Research proposal presentation OSM 701 Online Purchasing

1. THE FACTORS WHICH INFLUENCE ONLINE
PURCHASE INTENTION THROUGH LAZADA AMONG
POLICE STAFF IPD DUNGUN, TERENGGANU
RESEARCH PROPOSALRESEARCH PROPOSAL
MAZITA BINTI AHMAD SUBAKER
2017931277
MASTER IN OFFICE SYSTEM MANAGEMENTMASTER IN OFFICE SYSTEM MANAGEMENT

2. TABLE OF CONTENTS

3. INTRODUCTION
www.lazada.com.my
About
Lazada
Source : Internet World Stats. (2014) -
https://www.pearson.com/us/Laudon-E-Commerce2
.html

4. RERE
Asean-6 Digital Population 2018
Source: Internet World Stats. (2018) -https://aseanup.com
Total Average Search Interest Ranking
Source: Internet World Stats. (2017) - http://www.theedgemarkets.c

5. RESEARCH
QUESTION

6. RESEARCH

7. SCOPE OF THE STUDY & SIGNIFICANCE OFSCOPE OF THE STUDY & SIGNIFICANCE OF
THE STUDYTHE STUDY
SCOPE
1.Study about the influence
online purchase among
police staff
2.Only certain variable
measure
3.IPD Dungun, Terengganu
as place to do research
SIGNIFICANCE
1.To the researcher
2.To the Lazada /
Entrepreneur
3.To the future
researcher

8. LITERATURE REVIEW
SUMMARY OF PREVIOUS RESEARCH
(ONLINE PURCHASE INTENTION)
Investigating the Shopping Orientations on Online
Purchase Intention in the e-Commerce
Environment: A Malaysian Study.
Source: Kwek, Tan and Lau (2010).
An Empirical Analysis of Online Shopping
Adoption in Beijing, China.
Source: Clemes, Gan and Zhang (2014).

9. THEORETICAL FRAMEWORK
The theoretical framework on the factors which influence online purchase intention
through Lazada among police staff IPD Dungun, Terengganu
Dependent Variables (IV)
Dependent Variables (DV)

10. RESEARCH HYPOTHESIS
H1: There is a relationship between Brand Name and police staff‘s IPD
Dungun, Terengganu online purchase intention through Lazada.
H2: There is a relationship between Convenience and police staff‘s IPD
Dungun, Terengganu online purchase intention through Lazada.
H3: There is a relationship between Product Variety and police staff‘s IPD
Dungun Terengganu online purchase intention through Lazada.
H4: There is a relationship between Price and police staff‘s IPD Dungun
Terengganu online purchase intention through Lazada.

11. POPULATION & SAMPLE OF
STUDY
Population: The group of units and will be
represented by the particular samples.
Sample Size : Identified by referring to Morgan
Table
Taking the 200 samples as basic numbers of samples, the number of
samples for each department are calculated as below:
a)(Number of total police staff in department) X 100 (%) = y
(Total number of population size in of IPD Dungun,Terengganu)
200 X 100% = 52.63%
380
b) y X N=Numbers of samples needed for each department
0.5263 X N =Number of samples for each department
Morgan Sample Size Table
Source: Krejcie and Morgan (1970)

12. DATA COLLECTION METHOD
PRIMARY DATA
1.Questionnaire (200 qs to target respondents.
2.Questionnaire divide 3 important part:-
2.1 Demographic profile (gender, age,
occupation, monthly income etc) were
required to choose from the given multiple
choice answers.
2.2 General information about the online
purchasing perception& intention of the
respondents. They were required to choose
from the given multiple choice answers.
2.3 The factors of influencing police staff‘s IPD
Dungun online purchase intention through
Lazada (DV) & four independent variables (DV)
which are brand name, convenience, product
variety and price, it is ranging from 1 to 5 where
1= Strongly Disagree and 5= Strongly Agree.
SECONDARY DATA
(from online library, internet etc)
Previous researcher that related:
1. Kwek, Tan and Lau(2010)
2. Clemes, Gan and Zhang (2014)
3. Osman, Benjamin and Bei(2010)
4. Kim (2004)
5. Seock(2003)
Develop Questionnaires from
previous researcher

13. The data will analyze using SPSS (Statistical Package of Social Science)
software version 22.0.
Data Analysis Method
1.Reliability Test
2.Frequency Analysis
3.Descriptive Analysis
4.Mean Value Analysis
5.Correlation Coefficient Analysis
6.Hypothesis Testing
7.Regression Analysis

15. 15
REFERENCES:
Bagdoniene, L., &Zemblyte, J. (2009). Online Shopping Motivation Factors and Their Effect on Lithuanian Consumers. Economics &
Management, 14, 367-374.
Clemes, M. D., Gan, C., & Zhang, J. (2014). An Empirical Analysis of Online Shopping Adoption in Beijing, China. Journal of Retailing and
Consumer Services, 21, 364-375.
Dabhade, A. (2008). Antecedents of Older Consumers' Internet Shopping for Apparel Products: Perceived Risk and Benefits and Shopping
Orientation. Unpublished Master‘s Thesis, Auburn University, Auburn, Alabama, United States.
Kim. J. (2004). Understanding Consumers‘ Online Shopping and Purchasing Behaviors. Unpublished Doctoral Dissertation, Graduate College
of Oklahoma State University.
Kwek, C. L., Tan, H. P., & Lau, T. C. (2010). Investigating the Shopping Orientations on Online Purchase Intention in the e-Commerce
Environment: A Malaysian Study. Journal of Internet Banking and Commerce, 15(2), 1-22.
Nik Mat, N. K., Meor Ahmad, S. S. (2005). Determinants of Online Shopping Intention. Proceedings of International Conference on E-
Commerce, Universiti Utara Malaysia.
Osman, S., Benjamin, C. Y., &Bei, H. (2010). Undergraduates and Online Purchasing Behavior. Asian Social Science, 6(10), 133-146.
Park, E. J., Kim, E. Y., Funches, V. M., & Foxx, W. (2012). Apparel Product Attributes, Web Browsing, and E-impulse Buying on Shopping
Websites. Journal of Business Research, 65, 1583–1589.
Seock, Y. K. (2003). Analysis of clothing web sites for young customer retention based on a model of customer relationship management via
the Internet. Unpublished Doctoral Dissertation, Virginia Polytechnic Institute and StateUniversity.
Sultan, M. U., & Uddin, M. N. (2011). Consumers’ Attitude towards Online Shopping: Factors influencing Gotland consumers to shop online.
Unpublished Master‘s Thesis, Högskolanpå Gotland.
Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance
model. Information & Management, 41, 747–762.