PROPOSAL Identify the critical factors that influence the online shopping pattern for consumers of Apparel products in Bangladesh. Prepared for: Md. Iftekharul Amin Lecturer Course Instructor (M609 – Market Research) Prepared by: Monamee Afroze Ishika (Roll: 119, MBA 46 D) Priyom Mozumdar (Roll: 124, MBA 46 D) Mohammad Zulqar Nayen (Roll: 126, MBA 46 D) Mir Zahidur Reza (Roll: 160, MBA 46 D) Institute of Business Administration University of Dhaka April 21, 2013 TABLE OF CONTENTS Introduction1 Statement of Problem: 2 Objectives of the Research:2 Scope: 3 Methodology: 3 Quality Control Plan:5
Literature Review7 What is Online Shopping? 7 What influence the Consumers? :8 Online shopping pattern for Apparel Products: 10 Online Shopping in Bangladesh: 11 Data Analysis Plan13 Hypothesis on consumers’ demographic and psychographic characteristics13 Hypothesis on the consumers’ relationship with e-commerce sites14 Time Plan for Research Work15 Budget 16 Researcher Profile18 Reference and Bibliography22 INTRODUCTION Online purchasing is not entirely a new concept in the market.
It has been persistent in the background ever since the Internet was commercially available to the public.
Many companies have utilized the Internet as a channel for fashion retail marketing (Murphy, 1998).
The significance for retailers to having a web site is that a web site is informational and transactional in nature (Murphy, 1998). The top categories of Online Sales according to ComScore Networks, (Freedman, 2002) are: •Computer Hardware and Software •Apparel and Accessories •Office Supplies •Books, Music and Movies •Consumer Electronics •Home and Garden •Health and Beauty •Gifting •Sporting Goods •Toys and Games •Autos •Pets
In a general view most consumers are still in heavy favor to shopping in stores. There are a number of reasons why consumers are discouraged to shop for clothing online. But the percentage of people purchasing clothing online is rising and it shows no signs of stopping. The factors that are influencing the online shopping pattern for Bangladeshi consumers can also be the determinant factors for the apparel shopping through online. A structured researched can be conducted to identify the critical factors that influence the online shopping pattern for consumers of apparel in Bangladesh. Statement of Problem:
The internet has revolutionized the lives of millions of its users since its inception. Our research explores one aspect of this revolution that is the growing use by businesses and individuals as a retail channel for apparel shopping in Bangladesh. Apparel Shopping is special in a sense that many predicted it would be difficult to sell online. There are several critical factors that influence the buyers to go for online shopping for apparel product through different websites. Thus this descriptive research intends to identify these influential factors on Bangladeshi consumers for online apparel shopping.
So the problem statement for this research is ‘Identify the critical factors that influence the online shopping pattern for consumers of apparel products in Bangladesh. ’ Objectives of the Research: This research work on online shopping pattern for apparel products for Bangladeshi consumers will be conducted based on two categories of objectives. They are, •Broad Objective: This research will be conducted to identify and analyze several important factors which influence the online shoppers in Bangladesh who do apparel shopping online. • Specific Objective: The specific objectives of this study includes, To identify if demographic factors of consumer has any influence on online apparel shopping o To identify if psychographic factors of consumer has any influence on online apparel shopping o To know about aspects most and least enjoyed by the consumers while using the online shopping facility o To identify the relationship between web site design and facilities and online apparel shopping pattern o To gain information on reasons and motivations for not shopping online for apparel products o To know what are the personal concerns regarding online apparel shopping for consumers To examine the relationship between customer’s trusts and online shopping activity. o To examine the relationship between website quality and online shopping activity. o To examine the relationship between consumers’ level of internet knowledge and online shopping activity. o To examine the relationship between internet advertising and online shopping activity. o To determine which of the above factors contribute most to online shopping. Scope: The scope of the research will be limited to the demographic, psychographic factors of consumers that are influencing online shopping pattern in Bangladesh.
The scope of the study will also include the web site characteristics that can influence the pattern. The population of the research will be limited to urban residents who have internet access and do frequent online activities throughout the day. The sampling method, data collection technique and sample size will be selected considering time and budget constraints. Methodology: Research Design: This will be a cross-sectional descriptive research which will work with several qualitative and quantitative methods to come up with findings. While conducting this research, the team will follow systematic steps for effective execution of the work.
Different variables will be described and relationship among them will be measured throughout the research. Sources of Data: The data will be collected from different qualitative and quantitative sources which in a broad sense can be divided into two categories, •Primary Source: These will be the first hand information sources from which both qualitative and quantitative data will be collected. For getting understanding and insights the qualitative data will be collected and for this the research team will conduct a focused group discussion.
Survey will be conducted among specified sample to get the quantitative data for the study. o Focused Group Discussion (FGD): The focused group will consist eight (8) undergraduate university students, who are frequent online browsers, very fashion sensitive and aged between 18-23. Questions will be generated by the researchers and posed in a consistent manner to the focus group. The topics in the focus group discussion will include prior experience with shopping online, satisfaction with shopping online, fashion orientation, and general behaviors with respect to shopping for apparel. The discussion will last for 1. hours and remuneration and refreshment will be provided to the focused group member. This group is selected as the focus group as people of this age group are the most internet savvy and conscious with fashion and style. Based on focus group responses, specific benefits and risks related to online apparel shopping will be identified and included in the survey instrument. o Survey Design: From the target population, sample will be drawn to conduct the survey with the structured questionnaire set. The survey will be conducted by the four researchers through the personal interview method.
The respondents will be interviewed with the combination of two personal interview methods, one is face to face interview done by the researchers and also computer-assisted personal interviewing (CAPI). The CAPI method will be administered through the Google Doc application. ?Target Population: The target population for this survey will be the people residing in urban areas with internet access and frequent online activities. Estimating the size of the population is difficult as the team has yet to find valid information on active and potential online shoppers in urban areas. Sampling Frame: The sampling frame is divided according to the occupational characteristics of the population. The frames are, ?Undergraduate students in different institutions in cities in Bangladesh ?Post graduate students in different institutions in cities in Bangladesh ?Employees working in different local and multinational companies in Bangladesh ?Housewives residing in urban areas in Bangladesh with internet access at home ?Sampling Unit: Individual person who has internet access and frequent online activities and who fits with the sample frame.
Respondents will not be limited with age and gender constraint. ?Sample Size: As the research is of descriptive type, the more the number of sample element will ensure more precision of data. In this type research for factors identification the minimum size required is 500 respondents as a sample. From the related literature review, it was found out the researchers for other related researches considered sample size ranged from 400 to 1000. We have a time constraint for this study, thus we will fulfill the minimum requirement and survey 500 sample elements from the population. Sampling Method: Non probability sampling technique will be chosen as sampling method. We will be taking samples from online panels. These panels are composed by individuals who have expressed interest in participating in surveys, leaving out individuals who may be part of the target population, but are not available for interviewing through the panel. Since we will be posting a link to our survey on social network sites, it may not be representative of the target population. Here what we are doing is convenience sampling, not random sampling.
So the statistical accuracy cannot be measured. However, we will try to incorporate judgmental sampling. It is a form of convenience sampling but the researcher team will use their judgment to increase the representativeness of the sample. The elements will be selected on the judgment criteria, such as education, occupation, internet usage, fashion sense etc. •Secondary Source: We will collect data from the following secondary sources: 1. Literary publications (e. g. : Conference papers, journals) 2. Research Reports on related topics 3. Online shopping websites Quality Control Plan:
It is very important for the findings of the research to be accurate to control the quality of the data gathered from different sources. The research team will make sure both focused group discussion and survey will be conducted professionally and reliably. For this quality control purpose, o The judgmental sampling method will be conducted very professionally for better representation of the population. o Focused group discussion will be moderated to ensure right type of data accumulation in the short time. o Questionnaire will be simply written which will be clear and understandable by the respondents. Close periodical supervision of the automated survey entries will be maintained. o Data entered manually in SPSS by one member will be checked by other members for accuracy purpose. LITERATURE REVIEW What is Online Shopping? Online shopping is a form of electronic commerce that gives consumers opportunity to directly buy goods or services from over the Internet using a web browser.
The first World Wide Web server and browser, created by Tim Berners-Lee in 1990, opened for commercial use in 1991. These days, the largest of these online retailing corporations are eBay and Amazon. om, both based in the United States. Immediately after, Amazon. com launched its online shopping site in 1995 and eBay was introduced in 1996. In recent years as e-commerce sales have increased compared to traditional stores, many businesses and individuals have turned to online shops. Electronic commerce is now a means for business growth and expansion in relation to both small and large firms irrespective of their geographical locations. The popularity of online shopping largely depends on the accessibility of internet over different countries.
At the closing of 2008 almost 1,596 million people or 23. 8 % of overall populations of the global had access to the Internet. Asian countries news report for 474. 9 % increase, it has overall internet user stands at 657 million or 41. 2% of world’s full internet user. Only in China more than 420 million people are using the internet (Internet Usage and Population Statistics 2010). The internet population style of Bangladesh is also contributing to the development of Asian countries which assured 450% development in the period of 2000-2007.
Bangladesh has launched high-velocity internet connectivity through submarine superhighway in 2005. Establishing the internet procedure in 1993 it is still in its primary level. The growth of online shopping is increasing at a high rate over time. Online shopping for B2C product sales totaled $142. 5 billion, representing about 8% of retail product sales in the United States in 2012. The $26 billion worth of clothes sold online represented about 13% of the domestic market, and with 72% of women looking online for apparel, it has become one of the most popular cross-shopping categories.
Forrester Research estimates that the United States online retail industry will be worth $279 billion in 2015. There were 242 million people shopping on-line in China in 2012. On the other hand, for developing countries and low-income households in developed countries, adoption of online shopping along with conventional methods is limited by lack of affordable internet access. What influence the Consumers? : Freedman (2000) points out that there are different types of shoppers.
The four types of Online Shoppers she has pointed out are as follows: •Online Aggressors: The characteristics of this type of shopper is that they are online daily; a technology embracer and buy most items online where and when possible. •Online Adopters: This type of shopper pre-plans purchases; tend to or likely be a catalogue shopper; Shop online where it fits neatly into their life. Purchases mostly commodity products online; Utilizes Web as price and product comparison engine, Embraces gift giving where tools are available from trusted merchants. Online Opportunists: This shopper shops from both catalogue and stores, based on convenience. Evaluates shopping options and varies behavior by category. Typically buys in-store with limited catalogue purchasing. Normally researches product information online. •Online Alienate/Agitated: This type of shopper tends to prefer to shop in-store. May shop from catalogues on an infrequent basis. Normally a technophobe by nature. Security central to their resistance to shop online. May test online shopping to keep up with the world. Cheung, et al. 2000) pointed out framework of online consumer purchase and showed that on line purchase intention, purchase adaptation and purchase continuance depend on consumer characteristics (life style, motivation, knowledge, innovativeness, involvement, demographics), product/ service characteristics (product knowledge, product type, layout, frequency of purchase, tangibility, differentiation, price),medium characteristics (web design, navigation, ease of use, interface usefulness, reliability, security),merchant and intermediary characteristics (service quality, privacy and security control, brand reputation, delivery /logistics, after sale service, incentive) and environmental influences (culture , subjective norm, exposure , attention, image). The main reasons why consumers prefer to buy online are cited below:
Reasons Shoppers Cite for Buying Online Save time by not going to store70% Can shop when stores are closed69% Avoid the holiday crowds68% Might be able to find better prices59% Can find products online more easily52% Find products not available in stores50% Easier to compare prices47% Have gifts sent directly to recipient36% Can avoid wrapping gifts13% Can earn loyalty points13% Purchase from wish list10% Table 1 Reasons Shoppers Cite for Buying Online Source: Jupiter Research/IPSOS (Greenspan, 2003) A successful web store cannot just be a good looking website with dynamic technical features it should also be concerned about building a relationship with customers and making money.
Customers are attracted to online shopping not only because of high levels of convenience, but also because of broader selections, competitive pricing, and greater access to information. Customers’ attitude towards online shopping also depends on his or her perception about the benefits, consequences, privacy, security and willingness of interactions (Limeyem, et al. 2000; Shih, 2004; Wu, 2003). The life style and personality also affect the attitude of customer’s attitude towards online shopping (Wu, 2003). Business organizations need to focus on this issue of customers. The activities and services of the organization and security and privacy condition of online transaction will motivate customers for online shopping.
Out of personal privacy considerations, a great portion of the consumers has reluctant attitude towards online shopping (Wang et. al. 2008). Customer needs and expectations are different according to individual customers as age, gender; experience and culture are all important factors. For example, Japanese cultural norms may lead users there to feel privacy is especially critical on shopping sites and emotional involvement is highly important on financial pension’s sites. Generally, higher levels of education, and personal income, correspond to more favorable perceptions of shopping online. Although external factors affected the personal conduct to some extent, the purchase would ultimately depend on the individual. These needs and esires must be satisfied by consume. Once consumers faced the appropriate context, consumer decision-making process would be initiated. (Wang, et. al. 2008). To increase online purchases, businesses must expend significant time and money to define, design, develop, test, implement, and maintain the web store. Role of social culture and media is important for developing positive intention for online shopping (Limayem et al. , 2000). Advertisement, focus group discussion and role playing by socially respected and accepted person can be influential for developing social support for online shopping that ultimately motivate people. (Howladar, et. al. 2012).
Financial risk is significant for developing online shopping plan (Koyuncu & Bhattacharya, 2004; Swinyard & Smith; Shankar, et al. 2003). Security and privacy are also influencial variables that influencing the customers preference for online shopping (Miyazaki & Fernandez,2001;Vdo,2001,Shankar, et al. 2003;Zhou, et al. 2007). Product and services are also very important for motivating customers’ intention to purchase through online (Chiang & Dholakia, 2003). Online shopping pattern for Apparel Products: The Internet has emerged as a compelling channel for sale of apparel products (Beck, 2000). Online sales of apparel and accessories are now growing faster than any other ecommerce product segment.
The category is reponsible to help US retail ecommerce sales grow 15. 4% to $224. 2 billion in 2012, after stronger-than-expected sales took the market to $194. 3 billion last year. Measurement from Nielsen//NetRatings indicated that shopping sites were amongst the most popular destinations for women Internet users, particularly for clothing web sites. In Europe, more than a third, 35 per cent, of shoppers bought their clothes online in the last 12 months, up from 26 per cent the previous year, according to the report by Mintel, the market research company. In Western Europe sales are expected to reach 14 billion euros ($155. 7 billion), a growth of 11% percent annually.
Apparel, computers and consumer electronics will continue to be dominant purchases; these three areas make up 40% of the current online sales which won’t change in the near future. A recent survey by Google India and TNS has found that online shopping more than doubled in India in 2012. Lifestyle products, including apparel, accessories, home decor, beauty and cosmetics account for the highest search volumes on Google. Apparel and accessories are expected to overtake the online search for electronic goods in 2013. During 2013, eight of 10 people purchased apparels and accessories while seven out of 10 purchased electronic goods. Although online apparel shopping continues to grow worldwide, there are problems why consumers hesitate to shop for clothing online.
There are a number of reasons why consumers are discouraged to shop for clothing online. Table 2 highlights some of the reasons consumers are unenthusiastic of Online Apparel Shopping. Problems with Shopping for Clothes Online Unable to try on clothes for fit81% Unable to feel clothes for quality of material45% Concerned about return difficulties44% Concerned about privacy of personal information32% Total cost of purchasing products is more expensive than stores 25% Difficult to browse14% Like to shop with friends/family11% Difficult to get customer service8% Table 2 Problems with Shopping for Clothes Online PricewaterhouseCoopers 2000 (Pastore, 2000) Online Shopping in Bangladesh:
The People’s Republic of Bangladesh is a developing country in South Asia. It’s an over populated country in the global village, people living in small physical size, social homogeneousness, forward-looking infrastructure and banking, the logistics, communications, and payment costs linked with ordinary and Internet-based shopping tend to downstairs and similar (Bhowmik, 2012). The Modern act allows people to apply local currency credit cards for online transactions within the country. Bangladesh government has announced information technology as a thirst sector of the country and launched country’s vision to build digital Bangladesh by 2021.
The political government has also realized some changes in the national ICT policy 1999 which restates establishing ecommerce by 2012 and e-governance 2014. (Bhowmik, 2012) Among the contextual factors medium characteristics and merchant & intermediary characteristics are the primary considerations to develop the online shopping culture in Bangladesh (Howladar, et al. 2012). The telecommunication technology and internet technology is not developing in Bangladesh with satisfactory pace. Though Internet in Bangladesh has grown rapidly in the last few years but still the access to the internet is very limited for several reasons. Parvin et al. (2007) also mentioned that the commercial use of internet is limited due to the band width limitation. Wood (2004) also specified that growth in internet use in several developing nations in the Asia pacific region (e. g. Bangladesh) has been stalled by lack of sufficient telecommunications infrastructure, inexperience, indifferent, and bureaucratic government. The Demographical characteristic in Bangladesh has mix of positive and negative feelings and also a critical factor for influencing online purchases. But young generation accounting for more than 35% of the total population gives Bangladesh an edge to choose online shopping (Laisuzzaman, et. al. , 2010).
The high income and educated people who are the major customers of online shopping live in major town in Bangladesh where network infrastructure is comparatively better. Physical, economic, educational and social cultural factors also influence the individual’s access to and use of ICTs in Bangladesh (Parvin et al. , 2007). These constitute environmental factors that influence online shopping behavior. Legislation is one of the important obstructions in our country to develop online shopping culture. Again, currently e-commerce vendors are not providing sufficiently reliable level of service to meet the expectations of their consumers, and this is leading to negative perception of the e -commerce shopping experience (Dey et al. , 2009).
In Bangladesh, sufficient IT experts are available, but need coordinated effort by the government, private and public organizations, and financial institutions to develop secured and effective internet infrastructure for better environment of online shopping. (Howladar, et. al. 2012). DATA ANALYSIS PLAN Exploratory Study was done for the literature review part to get initial insight of overall scenario. For further research work Descriptive study combining both qualitative and quantitative methods will be done. Information gained from Focus group discussion will be analyzed and interpret in such a manner that will help us to get insight on present scenario and thereby help us construct the survey questionnaire. From the self administered questionnaire resided in Google Docs Survey Application, data will be automatically entered into an excel spreadsheet.
With Excel, initial statistical information will be gained along with basic graphical representation. After that, the data will be entered into SPSS software for further analysis. The following hypothesis will be tested with the software. The hypotheses have been classified into two types: Hypothesis on consumers’ demographic and psychographic characteristics HypothesisTechnique Used Perceive ease of use, personal awareness of security, perceived usefulness, perceived risk and trust has no significant impact on attitude towards online shopping. Multiple Linear Regression There is no difference in attitude towards online shopping when segmented by genderIndependent t-Test
There is no difference in attitude towards online shopping when segmented by ageAnalysis of Variance(ANOVA) There is no difference in attitude towards online shopping when segmented by educationAnalysis of Variance(ANOVA) There is no relationship between attitude towards online shopping and online shopping intentioncorrelation Hypothesis on the consumers’ relationship with e-commerce sites This part of the study aims to identify factors influencing consumers towards online shopping. It seeks to examine and understand whether factors such as customer trust, website quality, internet knowledge and internet advertising influence consumer choice of online shopping.
HypothesisTechnique Used There is no significant relationship between customer trust and attitude towards online shoppingCorrelation There is no significant relationship between website quality and attitude towards online shoppingCorrelation There is no significant relationship between level of Internet knowledge and attitude towards online shoppingCorrelation There is no significant relationship between interactive internet advertising and attitude towards online shoppingCorrelation From the result of the hypothesis tests along with other statistical information gained from data analysis findings will be drawn and interpreted. TIME PLAN FOR RESEARCH WORK
TaskStart DateDuration (Day) Proposal Submission20-Apr-131 Focus Group Discussion24-Apr-131 Data Analysis (FGD)25-Apr-131 Questionnaire Planning27-Apr-132 Online Survey29-Apr-137 Offline Survey3-May-134 Data Entry into SPSS8-May-132 Data Analysis10-May-135 Report Writing15-May-135 Printing and Binding20-May-131 Report Submission21-May-131 Gantt Chart BUDGET Budget In the course of conducting the research and eventually preparing the report it, there is a need to set and determine an estimate for the budget required for such an undertaking. It has come to light that the costs associated with such a research may vary in magnitude. Focus Group Discussion:
Focus group discussion will be held for one day to gather qualitative data from representative people. The discussion will require a substantial amount of expenditure. An overall estimated cost is 2300tk, including remuneration and refreshment. Printing and Binding: The need to print the questionnaire for offline survey and distribute it to people who might not fall into the online survey panel that would use a computer on regular basis to answer our online based questionnaire will need additional expenditure. Again after the completion of report writing, the printing and banding will also cost some fund. The budget for this is estimated around 400tk. Transport Expenses:
In order to reach the desired locations necessary for the data collection for our research, transportation costs is a major part of the whole process. The amount needed for it will depend on the urgency for the journey and the distance travelled. The amount can be estimated to be around 1000tk for all the researchers over the research period. Internet and Phone Bills: Since most of the work will be done through collaboration through online tools, it will be necessary for internet connection and the bill associated with it. Even though not all the amount will for the internet use regarding the research, it still can be estimated that for the researchers, the average internet cost will be around 300tk.
The phone bills are also a crucial part of the budget and have been estimated to be around 200tk as well. Contingency Fund: This will be needed if Google Doc becomes unavailable; the research team may have to opt for alternative online survey provider and may have to import survey data. For this research work, the expenses need and the categories are can be summarized as following, ReasonFund Needed Printing (Survey QuestionnaireBDT 200 ( 100 @ BDT 2. 00) Report Printing and BindingBDT 200 Remuneration (Focus Group Members)BDT 1800 ( 6person @ BDT 300) Refreshment (Focus Group Discussion)BDT 500 Transport ExpensesBDT 1000 Internet and Phone BillsBDT 500 Contingency Fund ( If Google Doc becomes navailable, we may have to opt for alternative online survey provider. In case that happens, we may have to import survey data)BDT 1000 TotalBDT 5200 RESEARCHER PROFILE RESEARCHER 1 Monamee Afroze Ishika 66, New Circular Road, Dhaka-1217. Phone No: 88-02-9361387(Res), 88-01913501060(Mob) E-mail: [email protected] com EDUCATIONAL BACKGROUND DegreeInstitutionYearMajorBoardCGPA/GPA MBAIBA (Dhaka University)OngoingMarketing3. 73 (after 3rd semester) BBABRAC University2010Marketing & Finance3. 96 (out of 4. 00) H. S. CViqarunnisa Noon College2006ScienceDhaka5. 00 (out of 5. 00) S. S. CYWCA Girls’ High School2004ScienceDhaka5. 00 (out of 5. 00) NOTABLE WORK EXPERIENCE
Worked as a Research Associate under the project “Implementation of Monitoring and Evaluation (M&E) for IFC Bangladesh” on behalf of Associates for Development Services Limited (ADSL) – from 20th September, 2012- 15th December, 2012. ?Worked as a Survey Supervisor for data collection in connection with ‘Core Group Study’ under the project “Implementation of Monitoring and Evaluation (M&E) for IFC Bangladesh” on behalf of Associates for Development Services Limited (ADSL) – June, 2012. Priyom Mozumdar Contact: +88-01818-074889 Email:[email protected] com EDUCATIONAL BACKGROUND DegreeInstitutionYearMajorBoardCGPA/GPA MBAIBA (Dhaka University)OngoingMarketing3. 20 (after 3rd semester) B. Sc in Chemical EngineeringBangladesh University of Science and Technology20113. 06 (out of 4. 00) H. S. CChittagong College2005ScienceDhaka5. 0 (out of 5. 00) S. S. CCollegiate School, Chittagong2003ScienceDhaka4. 88 (out of 5. 00) NOTABLE WORK EXPERIENCE •Field Research AssistantJan 2013– Ongoing Nielsen Bangladesh •Senior Project OfficerMar 2011 – July 2011 Renata Limited •InternApril 2010 Chittagong Urea Fertilizer Limited (CUFL) Mohammad Zulqar Nayen +88 01720 211 832 [email protected] com 258/A, Flat: A3, New Elephant Road, Dhaka 1205 EDUCATIONAL BACKGROUND DegreeInstitutionYearMajorBoardCGPA/GPA MBAIBA (Dhaka University)OngoingMarketing3. 53 (after 3rd semester) B. Sc in Electrical EngineeringBangladesh University of Science and Technology20113. 53 (out of 4. 00) H. S. CNotre Dame College,
Dhaka2005ScienceDhaka5. 00 (out of 5. 00) S. S. CGovernment Laboratory High School, Dhaka2003ScienceDhaka5. 00 (out of 5. 00) NOTABLE WORK EXPERIENCE •OCTOKHAN2010 – 2011 Chartered Accountants Business IT Analyst Mir Zahidur Reza +88 01717922890 zhdr. [email protected] com Apt: 5A, Lake Drive Road, Sector 7, Uttara Model Town, Dhaka 1230. EDUCATIONAL BACKGROUND DegreeInstitutionYearMajorBoardCGPA/GPA MBAIBA (Dhaka University)OngoingMarketing3. 20 (after 3rd semester) B. Sc in Electrical EngineeringAmerican International University, Bangladesh20113. 3 (out of 4. 00) A LevelsInternational Turkish Hope School2007Dhaka4 A’s (5. 00/5. 00) O LevelsInternational Turkish
Hope School2005Dhaka7 A’s (5. 00/5. 00) REFERENCE AND BIBLIOGRAPHY •Sebastianelli, R. , Tamimi, N. , Rajan, M. (2007) ¬How Shopping Frequency And Product Type Affect Consumers’ Perceptions Of E-Tailing Quality, Journal of Business & Economics Research. •Swardt, M. D. , (2008). Factors influencing the choice to shop online: A psychological study in a South African context •Hirst, A. , Omar, O. (2007). Assessing Women’s Apparel Shopping Behaviour on the Internet. Journal of Retail Marketing Management Research, Vol. 1 No. 1, October 2007, pp. 32-40 ISSN 1752-6183 print / 1752-6191 online •Howladar, M. H. R. , Mohiuddin, M. G. , Islam, M. M. (2012).
Developing Online Shopping Intention among People: Bangladesh Perspective (Vol 2, No. 9). •Bhowmik R. , (2012). The Present E-Commerce Situation in Bangladesh for B2C E- Commerce. •Wang, N. , Liu D. , Cheng J. (2008). Study on the Influencing Factors of Online Shopping, 11th Joint Conference on Information Sciences. •http://www. emarketer. com/newsroom/index. php/apparel-drives-retail- ecommerce-sales-growth/ •http://profit. ndtv. com/news/corporates/article-non-metros-spur-online- shopping-growth-in-2012-317276 •http://www. allbestarticles. com/internet/e-commerce/7-critical-success-factors- in-ecommerce. html •http://technology. bangladeshinfo. com/2812/bangladeshi-online-shopping-site- launched. html
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