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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.

Congruence serves as a key framework in many leader–follower dyad theories. This paper aims to introduce polynomial regression analysis with response surface methodology (PRA with RSM) as a statistical technique for investigating research questions concerning leader–follower dyadic relationships in the hospitality context.

First, this paper illustrates the necessity of applying PRA with RSM to more effectively address the research issues related to leader–follower dyadic relationships. Next, this paper presents an overview and the key concepts of PRA with RSM. Critical issues that need to be noted and two recent hospitality leadership studies that have used PRA with RSM are discussed. Third, an empirical example in the hotel context is provided to illustrate the application of PRA with RSM.

By applying this methodology to the study of hospitality leader–follower dyadic relationships, researchers will be able to address a range of topics related to dyadic theory, such as leader–member exchange and value congruence.

PRA with RSM reveals that congruence effects vary within leader–follower dyads. Industry professionals can promote a better leader–follower fit by incorporating dyadic surveys to understand mutual agreement and perceptions regarding same-workplace phenomena.

The paper addresses the misalignment between leader–follower dyadic theory and the methodology used in hospitality leadership studies.

Proper empirical tests of the effect of blockholders’ monitoring incentives on corporate governance are scant in the literature because the relationship between ownership structure and enforcement of corporate governance mechanisms is bidirectional. This study aims to address the endogeneity issue by examining the effect of blockholding on executive turnover–performance sensitivity, using the split-share-structure (SSS) reform in China as an exogenous shock to blockholders’ monitoring incentives.

This study uses a logit model for estimating the change in executive turnover–performance sensitivity around the SSS reform. Sub-sample analysis is conducted to examine whether the impact of SSS reform on the turnover-performance sensitivity is stronger for firms with more contestable blockholders who might consider stock liquidity, risk sharing and diversification in their monitoring/trading decisions.

Top executive turnover, defined as CEO or board chair turnover, becomes less sensitive to firm operating performance after the reform, mainly for firms with contestable blockholders prior to the reform. Stock liquidity and blockholders’ demand for diversification can explain the impact of contestable blockholding. Moreover, blockholding is sensitive to firm operating performance after the reform but not before it.

With few exceptions, most studies in the blockholding literature focus on the effect of blockholder monitoring on firm value. Examining an exogenous shock to blockholding, this paper provides a set of new evidence for the impact of blockholding on executive turnover–performance sensitivity. The results call for more evidence of the impact of blockholding on executive turnover from other markets.

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.

Although recent years have shown increasing popularity of e-commerce worldwide, there is still a lack of studies comprehensively exploring trust issue in e-commerce. Based on trust transfer theory and signaling theory, the purpose of this paper is to present an integrated research model to test the relationships between trust dimensions and e-loyalty, interactions among trust dimensions, as well as antecedents of different trust dimensions.

Data were collected through a web-based survey in Chinese markets and structural equation modeling with partial least squares was used to analyze the data.

The results identified that three trust dimensions all have significant impacts on e-loyalty, and relationships existed in different trust dimensions. Moreover, information quality and security protection are important factors determining institutional trust while store reputation is the most salient factor determining interpersonal trust.

This research contributes to the body of knowledge on trust by exploring the nature of trust with a multidimensional scale. Another theoretical contribution is the provision of a comprehensive understanding of the trust antecedents in e-commerce. Furthermore, this research benefits the companies doing e-businesses by allowing them to better understand how to improve consumers’ trust in the online environment and thus to retain and attract more loyal customers and succeed in online businesses.

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.

The purpose of this study is to examine how knowledge integration influences entrepreneurial firms’ frugal innovation in the service industry. This study builds a moderated mediation framework to investigate the effect of knowledge integration on frugal innovation via entrepreneurial bricolage and under moderations of competitive intensity and government support.

This study uses a two-wave survey study among 278 entrepreneurial firms from the service industry in China.

The findings reveal that knowledge integration positively influences entrepreneurial firms’ frugal innovation via entrepreneurial bricolage. Competitive intensity strengthens both the direct effect of knowledge integration on entrepreneurial bricolage and the indirect effects of knowledge integration on frugal innovation via entrepreneurial bricolage. Government support buffers the effect of entrepreneurial bricolage on frugal innovation but does not influence the indirect effect of knowledge integration on frugal innovation.

This study advocates for managers in entrepreneurial firms to cultivate knowledge integration to improve frugal innovation through activating entrepreneurial bricolage strategy and to pay attention to competitive intensity and government support in the transformation process from knowledge integration to frugal innovation.

While the link between knowledge integration and frugal innovation of entrepreneurial firms in the service industry remains unexplored in the fields of knowledge and innovation management, this study contributes to the knowledge and innovation management literature by exploring the mediating role of entrepreneurial bricolage based on a knowledge-based view and the moderation roles of competitive intensity and government support in this relationship.

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.

This study aims to develop a new method to treat the numerical singularity at the critical nodes of two skew coordinates, and optimize the leakage of micro herringbone grooved journal bearings (MHGJBs) with this method.

A side leakage numerical algorithm is proposed by using the skew meshes with a virtual node (SMVN) method to evaluate the effects of groove angle, bank/groove ratio, groove depth and groove number on load capacity, friction and side leakage of MHGJB.

The SMVN method is effective in treating the numerical singularity at the critical nodes of two skew coordinates. Besides, a group of optimized parameters of micro herringbone groove is obtained which can not only minimize the side leakage but also improve the load capacity and friction force.

A virtual node method was proposed, which can significantly improve the calculation accuracy in the side leakage model.

3D printing has been warmly welcomed by clothing enterprises for its customization capacity in recent years. However, such clothing enterprises have to face the digital transformation challenges brought by 3D printing. Since the business model is a competitive weapon for modern enterprises, there is a research gap between business model innovation and digital transformation challenges for 3D-printing garment enterprises. The aim of the paper is to innovate a new business model for 3D-printing garment enterprises in digital transformation.

A business model innovation canvas (BMIC), a new method for business model innovation, is used to innovate a new 3D-printing clothing enterprises business model in the context of digital transformation. The business model canvas (BMC) method is adopted to illustrate the new business model. The business model ecosystem is used to design the operating architecture and mechanism of the new business model.

First, 3D-printing clothing enterprises are facing digital transformation, and they urgently need to innovate new business models. Second, mass customization and distributed manufacturing are important ways of solving the business model problems faced by 3D-printing clothing enterprises in the process of digital transformation. Third, BMIC has proven to be an effective tool for business model innovation.

The new mass deep customization-distributed manufacturing (MDC-DM) business model is universal. As such, it can provide an important theoretical reference for other scholars to study similar problems. The digital transformation background is taken into account in the process of business model innovation. Therefore, this is the first hybrid research that has been focused on 3D printing, garment enterprises, digital transformation and business model innovation. On the other hand, business model innovation is a type of exploratory research, which means that the MDC-DM business model’s application effect cannot be immediately observed and requires further verification in the future.

The new business model MDC-DM is not only applicable to 3D-printing garment enterprises but also to some other enterprises that are either using or will use 3D printing to enhance their core competitiveness.

A new business model, MDC-DM, is created through BMIC, which allows 3D-printing garment enterprises to meet the challenges of digital transformation. In addition, the original canvas of the MDC-DM business model is designed using BMC. Moreover, the ecosystem of the MDC-DM business model is constructed, and its operation mechanisms are comprehensively designed.