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Medical disruptive innovation is essential for deepening the reform of health-care system. The theory of general disruptive innovation assumes that innovations can diffuse by benefiting and attracting consumers through observed and objective relative advantages. Yet decision-makers for adoption in health-care settings are safety-sensitive professionals whose cognitions barriers about underperformance in focal attributes will impede further evaluation of innovation's ancillary performance. Existing studies do not answer the question of how such innovations can overcome safety barriers, find early adopters and grow to the early majority. The purpose of this study is to investigate the process, mechanism, and path of early diffusion of medical disruptive innovation.

The authors conduct a longitudinal case study of the diffusion of Enhanced Recovery After Surgery (ERAS) in China during 2011–2018.

The authors find that the diffusion process of medical disruptive innovations can be viewed as a cognitive evolutionary process that sequentially establishes conformity, differentiation and normalization. Cognition reframing of expert, meaning and benefit for professionals is its implicit mechanism. When adoption may trigger cognitive concerns, actors’ very early (dis)adoption is driven by a combination of structural position, innovation attributes and performance perceptions; central actors then play amplifier roles in the development from early adopters to the early majority.

This study proposes a process theoretical framework for the early diffusion of disruptive innovation. By dissecting the key processes and mechanisms from a cognitive perspective, the study offers theoretical contributions and practical insights into the diffusion of disruptive innovation in professional settings.

The construction industry (CI) has been identified as one of the most challenging sectors for stakeholders to achieve organizational success. Although previous studies had examined both organizational leadership (OL) and employee well-being (EWB) in the CI, a bibliometric and systematic analysis of published articles is hitherto lacking. Therefore, this paper aims to conduct a bibliometric and scientometric review of published articles related to OL and EWB in the CI between 2008 and 2022.

A three-step method consisting of a bibliometric analysis, a scientometric analysis and an in-depth discussion were used. A total of 1,114 articles met the inclusion criteria. All articles were retrieved from the Scopus database.

The results present an in-depth discussion of the research publication trends, keywords co-occurrence analysis, document analysis and countries/regions analysis. This review paper identified three main research gaps in OL and EWB in the CI, namely, project management, technology innovation and people orientation. It also proposes “OL-EWB in the CI”' mechanisms and a theoretical framework to guide future research directions.

This review paper theoretically fills the gap in the lack of research summarizing OL and EWB in the CI and provides research gaps and trends for achieving a win-win situation for both companies and employees.

This study aims to fabricate the reduced graphene oxide (rGO)/ethylene vinyl acetate copolymer (EVA) composite films with electric-driven two-way shape memory properties for deployable structures application. The effect of dicumyl peroxide (DCP) and rGO on the structure and properties of the rGO/EVA composite films were systematically investigated.

The rGO/EVA composite films were fabricated by melting blend and swelling-ultrasonication method, DCP and rGO were used the crosslinking agent and conductive filler, respectively.

The research results indicate that the two-way shape memory properties of rGO/EVA composite films were significantly improved with the increase of DCP content. The rGO endowed rGO/EVA composite films with excellent electric-driven reversible two-way shape memory and anti-ultraviolet aging properties. The sample rGO/EVA-9 can be heated above Tm within 8 s at a voltage of 35 V and can be heated above the Tm temperature within 12 s under near-infrared light (NIR). Under a constant stress of 0.07 MPa, the reversible strain of the sample rGO/EVA-9 was 8.96% and its electric-driven shape memory behavior maintained great regularity and stability.

The rGO/EVA composite films have potential application value in the field of deployable structures.

With the increase of DCP content, the two-way shape memory properties of rGO/EVA composite films were significantly improved, which effectively solved the problem that the shape memory properties of EVA matrix decreased caused by swelling. The rGO endowed rGO/EVA composite films with excellent electric/NIR driven reversible two-way shape memory properties.

The purpose of this article is to investigate the influence that firm-specific characteristics, such as organisational capabilities, risk management methods and stakeholder relationships, have on political risks (PRs) that are associated with multinational construction projects in Pakistan.

The methodology employed in this investigation involved the acquisition of data through the use of questionnaires administered to experts in the construction industry. The research applied a quantitative method, and the sources of the data are from the Pakistani stakeholders. One hundred questionnaires were used for the data collection during field visits. Based on the data, it has been ensured that the valid questionnaires were utilised, and the data were tested for validity and reliability. The analysis tool utilised was SPSS software. For the questionnaire, a total of 15 firm-specific factors were considered in order to design the survey, which specifically targeted the identified features. The factors identified as risks were investigated using quantitative method to determine firm-specific risks.

It was found that when stakeholders have a better grasp of these dynamics, they are better able to strengthen their resilience and efficacy in managing PRs, which ultimately increases the likelihood that the project will be successful.

International construction projects (ICPs) in emerging countries are substantially impacted by PRs, which can have a considerable impact on their success and sustainability. The study is localised and not generic as it is limited to Pakistan, and the risk factors considered are firm-specific but related to PRs.

By identifying key risk factors, these firms can develop targeted risk management strategies, leading to enhanced decision-making and more efficient resource allocation. Effective strategies include diversification, local partnerships and comprehensive risk assessments tailored to the unique challenges faced by international contracting firms in Pakistan.

ICPs in emerging countries like Pakistan face critical problems, which include the presence of PRs. Although the larger political environment plays a significant part, the manner in which businesses navigate and mitigate PRs is also influenced by firm-specific elements.

The study is novel in terms of the factors looked at, the data, the conceptual framework and the findings of the study. The dynamic political scene, which is characterised by instability, policy changes, corruption and geopolitical conflicts, poses significant dangers to the timeliness of projects, the expenses of such projects and the investments that are made in those projects.

This study explores the spatial adaptive changes to different ancestral origins of Korean vernacular houses in Northeastern China and discusses the influence of changing family patterns on spatial capacity.

This study uses quantitative and comparative methods to explore changes to space arrangement, space area, and furniture forms in Korean vernacular houses. This study also explores the correlation between changes in family patterns and the changing characteristics of spatial capacity.

The results elucidate the changing characteristics of Korean houses' spatial capacity. While the changing individual needs of Korean family members have led to increased spatial accessibility, there is a weak correlation variability in remodelling outcomes and changes in individual needs. Moreover, the per capita living area of Korean vernacular houses has increased, and furniture forms tend to be simpler, smaller, and more integrated. These developments reflect the changes in the way of life, production, and family structure.

This study provides a unique perspective on the sociology and architecture of ethnic minority families in China. Its results can help architects and construction firms more intuitively understand Korean houses. This study also provides a reference for the future renewal of Korean houses in the region.

Although a growing number of studies have examined Korean vernacular houses and family patterns, none have explored the impact of changing family patterns on the spatial organisation of different ancestral origins of Korean vernacular houses. Therefore, this novel study addresses this gap, enriching the literature and providing practical insights.

Grassland degradation is a global ecological issue that inevitably leads to low livestock production efficiency (LPE). Adoption of appropriate technology is an effective way to improve productivity. However, the rate of technology adoption among herders in less developed pastoral areas is low. Therefore, it is critical to improve the level of technology adoption in order to increase LPE.

Based on remote sensing data and survey datasets of herder households in China’s Qinghai–Xizang Plateau, this paper innovatively constructs a stochastic production frontier model incorporating grassland productivity (i.e. grassland total net primary productivity) to accurately evaluate LPE and uses fractional regression models to determine the impact of technology adoption on LPE.

The results show that grassland productivity is essential to estimating LPE, and failing to account for it will result in overestimation. Technology adopters have a technical advantage with respect to average LPE (0.596) when compared with non-adopters (0.540), and technology adoption positively contributes to LPE. Furthermore, compared with profit-seeking technology, pro-environmental technology contributes more to improving LPE, and the combined adoption of both technologies leads to a markedly greater enhancement in LPE.

Few studies have empirically analyzed the economic benefits of technologies that most smallholders can afford, and few measure LPE considering grassland productivity. This study fills these gaps, and the findings are highly relevant for policies aimed at encouraging technology adoption and facilitating more efficient livestock production.

To explain the perception of post-pandemic managers concerning two critical factors of collaborative management in the supply chain – information exchange and risk sharing – and how these factors affect risk management (RM) and decision-making.

This study used correlational research supported by information collected through a survey applied to 243 companies. We analysed adherence to a theoretical model proposed through structural equation modelling. This method made it possible to examine multiple dependency and independence relationships between latent variables through observed variables.

Collaborative management was strongly perceived as influencing the exchange of information, while risk sharing demonstrated only a weak influence. Exchanging information about the consequences of RM had a representative impact, while risk sharing indicated little influence. Risk sharing should thus possibly be viewed more carefully in terms of its relationship with supply chain management, as it had a restrictive impact on decision-making.

The experience of the COVID-19 pandemic may have changed the perception and ways companies relate to and manage their risks. This change may have affected collaboration, sharing and RM while imposing new perspectives and transforming managers’ decision-making behaviour. Given the limitations of research with this focus, the moment is opportune to explore and better understand the effects of this event on management.

This study aims to clarify the psychological mechanism of international contractors' fraud by linking performance pressure to fraudulent intention through the displacement of responsibility and addressing the moderating role of moral intensity.

Based on moral disengagement theory, performance pressure was hypothesized to be positively associated with fraudulent intention by mediating the displacement of responsibility. Drawing on the issue-contingent theory, moral intensity was hypothesized to inhibit the relationship between performance pressure and displacement of responsibility in three aspects: magnitude of consequences (MC), probability of effect (PE) and social consensus (SC). The scenario-based questionnaire was conducted to collect information from contractors spread across 50 countries. The partial least squares structural equation modeling was employed to assess the proposed model.

The results demonstrated that performance pressure was positively associated with the fraudulent intention, and displacement of responsibility exerted a positive partial mediating impact between performance pressure and fraudulent intention. Regarding moral intensity in the moderating analysis, the negative moderating role of MC and PE was significant, while that of SC was insignificant.

This study provides international construction practitioners with a deep understanding of the formation mechanism of fraud at the psychological level.

It clarifies the psychological mechanism from performance pressure to fraudulent intention by integrating a mediation impact from the displacement of responsibility and a moderation effect from MC and PE. It contributes to the sparse research on how situational factors shape individuals' fraudulent intentions in the international context. It provides a fresh perspective on fraud by constructing a formation model from moral psychological theories.

Social media platforms (SMPs) are pivotal in information dissemination and molding public opinion. Various platforms exhibit differences and characteristics. It is necessary to compare and analyze the roles played by different platforms in the evolution of public events.

This study develops a framework to evaluate the role of SMPs at different stages of public events. To calculate some of these indicators, the GPT-AP-TextRank topic model is constructed. The study further analyzes the correlation between indicators at different stages and SMP’s role and compares SMP’s different roles among the four stages.

The results reveal significant disparities in the role of different SMPs during public events. Weibo demonstrates notable performance during the outbreak, spread and recession stages of the event, exhibiting a strong influence on public event evolution. Bilibili, Douban, Zhihu and Baidu Tieba show relatively ordinary roles. In addition, compared to the spread stage, SMPs exhibit a stronger ability to influence event redirection in the initial stage, which is different from the original assumption of the study.

The findings expose the powerful roles of SMPs in event evolution, providing valuable insights for enhancing public event governance.

This study proposes an evaluation method for SMPs’ role and introduces a novel GPT-AP-TextRank topic generation model for the indicator calculation.

Accurate prediction of the structural condition of urban critical infrastructure is crucial for predictive maintenance. However, the existing prediction methods lack precision due to limitations in utilizing heterogeneous sensing data and domain knowledge as well as insufficient generalizability resulting from limited data samples. This paper integrates implicit and qualitative expert knowledge into quantifiable values in tunnel condition assessment and proposes a tunnel structure prediction algorithm that augments a state-of-the-art attention-based long short-term memory (LSTM) model with expert rating knowledge to achieve robust prediction results to reasonably allocate maintenance resources.

Through formalizing domain experts' knowledge into quantitative tunnel condition index (TCI) with analytic hierarchy process (AHP), a fusion approach using sequence smoothing and sliding time window techniques is applied to the TCI and time-series sensing data. By incorporating both sensing data and expert ratings, an attention-based LSTM model is developed to improve prediction accuracy and reduce the uncertainty of structural influencing factors.

The empirical experiment in Dalian Road Tunnel in Shanghai, China showcases the effectiveness of the proposed method, which can comprehensively evaluate the tunnel structure condition and significantly improve prediction performance.

This study proposes a novel structure condition prediction algorithm that augments a state-of-the-art attention-based LSTM model with expert rating knowledge for robust prediction of structure condition of complex projects.