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Online Shopping Behavior among Teenagers from Canossa Academy Lipa City in times of Pandemic - Research Paper

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Online Shopping Behavior among Teenagers from Canossa Academy Lipa City in times of
Pandemic
A Research Paper
Presented to
Mr. Bryan Lexter Roxas
Canossa Academy, Lipa City
in partial fulfillment
of the requirements in
Research Project
Submitted by:
Mortega, Shanen Barbie K.
Manaig, Adrienne Erika A.
12- St. Padre Pio
March 29,2021
Abstract
In the past year that the world has been facing the pandemic known as COVID-19,
consumers drastically shifted from physical shopping to online shopping as the time to go out and
shop for foods, groceries, and other products have been limited due to protocols and community
quarantines implemented nationwide. Consumers are known to have different shopping behaviors
when it comes to online shopping. The researchers would want to find out the Different Online
Shopping Behaviors among Teenagers of Canossa Academy Lipa in these times of Pandemic. The
researchers would also study the factors that drives teenagers to shop online, as well as their future
decisions about online shopping. This research serves as a tool in providing additional knowledge
in understanding different online shopping behaviors that various teenagers have. The researchers
will gather statistical data from the Grade 12 students of Canossa Academy Lipa. The researchers
have surveyed a total of 100 respondents due to restrictions from distributing the survey to more
respondents. The researchers infer that most consumers consider the product factor the most, and
that most of them have Dissonance-Buying Behavior when shopping online. It is can also be said
that most of the teenagers from Canossa Academy Lipa are most likely to continue to shop online
even when everything comes back to normal by the time that the pandemic stops.
1.0 Introduction
Electronic commerce has been one of the main features of the Internet Age. Online
Shopping has been an essential part of people’s lives these days. Day by day, more and more
people engage into shopping online. According to the UCLA Center for Communication Policy,
online shopping has become the third most common operation on the Internet, immediately
following e-mail use/instant messaging and web surfing. Last year alone, nearly half (49.2%) of
E-Commerce sales were made through mobile devices (Statista,2020). This statistic shows how
online shopping has become a part of the rise of e-commerce sales in the year 2020 alone.
According to Statistica (2020), Seventy-five percent (75%) of people shop online at least once a
month. This shows that online shopping has become a trend, and there are big opportunities to land
repeat customers who would buy from sellers again and again.
Even before the beginning global health pandemic, or what is most known as the
coronavirus (COVID-19), online retail sales have been growing at an average of 11.5% per year
in Western Europe alone, (Grady, Kumar, 2020). As the world responds to the COVID-19
pandemic, we are seeing a drastic change from in-person shopping to online shopping. Consumers
nowadays depend on the digital environment more than companies. Filipinos increased their online
shopping by 57% in the first half of 2020 relative to the same time last year – the highest such
development in Southeast Asia, according to an electronic commerce aggregator survey,
(Nonato,2020). With this, companies are forced to change their strategies and move towards digital
transformation more urgently than ever to keep up with the high demand in online shopping. As
most stores closed, customers became, often completely, reliant on online shopping.
As the number of people who choose to shop online increases, the identification of the
online shopping behaviors that consumers become observable. Unlike a physical store, all items
in online stores are represented in text, images, and multimedia files, and this is a reason why
consumers have different behaviors when it comes to online shopping. Many online retailers can
have links to a lot of extra details about their items. On the other hand, some online users are
adventurous explorers, fun-seekers, and shoppers. These behaviors arise when a customer shops
online. According to Kotler and Armstrong (2014), consumer buying behavior is classified along
with two axes: high or low involvement purchases, and significant or few brand differences. There
are four main consumer buying behaviors that most consumers have nowadays.
As per High-Involvement Purchases, there are two types of behavior. The first one is
Complex Buying Behavior. Complex purchasing behavior happens when the consumer is
extremely active in the transaction and there are major variations between brands, (Lotha, 2018).
Furthermore, Kotler and Armstrong (2014), said that in complex buying behavior, the buyer is
extremely active within the purchasing or buying process and is extensive within the pre-purchase
analysis thanks to the high level of economic or psychological risk. Samples of this sort of buying
behavior involve buying costly items or services like gadgets, electronics, etc. The second one is
Dissonance- Reducing Buying Behavior. In dissonance-reducing buying behavior, the consumer
is highly involved but sees little difference between brands. Like complex buying behavior, this
type presupposes a lot of involvement in the purchase process due to high prices or infrequent
purchases. Consumers will choose such products on the basis of price or convenience and then
after the purchase, seek further confirmation that they have made the right choice. In this case,
since perceived brand differences are not big, consumers can shop around to learn what's available,
but purchase reasonably quickly. They can respond primarily to a good price or to the purchase of
convenience. After purchase, consumers can experience post-purchase dissonance (after-sales
discomfort) by finding some drawbacks of the purchased carpet brand or hearing favorable details
about unpurchased products.
There are also two types of consumer buying behaviors that requires low-involvement
purchases. The first one is Habitual Buying Behavior. Habitual buying behavior occurs when
involvement is low, with little differences between brands and frequent purchases (Xhema, 2019).
Consumers usually don't have a powerful attitude towards a brand during this case, but a bit
selective because it's familiar. Consumers just go and purchase it – there is no loyalty to the brand.
Consumers don't research or need information on the acquisition of such products. This sort of
shopping behavior is influenced by radio, television, and print media. Additionally, consumers are
buying on the idea of brand name familiarity. The second one is Variety-Seeking Buying Behavior.
Variety-seeking buying behavior occurs in low consumer involvement, significant brand
differences, and consumers make several changes to the brand (Voramontri, 2018). This happens
where the consumer is not interested in the purchase, but there are major variations in the brand.
In this situation, the cost of moving goods is minimal, meaning that the customer can shift from
one brand to another, maybe just out of boredom. Hence, the decision to buy a different type of
product does not contribute to any negative experience or attitude towards the other product. With
variety-seeking buying behavior, brand loyalty is very low, which is the behavior of buyers to stay
committed to buying one particular brand over any other.
Online shopping behaviors are linked to various factors. Customers perceive different
factors before making an online transaction. These factors could be product factor, price factor,
convenience factor, payment factor or psychological factors. These are the most relevant factors
and are most likely to be perceived by customers the most.
The product factor can be seen in a way that a product can be anything like a good service,
place, and information that seek attention and try to satisfy the wants, needs, or desires of the
consumers. Good quality product can be characterized as a defect-free product that can be
distinguished by eight main parameters, such as the product efficiency, features of the product,
product reliability, product confirmation, product durability, serviceability, beauty and quality
perception, (Tjiptono,2008). Only when a product can perform and reach what the customers'
needs and wants, can it be called a quality product. According to Mashao and Sukdeo (2018), most
customers buy goods by looking at product content, product characteristics, product efficiency and
product cost. The quality of the product can be able to form the seller’s reputation that can impact
the customer’s decision to purchase the product.
The next factor is price factor. Prices may be expressed as money that is charged for
products or services, or the amount of value that consumers have to pay for receiving, buying or
using goods or services (Kotler & Armstrong, 2012). Price accumulates income for the business
organization, and in most cases, price is the only element that influences consumers more during
their purchasing decisions. For an instance, companies offer a competitive price to the market and
oftentimes, companies offer special discounts for their products to attract their market. According
to Munusamy and Hoo (2008), the pricing strategy has a significant impact on customer motives
and consumer purchasing decisions. Consumers pay close attention and consideration to the price
when they decide to purchase the product. Customers are most likely to purchase products at an
affordable price rather than the expensive ones.
Another factor is the convenience factor. Convenience is one of the best features of online
shopping. This is the primary reason that people believe that online shopping is a huge help to their
lives because it saves them time throughout the day, (Reile, 2021). To shop online is convenient
for customers as a simple scroll and click in an online shop, customers can already purchase the
products they want. Instead of going out to shop, individuals are able to save time to shop and do
what they want to do at the same time. Somehow connected to this factor is the time saving factor
which demonstrates that consumers need less time to shop online compared to physical stores in
which an individual is most likely to wait in long queues to checkout. As there are a variety of
online stores that people have access to, just about every type of product is available to buy online.
Less time is required for an individual to shop online.
Payment Factor refers to the method of payment that consumers use when they purchase
products online. One of the most used payment methods is the e-payment system. The e-payment
system refers to an electronic payment system that enables consumers to work electrically
anywhere in the world (Humphrey, Pulley, and Vesala, 1996). It allows people to pay
electronically anytime and at any time. This is somehow connected to the convenience factor, as
online payment is convenient and is easy to use. In the Philippines however, the majority or 80
percent of e-commerce transactions in the Philippines are still cash-on-delivery transactions
according to a report by Asian Development Bank, (Ordinario,2018). Cash on delivery is one of
the prominent payment methods for online shopping in the Philippines as consumers prefer to get
and see the goods before paying them and cash on delivery has made it easy to pay for them. Cash
on delivery is a type of payment method where the receiver (consumer) makes the payment for the
order at the time of delivery rather than in advance.
The purpose of this research is to study the different online shopping behaviors of teenagers
from Canossa Academy Lipa City in times of pandemic. The factors that affect their decisions to
purchase online is to be studied as well. This research will help in providing the reader a deeper
understanding and assessment of online shopping behaviors that they might have themselves. This
research can also serve as a tool in providing additional knowledge in understanding different
online shopping behaviors that various teenagers have.
Online shopping has been a part of every teenager’s life during this pandemic. In shopping
online, different consumer behaviors can be observed, and there are different factors that drive
consumers to make their online purchases. These different factors are product, price, convenience,
payment or psychological factors.
As there is a rising trend in the use of e-commerce worldwide and that online shopping is
becoming increasingly global, most especially in these times of the pandemic, different online
shopping behaviors are observed for consumers to have. This study is set to determine the different
online shopping behaviors that teenagers from Canossa Academy Lipa City have during the
pandemic, as well as the factors that are linked to such online shopping behaviors. This research
was guided by the following researches questions:
1. What factors influence teenagers from Canossa Academy Lipa City to shop online?
2. What consumer buying behaviors do teenagers possess when they shop online?
3. Will teenagers from Canossa Academy Lipa City continue to buy online once the
pandemic stops?
The findings of the research may be significant to the following: First, to the consumers,
which are the teenagers from Canossa Academy Lipa City, for they have these online shopping
behaviors themselves. This research may help them in assessing such behaviors and the factors
linked to it, to understand such behaviors and if they would still continue to shop online once the
pandemic stops. Second, to the online sellers, that they may learn about the consumer behavior
that teenagers have, for them to understand their customers more. Third, to the researchers of this
study, who are also teenagers from Canossa Academy Lipa City, that they may use the information
gathered in understanding consumer behavior that can be useful to their course in the next
academic years as they are ABM (Accountancy and Business Management) students. Fourth, to
the future researchers, to give them knowledge as they may research about the same topic and use
this paper as a source of information.
2.0 Methods
The researchers used descriptive type of research to acquire answers directly from the
respondents. The researchers conducted the study in Canossa Academy Lipa City and chose Grade
12 students as their respondents. In order to have sufficient data to interpret most teenagers’ online
shopping behavior, the researchers chose to survey students from the same grade level and used
convenience sampling in distributing the questionnaires. Convenience Sampling is a form of nonprobability sampling approach that relies on data collection from potential respondents who are
readily available to engage in the analysis. The researchers have asked each sections of Grade 12
in Canossa Academy Lipa for those who are willing to answer the survey provided in Google
Forms. The researchers used an online sampling size calculator Raosoft Sample Size Calculator
that used the Slovin’s Formula (n = N / (1+Ne2), with value of e or margin of error (e=5) and
confidence level of 95% to calculate the appropriate sample size from the total number of Grade
12 students of Canossa Academy Lipa. The value of N is the total number of Grade 12 students in
which (N=286) with a total sample size of 165 respondents to be surveyed. However, due to the
reason that the respondents are limited and some are likely not to respond to the researchers’
survey, only 100 respondents are to be surveyed, 14 students from 5 classes and 15 for the other
two sections.
The survey was accomplished through Likert Scale, where the survey questions were based
on the three research questions mentioned. The researchers used a five (5) point Likert Scale. A
Likert scale assumes that the strength/intensity of an attitude is linear, that is on a continuum that
strongly supports to strongly oppose, and assumes that attitudes can be measured.
The surveys were administered online in the school year 2020-2021 due to the pandemic
and with health safety protocols that still advise interacting online rather than physical interactions.
Google Forms are to be used in the distribution of survey questionnaires. Respondents in the study
included Grade 12 students from Canossa Academy Lipa City, which are the online shopping
consumers. The researchers had the most access to the students from the same grade and school
that made it easier to administer the questionnaires and collect them. The survey was expected to
take respondents approximately 5 minutes to complete. The results of the survey were analyzed to
determine the different online shopping behaviors that teenagers have during this pandemic, the
factors that is linked to such behaviors as well as the future decisions of the teenagers about
shopping online. The researchers analyzed the data through quantitative data analysis.
The researchers used a five (5) point Likert Scale to determine how much they agree or
disagree with the given questions about the factors that influence students to shop online, the online
shopping behaviors, and the future decisions about online shopping. Strongly Agree (5) was set as
the highest point, Neither (3) as the middle point, and Strongly Disagree (1) as the lowest point.
In describing the data, the researchers will also compute for the measure of the central tendencies,
or the mean as well as the standard deviation to help understand the distribution of data.
3.0 Results
The surveys administered was set to answer the research questions. The survey is
distributed to determine the online shopping behaviors of the Grade 12 students from Canossa
Academy Lipa City during the COVID-19 Pandemic. To further understand such behaviors, the
researchers also identified factors that could lead to such behaviors as well as the decisions on
whether the students would continue to shop online after the pandemic, or not.
Of a total of fourteen (14) survey questionnaires distributed, only 100 respondents
completed the questionnaires in which were the basis for computing the results. Fourteen (14)
survey questionnaires are divided into three (3) categories, (1) Factors of Online Shopping, (2)
Consumer Buying Behaviors, and (3) Future Decisions and Preference.
RQ1: What factors influence teenagers from Canossa Academy Lipa City to shop online?
FACTORS
SA
A
N
D
SD TOTAL MEAN
S.D
RANK
CONVENIENCE FACTOR
39
48
10
2
1
100
4.22
3.77
2
TIME SAVING FACTOR
22
38
25
13
2
100
3.65
3.27
5
PAYMENT FACTOR
34
43
19
4
0
100
4.07
3.63
4
PRICE FACTOR
36
42
18
4
0
100
4.1
3.66
3
PRODUCT FACTOR
44
46
6
4
0
100
4.3
3.84
1
Legend: 0-0.99- Strongly Disagree; 1.00-1.99- Disagree; 2.00-2.99- Neither; 3.00- 3.99- Agree; 4.00-5.00- Strongly Agree
Table 1 Factors of Online Shopping
Legend: Dark Orange- Strongly Disagree; Light Orange- Disagree; Lightest Blue- Neither; Light Blue- Agree; Dark BlueStrongly Agree
Chart 1. Factors of Online Shopping
According to the data gathered, four (4) out of five (5) indicators acquired a mean of 4.005.00 with the verbal interpretation strongly agree. The factor that acquired the highest indicator of
4.3 is the product factor. This is their response as to how they find online shopping to be
comfortable because there are reviews and comments about the products before purchasing it, and
that way they can view these reviews to avoid frauds or scams. The last and bottom indicator, time
saving factor acquired a mean of 3.65 with a verbal interpretation of agree. This is the respondents’
response to how they believe that shopping online takes less time to purchase items. Although the
mean is still high and that the verbal interpretation is still agree, this factor has the least number of
respondents agreeing that the factor that drives them to shop online is the time saving factor. Timesaving factor explains that customers need less time to shop in retail stores, fast transaction speed,
without waiting in a long queue that could lead for consumers to just shop online. Shipping of
products may take a long time due to the location of where the seller and the customer is. This can
somehow be a hassle for some consumers, and that can be the reason why they don’t think that the
time saving factor drives them to shop online.
Out of all the factors, it can be said that most consumers consider the Product Factor the
most when shopping online, for it has the highest mean. On the other hand, least consumers think
that they consider the Time Saving Factor when shopping online for it has acquired the lowest
mean out of all the factors.
RQ2: What consumer buying behaviors do teenagers possess when they shop online?
CONSUMER BUYING
SA A
N
D
SD
TOTAL MEAN S.D
RANK
BEHAVIORS
DISSONANCE
BUYING 37
50 11 2
0
100
4.22
3.75 1
BUYING 10
44 27 17 2
100
3.43
3.04 4
BUYING 9
31 34 19 7
100
3.16
2.82 3
37 39 7
100
3.6
3.18 2
BEHAVIOR
HABITUAL
BEHAVIOR
COMPLEX
BEHAVIOR
VARIETY
SEEKING 16
1
BEHAVIOR
Legend: 0-0.99- Strongly Disagree; 1.00-1.99- Disagree; 2.00-2.99- Neither; 3.00- 3.99- Agree; 4.00-5.00- Strongly Agree
Table 2 Consumer Buying Behaviors
Legend: Dark Orange- Strongly Disagree; Light Orange- Disagree; Lightest Blue- Neither; Light Blue- Agree; Dark BlueStrongly Agree
Chart 2. Consumer Buying Behaviors
According to the data gathered from the survey questions about the different kinds of
consumer buying behaviors, there are four (4) indicators pertaining to each buying behavior. Out
of the four indicators, only one (1) acquired the mean 4.00-5.00, which is the dissonance buying
behavior with the mean of 4.22 with the verbal interpretation which is the highest indicator. Most
of the respondents agreed that they find it difficult to choose between brands due to the fear that
they might regret their choice to shop online after the purchase has been made. Complex Buying
Behavior which is the factor that which acquired a mean of 3.16, is the bottom indicator. Only 9%
strongly agreed and 31% agreed that they are extremely active in the transaction with the seller
when they shop online. In Complex Buying Behavior, the buyer interacts a lot with the seller, in
checking the products, or asking for the status of the delivery of the product.
Between the four (4) Buying Behaviors, most respondents have the Dissonance Buying
Behavior in Shopping Online with it acquiring the highest mean of 4.22. On the other hand, least
respondents have Complex Buying Behavior when shopping online, being the bottom indicator
acquiring the mean of 3.16.
RQ3: Will teenagers from Canossa Academy Lipa City continue to buy online once the
pandemic stops?
FUTURE DECISIONS /
SA
A
N
D
SD
TOTAL MEAN
S.D
RANK
44
40
11
3
2
100
4.21
3.78
1
23
33
24
15
5
100
3.54
3.21
3
30
46
17
6
1
100
3.98
3.56
2
3
6
21
44
27
100
2.17
1.86
4
PREFERENCE
PREFER TO SHOP
ONLINE DURING
PANDEMIC
ONLINE SHOPPING
THAN
PHYSICAL SHOPPING
WILL CONTINUE TO
SHOP
WILL NOT CONTINUE
TO SHOP
Legend: 0-0.99- Strongly Disagree; 1.00-1.99- Disagree; 2.00-2.99- Neither; 3.00- 3.99- Agree; 4.00-5.00- Strongly Agree
Table 3 Future Decisions and Preference
Legend: Dark Orange- Strongly Disagree; Light Orange- Disagree; Lightest Blue- Neither; Light Blue- Agree; Dark BlueStrongly Agree
Chart 3. Future Decisions and Preferences
The Table 3 and Chart 3 shows the data gathered about the future decisions and the
preference of the Grade 12 respondents about online shopping. This research question was to
determine whether they will continue to shop online once the pandemic stops, or not. The question
about their preference shop online during this pandemic is the top indicator acquiring the mean
4.21. The question about whether they prefer online shopping than physical shopping acquired the
mean of 3.54.
Between the two (2) indicators, regarding the future decisions to shop online once the
pandemic stops, those who responded that they will continue to shop acquired a higher mean of
3.98. On the other hand, those who responded that they will not continue to shop online once the
pandemic stops only acquired a mean of 2.17. This means that more of those respondents see
themselves to still shop online by the time that we are free to shop in physical stores.
4.0 Discussion
This section of the study discusses the 14 survey questions emphasizing the importance of
understanding the identified factors that may relate to such behaviors, as well as the teenagers'
decisions about whether or not to continue shopping online after the pandemic. The study will
explore and determine how these factors influence teenagers’ online shopping behaviors. The
questionnaire survey consists of 14 questions and each question were divided into three (3)
categories, (1) Factors of Online Shopping, (2) Consumer Buying Behaviors, and (3) Future
Decisions and Preference.
In terms of making an order online, it is important that consumers evaluate the range of
factors, including the product factor, price factor, convenience factor, payment factor, or
psychological factor, which are the most important factors that are most likely to be viewed by the
consumers to make the final purchase. The main reason for shopping online is its time saving and
the availability of a wide range of items. All five of such factors persuade a consumer to make a
purchase through the Internet. It is seen on the data gathered that all of the factors are somewhat
considered by most consumers. However, majority of respondents considered the product factor
when buying online since they find online shopping convenient and there are ratings and feedbacks
about the specific product before making the final transaction, and this allows them to prevent
frauds or scams. This supports Mashao and Sukdeo (2018), that most costumers buy goods by
looking at the product thoroughly and its characteristics before purchasing. On the other hand, few
respondents considered the time-saving or convenience factor when buying online even though
this factor is said to be the primary reason that online shopping is a huge help to people’s lives
because it saves them time throughout the day, according to Reile (2021). The downside of the
convenience factor is the delivery of the items, as it takes a long time to arrive, which makes it
inconvenient to some customers.
The number of people who choose to shop online rises, it becomes easier to identify
different online shopping behaviors of consumers. When a customer shops online, these behaviors
develop. Consumers' buying behavior is divided around two (2) axes, according to Kotler and
Armstrong (2014): (1) High Involvement Purchases which has two (2) types of behavior, (1)
Complex Buying Behavior, and (2) Dissonance- Reducing Buying Behavior, and on the other
hand, (2) Low Involvement Purchases which also has two (2) types of behavior, (1) Habitual
Buying Behavior, and (2) Variety-Seeking Buying Behavior. These four main consumers buying
behaviors engage consumers nowadays and these kinds of behaviors vary from one consumer to
another. From the data gathered in Table 2, it is shown that most respondents have the Dissonance
Buying Behavior in Online Shopping as they find it difficult to choose between brands due to the
fear that they might regret their choice to shop online after the purchase has been made and also
could be because what we see online, may not be what it looks like in real life. It is said that
consumers who have this behavior responds primarily to the purchase of convenience. After
purchase, consumer may experience post-purchase dissonance or the after sales discomfort, by
finding some drawbacks of the purchased products or hearing favorable details about unpurchased
products. Along with that, least of the respondents have Complex Buying Behavior when
shopping online because they are extremely active in the transaction with the seller when shopping;
checking the products, or asking for the status of delivery of the product. This may because of the
reason that most stores ever since the pandemic closed and consumers’ fear of catching the
coronavirus in public. With the stay-at-home orders in every place around the world, a large change
in consumers purchasing has been highly observable. Everything from food to clothes to purchase
of household goods online is likely. While shopping patterns are complicated, and demand for
those items changed as a result of the pandemic, the failure to shop in person, combined with the
large number of households with internet connectivity, would mean a substantial influence.
From the data gathered in Table 3, it shows the future decisions and preference of the
respondents about online shopping, and was set to determine whether they will continue to shop
online once the pandemic stops, or not. Online shopping undoubtedly has drawbacks, and some
respondents may dislike them, causing them to choose physical shopping over online shopping.
When it comes to shopping, everyone has different preferences. Between the two (2) indicators,
regarding the future decisions to shop online once the pandemic stops, there are more respondents
who answered that they will continue to shop even when the pandemic stops and on the other hand,
there are less who responded that they will not continue to shop online. This shows that a greater
proportion of the respondents expect to continue shopping online by the time we are able to buy
in physical shops. This may be due to the fact that they are used to shopping online and that it has
become a part of their everyday lives. Their decision to shop online may be because of the different
factors that drives a consumer to shop online, as seen on Table 1. Nonetheless, other respondents
preferred that they will not buy online until the pandemic is over because they no longer see the
need to do so and would continue to shop in physical stores.
5.0 Conclusion
Online Shopping has always been prevalent in any country, especially in the Philippines.
The rate of the consumers who shifted to shop online has increased as consumers depend on the
digital environment more than companies who operate through physical shops. Consumers tend to
have different online shopping behaviors and most of them have Dissonance Buying Behavior
based on the data gathered from the respondents from Grade 12 of Canossa Academy Lipa.
According to the respondents, the product factor is most likely to be the reason why they shop
online as there are reviews and comments about the products before purchasing it, and that way
they can view these reviews to avoid frauds or scams. This feature of online shopping seems to be
most important for consumers when they choose to purchase products online. Consumers are also
most likely to continue to shop online even when the pandemic has stopped as they find online
shopping to be convenient and dependable for purchasing products that they wish to buy, in such
a convenient and easy way.
The researcher did note that the study is only limited to Grade 12 students from Canossa
Academy Lipa City. This is because these are teenagers who potentially engage themselves into
shopping online and getting them as the respondents of this study is the most convenient for the
researchers, for they attend the same school and it is convenient to conduct a study with the Grade
12 students as their respondents. Further studies may include a larger group of respondents in the
study and get a substantial amount of sample in a larger sample size. The researchers were not able
to include many respondents as there are COVID-19 Protocols that hinders them from reaching a
wider group of respondents. Even though there is a sufficient number of respondents, the
researchers believe that the research would be more effective with more substance from a larger
group of respondents. It would be ideal if other shopping behaviors would be identified and studied
by the future researchers for the readers to be provided with additional knowledge with shopping
behaviors that the researchers were not able to identify.
APPENDIX A. Results per Survey Question
APPENDIX B. Survey Questions
RESEARCH PROJECT
Sample Surveys
Name:
Year & Section:
Good day! We are Shanen Barbie Mortega and Adrienne Erika Manaig of St. Padre Pio. We are
conducting a study regarding the Online Shopping Behaviors among Teenagers, specifically Grade 12
Students from Canossa Academy Lipa City. We would really hope to know your own perception about
Online Shopping and the behaviors that teenagers have when shopping online through your responses for
it will help us a lot and will be beneficial in the results and accomplishment of this paper.
This questionnaire will approximately take 5 minutes to complete. If you have any questions or
concerns regarding the questions below, you may approach the researchers for clarification. We’ll make
sure that the answers gathered from this study will be treated with utmost confidentiality, and would be
used for research purposes only. We really appreciate you for letting us know your thoughts and opinions
about this topic. Thank you.
A. Rate how much you personally agree or disagree with the given statements. Put a check (√)
on the corresponding box and use the following scale.
Strongly Agree -5
Agree - 4
Neither – 3
5
1. I shop online because it is more
convenient that you can shop 24/7
at any day.
2. I find it difficult to choose
between brands due to the fear
that I might regret my choice after
the purchase has been made.
3. I believe that shopping online
takes less time to purchase items.
4. I shop online because online
shopping has simple and
convenient online payment
method.
5. I rarely involve myself in the
transaction but I purchase online
frequently.
6. I am extremely active in the
transaction with the seller
whenever I shop online.
Disagree – 2
4
Strongly Disagree - 1
3
2
1
7. I think that online shopping offers
variety of products at more
suitable and rational price.
8. I can shop online comfortably
because there are reviews and
comments about the products
before purchasing it that one can
view to avoid fraud or scams.
9. I shop online whenever I am
bored.
10. I frequently shift between brands
to purchase
11. I prefer to shop online in these
times of pandemic.
12. If I were to choose, I would shop
online rather than physical
shopping because it is safer and
time saving.
13. I will continue to shop online
even when the pandemic stops.
14. I will not shop online once the
pandemic stops.
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