The paper investigates residents’ perception of peri-urban agriculture and analyzed factors affecting their perception of agricultural roles in a suburb area of Hanoi city. The research results indicate that although on-farm income has been decreased in comparison with off-farm ones, most of respondents still see agriculture is important because of its income contribution, job provision, food security and food safety, land property right and communal relationship maintenance. Household’s livelihood strategy is the most vital factor affecting residents’ perception of agricultural income contribution and employment creation, whereas educational level influences their perception of agricultural roles in food security and food safety most. Further, respondents’ age strongly affects their idea of maintaining communal relationship through peri-urban agricultural production.

The study aims to identify and measure factors affecting the job satisfaction amongst accountants in accounting service firms in Hanoi. Based on literature review and the results of some interviews, a total of 200 questionnaires were sent to research participants for recollection within 1 month; 145 of them met standard and were subject to analysis. The results of Exploratory Factor Analysis (EFA) and Multiple Regression Analysis (MRA) identified 5 main factors affecting job satisfaction amongst accountants: (i) salaries, (ii) welfare regimes; (iii) Recognized achievements and rewards, (iv) working conditions and (v) training and promotion. On this basis, some recommendations have been improved the job satisfaction of the accountant in the accounting service firms in Hanoi.

This paper substantiates that increasing the capacity of the consumer market is an important direction of the life quality improvement policy. Its implementation is the major strategic priority of all reforms in Ukraine. Based on the methods of economic and mathematical modeling, namely constructing the linear multiple regression equation, the level of impact of stimulating and destimulating factors on the consumer capacity of the oblasts of the Carpathian region is determined.

As construction projects are becoming more deployed and more complicated at the same time, having an instrument for anticipation of success has become a primary requirement for every stakeholder. On this basis, several models have been introduced which implement different methods for anticipation of the entire goals or a series of goals of projects. In this research, at the first step, 16 criteria as instruments of anticipation of success and 33 factors as required instruments for obtaining success were extracted through library studies, semi-structured interviews and the Delphi method. At the next step, by having 169 questionnaires filled by senior managers of construction projects, the importance and priority of each of these 16 criteria and 33 factors for the initial phases of projects were determined according to Iran’s local conditions. Ultimately, through modeling of data by a propagation neural network including 35 hidden layers, the anticipator model for success of construction projects during their initial phases was developed with Performance and Regression. This model is able to anticipate the level of realization of projects’ success criteria according to the level of realization of success factors at the initial phase.