slides on Potential online marketing threats

1. 1
The Tradesmen
Ibne Jobaed
Soton
13-MGT-067
Abubakkar
Siddik
13-MGT-052
Mahmudul
Hasan
13-MGT-006
Shifur
Rahman
12-MGT-040
Nazmul
Hasan
13-MGT-063
Abir
Rahman
13-MGT-065

2. 2
Potential Online
Marketing Threats

3. Ibne Jobaed Soton
13MGT 067

4. The advantages and risks
that social network
marketing holds.
Future opportunities for
social networks, particularly
mobile social networking
Find out the potential online
marketing threats and to recommend
some way to overcome the existing
and future Online Marketing Threats
Allow users to communicate, share
knowledge about similar interests, discuss
favorite topics, review and rate
products/services

5. 5
Concept Clarification
Online Marketing
Online marketing refers to the techniques available to
a business to market, promote, or advertise their
products, services, or brand on the World Wide Web.
Web 2.0
Expansion of Web 2.0 and the ever-increasing
advancement and popularity of online social networks
have had a tremendous impact on the way companies
conduct marketing.
Benefits
Internet marketing enables you to build relations with
customers and prospects through regular, low-cost
personalized communication, reflecting the move
away from mass marketing.

6. Methods of Data Collection
Primary Sources Secondary Sources

8. Literature review
 Online marketing is a new concept in the 21st centuries.
 Nowadays online marketing is well-known to all.
 Many authors have written many books, reports, journals etc. about online
marketing.
 Online/internet marketing refers to advertising and marketing efforts that
use the Web and email to drive direct sales via electronic commerce, in
addition to sales leads from websites or emails
 Several works were performed on online marketing and its potential threats.
We tried to cite them as the literature review as following:

9. “Privacy in the Internet of Things: Threats and
Challenges”had published by Jan Henrik Ziegeldorf, Oscar
Garcia Morchon, and Klaus Wehrle in Aachen, Germany in
2014.
 They defined privacy threats and challenges in the internet marketing are
categorized into seven sectors:
Linkage threat
Identification
Localization and tracking
Profiling
Privacy-violating interaction
Lifecycle transitions Privacy
Inventory attacks

10. “Internet flaws a setback for marketing” had
published by Brewer, E. through New York Times –
Personal Technology on 15 October 1995
 Internal network protection will be a big issue for the companies that wish to
offer their services to Internet-using customers around the world.
 Criminals or other hackers can infiltrate company files and infect them with
a virus, which is then sent to other computers to infect them.
 If the networks are not secured such people could also find important
information about the company.
 Newly publicized weaknesses in the basic structure of the Internet indicate
that the worldwide computer network may need a time-consuming redesign
before it can be safely used as a commercial medium

11. Objectives of the Study
 This study was developed with the intention to;
To explore the real scenario of present situation of Online Market.
To find out potential factors over which user has huge effect.
To measure overall customer satisfaction.
To find out the gap to increase customer satisfaction.
To find out the potential online marketing threats.
To recommend some way to overcome the existing and future
Online Marketing Threats.

12. Md.Mahmudul Hasan
13MGT 006

13. Amenities of online Marketing
Reach Targeted
Customers More
Effectively
.
02
Elimination of
geographic
barriers
01
delivers better
results03
cost effective06
Online Marketing
is Available 24/707
potential growth.
04
elegant communication
.
05
Amenities

14. Online Marketing site in BD
14
Rokomari
.
Daraz
Banglades
h
.
Bagdoom
Bikroy.co
m
Ajkerdeal.com

15. Market Capitalization Of Largest
Online Companies worldwide as of
May 2017

16. Potential Online Marketing Threat
16
01
Economic threat
Cognitive threat
03
Sociopolitical threat
02

17. ShifurRahman
ID: 12 MGT 040

18. Common threats of online marketing
Cognitive
obstacles

19. Cognitive
obstacles
Cognitive obstacles
 Weak legal and regulatory
frameworks (which influence
whether people and enterprises trust
online transactions)
 Cultural preferences for face-to-face
interaction
 Reliance on cash in society
Common threat of online marketing

20. Cognitive
obstacles
Economic barrier
 Inadequate ICT infrastructure and use
 Unreliable and costly power supply
 Limited use of credit card.
 Lack of purchasing power
 Underdeveloped financial system
Common threat of online marketing

21. Cognitive
obstacles
Sociopolitical barrier
 Low level of ICT Literacy
 Awareness and knowledge related to
online marketing among both consumer
and enterprise.
 Low level of experience.
Common threat of online marketing

22. United Nations Conference on Trade and Development (UNCTAD)
Five Caribbean countries
• Technical and managerial expertise
• Telecommunication
• Delivery services
• Not enough government support for business
• Traffic infrastructure (customs delay, shipping cost)
01
04 Malaysia
• Security
• Contractual and financial issues
• Hackers’ intervention
• Lack of IT skilled personnel Privacy
02 Tanzania
• Lack of security
• Lack of privacy
• Lack of information
• Lack of experts
• Lack of computer literacy
• Inappropriate law
03 Costa Rica
• Customer e-commerce propensity
• E-Payment
• Telecommunication
• Delivery
05 Jordan
• Security and trust
• Internet experience
• Enjoyment factor
• Language barrier
• Legal issues
• Technology acceptance (ease
of use and usefulness)
06 Hong Kong
• Short of well-trained staff
• Security concerns
• Customers are not familiar with this mode
of trade
• Inadequate financial resources
• Legal concerns
• Lack of knowledge about techniques of
electronic commerce

23. Threats of online marketing growth in Russia
• Difficult economic situations
• Strong competition
01
02
03
04
05
06
07
08
Economic barrier
Customers barrier
Suppliers and partners
Logistics
Problems inside
company
Trust barrier
Security barrier
Technical barrier
• Customers are not going to pay for
the product before getting it
• Low purchasing capacity
• It's difficult to find reliable partners
•The language barrier with suppliers
• Expensive shipping
• Loss on shipping
• Lack of specific knowledge
• Financial problems
• Trust to the company
• Trust to the internet
• Afraid of sharing information
Limited options of site’s platforms
Threats

24. Nazmul Hasan Refat
13MGT 063

25. Reliability
Competence
Responsiveness
Security
FISHBONEPROCESS
Overall Satisfaction

26. Reliability Statistics
𝑹 𝟐
in regression
model
The value of 𝑅2
(Table:1 ) is 0.999 for overall satisfaction for online
shopping and it implies that the model or explanatory variables explain
9.9% movement of the dependent forthright variables for online shopping
satisfaction in Bangladesh.
Model Summaryb
Mode
l R R Square Adjusted R Square
Std. Error of the
Estimate Durbin-Watson
1
.314a .099 .060 .97147 1.812

27. ANOVA ANOVAb
Model
Sum of
Squares df
Mean
Square F Sig.
1 Regression
9.731 4 2.433
2.57
8
.042a
Residual
88.714 94 .944
Total 98.444 98
The computed value for F (F=2.578, df=4.94) shows that
the model is statistically significant because the p-value
.042<.05 for the ANOVA (Table: 2) indicates that at least
one of the independent variable is capable of influencing
the dependent variable (Overall, online services is useful
and satisfactory.

28. Coefficient
SUCCESS
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t Sig.B
Std.
Error Beta
1 (Constant) 1.203 .783 1.536 .128
Reliability .150 .183 .087 .820 .414
Responsiveness .237 .202 .134 1.175 .243
Competence -.040 .154 -.029 -.258 .797
Security .315 .174 .206 1.810 .074
Here from the regression model revels that from the four
dependent, 3 factors are positively correlated and only 1
negatively correlated to the dependent variable. Table
shows, the standardization Beta Coefficient of
𝑋2 =Responsiveness (t=1.175 and p=.243) and 𝑋1 =
Reliability (t=0.820and p=.414) and 𝑋4 =Security are
found to be (t=1.810 and p=.074) and p>.05 so, the
security of online shopping is statistically insignificant. It
infers that rest of the three factors have a significant
impact on customer satisfaction.

29. H I S T O G R A M

30. Collinearity Diagnostics
Collinearity Diagnosticsa
Model
Dimensio
n
Eigen
value
Condition
Index
Variance Proportions
(Constant) Reliability Responsiveness Competence Security
1 1 4.919 1.000 .00 .00 .00 .00 .00
2 .030 12.729 .02 .24 .02 .65 .03
3 .021 15.267 .06 .18 .00 .03 .94
4 .019 16.243 .05 .24 .59 .32 .03
5 .011 21.072 .87 .34 .39 .00 .01
multicollinearity test shows that all the tolerance value is
less than 5 for all variables. Machiles et al (2013) said
that, if VIF is less than 10 we can say that has no
multicollinearity problem. Through this test, we can
assume that our data has no multicollinearity problem for
regression analysis

31. Abir Rahman
13MGT 065

32. 32
Recommendations
Trust
02
Commitment
01
Loyalty
03
Mutual Goals
04

33. 33
Supportive culture
Internal Marketing
Understanding Customer
expectance
Database Sophistication
New Organizational structure &
reward
Phases of Organization Improvement

34. Conclusion
 Online marketing offers a lot of opportunities
 Besides it creates a lot of threats
 Mentioned different types of Bangladesh
online market threats & a lot of ways to
overcome
 If online marketing is not carefully used it
may create a lot of harmful matters instead
of bringing the blessings.