E-Business vs Traditional Retailing: A Comprehensive

Comparison on shopping
preference of Selected BSCA students in Philippine
Christian University Dasmarinas
Ralph Abel, Jason Cabuslay,
John Dizon,
Wesley Puaso
Philippine Christian University –
Dasmarinas College of Business
Administration and Accountancy
CHAPTER 1
Introduction
 CHAPTER 1
I. INTRODUCTION
The retail landscape has transformed significantly with the rise of e-business, creating a
dynamic interplay between traditional retailing and online shopping. E-business offers
convenience, a wide product selection, and competitive pricing, but concerns over product
quality and security persist. Traditional retailing provides immediate product experiences,
personalized service, and social interaction, but faces limitations in operational hours, reach,
and costs. Understanding these differences is crucial for effective navigation of the evolving
marketplace by retailers, consumers, and policymakers.
 CHAPTER 1
II. BACKGROUND OF THE STUDY
E-commerce has evolved significantly, reshaping consumer behavior and business strategies globally.
Enabled by the internet and mobile technology, it offers unparalleled convenience and accessibility. Lower
overhead costs allow online businesses to provide competitive pricing, attracting budget-conscious shoppers.
In contrast, traditional retailing faces challenges, notably from e-commerce competition. Brick-and-mortar
stores contend with high operational expenses and limited geographic reach. The convenience and varied
product selection of online retailers pose difficulties for traditional stores to compete effectively. Despite
these challenges, e-commerce's global reach contrasts with the localized presence of traditional retailers,
necessitating additional investments for expansion. Overall, e-commerce's rise has transformed the retail
landscape, emphasizing convenience and affordability while challenging traditional retail models.
 CHAPTER 1
III. THEORETICAL FRAMEWORK
The primary objective of this research study is to examine
the various factors that affect the purchasing behavior of
students of PCU Dasmarinas in order to identify whether they
prefer online shopping or onsite retailing. This study seeks to
gain a deeper understanding of the motives of students and
how their thought process works in regards of choosing what
mode of shopping they will use in order to obtain their needs
and wants. The findings of this study will be useful to
businesses who will start their business and are deciding
whether to establish an Ecommerce or on-site retail.
 CHAPTER 1
Input
- What is the age and gender of the
IV. CONCEPTUAL FRAMEWORK Output
respondents? Process - Online Shopping involves
digital receipts, door-to-door
- What mode of shopping do the - Online Questionnaire
respondents prefer? delivery, shipment tracking and
- How satisfied are the respondents - Statistical Treatment of product review.
using Online Shopping Platforms Data - Onsite Retailing incorporates
and Shopping in Physical stores in receipts, physical interaction
terms of Variety and availability of - Data Gathering
between products and staff for
products, Customer Experience, Procedures inquiries and immediate
Quality of products ,Affordability
and Voucher/Coupon Utilization? return/exchange.
 CHAPTER 1
V. STATEMENT OF THE PROBLEM
1. What is the age and gender of the respondents?
2. What mode of shopping do the respondents prefer the most?
3. How frequently are the respondents shop during sale period?
4. How satisfied are the respondents using Online Shopping Platforms?
4.1. Variety and availability of products
4.2. Customer Experience
4.3. Quality of products
4.4. Affordability
4.5. Voucher/Coupon Utilization
5. What can you recommend in this study?
 CHAPTER 1
VI. OBJECTIVES OF THE STUDY
1. To identify the demographic profile of the respondents.
2. To determine whether the respondents prefer online shopping or onsite retailing.
3. To examine how diverse the product selection is in online shopping and on-site retailing.
4. To differentiate the customer experience between online shopping and onsite retailing.
5. To compare the quality of products between online shopping and onsite retailing.
6. To assess the difference in the pricing range including discounts and vouchers between online shopping
and onsite retailing.
7. To compare the utility of vouchers and discounts in online shopping and onsite retailing.
 CHAPTER 1
VII. SIGNIFICANCE OF THE STUDY
The purpose of this study is to find out what influences the 1st, 2nd and 3rd year students' of Philippines Christian University
perceptions in online shopping and traditional retailing. This study will serve as the basis for subsequent research college students of
Philippines Christian University regarding online shopping and traditional retailing. The research's findings may aid in the development
of online shopping platforms geared specifically toward students. Online platform or application developers can use this finding to
improve their existing platforms or create new ones specifically for students by utilizing the research's findings. In addition, not only will
this research benefit online sellers, but it will also assist any business or organization considering converting to an online platform. This
examination can be an aide for them to get a smooth beginning in online shopping application and foster their capability of activity in the
future on the off chance that the understudies are their objective market. Online sellers can also improve the quality of online shopping
by streamlining the ordering process so that customers can search for products and place their orders in a few easy steps, thereby
eliminating redundant steps. In addition, the online retailer can enhance their privacy and security measures to make online shopping
more secure for customers. As a result, consumers believe they can save a lot of time and effort by shopping online.
 CHAPTER 1
VIII. SCOPES AND LIMITATIONS
This study will examine the perceptions and behaviors of male and female undergraduate students
aged 17 to 23 enrolled in the Bachelor of Science in Customs Administration at Philippine Christian
University Dasmarinas during the academic year 2023-2024. It aims to understand their attitudes
towards online shopping and onsite retailing. The research will focus on students' purchasing behavior,
whether through online platforms or physical stores. Data collection will involve online questionnaires
completed by the respondents. However, the specific research approach and tools employed may limit
the depth and breadth of data collected, possibly overlooking certain nuances in online buying
perception.
CHAPTER 2
Review of Related
Literature
 CHAPTER 2
Identifying Key Factors Affecting Customer Loyalty in a
Local Retailing Context
The localism movement, which encourages consumers and businesses to purchase from locally
owned, independent businesses within 100 miles of their residence, has increased in popularity
amongst consumers in the past five years (Ciuchta & O’Toole, 2018). Rather than shopping at big-
box, chain retailers, consumers are choosing to shop at local, independent retailers in their community
(Deloitte, 2016). Loyalty is an effective tool used by retailers to gain and retain customers. According
to the customer loyalty theory, when a customer repeatedly buys from one retailer over another, then
they are considered loyal to that store (Oliver, 1999). Based on prior research, there is strong evidence
of customer satisfaction acting as a precursor of customer loyalty (Mittal & Kamakura, 2001; Martins
Gonçalves & Sampaio, 2012).
 CHAPTER 2
Online Retailers Opening Brick and Mortar Stores and the Impact on the
Customer Base: The case of NetOnNet.
There is no doubt that in recent years technological trends have changed customers’ shopping behavior and
digitalization is shaping the future of the retail market. Online sales grew more than 10% in 2016 while in the same
period the total retail sales growth was just above 1% (Hodson, Perrigo, & Hardman, 2017). According to Fung
Global Retail and Technology, almost 7,000 brick and mortar store closure announcements have been made in the
United States alone during 2017, which is 200% of the previous year (Thomas, 2017). The internet revolution has led
many researchers to study the potential impact of e-commerce on retailing (Steve Burt, 2003; Alba, Lynch, Weitz,
Janiszewski, Lutz, Sawyer & Wood, 1997; Petterson, Balasubramanian, & Bronnenberg, 1997), as well as the
business opportunities and challenges related to the use of internet (Quelch & Klein, 1996). Others have analysed the
digitalization impact on offerings, actors, settings and exchange between retailers and consumers (Hagberg,
Sundstrom, & Egles-Zandén, 2016).
 CHAPTER 2
The Influence of Website Design on Online Trust in Electronic
Commerce Retailing Environments
This study sought to explore the effect of website design on online trust. Using constructs and scales synthesized from
the salient literature, the effects of visual design, social-cue design, and content design on online trust were measured and
reported. Additionally, the mediating influence of online trust on online purchase intention was investigated.
Demographic factors of age and gender were also examined for possible moderating effects of website design on online
trust. A conceptual model of the influence of website design on online trust and the influence of online trust on purchase
intention in e-commerce retailing environments was also tested. The results found that each of the components of website
design namely, visual design, social-cue design, and content design had a statistically significant effect on online trust.
Online trust was also found to mediate the effect of these design factors on purchase intention. Finally, no significant
effects of age or gender on website design’s relationship with online trust were found. Subsequently, implications and
suggestions for future research are presented.
 CHAPTER 2
The Impact of Online Shopping Attributes on Customer Satisfaction and
Loyalty: Moderating Effects of E-Commerce Experience.

The study collected data on various factors, including perceived information quality, privacy concerns, perceived
security, product variety, and product delivery, analyzing them as contributors to customer satisfaction. The research
identified information quality and satisfaction as crucial determinants of customer loyalty. Structural equation modeling
was employed to analyze 287 completed responses. Furthermore, this study actively examines consumer preferences,
indicating a deliberate effort to understand what factors drive individuals to choose e-commerce over other modes of
shopping. This exploration could encompass aspects such as convenience, accessibility, pricing, or any other factors
influencing consumer choices in the realm of e-commerce. The findings reveal that customer satisfaction among online
shoppers is influenced by factors such as product delivery, perceived security, information quality, and product variety.
Additionally, customer loyalty towards web stores is shaped by both customer satisfaction and information quality.
 CHAPTER 2
A Comparative Study of Traditional Shopping and Online Shopping
Special Reference to Dharga Town
To support the aim of this study which is centered on the comparison of E-Business and Traditional Business, a
related study supports the objectives of this paper. According to a comparative study conducted by Milhana (August,
2022), Online shopping has greater level of convenience than traditional shopping, it allows consumers to compare
various product prices which leads people on the best decisions the can take in terms of buying under a budget.
However, the study revealed that online shopping is lesser in terms of safety due to relevant fraud and scams
circulating online, this includes unmatched product description, payment scamming, and product defects. Therefore,
the study arrived at a conclusion inferring that online shopping is more convenient but traditional shopping is much
more safe as it allows consumers to buy a product hand by hand.
 CHAPTER 2
New research: 69% of online shoppers go straight to the search bar when
visiting ecommerce sites, but 80% leave due to a poor experience

In a research successfully sought by Petrovic (February, 2023), among the hundred percent of online
shoppers, 69% goes directly to the search but 80% leave the site due to poor experience. This conclusion of the study
was answered through a survey of 2,000 general consumers where they are asked of their experience in online shops.
The result revealed that 41% of users are frustrated due to irrelevant results shown after searching a product, 32%
refer to products being shown despite having no available stocks, 30% is for being too wide when it comes to search
results, 27% is for the site loading too long, and 26% is when the site cannot interpret queries. With this, Despite
online shopping being widely known as a means of convenience, the result of the study proved that this general
perception is too lame to believe.
 CHAPTER 2
Why Do Some Consumers Still Prefer In-Store Shopping? An
Exploration of Online Shopping Cart Abandonment Behavior

As online shopping carts are a crucial part of online shopping, several behaviors are practiced by consumers in
their shopping carts. Some tend to abandon their orders in the cart or push through the checkout process. This
behavior was discovered to have a negative perception of online shopping according to the study conducted by Wang
et. al (January, 2022). The paper discusses the frequency of customers' waiting behavior towards low price products
and their hesitation in pushing through. By the usage of Stimulus-Organism-Response (S-O-R) the study concluded
that customer’s behavior of waiting for a lower price is the main factor why people tend to hesitate in pushing
through an online buying transaction or referred to as cart abandonment. With this, it is proved that In - store
shopping or traditional shopping takes the lead of being a business with a high level of purchasing transaction as it
directly communicates with customers.
 CHAPTER 2
The Impact of Online Reviews on Consumers’ Purchasing Decisions:
Evidence From an Eye-Tracking Study
To support the aim of this study in the digital era, online reviews wield considerable influence over consumer
purchasing decisions. According to Anderson and Simester (2003) have emphasized the pivotal role of consumer
expectations in shaping purchase intentions and subjective probability judgments. Moreover, According to Chevalier
and Mayzlin (2006) elucidated the direct impact of word-of- mouth, particularly through online book reviews, on
actual sales figures. As consumers navigate the vast landscape of online reviews, factors such as review quality,
product type, and the presence of reviewer photos, as highlighted by Lee and Shin (2014), become crucial
determinants of purchasing behavior. Understanding these dynamics is paramount for businesses seeking to harness
the persuasive power of online reviews to drive sales and enhance brand reputation.
 CHAPTER 2
A study on factors limiting online shopping behaviour of consumers

Luo and Zhang's (2013) research further delved into the intricate relationship between consumer reviews and
product sales, revealing the moderating effect of market competition. Their findings underscored the importance of
contextual factors in shaping the impact of online reviews on consumer behavior. Similarly, Park, Lee, and Han
(2007) explored the nuanced interplay between online consumer reviews and purchasing intentions, highlighting the
moderating role of consumer involvement. By examining these underlying mechanisms, researchers gain valuable
insights into how businesses can optimize their online review strategies to effectively engage consumers and drive
sales.
 CHAPTER 2
Why Do Some Consumers Still Prefer In-Store Shopping? An
Exploration of Online Shopping Cart Abandonment Behavior

This study on online reviews by various authors offers a nuanced understanding of their influence on consumer
purchasing decisions. From the pivotal role of consumer expectations highlighted by Anderson and Simester (2003)
to the moderating effects of market competition and consumer involvement elucidated by Luo and Zhang (2013) and
Park, Lee, and Han (2007) respectively, these studies collectively underscore the complexity of consumer behavior in
the digital age. By leveraging these insights, businesses can tailor their online review strategies to effectively engage
consumers, build brand credibility, and drive sales in an increasingly competitive marketplace.
CHAPTER 3
Methodology
 CHAPTER 3
Research Design
This study will use a Quantitative Comparative Research Design to investigate the differences
between the mode of shopping that Bachelor of Science in Customs students from the Philippine
Christian University Administration prefer and the factors that affect their preference. According to
MokhtarianPour, a comparative study is a kind of method that analyzes phenomena and then puts
them together to find the points of differentiation and similarity. In this study, there are three
phenomena that affect the preference of the respondents, namely the convenience factor, the product
variety and the satisfaction level. A survey method was used in which the respondents will answer the
question through questionnaires.
 CHAPTER 3
Respondents of the Study

The respondents of the study will be Bachelor of Science in Customs students from the Philippine
Christian University Administration. The researchers chose the BSCA Students in order to gain
knowledge dedicated to the Research subject.
 CHAPTER 3
Data Gathering Instruments

The researchers used a questionnaire to gather the data needed. The questionnaire requests the
response of the students whether they prefer online shopping or onsite retailing. The Likert Scale was
used as the format for the questionnaire. Answers could range from 5 for “Very Satisfactory” to 1 for
“Very Dissatisfactory,” 4 for “Satisfactory,” 3 for “Neutral” and 2 for " Dissatisfactory.”
 CHAPTER 3
Sampling Technique

The sampling method used was simple random sampling by randomly sending questionnaires to the
students at Philippine Christian University. This approach ensured that the participants are familiar
with both online shopping and onsite retailing and have sufficient experience with both modes of
shopping. Slovin’s formula was further used to precisely select the participants due to the small
timeframe of the study.
 CHAPTER 3
Data Collection

A research request letter has been prepared before distributing the online questionnaire. The
researchers will construct a questionnaire regarding the shopping preference of the student that was
made using google forms, which was validated by the professor, before being distributed to the
respondents. After the respondents completed the questionnaire, the researchers collected and
compiled the data for interpretation.
 CHAPTER 3
Data Analysis

The researchers will collect, analyze, summarize and represent the raw data through descriptive
analysis using statistical methods. The weighted mean is a statistical measure that takes into account
the weights assigned to different values in a data set.
 CHAPTER 3
Data Analysis
W = weighted average
n = number of terms to be
average
Wi = weights applied to x
values
Xi = data values to be averaged
 CHAPTER 3
Data Analysis

The researchers will collect, analyze, summarize and represent the raw data through descriptive
analysis using statistical methods. The weighted mean is a statistical measure that takes into account
the weights assigned to different values in a data set.
 CHAPTER 4
RESULTS AND DISCUSSIONS
Introduction
 CHAPTER 4

This chapter reviews the results and analysis of the qualitative data, the compilation of the
questionnaire and the results and analysis of the quantitative findings of the study. The frequency
tables show the findings as derived from the responses by respondents to the various questions
contained in the questionnaire followed by discussions.
 CHAPTER 4
I. Demographics
Age Frequency Percentage
19 2 5.7%
20 7 20%
21 21 48.6%
22+ 9 25.7%

Table 1 shows the age of the respondents wherein the majority of respondents are 21 years
of age while respondents below 21 y/o is the same in frequency with respondents above 21 y/o.
 CHAPTER 4
I. Demographics
Year Level Frequency Percentage
1stYear 4 11.4%
2ndYear 11 31.4%
3rdYear 20 57.1%
Year Level Frequency Percentage

Table 2 shows the year level of undergraduate respondents wherein majority of respondents
are 3rd year, next is the 11 respondents who are 2nd year students and lastly, 4 1st year
students.
 CHAPTER 4
I. Demographics
Gender Frequency Percentage

Male 17 48.6%

Female 18 51.4%

Table 3 shows the gender of the respondents wherein 17 were male respondents and 18 were
female respondents.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What method of shopping do you prefer the most?

Preference Frequency Percentage

Online Shopping 25 71.4%

Onsite Retailing 10 28.6

Table 4 shows the shopping preference of students in terms of the mode of shopping. It
revealed the majority of the respondents prefer online shopping rather than onsite retailing, this
may be due to several factors that will be analyzed in the following tables.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate the frequency of finding the specific item/s you're searching for when shopping
online?
Frequency Percentage Mean Score Verbal Interpretation
Always 5 14.3% 3.71 High
Often 17 48.6%
Sometimes 12 34.3%
Seldom 0 0%
Never 1 2.9%
The analysis of the table shows that online shopping platforms performs well in terms of providing wide item variety,
with majority finding what they need or want in the platform, however, there was still a group who doesn’t find what they
search for all the time which is a room for improvement for more item variety and availability.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate the customer service provided by online shopping platforms?
Frequency Percentage Mean Score Verbal Interpretation
Very Satisfactory 6 17.1% 3.77 High
Satisfactory 17 48.6%
Neutral 11 31.4%
Dissatisfactory 0 0%
Very Dissatisfactory 1 2.9%
The analysis shows that the customer service provided in online shopping platforms were positively perceived by the
respondents, however, a group of respondents are neutral in this question which is a ground for improvement for online
shopping platform customer service agents.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate the durability of product/s typically found on online shopping platforms?

Frequency Percentage Mean Score Verbal Interpretation

Very Satisfactory 8 22.9% 3.86 High
Satisfactory 18 51.4%
Neutral 7 20%
Dissatisfactory 0 0%
TheVery
analysis reveals that the durability
Dissatisfactory 2 of products that5.7%
were usually found in online shopping platform was generally
perceived positively by the respondents, however, a group of respondents are neutral in this question which may be the
result of fragile or broken products being shipped and delivered to the respondents.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate the authenticity of product/s typically found on online shopping platforms?

Frequency Percentage Mean Score Verbal Interpretation

Very Satisfactory 5 14.3% 3.60 High
Satisfactory 15 42.9%
Neutral 12 34.%
Dissatisfactory 2 5.7%
The analysis
Very reveals that the authenticity
Dissatisfactory 1 of product2.9%
typically found in online shopping platforms were positively
perceived by the respondents, however, a group of respondents are neutral in this question which may be the result of fake
and counterfeit items being sold in online shopping platforms.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate the overall quality of product/s typically found on online shopping platforms?

Frequency Percentage Mean Score Verbal Interpretation

Very Satisfactory 5 14.3% 3.69 High
Satisfactory 19 54.3%
Neutral 8 22.9%
Dissatisfactory 1 2.9%
The analysis reveals that the overall quality of products usually found in online shopping platforms positively
Very Dissatisfactory 2 5.7%
perceived by the respondents, however, a group of respondents are neutral in this question which may be the result of
problems encountered in the past.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate the overall customer experience provided by online shopping platforms?

Frequency Percentage Mean Score Verbal Interpretation

Very Satisfactory 4 11.4% 3.77 High
Satisfactory 21 60%
Neutral 9 25.7%
Dissatisfactory 0 0%
The Analysis in this table is Most of the respondents have Satisfactory which is 60% because they have experience of
Very Dissatisfactory 1 2.9%
it and the second is the 25.7% of it are neutral to the customer service of online shopping.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate the affordability of product/s on online shopping platforms?

Frequency Percentage Mean Score Verbal Interpretation

Very Satisfactory 11 31.4% 4.02 High
Satisfactory 16 45.7%
Neutral 7 20%
Dissatisfactory 0 0%
Very Dissatisfactory 1 2.9%
Base on the Analysis is 45.7% of the respondents choose to answer Satisfactory and Second is the 31.4% have
answered Very satisfactory and 20% of them are neutral and 2.9% Very Dissatisfactory and only one respondent
answered.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

Do you think the quality of the product/s that you are paying for on online shopping platforms is right
for its price?
Frequency Percentage Mean Score Verbal Interpretation
Very Satisfactory 9 25.7% 3.94 High
Satisfactory 17 48.6%
Neutral 8 22.9%
Dissatisfactory 0 0%
Very Dissatisfactory 1 2.9%
Base on the analysis that we have most of them answered the Satisfactory because they believe that the quality of its
products is in the right of price and the others have answered here is 25.7% are very satisfactory on it and one respondent
answers Very Dissatisfactory.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate your frequency of voucher/s or coupon/s utilization when making purchases on
online shopping platforms?
Frequency Percentage Mean Score Verbal Interpretation
Always 14 40% 4.05 High
Often 11 31.4%
Sometimes 9 25.7%
Seldom 0 0%
Never 1 2.9%
The analysis on it is 14 respondents which is 40% answered Always because they use coupon for making purchases on
online shopping and the other is 31.4% the respondents answered often and 25.7% answered sometimes and lastly only
one respondent answer never.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate your frequency of shopping in online shopping platforms during sale period?

Frequency Percentage Mean Score Verbal Interpretation

Always 15 42.9% 4.08 High
Often 12 34.3%
Sometimes 6 17.1%
Seldom 1 2.9%
Based on the analysis, 42.9% of the respondents
Never 1 answered Always which is 15 respondents and 12 respondents answered
2.9%
often which is 34.3% often and the others are sometimes and one respondent answered Seldom which he/she uses online
shopping platforms during scale period and lastly 1 respondent answered Never in shopping in scale period.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate the frequency of finding the specific item/s you're searching for when shopping in
physical stores?
Frequency Percentage Mean Score Verbal Interpretation
Always 4 11.4% 3.51 High
Often 17 48.6%
Sometimes 10 28.6%
Seldom 1 2.9%
Never 3 8.6%
The analysis indicates that physical stores are doing well regarding item availability, with a significant number of respondents often
finding what they need. Nevertheless, a small group still faces challenges, highlighting opportunities for improvement in inventory
management and stock availability. Tackling these issues could further boost customer satisfaction and the overall shopping experience.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate the customer service provided by retail staffs in physical stores?

Frequency Percentage Mean Score Verbal Interpretation

Very Satisfactory 10 28.6% 4.20 Very High
Satisfactory 12 34.3%
Neutral 12 34.3%
Dissatisfactory 0 0%
The analysis shows that customer service in physical stores is perceived positively by most respondents, with a mean score indicating a
Very Dissatisfactory 1 2.9%
"Very High" level of satisfaction. However, the notable proportion of neutral responses suggests potential areas for improvement. Focusing on
enhancing service quality to exceed basic expectations could further elevate customer satisfaction and strengthen the overall shopping
experience.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate the durability of product/s typically found in physical stores?

Frequency Percentage Mean Score Verbal Interpretation

Very Satisfactory 10 28.6% 3.97 High
Satisfactory 16 45.7%
Neutral 8 22.9%
Dissatisfactory 0 0%
Very Dissatisfactory 1 2.9%
The analysis reveals that the durability of products in physical stores is generally perceived positively, with a high level of satisfaction
reflected in the mean score. However, the presence of neutral responses suggests potential areas for improvement. Enhancing product quality
to surpass basic expectations could further increase customer satisfaction and strengthen the reputation of physical stores for selling durable
products.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate the authenticity of product/s typically found in physical stores?

Frequency Percentage Mean Score Verbal Interpretation

Very Satisfactory 14 40% 4.02 High
Satisfactory 11 31.4%
Neutral 8 22.9%
Dissatisfactory 1 2.9%
Very Dissatisfactory 1 2.9%
The analysis indicates a predominantly positive perception of the authenticity of products found in physical stores, with most respondents
expressing confidence in the legitimacy of items available for purchase.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate the overall quality of product/s typically found in physical stores?

Frequency Percentage Mean Score Verbal Interpretation

Very Satisfactory 17 48.6% 4.22 Very High
Satisfactory 11 31.4%
Neutral 6 17.1%
Dissatisfactory 0 0%
The data suggests an overwhelmingly positive sentiment regarding the quality of products available in physical stores. The majority of respondents
Very Dissatisfactory 1 2.9%
express satisfaction with the products, as evidenced by the absence of dissatisfactory responses and the high proportion of "Very Satisfactory" ratings.
Despite a single outlier expressing extreme dissatisfaction, the overall trend points towards a favorable perception of product quality among consumers.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate your overall shopping experience in physical stores?

Frequency Percentage Mean Score Verbal Interpretation

Very Satisfactory 16 45.7% 4.14 High
Satisfactory 10 28.6%
Neutral 8 22.9%
Dissatisfactory 0 0%
Very Dissatisfactory 1 2.9%
The survey results indicate a predominantly positive perception among respondents. With 45.7% rating their experience as "Very
Satisfactory" and 28.6% as "Satisfactory," a total of 74.3% had favorable views. Additionally, 22.9% rated their experience as "Neutral," and
only 2.9% rated it as "Very Dissatisfactory," with no respondents choosing "Dissatisfactory." The mean score of 4.14, interpreted as "High,"
further emphasizes the generally positive sentiment towards physical store shopping experiences among the participants.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate the affordability of product/s in physical stores?

Frequency Percentage Mean Score Verbal Interpretation

Very Satisfactory 6 2.9% 3.60 High
Satisfactory 13 5.7%
Neutral 13 37.1%
Dissatisfactory 2 37.1%
Very Dissatisfactory 1 17.1%
The result of the survey reveals that a majority of respondents hold a neutral to negative view. Specifically, 37.1% rated affordability as
neutral and another 37.1% as dissatisfactory. Only a small fraction found it very satisfactory (2.9%) or satisfactory (5.7%). The overall mean
score of 3.60, verbally interpreted as "High," suggests that while there is some level of satisfaction, it is not widely shared, indicating room
for improvement in perceived affordability.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

Do you think the quality of the product/s that you are paying for in physical stores is right for its
price??
Frequency Percentage Mean Score Verbal Interpretation
Very Satisfactory 7 20% 3.83 High
Satisfactory 17 48.6%
Neutral 10 28.6%
Dissatisfactory 0 0
Very Dissatisfactory 1 2.9%
According to the survey results, 68.6% of respondents find the quality of the product/s they purchase in physical stores either satisfactory or
very satisfactory. Additionally, the mean score of 3.83 indicates a generally high level of satisfaction. However, there is a small portion, 2.9% of
respondents, who find the quality very dissatisfactory. Overall, the majority of respondents seem to perceive the quality of the products they
purchase in physical stores as fitting for the price, with a notable portion expressing high satisfaction.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate your frequency of voucher/s or coupon/s utilization when making purchases on
physical stores?
Frequency Percentage Mean Score Verbal Interpretation
Always 8 23.5% 3.54 High
Often 12 35.3%
Sometimes 11 32.4%
Seldom 1 2.9%
Never 2 5.9%
The survey results indicate that a significant portion of respondents, comprising 23.5%, always utilize vouchers or coupons when making purchases in physical
stores, suggesting a high frequency of coupon utilization. Additionally, 35.3% of respondents often use vouchers or coupons, indicating a substantial number of
individuals who frequently take advantage of such discounts. Conversely, a smaller percentage of respondents indicated sometimes utilizing coupons (32.4%), with only a
minority reporting seldom (2.9%) or never (5.9%) using them. Overall, the data suggests that coupon usage is relatively common among the surveyed population, with a
notable portion consistently taking advantage of such discounts.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

What would you rate your frequency of shopping in physical stores during sale period?

Frequency Percentage Mean Score Verbal Interpretation

Always 6 17.1% 3.77 High
Often 18 51.4%
Sometimes 8 22.9%
Seldom 3 8.6%
Based on the survey responses, the majority of respondents (51.4%) shop in physical stores during sale periods often, while a significant portion (17.1%) do so
Never 0 0
always. This indicates a high frequency of shopping during sales among the surveyed population. Only a small percentage of respondents seldom (8.6%) or never (0%)
shop during these periods. The mean score of 3.77 further supports this interpretation, suggesting a generally frequent occurrence of shopping during sales among the
respondents.
 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

Factors that affect shopping preference

Sale Period Shopping

Voucher/Coupon Utilization

Value for money

Affordability

Overall Customer Experience

Overall Quality of Products

Authenticity of Products

Durability of Products

Customer Service

Item Variability

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5

Onsite Retailing Online Shopping

 CHAPTER 4
II. Presentation, Interpretation, and Analysis of Data

The graph illustrates the strengths and weaknesses of both online shopping and onsite retailing. Online
platforms excel in item variability, availability, authenticity, affordability, and user interface convenience.
They benefit from easily replenishing inventory, replacing suppliers, and offering cheaper prices.
Conversely, physical stores outshine online platforms in customer service and product durability. Sales
personnel can provide direct assistance, while products undergo stringent quality control, enhancing
overall quality. Despite respondents favoring online shopping, they acknowledge better customer
experiences in onsite retailing.
CHAPTER 5
CONCLUSION AND
RECOMMENDATION
 CHAPTER 1
Conclusion
In conclusion, the analysis of the data reveals both online shopping and onsite retailing’s distinct advantages and
drawbacks. Online shopping excels in areas such as item variability and availability, authenticity, affordability, and
convenience. The ability to easily replenish inventory and offer a wide range of products gives online platforms an edge in
variability and availability. Online shopping also benefits from the flexibility to replace suppliers in response to negative
feedback, enhancing product authenticity. The reduced operational costs of online retailers allow for more competitive pricing,
providing better value for money to consumers. Additionally, the user-friendly interfaces and the convenience of shopping
from home, coupled with the ease of using vouchers and participating in sales events, further bolster the appeal of online
shopping.
In summary, while online shopping is preferred for its convenience, variety, and cost-effectiveness, onsite retailing remains
unmatched in providing high-quality products and personalized customer service. This suggests that a hybrid approach,
leveraging the strengths of both channels, could offer the most comprehensive shopping experience for consumers.
 CHAPTER 1
Recommendations
We, the researchers therefore recommend to online platform or application developers to use this finding to improve their
existing platforms or create new ones specifically for students by utilizing the research's findings and also online sellers can
improve the quality of their online shop by streamlining the ordering process so that customers can search for products and
place their orders in a few easy steps, thereby eliminating redundant steps, the online retailer can also enhance their privacy
and security measures to make online shopping more secure for their customers. With the advent of both online and instant
shopping options, retailers are faced with the challenge of catering to diverse consumer needs while staying competitive in the
market. The integration of omnichannel can result in flexible delivery options, click-and-collect services, and in-store pickup
which can provide consumers with greater convenience and flexibility. Market Trends awareness can help retailers to adapt and
innovate in response to changing consumer preferences and technological advancements.
Thank You!!!