marketing research ait alumni & students online network bangkok, october 2003
TRANSCRIPT
2
Team Members
Part 1 - Concept: Nguyen Anh TuanNguyen Thuy Mai
Part 2 - Research Design: Nguyen Thanh HaTran Lan Anh
Part 3 - Analysis & Direction: Le Tien HaiNguyen Xuan Tien
4
Rationale
Huge & various knowledge resources with same educational philosophy of AIT;
Needs for application of educational knowledge into the real life;
Mutual benefits; A playing room for exchange
information and idea; Power of IT;
5
Problems
Un-updated and offline network; Non-commercialised network; No-often contacts after coming back
home; No current status has been known; Difficult to know expertise and
contacts when needed; No-often contacts between home and
campus;
6
Objectives
To research the needs for setting up an online network via WEB;
To research expectations of users; To research potential services in the WEB; To research chance for commercialisation; To research fee structure and price for
service usage; To work out possible operational
mechanism for the WEB;
7
Segments
Structured questionnaire survey: Level 1 - Study status
Alumni Students
Level 2 - School & programs SAT SCE SERD SOM
Level 3 - Degree D Eng, D Tech Sc, PhD, M Eng, M Sc, MBA, M
Eng (P), Diploma. Focus group:
Thai, VN, China, Bangladesh, Philippine, Nepal, Sri Lanka, India.
8
Services
Job Forum Business contacts Advertisement Make friends Chatting Game Study exchange Social activities (Charity, donation, Education: Book store, library, advisor Web link
9
Information needs
Secondary research Current network, contents, design; Numbers of alumni and students by
segments; Other web for reference on design,
operations, services; Primary research
Needs and expectation of users from the new online WEB;
Users’ expected services from the WEB; Idea on fee structure, price, operations of
the WEB;
10
Information sources
AIT web; AIT management; AIT student union for each nation; National AIT alumni contacts in
selected countries; Other webs; Data from feedback questionnaires
and focus group discussion;
12
Methodology
Survey Mailing questionnaires: Cost saving,
unlimited numbers of mails, dispersed location, simple questionnaire, no need interaction with respondents;
Focus group Selected nationalities for cultural issue
analysis which affected web set up;
13
Sampling & how to access
Survey Population by segments including three
levels Sample size: 10% of population plus 5%
for un-received mails; Stratified random selection for sending
questionnaires; Using national coordinators;
Focus group Meeting organised through national
coordinators in selected countries;
14
Sampling examples
22%
32%
36%
10%
SAT
SCE
SERD
SOM
Segmentation by school
12,000
1,800
Alu
Stu
Segmentation by Alumni/ Student
588 272 126
14,416
6,293
1,30730 289
-
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
D Eng
D Tech
Sc
PhD
M E
ngM
Sc
MBA
M E
ng (P
)
Diplom
a
Series1
Segmentation by degree
15
Questionnaire structure
Questionnaire introduction Purpose; Benefits;
Questionnaire body Current network assessment; New network need assessment;
Services provided; Pricing; Promotion;
Demographic information
17
Coding
Question number: 1 - n; Variable number: For each segments
(questionnaire survey) and each nationality (focus group);
Description: Contents of questions; Format: Excel/ applicable software; Coding note: Scale 1 - 5 and 0 for no
response; Inputs into computer for analysis;
18
Techniques
Univariate data analysis To analyze it is necessary to set up the
online network for AIT alumni & students; To analyze the attitude to the new
network attributes; Bivariate data analysis
To analyze the expectations of services in the online network;
Multivariate data analysis - Dependence methods - Multi regression To measure the willingness to pay for
each levels of services;
19
How to analyse
Univariate data analysis (Mean/ Std.)
Sample size Results
1 0 1 2 3 4 5 60%
2 0 1 2 3 4 5 10%
3 0 1 2 3 4 5 15%
4 0 1 2 3 4 5 15%……9989991000Total 100%
Note:0: No calculation1, 2: No go3: Consideration and further analysis4, 5: Go
Coding note
Example for Univariate Data Analysis
20
How to analyse
Univariate data analysis (Mean/ Std.)
Attribute Mean Std Valid N
Recruitement
Business
Education
Social activities
Entertainment
Other links
Means of Attitutes about the new network
21
How to analyse (con’t)
Bivariate data analysis (Y = a + bx)
Attributes/ ServicesAlumni & Students Schools Degree
Recruitment
Business
Education
Social activities
Entertainment
Other web links
Segments
Factors for Biviate Data Analysis
22
How to analyse (con’t) Multivariate data analysis - multiple regression:
Coefficent, standard error, t statistics and Multiple R2
Equation for a three-independent-variable would be: Yi = a +b1X1+b2X2+b3X3
Y = The customer willingness to pay X1= Level 1 of Service (Viewing) X2= Level 2 of Service (Download) X3= Level 3 of Service
(Advertisement)
23
Result & direction
Present data results: Use table calculated results for each question;
Explain data results: Level of satisfy of AIT alumni & student
with current database net work; Level of needs for setting up an online
database network; The different level of needs from
different segment (alumni/ student - schools - degrees) toward specific products/ services (…?);
Level of willingness to pay fee;
Questions Mean Std Valid N
4.53 0.8 1,000 Question 7 - Do you see the need to set up a new network?
24
Result & direction (con’t)
Conclusion & recommendations: “GO” or “NO GO” decisionIf “GO” decision, provide recommendations on
marketing mix: Products & services: How to design the web
to satisfy the needs from different segments Pricing Strategy Advertising method Next steps: further deep research if needed,
...