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Prefabricated construction is an innovative technique for decreasing carbon emissions in the construction industry. However, as the investors of housing projects, a majority of developers are unwilling to adopt prefabricated housing in practice. To promote prefabricated housing, this study aims to develop an integrated framework of fuzzy-decision making trial and evaluation laboratory (fuzzy-DEMATEL) and system dynamics (SD) to understand the underlying influencing mechanism of developers' willingness.

Through literature review, a total of 17 influencing factors were identified. Then, the interrelationships among the factors were evaluated by 10 experienced professionals, and the impacts given and received by each factor were further analyzed through fuzzy-DEMATEL. Based on the technology acceptance model (TAM), a SD model was developed to explore the influencing mechanism.

The major cause factors were identified, including mandatory implementation policies, economic incentive policies, environmental protection policies, component standardization and developers' economic strength. This group of factors was expected to be given priority attention in the case of limited resources. On the other hand, the results indicated that economic incentive policies and mandatory implementation policies could affect the developers' willingness via perceived usefulness, while the others mainly influenced perceived ease of use.

Little research has focused on the interrelationships among the influencing factors of developers' willingness to adopt prefabricated housing. This study contributed to understanding the mechanism of developers' willingness from a systematic view and providing the priority of influencing factors. Several strategies were proposed to improve the practical implementation of prefabricated housing development.

This paper aims to focus on achieving triple-shape memory effect (triple-SME) of a commercial poly (ethylene terephthalate) (PET) film with the thickness of 100 µm.

The thermal characteristics and microstructure of PET film were characterized by differential scanning calorimetry, thermogravimetric analysis and wide-angle X-ray diffraction analysis. The dual-shape memory effect (dual-SME) of the PET film was then systematically investigated, and based on that, triple-SME in thin PET film was achieved.

Investigation of the dual-SME in PET film revealed the difference between recovery temperature and programming temperature reduced with increasing programming temperature. An obvious intermediate shape shifting between the original and final programmed shape was observed during shape recovery in triple-shape memory behaviors.

Compared with dual-SME in polymer, relatively less work has been done on multi-SME in polymer, especially in thin polymer film. In this study, triple-SME in a PET film was investigated based on the results of dual-SME of the film. The main implication of the study is on how to achieve a watermark between the final programmed pattern and the original pattern, for the application of shape memory polymer in anti-counterfeiting label.

Dual- and triple-SMEs were achieved in a PET film that is only 100 µm in thickness, and the underlying mechanism for the difference between programming temperature and recovery temperature was discussed. For the novel application of triple-SME in anti-counterfeit label, the watermark during shape recovery in triple-SME can effectively prevent duplication.

The Web 3D virtual display technology for personalized clothing based on Unity3D is studied in this paper. The framework of the technology is described. The development steps including personalized clothing design and modeling, interaction and virtual display technology based on Unity3D are given out. The purpose of this paper is to provide a feasible technical route and support for the virtual display for the customized products.

The paper opted for an exploratory study using the open-ended approach of grounded theory, including the Web 3D virtual display technology for personalized clothing based on Unity3D.

A feasible technical route for the virtual display of the customized products is provides in this paper.

This paper fulfills a software and has practical use.

Drawing on the conservation of resources theory, this study aims to apply the emotional labour concept to illustrate about the relationship between customer orientation (CO) and job burnout, further demonstrating how the relationship is established in the hospitality industry. This study intends to find that emotional intelligence moderates the relationship between CO and emotional labour.

The study uses descriptive statistical analysis and reliability analysis. Then, the study uses confirmatory factor analyses to ensure the model fit and discriminant validity of the measures. Finally, the hypothesised relationship model is tested and analysed via regression analysis.

The study finds three dimensions of emotional labour all partially mediated the relationship between CO and job burnout. Meanwhile, the study finds that emotional intelligence would moderate the relationship between CO and three dimensions of emotional labour.

First, the respondents in this study come from five-star hotels in Beijing, China. As the results of this study are based on a sample of Chinese five-star hotel employees, the selection of a single service setting and a single country may raise concerns for the issue of generalisability. Thus, the findings of this study may not generalise to other hospitality contexts, other cultures or other times; research in other settings, geographical areas or times might yield different results.

High employee job burnout is a thorny problem in the hospitality industry, so it is a great challenge for hospitality management to solve high employee job burnout. As a personality resource, CO will decrease job burnout. Emotional labour is a common issue in hospitality. The study intends to explore the lived experiences of the frontline employees in hospitality industry to explain the role of CO directives on employee job burnout in an emotional labour perspective. The results give suggestions for the hospitality management.

After reviewing of relevant literature, two research gaps are found. First, despite the amount of research showing a negative relationship between CO and job burnout, remarkably little is known about how these relationships are established. Second, a more important gap lies in overlooking the emotional nature of hospitality service work. The results of the study can fill the theoretical gap.

First, the recruitment and selection of frontline employees should incorporate an assessment of the level of CO. Second, hospitality management should teach and train the employees about the proper control of emotional labour. Third, the recruitment and selection of frontline employees should incorporate an assessment of the level of emotional intelligence; meanwhile, it is necessary to strengthen the emotional intelligence training.

The purpose of this paper is to examine whether the frontline employees’ emotional labour can illustrate the relationship between customer orientation (CO) and turnover intention in the hospitality industry. The study applies the job demands and resources (JD-R) theory to explain the relationship between variables in the proposed model.

The paper surveys a sample of 378 frontline employees in the hospitality industry.

The findings of this study show that the CO is strongly and positively associated with turnover intention. The three dimensions of emotional labour are all partially mediated with the relationship between CO and turnover intention.

The limitations of this study include the sample came from seven five-star hotels in Beijing, China. This study used perceptual self-reported measures, which may generate exaggerated relationships among variables. These issues are addressed in the analysis.

First, the recruitment and selection of frontline employees should incorporate an assessment of the level of CO. Second, hospitality management should train employees in the proper control of emotional labour.

Hospitality should make efforts to supply job resources, such as providing delicious food; more promotion opportunities; better training and recreation programs; more clarified job definitions; and position autonomy. Moreover, good interpersonal relationships, regular recreational activities and sharing working experiences with colleagues may be applied to cope with job demands.

This study is to explain the roles of the three dimensions of emotional labour (surface acting, genuine emotion and deep acting) in the relationship between CO and turnover intention. More specifically, this study demonstrates why hospitality employees with high (or low) CO have low (or high) levels of turnover intention applying the concept of emotional labour based on JD-R theory.

Collaborative emission reduction among supply chain members has emerged as a new trend to achieve climate neutrality goals and meet consumers’ low-carbon preferences. However, carbon information asymmetry and consumer mistrust represent significant obstacles. This paper investigates the value of blockchain technology (BCT) in solving the above issues.

A low-carbon supply chain consisting of one supplier and one manufacturer is examined. This study discusses three scenarios: non-adoption BCT, adoption BCT without sharing the supplier’s carbon emission reduction (CER) information and adoption BCT with sharing the supplier’s CER information. We analyze the optimal decisions of the supplier and the manufacturer through the Stackelberg game, identify the conditions in which the supplier and manufacturer adopt BCT and share information from the perspectives of economic and environmental performance.

The results show that adopting BCT benefits supply chain members, even if they do not share CER information through BCT. Furthermore, when the supplier’s CER efficiency is low, the manufacturer prefers that the supplier share this information. Counterintuitively, the supplier will only share CER information through BCT when the CER efficiencies of both the supplier and manufacturer are comparable. This diverges from the findings of existing studies, as the CER investments of the supplier and the manufacturer in this study are interdependent. In addition, despite the high energy consumption associated with BCT, the supplier and manufacturer embrace its adoption and share CER information for the sake of environmental benefits.

The firms in low-carbon supply chains can adopt BCT to improve consumers’ trust. Furthermore, if the CER efficiencies of the firms are low, they should share CER information through BCT. Nonetheless, a lower unit usage cost of BCT is the precondition.

This paper makes the first move to discuss BCT adoption and BCT-supported information sharing for collaborative emission reduction in supply chains while considering the transparency and high consumption of BCT.

The purpose of this study is to explore how digital construction policy (DCP) drives enterprise green innovation (EGI) from an information processing theory (IPT) perspective, including the mediating mechanisms of market information accessibility and operational risk, the moderating role of intellectual property protection (IPP) and product market competition (PMC) and the heterogeneous effects of ownership, Internet development and managerial ability.

Based on the matched panel data of A-share listed enterprises from 2011 to 2019 and the Broadband China policy as a quasinatural experiment, this study investigates the impact of DCP on EGI by constructing a multi-time point difference-indifferences (DID) model.

Digital construction policies can significantly promote EGI. DCP works in two fundamental ways, namely by increasing market information accessibility and reducing operational risk. IPP and PMC significantly increased the contribution of digital construction policies to EGI. Heterogeneity analysis found that digital technology has a stronger promotion effect for SOEs, high-managerial-ability enterprises and enterprises in regions with low Internet development levels.

The study provides new insights about the antecedents of EGI from a DCP perspective. It also enlightens emerging economies to actualize green innovation under the digital wave.

From the perspective of IPT, this study explains the mechanism of DCP-driven EGI. It enhances understanding of the relationship between DCP and EGI.

The paper aims to propose a model and a comprehensive diagnostic method of organizational health status based on traditional Chinese medicine (TCM).

The methodology is qualitative/interpretive and uses of the concept of functional homomorphism of WR Ashby is used, establishing similarities between the way in which this ancient medicine considers the human being and their condition as healthy to transfer it to an organization that produces goods and/or services.

A healthy organization is conceived as one constituted by an association of people regulated by a set of norms based on certain purposes in a state of harmonious balance of their physical and energetic dimensions. In that the physical refers to storage functions, regulation and allocation of resources; transformation of raw materials and inputs into goods and services; waste disposal, distribution and coordination and with information systems for management control, while energy is associated with the ability to act with its management and policies.

The current paper is a first theoretical proposal, which should be enriched with practical applications that feedback its conceptual formulation, thus contributing to its validation.

A comprehensive organizational diagnostic method is made available.

The proposed method allows a comprehensive organizational diagnosis, considering the participation of all the actors that make up this type of social systems.

Although the methodological resource is old, the way it is used here is considered original, and it is also part of an original investigative process by the authors, oriented toward the search for comprehensive organizational diagnostic methods.

This study aims to evaluate enterprise technology innovation capability in prefabricated construction (PC) from an input-output perspective, using six integrated enterprises in China as cases.

An evaluation system for enterprise technology innovation capability in PC was constructed, including total input, technology output (TO) and project output. All the evaluation indexes were quantified, and the subject and object indexes weights were determined using the fuzzy cognitive map and information entropy, respectively. The final scores and ranks were evaluated through gray relational analysis (GRA) based on the combined weights.

It was found that enterprise technology innovation capability in PC was low in China, with its unbalanced development in different dimensions and the poorest performance in TO, currently.

This research has developed an evaluation system for technology innovation capability in PC at the enterprise level and scientifically quantified all the indexes, which is a breakthrough over existing studies. The GRA model based on the combined weights proposed in this study can be applied to other comparable fields and regions, with its easy operation.