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This study aims to understand social media users’ responses to the influencer-endorsed wine short videos on the most popular platform – Douyin, relying on message interpretation process (MIP) framework and identify segmentation differences from gender and the generational cohorts (Gen Z and Gen Y).

Topic modeling, content analysis and quantitative analysis were used to decipher the user-generated content (UGC) data retrieved from 81 wine videos posted by the top 30 social media influencers (SMI) who focused on wine products and consumption experience messages.

The results demonstrate social media users are most inclined to respond to product-related topics, followed by the influencer, emotional, alcohol drinking intent, behavioral and skepticism. Meanwhile, the findings also revealed that the female group was more likely to engage in influencer topics, whereas the male group contributed more to product subjects. Gen Z cohort involved more themes about alcohol drinking intent, whereas Gen Y contributed more to skepticism.

The findings provide hospitality and wine practitioners, SMI and brand sponsors valuable information to use this advanced tactic among various social networking services.

This study is the first to grasp the Douyin users’ perceptions of this newly emerged influencer marketing strategy via UGC data. Originality is established by investigating gender and generational cohorts’ differences underlined by MIP.

顾客在 TikTok（抖音）对网红葡萄酒营销短视频有何见解？探索性别和代际差异

本研究旨在了解社交媒体用户对最受欢迎的平台 - 抖音- 的网红认可的葡萄酒短视频的反应, 依靠消息解释过程 (MIP) 框架, 并识别性别和世代群组的细分差异（Z世代和 Y 世代）。

利用主题建模、内容分析和定量分析来破译从30 名社交媒体网红发布的 81 个葡萄酒视频中关注葡萄酒产品和消费体验信息检索到的 UGC 数据。

结果表明, 社交媒体用户最倾向于回应产品相关话题, 其次是影响者、情绪、饮酒意图、行为和怀疑态度。同时, 调查结果还显示, 女性群体更可能参与有社交媒体网红主题的话题, 而男性群体对产品主题的贡献更大。 Z 世代队列涉及更多关于饮酒意图的主题, 而 Y 世代则表现更多怀疑。

研究结果为酒店和葡萄酒从业者、社交媒体影响者和品牌赞助商提供了宝贵的信息, 以在各种社交网络服务中使用这种先进的策略。

这项研究首次通过 UGC 数据掌握了抖音用户对这种新兴的网红营销策略的看法。通过 MIP 体现性别和代际群体的差异从而体现本研究的原创价值。

The construction industry is facing challenges not only for workers' mobility in the pandemic situation but also for Lean Construction (LC) practise in responding to the high-quality development during the post-pandemic. As such, this paper presents a construction workforce management framework based on LC to manage both the emergency goal in migrant worker management and the long-term goal in labour productivity improvement in China.

The framework is created based on the integrated culture and technology strategies of LC. A combination of qualitative and quantitative methods is taken to explore factors influencing the mobility of construction workers and to measure labour productivity improvement. The case study approach is adopted to demonstrate the framework application.

For method application, a time-and-motion study and Percent Plan Complete indicator are proposed to offer labour productivity measurements of “resources efficiency” and “flow efficiency”. Moreover, the case study provides an industry level solution for construction workforce management and Lean Construction culture shaping, as well as witnesses the LC culture and technology strategies alignment contributing to LC practise innovation.

Compared with previous studies which emphasised solely LC techniques rather than socio-technical system thinking, the proposed integration framework as well as implementation of “Worker's Home” and “Lean Work Package” management models in the COVID-19 pandemic contribute to new extensions of both the fundamental of knowledge and practise in LC.

Precast wall lifting during prefabricated building construction faces multiple non-lean problems, such as inaccurate lifting-time estimation, unreasonable resource allocation and improper process design. This study aims to identify the pathways for improving lifting performance to advance lean construction of prefabricated buildings.

This study developed a methodological framework that integrates the discrete event simulation method, the elimination, combination, rearrangement and simplification (ECRS) technique and intelligent optimization tool. Two schemes of precast wall lifting, namely, the enterprise's business as usual (BAU) and enterprise-leading (EL) schemes, were set to benchmark lifting performance. Furthermore, a best-practice (BP) scheme was modeled from the perspective of lifting activity ECRS and resource allocation for performance optimization.

A real project was selected to test the effect of the methodological framework. The results showed that compared with the EL scheme, the BP scheme reduced the total lifting time (TLT) by 6.3% and mitigated the TLT uncertainty (the gap between the maximum and minimum time values) by 20.6%. Under the BP scheme, increasing the resource inputs produces an insignificant effect in reducing TLT, i.e. increasing the number of component operators in the caulking subprocess from one to two only shortened the TLT by 3.6%, and no further time reduction was achieved as more component operators were added.

To solve non-lean problems associated with prefabricated building construction, this study provides a methodological framework that can separate a typical precast wall lifting process into fine-level activities. Besides, it also identifies the pathways (including the learning effect mitigation, labor and machinery resource adjustment and activities’ improvement) to reducing TLT and its uncertainty.

The purpose of this paper is to figure out the paths about transformation of tacit knowledge into explicit knowledge, i.e. tacit knowledge explicating (TKE) in real estate companies, and determine the influencing factors of TKE in Chinese real estate companies to enable enterprises make better use of their knowledge resources.

The study adopted an exploratory design method using thematic analysis and grounded theory, and semi-structured interviews were conducted to collect data. The interviewees consisted of employees in different positions, who come from Chinese real estate companies with different ranking ranges and different knowledge management levels. Data collection was divided into two rounds for the identification of transformation paths and influencing factors.

This study has shown that 11 paths about TKE divided into solidified organization process and construction of organizational infrastructure go into effect within the real estate companies. Factors influencing TKE in real estate companies concern three main categories: organizational distal factors, contextual proximal factors and individual factors, including 21 subordinates in total. Furthermore, correlation between TKE paths and influencing factors is established.

Research results may lack generalizability due to the method adopted. Therefore, researchers are encouraged to verify the outcomes of this research.

This research provides a new idea and solutions for the tacit knowledge management in real estate companies.

To the best of the authors’ knowledge, this study is the first to systematically identify paths and the influencing factors of TKE in real estate companies, contribute to the incipient but growing understanding of achievement of “tacit to explicit” and enrich the corporate tacit knowledge management literature.

This paper aims to present an 8 kW LLC resonant converter designed for plasma power supply with higher efficiency and lighter structure. It presents how to solve the problems of large volume and weight, low performance and low efficiency of traditional plasma power supply.

At present, conventional silicon (Si) power devices’ switching performance is close to the theoretical limit determined by its material properties; the next-generation silicon carbide (SiC) power devices with outstanding advantages can be used to optimal design. This 8 kW LLC resonant converter prototype with silicon carbide (SiC) power devices with a modulated switching frequency ranges from 100  to 400 kHz.

The experimental results show that the topology, switching loss, rectifier loss, transformer loss and drive circuit of the full-bridge LLC silicon carbide (SiC) plasma power supply can be optimized.

Due to the selected research object (plasma power supply), this study may have limited universality. The authors encourage the study of high frequency resonant converters for other applications such as argon arc welding.

This study provides a practical application for users to improve the quality of plasma welding.

The experimental results show that the full-bridge LLC silicon carbide (SiC) plasma power supply is preferred in operation under conditions of high frequency and high voltage. And its efficiency can reach 98%, making it lighter, more compact and more efficient than previous designs.

The purpose of this paper is to study the effects of short‐sale constraints and differences of opinions on the price premium of dual listed Chinese A‐H shares.

The analysis mainly follows the Miller's model, which indicates that the relaxation of stringent short‐sale constraint could reduce the upward bias in stock prices. Following the literature, the paper uses the idiosyncratic return volatility and monthly turnover rate as two main proxies of differences of opinions.

This study shows that the high level of A‐share differences of opinions will lead to the high price premium of A‐share portfolio with the short‐sale constraint in the A‐share market. However, the high level of H‐share differences of opinions has no effect on the price premium of H‐share portfolio and has also positively contributed to the A‐share price premium. The price premium of shorted A‐share portfolio is declined more significantly than those of non‐shorted ones after the relaxation of short‐sale constraint in the A‐share market.

The findings in this study provide further evidence that dual listed Chinese A‐shares with high level of differences of opinions and short‐sale constraints tend to be overvalued.

This study supports Miller's hypothesis that with the control of short‐sale constraint, the high level of differences of opinions could lead to the high degree of overvaluation of A‐share portfolio. The market capitalization and book‐to‐market ratio of A‐shares also generate significant positive effect to the A‐share price premium. Finally, the introduction of short‐sale mechanism in A‐share market could partially eliminate the mispricing of dual‐listed A‐shares and improve the price efficiency of A‐share market.

This study is mainly focused on the joint effects of differences of opinions and short‐sale constraints on the A‐share price premium. The new short‐sale policy in A‐share market in March 2010 provides us an opportunity to study the effect of relaxation of stringent short‐sale constraint on the A‐share price premium. In the literatures so far, all studies assumed A‐shares are strictly prohibited to be sold short.

The purpose of this paper is to propose a combined reordering scheme with a wide range of application, called Reversed Cuthill-McKee-approximate minimum degree (RCM-AMD), to improve a preconditioned general minimal residual method for solving equations using Lagrange multiplier method, and facilitates the choice of the reordering for the iterative method.

To reordering the coefficient matrix before a preconditioned iterative method will greatly impact its convergence behavior, but the effect is very problem-dependent, even performs very differently when different preconditionings applied for an identical problem or the scale of the problem varies. The proposed reordering scheme is designed based on the features of two popular ordering schemes, RCM and AMD, and benefits from each of them.

Via numerical experiments for the cases of various scales and difficulties, the effects of RCM-AMD on the preconditioner and the convergence are investigated and the comparisons of RCM, AMD and RCM-AMD are presented. The results show that the proposed reordering scheme RCM-AMD is appropriate for large-scale and difficult problems and can be used more generally and conveniently. The reason of the reordering effects is further analyzed as well.

The proposed RCM-AMD reordering scheme preferable for solving equations using Lagrange multiplier method, especially considering that the large-scale and difficult problems are very common in practical application. This combined reordering scheme is more wide-ranging and facilitates the choice of the reordering for the iterative method, and the proposed iterative method has good performance for practical cases in in-house and commercial codes on PC.

The recognition and positioning of start welding position (SWP) is the first step and one of the key technologies to realize autonomous robot welding. The purpose of this paper is to describe a method developed to accomplish successful autonomous detection and guiding of SWP.

The images of workpieces are snapped by charge coupled device (CCD) cameras in a relative large range without additional light. The recognized methods of SWP are analyzed according to the given definition. A two‐step method named “coarse‐to‐fine” is proposed to recognize the SWP accurately. The first step is to solve the curve functions of seam and workpieces boundaries by fitting. The intersection point is regarded as initial value of SWP. The second step is to establish a small window that takes the initial value of SWP as centre. Then, the SWP is obtained exactly by corner detection in the window. Both the abundant information of original image and the structured information of recognized image are used according to given rules, which takes full advantage of the image information and improves the recognized precision.

The detected results show that the actual and calculated positions by first step of SWP are identical for regular seam, but different for the irregular curve seam. The exact results can be calculated by the two‐step method in the paper for both regular and irregular seams. The typical planar “S‐shape” and spatial arc curved seams are selected to carry out autonomous guiding of SWP.

The experimental results are given based on the introduction of 3D reconstructed and guided method. The guided precision is less than 1.1 mm, which meets the requirements of practical production. The proposed two‐step method recognizes the SWP rapidly and exactly from coarse to fine.

The purpose of this paper is to investigate and explain how organizations in the construction sector can enhance their decision-making process (DMP) by practising knowledge management (KM) and business process management (BPM) activities. A conceptual framework is developed that recognises the elements that impact DMP in terms of KM and BPM. The development of this framework goes beyond current empirical work on KM in addition to BPM as it investigates a wider variety of variables that impact DMP.

A case study is undertaken in the context of the construction industry in Jordan. A theoretical framework is developed and assessment of the proposed framework was undertaken through a questionnaire survey of decision-makers in the construction sector and expert interviews.

The outcomes of this research provide several contributions to aid decision-makers in construction organizations. Growth in the usage of KM and BPM, in addition to the integration between them, can provide employees with task-related knowledge in the organization’s operative business processes, improve process performance, promote core competence and maximise and optimise business performance.

Through the production of a framework, this study provides a tool to enable improved decision-making. The framework generates a strong operational as well as theoretical approach to the organizational utilization of knowledge and business processes.