As the main contribution of China's carbon emissions, low-carbon production in industrial firms becomes an inevitable choice, and industrial firm employees' attitudes on low-carbon new technology directly infl...As the main contribution of China's carbon emissions, low-carbon production in industrial firms becomes an inevitable choice, and industrial firm employees' attitudes on low-carbon new technology directly influence the results of low-carbon production. Based on the Unified Theory of Acceptance and Use of Technology model, structural equation modeling was used to analyze the main factors influencing firm staff to accept low-carbon new technology. The study reveals that the employee's social impact, performance expectation, effort expectations and convenient conditions, and employee characteristics are all main factors affecting their acceptance attitudes on low-carbon new technology. And social influence has the largest effect on employees' acceptance attitudes toward low-carbon new technology. Accordingly, relevant policy recommendations are put forward for the future research direction.展开更多
In contrast to the previous studies of knowledge capital from the perspective of enterprises, this study discusses the employee knowledge capital formation mechanism in the supply chain using social network method fro...In contrast to the previous studies of knowledge capital from the perspective of enterprises, this study discusses the employee knowledge capital formation mechanism in the supply chain using social network method from the perspective of social capital s~＇ucture, taking individual employees as the study objects. 150 effective questionnaires of three groups were returned by multistage cluster sampling, and then they were analyzed through regression and the structural equation model. The results are as follows： （1） the acquisition of social capital and knowledge capital is affected by the network structure position of the employees in the supply chain; （2） the knowledge capital is affected by how much social capital the employees obtained in the supply chain; （3） social capital is an intermediary variable to affect the knowledge capital in the network structure. Finally, related suggestions for the supply chain management and the subsequent studies are proposed. 1展开更多
In August 2012 a bloody strike broke out at the Marikana platinum mine, close to Rustenburg in the Northwest Province. The strike, involving 3,000 African miners, became violent and police opened fire and killed 34 pe...In August 2012 a bloody strike broke out at the Marikana platinum mine, close to Rustenburg in the Northwest Province. The strike, involving 3,000 African miners, became violent and police opened fire and killed 34 people. The issue of minimum wages and union recognition, inter alia, were underlying causes of this strike. The much televised Marikana strike had a knock-on effect and a few months later a widespread strike broke out among workers in the agricultural sector of the Western Cape. Large-scale destruction of property and crop damage took place on farms reaching levels of militancy never previously encountered in this sector. As in the case of the Marikana strike the root causes of the strike action in the Western Cape seemed to be the question of minimum wages, and, to a lesser extent, union recognition and other social issues involving political undertones. This article explores the socio-economic causes of the strike and its ramifications for labour and agriculture in the province.展开更多
Delay to large scale projects, which is as a result of actions or inactions of some project stakeholders, is becoming a global phenomena and Ghana is no exception. The objective of the research is to identify, rate an...Delay to large scale projects, which is as a result of actions or inactions of some project stakeholders, is becoming a global phenomena and Ghana is no exception. The objective of the research is to identify, rate and rank the most significant risk factors that causes delay on projects and examine the social impact of these delays to recommend modalities to help mitigate these risk factors. The study adopted quantitative methods with the distribution of 144 questionnaires to built environment professionals receiving a response rate of 75.7%. The instrument listed 58 common factors under eight categories that contribute to the causes of delay for respondents to rate. Analysis of data non-parametric test revealed that client, contractor, material and finance category factors significantly resulted in the schedule delay of large infrastructural projects. The survey analysis revealed that micro-factors that result in delays to large construction projects are time constraint, cost overrun, payment problems, dispute and litigation. The research recommended the following modalities to minimize such delays： availability of resources, improved communication and coordination, proper scope definition and feasibilities, utilization of modern technology, appropriate application of technologically based systems and competent project management＇s structures.展开更多
文摘As the main contribution of China's carbon emissions, low-carbon production in industrial firms becomes an inevitable choice, and industrial firm employees' attitudes on low-carbon new technology directly influence the results of low-carbon production. Based on the Unified Theory of Acceptance and Use of Technology model, structural equation modeling was used to analyze the main factors influencing firm staff to accept low-carbon new technology. The study reveals that the employee's social impact, performance expectation, effort expectations and convenient conditions, and employee characteristics are all main factors affecting their acceptance attitudes on low-carbon new technology. And social influence has the largest effect on employees' acceptance attitudes toward low-carbon new technology. Accordingly, relevant policy recommendations are put forward for the future research direction.
文摘In contrast to the previous studies of knowledge capital from the perspective of enterprises, this study discusses the employee knowledge capital formation mechanism in the supply chain using social network method from the perspective of social capital s~＇ucture, taking individual employees as the study objects. 150 effective questionnaires of three groups were returned by multistage cluster sampling, and then they were analyzed through regression and the structural equation model. The results are as follows： （1） the acquisition of social capital and knowledge capital is affected by the network structure position of the employees in the supply chain; （2） the knowledge capital is affected by how much social capital the employees obtained in the supply chain; （3） social capital is an intermediary variable to affect the knowledge capital in the network structure. Finally, related suggestions for the supply chain management and the subsequent studies are proposed. 1
文摘In August 2012 a bloody strike broke out at the Marikana platinum mine, close to Rustenburg in the Northwest Province. The strike, involving 3,000 African miners, became violent and police opened fire and killed 34 people. The issue of minimum wages and union recognition, inter alia, were underlying causes of this strike. The much televised Marikana strike had a knock-on effect and a few months later a widespread strike broke out among workers in the agricultural sector of the Western Cape. Large-scale destruction of property and crop damage took place on farms reaching levels of militancy never previously encountered in this sector. As in the case of the Marikana strike the root causes of the strike action in the Western Cape seemed to be the question of minimum wages, and, to a lesser extent, union recognition and other social issues involving political undertones. This article explores the socio-economic causes of the strike and its ramifications for labour and agriculture in the province.
文摘Delay to large scale projects, which is as a result of actions or inactions of some project stakeholders, is becoming a global phenomena and Ghana is no exception. The objective of the research is to identify, rate and rank the most significant risk factors that causes delay on projects and examine the social impact of these delays to recommend modalities to help mitigate these risk factors. The study adopted quantitative methods with the distribution of 144 questionnaires to built environment professionals receiving a response rate of 75.7%. The instrument listed 58 common factors under eight categories that contribute to the causes of delay for respondents to rate. Analysis of data non-parametric test revealed that client, contractor, material and finance category factors significantly resulted in the schedule delay of large infrastructural projects. The survey analysis revealed that micro-factors that result in delays to large construction projects are time constraint, cost overrun, payment problems, dispute and litigation. The research recommended the following modalities to minimize such delays： availability of resources, improved communication and coordination, proper scope definition and feasibilities, utilization of modern technology, appropriate application of technologically based systems and competent project management＇s structures.
