Consumer buying behavior towards online shopping: An

empirical study on Dhaka City, Bangladesh

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Mohammad Anisur Rahman, Md. Aminul Islam, Bushra Humyra Esha, Nahida Sultana and
Sujan Chakravorty

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Accepted Manuscript Version

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© 2018 The Author(s). This open access article is distributed under a Creative Commons
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Attribution (CC-BY) 4.0 license.

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Publisher: Cogent OA
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Journal: Cogent Business & Management

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DOI: http://dx.doi.org/10.1080/23311975.2018.1514940

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 Consumer buying behavior towards online shopping: An empirical study
on Dhaka City, Bangladesh
Mohammad Anisur Rahman
Associate Professor

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Department of Management Information Systems (MIS)

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University of Dhaka, Bangladesh
E-mail: anisur@du.ac.bd

Md. Aminul Islam

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Lecturer
Department of Management Information Systems (MIS)
School of Business

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Independent University, Bangladesh
E-mail: aminul.research@gmail.com

Bushra Humyra Esha

anLecturer
Department of Business Administration
Faculty of Business and Economics
East West University, Bangladesh
E-mail: esha_bushra@ewubd.edu
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Nahida Sultana
Lecturer
Department of Business Administration
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Bangladesh University, Bangladesh

E-mail: nahidaprity.du@gmail.com

Sujan Chakravorty
Independent Researcher
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E-mail: rinku.sujan@gmail.com

Abstract:
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The World Wide Web has propelled in no small extent of changes in the attitude and behavior
of people all over the world. Due to this blessing, online shopping has emerged which
influenced the lives of ordinary citizens. Online shopping has also been started in Bangladesh,
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but consumers are not much habituated yet to go online shopping frequently. This study is
undertaken to understand the behavior of online shoppers through a self-constructed
questionnaire of 160 respondents from Dhaka city. The survey reveals that consumers shop
online to save time, and for available varieties of products and services. Both male and female
both have the same type of behavior towards liking and disliking factors; they like home
delivery facility and dislike inability to touch and feel the product most. They acquire online
shopping information from websites especially from the social network and purchase apparels,
accessories mostly through cash on delivery method of payment. The most of the consumers

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 are concern about the security of the payment system, and their overall online shopping
satisfaction is mixed.

Key Words: Consumer, Behaviour, Online Shopping, e-commerce, Dhaka, Bangladesh

1. Introduction:

Online shopping is the easy solution for busy life in today’s world. In the past decade, there had

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been a massive change in the way of customer’s shopping. Despite consumers’ continuation to

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buy from a physical store, the users or buyers feel very convenient to online shopping. Online
shopping saves crucial time for modern people because they get so busy that they cannot or
unwilling to spend much time shopping.

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In the 21st century, trade and commerce have been so diversified that multichannel has taken

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place and online shopping has increased significantly throughout the world (Johnson,
Gustafsson, Andreassen, Lervik, & Cha, 2001). Globally e-commerce constituted about 2.29
trillion dollar market (John, 2018) and expected to reach four trillion dollar by 2020
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(eMarketer, 2016) due to the double-digit worldwide growth in sales (15%) and order (13%)
(eMarketer, 2018) in all sorts of e-commerce such as business-to-business (B2B), business-to-
consumer (B2C) (Zuroni & Goh, 2012).
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Asia Pacific region is leading the growth of online shopping as compared to the mature market
such as the US, UK, Japan and European Countries. The Asia Pacific recorded massive growth,
especially in China. In 2016 Asia Pacific region made about $1 trillion in online sales and
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majority came from China constituting about $899 billion (eMarketer, 2016). With more and
more consumers become increasingly familiar with the internet and its benefit, online shopping
is becoming popular and getting preference among a group of consumers seeking better value
proposition regarding information, convenience, cost, choice. Like other young Asian citizens,
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youngsters in Bangladesh are experimenting with new ways of shopping that have led to the
popularity and growth of online shopping in Bangladesh.
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Unlike a physical store, all the goods in online stores described through text, with photos, and
with multimedia files. Many online stores will provide links for much extra information about
their product. On the other hand, some online consumers are an adventurous explorer, fun
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seeker, shopping lover, and some are technology muddler, hate waiting for the product to ship.
Consequently, online consumer behavior (user action during searching, buying, using products)
became a contemporary research area for an increasing number of researchers to understand
this unique nature of online shopping.

The primary goal of a business is to offer product and services that best serve their consumer
needs. A business which fulfills the customer needs with satisfaction very well is more
successful than its competitors as satisfied buyers tend to make a repetitive purchase.

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 Moreover, in Bangladesh, online shopping has been evolving fast and has the potential to grow
exponentially in time to come, as internet penetration reaches far and wide across the rural
areas. However, it is also true that Bangladeshi people are traditionally conservative in their
approach to shopping due to modernization and fast-paced life, dependence on online shopping
will increase. Thus, the purpose of this study is to understand the consumer behavior towards
online shopping, their liking, disliking, and satisfaction level.

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2. Methodology:

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To understand the consumer behavior of newly launched online shopping in Bangladesh, we
have undertaken a descriptive study through a survey by forming a self-constructed
questionnaire considering the research objective. A Likert five-point scale ranging from

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strongly agree to strongly disagree been used to collect a quick response from the respondents.

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Convenient non-probability sampling method has been adopted in this study to acquire data
from respondents in Dhaka city where about 50% e-commerce customers reside
(Jagonews24.com, 2015) in Bangladesh. A convenient sampling method is easy to implement
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and cost-effective and more common in IS research that gets higher response rate (Eze,
Manyeki, Yaw, & Har, 2011; Ritchie, Lewis, Nicholls, McNaughton, & Ormiston, 2014). We
have targeted 200 respondents belong to different age-group, student, service holder, business
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person and the homemaker with various experience in online shopping for a personal interview
and 179 participated in the survey resulting in 90% response rate. However, after sorting 160
useful and valid responses were used for further analysis. Accumulated data were analyzed
through Microsoft Excel.
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3. Literature Review:

Online shopping indicates electronic commerce to buy products or services directly from the
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seller through the internet. Internet-based or Click and Order business model has replaced the
traditional Brick and Mortar business model. More people than before are using the web to
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shop for a wide variety of items, from house to shoes to airplane tickets. Now people have
multiple options to choose their products and services while they are shopping through an
online platform.
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Online shopping has unique characteristics. (Huseynov & Yıldırım, 2014) emphasized that the
lack of physical interaction tend to be the critical impediment in online retail sales followed by
the privacy of individual information and security of financial transactions over the internet.
(Demangeot & Broderick, 2010) also revealed that perceived ease of use does not affect the
behavioral pattern in this case rather influenced by security and privacy issues. No relationship
is built between the customer and the online shop in the presence of perceived online risk even
if a customer spent hours on the internet (Zuroni & Goh, 2012).

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 Day by day taste, preference and choices are varying regarding different factors such as the
internet emergence. However, this development needs some more understanding related to the
consumer's behavior. Consumer behavior research identifies a general model of buying
behavior that depicts the processes used by consumers in making a purchase decision (Vrender,
2016). Those designs are paramount to the marketer as they can explain and predict consumer
purchase behavior.

(Jarvenpaa, Todd, Jarvenpaa, & Todd, 2013a) proposed a model of attitude, behavior, and

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shopping intention towards internet shopping in general. The design includes several indicators
classified into four broad categories like product value, quality services offered through the
website, the shopping experience, and the risk perception of the online shopping. (Chang,
Cheung, & Lai, 2005) studied categories of variables which drive online shopping activity. In

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their study, they divided the features into three broad categories. Perceived characteristics of

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the web sale channel are the first one which includes risk, online shopping experiences,
advantage, service quality, trust. The second category is a website and product features which
are risk reduction measures, site features, and product characteristics; and the last group is
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consumer characteristics. Various types of features, demographic variables, consumer shopping
orientations, consumer innovativeness and psychological variables, computer, internet
knowledge, and usages drives consumer characteristics.
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Consumer attitudes toward online shopping usually been determined by two factors; one is
trust, and another is perceived benefits (Hoque, Ali, & Mahfuz, 2015). Therefore, trust and
perceived benefits seem to be the critical conjectures of consumer behavior toward online
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shopping (Al-Debei, Akroush, & Ashouri, 2015; Hajli, 2014). Moreover, information quality,
merchandise attribute, website design, transaction capability, payment, security/privacy,
delivery, self-consciousness, state of mind, the consumer's time sense and customer service are
strongly predictive of online shopping satisfaction (Katawetawaraks & Wang, 2011; Liu, He,
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Gao, & Xie, 2008; Mudambi & Schuff, 2010; Novak, Hoffman, & Yung, 2000; Shergill &
Chen, 2005; Sorce, Perotti, & Widrick, 2005).
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In Malaysia, information quality and purchase quality linked with the post-purchase quality are
statistically significant in the case of customer satisfaction (Vegiayan, Ming, & Harun, 2013).
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However, brand image and quality of products, goodwill of country of origin also influence
significantly on purchase intention of online products (Haque et al., 2015). Moreover, online
data extraction about the products, services along with the historical data for individual
customers is ingredient element to choose an online store or make re-purchase decision (Liao,
Chu, Chen, & Chang, 2012).

(Koufaris, 2002) identified that both shopping enjoyment and perceived usefulness (website)
strongly predict the intention to re-purchase over online. On the contrary, (Lee & Lin 2005)
found shopping enjoyment can increase the intent of new customers but doesn't influence

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 customers to return. In fact, the web store which utilizes value-added mechanisms in the search
engine and providing customers a challenging experience may increase customers' shopping
enjoyment. Furthermore, if there are more often customers back to the web store, their
shopping enjoyment then be determined by their involvement with the product (Marios
Koufaris, Kambil, & LaBarbera, 2001)

Also, demographic variables such as age, gender, and level of income play a facilitating
role because they influence consumer perception and consumer behavior that drives them

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towards online shopping (Kim, Zhao, & Yang, 2008; Laforet & Li, 2005; Sabbir Rahman,
2012). In China, online shopping intention depends on consumers’ age, income and education
as well as marital status most importantly their perceived usefulness (Gong, Stump, & Maddox,
2013). For more succinct understanding Table 1 summarizes the previous study results on

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online shopping followed by advantages of online shopping (table 2) and disadvantages of

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online shopping (table 3).

Table 1: Previous Study Results of Consumer Behavior of Online Shopping

Title Findings
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Identifying key factors The user interface quality, product and service multiple regression analysis was done (Park & Kim, 2003)
affecting consumer information quality, security perception and site on data collected through web
purchase behavior in an awareness were found to have significant effects on
online shopping context consumer’s site commitment. They investigated
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whether information satisfaction and relational benefit
play a significant mediating role in consumers’
relationship purchasing behavior.
Consumer attitudes towards The empirical findings of this study indicate that trust Factor analysis and structural path
online shopping: The and perceived benefits determine consumer attitudes model analysis was used to test the (Al-Debei et al., 2015)
effects of trust, perceived toward online shopping. hypothesized relationships of the
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benefits and perceived web research model.

quality
(Jordan)
Factors influencing Chinese consumers' age, income, education and marital Hierarchical regression analysis is (Gong et al., 2013)
consumers' online shopping status, and their perceived usefulness are significant used on 503 Chinese customers
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in China predictors of online shopping intention.

Customer perceptions of e‐ The analytical results showed that the dimensions of Confirmatory factor analysis and
service quality in online website design, reliability, responsiveness, and trust structural equation modeling are done (Lee & Lin, 2005)
shopping affect overall service quality and customer satisfaction. on data collected from a sample size
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Moreover, trust significantly related to customer of 297 online consumers.

purchase intentions. However, the personalization
dimension is not significantly related to overall service
quality and customer satisfaction.
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Internet users’ attitudes Lack of physical interaction is a central impediment to Descriptive statistics techniques (Huseynov & Yıldırım,
toward business-to- online retail sales. Respondents stated that privacy of analyzed Survey-based data, and the 2014)
consumer online shopping personal information and security of financial results of the data analysis are
transactions are their top concerns with using the presented
Internet. The top factors that increase consumer trust
levels in online stores are guarantee and insurance
policy, security and privacy seals, pictures of products,
company address and contact details, necessary details
about the company and privacy policy.
An Empirical Study on The effect of demographic characteristics like income, Consumer intention in web-based (Kim et al., 2008)
Behavioral Intent of gender, occupation, education levels, a sector of shopping is analyzed through the
Consumers in Online employment is found to be statistically insignificant on comparison of the factors that
Shopping both behaviors for products as well as services intention facilitate or inhibit online purchasing
and purchase behavior in the online environment for of products and services using the
products and services. theory of planned behavior

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 Title Findings Methodology Author
Regarding actual behavior, it is the ease of use, past
experiences, and compatibility that are much more
effective in determining the behavior.

Consumer Behavior in Perceived control and shopping enjoyment can increase Exploratory study (Marios Koufaris et al.,
Web-Based Commerce: An the intention of new Web customers to return, but 2001)
Empirical Study seemingly do not influence repeat customers to return.
It also finds that a Web store that utilizes value-added
search mechanisms and presents a positively

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challenging experience can increase customers'

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shopping enjoyment.
Further, the more often customers return to a Web
store, the more their shopping enjoyment is determined
by their product involvement.
Consumer Reactions to World Wide Web merchants need to think more about Experimental survey (Jarvenpaa et al., 2013)
Electronic Shopping on the how they perform on the factors known to affect Focus group discussion

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World Wide Web consumer behavior; namely, product perceptions, Dana analysis through regression
shopping experience, and customer service. analysis

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Factors Influencing There is a significant relationship between e-commerce One-way ANOVA (Zuroni & Goh, 2012)
Consumers’ Attitude experience, product perception and customer service Pearson’s correlation
Towards E-Commerce with the attitude towards online shopping among the
Purchases Through Online respondents. There is no relationship of hours spent on
Shopping internet and customer risk with the attitude towards
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online shopping among the respondents
A Study on Consumers’ This research found that there were relationships Multiple Regression Analysis (Jun & Jaafar, 2011)
Attitude towards Online between the perceived usability, perceived security,
Shopping in China perceived privacy, perceived after-sales service,
perceived marketing mix, perceived reputation and
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consumers’ attitude to adopting online shopping in
China. Only marketing mix and reputation have a
greater influence on consumers’ attitude towards online
shopping
Influencing the online This study classifies the main ingredients of the online review of previous six years’ research (Constantinides, 2004)
consumer’s behavior: The experience or Web experience as being:
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Web experience the functionality of the Website that includes the

elements dealing with the site’s usability and
interactivity;
the psychological elements intended for lowering the
customer’s uncertainty by communicating trust and
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credibility of the online vendor and Web site; and

the content elements including the aesthetic aspects of
the online presentation and the marketing mix
The Impact of Social A significant correlation between customers’ Regression Analysis Method (Alsubagh, 2015)
Networks on Consumers' interaction with UGC and customers’ buying behavior
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Behaviors
Online Shopper Behavior: Factors that motivate customers to buy online include Descriptive analysis (Katawetawaraks &
Influences of Online convenience, information, available products and Wang, 2011)
Shopping Decision service and cost and efficiency.
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Factors that impede customers to buy online include

security, the intangibility of online product, social
contact and dissatisfaction with online shopping
Online Shopping and Information quality, purchase quality, and post- Reliability analysis (Vegiayan, Ming, &
Customer Satisfaction in purchase quality have a statistically significant Correlation analysis Harun, 2013)
Malaysia relationship with customer satisfaction in Malaysia Multiple regression analysis

A Study of Indian Online • The ratio of male consumers is very high in online Primary data has been collected from (Rastogi, 2010)
Consumers & Their Buying shopping (73%) 200 respondents and analyzed
Behavior • Income of respondents largely falls in the bracket of
Rs. 10,001 to Rs. 20,000 (49%)
• Employees of various companies are purchasing more
than others through online shopping (51%)
•Maximum numbers of respondents (38%) feel that
online shopping has easy buying procedures; others

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 Title Findings Methodology Author
think that they can have a wide variety of products,
Lower price of the products, various modes of
payments, etc.
• Most of the respondents think that Availability of
online information about Product & Services is
excellent (54%)
• Most of the respondents purchase the products 2 to 5
times annually (46%)
•Some respondents are facing problems at the time of
online buying (23%)
• Most of the respondents Search and buy online but

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pay in cash on delivery (61%)

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Initial trust and online It is found that perceived usefulness, perceived The research examines consumers' (Chen & Barnes,
buyer behavior security, perceived privacy, perceived good online initial trust by using four 2007)
reputation, and willingness to customize are the significant categories of
essential antecedents to initial online trust. Both determinants: perceived technology,
online initial trust and familiarity with online perceived risk, company competency,
purchasing have a positive impact on purchase and trust propensity.

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intention.
Data has been analyzed through:

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descriptive statistics;
reliability, validity and correlation
analysis;
Regression analysis
Analysis of variance
Understanding online
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As the profile data show, this group is relatively An empirical study on 228 students. (Heijden, Verhagen,
purchase intentions: homogeneous regarding age and balanced regarding Reliability and validity test & Creemers, 2003)
contributions from internet experience. It is found that the trust-antecedent Structural Equation Modelling (SEM)
technology and trust ‘perceived risk’ and the technology-antecedent estimation
perspectives ‘perceived ease-of-use’ directly influenced the attitude
towards purchasing online.
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An Empirical Investigation The findings of the study show that all the four (Hoque et al., 2015)
on the Adoption of E- constructs, Namely-Computer Self Efficacy, Perceived
Commerce in Bangladesh Credibility, Perceived Usefulness and Perceived Ease TAM (Technology Acceptance
of Use have a significant effect on the adoption of e- Model)
commerce. The study has also demonstrated that
Perceived Usefulness appeared as the most critical Two hundred sample were examined.
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factor in describing the user's adoption of e-commerce.

Web-Based Shopping: This research found that website design, website Factor analysis and a series of (Shergill & Chen,
Consumers' Attitudes reliability/ fulfillment, website customer service and ANOVA test of factors were done on 2005)
Towards Online Shopping website security/privacy are the four dominant factors responses from 102 samples
in New Zealand which influence consumer perceptions of online
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purchasing. One of the results also indicated that

different types of online purchasers (i.e., trial,
occasional, frequent and regular online buyers) have
different appraisals of website design and website
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reliability/ fulfillment. They have a similar evaluation

of website security/privacy and website customer
service.
Mining customer This study finds some online group buying buyers are This study uses the Apriori algorithm (Liao et al., 2012)
knowledge for exploring more from the high-income group and prefers to pay by as an association rules approach, and
online group buying credit card and ATM. They want 24/7 customer service clustering analysis for data mining,
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behavior and well feedback. which is implemented for mining

customer knowledge among online
group buying customers in Taiwan.
A study of the impact of The study shows the influence of social network on The study was conducted on 237 (Hajli, 2014)
social media on increased trust and intention to buy. respondents through online and
consumers paper questionnaires. SEM-PLS
used to validate the proposed model

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 3.1 Advantages of Online Shopping:

Table 2: Advantages of Online Shopping

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Advantages Description
Save Time If someone has the specific list of shopping orders of
what he wants to buy, he can buy instantly with just a
few clicks of the mouse from a site and can move to

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some other important work. Thus can save his time.

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Save Energy Online Shopping saves energy because someone does
not need to go to a physical store by wasting his energy
on shopping.
Comparison of Price It is effortless and straightforward to conduct a price
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comparison from one online shopping site to another.
With just a few clicks the advanced innovation of
search engine allows everyone to check price and
compare.
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24/7 Availability Online Shopping gives one the freedom to shop at one’s
pace and convenience because online shopping store is
open 24/7, seven days a week and 365 days.
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Remove Waiting Line Every online store is designed with unique individual
ordering feature to purchase so that no long line endures
when buying from online. Thus, online shopping is
cutting down the bad habits of standing in a long line
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and waiting.
Overcome Geographical Limitation Anyone can buy his desired products or services from
anywhere in the world without being physically present
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over there through online shopping. Thus online

shopping helps to overcome the geographical limitation
of buying.
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Save Fuel There is no need to move somewhere for online

shopping, so there is no need for a vehicle. Thus online
shopping save fuel and cost associated with fuel.
Source: eBay (2013), Jain (2016)

2.2 Disadvantages of Online Shopping:

Despite the success of buying through online shopping store, there are still some difficulties
that most people always complain. Those are giving in the following table:

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 Table 3: Disadvantages of online shopping

Disadvantages Description
Inability to Touch and Feel The online store is only showing the photos and description
of the products. So those who want to touch, see and test
the products before buying, can't be able to do so at online
shopping.
Fraud and Security Concerns Consumers are at high risk of fraud on the part of the

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merchants because of the lack of ability to inspect

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merchandise before purchasing. Using the stolen credit card
or fraudulent repudiation of online purchases put retailers
also in fraudulent purchases.
Privacy Privacy is a big issue for some consumers. Many

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consumers want to avoid spam and telemarketing which
could be from supplying contact information to an online

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merchant. Many websites along with Brick and Morter's
store keep track of consumer shopping habits to suggest an
item or another site to visit. Although different jurisdiction
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has different laws concerning consumer privacy and
different level of enforcement still online shopping causes
privacy concern.
Lack of Full Cost Discloser It is easy to compare the best price of an item online, but it
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is not so easy to identify the total cost (including additional
fees, shipping, tax, etc.) of an item online. Lack of full
discloser of the total cost is one of the concerns about
online shopping. This problem is especially evident in
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cross-border purchasing.
Diminished Instant Satisfaction One can use the product instantly after buying it from a
physical store, which can be satisfying. However, online
shopping requires patience to wait for the item to arrive
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(about 6/7 hours or even more), which can diminish the

satisfaction level.
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Source: eBay (2013), Hub pages (2015)

3.3 Overview of Online Shopping in Bangladesh

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Increasing diffusion of ICTs especially the internet forcing the global business community to
move towards e-business. Online shopping gives consumers the access to the world market,
enabling them to compare price across the region and various sites, find out whether price
varies by order fragmentation, get awareness about alternative products (Jagonews24.com,
2015). Consequently, the sellers ensure that they portrayed themselves in the cyber world
through websites and portals. The sellers like consumers also benefit from the increase and
more efficient access to the global market through the Internet.

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 Over the last several years UNCTAD (United Nation Center for Trade and Development) has
emphasized the importance of e-commerce, especially online shopping for developing
countries (UNCTAD, 2017). To facilitate developing countries to transition into all sectors of
e-commerce UNCTAD has special programs. UNCTAD has also developed rules and guideline
for all types of a global e-commerce transaction. The private sector in Bangladesh should be
well prepared to meet the requirement and expectation of the customer and also stand out in the
competition against rivals from home and abroad because of increasing globalization (Khan,

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2014).

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In such a scenario businesses need to automate their internal processes with those of ICTs to
become increasingly competitive and efficient in a global context. Also, businesses have to
have adequate presence and participation in the cyber world. Particularly, these two issues are

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becoming essential for Bangladeshi corporate sector (Dhaka Tribune, 2015).

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2.3.2 Emergences of Online Shopping in Bangladesh:

Although e-Commerce operation first started in late 90’s to deliver gifts to Bangladeshi friends
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and family members by NRBs (Mohiuddin, 2014), the first real local e-commerce or m-
commerce operation was launched by CellBazaar.com in 2006 through WAP service accessed
only by mobile phones (Zainudeen, Samarajiva, & Sivapragasam, 2011).
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The growth rate of e-commerce was prolonged in Bangladesh from 2000 to 2008. During that
period there were some e-commerce websites, but there was no system for an online transaction
(Mahmood, 2015). Hardly few people knew about those sites for the high cost of internet,
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telephone connections, few credit card holders (Hasan, 2014) and lower penetration rate. The
opening up of online payment systems, mobile payment systems, inter-banking payment
gateways in 90’s by Bangladesh Bank propelled the growth of e-commerce in Bangladesh.
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The continuous investment of succeeding governments in the country's ICT infrastructure to

fulfill the vision of digital Bangladesh pulled down the internet cost and spread the availability
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in each 492 Upazilas of Bangladesh. The initiative of Bangladesh Government to provide a

stable Internet backbone to connect all government offices through the internet, to encourage a
well-grounded telecommunication sector, and opening IT parks are all leading indicators that
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point to the online shopping industry growth potential. Table 4 and 5 show the internet usage
and penetration rate of Bangladesh.

Table 4: Internet usages and population statistics

YEAR Users Population % Pen. GDP p.c.* Usage

Source
2000 100,000 134,824,000 0.1 % N/A ITU
2007 450,000 137,493,990 0.3 % US$ 466 ITU
2009 556,000 156,050,883 0.4 % US$ 574 ITU

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 2010 617,300 158,065,841 0.4 % US$ 624 ITU
2011 5,501,609 158,570,535 3.5 % US$ 700 ITU
2012 8,054,190 161,083,804 5.0 % US$ 700 ITU
2015 53,941,000 168,957,745 31.9 % US$ 1,080 IWS
Note: GDP in US dollars. Source: International Monetary Fund (Internetworldstats.com, 2015)

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According to BTRC, the total number of Active Internet subscriber has reached 62.004 million

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at the end of April 2016.

Table 5: The Internet Subscribers

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Operator Subscriber
Mobile Internet 58.661

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WiMAX 0.124
ISP + PSTN 3.219
Total 62.004
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Note: Subscriber in a million. Source: (BTRC, 2018)

There is an increasing maturity in the way Bangladeshi people use the Internet. It is a standard
curve. The online user typically starts by using email, social networking gradually moves on to
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browsing for news, information, entertainment, and finally, graduate to do shopping and
conducting business online (Khan, 2014). In the UNCTAD 2017 B2C e-commerce index
report, Bangladesh achieved the rank of 103 among 144 countries studied; however,
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Bangladesh is also in the biggest annual index ranking changing status (more than 10 percent).

Today there are more than 7000 e-commerce firms are operating through the website and social
media and among these most dominating are chaldal.com, ekhanei.com, bikroy.com,
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rokomari.com pickaboo.com and daraz.com (Islam, 2017). Interestingly, those trends are not
limited only to Dhaka, the capital city, but semi-urban and to an extent, rural areas as well
(Dhaka Tribune, 2015). There are about 2.55 million online shoppers, who are about 2 percent
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of the total population of Bangladesh (UNCTAD, 2017). Internet users in Bangladesh spend
over Tk 7184.018 crore in online shopping each year. A Google research paper titled “Research
Insight: Emerging Trend as Bangladesh goes Digital” found that 22% of the countries total
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internet users shop online and spend Tk 7594.10 annually on an average (Dhaka Tribune,
2015).

According to the study of Kaymu.com in 2015 (Jagonews24.com, 2015), Dhaka (35%),

Chittagong (29%), and Gazipur (15%) are the primary zone for online shopping traffic of
Bangladesh. Of the total traffic, new online shopping visitor stands at 49%, while returning
visitor is 51%. 71% of online shoppers have used either a desktop or a laptop, followed by
mobile phone and tablets. Google and Facebook are primary click-through points for online

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 shoppers. About 69% of the online shoppers use the Windows operating system for online
shopping.

Observing the popularity, foreign investors are coming to the Bangladeshi market, for example,
recently Chinese giant Alibaba group bought daraz.com and bKash- a mobile payment system
to operate in Bangladesh (Ovi, 2018). However, analyzing customer behaviors is crucial
especially in the case of online shoppers who do not get the touch and feel of the actual product
during purchase. The findings of this research may shed light on this issue.

t
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4.0 Findings and Discussion

4.1 Demographics of the Respondents:

c
The respondents were categorized into several factors, such as gender, age, occupation, income.

us
4.1.1 Gender:
Among the respondents, we found 62.5% were male, and 37.5% were female.
Table 6: Gender of the Respondents
an
Gender Percentage
Male 62.5%
M
Female 37.5%
ed

4.1.2 Age:
From figure-1, we can interpret that majority of the respondents were below 36 years old. 19%
male respondents were below 20 years old, 25% between 20-25 years, 30% between 26-30
years, 17% of 31-35 years and 9% of male respondents were 36 or more years old. Whereas
pt

18.33% female respondents were below 20 years of age, 35% between 20-25 years, 28.33%
between 26-30 years, 13.34% of 31-35 years and only 5% female were 36 or above years old.
ce
Ac

Page | 13
 Below 2
20 20-25 26-30 5
31-35 3
36 and Above
40
0%
35%
35
5%
3
30%
30
0% 28.33%
%
25%
25
5%
19
9% 18.33%
20
0% 17%

t
13.34%

rip
15
5%
9%
10
0%
5%
5
5%

c
0
0%
M
Male Female

us
Figure 1:: Age of thee responden
an nts

4.1.3 O
Occupation:

In case of occupaation, 46.888% of them were studeents, 28.13%% of them werew servicce holders,
13.12%
% was homeemakers, annd the rest off them weree doing busiiness (see figgure 2).
M

Business
12%
ed

Housew
wife
13%
%
pt

Studeent
47%
%
ce

Serrvice
288%
Ac

Fiigure 2: Occcupation off the respon

ndents

4.1.4 IIncome:

We caan see that nearly 54% % interviewwees’ averaage monthlyy income fafall into Tkk. 0-10000
categoories, 15.62%
% respondents’ monthlly income wwas into Tk.. 10001-200000, 14.38%% earn Tk.
20001-30000, andd 16.88% off the intervieewees have more than Tk.
T 30000 inncome per m month.

Page | 14
 60.00%
%
53
3.12%
50.00%
%

40.00%
%

30.00%
%

20.00%
% 15.6
62% 14.38
8% 16.88%
%

t
10.00%
%

rip
0.00%
%
0-1
10000 Tk 10001-2
20000 Tk 20001-30
0000 Above 30000
0 Tk
.

c
Figure 3: IIncome of th
he respondeents

us
4.1.5 E
Experiencess of Online Shopping V
Versus Onliine Shoppin
ng Frequencies:

Aboutt 41.88% of the respoondents havve less thann 0-1 year experience of online shopping,
36.25%% of them hhave 1-2 yeears experieences, 14.377% of them have 2-3 yyears experiiences and
an
7.5% oof the respoondents havee experiencees in online shopping foor more thann three yearrs. Among
those rrespondentss, 57.5% of tthem occasiionally shopp online, 28.75% do shoop once eveery month,
10% oof the responndents shop online fortnnightly, andd only 3.75%
% of them buuy online weekly.
w
M

Weeklyy Fortnightly M
Monthly Occasio
onally
ed

80.0
00%
%
70.16%
70.0
00%
55.17%
pt

60.0
00%

50.0
00%
39.13%
ce

40.0
00% 33.3
33%
30.4
43%
30.0
00% 37.9
93% 25%
20.89% 21.74%
16..67%
20.0
00%
25%
Ac

7
7.46% 5.17
7% 8.70%
10.0
00% 1.49%
% 1.72%
0.0
00%
0
0-1 year 1-2 yyears 2-3 years Mo
ore than 3 years

Figure 4:: Experiencce in onlinee shopping vversus onlin

ne shoppingg frequenciees

From figure 4, itt is observeed that 70.16% of thee 0-1 year experienced online shhopper do
shoppiing occasionally, and 20.89% do shopping m monthly. 555.17% of 1-2 years exxperienced

Page | 15
 buyer do shoppinng occasionnally, and 337.93% are a monthly online shoopper. 39.133% of 2-3
years experienced
e d online shoopper are occcasional cuustomers, annd 30.43% oof the responndents are
monthhly & fortnigghtly onlinee shopper. A Among morre than threee years expeerienced resspondents,
16.67% % do weeklly online shopping, 33.33% do occcasionally, and a 25% off them are m monthly &
fortnigghtly online shopper. Itt is evident that the freqquency of shopping is increasing w
when they
becomme more expperienced inn online shoppping. This confirms thhe study of Heijden et al.a (2003),
Chen & Barnes (22007), Zurooni & Goh (2012), Jarvenpaa et al. (2013) andd Hoque et aal. (2015),

t
where they found perceived eease of use which comees from expperience helpps to adopt the online

rip
shoppiing.

4.1.6 S
Sources of O
Online Shoppping Inforrmation:

c
For selling and prromoting prroducts throuugh online, it is essentiial to inform
m the consum
mer about
online shopping, the advantaages, disadvvantages annd website address whhich are relaated to it.

us
Aboutt 56.25% off the responndents know w about onliine shoppingg from webbsites especially from
differeent social m
media like Faacebook, Tw
witter, Linkeedin, Instaggram, etc. AAbout 24.37%% of them
get infformation fr
from friendss and familyy members. 13.13% of them from m TV adverrtisements
an
and 6.25% of theem from othher sources like a billbboard, signbboard, newsppaper, magaazine, etc.
(see figgure 5).
M
6.25%
2
24.37%
ed

Familyy/friends
TV Ad
dvertisement
56.25% 3%
13.13
Website Advertisem
ment
pt

Otherrs
ce
Ac

Figuree 5: Sourcess of online sshopping inf

nformation

Additiionally, webbsite adverttisement, frriends & faamily membbers are thee primary ssources of
online shopping innformation for the onliine consumeer. This resuult confirmss the findinggs of Hajli
(2014)) and Alsubbagh (2015). Publicity tthrough varrious websittes (primariily Faceboook) will be
more bbeneficial foor organizattions to prom
mote their online
o shoppping sites annd products.

4.1.7 R
Reasons forr Choosing Online Shoopping:

Page | 16
 Both mmale and feemale respondents assuured that theere are speccific reasonss for choosiing online
shoppiing. 38.75%
% respondennts (26.25% % male, 12.55% female)) mentionedd saving tim me is their
primarry reason fo
for choosingg online shhopping andd about 29.38% of thee intervieweees prefer
online shopping because off availabilitty of the vvarieties off products. Nearly 199% of the
responndents prefeer online shhopping beecause prodduct comparrison is muuch easier for f online
shoppiing and 13.113% choosee for a comffortable reasson.

Time-ssaving and available vaarieties of pproducts aree the main ggrounds for shopping online.
o All

t
rip
these ffour factorss motivate aan online shhopper to bbuy over thee internet. TTherefore, ccompanies
shouldd design straategies and develop vaarieties of prroducts to attract
a and rretain onlinee shopper.
This fiindings alsoo confirm thhe findings oof Gong et aal. (2013) annd Hoque ett al. (2015), where the
responndents foundd to adopt e--commerce for the useffulness.

c
us
Saves Time Comfortable Product Com
mparison Availabe Varriety
an
18.13%
M

10.62%
7.5% 11.25%
ed

8.12%
26.25% 5.63%
12.5%
pt

Male FFemale
ce

Figurre 6: Reason
ns for choossing online shopping

4.1.8 P
Preference ffor Productt/Service:
Ac

While respondentts were askked to know w about the offered gooods and serrvices, 33.755% of the
responndents prefeerred Apparrels (21.88%% male andd 11.87% feemale) and Accessoriees 32.49%
(19.377% male annd 13.12% female). 200% (16% m male and 7% % female) respondent preferred
online ticketing. A
About 11.888% of the innterviewees preferred hhealthcare & fitness prooducts and
only 1.88% responndents prefe
fer books (Seee figure 7).

Apparrels, Accesssories, and O

Online Tickketing are tthe main thhree categorries that aree bringing
about online shoppping culturre among oonline shopppers. Onlinee shopping tends to grrow in the

Page | 17
 cominng years as consumerss want to bbuy more iin the futurre. Merchannts should bring out
innovaative ways so
s that theree is a growthh in other caategories of goods and sservices.

Apparels Online Ticketing

T Accessories hcare & Fitness
Health Bookss

25.00%
%
21.8
88%

t
20.00%
% 9.37%
19

rip
15.00%
%
13.12
2%

c
11.87%
%
13.75%

us
10.00%
%

6.25%
5.63%
5.00%
%
an
6.25%
1.25%
0.6
63%
0.00%
%
M
M
Male Femaale

Fi
Figure 7: Preeference forr Product/S
Service for O
Online Shoppping
ed

4.1.9 F
Factors for Liking Onlline Shoppin
ng:

Figuree 8 shows, aamong the m male responndents, 42% % like onlinee shopping because off the home
pt

deliverry facility, w
while about 29% male respondentss said that itt is easier too order for w
which they
wouldd like to shoop online. 122% male respondents like discounnt offer mosst for onlinee shopping
and 177% of the male
m responddents like avvailable optiions for buyying and payyments gateeways. On
ce

the othher hand, 388.34% of thhe female respondents aalso do onlinne shoppingg for a hom me delivery
facilityy, 25% do ffor the easinness of ordeering, rest oof the 23.333% (13.33%
% female resspondents)
like foor discount ooffer and avvailable optioons respectiively.
Ac

Both m male and female

f resppondents haave the samme attitude towards likking factor of online
shoppiing. Both liike home deelivery facillity factor m
most. Howevver, female likes discoount offers
more than the male does. These fiindings connfirm the study of Rastogi (22010) and
Katawwetawaraks & Wang (20011), wheree the online shoppers allso preferredd the onlinee shopping
for easse of use andd products’ variety.

Page | 18
 45% 42%
40% 38.34%

35%
29%
30%

t
25%

rip
Easiness of Order
25% 23.33%
Available Option
20% 17% Discount Offer

c
15% 13.33% Home Delivery Facility
12%

us
10%

5% an
0%
Male Female

Figure 8: Factors for liking online shopping

M

4.1.10 Factors for Disliking Online Shopping:

We also asked respondents if there is any disliking factor that impedes them from deciding
ed

doing online shopping. Figure 9 shows that 48% hate the inability to touch and feel or trial
factor about online shopping, while about 24% male said that it is the high price of products or
services for which they dislike online shopping most. 16% male respondents dislike after sale
pt

services on online shopping and 12% male respondents dislike poor return policy.

Among the female respondents, 45% dislike online shopping for lack of inability to touch and
ce

feel factor. 23.33% dislike the high price of the products and services. 16.67% and 15% female
respondents hate poor return policy and lack of after sale service factor most respectively.
Ac

Page | 19
 60%

50% 48%
45%

40%
High Price

30% Poor Return Policy

24% 23.33%
Lack of After Sale Service

t
20% 16% 16.67%
15% Inability to Touch and Feel

rip
12%
10%

0%

c
Male Female

us
Figure 9: Factor for disliking online shopping

Inability to touch and feel the product or trust is still the primary disliking factor about online
an
shopping, or we can say the primary barrier to online shopping which confirms the study of
Chen & Barnes (2007), Heijden et al. (2003) and Huseynov & Yıldırım (2014). The high price
of goods and services is another big issue for the consumers. Marketers need to develop better
return policies, improve the products quality and after sale services and charge a reasonable
M

price to encourage online shopping.

4.1.11 Modes of Payment Preference:

ed

Figure 10 shows the different payment options for customers which is a very crucial segment
for buying decision. 76.25% of the respondents are doing transaction by cash on delivery
facility whereas 15.62% of the interviewees is paying through a debit card. 3.13% respondent
pt

pay by credit card and 5% through mobile banking. Most of the consumers prefer cash on
delivery as a mode of payment for online shopping. This finding confirms the study of Rastogi
ce

(2010) but contrasts the findings of Liao et al. (2012), where the online shoppers mostly prefer
to pay through credit or debit cards. The contrast may be due to the less developed financial
sector of Bangladesh, where credit cards are less available than that in developed countries.
Ac

Page | 20
 15.62%
5%
Cash on Delivery
3.13%
Credit card

t
Mobile Banking

rip
Debit Card
76.25%

c
us
Figure 10: Modes of payment in online shopping
an
4.1.12 Payment System Security:

None of the respondents highly agreed to the fact that the payment system for online shopping
is highly secured in Bangladesh. 15% of the interviewees agreed to the fact that online payment
M
system is much secured where 27.5% of respondents disagreed. 51.87% of respondents remain
neutral about the fact, and 5.63% profoundly disagreed.
ed

5.63% 15%
pt

Highly Agreed
27.5% Agreed
Neutral
ce

Disagreed
Highly Disagreed
51.87%
Ac

Figure 11: Payment system security

Above all, secured payment is a significant concern in Bangladesh. Most of the consumers
believe that the payment system for online shopping is not secured. Usually, they do not prefer
to use their credit or debit card while shopping from online sites. Companies should introduce

Page | 21
 new im
mproved tecchnologies to create annd gain connfidence in the paymennt system among
a the
consum
mers.

4.1.13 Online Shoopping Satiisfaction:

50% oof regular online shopppers are satiisfied whereeas 17.5% aare dissatisffied. 28.12% % of them
are neiither satisfieed nor dissaatisfied. Onlly 3.75% off regular onlline shopperrs are highlyy satisfied
while 0.63% is higghly dissatisfied.

t
rip
3% 3.75%
0.63
17.5% Highly Satisffied

c
Satisfied

us
50% Neutral
28
8.12%
Dissatisfied
Highly Dissatisfied
an
F
Figure 12: O
Online shoppping satisfaaction
M

Satisfaaction level plays a siggnificant rolee in online shopping. Satisfied

S connsumers tennd to shop
more ffrequently oonline. Afterr analyzing data, we fouund that hallf of the resppondents arre satisfied
with thheir overalll online shoopping experience. A noten should be taken thhat only 3.75% of the
ed

online shopper is highly satiisfied whichh shows thaat there are still concerrns, which hinder
h the
consum mer from uusing onlinee shopping frequently. Companiess should unndertake meeasures so
that diissatisfied aand neutral ccategory off online shoppers can m move towards satisfied or highly
pt

satisfieed categoryy and shop online

o i has to be done through better innformation
moree often and it
qualityy, quality seervice in durring purchasse and post--purchase (V
Vegiayan et al., 2013).
ce

5.0 Coonclusion:

Onlinee shopping is more annd more ddriven by thhe ICT infr frastructure development, online
Ac

paymeent systems and the intternet penettration rate in Bangladdesh. Earlierr studies shhowed that
unlike brick and mortar shoopping behaavior, onlinne shoppingg behavior is influenceed by net
connecctivity, webbsite estheticcs (Constanttinides, 20004), securityy, customerss’ experience, age and
learninng curve, etc. Studying these uniique characcteristics off online shoopping and consumer
behaviior of onlinne shopperss would bennefit the tecch-entreprenneurs and ppolicymakerrs to craft
their sstrategies prroperly for tthe market. This studyy empiricallyy reveals thhe consumerr behavior
of onliine shopperss in Bangladdesh.

Page | 22
 Bangladeshi online shoppers are young (mostly below 40 years) similar to other parts of the
world. They do online shopping because it saves time, offers home delivery, provides ease in
shopping and offers more variety of products for apparels, accessories, and ticketing than that
of brick and mortar stores. They mostly rely on price and their experience as the basis of the
quality judgment of items in online shopping and for payment system they prefer cash on
delivery option. Most of the shoppers get the information primarily from Facebook
advertisements which is pursued by friends and family by following their ‘word of mouth’

t
communication. However, privacy and inability to touch and feel are the most disliking factors

rip
for online shoppers. These findings of our study have both theoretical and practical
implications.

Theoretical Implications: This study provides a foundation for the future researchers in

c
studying the consumer behavior of Bangladeshi online shoppers. Further research can be

us
possible by increasing sample size including a rural population that may reflect the entire
scenario of consumer behavior of online shopping in Bangladesh. Furthermore, the variables
that have been identified in this study may not be sufficient rather more variables are to be
an
considered in future research. Researchers may also look for factors that influence the online
shopping behavior, customer satisfaction, and loyalty.

Managerial Implications: The findings of the paper provide managers guideline about the
M
attributes that must be included in their products and service quality, mode of delivery channel,
payment gateway, security, trustworthiness, and pricing strategy. Managers should choose the
social network for advertisement. As, until now the online payment systems through credit card
ed

are not that much available, managers must maintain the cash on a delivery program to gain
trust among the customers. To elevate the touch and feel concern, managers can send
alternative products to the customer to choose from options and pay after they prefer one. If the
managers consider these factors, they might have a competitive advantage in the market.
pt

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 Public Interest Statement
Online shopping is a buzzword in the modern tech-based business world. In Bangladesh
particularly in Dhaka, the capital city of Bangladesh, online shopping is getting popular with
the sequence of time. Buyers now consider several factors while they are planning to buy from
the online platform. This study revealed the online shoppers’ behavior, i.e., what is the
demography, what products or services they like, why they like or dislike online shopping, and

t
which payment method they prefer, etc. We found that consumers are mostly young, who shop

rip
online to save time, and for available varieties of products and services and prefers to pay
through cash on delivery method. They mostly get the online shopping information from the
websites advertisements, especially from social networks. The more experienced they are with

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online shopping, the more they tend to buy online. However, male and female both have the
same type of behavior towards liking and disliking factors.

ABOUT THE AUTHORS

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Mohammad Anisur Rahman is an Associate Professor, Department of MIS, University of
Dhaka. He has received his Ph.D. from Donghua University, China, and MBA from University
of Akron, USA. His research interest includes, e-business, supply chain management.
M

Md. Aminul Islam is a Lecturer, Department of MIS, Independent University, Bangladesh. He

did his BBA and MBA major in MIS, University of Dhaka. His research interest includes
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Digital Marketing, Mobile Banking, Technology Transformation.

Bushra Humyra Esha is a Lecturer in MIS, East West University. She is a graduate of
University of Dhaka. She achieved Dean’s award in 2013. Her research interest includes e-
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commerce, Mobile Banking, ICT policies.

Nahida Sultana is a Lecturer in Business Administration Department, Bangladesh University.

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She has completed BBA and MBA from Department of MIS, University of Dhaka. She is
interested in Information System, HRIS, Information Security.
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Sujan Chakravorty is an independent researcher. He has completed MBA from Department of

MIS, University of Dhaka. His research interest includes e-commerce and e-healthcare system.

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