Project manager plays a very important role in the success of any project. The primary duty of the project manager is to combine the outcomes or results of the various processes and activities of project management into a systematic project management strategy or plan for the project. In the construction industry, a lack of motivation is an urgent problem for many project managers in construction and engineering projects. Lack of motivation affects the quality and productivity of jobs, reducing profits and growth for companies, businesses, contractors or organizations that rely on human resources. The reasons for this lack of motivation are diverse ranging from salary to culture to life and working environment, among others. Through surveys and data analysis using Cronbach’s Alpha reliability and EFA (Exploratory Factor Analysis), our research scaled the factors affecting work motivation of project managers in the construction industry in Vietnam. The research results identified six major groups of relevant factors including (i) salary and benefits, (ii) work environment, (iii) promotion opportunities, (iv) organizational culture, (v) interest in the job, and (vi) relationship with the organization. From there, this paper contributed useful information as well as measures for businesses, companies, contractors or organizations in the construction industry.

Livelihood capitals have a clear influence on livelihood development. As for the livelihood results, it has been pointed out in the analysis of the poor households that the ability of people to escape poverty depends especially on the access to livelihood capitals. This study aims to analyze the impacts of livelihood capital on poverty among mountain people who depend on forests through human capital, social capital, natural capital, physical capital and financial capital. This research employs the model of binary regression function. Independent variables x1, x2, ..., xn are targets of livelihood strategy, vulnerability context, and livelihood capitals. These variables were selected to be included in the original model with dependent variable Y as poor and non-poor households. This study surveys households living in upland areas, near forests, and households of ethnic minorities. The results show that,out of the poor household rate, nearly 4% are newly-poor households or those falling back into poverty. Therefore, the government needs to pay more attention to this disadvantaged group and implements policies such as education and training policies, credit support policies, policies to support forest development, and payment for forest environmental services in the context of emerging countries like Vietnam.,