Search results

The purpose of this paper is to analyze supply chain practices, and supply chain food quality performance indicator in the Australian beef processing industry.

A conceptual model was developed to test how supply chain practices: strategic alliance, customer focus, information sharing, information quality, Lean system and antecedent cooperative behavior: trust and commitment impact on food quality. A survey questionnaire to 600 Australian beef processors was conducted to collect the empirical data for testing of the formulated hypotheses. The stepwise multiple regression analysis was performed to test the hypothesized relationships.

Strategic alliance, information quality and trust and commitment are significantly related to food quality. In particular, the standardized coefficient shows that information quality has a significant positive relationship with food quality.

As Lean principles have been widely adopted in the red meat industry, strategic alliance becomes even critical for maintaining cost and operation effectiveness in the beef supply chain. A various approaches in terms of innovative technologies can improve information quality and promote information sharing in the beef supply chain. To build trust and commitment among supply chain partners requires perception of mutual long-term goals.

Australian Meat Manufacturers face greater regulatory challenges and restraints (product labeling, food safety and carbon tax) over the next five years. Therefore, to tackle the challenges, the findings of this research have significant practical implications.

This study intends to fill the research gap and explore how advanced supply chain systems have a potential to provide contributions to Australian beef processing industry performance. Vertical integration between livestock producers, meat processors, wholesalers and retailers provides the opportunities for greater economies of scale in production and distribution.

Narrates the discussion between Juan (a corporate executive of a multinational company) and Audrey (an independent environmental consultant) when they sit next to each other on a flight. Explains, through the dialogue, some of the environmental pitfalls companies can encounter when basing operations in the USA, such as regulations relating to clean air, clean water, emissions, toxic pollutants, land use restrictions, species protection plans etc.). Makes the point that it is individuals who face civil and criminal penalties for breaking these regulations, not the company. Provides an overview of US environmental regulations and recommends that companies can avoid falling foul of the law through education, training and taking legal advice. Mentions ISO 14000 and 14001 environmental standards as a potential way forward, although they do not yet carry any weight under US law.

The purpose of this paper is to provide the historical background of genealogical records and analyze the value of Chinese genealogical research through the study of names and genealogical resources.

The paper examines the historical evolution and value of Chinese genealogical records, with the focus on researching the Islamic Chinese names used by the people living in Guilin. The highlight of this paper includes the analysis and evolution of the Islamic Chinese names commonly adopted by the local people in Guilin. It concludes with the recommendations on emphasizing and making the best use of genealogical records to enhance the research value of Chinese overseas studies.

The paper covers the history of Islam and describes how the religion was introduced into China, as well as Muslims' ethnicity and identity. It also places focus on the importance of building a research collection in Asian history and Chinese genealogy.

This research study has a strong subject focus on Chinese genealogy, Asian history, and Islamic Chinese surnames. It is a narrow field that few researchers have delved into.

The results of this study will assist students, researchers, and the general public in tracing the origin of their surnames and developing their interest in the social and historical value of Chinese local history and genealogies.

The study of Chinese surnames is, by itself, a particular field for researching the social and political implications of contemporary Chinese society during the time the family members lived.

Very little research has been done in the area of Chinese local history and genealogy. The paper would be of value to researchers such as historians, sociologists, ethnologists and archaeologists, as well as students and anyone interested in researching a surname origin, its history and evolution.

This paper presents a review concerning the analytical and inverse methods of small punch creep test (SPCT) in order to evaluate the mechanical property of component material at elevated temperature.

In this work, the effects of temperature, specimen size and shape on material properties are mainly discussed using the finite element (FE) method. The analytical approaches including membrane stretching, empirical or semi-empirical solutions that are currently used for data interpretation have been presented.

The state-of-the-art research progress on the inverse method, such as non-linear optimization program and neutral network, is critically reviewed. The capabilities of the inverse technique, the uniqueness of the solution and future development are discussed.

The state-of-the-art research progress on the inverse method such as non-linear optimization program and neutral network is critically reviewed. The capabilities of the inverse technique, the uniqueness of the solution and future development are discussed.

This paper aims to analyse the characteristics of Chinese multinational corporations in other emerging economies using evidence from Latin America (LA) vis-à-vis the features found in previous studies of Chinese companies operating in developed countries.

It does this by studying the fit of theoretical frameworks recently developed for Chinese firms, the support from the government and the strength of their capabilities in relation to those of local competitors. The analysis is based on case studies with data collected from a theoretical sample of Chinese companies operating in LA.

The results show that these companies seem to be following a pattern similar to that described by Mathews’s (2006) Linkage–Leverage–Learning, that the support from the government does not seem to play an important role in their internationalisation process, that they appear to have developed a set of capabilities strong enough to compete in the host market (in particular how to combine their strengths with those of local partners) and that they are engaged in a positive cycle of development that helps them to overcome some of the challenges and barriers of operating in Latin American emerging markets by complementing/leveraging their strengths with those of local firms.

The findings indicate that Chinese companies are following patterns in their internationalisation to Latin American emerging markets that seems to be a combination of conventional theories (including previous studies on emerging markets-based firms) with idiosyncratic elements.

The objective of this study is to accurately predict the cost of green buildings to provide quantifiable criteria for investment decisions from investors.

This study proposes a hybrid prediction model ML-based for cost prediction of GBPs and obtains prediction parameters (PPs) associated with project characteristics through data mining (DM) techniques. The model integrates a principal component analysis (PCA) method to perform parameter dimensionality reduction (PDR) on a large number of raw variables to provide independent characteristic terms. Moreover, the support vector machine (SVM) algorithm is improved to optimize the prediction results and integrated with parameter dimensionality reduction and cost prediction.

The prediction results show that the mean absolute and relative errors of the hybrid prediction model proposed in this study are equal to 39.78 and 0.02, respectively, which are much lower than those of the traditional SVM model and MRA prediction model. Moreover, the hybrid prediction model with parameter dimensionality reduction also achieved better prediction accuracy (R² = 0.319) and superior prediction accuracy for different cost terms.

Theoretically, the hybrid prediction model developed in this study can reliably predict the cost while accurately capturing the characteristics of GBPs, which is a bold attempt at a comprehensive approach. Practically, this study provides developers with a new ML-based prediction model that is capable of capturing the costs of projects with ambiguous definitions and complex characteristics.

Globalisation is generally defined as the “denationalisation of clusters of political, economic, and social activities” that destabilize the ability of the sovereign State to control activities on its territory, due to the rising need to find solutions for universal problems, like the pollution of the environment, on an international level. Globalisation is a complex, forceful legal and social process that take place within an integrated whole with out regard to geographical boundaries. Globalisation thus differs from international activities, which arise between and among States, and it differs from multinational activities that occur in more than one nation‐State. This does not mean that countries are not involved in the sociolegal dynamics that those transboundary process trigger. In a sense, the movements triggered by global processes promote greater economic interdependence among countries. Globalisation can be traced back to the depression preceding World War II and globalisation at that time included spreading of the capitalist economic system as a means of getting access to extended markets. The first step was to create sufficient export surplus to maintain full employment in the capitalist world and secondly establishing a globalized economy where the planet would be united in peace and wealth. The idea of interdependence among quite separate and distinct countries is a very important part of talks on globalisation and a significant side of today’s global political economy.

The social and work inclusion of people with disabilities is an important area of public action and research today. Future trends in the economy and lifestyle represent new challenges for the inclusion of disabled people. This paper aims to provide a bibliometric analysis of the growing amount of research publications currently dealing with problems associated with people with disabilities in employment. The papers are analysed to gain a perspective on any changes in the field.

In this study, the analysis is conducted using a literature review and bibliometric analysis techniques in particular. The bibliographic source supporting this analysis resulted from a search of Scopus using Disability, Employment and Work as search terms, which yielded 750 publications spanning the previous nine years. VOSviewer was applied to facilitate the analysis.

The findings indicate that up until 2016, the conversation revolved around health and employment, and from 2017 onwards the research has become more focused on the employment of people with disabilities. Socioeconomic factors affecting people with disabilities appear as one of the causes impairing their inclusion, such as the different intellectual disabilities curtailing their employment and education for work.

This analysis limited itself to only one database and open access articles. Therefore, further research is needed with a larger bibliographic base covering other aspects related to the future of disability employment.

This review may serve as a valuable source of information for researchers for further investigations in this area. And to aid in the development of effective policies to address existing social stereotypes.

This research illustrates, through the use of VOSviewer, the present studies in the area of disability and employment and sets the foundations for further research.

The purpose of this paper is to evaluate green buildings from the angle of greenness and improve the evaluation system. And the matter-element extension method is used to evaluate the greenness of green buildings, in order to provide useful references for the evaluation system of green buildings.

First, this paper studies the aspects of safety and durability, health and comfort, living convenience, resource-saving, environmental liability and ecological quality, etc. For the first time, carbon emission is included in the evaluation system, 18 key evaluation indexes are determined by using the Delphi method, and the green building evaluation index system is established. Then, the combined weight method is proposed to determine the weight of each evaluation index, and the greenness evaluation model of green building is established with the matter-element extension method. Finally, taking Beijing Daxing International Airport as an example, the evaluation model of green building greenness was established to evaluate the building.

In this paper, the greenness evaluation model of green building established by the matter-element extension method solves the problem of incompatibility between qualitative and quantitative material elements in multi-factor evaluation. It makes the evaluation indexes more accurate and objective relative to the affiliation calculation of the evaluation set and improves the scientific, accuracy and reliability of the evaluation model.

In this paper, for the first time, carbon emission-related indicators are included in the green building evaluation system, which makes the evaluation system more perfect. In addition, a more scientific extension matter-element method is used to evaluate the greenness of green buildings, breaking the previous rough star evaluation method.