate enablers for facilitating LCA because identification of enablers is a crucial step in the implementation of LCA. This study aims to analyze internal and external enablers for facilitating LCA for the Sri Lankan construction industry from the perspective of five stakeholder categories (academia, government, construction industry, society and environmentalists) and also aims to develop strategies to strengthen the enablers.

An explanatory research design was used. The five stakeholder categories identified above, whose contribution is essential for implementing LCA in Sri Lanka, were selected for data collection. A total of 20 semi-structured interviews were held representing each stakeholder category. The Repertory Grid Interview (RGI) technique was utilized and data analysis was performed using content analysis.

The results revealed that “ability to identify opportunities for environmental improvements as an extremely important internal enabler for all stakeholder categories” and “the positive growth in the country to achieve environmental sustainability”, “the availability of standardized LCA guides and handbooks” as extremely important external enablers for all stakeholder categories for facilitating LCA in the Sri Lankan construction industry. Further, strategies including making people aware of the LCA concept and development of the LCA database, etc. were proposed to strengthen the enablers.

Knowledge generated through this study would enable the abovementioned stakeholders to make informed decisions to promote the implementation of LCA in the Sri Lankan construction industry. Further, the results of this study have raised awareness of the issues that Sri Lanka will need to solve to expand the LCA applications.

So far, research on LCA has not looked into enablers that can facilitate the implementation of LCA in the Sri Lankan construction industry. This research provides a comprehensive view of the internal and external enablers for facilitating LCA from the perspective of five stakeholder categories and identifies enablers that led the abovementioned stakeholders to pursue the implementation of LCA in the Sri Lankan construction industry. The study also proposes strategies for strengthening the enablers.

This study aims to investigate the influence of external factors identified by the Political, Economic, Social, Technological, Environmental and Legal (PESTEL) framework on corporate social responsibility (CSR) performance in Vietnamese construction firms.

The snowball sampling method was employed to gather 182 validated responses. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM), the research analyzed how these factors correlate with CSR practices under institutional theory.

Results indicated that social, economic, environmental, legal and technological factors positively impacted CSR performance. Among these, social factors had the most significant effect, followed sequentially by economic, environmental, legal and technological influences. Intriguingly, political factors demonstrated no significant association with CSR performance.

The strong impact of social factors confirms that societal norms and cultural values are critical in shaping corporate behavior in Vietnam. Firms can leverage this insight by intensifying their community engagement and social investment. Additionally, the negligible role of political factors in shaping CSR suggests that firms might not need to focus heavily on political engagement in Vietnam. However, firms should remain aware of legal changes as legal factors influence CSR outcomes.

Despite CSR’s growing importance, there remains a notable research gap regarding how external macro-environmental factors influence CSR performance, particularly within the construction industry. The findings emphasize the importance of aligning business strategies with socioeconomic and environmental aspects.

In the construction industry (CI), inaccurate loose material measurements pose waste and economic challenges, accounting for approximately one-third of project cost overruns, representing 60% of the overall construction costs. Current practices for measuring loose construction materials are riddled with errors, direct adjustments and missing real-time oversight, resulting in waste, inefficiencies and cost escalations. This study aims to address this issue by automating the weighing mechanism of loose materials while regularly monitoring them during transportation from the source.

In this study, an innovative Internet of Things (IoT) solution: a smart vehicle-mounted weighing (VMW) system was developed using the smart sensors, Arduino while using C++ language. Initially, a prototype was developed and tested/ refined while experimenting on a Tractor trolley loaded with loose construction materials. Statistical methods were employed to test the validity of the developed system against traditional methods of weighing. Finally, the system was tested and optimized in a real project through a case study.

The empirical findings reveal that the IoT-enabled smart weighing system achieved an accuracy exceeding 95% during rigorous field assessments. A comprehensive case study highlighted significant cost savings, with 2.7% for subbase materials and 5.94% for aggregate base materials. These results validate the successful development of the prototype, demonstrating its potential to improve material management, minimize waste, and enhance operational efficiency in construction projects while promoting sustainable practices.

Few studies have addressed fully automated measurement of loose materials during transport to construction sites. This study introduces a novel IoT-enabled smart VMW system for real-time material monitoring and automated quantity takeoffs (QTOs). The system offers CI a reliable, transparent, and error-free material management tool, advancing current practices in material quantification thereby leading the CI toward sustainability using the latest technologies.

In construction projects, underpayments can be recognised as one of the significant drawbacks that impact the success of a project. Research into underpayments is considered ambiguous and provides a limited reflection of the issue, which makes it complicated to trace how it originates in the first place. This study aims to examine the causes that lead to underpayments and develop a holistic synthesis of underpayments for subcontractors in the lifecycle of a construction project.

An open-ended and closed-ended questionnaire was used to collect the data using purposeful sampling with 28 construction stakeholders who ranged from main contractors, subcontractors and others (Small medium enterprises SMEs, Consultancies, Clients etc.). Data collected was analysed to trace drivers and the impact of underpayment and suggested mitigation strategies to be identified whilst viewing the perspectives of a main contractor and subcontractor.

The findings show that the most prominent driver for underpayments is variation disputes followed by cash flow. The research also suggests mitigation strategies such as collaborative working, more robust budget control and early identification of risks as potential remedies to overcome the underpayment issue. The research concludes with a framework that elicits the complexity underlying underpayments for subcontractors in construction projects.

The research evolves the understanding that underpayment is a complex phenomenon, relying heavily on the data/information exchange mechanism between the main contractor and subcontractors. This research provokes the need to understand underpayment further so it can be mitigated.

Project complexity (PC) governs project success, but the project management literature primarily focuses on performance measures and rarely examines the complexity factors, especially for megaprojects. This paper aims to determine the most significant complexity factors for the railway megaprojects in India.

A mixed approach using the Delphi and best–worst method (BWM) helped to identify, validate and determine the most critical factors that require intervention to diminish variance from project performance.

The BWM resulted in stakeholder management, followed by organizational and technological complexity as significant complexity factors, and the varied interests of the stakeholder as the most important among the 40 subfactors.

The finding indicates the necessity for strategic, tactical and operational-level interventions to effectively manage the complexity affecting project efficiency because of the varied stakeholders. This paper will guide the project and general managers to prioritize their resources to handle complexity for effective project performance measured in terms of time, cost and quality and help them make strategic decisions. The research findings of this study are expected to help researchers and practitioners in better planning and smoother execution of projects. In addition, this study would help the researchers formulate policies and strategies for better handling of the projects.

This study adds significant value to the body of knowledge related to PC in megaprojects in developing countries. The result of the investigation underlined that nine complexity factors and seven unique subfactors, namely, the sustainable environment, timely availability of information, communication in both directions, interdepartmental dependency and coordination, design, statutory norms, site challenges, socioeconomic conditions, the tendency of staff to accept new technology and the frequent changes in the requirements of stakeholders are significant in railway megaprojects. The BWM is applied to rank the complexity factors and subfactors in the case area.

The Afghan construction industry faces resource shortages and heavily relies on foreign aid to fund public projects on the path to recovery and reconstruction. While the resource constraints demand cost-efficient delivery of construction projects, many Afghan public projects experience delays and cost overruns. This study aims to evaluate various attributes and factors influencing cost performance in public construction projects in Afghanistan.

The literature review and Delphi method identified 30 cost performance attributes relevant to the context of Afghanistan. Next, a questionnaire survey was conducted with construction management professionals working in the public sector in the Afghan construction industry to evaluate these attributes.

This study found that the lack of resources, poor project management skills and corruption in procurement are the leading causes behind cost overruns in Afghan public projects. This study also identified five latent factors influencing cost performance in public projects in Afghanistan: competency of the project team, socioeconomic and political support, governance and public procurement, planning and risk management and project characteristics.

The exploratory factor analysis did not reveal the relative significance of different cost performance success factors. Moreover, the ranking of cost performance attributes is based on the responses from the public sector construction professionals only.

The construction industry in Afghanistan significantly contributes to the country’s social and economic growth and employment. This study’s findings will help researchers, project sponsors, government departments and industry practitioners interested in improving the cost performance in Afghan public projects.

Given the scarcity of research in war-affected and conflict-sensitive regions, this study fills a research gap on project cost performance by providing insights into the cost performance success factors in public projects in Afghanistan.

Although many countries are focusing on the management of construction and demolition waste (CDW) resource utilization, the effect of risk aversion of the green innovation-led enterprise on the performance of the CDW resource utilization supply chain is unclear when considering different green innovation contexts (green innovation led by the building materials remanufacturer or by the construction waste recycler). This study aims to investigate how the level of risk aversion of the green innovation-led enterprise affects CDW resource utilization under different green innovation contexts based on contingency theory.

Using Stackelberg game theory, this study establishes a decision model consisting of a building materials remanufacturer, construction waste recycler and CDW production unit and investigates how the level of risk aversion of the green innovation-led enterprise under different green innovation contexts influences the performance level of the supply chain.

The conclusions are as follows. (1) For the green innovation-led enterprise, the risk-averse behaviour is always detrimental to his own profits. (2) For the follower, the profits of the construction waste recycler are negatively correlated with the level of risk aversion of the green innovation-led enterprise in the case of a small green innovation investment coefficient. If the green innovation investment coefficient is high, the opposite result is obtained. (3) When the green innovation investment coefficient is low, the total supply chain profits decrease as the level of risk aversion of the green innovation-led enterprise increases. When the green innovation investment coefficient is high, total supply chain profit shows an inverted U-shaped trend with respect to the degree of risk aversion of the green innovation-led enterprise.

(1) This study is the first to construct a green innovation context led by different enterprises in the CDW resource utilization supply chain, which provides a new perspective on green management and operation. (2) This study is the first to explore the operation mechanism of the CDW resource utilization supply chain based on contingency theory, which provides new evidence from the CDW resource utilization supply chain to prove contingency theory. At the same time, this study examines the interactive effects of the green innovation cost coefficient and the degree of risk aversion of green innovation-led enterprises on the performance of supply chain members, expanding the contingency theory research on contingencies affecting enterprise performance. (3) This study will guide members of the CDW resource utilization supply chain to rationally face risks and achieve optimal supply chain performance.