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This paper discusses the applicability of different occupational health risk assessment (OHRA) methods in assessing noise hazards during the production phase of assembled precast concrete (PC) components and makes targeted recommendations based on the assessment results from multiple perspectives to reduce noise hazards in this phase.

In this paper, the noise levels of various plant operations are measured on-site and the actual working conditions of plant workers are investigated. Then, four distinct occupational health risk assessment (HRA) models are used to estimate the risk of noise hazards during the production of PC components. Finally, the results obtained from the various models are analyzed and discussed, and then the most appropriate method for assessing noise hazards at this stage is chosen accordingly.

The noise exposure levels of workers in the four processes of steel processing, concrete mixing, concrete vibrating and mold removal exceeded occupational exposure limits. Similarly, the risk associated with these four processes is relatively elevated. For risk assessment (RA) of noise hazards in the production phase of assembled PC components, both the Australian RA model and the occupational hazard risk index method can be used, with the latter being more applicable.

The assessment results acquired in this paper can serve as a reference for the government and other relevant agencies when determining inspection priorities. In addition, the measures and recommendations outlined in this paper serve as a guide for businesses and government agencies to strengthen the noise management in the production stage of PC components, thereby reducing the noise hazards in the production stage of assembled PC components.

The occupational health risk associated with the production of prefabricated concrete components is often overlooked. This paper will use a damage assessment and cyclic mitigation (DACM) model to provide individualized exposure risk assessment and corresponding mitigation management measures for workers who are being exposed.

The DACM model is proposed based on the concept of life cycle assessment (LCA). The model uses Monte-Carlo simulation for uncertainty risk assessment, followed by quantitative damage assessment using disability-adjusted life year (DALY). Lastly, sensitivity analysis is used to identify the parameters with the greatest impact on health risks.

The results show that the dust concentration is centered around the mean, and the fitting results are close to normal distribution, so the mean value can be used to carry out the calculation of risk. However, calculations using the DACM model revealed that there are still some work areas at risk. DALY damage is most severe in concrete production area. Meanwhile, the inhalation rate (IR), exposure duration (ED), exposure frequency (EF) and average exposure time (AT) showed greater impacts based on the sensitivity analysis.

Based on the comparison, the DACM model can determine that the potential occupational health risk of prefabricated concrete component (PC) factory and the risk is less than that of on-site construction. It synthesizes field research and simulation to form the entire assessment process into a case-base system with the depth of the cycle, which allows the model to be continuously adjusted to reduce the occupational health damage caused by production pollution exposure.

Among nascent entrepreneurial ventures, are some types of bootstrapping techniques more successful than others? We compare externally oriented and internally oriented techniques with respect to the likelihood of becoming an operational venture; and we compare cash-increasing and cost-decreasing techniques with respect to becoming operational. Using data from the first Panel Study of Entrepreneurial Dynamics, we find evidence suggesting that when bootstrapping a new venture, the percentage of cash-increasing and cost-decreasing externally oriented bootstrapping techniques that a ventureʼs owners use are positive predictors of subsequent positive cash flow (one and two years later). But, internally oriented techniques are not related to subsequent cash flow.

The purpose of this paper is to investigate the decision behaviors and channel coordination of a sustainable three-echelon supply chain with retailer-led game setting.

The authors develop game-theoretic models to examine the decision behaviors of channel members in a three-echelon supply chain consisting of one supplier, one distributor and one dominated retailer. The authors first formulate two models for centralized decision and decentralized decision. And then this paper proposes sub-supply chain coordination and a two-tariff contract to coordinate the full supply chain. Finally, some management insights are obtained with a case study.

The authors find that when faced with environmentally conscious consumers, the channel members can benefit from higher greening level; however, higher cost of green technologies would have negative impacts on manufacturer's effort. The analysis also shows that cooperation among players can improve the supply chain performance and help with environmental improvement.

The findings provide important managerial insights for the three-echelon supply chain to achieve sustainable goals where the retailer bears the environmental responsibility. However, this paper also has some limitations with assuming risk-neutral channel members and symmetric information.

The findings of the study contribute to coordination and collaboration in sustainability of supply chains. The results provide important managerial insights for the three-echelon supply chain to achieve sustainable goals.

The entrepreneurʼs experience, personality, and values affect the entrepreneurʼs behaviors and decisions (Chrisman, Bauerschmidt, and Hofer 1998). Past research results show that (1) more experienced new venture founders have a greater likelihood of leading their ventures to early success than less experienced founders (Delmar and Shane 2006) and (2) founders who engage in legitimacy-seeking behaviors have a greater likelihood of leading their ventures to early success than founders who do not do so (Tornikoski and Newbert 2007). We propose that more experienced founders understand the importance of obtaining legitimacy for their ventures and therefore will engage in more legitimacy-seeking behaviors. In addition, we propose that entrepreneursʼ growth aspirations and internal locus of control are also associated with engagement in legitimacy-seeking behaviors. We test and find support for these propositions in a sample of new ventures and their founders.

The purpose of this paper is to propose a multi-feature, multi-metric and multi-loop tightly coupled LiDAR-visual-inertial odometry, M³LVI, for high-accuracy and robust state estimation and mapping.

M³LVI is built atop a factor graph and composed of two subsystems, a LiDAR-inertial system (LIS) and a visual-inertial system (VIS). LIS implements multi-feature extraction on point cloud, and then multi-metric transformation estimation is implemented to realize LiDAR odometry. LiDAR-enhanced images and IMU pre-integration have been used in VIS to realize visual odometry, providing a reliable initial guess for LIS matching module. Location recognition is performed by a dual loop module combined with Bag of Words and LiDAR-Iris to correct accumulated drift. M³LVI also functions properly when one of the subsystems failed, which greatly increases the robustness in degraded environments.

Quantitative experiments were conducted on the KITTI data set and the campus data set to evaluate the M³LVI. The experimental results show the algorithm has higher pose estimation accuracy than existing methods.

The proposed method can greatly improve the positioning and mapping accuracy of AGV, and has an important impact on AGV material distribution, which is one of the most important applications of industrial robots.

M³LVI divides the original point cloud into six types, and uses multi-metric transformation estimation to estimate the state of robot and adopts factor graph optimization model to optimize the state estimation, which improves the accuracy of pose estimation. When one subsystem fails, the other system can complete the positioning work independently, which greatly increases the robustness in degraded environments.

With the development of social media and Internet technology, many firms have started to use various crowdsourcing innovation platforms to operate their open innovation business modes. The purpose of this study is to explore how such platforms' assurance mechanisms enhance the effectiveness of crowdsourcing innovations and how to apply assurance mechanisms to handle different innovation tasks, thereby motivating more seekers to use crowdsourcing innovations.

The authors use a Python-based technology to collect the research data comprising 2,302 solvers and 8,390 trade records from zbj.com and apply statistical methods to test the postulated hypotheses.

The effectiveness of assurance mechanism is confirmed by its positive relationship with solver's behaviour, thereby improving seeker's retention behaviour. However, task complexity, task novelty and task professionalization have different moderating effects on the relationships among assurance mechanism, solver's (innovator's) behaviour and seeker's behaviour.

This study enriches the literature on crowdsourcing innovations and extends the application of uncertainty reduction theory to innovation research. It also makes the theoretical contribution that the assurance mechanism adopted by the platform has different impacts on user's behaviour depending on the task characteristics.

The findings provide guidance to the platform operator on how to design the assurance mechanism to match the innovation task and innovator's behaviour to reduce seeker's uncertainty, thereby facilitating the seeker's decision-making.

A particular value of this study lies in exploring the impact of the platform assurance mechanism of social media-based crowdsourcing innovations on innovator's behaviour, which may further improve seeker's behaviour, based on uncertainty reduction theory.

Entrepreneurship is a social role, suggesting that different communities and societies will hold different typical expectations for who the entrepreneur should be (i.e., personal characteristics) and how an entrepreneur acts (behaviors). In this chapter, we describe the results of two studies that elucidate the content of the entrepreneur’s role and assess its generalizability and cultural uniqueness in three cultures: the United States, China, and Taiwan. We do so by examining the prototypes, or culturally shared implicit theories or schema that individuals hold about the attributes and behaviors characterizing the entrepreneur’s role. We suggest that the entrepreneur prototype has overlapping content across these three cultures, and that they also reflect cultural uniqueness due to different political, economic, and social histories and conditions. First, we conducted an initial inductive study designed to elicit a comprehensive list of representative characteristics and behaviors that are commonly recognized in each society as typical of an “entrepreneur,” resulting in an inclusive list of 87 prototypical/anti-prototypical items. These items were subsequently used in a survey-based study to assess the specific content that each culture endorses as prototypical of an entrepreneur, the extent to which those prototypes varied across the three cultures, and relationships of prototype evaluation with individuals’ personal values and exposure to entrepreneurship. Results showed that prototypes were distinct in each culture, but with some overlap of attributes, especially between China and Taiwan. Results showed some support for the relationship between top-ranked prototypical attributes and individuals’ exposure to entrepreneurship as well as openness-to-change values and conservation values, but also interesting differences in these relationships in the three cultures. The findings highlight that role prototype formation processes across these cultures were etic, but that the content of the role may well be emic or culturally specific.

This chapter examines the similarities and differences between the concepts of transformational leadership as developed within North America and the Confucian idea of transformation. It argues that Confucian tradition encompasses the essential elements embedded in the concept of transformational leadership. The former differentiates from the latter in its deeper degree of transformation, emphasis on morality and culture, and its focus on transformation from the inside outwards. The two greatest educators in Chinese history, Confucius and Cai Yuanpei, are evaluated in terms of their transformational leadership qualities in the Western sense. By looking at Confucius and Cai Yuanpei as successful transformational leaders, the chapter identifies four important factors from Chinese cases that may contribute to the success of this type of leadership. Implications of this comparison are discussed as they may inform the knowledge, research and practices of transformational leadership.

The objective of this study is to examine how formal and informal institutional environment influences managers’ fair value opinion shopping behaviour in the largest International Financial Reporting Standards adopter, China.

To test the hypotheses, I conduct a 2 × 2 between-subject randomised experiment since the inferences about cause and effect are important in this study. The between-subject experimental situations are manipulated on the basis of the financial condition of companies and boards’ oversight.

I find that managers are likely to seek favourable fair value opinions from external valuation professionals when they are under the weak boards’ oversight and high stress to meet the regulation target of the China Securities Regulatory Commission. These results are more pronounced for managers with higher both rent-seeking and favour-seeking guanxi orientations are more likely to engage in fair value opinion shopping.

Consistent with theoretical analysis of Balfoort et al. (2017), this study provides empirical evidence that guanxi influences the neutrality and faithful representation in fair value measurement in China. In addition, the findings extend Salzsieder’s study (2015) and reflect the context-embeddedness nature of accounting.