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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.

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.

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.

A novel facet of the construction industry's (CI) digital transformation relates to the rise of smart contracts, and the contribution of blockchain technology in this domain appears to be nascent but rapidly gaining traction. Although the benefits of digitalisation for technologically less enthusiastic CI are irrefutable, the adoption of smart contracts has been found to be low pertaining to industry professionals' behavioural factors stimulated by technological perception. The challenge undertook by this study, therefore, is to develop a knowledge framework for blockchain-enabled smart contract adoption in the CI.

From a methodological perspective, this study employed a qualitative approach that involved semi-structured interviews with ten (10) highly experienced CI practitioners involved in digital innovations for data collection. Directed content analysis was performed using NVivo 12 software, which enabled the creation of preliminary open codes. Subsequently, these open codes were grouped into similar categories to develop axial codes. Finally, the study presented final themes along with their corresponding descriptions.

Notably, research findings expanded the current body of knowledge on perceived attributes and their measurement items to determine the perception of innovation adoption in CI, where a total of nine (9) perceived attributes were associated with thirty-two (32) measurement items.

The measurement items were seen as having an extensive impact on the CI professionals' decision to adopt blockchain-enabled smart contracts. With ensuing implications, this study represents one of the first to present a knowledge framework exclusively customised for blockchain-enabled smart contracts, laying the groundwork for effective technological adoption by CI professionals.

The purpose of this study is to comprehend the influence of the organisational culture on knowledge management (KM) in an automated construction environment.

An abductive research approach is used, constantly matching theories and observations on KM and organisational culture in testing the influence within a building information modelling (BIM)-enabled environment. A questionnaire survey is used for the primary data collection. Simultaneously, expert interviews are conducted to find the rationale through triangulating data. The primary data analysis is conducted through relative importance index (RII) calculation and content analysis.

The analysis has declared an increment in the level of influence of culture on KM in a BIM-enabled environment when compared to the conventional construction environment. Coordination and integration, strategic direction and intend and organisational learning are the leading cultural factors that have an increased influence on KM with RII values of 0.8730, 0.8540 and 0.8222, respectively. Because BIM is a technology-infused solution in the construction industry, it can be concluded that technical implementations positively shape the organisational culture to improve the KM process.

The data collection and findings of this research paper regarding the influence of organisational culture on KM are limited to scenarios in the construction industry. Yet, these findings could be implied to similar industries as well, when the KM process is under question.

The study provides the perception of knowledge in terms of the technological implementations such as BIM and organisational culture in the construction industry.