Statistic for business final report lecturer nguyen ba trung group member information and individual contribution part

This paper examines the impact of online commerce on consumer shopping behavior, exploring the factors that influence online purchases, the role of social media and mobile devices in sho

VIETNAM NATIONAL UNIVERSITY — HCM

INTERNATIONAL UNIVERSITY

SEMESTER 2 (2023 - 2024)

STATISTIC FOR BUSINESS FINAL REPORT

Lecturer: Nguyen Ba Trung

Group Member Information and Individual Contribution Part

Full Name Student ID Parts Contributed _- ) fon

0

Phạm Minh Đức BAFNIU20213 Abstract ¥ Conclusion J0

Chapter HI

contents + References

Phùng Hữu Phán BAENIU20383 Chapter] 100%

Chapter II

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CHAPTER I: INTRODUCTION

1 Background information

2 Problems Statement

3 The layout of the study

CHAPTER II: LITERATURE REVIEW

1 The connection between internet commerce and consumer purchasing habits

2 Five hypotheses about influencing customer buying and using behavior

CHAPTER HI: RESEARCH METHODOLOGY AND DATA ANALYSIS RESULT

Online commerce has revolutionized the way consumers shop, providing unprecedented convenience and accessibility to a wide range of products and services This shift has also led to changes in consumer shopping behavior, as individuals have greater control over their purchasing decisions, more access to information and reviews, and more options to compare prices and products This paper examines the impact of online commerce on consumer shopping behavior, exploring the factors that influence online purchases, the role of social media and mobile devices in shopping, and the challenges faced by online retailers in meeting consumer expectations and preferences Overall, this research suggests that online commerce has transformed the consumer shopping experience, creating new opportunities for businesses to engage with customers and build long- lasting relationships

Shopping behavior Decision Online commerce Price & Product

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CHAPTER I: INTRODUCTION,

1 Background information

In recent years, online commerce has become increasingly popular as consumers have shifted their shopping habits to the digital realm With the rise of e-commerce platforms such as Amazon, Alibaba, and eBay, consumers can easily purchase goods and services from the comfort of their own homes This shift in consumer behavior has been driven by several factors, including convenience, price, and wider product selections

A large percentage of purchasers on the internet still utilize cash payment; more than 80% of poll respondents stated they use this method, while approximately 50% use bank transfer and payment by form Cards and e-wallets account for a little share The poll results also suggest that consumers continue to have several concerns while purchasing online, such as items not being of the claimed quality, the seller's reputation, delayed delivery, and not being received Customers, personal imformation exposure, and customer service

In addition to the advantages of e-commerce, psychological elements and customer trust

in online buying must be taken into account in order to allow the rapid expansion of online sales channels At the moment, research on online shopping focuses mostly on analyzing customer happiness and the quality of online business services; there is no in- depth study on the link between online commerce and consumer buying behavior

2 Problems Statement

Despite the benefits of online shopping, there are still several challenges that both consumers and e-commerce businesses face For consumers, one of the main issues is the inability to physically see and touch products before making a purchase This can lead to uncertainty and hesitation when deciding whether to buy a product

Additionally, consumers may be concerned about the security of their personal information and financial details when making transactions online On the other hand, e- commerce businesses face challenges related to customer acquisition and retention, supply chain management, and logistics With so many options available to consumers, it can be difficult for businesses to stand out and attract loyal customers

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Furthermore, managing inventory and ensuring timely delivery of products can be a complex and costly process Overall, there is a need to better understand consumer shopping behavior in the online commerce space and develop strategies to address the challenges faced by both

3 The layout of the study

Part 1: Theoretical basis related to the topic Theoretical basis related to the topic: buying behavior, online buying behavior, factors affecting online buying behavior and research models

Part 2: Research method Introduction to the proposed model, construction of the scale, sampling method, data collection, information collection process, statistical data analysis techniques used in the study this study

Part 3: Testing and analyzing survey results Research results and discussion: presenting and analyzing official quantitative research results including sample description, thereby adjusting the research model to further test the model and research hypotheses

Part 4: Evaluation of research results, conclusions, and recommendations This section is the general assessment and conclusion for the whole thesis Content includes summarizing studies, making comments and suggestions Finally, the description of the achieved results and the contributions of the thesis in terms of science, method as well as practical significance

CHAPTER II: LITERATURE REVIEW

1 The connection between internet commerce and consumer purchasing habits Online commerce is the buying and selling of products and services through electronic systems such as the internet and computer networks, divided into 4 groups based on the characteristics of buyers and sellers, which are: (1) Business to Business (B2B); (2) Business to consumer (B2C); Consumer versus Consumer (C2C); Consumer to Business (C2B) (Kotler and Armstrong, 2012)

In this study, we only focus on the second group of business-to-consumer (B2C) transactions When choosing to buy a product or service, consumers often rely on rationality to maximize the value of use based on the cost, consider the type of product or service to buy, the reason for buying, buy when and where to buy Consumption behavior

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is a consequence of environmental factors affecting the consciousness, characteristics and decision-making process of buyers leading to some purchasing decisions (Kotler, 2003) The consumer buying decision process is relatively stmilar between brick-and-mortar and online purchases, but there are also some differences due to the influence of the shopping environment and marketing communications (Kotler and Armstrong, 2012) The rapid development of technology, especially mformation technology and the internet, has profoundly influenced and changed the current rules of the business world in general and the shopping behavior of consumers in general

Pavlou and Fygenson (2006) argue that there is a close relationship between online commerce and online shopping behavior, based on e-commerce, consumers can search for mformation and buy products using technology Internet Online commerce affects consumers’ behavior and purchasing decisions m two aspects: (1) Factors that motivate consumers to purchase online; and (2) Factors that hinder consumers from shopping online

2 Five hypotheses about influencing customer buying and using behavior

- Perceived benefits of online shopping have a positive impact on consumers' online purchasing behavior

- The sense of risk when buying online has a negative effect on consumers’ online purchasing behavior

- Psychological factors have a positive impact on the online buying behavior of consumers

- Interest motivation has a positive impact on consumers’ online purchasing behavior

- Web design (aesthetic and content) has a positive impact on the online purchasing behavior of consumers

CHAPTER III: RESEARCH METHODOLOGY AND DATA ANALYSIS

RESULT INTERPRETATION

Picture 1

Shipping mode | Frequenc | Percentag Shipping mode

Second Class 10309 20% ie

Standard Class 30775 60%

5|Page

Aging Frequency | Percentage | Mean: ALL 5255039969 Picture 2

2 4815 9% = From the graph, we can see that the

3 5017 10% distribution ratig iéjaging is the same es

ALL Product Category | Frequenc | Percentag

Auto & Accessories 7505 15%

Home & Furniture 10309 20%

= From the chart and data table, we see that the Fashion is almost equal,

accounting for about 60%, and the lowest is electronic accounting for 5%

Picture 4

All Segment Frequenc | Percentag Segment

52% Home Office

Total 51290 100%

= From the chart and data table, we see that the Consumer is almost equal,

accounting for about 52%, and the lowest is Home Office accounting for 18%

ALL

Product

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Car & Bike Care 826 2%

Car Media Players 826 2%

Bik CỤ ta theo ef IEllla+pI8#yweck Rest 2Rest Car S@% Covers 2%

PRODUCT

no (W#ppi6digleeata Towelê ;» 0%Ø%0% 2%

Tablet

0%

T-Shirts

5%

Suits Curtains

Dinning fables

6%

Speakers Formal Shoes

fo OY,

Fossil Watch ron Shoe Rack Jeand%

%

= From the chart and data table, we see that the Sportswear is almost equal,

accounting for about 6%, and the same quantities is close 2%

Lower | Upper | Frequen | Percenta

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50 100 10809 21%

100 150 12930 25%

150 200 6035 12%

200 250 20267 40%

Total 51290 100%

Standard Deviation: 65,78137371

Sales

> From the chart and data table, we can see that the Sales focus on 200 to 250,

accounting for 40% And the lowest Sales are 0 to 50, 2%

Frequency Percentage

Total 51290 100%

Standard Deviation: 1,413452529

#050

#50100

100 150

= 150 200

@ 200 250

Picture 7

Quantity

20% 20%

ple lt 20%

= From the graph, we can see that the distribution ratio of the Quantity is the same

and is close to 20%

Frequency | Percentage

Total 51290 100%

Standard Deviation: 0,014114091

m1 m2

m4

ms

Picture 8

Discount

0,01

0,03

20% a 20%

= 0,04

@0,05

= From the graph, we can see that the distribution ratio of the Discount is the same

and is close to 20%

Lower | Upper Frequency | Percentage

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Standard Deviation: 49 0993276

> From the chart and data table, we can see that the Profits focus on 0 to 30 and

120 to 150, accounting for 30% and 22% And the lowest in over 150, 4%

Bound peer Frequency | Percentage Shipping Cost

15 “in 1919 4% 16% '#15 +infñnity

Standard Deviation: 4,90993276

= From the chart and data table, we see that Shipping Cost is highly concentrated from 0 to 5 accounting for 45%, followed by 10 to 15 accounting for 36%, and the lowest in over 15 accounting for 4%

Picture 11

Order Priority Frequency | Percentage AN Order Priorit M

Medium 29433 57% = Medium

Total 51290 100%

= From the chart and data table, we see that the Medium is almost equal,

accounting for about 57%, and the lowest is Low accounting for 5%

All Frequency | Percentage

Region

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Africa 4587 9% @ North

Total 51290 100%

= From the chart and data table, we see that the Central is almost equal,

accounting for about 22%, and the lowest is Canada accounting for 1%

CHAPTER IV: CONCLUSION

Based on the above arguments and data, we can infer that online commerce has revolutionized the way consumers shop, providing unprecedented convenience and accessibility to a wide range of products and services This shift has also led to changes

in consumer shopping behavior, as individuals have greater control over their purchasing decisions, more access to information and reviews, and more options to compare prices and products Using descriptive statistics, this examines the impact of online commerce

on consumer shopping behavior, exploring the factors that influence online purchases, the role of social media and mobile devices in shopping, and the challenges faced by online retailers in meeting consumer expectations and preferences Finally, the results of the data analysis show that this research suggests that online commerce has transformed the consumer shopping experience, creating new opportunities for businesses to engage with customers and build long-lasting relationships

1 Kotler, P (2003) Marketing Management, Eleven Ed Prentice-Hall, New York

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2 Garbarino, E., & Strahilevitz, M (2004) Gender differences in the perceived risk

of buying online and the effects of receiving a site recommendation Journal of Business Research, 57, 768-775

3 Childers, T.L., Carr, C.L., Peck, J and Carson, S., (2001) Hedonic and utilitarian motivations for online retail shopping behavior Journal of Retailing, 77(4), 511-

535

4 7 Reasons why people shop online http://www.articlesbase.com/home-business- articles/7-reasons-why-people-shop-online-554620.html

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