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This paper reviews the pros and cons of different parametric modeling methods, which can provide a theoretical reference for parametric reconstruction of 3D human body models for virtual fitting.

In this study, we briefly analyze the mainstream datasets of models of the human body used in the area to provide a foundation for parametric methods of such reconstruction. We then analyze and compare parametric methods of reconstruction based on their use of the following forms of input data: point cloud data, image contours, sizes of features and points representing the joints. Finally, we summarize the advantages and problems of each method as well as the current challenges to the use of parametric modeling in virtual fitting and the opportunities provided by it.

Considering the aspects of integrity and accurate of representations of the shape and posture of the body, and the efficiency of the calculation of the requisite parameters, the reconstruction method of human body by integrating orthogonal image contour morphological features, multifeature size constraints and joint point positioning can better represent human body shape, posture and personalized feature size and has higher research value.

This article obtains a research thinking for reconstructing a 3D model for virtual fitting that is based on three kinds of data, which is helpful for establishing personalized and high-precision human body models.

This study provides a comprehensive overview of the research landscape of Kansei engineering (KE) within the domain of emotional clothing design. It explores the pivotal technologies, challenges and potential future directions of KE, offering application methodologies and theoretical underpinnings to support emotional clothing design.

This study briefly introduces KE, outlining its overarching research methodologies and processes. This framework lays the groundwork for advancing research in clothing Kansei. Subsequently, by reviewing literature from both domestic and international sources, this research initially explores the application of KE in the design and evaluation of clothing products as well as the development of intelligent clothing design systems from the vantage point of designers. Second, it investigates the role of KE in the customization of online clothing recommendation systems and the optimization of retail environments, as perceived by consumers. Finally, with the research methodologies of KE as a focal point, this paper discusses the principal challenges and opportunities currently confronting the field of clothing Kansei research.

At present, studies in the domain of clothing KE have achieved partial progress, but there are still some challenges to be solved in the concept, technical methods and area of application. In the future, multimodal and multisensory user Kansei acquisition, multidimensional product deconstruction, artificial intelligence (AI) enabling KE research and clothing sales environment Kansei design will become new development trends.

This study provides significant directions and concepts in the technology, methods and application types of KE, which is helpful to better apply KE to emotional clothing design.

The understanding of how to mitigate opportunism in construction projects is still limited and conflicting. The complexity of causalities and interdependence among antecedents of opportunism (transaction characteristics and governance mechanisms) is the major obstacle to current research. This study takes a holistic perspective to explore the different combinations of conditions that lead to high opportunism and low opportunism in project management.

Through 2 phases of the interview and questionnaire survey, the 91 valid survey data were collected from the buyer–seller relationships in construction projects and analyzed by adopting fuzzy-set qualitative comparative analysis.

A single transaction characteristic is rarely sufficient to explain opportunism, and combinations of different transaction characteristics and governance mechanisms (performance ambiguity, asset specificity, buyer's requirement certainty, informal control, and formal control) have different effects on opportunism. In the case of extremely unsatisfactory transaction characteristics, even the combination of formal and informal control cannot prevent high opportunism. The combination including low-formal control and high-asset specificity easily leads to high opportunism. Besides, performance ambiguity is a vital factor in mitigating high opportunism or achieving low opportunism.

Previous studies have always addressed the role of one or some factors independently and separately. This study is one of the first to explore the different combinations of conditions that result in high opportunism and low opportunism in project management based on transaction costs economics and agency theory.

Fun at workplace is considered an important initiative to build co-working communities, and this study aims to study its role in promoting the innovative behaviour of co-workers [members of co-working spaces (CWS)] and the mechanism of its influence.

Based on the theory of social exchange and resource conservation, the authors conducted a qualitative study to explore the four dimensions of workplace fun and a quantitative study to empirically analyse the relationship between community embeddedness, organisational embeddedness, workplace fun and creativity of co-workers, taking K-space as an example.

Workplace fun is positively correlated with co-workers' creativity. Community embeddedness plays a complete mediating role between workplace fun and organisational embeddedness. Community embeddedness and organisational embeddedness play a chain-mediating role between workplace fun and creativity.

This study explores the process and impact of fun on employee creativity in a shared office environment by clarifying the composition of fun in CWS workplaces and the transmission mechanism of fun through informal community embeddedness and formal organisational embeddedness, expanding the research perspective on the factors influencing employee creativity in the new office model and enriching the research findings on the impact of fun at work on job performance.

To improve the transmission efficiency and reduce the damage to pipes in the hydraulic systems of tunnel boring machine subjected to random vibration, this paper aims to propose a novel dynamic characteristic analysis method that considers random vibration.

A fluid-structure interaction motion equation of the pipe is established by using Hamilton’s principle. The finite element method and discrete analysis method of random vibration are used to construct a model of the dynamic behavior of the pipe.

The influences of fluid parameters and external excitation parameters on the dynamic characteristics of pipes are analyzed. The experimental results are found to be in good agreement with the simulation results, which demonstrates that the proposed analytical method can provide a theoretical reference for the design and selection of hydraulic pipes subjected to random vibration.

The proposed method can be regarded as a future calculation method for pipes subjected to random vibration, and the transmission efficiency of the pipe can be improved.

The purpose of this paper is to analyze stability of Jintan underground rock salt gas storage caverns during operation period. Some factors such as complex geological and operation conditions and high variability of physico‐mechanical parameters which will influence the safety of underground storage caverns are also considered.

In this paper, taking account of stability and sealability, numerical models of single cavern and two caverns for Jintan rock salt are established and calculated based on Mohr‐Coulomb criterion and damage‐dilatancy criterion. Response surface method combining with Monte Carlo method are adopted to calculate the failure probabilities of elements near the caverns. Various working conditions including different operation pressures and distances between caverns are also considered.

Shear failure is the main failure mode of Jintan underground rock salt gas storage caverns. The major failure area is located in the middle of the cavern. Reliability of the middle part of the cavern improves as storage pressure increases.

According to the simulation results on stability and sealability of caverns, the smallest internal operation pressure should be controlled strictly during the gas release process. Plastic area and failure probabilities of elements near the caverns increase obviously as the distance between caverns decreases. Damaged and dilatancy areas have the same trend. Twice the diameter of the cavern is recommended as the minimum distance between caverns.

The conclusions can be used as a guide during operation and design period of underground caverns.

Despite the amount of considerable investigations on business models, much studies have not been undertaken in the construction industry emphasising the adoption of green business models to drive sustainable construction. Construction activities continue to increase the carbon footprint and eject contaminated materials into the ecological environment with dire consequences for economic and social sustainability. As a result of the adverse impacts of construction activities, it is necessary for construction firms to rethink their approach to the use of conventional business models. The purpose of this study is to explore a framework for the adoption of green business models to drive sustainability in the construction industry of Ghana.

This research is exploratory due to its focus on emerging economies in which there is a perceptible gap in the adoption of green business models. As a result of this, this paper is entrenched in the interpretivist philosophical stance, which led to the adoption of the qualitative approach. Semi-structured interviews were undertaken involving 13 senior managers of construction firms. A thematic analysis was used with the aid of qualitative data analysis computer software package to code the interview transcripts.

The results demonstrate the six definitions of green business models among the managers of construction firms. The study also shows the need for developing green business models to address the issues of circularity and sustainability goals to reduce carbon footprints in the construction industry. Similarly, the paper found various sources of information to drive the awareness, understanding and adoption of the components for green business models. These sources include international conferences and training workshops on green business models. Finally, the study presents a framework that integrates the building information modelling (BIM) and the Internet of things (IoT) into the components for green business models adoption in construction firms.

There is a need to use the quantitative approach to undertake further empirical studies, as this paper focuses mostly on the qualitative approach to ascertain the nature of the relationship between green business model and the various components of the circular economy in the construction industry.

The study contributes to the existing knowledge on green business models by demonstrating six key pillars of green business models by the inclusion of digital technologies such as BIM and IoT, which hitherto this investigation have not been considered in the adoption of green business models in the construction industry. This study extends the existing knowledge on green business models, which has the potential to increase the awareness and understanding of practitioners and managers of construction firms.