Đang tải... (xem toàn văn)
Trend of domestic and international market during period 2003-2006
I. TASK 1 1.1. Introduction Everpia Vietnam is a company from Korea which invested in Vietnam since about two decades ago. The company specializes in bedding furnishings. With the famous brand name Everon, Everpia has produced a lot of products which is served for the sleep of Vietnamese. Some of Everpia products are blankets, mattresses, quilts, sheets, pillows, etc, … Everpia Vietnam now has three factories in Dong Nai, Gia Lam (Hanoi).With the ambition of expanding the market in Vietnam, Everpia wants to build one more manufacture building in the North of Vietnam to meet the need of customers. Before doing other necessary tasks, the first stage of this project is to carry out the suitable location for new branch. Our team is delegated to implement this study and we must find the most suitable one depend on the following criteria: • The location we choose need to have a number of small and medium Vietnamese enterprises (SMEs) specializing in textiles. There will be more potential subcontractors of Everia. • The more geographically concentrated textiles SMEs, the more likely this area will be selected. Everia likes to choose the location where have more focused on textiles. The advantage of that is short distance between Everia and subcontractors to reduce costs, increase efficiency. • Everia likes province with better production capacity and behavior of textile SMEs towards their partners. It is difficult to find the province that satisfies all above criteria, so Everpia Vietnam decides to select three provinces which satisfy the first two criteria to study. They are: Hanoi, Hai Duong, and Nam Dinh. From the study in three provinces, we will choose the best one for Everpia’s new branch. 1.2. Methodology 1.1.2. Data collection plan To find the most suitable place for Everpia, our team will carry out the plan for collection of necessary data (primary data and secondary data). 1 a. Secondary data: We should carry out secondary data before primary data to find the necessary information for sampling and find suitable information for our objectives. There are many sources to get secondary data. We can find data about list of SMEs from taxation office or Ministry of Planning Investment (MPI). The data of provinces, their geography and firms’ density comes from the General Statistics Office (GSO) of Vietnam at website http://www.gso.gov.vn and Atlas Vietnam at website http://www.worldatlas.com. In GSO, our team also can find the information on the activities of firm and its size. In secondary data, we get information from reputed institution so the correctness of the data we collect can be ensured. However, the data from these organizations can not cover all the information that Everpia needs. b. Primary data: The primary data comes when we carry out our survey. We will collect data ourselves basing on what we need to know about the potential of 3 provinces that we will do research. The primary data can be collected by many ways, such as interview, postal or face-to-face questionnaire. Although with direct interview, sample selection is more accurate and we can understand the behavior of interviewees, we should not choose this method because of its high cost and long time when we carry out interview all firms. In addition, people can do not want to talk with stranger and answer may be refused. Therefore, we should choose questionnaires in this case. However, because of the difference between different firms’ location, we will choose face-to-face questionnaire for some around firms and with distant ones, we will use postal questionnaires. This will help us save time and money when carry out the survey. An important point is that the questionnaires must relate to the objective of our research. It is to find out firm’s production capacity and their behavior towards clients. In addition, we also need to know the information about their fixed capital, the number of employees, employees’ education and skills, the education and experience of management and credibility in debts, liquidity, and delivery on time. Another advantage of this method is that the information is collected by ourselves so we can ensure the quality of the survey as well as the accuracy of the questions we want to 2 ask. However, we can not cover all the range that we want to do research because it spends a long time as well as costs a lot of money. The solution for this is the sampling method which will be presented in the next stage. 1.2.2. Sampling method Because of the high cost and time-consuming when we collect data from all firms, we need to use sampling method before collecting primary data. A sample also allows investigating more detail information. In three chosen provinces, assuming that there are 400 firms of textile, we will take a sample of 100 firms to do the study (equally to 25% of total firms). There are many methods of sampling such as random, systematic, stratified, multi- stage, and so on. Each method has itself advantage as well as disadvantage. However, in this case, our team decides to choose multistage sampling. Although this method has some disadvantages (such as only a small number of firms are selected or the chosen firms may be not reflect the whole firms in areas when we use random method in any stage); it helps us to cut down number of firms and reduce cost. It can clearly see that if we collect data from all firms in areas, the money and time we must spend is very high. Beside that, if we choose other method, it is easy to make error because of large number of firms in the population. Therefore, multistage is the most suitable one in this case. All the steps of sampling will be detailed in the following part. To get data including detail of all firms such as names, addresses, telephone, business activities, etc … from 3 selected provinces; we enter the Agency for SME development (ASMED) of MPI and the Vietnam Chamber of Commerce and Industry (VCCI). From these organizations, we also get the sampling frame as well as the proportion of codes. After this stage, we know the number of firms in each provinces and digit. (Figure 1) 3 Figure 1. Number of firms in 3 provinces. Moreover, there are 100, 80 and 220 textiles firms in Ha Noi, Hai Duong and Nam Dinh respectively, so the sample will includes 25 firms in Hanoi, 20 ones in Hai Duong and 55 ones in Nam Dinh. However, we must make sure that the proportion of each sub- industry in the sample is the same as in the population. The stratified method is used in this stage. According to ISIC Rev.3.1 code 17, we have the code for three-digit sub-industries that Everia is interested in : 171 – Spinning, weaving and finishing of textiles 172 – Manufacture of other textiles 173 – Manufacture of knitted and crocheted fabrics and articles Stratifying variable is sub-industries with code 171, 172, 173. Due to the proportion of codes we have in prior stage, with Ha Noi, we have the sample includes: Firms with code 171: 5 firms Firms with code 172: 12 firms Firms with code 173: 8 firms We will take sample of 5 firms with code 171; 12 firms with code172; 8 firms with code 173 in Ha Noi. These firms in each code are chosen by random sampling. 400 firms Hanoi 100 firms Hai Duong 80 firms Nam Dinh 220 firms Code 171 20 firms Code 172 48 firms Code 173 32 firms Code 171 16 firms Code 172 24 firms Code 173 40 firms Code 171 56 firms Code 172 92 firms Code 173 72 firms 4 Finally, we do the same steps in Ha Noi with Hai Duong and Nam Dinh. Thus, we will do research with: +In Hai Duong • 4 firms with code 171 • 6 firms with code 172 . • 10 firms with code 173 +In Nam Dinh • 14 firms with code 171 • 23 firms with code 172 • 18 firms with code 173 Figure 2. Number of firms after multistage sampling 100 firms Hanoi 25 firms Hai Duong 20 firms Nam Dinh 55 firms Code 171 5 firms Code 172 12 firms Code 173 8 firms Code 171 4 firms Code 172 6 firms Code 173 10 firms Code 171 14 firms Code 172 23 firms Code 173 18 firms 5 To sum up, we have following steps: 1. 2.3 .Survey method After choosing 100 firms to do research, we must know what type of survey we will use- Questionnaire or Interview or Focus group? Selected survey method must be the most suitable in situation of Everpia. For this survey, our team decides to choose face-to-face questionnaire for some around firms and with distant ones, we will use postal questionnaires. This will help us save time and money when carry out the survey. Postal questionnaire is sent to firms that we want to survey. We also can use e-mail or tax in this case to help these firms can het our questionnaire earlier. Firms can answer our question freely with much time. However, the response of firms with this kind of survey is very low and sometimes they can not understand the question so Everpia can not receive necessary information. Therefore, we need to explain clearly about our purpose of this questionnaire and also need send it to the people who have high responsibility in these companies such as managers or marketing departments. Get list of firms and proportion of each code Construct the sampling frame Determine sample size and suitable sample method Determine number of firms of each code in each province in sample Choose sample 6 With face to face questionnaire, we will meet directly the firms that we want to questionnaire. Thus, the respond of this is high and we can explain clearly to firms about the questions. However, the cost of traveling is very high so we just apply face to face questionnaire with some around firms which have no response to postal questionnaire. 1.2.4. Questionnaire Questionnaires are used in our survey method. Thus, we need be careful to design a series of questions. As the prior part concerned, an important point is that the questionnaires must relate to the objective of our research. It is to find out firm’s production capacity and their behavior towards clients. In addition, we also need to know the information about their fixed capital, the number of employees, employees’ education and skills, the education and experience of management and credibility in debts, liquidity, and delivery on time. Due to this aim, our questionnaire includes: -Question 1 to 4 : general information and classifying firms -Question 5 to 12 : assessing employees and managers -Question 13 to 20: checking activities of firms and their behavior towards clients and partners. Different formats are applied i.e. multiple choice (question 2- 7, 9), rating scale (question 10), yes-no format (question 8, 13, 16), open-ended question (question11, 12, 14, 15, 17-20) 7 II. TASK 2 Representative values, histogram and cross table for the data set taken from a survey on a sample of students at the University of New South Wales, Australia. 2.1. Representative values, quartiles, and histogram 2.1.1. . Expected salary (USD/year) a. The representative values: In order to find out the performance of the students at the University of New South Wales, Australia, we must go through the representative values which show its best picture. The representative values are mean, mode, median and coefficient of skewness (COS). • Mean = 48 699.8, this data represents that the average salary which each of student expects per year is $48 699.8. • Median = 40 000. This means there are 50 per cent students expect their salary is more than 40 000 USD per year and 50 per cent of them satisfy with salary of less than 40 000 USD per year. • Mode = 40 000, it shows the salary which are expected by the most students (95 ones) a year. • The skewness of data distribution: The shape of distribution is represented by Coefficient of skewness (COS). Applying the formular: C of S= 3* (mean-median)/ standard deviation => C of S= 3(48 699.8-40 000)/ 53 756.61= 0.4855 As C of S is positive, the distribution is skewed to the right. We have: Mean > Median = Mode b.Quartiles (Q) 8 Q1=30,000 (USD) Q2= 40,000 (USD) Q3= 50,000 (USD) c.Histogram 2.1.2. Age a. The representative values: • Mean = 22.48, this means that the average age of student in this university is 22.48 years old. • Median =21. From this we have 50% students are less than 21 years old, 50% students are more than 21 years old. • Mode = 22. This shows that 22 is the most frequency age of students of this university. • The skewness of data distribution: The shape of distribution is represented by Coefficient of skewness (COS). 9 Applying the formular: C of S= 3* (mean-median)/ standard deviation => C of S= 3 (22.48-21)/6.38 = 0.696 We have: Mean >Mode > Median As C of S is positive, the distribution is skewed to the right. Three values (mean, median, and mode) are not much deviation; most of observations are around them. b. Quartiles Quartile 1=21 Q2=21 Q3=24 d. Histogram 2.1.3. Cultural background a. The representative values: • Mode: Chinese >> Most of students have cultural background is Chinese. b. Chart 10