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Entrepreneurship as a development engine has a distinct character in the economic growth of countries. Therefore, governments must support entrepreneurship in order to succeed in the future. The best way to improve the performance of this entrepreneurial advocacy is through efficient measurement methods. For this reason, the purpose of this paper is to propose a new integrated dynamic multi-attribute decision-making (MADM) model based on neutrosophic set (NS) for assessment of the government entrepreneurship support.

Due to the nature of entrepreneurship issues, which are multifaceted and full of uncertain, indeterminate and ambiguous dimensions, this measurement requires multi-criteria decision-making methods in spaces of uncertainty and indeterminacy. Also, due to the change in the size of indicators in different periods, researchers need a special type of decision model that can handle the dynamics of indicators. So, in this paper, the authors proposed a dynamic neutrosophic weighted geometric operator to aggregate dynamic neutrosophic information. Furthermore, in view of the deficiencies of current dynamic neutrosophic MADM methods a compromised model based on time degrees was proposed. The principle of time degrees was introduced, and the subjective and objective weighting methods were synthesized based on the proposed aggregated operator and a nonlinear programming problem based on the entropy concept was applied to determine the attribute weights under different time sequence.

The information of ten countries with the indicators such as connections (C), the country's level of education and experience (EE), cultural aspects (CA), government policies (GP) and funding (F) over four years was gathered and the proposed dynamic MADM model to assess the level of entrepreneurial support for these countries. The findings show that the flexibility of the model based on decision-making thought and we can see that the weights of the criteria have a considerable impact on the final evaluations.

In many decision areas the original decision information is usually collected at different periods. Thus, it is necessary to develop some approaches to deal with these issues. In the government entrepreneurship support problem, the researchers need tools to handle the dynamics of indicators in neutrosophic environments. Given that this issue is very important, nonetheless as far as is known, few studies have been done in this area. Furthermore, in view of the deficiencies of current dynamic neutrosophic MADM making methods a compromised model based on time degrees was proposed. Moreover, the presented neutrosophic aggregation operator is very suitable for aggregating the neutrosophic information collected at different periods. The developed approach can solve the several problems where all pieces of decision information take the form of neutrosophic information collected at different periods.

This study investigates the roles and interactions of various actors of one-stop digital culture platforms (ODCPs) by applying actor-network theory (ANT).

Data were collected from focus group interviews with 19 participants and over 20 policy texts related to the digitization of cultural services in China. Utilizing ANT as the analytical framework, we employed the grounded theory to analyze the dataset.

The empirical results indicate that: (1) governments, cultural institutions, enterprises and users each play dual roles, contributing to the functionality and development of ODCPs; (2) introduces the theory of commons to reconceptualize ODCPs as commons, highlighting the need for collective management and shared responsibility in the governance of ODCPs.

This study identifies and elaborates on the different roles of stakeholders and addresses conceptual ambiguities within ODCP projects. By introducing the theory of commons into the governance of ODCPs, this research provides new theoretical guidance for decision-makers and practitioners involved in ODCP projects.

It is said that one of the first recorded libraries of any magnitude was that of the Imperial Chou dynasty at Luoyang in the modern province of Henan in the 7th century BC, although the existence of libraries in China can be traced back to the Shang Dynasty about 500 years earlier. There is indeed said to be some positive evidence of documentation activities also going on in the 12th Century BC, since there are records of seismic activity dating from that time. Some three hundred years after this ‘first’ library, however, the infamous act of ‘Burning the Books’ took place. This was carried out on the orders of Shih Huang Ti — the self‐styled ‘First Emperor’ of the Ch'in Dynasty as a result of a petition from his First Minister to eradicate all earlier teachings. Not only did they condemn those who did not hand over their books, to forced labour on the Great Wall for four years, but also buried alive several hundred scholars who were suspected of knowing the books so thoroughly that they could reiterate their contents from memory. This act of ‘Burning the Books’ repeated itself of course during the Cultural Revolution as to a certain extent did a 20th century, although not necessarily much more humane, process of burying alive take place. The emperor was said, however, to have preserved copies in the Imperial Library, and especially those dealing with divination, pharmacy, medicine, agriculture and arboriculture. He also might, to perhaps stretch a point a little, have been said to have been involved in the documentation world, since he was apparently responsible for a wide range of standardisation including the track gauge of chariots — possibly to help him get the dimensions of the Great Wall right (from some parts of the Great Wall I saw however, a mountain goat would have problems let alone a horse and chariot).

Embracing big data has been at the forefront of research for project management. Although there is a consensus that the adoption of big data has significantly positive impact on project performance, far less is known about how this innovative information technology becomes an effective driver of construction project quality improvement. This study aims to better understand the mechanism and conditions under which big data can effectively improve project quality performance.

Adopting Chinese construction enterprises as samples, the theoretical framework proposed in this paper is verified by the empirical results of the two-level hierarchical linear model. The moderated mediation analysis is also conducted to test the hypotheses. Finally, the empirical findings are validated by a comparative case study.

The results show that big data facilitates the development of technology capability, which further produces remarkable quality performance. That is, a project team's technology capability acts as a mediator in the relationship between organizational adaptability of big data and predictive analytics and project quality performance. It is also observed that two types of project team interdependence (goal and task interdependence) positively moderate the mediation effect.

The questionnaire study from China only represents the relationship within a short time interval in the current context. Future studies should apply longitudinal designs to properly test the causality and use multiple data sources to ensure the validity and robustness of the conclusions.

The value of big data in terms of quality improvement could not be determined in a vacuum; it also depends on the internal capability development and elaborate design of project governance.

This study provides an extension of the existing big data studies and fuels the ongoing debate on its actual outcomes in project management. It not only clarifies the direct effect of big data on project quality improvement but also identifies the mechanism and conditions under which the adoption of big data can play an effective role.

Guided by the cognitive-affective system theory of personality (CAPS), this study aims to investigate the parallel mediating effects of cognitive and affective cynicism on the relationship between illegitimate tasks and employees’ adaptive performance. It also proposes growth need strength as a moderating variable for relationships between illegitimate tasks and employees’ adaptive performance.

Using a time-lagged design, data were gathered from 330 frontline hotel employees in China.

The authors found that the presence of illegitimate tasks is negatively associated with employees’ adaptive performance, this relationship being mediated by cognitive and affective cynicism. Growth need strength weakens the negative impacts of cognitive and affective cynicism on employees’ adaptive performance. In addition, the indirect effect of illegitimate tasks on employees’ adaptive performance via cognitive and affective cynicism is stronger for employees with lower levels of growth need strength.

Hotel managers must heed the negative impact of illegitimate tasks. Furthermore, they should underscore the importance of promoting a harmonious and positive organizational culture and atmosphere. Naturally, hotel managers must also establish effective communication with employees, assisting them in fostering a desire for excellence in their work.

This study provides valuable insights for the hospitality industry by investigating how illegitimate tasks hold sway over hotel employees’ adaptive performance. The study uses a moderated dual-path model to uncover the mechanisms behind this impact and the influence of boundary conditions, thereby expanding the understanding of the topic.

The application of thermal barrier coatings (TBCs) allows aero-engine blades to operate at higher temperatures with higher efficiency. The preparation of the TBCs increases the surface roughness of the blade, which impacts the thermal cycle life and thermal insulation performance of the coating. To reduce the surface roughness of blades, particularly the blades with small size and complex curvature, this paper aims to propose a method for industrial robot polishing trajectory planning based on on-site measuring point cloud.

The authors propose an integrated robotic polishing trajectory planning method using point cloud processing technical. At first, the acquired point cloud is preprocessed, which includes filtering and plane segmentation algorithm, to extract the blade body point cloud. Then, the point cloud slicing algorithm and the intersection method are used to create a preliminary contact point set. Finally, the Douglas–Peucker algorithm and pose frame estimation are applied to extract the tool-tip positions and optimize the tool contact posture, respectively. The resultant trajectory is evaluated by simulation and experiment implementation.

The target points of trajectory are not evenly distributed on the blade surface but rather fluctuate with surface curvature. The simulated linear and orientation speeds of the robot end could be relatively steady over 98% of the total time within 20% reduction of the rest time. After polishing experiments, the coating roughness on the blade surface is reduced dramatically from Ra 7–8 µm to below Ra 1.0 µm. The removal of the TBCs is less than 100 mg, which is significantly less than the weight of the prepared coatings. The blade surface becomes smoothed to a mirror-like state.

The research on robotic polishing of aero-engine turbine blade TBCs is worthwhile. The real-time trajectory planning based on measuring point cloud can address the problem that there is no standard computer-aided drawing model and the geometry and size of the workpiece to be processed differ. The extraction and optimization of tool contact points based on point cloud features can enhance the smoothness of the robot movement, stability of the polishing speed and performance of the blade surface after polishing.

This study aims to investigate the influence of parent company personnel embedding on the stock price crash risk (SPCR) of listed companies, along with the moderating effect of disparate locations between parent and subsidiary companies and other major shareholders.

This research empirically tests hypotheses based on a sample of listed subsidiaries in China during the period between 2006 and 2021.

Our results demonstrate that personnel embeddedness in the parent company significantly alleviates SPCR in subsidiaries. This effect is even more substantial when the parent and subsidiary companies are in different places. However, other major shareholders in the subsidiary company weaken it. Our additional analysis indicates that, relative to executive embeddedness, director embeddedness exerts a stronger effect on the SPCR of the subsidiary. Mechanism examination reveals that the information asymmetry and the level of internal control (IC) within the subsidiary are significant channels through which the personnel embeddedness from the parent company influences the SPCR of the subsidiary.

This study expands the literature on how personnel arrangements in corporate groups within emerging countries influence SPCR. We have extended the traditional concept of interlocking directorates to corporate groups, thereby broadening the understanding of the governance effects of interlocking directors and executives from a group perspective.

This study aims to assess the oxidative stability of avocado oil (AO) at various temperatures, using butylated hydroxytoluene (BHT) as an artificial antioxidant and different concentrations of ultrasonic extract of Chlorella vulgaris.

Extracts of C. vulgaris were obtained using four solvents: water, acetone, ethanol and 80% ethanol-aqueous. Standard techniques were used to conduct qualitative phytochemical screening of the extracts. The extracted samples were analyzed for total phenolics, total flavonoids, antioxidant activity and phenolic compound fractionation. Some physicochemical parameters of AO treated with various concentrations of C. vulgaris ultrasonic extract compared to a 200 ppm BHT and exposed to different temperatures were measured.

The highest phenolic, flavonoids content and antioxidant activity was achieved by 80% ethanolic extract of C. vulgaris . The results showed that exposure of AO to high temperatures led to significant changes in the oil's physicochemical properties. These changes increased as the temperature increased. On the other hand, adding 80% ethanolic extract of C. vulgaris into AO reduced the effect of heat treatment on the change in physicochemical properties.

Adding 80% ethanolic extract of C. vulgaris into AO can potentially reduce the impact of heat treatment on the alteration of physicochemical properties.

Share pledge is a popular way to raise funds in China, but it aggravates information asymmetry. As an indispensable information intermediary in the financial market, media coverage affects asset price and pricing efficiency and impacts information asymmetry. This study aims to explore the governance role of media coverage as an information intermediary in the share pledge context in China.

Moderating effect and mediating effect analyses are the primary methods used to test the governance role of media coverage. The ordinary least squares model was used to test the relationship between share pledge and market performance and then proved the moderating effect of media coverage toward the corporate market value of pledge firms. Accounting earnings value relevance models were explored to test the path of media coverage on firm market value by mediating effect analysis. At last, subgroup tests were used to verify the heterogeneity of the moderating effect of media coverage.

In the context of share pledge in China, the higher the share pledge ratio, the higher is the market value of listed firms, which verifies the motivation of controlling shareholders to avoid the transfer of control right and the motivation to tunneling. Media coverage has a significant negative moderating effect on the relationship between share pledge rate and corporate value and has a significant impact on the accounting earnings value relevance of share pledge firms. From the perspective of long-term earnings, media coverage reduces the market performance of share pledge firms by reducing the value correlation of accounting earnings information. From the short-term price point of view, media coverage reduces the market performance of share pledge firms by improving the value correlation of accounting earnings information. Furthermore, media coverage has a more significant moderating effect in state-owned share pledge firms and low information transparency and low information disclosure quality firms.

This paper does not distinguish the mode difference of spreading news and the impact of non-pledge media coverage. Also, this paper does not consider factors other than accounting information value relevance when exploring how media coverage affects the corporate market value. Share pledge firms should use media for publicity and play a role in media governance and should actively improve their information disclosure quality, strengthen communication with investors and reduce information asymmetry fundamentally.

This paper diversify the governance choices for share pledge firms and has important implications for firms, investors, information intermediaries and regulators. Media reports play an increasingly important role today, and any reports and predictions of major events may profoundly affect investors’ decisions. Although media reports can make up for the weakness of accounting information disclosure of equity pledge companies in some sense, it is still not a long-term strategy. Equity pledge companies should not only make use of media for publicity and play a role of media governance but also actively improve their information disclosure quality.

This paper focuses on share pledge firms to carry out in-depth research. Based on exploring the influence mechanism of share pledges, the authors find the importance of media governance. This paper expands the literature about the economic consequences of share pledges and provides empirical data for media governance of share pledge firms. This paper innovatively proves the governance role of media coverage from the view of accounting information value relevance. The main innovation point is the long and short-term perspective analysis of the influence of media coverage on the correlation of accounting earnings value. The heterogeneity effect analysis of media coverage also reflects the depth and strong practical guiding significance of this study.

HIV or AIDS remains invisible and dismissed by most South Asians living in Canada as HIV or AIDS issues are perceived as an offshoot of Western lifestyle linked with drug use and promiscuity. This paper aims to look into how people living with HIV or AIDS (PLWHA) cope with prejudice and stigma.

To guide this research, a constructivist grounded theory approach was adopted as the theoretical and methodological framework. The authors reached the participants through a Toronto-based group that works with PLWHA. The authors chose their respondents in a snowball method and interviewed them both in person and online.

This paper identifies how South Asian immigrants and refugees/refugees with HIV or AIDS claimants are vulnerable to discrimination in Canada due to the following factors, which include but are not limited to: a lack of information about HIV and AIDS incidence in the community; and the Canadian health system's inability to respond appropriately to the lack of information.

HIV service engagements should take place within the context of a constellation of local traditions, or standardized expectations of patient engagement with HIV services can be counterproductive.

It is critical that governmental action prioritizes increasing public understanding of stigma. To minimize the consequences of HIV-related discrimination and stigma, misconceptions about HIV transmission must be debunked.