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Although publicly listed firms in Sri Lanka have been increasingly adapting sustainability reporting into their annual reporting practices, a limited number of firms prepare sustainability reports by integrating sustainable development goals (SDGs) into reporting mechanisms. This study attempts to develop an index to monitor firms' sustainability reporting practices based on Global Reporting Institute (GRI) guidelines integrating SDGs.

This paper develops a sustainability score index using the 17 SDGs utilising the results of content analysis of corporate annual reports of a selected sample of 100 firms listed on the Colombo Stock Exchange (CSE). Principal component analysis was employed to examine the reliability of data in the developed index.

Findings show that the developed scoring index is efficient for evaluating the contents of the sustainability reports of Sri Lankan firms. Sustainability reporting practises with regard to the SDGs were observed to have a turbulent period from 2015 to 2019 and the SDGs 12 and 15 were identified to be mostly reported in Sri Lankan corporate sustainability reports.

The results of the study add to knowledge on the monitoring of sustainability reporting practises with reference to SDGs. The study outcomes are useful for the investors, stakeholders, and statutory bodies to measure the sustainable performance of business firms and assess the firm’s commitment towards the global sustainability agenda.

To the best of our knowledge, this is the first study that constructs a sustainability reporting score index integrating SDGs.

The average lifetime of a building in Iran is only one-quarter of the reported global average lifespan. A major reason why buildings in Iran have shorter service life is attributed to the inappropriate selection of the facility repair and maintenance (R&M) methods. Hence, selecting the appropriate R&M methods is critical in upholding or even extending the lifespan of the building. The purpose of this paper is to determine the main criteria for selecting the suitable R&M methods of commercial real estate (CRE) in Iran as a major challenge encountered by the Iranian construction industry.

The total number of identified criteria (related to the selection of the suitable R&M methods) is 16, which is divided into five clusters (referred as main criteria in this study): human resources; flexibility and technical capability; safety and risk; cost of maintenance; and facilities and technology. To analyze the identified criteria, the expert opinions were collected through both face-to-face interviews and distribution of Delphi survey questionnaires. A total of 12 industrial experts in the construction industry were invited to participate in a Delphi survey to solicit their perceptions and opinions on the identified criteria in this research.

The findings indicated that, among the five main criteria, the cost of maintenance is the most important criteria for selecting appropriate R&M methods of CRE in Iran. In addition, the criterion of facilities and technology was recognized as the least important among the main criteria.

The research, significantly, justified the configuration of non-compliance with the practice and its deliverables and developed a diagnostic study on the grounds of failure in the Iranian construction industry regarding the issues which are threatening the expected and desirable outcomes. The research achievements and suggested effective recommendations can serve as a useful policy and consultative instrument for the relevant stakeholders in the construction industry engaged in building R&M work.

Successful adoption of building information modelling (BIM) by early adopters is crucial for its effective diffusion. The purpose of this study is to develop a framework of understanding that supports contextualized understanding of BIM adoption decisions in a BIM infant industry. The framework bridges the gap in current knowledge in terms of the absence of such a framework, which has hindered the structured understanding of the BIM decision of an adopter, curtailing the appropriate strategizing of their BIM adoption.

The study focuses on a BIM infant industry, where early adopters begin using BIM, allowing insights into this crucial initial stage of adoption. Identifying affordances as a versatile concept that could effectively represent not only what an adopter perceives and expects from BIM implementation, but also, what the adopter, in fact, can achieve from it, an affordance-led framework of understanding (AFU) was developed to comprehensively capture varying dynamics of BIM decision process. The study took a qualitative retroductive approach to theory with semi-structured interviews to gather necessary data from a sample of BIM adopters purposively selected to maximize the breadth and depth of data.

The study concludes by identifying and defining pertinent affordances as a new concept and a compulsory state for BIM adoption. Findings further demonstrate that existing theories can be linked to the AFU to strategically direct the affordances dynamics towards the pertinent state.

The AFU enables a deeper contextualizable view of innovation adoption that was absent in existing innovation studies. It significantly enhances the precision of strategizing BIM adoption compared to previous approaches, enabling adopters to plan and implement BIM in a manner that aligns well with their expectations and specific conditions.

The widespread lockdown restrictions brought by the global COVID-19 epidemic inculcated a culture of “work-from-home”. However, most rural areas lack reliable and effective community amenities including transportation, health and education, thereby impeding healthy living and productive employment. Therefore, the underlying goal of this research is to investigate the development of smart infrastructure (SI) in non-urban areas. However, governments' resource limitations must be addressed to develop SI, which urges the research on the potential for public-private partnerships (PPP) to supplement public sector resources when necessary.

This paper examined and evaluated the “benefits and enablers” and “barriers” to deploying PPPs to create SI in non-urban areas, using a thorough literature review, five expert interviews and analytic hierarchy process (AHP)-based questionnaire responses. The AHP technique and content analysis were used to analyse the results and generate the conclusions.

The availability of a favourable investment climate and legal framework were identified as the significant factors among the “benefits and enablers” of adopting PPP in SI developments in non-urban areas, while low community acceptance of the private sector involvement, and community culture and values were identified as the significant factors among the “barriers”. These highlight the significance of removing barriers connected to community culture and “values”.

The findings and conclusions of this study provide a strong foundation to support the growth of SI in non-urban settings, facilitating more sustainable development that is more evenly distributed in the post-COVID-19 future.

The purpose of this paper is to select a suitable procurement method for steel building construction in Sri Lanka following a systematic method which weigh, both procurement selection factors and existing procurement systems.

An abductive research stance is followed in this empirical study. Procurement selection factors were selected through a critical literature review which was followed by a quantitative questionnaire survey. The collected data were analysed using descriptive statistical analysis and relative important index.

The critical literature review outlined 46 procurement selection factors, out of which 26 factors were very important in steel building procurement selection. Short construction period and higher constructability of design are ranked at the top with the highest priority rating factors. Management-oriented procurement system was selected as the most appropriate procurement system for steel building constructions within the Sri Lankan context.

The study is limited to widely use three procurement systems in Sri Lankan construction industry. Yet, the process followed in selecting the most appropriate procurement system could be applied for other contexts. The implications of the study are mainly identifying management-oriented procurement as the most suitable procurement method for steel building construction in Sri Lanka.

The systematic procedure of procurement method selection for steel building construction may use in the Sri Lankan construction industry to limit the resource loss due to wrong selection of procurement.

A study which critically and comprehensively presenting a procurement selection process for steel building construction is not recorded in Sri Lanka prior to this study.

Scaling up smart city infrastructure projects will require a large financial investment. Using public–private partnerships is one of the most effective ways to address budget constraints. Numerous factors have varying degrees of influence on the performance of Public private partnerships (PPP) projects; certain PPP factors are more crucial to the success of a smart city infrastructure project than others, and their influence can be greatly increased when they are fulfilled collectively. This study aims to find out what factors are unique to smart city PPP initiatives, as well as how these factors work together, so that successful smart city infrastructure PPP projects can be scaled up.

The methodology included three sequential stages: identifying the critical success factors (CSF) of PPP for smart cities based on an extensive literature review, collecting data from a sample of 90 PPP practitioners using a Likert scale questionnaire and estimating interrelationships among the CSF and their emergent clusters using structural equation modelling.

The best fit model developed in this study demonstrated the significance of each factor and their interrelationships within their categories in enhancing the performance of PPPs in smart city infrastructure projects. Five categories of critical success factors for PPPs in smart city infrastructure projects have been established: partnership and collaboration; financial sustainability; contractual duties and outsourcing; smart integration; and contract governance.

The proposed model represented the causal interrelationships among relevant critical success factors derived from literature, which may help in directing the organization’s attention and resources to more critical areas, leading to the effective fulfilment of the smart city infrastructure project’s objectives. In addition to the theoretical and methodological contributions, this study produced a usable and readily adaptable list and clusters of critical success factors for research in the area of the implementation of PPP in smart city infrastructure projects.

To the best of the authors’ knowledge, this is the first study to identify PPP critical success factors and their themed clusters for smart city infrastructure projects.

Rising human aspirations leading to rapid urbanisation, amidst climate changes and other environmental pressures have aggravated the needs for better-focused sustainable urban development in general as well as for smart and sustainable cities in particular. Indeed, smart infrastructure (SI) development is a prerequisite for smart cities (SCs). However, inadequate funding and expertise for such SI development pose profound challenges that may be partially addressed by mobilising private finance and efficiencies through collaborative public–private partnership (PPP) models. This paper provides a holistic review and analysis of the relevant literature, as a basis for proposing such PPP models for developing SI.

A systematic literature review helped to fulfil the aim of this paper in the first phase of the underlying longer-term study. Authoritative search engines like Scopus and Web of Science indexed articles were reviewed and analysed, 85% of these being journal articles.

SCs that necessarily include SI are important in overcoming current urban challenges in developing and developed countries. Given shortfalls in traditional procurement and funding models, special PPP models are required for SI development. After identifying the relevant needs, drivers, barriers and challenges in different countries, a general indicative framework is developed to illustrate how the various interacting force fields can be harnessed to develop the envisaged PPP models that can complement non-PPP procurement models.

PPP for SI development is a relatively new, hence, under-researched topic. This desktop review and analysis provide a useful launching pad for the development of SI through overcoming the potential challenges in traditional procurement and financial models.

A Digital Twin (DT) is a digital replica of an artefact which is updated on real-time or semi–real-time basis. In 2017, Gartner listed DT as one of the top 10 emerging technologies of the year. Since then, there have been numerous attempts to develop architecture and reference models for DTs, and in some studies, DT construction for real-world case studies is reported. This chapter attempts to provide a contextualised background on DT for smart cities. It also discusses various stakeholders involved in devising and/or employing DTs in a smart city. The chapter concludes with a set of recommendations for the training requirements of final DT users.

The amount of expenditure required to scale up smart infrastructure projects is often enormous. Public–private partnership (PPP) is one of the proposed and viable solutions for addressing the financial issues of smart infrastructure projects. However, the most important criterion in choosing PPP over other procurement methods is that the project under the PPP method should deliver the best value for money (VFM) while also including defined economic and social objectives, rather than relying exclusively on efficiency factors. While PPP provides a variety of advantages for developing infrastructure, significant challenges may arise as a result of smart infrastructure initiatives. Diverse PPP approaches have been used to build smart infrastructure around the world, with varying degrees of success. The purpose of this study is to identify the VFM factors that are suitable for smart infrastructure projects and to examine the impact of their interrelationships.

The methodology for this study consisted of three stages: identifying VFM factors in PPP for smart cities based on an extensive literature review, analyzing data from a sample of 90 PPP practitioners using a Likert scale questionnaire and estimating interrelationships among VFM factors using structural equation modeling (SEM).

After performing a SEM analysis on the gathered data, the best fitted measurement model consisted of 11 VFM factors acting as indicators of three latent variables for smart infrastructure projects (clear output specification for measuring performance, efficient dispute resolutions, optimized risk allocation and business models, improved and integrated community services, economic sustainability, appropriate capital structure and collaterals, smart asset management, diffusion of smart technologies, technical innovation, Ince) and three clusters of their interrelations (economic sustainability, integration drive, optimization and smart technology).

This research has resulted in a useful and readily applicable list of factors and clusters of value for money criteria for the implementation of PPP in smart infrastructure projects, assisting public sector management by providing a measure of pre-conditions that can be used as an assessment tool when determining whether a PPP should be used instead of conventional methods.

In addition to the theoretical and methodological contributions, this study produced a usable and readily adaptable list and clusters of value for money factors for the implementation of PPP in smart infrastructure projects.

Building information modelling (BIM) claims to be spearheading the modern technological revolution in the global construction industry. While scholars have emphasised the cruciality of BIM, associated costs have been identified as one of the major barriers to successful BIM implementation, as is the case in Sri Lanka. Besides, lean principles (LPs) are known for increasing efficiency, quality and eliminating waste, thereby reducing overall costs. Hence, this research aims at addressing the BIM implementation barrier associated with costs by applying suitable LP, enhancing overall value by minimising value-insignificant activities.

The study adopted a qualitative research approach. 10 experts with expertise in both BIM and LP were targeted for the primary data collection through semi-structured interviews. The collected data were analysed using manual content analysis.

Research findings discovered the cost centres that can be applied to the LPs and the effective LPs that can be applied with the cost centres of BIM implementation. The theoretical implication of the study is to provide insights into a potential application of LP for BIM cost centres, whereas practical consequences include the identification of LP's potential to minimise BIM cost centres, ergo, achieving a successful BIM implementation.

This study will be the first of its kind in the Sri Lankan construction industry, intending to apply LP with BIM implementation cost centres to achieve a successful implementation. This research also has paved the way forward for further research on the application of both the BIM and LP concepts for similar construction industries in developing countries across the world and in addressing other BIM implementation barriers.