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As a little research has been conducted to understand the factors influencing users’ intentions to adopt blockchain-based telemedicine (BBT), it is important to investigate BBT acceptance as incorporation of blockchain technology can solve telemedicine-related issues. Accordingly, this study aims to investigate the factors influencing behavioral intentions (BI) to adopt BBT.

An integrated model comprising the constructs taken from technology–organization–environment framework, technology acceptance model, unified theory of acceptance and use of technology and theory of planned behavior based on their relevance to the context and the objectives of the study has been used for this research. A quantitative approach has been used to test the hypotheses, for which the data was collected from 324 respondents through a self-administered questionnaire. Partial least squares structural equation modeling has been used to test the hypotheses.

The results of the study show that relative advantage, perceived usefulness, trust and perceived ease of use have a significant impact on BI to adopt BBT, whereas regulatory support, subjective norms and facilitating conditions do not have any significant impact on the same.

As the concept of BCT in Pakistan is at its nascent stage and literature regarding this technology’s adoption is also limited, researchers and scholars can apply it to several other fields in Pakistan. For example, this study can be extended to explore the factors influencing blockchain adoption in areas such as education, logistics, transportation, finances and management. This research only considers the direct effects of constructs on BI to adopt BBT and does not consider any mediation and moderations constructs. Future researchers can also study the influence of mediation and moderation constructs on BI to adopt BCT.

Although studies on the acceptance of telemedicine exist, there is a gap concerning the acceptance of BBT, which the current study helps to bridge. From a practical standpoint, the current study makes a highly valuable contribution toward understanding acceptance factors for BBT projects, leading to help policymakers devise policies to promote telemedicine.

This paper aims to provide insights into service innovation (SI) during the COVID-19 crisis and its potential impact on tourism development in the medium-to-long term. The pandemic had a devastating effect on the industry, requiring immediate mitigation. It is yet to fully establish the impact of SI in the face of the COVID-19 volatility, uncertainty, complexity and ambiguity (VUCA). This study discusses the potential link between SI and COVID-19 crisis mitigation and offers recommendations for tourism recovery.

This paper synthesizes empirical evidence on post-crisis tourism SI using a theory-based general literature review approach.

COVID-19 crisis spun various forms of SI, which emerged as a conventional solution to crisis prevention, encompassing the management of crisis-time competitiveness, revenue deficits and risk perception. However, resistance to innovative services is linked to situational conditions.

COVID-19 is an unprecedented crisis. Therefore, this study serves as a primer for further inquiry into SI. For instance, areas such as governance in tourism innovation and consumers' inclination toward innovation-driven services are underexplored.

SI acts as a situational facilitator, but its characteristics can impede or facilitate adoption. Moreover, the irrelevance of innovations in some environments is evidenced. Thus, practitioners must adopt a responsive learning approach in SI adoption. To mitigate the COVID-19 impacts, reconfiguration in SI, recovery marketing strategy, knowledge gap and governance will be critical interventions.

This paper is one of the first comprehensive discussions on the potential role of SI in mitigating the impact of COVID-19 on the THI.

Following the job demands-resources theory, this study investigates the role of female managers in enhancing employee well-being in terms of psychological health via workplace resources.

To accomplish this objective, we conducted a comprehensive literature review to identify key IPS. Subsequently, a fuzzy-based algorithm was employed to prioritize these skills. Following this, we developed an algorithm based on Extreme Gradient Boosting (XGBoost) to predict the quality of workers’ IC. The efficacy of the XGBoost model was assessed by applying it to three real-life construction projects.

Upon application of the model to the case studies, we made the following conclusions: (1) “Leadership Style,” “Listening,” “Team Building” and “Clarifying Expectations” emerged as significant skills and (2) the model accurately predicted workers’ IC quality in over 78% of the cases. This algorithm has the potential to preempt interpersonal conflicts, enhancing job-site productivity, team development and human resources management. Furthermore, it can guide construction managers in designing IPS training programs.

This study contributes to the existing knowledge by addressing the crucial connection between IPS and IC quality in construction projects. Additionally, our novel approach, integrating fuzzy logic and XGBoost, provides a valuable tool for IC prediction. By identifying significant IPS and offering predictive insights, this research facilitates improved communication and collaboration in the construction industry, ultimately enhancing project outcomes.

The purpose of the paper is to propose a novel Green-BIM team (GBT) through a framework that would be essential in mitigating barriers to Green-BIM integration.

An interpretive stance is adopted for this study. Through a qualitative survey, 25 experts with proficiency in green building construction and building information modelling (BIM) implementation were interviewed. Code-based content analysis was carried out using NVivo12.

The findings of this study signified the need for a GBT and proposed architect, client, Green consultant, designer (mechanical, electrical and plumbing [MEP], structural), BIM coordinator, engineer (MEP, structural), project manager, quantity surveyor and facilities manager to be involved in the team representing design phase, construction phase and operational phase.

The experts were limited to the Sri Lankan context; however, the findings can also benefit countries with socio-economic and cultural backgrounds similar to Sri Lanka.

Findings will be beneficial for policymakers and industry professionals to promote a BIM-enabled green building environment. The proposed GBT model extends existing theoretical frameworks, emphasising the need for a multi-disciplinary team throughout the entire lifecycle of a green building.

The proposed GBT model aligns with broader societal goals related to sustainable development. This approach provides a sustainable pathway to achieve economic goals for all stakeholders in the construction sector.

There is a dearth of literature on a GBT to improve the construction of green buildings in Sri Lanka. Thus, the developed model is unique as it presents a novel GBT for the Sri Lankan construction sector. Further, it elaborates roles and responsibilities of team members with comprehensive details on how to mitigate the barriers to Green-BIM integration.

Cost overruns are an inevitable issue in design and build (D&B) projects. In D&B projects, causes for cost overruns can be managed by adopting appropriate building information modelling (BIM) functions. Because there is a research gap in synergy between the use of BIM for mitigating cost overruns in D&B projects, this study aims to evaluate the adaptability of BIM to manage cost overrun issues in them.

Research objectives were attained through a quantitative research approach adopting the Delphi technique, which consists of three rounds of a questionnaire survey. Through statistical tools, the collected data were analysed.

This research revealed the ten most crucial causes for cost overruns in D&B projects, where continuous changes in designs and drawings are the top causes. Change and revision management and interoperability are the most crucial BIM functions to address the aforementioned cause. Subsequently, 16 enablers, 26 barriers and 19 strategies to implement BIM to manage the identified significant causes of cost overruns were overviewed.

This study addresses the literature gap pertaining to the cost overrun in D&B projects and the application of BIM by studying the causes for cost overrun, suggesting BIM functions to mitigate the above cause. Moreover, this study assessed the probable barriers and enablers for BIM adoption in construction projects from D&B perspective.

The purpose of the this study is to discover the impact of practices of knowledge management, intellectual property protection and management innovation on entrepreneurial leadership, which in turn leads to sustainable growth in small and medium-sized enterprises.

The data was collected from 292 small and medium-sized businesses (SMEs) in the USA using a cross-sectional survey. To evaluate the study hypotheses and analyse the data, structural equation modelling was used. SMART-PLS software was used for both confirmatory factor analysis and structural analysis.

The work has significantly contributed in revealing that knowledge management practices, management innovation and intellectual property protection have a substantial and constructive impact on entrepreneurial leadership, which in turn leads to sustainable growth in SMEs.

The study findings recommend that SMEs must focus on knowledge management practices, intellectual property protection and management innovation to nurture entrepreneurial leadership, which can lead to sustainable growth. SMEs can benefit from investing in knowledge management practices, protecting their intellectual property and innovating their management practices to achieve sustainable growth. Also, the absorptive capacity of an SME can help it to aggravate the impact of the above factors and lead them to sustainable growth faster.

The current work studies the association between knowledge management practices, intellectual property protection, management innovation, entrepreneurial leadership and sustainable growth in SMEs, thus contributing to the literature. The study provides insights into the factors that can nurture entrepreneurial leadership and contribute to sustainable growth in SMEs, which can inform policy and practice in the field of entrepreneurship.

Construction accidents cause as much harm in Bangladeshi construction as it does globally. This study examines the primary causes of accidents and undertakes an impact assessment of neglecting safety protocols in construction projects in Bangladesh, funded publicly, privately and through a Public-Private Partnership (PPP).

Research was initiated with a comprehensive questionnaire from experts, sourcing data in Bangladesh's construction sector. Data analysis utilized Cronbach's alpha, relative important index and a fishbone diagram for causal visualization.

The study identified the three major causes of safety negligence as “Poor safety culture (RII = 0.857),” “Top management's inattention (RII = 0.825)” and “Lack of personal care (RII = 0.825).” Effects: “Rising project expenses (RII = 0.88),” “Increased medical costs (RII = 0.87)” and “Worker compensation expenses (RII = 0.87).” The study also used the Ishikawa-Fishbone and effect-flow diagrams to highlight accident causes/effects and compare their primary causes in PPP, public and private projects.

Research on construction safety in Bangladesh has mainly focused on identifying factors within specific construction sectors. Since the rules and regulations vary across these three sectors, different health and safety hazards may arise. As a result, this research fills a critical gap by providing a comparative study that examines the causes and impacts of different project types in the Bangladeshi construction industry. By pinpointing the result, this research aims to enhance the safety and well-being of the construction workers sector-wise, thereby contributing to the industry's sustainable growth.

Strategic leveraging of Mobile Commerce (M-commerce) holds immense potential for augmenting firm performance within the realm of Small and Medium Enterprises (SMEs) in Malaysia. This study seeks to unravel the important role played by specific factors, namely, relative advantage, security, complexity, firm performance, organizational competence, M-commerce knowledge, competitive pressure, customer value and information intensity in influencing M-commerce adoption and its subsequent impact on SME performance. Drawing on the Technology-Organization-Environment (TOE) framework, the study posits that technological factors (relative advantage, security and complexity), organizational factors (organizational IT competence and M-commerce knowledge) and environmental factors (competitive pressure, customer value and information intensity) collectively shape M-commerce adoption, thereby influencing SME performance.

The study employs a quantitative approach, engaging SME owners in Malaysia as participants, with a sample size of 150 selected through an online survey. Analysis was conducted using Smart PLS, revealing crucial insights.

The investigation revealed a positive relationship between relative advantage, security, complexity, competitive pressure, customer value and information intensity, and the adoption of M-commerce within SMEs in Malaysia. Moreover, a positive relationship was identified between M-commerce adoption and firm performance among Malaysian SMEs. Intriguingly, there was no discernible relationship between Organizational IT competence, M-commerce knowledge and the adoption of M-commerce.

This research contributes to the scant literature exploring SMEs’ inclination toward M-commerce for performance enhancement. The proactive adoption of M-commerce stands poised to empower SMEs in Malaysia, enabling them to play a more substantial role in the national economic structure. Consequently, it emphasizes the need for effective communication of government policies pertaining to M-commerce adoption, particularly among SME stakeholders.

The promotion of sustainable design is demanded globally. The life cycle assessment (LCA) proved its reliability in this mission, but the difficulty and time required to apply it discouraged designers. This research aims to integrate LCA into the building design process through a software tool, taking advantage of generative design features. This will facilitate decision-making by architects and construction professionals.

The study develops the EGY-LCA (http://egy-lca.com/). This prototype tool suggests exterior wall design alternatives for residential buildings in Egypt, using the environmental impact indicators of LCA data and other criteria related to national codes, materials, construction methods and required thermal resistance. Within a generative design process, the algorithm tests every possible wall method with materials and thickness combinations for each layer in compliance with inputs. The paper begins by explaining the tool’s working method. Afterward, different sets of inputs are examined and the values of the resultant environmental impacts of several suggested wall solutions are statistically analyzed. The application demonstrates the importance of the generative design tool. Proposing several solutions based on a set of inputs facilitates the selection of sustainable choices and allows comparisons between alternatives.

The prototype experiment confirms the research hypothesis. Unlike the available LCA tools, architects can make decisions with limited LCA experience if the data and equations are integrated into a generative design tool. The prototype proves its applicability for exterior wall alternatives.

The prototype is the initial step toward a whole-building LCA tool. It includes limited LCA stages and materials for the external wall. Future research is required to expand this parametric tool concept to include all the building components. The framework in Section 5 proposes a visualization.

The prototype tool: EGY-LCA (http://egy-lca.com/). The value added to the design and construction sectors through the uncomplicated LCA application is fostering sustainable design, generative design tools can achieve this.

The novelty of this work is that it is the first initiative offering a parametric LCA tool. It promotes the application of LCA at the design stage using generative design, which contributes to sustainable development.