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Off-Site Construction (OSC) has received much government and public attention during and after COVID. Building Information Modelling (BIM) is an initiative discussed widely to promote OSC implementation. Although many policy promotions have been published, there are many challenges to implementing BIM and OSC in real life and questions of whether they really offer value to healthcare design professionals. This research aims to investigate BIM and OSC to understand their commonalities and differences of challenges by collecting empirical evidence from China’s healthcare construction.

This exploratory research adopted a mixed method with a questionnaire survey and interviews. A total of 261 questionnaires were received (with 183 valid), followed by 31 semi-structured interviews.

This research reveals that although both OSC and BIM face similar adoption challenges and suspicious attitudes in real-life projects, their challenges’ connotations and reasons are different. OSC faces scepticism for its customisation costs and technical constraints, while BIM is seen as limited in utility and complex to integrate. Highlighting these as socio-technical challenges, the research advocates for an integrated framework to effectively implement OSC and BIM, addressing both technical and collaborative needs in healthcare construction.

This research examines OSC and BIM within the context of healthcare construction, a focus that is relatively underexplored. The research provides a juxtaposition of the perceived and practical challenges of adopting these technologies, revealing a gap between the industry’s expectations and the current capabilities of OSC and BIM, thereby contributing to the development of modern methods of design in healthcare.

Advanced manufacturing machines (AMMs) are searched as a momentous asset across the manufacturing societies for quenching and addressing the production units under economical circumstances, i.e. production of high-quality of goods under feasible cost. AMMs are significant in holding the managers against their rivals and competitors with high profit margins. The authors developed the decision support mechanism/portfolio (DSM-P) consist of knowledge-based cluster approach with a dynamic model. The purpose of research work is to measure overall economic worth of AMMs under objective and grey-imperfect (mixed) data by exploring the proposed DSM-P.

The authors developed the DSM-P that consist of knowledge-based cluster, three multi-criteria decision-making (MCDM) techniques-1-2-3 with complementary grey relational analysis-4(GRA), approach with a dynamic model (complied by technical plus cost and agility measures of AMMs). The proposed DSM-P enables the manager to map the overall economic worth of candidate AMMs under objective and grey-mixed data.

The presented DSM-P assist the managers for handling the selection problem of AMMs, i.e. CNCs, robots, automatic-guided vehicle, etc under mixed (objective cum grey) data. To enable the readers for intensely understand the work, the utility of proposed approach is displayed by illustrating a polar robot evaluation and selection problem. It is ascertained that the robot candidate-11 alternative is fulfilling the entire technical cum cost and agility measures.

The DSM-P provides more precise and reliable outcomes due to a usage of the dominance theory. Under the dominance theory, the ranks are obtained by MCDM techniques-1-2-3 are compared with ranks gathered by the GRA-4 under objective cum grey data, formed the novelties in presented research work. From a future perspective, the grey-based models in DSM-P can be built/extended/constructed more extensive and can be simulated by the same approach.

The purpose of constructing the technology/function matrix is to analyze the patents in the target domain. The extraction of technology words is an important part of the construction of technology/function matrix. This algorithm is used to solve the problem of low efficiency of traditional Chinese process patents technology words extraction.

The authors propose a Chinese process patents technology words extraction method based on the improved term frequency–inverse document frequency (TF-IDF) algorithm to help technicians obtain the technology words in the target domain. According to the characteristics of Chinese process patents technology words, the TF value of candidate technology words is divided into four parts, and the corpus of IDF value calculation of candidate technology words is selected.

Through the test of Chinese process patents in the domain of path planning, this study shows that the method is feasible and practical. It can help users quickly and accurately obtain the technology words of Chinese process patents in the target domain.

With the increasing number of patents on the network-based patent information platform, patent analysis of massive Chinese process patents has become a research focus. The method proposed in this paper can facilitate users to extract technology words from massive Chinese process patents for patent analysis.

This paper aims to improve the efficiency of Chinese process patents technology words extraction. The authors hope that the proposed method can reduce the labor and time cost of Chinese process patents technology words extraction.

Domain integrals, known as volume potentials in 3D elasticity problems, exist in many boundary-type methods, such as the boundary element method (BEM) for inhomogeneous partial differential equations. The purpose of this paper is to develop an accurate and reliable technique to effectively evaluate the volume potentials in 3D elasticity problems.

An adaptive background cell-based domain integration method is proposed for treatment of volume potentials in 3D elasticity problems. The background cells are constructed from the information of the boundary elements based on an oct-tree structure, and the domain integrals are evaluated over the cells rather than volume elements. The cells that contain the boundary elements can be subdivided into smaller sub-cells adaptively according to the sizes and levels of the boundary elements. The fast multipole method (FMM) is further applied in the proposed method to reduce the time complexity of large-scale computation.

The method is a boundary-only discretization method, and it can be applied in the BEM easily. Much computational time is saved by coupling with the FMM. Numerical examples demonstrate the accuracy and efficiency of the proposed method..

Boundary elements are used to create adaptive background cells, and domain integrals are evaluated over the cells rather than volume elements. Large-scale computation is made possible by coupling with the FMM.

The managerial questions of this paper are as follows: What are the equilibrium conditions of transfer price, quantity and profits when considering dynamic subsidies from the government? Which collection channel is better for a manufacturer, direct collection by itself or through an online platform?

This research investigates the three collection models: the manufacturer-driven model, the online platform-driven model and the competitive model. Based on the differential game, this research explores the transfer price, collection cost, subsidy and manufacturer and online platform profit in different models when considering the dynamic subsidy.

The results show that the collection strategy for the manufacturer depends on its collection cost. If the collection cost is lower, then the manufacturer may prefer to collect by itself. When the collection cost meets a certain range, the manufacturer may collect the used product through an online platform. The online platform-driven model is the most efficient because both the manufacturer and the online platform can make a higher profit.

This research bridges the gap between waste electrical and electronic equipment collection and government subsidies by demonstrating the dynamic condition of subsidies. It offers an approach to address the influence of dynamic subsidy, which can provide practical insights for the government implementing the subsidy policy.

The paper aims to address the organizational transformation of firms for value creation resulting from cloud computing (CC).

With reference to the theory of organizational fit, we modeled organizational transformation as a function of five aspects of CC practice: functionality, data management, roles and competences of information technology services, control and organizational culture. The output variable was tested against a set of input variables defined with reference to the technology–organization–environment (TOE) and technology acceptance model (TAM). Based on a sample of 487 companies in seven countries in Europe, Asia, and the United States, the authors distinguished two groups of firms: transformational and hyper transformational.

The results highlight the key factors that determine whether a firm falls into one of these two groups, and include perceived usefulness and perceived ease of use, complexity and compatibility of CC technology, and adequacy of resources. Top management support and government policy are found to only play a role for the transformational group while, surprisingly, vendor support had no impact for either group.

This research contributes to the literature on the role of digital transformation in value creation and on digitization of firms and organizational design, notably by considering the contribution of CC to the organizational dimension. To the best of the authors’ knowledge, this is the first study to make the link between TOE and TAM models and organizational fit theory, thereby going beyond the general approach to adoption found in information system research.

Based on sensory marketing theory and cognitive appraisal theory, this study investigates whether and how the background visual complexity of live-streaming affects consumers' purchase intention and reveals the underlying mechanisms through which background visual complexity influences consumers' purchase decisions.

The experiment was conducted with 180 college students, using eye-tracking technology to explore the impact mechanism of live background visual complexity on consumers' purchase intention, considering three types of background visual complexity (high vs medium vs low) and two levels of need for cognitive closure (high vs low).

Firstly, the background visual complexity of live-streaming positively influences consumers' purchase intention by eliciting positive emotions (pleasure and arousal), and the relationship between consumer emotions and purchase intention is nonlinear. Secondly, need for cognitive closure to significantly moderate the influence of background visual complexity on purchase intention.

The limited sample size makes it difficult to generalize to other consumer groups. Also, the study only focuses on one visual factor, lacking comprehensive analysis from multiple perspectives.

It is recommended that live e-commerce companies optimize the visual design of live-streaming backgrounds and identify consumer traits to match the visual complexity with consumers' level of need for cognitive closure, thereby stimulating positive emotions and facilitating more satisfactory shopping decisions.

This paper addresses an interesting and practical issue related to the effects of live background visual complexity on consumers' purchase intention.

The purpose of this paper is to seek to understand the differences in image repair strategies adopted by two governments that operate in the Western and Asian societies when faced with similar crises.

Textual analyses are presented of communication of Hurricane Katrina and Typhoon Morakot by the Taiwanese and US governments, respectively.

Faced with similar accusations of slow response, the Asian culture, represented by the Taiwanese Government, used predominantly mortification and corrective action strategies. The Western culture, represented by the US Government, used predominantly bolstering and defeasibility and a mixed bag of other strategies such as shifting the blame and attack the accuser.

A limitation of the study is that it depends on news reports, instead of news releases and speeches, for analysis. However, given the rapidity and volatility in the unfolding drama of each of the two crises, many of the comments made were to the media and not in prepared speeches. It is a limitation the authors accept.

Strategies reflected Hofstede's uncertainty avoidance and power distance dimensions. These dimensions should be considered when designing communication strategies in different cultures so as to be culturally sensitive and relevant.

Few, if any, studies on image repair theory have addressed the role of culture in strategies used. This study fills the gap by integrating Hofstede's cultural dimensions theory.

This study aims to investigate how the role of female leadership works in sports coaching. Drawing key insights from the ability–motivation–opportunity (AMO) framework of human resource management, the authors explore the underlying mechanisms of female leadership and the role female coaches play in enabling athletes to develop their self-initiative through AMO enhancement.

The sample in this study is made up of 11female coaches from eight teams in China selected using purposive sampling. Data was collected and analyzed on various aspects of female leadership.

Analysis of interviews and secondary data show that the mechanisms and enablers related to AMO enhancing practices stimulated by female coaching leadership can increase team performance.

This study opens new avenues for sports science research and strengthens the theoretical and practical understanding of the intentions and mechanisms female coaches implement as leaders in sports coaching.

First, this study contributes to the AMO framework by helping form new theoretical insights based on the understanding of female sports coaching mechanisms. Second, this study provides novel insights into female leadership literature by investigating the mechanisms of female leadership in the context of sports exercise. Third, this study also contributes to the body of research on sports coaching in Asia, especially that of Chinese women in such leadership roles.

This study aims to address the problem of the divergence of traditional inertial navigation system (INS)/celestial navigation system (CNS)-integrated navigation for ballistic missiles. The authors introduce Doppler navigation system (DNS) and X-ray pulsar navigation (XNAV) to the traditional INS/CNS-integrated navigation system and then propose an INS/CNS/DNS/XNAV deep integrated navigation system.

DNS and XNAV can provide velocity and position information, respectively. In addition to providing velocity information directly, DNS suppresses the impact of the Doppler effect on pulsar time of arrival (TOA). A pulsar TOA with drift bias is observed during the short navigation process. To solve this problem, the pulsar TOA drift bias model is established. And the parameters of the navigation filter are optimised based on this model.

The experimental results show that the INS/CNS/DNS/XNAV deep integrated navigation can suppress the drift of the accelerometer to a certain extent to improve the precision of position and velocity determination. In addition, this integrated navigation method can reduce the required accuracy of inertial navigation, thereby reducing the cost of missile manufacturing and realising low-cost and high-precision navigation.

The velocity information provided by the DNS can suppress the pulsar TOA drift, thereby improving the positioning accuracy of the XNAV. This reflects the “deep” integration of these two navigation methods.