University Research: Flight Ticket Clustering During Holidays
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This research report investigates the issue of flight ticket clustering, a significant problem in the online flight booking industry, particularly during holidays and festive seasons. The study examines the impact of increased internet penetration and mobile app usage on ticket bookings, leading to websi...

Running head: INDUSTRIAL RESEARCH
Industrial research
Name of the student:
Name of the university:
Author note:
Industrial research
Name of the student:
Name of the university:
Author note:
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1INDUSTRIAL RESEARCH
Executive summary
The rise in the penetration of internet services in almost every arena of human life is a rather
interesting development that must be noted. There is ideally not even a single sector that has
been untouched by these developments. Similarly, the industry of flight ticket booking is one
that has benefitted greatly from these advancements, as it has made it easier for the people to
book tickets from the comfort of their home, that too at attractive prices by availing great
discounts. These bookings tend to increase mostly at the time of the holidays and the festive
seasons, which often leads to a slowing down of the websites, often leading to the crash of
the servers. This issue of flight ticket clustering is a major problem that needs to be
addressed, as it has been often observed that the customers get annoyed and irritated and shift
to other alternative websites to book the tickets, thereby leading to the loss of business for the
company.
The research that has been conducted to address this research problem utilizes both the
qualitative and quantitative methods. A thorough review of existing literature on the subject
matter has been conducted, along with a survey that has provided the primary data for the
quantitative analysis. The triangulation of both the methods and data obtained gives rise to
the same result – an increasingly large group of people use online ticket bookings for
reserving their flight tickets, but an equally large number of people face issues when trying to
book tickets during the holidays or festive seasons. These issues can be managed by
employing a content delivery network, which is essentially a cloud-based service, in addition
to ensuring that there are no data caps in the industry partner’s servers. However, the CDNs
can often be expensive, as they cost additional money, and require extra care and
maintenance.
Executive summary
The rise in the penetration of internet services in almost every arena of human life is a rather
interesting development that must be noted. There is ideally not even a single sector that has
been untouched by these developments. Similarly, the industry of flight ticket booking is one
that has benefitted greatly from these advancements, as it has made it easier for the people to
book tickets from the comfort of their home, that too at attractive prices by availing great
discounts. These bookings tend to increase mostly at the time of the holidays and the festive
seasons, which often leads to a slowing down of the websites, often leading to the crash of
the servers. This issue of flight ticket clustering is a major problem that needs to be
addressed, as it has been often observed that the customers get annoyed and irritated and shift
to other alternative websites to book the tickets, thereby leading to the loss of business for the
company.
The research that has been conducted to address this research problem utilizes both the
qualitative and quantitative methods. A thorough review of existing literature on the subject
matter has been conducted, along with a survey that has provided the primary data for the
quantitative analysis. The triangulation of both the methods and data obtained gives rise to
the same result – an increasingly large group of people use online ticket bookings for
reserving their flight tickets, but an equally large number of people face issues when trying to
book tickets during the holidays or festive seasons. These issues can be managed by
employing a content delivery network, which is essentially a cloud-based service, in addition
to ensuring that there are no data caps in the industry partner’s servers. However, the CDNs
can often be expensive, as they cost additional money, and require extra care and
maintenance.

2INDUSTRIAL RESEARCH
Table of Contents
1.0 Introduction and research problem......................................................................................3
1.1 Overview of industry partner...............................................................................................3
1.2 Research problem.................................................................................................................3
1.3 Overall research aim............................................................................................................3
1.4 Structure of the report..........................................................................................................3
2.0 Theoretical background: Literature review..........................................................................4
2.1 Factors of demand and competition in flight ticketing........................................................4
2.2 Consumer choice behavior...................................................................................................5
2.3 Consumer choice and behavior in the airline industry.........................................................6
2.4 Knowledge gap....................................................................................................................7
2.5 Conceptual map...................................................................................................................8
3.0 Methodology........................................................................................................................8
3.1 Overview of research design................................................................................................8
3.2 Ethical concerns...................................................................................................................9
4.0 Findings................................................................................................................................9
5.0 Discussion..........................................................................................................................19
6.0 Recommendations..............................................................................................................21
7.0 Limitations and conclusions...............................................................................................23
7.1 Limitations of the recommendations.................................................................................23
7.2 Brief summary of the project.............................................................................................23
Reference List..........................................................................................................................25
Bibliography............................................................................................................................27
Table of Contents
1.0 Introduction and research problem......................................................................................3
1.1 Overview of industry partner...............................................................................................3
1.2 Research problem.................................................................................................................3
1.3 Overall research aim............................................................................................................3
1.4 Structure of the report..........................................................................................................3
2.0 Theoretical background: Literature review..........................................................................4
2.1 Factors of demand and competition in flight ticketing........................................................4
2.2 Consumer choice behavior...................................................................................................5
2.3 Consumer choice and behavior in the airline industry.........................................................6
2.4 Knowledge gap....................................................................................................................7
2.5 Conceptual map...................................................................................................................8
3.0 Methodology........................................................................................................................8
3.1 Overview of research design................................................................................................8
3.2 Ethical concerns...................................................................................................................9
4.0 Findings................................................................................................................................9
5.0 Discussion..........................................................................................................................19
6.0 Recommendations..............................................................................................................21
7.0 Limitations and conclusions...............................................................................................23
7.1 Limitations of the recommendations.................................................................................23
7.2 Brief summary of the project.............................................................................................23
Reference List..........................................................................................................................25
Bibliography............................................................................................................................27

3INDUSTRIAL RESEARCH
1.0 Introduction and research problem
1.1 Overview of industry partner
The marketing sector of online flight ticket is the name of the industry which is being
discussed over here. The industrial growth is directly proportional to the rise in the usage of
the internet services, as well as the enormous penetration of the available apps of mobile
because of the rise in smartphone uses (Ruiz-Mafe, Sanz-Blas and Aldas-Manzano, 2009).
The majority of the customer are willing to pay the usage charges for online flight ticket
booking, basically for avoiding nuisance to stand out in the long queues which are mandatory
during the time of manual bookings. The partner of the industry in enquiry has an ongoing
profitable business which is concerned with the booking of flight ticket for the destination of
the most important tourist around the world. Nevertheless, it faces the problem of clustering
of flight ticket at the time of holiday and festive seasons due to the high chances of crashing
of the website as there are a high volumes of traffic.
1.2 Research problem
The occasions of festival are referred to those time period of the year when most of
the people are willing to go on a travelling trip. This is cause of the abnormal rise in the
number of choices which are mainly available for their customers in terms of booking of
flight, availability, offers and prices. The profitability that is associated with the tickets
booking conquers excessive significant during these period of time. When the demand rises,
it leads to a gathering together of the customer, which eventually leads to a very high time
spent on the process of tickets booking. This more often leads to a particular company to be
apparent as being unproductive, because of this many consumers may often shift to the better
alternatives. In the future, this may lead to the loss in the business.
1.3 Overall research aim
This research aims to identify the problems which are associated with the gathering of
tickets when the time come of the booking of airline tickets. The holidays and festive seasons
are the peak season of this tickets booking.
1.4 Structure of the report
The resulting report will present forth a literature review that are comprehensive
which are going to identify the impending factors which leads to the gathering of tickets
during the booking of the flight especially at the time of festive and holiday seasons. The
research questions which are specified are mainly based on the nature of literature which has
been reviewed further and which is aiming at talking about the identified knowledge gap.
1.0 Introduction and research problem
1.1 Overview of industry partner
The marketing sector of online flight ticket is the name of the industry which is being
discussed over here. The industrial growth is directly proportional to the rise in the usage of
the internet services, as well as the enormous penetration of the available apps of mobile
because of the rise in smartphone uses (Ruiz-Mafe, Sanz-Blas and Aldas-Manzano, 2009).
The majority of the customer are willing to pay the usage charges for online flight ticket
booking, basically for avoiding nuisance to stand out in the long queues which are mandatory
during the time of manual bookings. The partner of the industry in enquiry has an ongoing
profitable business which is concerned with the booking of flight ticket for the destination of
the most important tourist around the world. Nevertheless, it faces the problem of clustering
of flight ticket at the time of holiday and festive seasons due to the high chances of crashing
of the website as there are a high volumes of traffic.
1.2 Research problem
The occasions of festival are referred to those time period of the year when most of
the people are willing to go on a travelling trip. This is cause of the abnormal rise in the
number of choices which are mainly available for their customers in terms of booking of
flight, availability, offers and prices. The profitability that is associated with the tickets
booking conquers excessive significant during these period of time. When the demand rises,
it leads to a gathering together of the customer, which eventually leads to a very high time
spent on the process of tickets booking. This more often leads to a particular company to be
apparent as being unproductive, because of this many consumers may often shift to the better
alternatives. In the future, this may lead to the loss in the business.
1.3 Overall research aim
This research aims to identify the problems which are associated with the gathering of
tickets when the time come of the booking of airline tickets. The holidays and festive seasons
are the peak season of this tickets booking.
1.4 Structure of the report
The resulting report will present forth a literature review that are comprehensive
which are going to identify the impending factors which leads to the gathering of tickets
during the booking of the flight especially at the time of festive and holiday seasons. The
research questions which are specified are mainly based on the nature of literature which has
been reviewed further and which is aiming at talking about the identified knowledge gap.
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4INDUSTRIAL RESEARCH
They are also providing conceptual map in order to explain the related factors to this
identified gap and the rest of the report of research. The design of research involved the uses
of method of sampling which will describe the process of analysis while also being addressed
the concerns related to ethics. A widespread analysis of the findings of research is further
being supported by the indication from the formulated review of literature which has been
already provided. The discussion is being triangulated the attained indication, which are
further compared with the literature review, and stated the number of answers to the
questions of the research. The conclusion of the report is by a set of preferable
recommendation as well as their limitations, and a brief summary of all the key findings and
the potential outcomes.
2.0 Theoretical background: Literature review
2.1 Factors of demand and competition in flight ticketing
The competitions among all the organisations increases a lot over the years, as the
rivalry of the world in the markets has been increased uniformly. Their efficiency is needed
over here and they have to look over the newer ways in order to capture the opportunities of
the market to meet up with the manageable needs and the possible requirements of their
respective customers. In fact, an amalgamation of good quality and low prices is no longer
being considered a better enough mixture to attract the right customers at the right time
(Brueckner, et al., 2015; Park and Pan, 2018). The choice of the behavior can be said to be
exaggerated in sudden ways which has concerned the consumer’s preference in terms of
various services or products, and more often it helps the company to collect all the relevant
data which is necessary in order to learn about this preferences of the consumer in a single
attempt for the customization of their approach to the sale category. A mass of choices need
to be made more available to their customer at a level of generic, as well as this will help in
the maximization of their chances of convincing their decisions in their own favor. For
example, most of the companies of airline having a range of different fares for the peoples,
providing several kinds of facilities that are available for their passengers. They must be
understandable about the range of choices which the consumers would look to carry out, and
respect all the decisions of each and every customers. This is rather useful in case of reducing
the cluster of demand (Brueckner, et al., 2015; Park and Pan, 2018), and also for the creation
of value for them.
The channel’s diversity increases along with the available options for media of
information as well as the other several organisations that have made it a lot difficult for the
They are also providing conceptual map in order to explain the related factors to this
identified gap and the rest of the report of research. The design of research involved the uses
of method of sampling which will describe the process of analysis while also being addressed
the concerns related to ethics. A widespread analysis of the findings of research is further
being supported by the indication from the formulated review of literature which has been
already provided. The discussion is being triangulated the attained indication, which are
further compared with the literature review, and stated the number of answers to the
questions of the research. The conclusion of the report is by a set of preferable
recommendation as well as their limitations, and a brief summary of all the key findings and
the potential outcomes.
2.0 Theoretical background: Literature review
2.1 Factors of demand and competition in flight ticketing
The competitions among all the organisations increases a lot over the years, as the
rivalry of the world in the markets has been increased uniformly. Their efficiency is needed
over here and they have to look over the newer ways in order to capture the opportunities of
the market to meet up with the manageable needs and the possible requirements of their
respective customers. In fact, an amalgamation of good quality and low prices is no longer
being considered a better enough mixture to attract the right customers at the right time
(Brueckner, et al., 2015; Park and Pan, 2018). The choice of the behavior can be said to be
exaggerated in sudden ways which has concerned the consumer’s preference in terms of
various services or products, and more often it helps the company to collect all the relevant
data which is necessary in order to learn about this preferences of the consumer in a single
attempt for the customization of their approach to the sale category. A mass of choices need
to be made more available to their customer at a level of generic, as well as this will help in
the maximization of their chances of convincing their decisions in their own favor. For
example, most of the companies of airline having a range of different fares for the peoples,
providing several kinds of facilities that are available for their passengers. They must be
understandable about the range of choices which the consumers would look to carry out, and
respect all the decisions of each and every customers. This is rather useful in case of reducing
the cluster of demand (Brueckner, et al., 2015; Park and Pan, 2018), and also for the creation
of value for them.
The channel’s diversity increases along with the available options for media of
information as well as the other several organisations that have made it a lot difficult for the

5INDUSTRIAL RESEARCH
understanding of how consumers will going to choose their own products. This also gives the
direction of the way in which the buyers is going to choose their own products, and gives an
outline of an idea of their choices of the future. Thus enterprises needs for the understanding
of the way in which the buyers make their decisions as well as the prediction of these
inclinations is crucial to these organisations especially at the time of introducing the newer
products as well as setting the marketing target. The estimation for the preferences can be
arranged a lot more extensively and easily in order to help in the optimization of the
decisions. This has borrowed a noteworthy amount of prominence to the human choices and
decisions, especially for those who help in understanding the reasons that lead to the
available choices. The behaviors that are related to the choices made are predominantly
difficult, even though they can also be said to be rational as well. The decision makers also
struggles in order to simplify the preparation of the whole process. These choices of
mechanisms are the initial basis upon which the preferences is measured by the enterprises as
well as predict their own decisions (Zhang et al., 2016; Wong and Wei, 2018).
2.2 Consumer choice behavior
In things wherever shoppers have the choice of the many alternatives in terms of
merchandise, services or brands, they tend to create decisions that square measure
satisfactory to them in their given circumstances (Bergantino and Capozza, 2015). The idea
of knowledge integration are often aforesaid to be a supplier of mechanisms yet as specific
ways that during which folks will disintegrate the various parts of the knowledge as per the
involved preferences. It additionally states that as per the given things, the shoppers
sometimes compare the on the market choices among the market and weigh the execs and
cons against one another, associate attribute which frequently guides their entire decision-
making method. This can be a rather in depth and holistic approach to decision-making, that
is feasible solely by the mixing of shopper values along with the boundaries set forth by
specific rules. Promoting managers typically have to be compelled to rigorously observe the
decision-making processes beside those things wherever the shoppers may find yourself
collating the much-needed data and kind beliefs among themselves. These typically outline
the manner during which they supply the merchandise or service reviews. These reviews
typically facilitate the businesses confirm the standards per that the merchandise or services
may well be developed so as to satisfy the shoppers.
The other issue that has to be thought of whereas analyzing the patron selection
behavior is that of distinguishing if there's a scientific approach to their decisions and
understanding of how consumers will going to choose their own products. This also gives the
direction of the way in which the buyers is going to choose their own products, and gives an
outline of an idea of their choices of the future. Thus enterprises needs for the understanding
of the way in which the buyers make their decisions as well as the prediction of these
inclinations is crucial to these organisations especially at the time of introducing the newer
products as well as setting the marketing target. The estimation for the preferences can be
arranged a lot more extensively and easily in order to help in the optimization of the
decisions. This has borrowed a noteworthy amount of prominence to the human choices and
decisions, especially for those who help in understanding the reasons that lead to the
available choices. The behaviors that are related to the choices made are predominantly
difficult, even though they can also be said to be rational as well. The decision makers also
struggles in order to simplify the preparation of the whole process. These choices of
mechanisms are the initial basis upon which the preferences is measured by the enterprises as
well as predict their own decisions (Zhang et al., 2016; Wong and Wei, 2018).
2.2 Consumer choice behavior
In things wherever shoppers have the choice of the many alternatives in terms of
merchandise, services or brands, they tend to create decisions that square measure
satisfactory to them in their given circumstances (Bergantino and Capozza, 2015). The idea
of knowledge integration are often aforesaid to be a supplier of mechanisms yet as specific
ways that during which folks will disintegrate the various parts of the knowledge as per the
involved preferences. It additionally states that as per the given things, the shoppers
sometimes compare the on the market choices among the market and weigh the execs and
cons against one another, associate attribute which frequently guides their entire decision-
making method. This can be a rather in depth and holistic approach to decision-making, that
is feasible solely by the mixing of shopper values along with the boundaries set forth by
specific rules. Promoting managers typically have to be compelled to rigorously observe the
decision-making processes beside those things wherever the shoppers may find yourself
collating the much-needed data and kind beliefs among themselves. These typically outline
the manner during which they supply the merchandise or service reviews. These reviews
typically facilitate the businesses confirm the standards per that the merchandise or services
may well be developed so as to satisfy the shoppers.
The other issue that has to be thought of whereas analyzing the patron selection
behavior is that of distinguishing if there's a scientific approach to their decisions and

6INDUSTRIAL RESEARCH
selections. Each the identification still because the understanding of those decisions area unit
vital to the event and formulation of selling ways that might be effective in any given state of
affairs. Shopper selection behaviors are sometimes conceptualized as being a mixture that
includes specific socio-demographics beside attributes that area unit involved with the
alternatives. Factors like perspective, knowledge and utility area unit usually enforced for
understanding and mapping the attitudes that area unit relevant to the selection behavior.
2.3 Consumer choice and behavior in the airline industry
The volatility of the fuel prices, coupled together with the economic challenges of
environmental sustainability and other concerns, have pressurized the airline industry.
Furthermore, the increase in the awareness regarding the level of competition has also
increased, and this can be further attributed to the availability of alternatives in transportation.
Most airline service providers are dependent on them, and their customers are highly valuable
to them, as they build their competitive advantage and help to understand the market
demands as well. Thus, the relationship that these companies have with their customers is of
utmost importance to them, as if affects its ability to make profits directly, in the long run
(Tamaki, 2018; Liu, at al., 2018). Keeping the passengers engaged and interested is one of the
most important objectives that need to be considered by these airline companies if they wish
to maximize the consumer loyalty and make profits as well. Adequate performance of these
airlines with regard to the expectations of these customers also helps determine the profits
they would make, as such initiatives have the power to affect the consumer choices directly.
These are among the most key drivers in the business for such companies, and airline
companies have to estimate those trends in addition to taking risks for understanding the
effect that these actions could have on the demand clustering (Tamaki, 2018; Liu, at al.,
2018).
Understanding the changing requirements and demands of the consumers is of great
importance to the consumers, but the entire system of decision-making by them is yet to gain
considerable significance. Thus, a more elaborate understanding of the process with regard to
this aspect is of major importance to the airline companies, since it would help to improve the
business models and the methods of operation. The increase in the number of choices
pertaining to travel, together with the diverse demographics, decision-making patterns and
cultural backgrounds – among various other factors – have also increased the clustering,
thereby posing a challenge to these ticketing companies when it comes to understanding all of
selections. Each the identification still because the understanding of those decisions area unit
vital to the event and formulation of selling ways that might be effective in any given state of
affairs. Shopper selection behaviors are sometimes conceptualized as being a mixture that
includes specific socio-demographics beside attributes that area unit involved with the
alternatives. Factors like perspective, knowledge and utility area unit usually enforced for
understanding and mapping the attitudes that area unit relevant to the selection behavior.
2.3 Consumer choice and behavior in the airline industry
The volatility of the fuel prices, coupled together with the economic challenges of
environmental sustainability and other concerns, have pressurized the airline industry.
Furthermore, the increase in the awareness regarding the level of competition has also
increased, and this can be further attributed to the availability of alternatives in transportation.
Most airline service providers are dependent on them, and their customers are highly valuable
to them, as they build their competitive advantage and help to understand the market
demands as well. Thus, the relationship that these companies have with their customers is of
utmost importance to them, as if affects its ability to make profits directly, in the long run
(Tamaki, 2018; Liu, at al., 2018). Keeping the passengers engaged and interested is one of the
most important objectives that need to be considered by these airline companies if they wish
to maximize the consumer loyalty and make profits as well. Adequate performance of these
airlines with regard to the expectations of these customers also helps determine the profits
they would make, as such initiatives have the power to affect the consumer choices directly.
These are among the most key drivers in the business for such companies, and airline
companies have to estimate those trends in addition to taking risks for understanding the
effect that these actions could have on the demand clustering (Tamaki, 2018; Liu, at al.,
2018).
Understanding the changing requirements and demands of the consumers is of great
importance to the consumers, but the entire system of decision-making by them is yet to gain
considerable significance. Thus, a more elaborate understanding of the process with regard to
this aspect is of major importance to the airline companies, since it would help to improve the
business models and the methods of operation. The increase in the number of choices
pertaining to travel, together with the diverse demographics, decision-making patterns and
cultural backgrounds – among various other factors – have also increased the clustering,
thereby posing a challenge to these ticketing companies when it comes to understanding all of
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7INDUSTRIAL RESEARCH
the underlying reasons. The roles that each of these factors have often define the manner of
operation of the airlines.
2.4 Knowledge gap
A list of important and crucial factors has been reported by the above review of
literature, such as the understanding and measuring of the mentioned factors which are
crucial for the consumer’s acquisition and manipulating their process of decision making as
far as their concerned purchases. Furthermore, there is an apparent gap in this literature which
studies the demand of the consumer crowding at the time of procuring tickets that would
preferably take them to the destination which is same, and the ensuring opportunities loss
together with the influence of customer service.
Particularly, this study is aiming at addressing these knowledge gap with the help of
developing a specific framework that is vastly incorporated in nature, and would like to help
in the measurement and understanding the selected behavior of the consumer along with the
elements which will affect them. These elements are often very essential in order to decide
the way in which the buyers can be retained or acquired, and it also help in gaining
perception into the manner in which all these decisions are completely undertaken. Thus, it is
helping to come to a final decision about a solution that would preferably reduce the
gathering of the tickets of flight for the holiday destinations which is slightly popular,
especially during the time of vacations and holidays.
the underlying reasons. The roles that each of these factors have often define the manner of
operation of the airlines.
2.4 Knowledge gap
A list of important and crucial factors has been reported by the above review of
literature, such as the understanding and measuring of the mentioned factors which are
crucial for the consumer’s acquisition and manipulating their process of decision making as
far as their concerned purchases. Furthermore, there is an apparent gap in this literature which
studies the demand of the consumer crowding at the time of procuring tickets that would
preferably take them to the destination which is same, and the ensuring opportunities loss
together with the influence of customer service.
Particularly, this study is aiming at addressing these knowledge gap with the help of
developing a specific framework that is vastly incorporated in nature, and would like to help
in the measurement and understanding the selected behavior of the consumer along with the
elements which will affect them. These elements are often very essential in order to decide
the way in which the buyers can be retained or acquired, and it also help in gaining
perception into the manner in which all these decisions are completely undertaken. Thus, it is
helping to come to a final decision about a solution that would preferably reduce the
gathering of the tickets of flight for the holiday destinations which is slightly popular,
especially during the time of vacations and holidays.

8INDUSTRIAL RESEARCH
2.5 Conceptual map
Respecting the context of the gap of knowledge and focus of the study as per the
review of literature is being concerned, the below conceptual map can be framed, which
consists of dependent and independent factors: -
Figure 1.1 - Conceptual Map
The questions of research which can be articulated in relation with the review of literature
are stated as below –
a) Mention the reason behind gathering of the tickets influencing the choices behavior of
the consumer.
b) How can we remove the problem of gathering of tickets at the time of festivals so that
the overwhelming customers can adore faster booking of tickets?
3.0 Methodology
3.1 Overview of research design
This specific research has hired a method of mixed research that means both
quantitative and qualitative data which has been utilized in order to find the results of the full
Personal characteristics
of consumer
Characteristics of
consumer behavior
Characteristics of
consumer preference
Process of consumer purchase
Problem of research
Methodology
Conclusions
Hypotheses/Question of research
Goals
2.5 Conceptual map
Respecting the context of the gap of knowledge and focus of the study as per the
review of literature is being concerned, the below conceptual map can be framed, which
consists of dependent and independent factors: -
Figure 1.1 - Conceptual Map
The questions of research which can be articulated in relation with the review of literature
are stated as below –
a) Mention the reason behind gathering of the tickets influencing the choices behavior of
the consumer.
b) How can we remove the problem of gathering of tickets at the time of festivals so that
the overwhelming customers can adore faster booking of tickets?
3.0 Methodology
3.1 Overview of research design
This specific research has hired a method of mixed research that means both
quantitative and qualitative data which has been utilized in order to find the results of the full
Personal characteristics
of consumer
Characteristics of
consumer behavior
Characteristics of
consumer preference
Process of consumer purchase
Problem of research
Methodology
Conclusions
Hypotheses/Question of research
Goals

9INDUSTRIAL RESEARCH
process of research (Tashakkori and Teddlie, 2010). 120 people’s sample sizes was used here
in order to acquire the solutions to the questions of the research that will deduct from the
reviewed literature. A few multiple choice based questions while for others the format of
Likert scale that has been utilized. A sampling method of non-profitability nature has been
used in order to source the data, and this was done for ensuring that all the passengers who
were relatively harmful in their own outlook could also be persuaded for sharing their
opinions (Etikan, Musa and Alkassim, 2016). The method of survey has been employed for
the collection of the relevant data as well as the method percentage has been utilized for
deriving the result.
3.2 Ethical concerns
There are three key ethical concerns that are significant for any purposes of research –
beneficence, anonymity and informed consent (Oliver, 2010). All these participants had been
accordingly conversant about the purpose of the research that confirmed the awareness of the
reason of them for surveying, and thus, there was a presence of full consent from their end
too. The required questions were also framed so as to make it easier for them in order to
answer in a good manner, deprived of making them feel harmed or insulted. There were no
such signs of any cacophony among the given population at the time of the survey as well as
they had appeared to be relaxed with the already given 10 questions set. Additionally, there
privacy is also kept respectable because it is significant fore any of the researcher in order to
maintain the participant’s confidentiality for validating the ethical concerns of the complete
process (Wiles, et al., 2008).
4.0 Findings
The sample population belonged mostly to the middle-income group, and consisted of
75 women and 45 men. They were within the age group of 30 to 55. Below are the results
that had been deduced –
Question 1: How frequently do you use ticket of airline purchasing online?
Options Response Frequency Response Percentage Total Respondents
Extremely often 65 54% 120
Quite often 23 19.17% 120
Moderately often 18 15% 120
process of research (Tashakkori and Teddlie, 2010). 120 people’s sample sizes was used here
in order to acquire the solutions to the questions of the research that will deduct from the
reviewed literature. A few multiple choice based questions while for others the format of
Likert scale that has been utilized. A sampling method of non-profitability nature has been
used in order to source the data, and this was done for ensuring that all the passengers who
were relatively harmful in their own outlook could also be persuaded for sharing their
opinions (Etikan, Musa and Alkassim, 2016). The method of survey has been employed for
the collection of the relevant data as well as the method percentage has been utilized for
deriving the result.
3.2 Ethical concerns
There are three key ethical concerns that are significant for any purposes of research –
beneficence, anonymity and informed consent (Oliver, 2010). All these participants had been
accordingly conversant about the purpose of the research that confirmed the awareness of the
reason of them for surveying, and thus, there was a presence of full consent from their end
too. The required questions were also framed so as to make it easier for them in order to
answer in a good manner, deprived of making them feel harmed or insulted. There were no
such signs of any cacophony among the given population at the time of the survey as well as
they had appeared to be relaxed with the already given 10 questions set. Additionally, there
privacy is also kept respectable because it is significant fore any of the researcher in order to
maintain the participant’s confidentiality for validating the ethical concerns of the complete
process (Wiles, et al., 2008).
4.0 Findings
The sample population belonged mostly to the middle-income group, and consisted of
75 women and 45 men. They were within the age group of 30 to 55. Below are the results
that had been deduced –
Question 1: How frequently do you use ticket of airline purchasing online?
Options Response Frequency Response Percentage Total Respondents
Extremely often 65 54% 120
Quite often 23 19.17% 120
Moderately often 18 15% 120
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10INDUSTRIAL RESEARCH
Slightly often 14 11.66% 120
Table 1: Purchasing Online Tickets
Extremely often Quite often Moderately often Slightly often
54%
19% 15% 12%
Purchasing Online Tickets
Response Percentage
The above responses indicate that a majority of the people are used to booking flight
tickets through online systems. Out of the 120 people sampled, 54.17% of them prefer to use
online booking mode.
Question 2: Which destinations do you often travel?
Options Response Frequency Response Percentage Total Respondents
Istanbul 21 17.5% 120
Prague 12 10% 120
London 17 14.17% 120
Rome 18 15% 120
Paris 52 43.33% 120
Table 2: Popular Tourist Destinations
Slightly often 14 11.66% 120
Table 1: Purchasing Online Tickets
Extremely often Quite often Moderately often Slightly often
54%
19% 15% 12%
Purchasing Online Tickets
Response Percentage
The above responses indicate that a majority of the people are used to booking flight
tickets through online systems. Out of the 120 people sampled, 54.17% of them prefer to use
online booking mode.
Question 2: Which destinations do you often travel?
Options Response Frequency Response Percentage Total Respondents
Istanbul 21 17.5% 120
Prague 12 10% 120
London 17 14.17% 120
Rome 18 15% 120
Paris 52 43.33% 120
Table 2: Popular Tourist Destinations

11INDUSTRIAL RESEARCH
Istanbul Prague London Rome Paris
0.00%
12.50%
25.00%
37.50%
50.00%
17.50%
10.00%
14.17% 15.00%
43.33%
Popular Tourist Destinations
The response from the sample population indicates that Paris is the most popular
holiday destination, followed by Istanbul and Rome.
Question 3: Which online website of airline-ticketing do you often use?
Options Response Frequency Response Percentage Total Respondents
Budget Air 57 47.5% 120
Cheap Flights 23 19.17% 120
Kayak 18 15% 120
Ixigo 22 18.33% 120
Table 3: Online Airline Ticketing Website
Istanbul Prague London Rome Paris
0.00%
12.50%
25.00%
37.50%
50.00%
17.50%
10.00%
14.17% 15.00%
43.33%
Popular Tourist Destinations
The response from the sample population indicates that Paris is the most popular
holiday destination, followed by Istanbul and Rome.
Question 3: Which online website of airline-ticketing do you often use?
Options Response Frequency Response Percentage Total Respondents
Budget Air 57 47.5% 120
Cheap Flights 23 19.17% 120
Kayak 18 15% 120
Ixigo 22 18.33% 120
Table 3: Online Airline Ticketing Website

12INDUSTRIAL RESEARCH
Budget Air Cheap Flights Kayak Ixigo
0.00%
12.50%
25.00%
37.50%
50.00% 47.50%
19.17%
15.00% 18.33%
Online Airline Ticketing Website
Response Percentage
The responses indicate that a majority (47.5%) of the people book their tickets
through Budget Air. The least preferred option is Kayak, with only 15% of the respondents
preferring it.
Question 4: What are the core reasons that you use for ticket purchasing of airline online?
Options Response Frequency Response Percentage Total Respondents
Price 33 27.5% 120
Convenience 58 48.33% 120
Variety of choices 17 14.17% 120
Online customer services 12 10% 120
Table 4: Reasons behind Booking Online Tickets
Budget Air Cheap Flights Kayak Ixigo
0.00%
12.50%
25.00%
37.50%
50.00% 47.50%
19.17%
15.00% 18.33%
Online Airline Ticketing Website
Response Percentage
The responses indicate that a majority (47.5%) of the people book their tickets
through Budget Air. The least preferred option is Kayak, with only 15% of the respondents
preferring it.
Question 4: What are the core reasons that you use for ticket purchasing of airline online?
Options Response Frequency Response Percentage Total Respondents
Price 33 27.5% 120
Convenience 58 48.33% 120
Variety of choices 17 14.17% 120
Online customer services 12 10% 120
Table 4: Reasons behind Booking Online Tickets
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13INDUSTRIAL RESEARCH
Price Convenience Variety of choices Online customer
services
0.00%
12.50%
25.00%
37.50%
50.00%
62.50%
27.50%
48.33%
14.17% 10.00%
Reasons behind Booking
Online Tickets
Response Percentage
Convenience tops the list of reasons as to why people prefer to book tickets online.
The price factor is the second most important reason for the choice, followed by the variety
of options, and the quality of customer service.
Question 5: How reliable is your booking services of airline online at the time of the
holiday season (i.e. IT related problem)?
Options Response Frequency Response Percentage Total Respondents
Extremely reliable 24 20% 120
Quite reliable 17 14.16% 120
Moderately reliable 53 44.17% 120
Slightly reliable 26 21.66% 120
Table 5: Reliability of Airline Services during Holidays
Price Convenience Variety of choices Online customer
services
0.00%
12.50%
25.00%
37.50%
50.00%
62.50%
27.50%
48.33%
14.17% 10.00%
Reasons behind Booking
Online Tickets
Response Percentage
Convenience tops the list of reasons as to why people prefer to book tickets online.
The price factor is the second most important reason for the choice, followed by the variety
of options, and the quality of customer service.
Question 5: How reliable is your booking services of airline online at the time of the
holiday season (i.e. IT related problem)?
Options Response Frequency Response Percentage Total Respondents
Extremely reliable 24 20% 120
Quite reliable 17 14.16% 120
Moderately reliable 53 44.17% 120
Slightly reliable 26 21.66% 120
Table 5: Reliability of Airline Services during Holidays

14INDUSTRIAL RESEARCH
Extremely reliable Quite reliable Moderately
reliable
Slightly reliable
20%
14%
44%
22%
Reliability of Airline Services
during Holidays
Response Percentage
If the sample population is to be considered, most people (44.17%) find the online
services to be moderately reliable, while 14.16% find it to be quite reliable, and 20% have a
very high reliance on them.
Question 6: If you had an IT related issue while booking a ticket, did it happen during
holiday seasons for popular destinations of tourists?
Options Frequency of response Percentage of response Respondents all
total
Yes 79 65.83% 120
No 13 10.83% 120
Maybe 28 23.33% 120
Table 6: IT Issues during Holiday Seasons for Popular Tourists Destinations
Extremely reliable Quite reliable Moderately
reliable
Slightly reliable
20%
14%
44%
22%
Reliability of Airline Services
during Holidays
Response Percentage
If the sample population is to be considered, most people (44.17%) find the online
services to be moderately reliable, while 14.16% find it to be quite reliable, and 20% have a
very high reliance on them.
Question 6: If you had an IT related issue while booking a ticket, did it happen during
holiday seasons for popular destinations of tourists?
Options Frequency of response Percentage of response Respondents all
total
Yes 79 65.83% 120
No 13 10.83% 120
Maybe 28 23.33% 120
Table 6: IT Issues during Holiday Seasons for Popular Tourists Destinations

15INDUSTRIAL RESEARCH
Yes No Maybe
0.00%
17.50%
35.00%
52.50%
70.00% 65.83%
10.83%
23.33%
IT Issues during Holiday Seasons for
Popular Tourists Destinations
Response Percentage
The responses indicated which an remarkably high number (65.83%) of people have
faced few problems with bookings online during the festive seasons for popular destinations.
Question 7: Will that server-overloaded experience stop you from using online airline
ticketing purchasing services?
Options Frequency of response Percentage of response Respondents all
total
Yes 67 55.83% 120
No 13 10.83% 120
Maybe 40 33.33% 120
Table 7: Impact of Server-Overloaded Experience on using Online Airline Ticketing
Yes No Maybe
0.00%
17.50%
35.00%
52.50%
70.00% 65.83%
10.83%
23.33%
IT Issues during Holiday Seasons for
Popular Tourists Destinations
Response Percentage
The responses indicated which an remarkably high number (65.83%) of people have
faced few problems with bookings online during the festive seasons for popular destinations.
Question 7: Will that server-overloaded experience stop you from using online airline
ticketing purchasing services?
Options Frequency of response Percentage of response Respondents all
total
Yes 67 55.83% 120
No 13 10.83% 120
Maybe 40 33.33% 120
Table 7: Impact of Server-Overloaded Experience on using Online Airline Ticketing
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Yes No Maybe
0.00%
15.00%
30.00%
45.00%
60.00% 55.83%
10.83%
33.33%
Impact of Server-Overloaded Experience
on using Online Airline Ticketing
Response Percentage
The response of survey specifies that most of the people would stop using the service
of online booking due to the problem faced during server-overload.
Question 8: Would you desire to get required recommendations for your next destination
for travelling?
Options Frequency of response Percentage of response Respondents all
total
Yes 83 69.17% 120
No 37 30.83% 120
Table 8: Recommendations for Next Travel Destination
Yes No Maybe
0.00%
15.00%
30.00%
45.00%
60.00% 55.83%
10.83%
33.33%
Impact of Server-Overloaded Experience
on using Online Airline Ticketing
Response Percentage
The response of survey specifies that most of the people would stop using the service
of online booking due to the problem faced during server-overload.
Question 8: Would you desire to get required recommendations for your next destination
for travelling?
Options Frequency of response Percentage of response Respondents all
total
Yes 83 69.17% 120
No 37 30.83% 120
Table 8: Recommendations for Next Travel Destination

17INDUSTRIAL RESEARCH
Yes No
0.00%
17.50%
35.00%
52.50%
70.00%
87.50%
69.17%
30.83%
Recommendations for Next Travel
Destination
Response Percentage
Most of the people (69.17%) chosen to be given recommendations about their next
destination for travelling at the time of their vacations.
Question 9: What are the key factors about choosing that destination for travel?
Options Frequency response Percentage of
response
Respondents all
total
Price 47 39.16% 120
Popularity 32 26.66% 120
Friends or families 33 27.5% 120
Others 8 6.67% 120
Table 9: Factors for Choosing Travel Destination
Yes No
0.00%
17.50%
35.00%
52.50%
70.00%
87.50%
69.17%
30.83%
Recommendations for Next Travel
Destination
Response Percentage
Most of the people (69.17%) chosen to be given recommendations about their next
destination for travelling at the time of their vacations.
Question 9: What are the key factors about choosing that destination for travel?
Options Frequency response Percentage of
response
Respondents all
total
Price 47 39.16% 120
Popularity 32 26.66% 120
Friends or families 33 27.5% 120
Others 8 6.67% 120
Table 9: Factors for Choosing Travel Destination

18INDUSTRIAL RESEARCH
Price Popularity Families or Friends Others
39.16%
26.66% 27.50%
6.67%
Factors for Choosing Travel
Destination
Response Percentage
The responses indicate that most people use price as the parameter for choosing a destination
for the holidays.
Question 10: What is your budget range?
Options Frequency response Percentage of
response
Respondents all
total
$25,000-40,000 57 47.5% 120
$40,000-45,000 38 31.66% 120
$45,000-55,000 13 10.83% 120
$60,000-1,00,000 12 10% 120
Table 10: Budget Range
Price Popularity Families or Friends Others
39.16%
26.66% 27.50%
6.67%
Factors for Choosing Travel
Destination
Response Percentage
The responses indicate that most people use price as the parameter for choosing a destination
for the holidays.
Question 10: What is your budget range?
Options Frequency response Percentage of
response
Respondents all
total
$25,000-40,000 57 47.5% 120
$40,000-45,000 38 31.66% 120
$45,000-55,000 13 10.83% 120
$60,000-1,00,000 12 10% 120
Table 10: Budget Range
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19INDUSTRIAL RESEARCH
$25,000-40,000 $40,000-45,000 $45,000-55,000 $60,000-1,00,000
0.00%
12.50%
25.00%
37.50%
50.00% 47.50%
31.66%
10.83% 10.00%
Budget Range
Response Percentage
The indicated response which the majority of people have the range of their budget of
$25,000 to $40,00 at the time of their holidays. Only few of the people (10%) have spend
more than $50,000 at the time of their vacations.
5.0 Discussion
The findings that are deduced from the qualitative information have stronger the proof
as collected from the qualitative sources. The qualitative sources state that the majority
individuals tend to use on-line booking strategies because of the convenience and engaging
costs that area unit offered on-line. Moreover, an outsized range of individuals face problems
once coping with flight price ticket bookings throughout the festive season because of the
bunch downside. These qualitative findings are often more triangulated with the quantitative
survey results as obtained antecedently, and that they are often more explained as given
below–
Answer 1: It is quite evident from the findings that most people use the online booking
system to reserve their flight tickets. The advancements in technology and the advent of the
internet has therefore made it extremely easy to book tickets, make payments and transfer
funds in just a few seconds. This has also led to the rise in the volume of tickets being
booked, as the convenience of searching for the required tickets has increased (Boonekamp,
et al., 2018). More than 50% of the people surveyed preferred to book tickets through online
websites.
Answer 2: A number of factors are responsible for the choice of a vacation spot. Some of the
most preferred locations are among Rome, London, Prague and Istanbul (Park and Pan,
$25,000-40,000 $40,000-45,000 $45,000-55,000 $60,000-1,00,000
0.00%
12.50%
25.00%
37.50%
50.00% 47.50%
31.66%
10.83% 10.00%
Budget Range
Response Percentage
The indicated response which the majority of people have the range of their budget of
$25,000 to $40,00 at the time of their holidays. Only few of the people (10%) have spend
more than $50,000 at the time of their vacations.
5.0 Discussion
The findings that are deduced from the qualitative information have stronger the proof
as collected from the qualitative sources. The qualitative sources state that the majority
individuals tend to use on-line booking strategies because of the convenience and engaging
costs that area unit offered on-line. Moreover, an outsized range of individuals face problems
once coping with flight price ticket bookings throughout the festive season because of the
bunch downside. These qualitative findings are often more triangulated with the quantitative
survey results as obtained antecedently, and that they are often more explained as given
below–
Answer 1: It is quite evident from the findings that most people use the online booking
system to reserve their flight tickets. The advancements in technology and the advent of the
internet has therefore made it extremely easy to book tickets, make payments and transfer
funds in just a few seconds. This has also led to the rise in the volume of tickets being
booked, as the convenience of searching for the required tickets has increased (Boonekamp,
et al., 2018). More than 50% of the people surveyed preferred to book tickets through online
websites.
Answer 2: A number of factors are responsible for the choice of a vacation spot. Some of the
most preferred locations are among Rome, London, Prague and Istanbul (Park and Pan,

20INDUSTRIAL RESEARCH
2018). Perhaps the reason why these locations are so popular is because of the favourable
weather conditions along with the ease of travel, which attracts most of the tourists. As is
evident from the survey results, more than 40% of the sample population would choose Paris
as their preferred holiday destination, while the preference for Prague was the least (10%).
Answer 3: Many ticketing websites are now available, which has made it easier for people to
search for and book tickets. They offer attractive packages for select destinations, which
many consumers often avail. Bergantino and Capozza (2015) have further mentioned that this
increase in the competition among these websites has further benefitted the customers, since
they are able to have numerous options at their disposal, and can choose the one that has the
least cost. Budget Air has been observed to be the most preferred online air ticketing website
(47.5% preference).
Answer 4: The primary reason why people choose online ticket bookings, as opined by
Brueckner et al. (2015), is that it has made the people’s lives easier and a lot more
comfortable. They no longer have to go to the airport or waste their time manually choosing
the tickets. Moreover, they get massive discounts as well, as the stiff competition among the
websites providing flight bookings has increased. As observed from the conducted survey, it
has been revealed that the primary reason why online bookings are preferred is because of the
convenience, followed by the price factor.
Answer 5: A major issue that most people face during booking flight tickets, especially at
peak seasons such as the holidays or the festive occasions, is that the websites tend to crash
and malfunction. This mostly happens due to the clustering of the customers at a given point
of time, which slows down the servers and makes the website crash. Most people (44.17% of
the surveyed population) find the websites moderately reliable.
Answer 6: The festive season is one period when people wish to relax and travel for leisure.
This also leads to a large number of people booking tickets, all at the same time. The slowing
down of the servers often cause issues for the customers (Liu, et al., 2018), especially in cases
where money gets deducted from their accounts, but bookings fail. A whopping 65.83% of
the sample population reported having suffered from website crashes during the festive
seasons.
Answer 7: When servers do not load properly, or when they consume a lot of time while
loading, it is natural for the customers to get frustrated. The servers often get overloaded due
to the increased number of customers trying to use their service at any given point of time
2018). Perhaps the reason why these locations are so popular is because of the favourable
weather conditions along with the ease of travel, which attracts most of the tourists. As is
evident from the survey results, more than 40% of the sample population would choose Paris
as their preferred holiday destination, while the preference for Prague was the least (10%).
Answer 3: Many ticketing websites are now available, which has made it easier for people to
search for and book tickets. They offer attractive packages for select destinations, which
many consumers often avail. Bergantino and Capozza (2015) have further mentioned that this
increase in the competition among these websites has further benefitted the customers, since
they are able to have numerous options at their disposal, and can choose the one that has the
least cost. Budget Air has been observed to be the most preferred online air ticketing website
(47.5% preference).
Answer 4: The primary reason why people choose online ticket bookings, as opined by
Brueckner et al. (2015), is that it has made the people’s lives easier and a lot more
comfortable. They no longer have to go to the airport or waste their time manually choosing
the tickets. Moreover, they get massive discounts as well, as the stiff competition among the
websites providing flight bookings has increased. As observed from the conducted survey, it
has been revealed that the primary reason why online bookings are preferred is because of the
convenience, followed by the price factor.
Answer 5: A major issue that most people face during booking flight tickets, especially at
peak seasons such as the holidays or the festive occasions, is that the websites tend to crash
and malfunction. This mostly happens due to the clustering of the customers at a given point
of time, which slows down the servers and makes the website crash. Most people (44.17% of
the surveyed population) find the websites moderately reliable.
Answer 6: The festive season is one period when people wish to relax and travel for leisure.
This also leads to a large number of people booking tickets, all at the same time. The slowing
down of the servers often cause issues for the customers (Liu, et al., 2018), especially in cases
where money gets deducted from their accounts, but bookings fail. A whopping 65.83% of
the sample population reported having suffered from website crashes during the festive
seasons.
Answer 7: When servers do not load properly, or when they consume a lot of time while
loading, it is natural for the customers to get frustrated. The servers often get overloaded due
to the increased number of customers trying to use their service at any given point of time

21INDUSTRIAL RESEARCH
(Aguiar-Quintata, et al., 2016). This overloading of servers creates issues for those who are
working on the website, as it becomes difficult for them to handle it. According to the survey
results, more than 50% of the people had the mind to suspend the use of online ticket booking
services due to server breakdowns.
Answer 8: It is quite tedious to find a place that is suitable for a vacation. It involves hours
and days and even weeks of research, because the place chosen must be within the budget
and the comfort levels of the people travelling to that place. The online booking websites
often provide with quite useful recommendations and help come up with a vacation spot for
the users. These recommendations take into consideration certain filters, such as the costs,
travelling preferences, and so on, and provide customized suggestions for the users. Most
people (69.17%) preferred to avail these recommendations.
Answer 9: People consider a horde of factors when choosing a destination for their vacation,
such as price, popularity, time, and even the recommendations and suggestions from their
friends and family. Most people tend to pay attention to price as the parameter for choosing
the place (Tamaki, 2018). The second-most preferred factor on which the choice is made, is
that of the popularity of the place, based on reviews and feedback from other travelers.
Answer 10: The budget is one thing that most people work on before planning for a travel
(Wong and Wei, 2018). The rest of the trip is usually planned after the budget is fixed. Most
people choose those places, which they can easily afford, and a very limited amount of
people spend luxuriously on vacations. Around 47.5% of the sample population considered
the range of $25,000 to $40,000 to be decent enough for a vacation.
6.0 Recommendations
As is clear from the findings of the analysis, a majority of the individuals build use of
the web sites for booking their flight tickets. this could be simply attributed to the
technological developments and therefore the high level of penetration of the web. on-line
payments became abundant easier, and that they may be completed solely at the press of one
button. Moreover, as may be deduced from the discussion, the general public notice on-line
bookings the foremost convenient style of price tag reservation, because it eliminates the
requirement for traveling all the thanks to the flying field and waiting in queues simply to
book a flight. Moreover, the general public like on-line recommendations bearing on
locations for his or her holidays, that is well obtained from these websites and could be a ton
(Aguiar-Quintata, et al., 2016). This overloading of servers creates issues for those who are
working on the website, as it becomes difficult for them to handle it. According to the survey
results, more than 50% of the people had the mind to suspend the use of online ticket booking
services due to server breakdowns.
Answer 8: It is quite tedious to find a place that is suitable for a vacation. It involves hours
and days and even weeks of research, because the place chosen must be within the budget
and the comfort levels of the people travelling to that place. The online booking websites
often provide with quite useful recommendations and help come up with a vacation spot for
the users. These recommendations take into consideration certain filters, such as the costs,
travelling preferences, and so on, and provide customized suggestions for the users. Most
people (69.17%) preferred to avail these recommendations.
Answer 9: People consider a horde of factors when choosing a destination for their vacation,
such as price, popularity, time, and even the recommendations and suggestions from their
friends and family. Most people tend to pay attention to price as the parameter for choosing
the place (Tamaki, 2018). The second-most preferred factor on which the choice is made, is
that of the popularity of the place, based on reviews and feedback from other travelers.
Answer 10: The budget is one thing that most people work on before planning for a travel
(Wong and Wei, 2018). The rest of the trip is usually planned after the budget is fixed. Most
people choose those places, which they can easily afford, and a very limited amount of
people spend luxuriously on vacations. Around 47.5% of the sample population considered
the range of $25,000 to $40,000 to be decent enough for a vacation.
6.0 Recommendations
As is clear from the findings of the analysis, a majority of the individuals build use of
the web sites for booking their flight tickets. this could be simply attributed to the
technological developments and therefore the high level of penetration of the web. on-line
payments became abundant easier, and that they may be completed solely at the press of one
button. Moreover, as may be deduced from the discussion, the general public notice on-line
bookings the foremost convenient style of price tag reservation, because it eliminates the
requirement for traveling all the thanks to the flying field and waiting in queues simply to
book a flight. Moreover, the general public like on-line recommendations bearing on
locations for his or her holidays, that is well obtained from these websites and could be a ton
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22INDUSTRIAL RESEARCH
additional reliable furthermore, since the suggestions square measure typically from intimate
with users have already been to it place or have used those services themselves.
However, a big range of individuals (65.83%) of the individuals were conjointly
featured with technical problems throughout the booking of the flight tickets, and around
55.83% of the respondents felt that they did quit booking tickets on-line thanks to these
server crashes and breakdowns. This could be perceived as a serious issue particularly for the
web price tag merchants, since it might cause the loss of revenue for them. this is often the
first analysis drawback that underlies the complete analysis method. This is often of utmost
importance, since these problems area unit featured in the main throughout the vacation
season and festivals, once massive numbers of individuals travel everywhere the globe to
fancy and relax. Experiencing a server crash will create the shoppers feel that their services
do not seem to be competent enough, and might conjointly force them to modify to the
choices made, thus resulting in a forfeiture of business.
The reason why the cluster of tickets throughout on-line booking happens is due to the
eruption within the volume of traffic that is fully fledged by the web site. This issue will
maybe be eliminated or a minimum of reduced by employing a content delivery network.
There are varied choices concerning these CDNs which will be used by the trade partner if it
needs to reduce the instances of facing web site crashes because of multiple bookings at an
equivalent time, particularly throughout the vacation and holiday season. These CDNs are
sometimes cloud-based, and therefore the scaling services they supply are all automatic in
nature, which means that they will be left on their own and might so attend to the purchasers
in a very reliable manner (Spagna, et al., 2013). These CDNs build it doable for the
purchasers to access the websites seamlessly, in spite of what a part of the planet they are
from. Moreover, it becomes do able for them to transfer content, transfer data, and
additionally exit the payment gateways with success, all due to these content delivery
networks. The CDN is an imperative piece of software system that is important for websites
that have predictable traffic patterns, like those addressing on-line flight price tag bookings.
These websites so have a predictable flow of traffic because the range of users logged into the
sites increase exponentially throughout the vacations and gala seasons, thereby prompting the
necessity for employing a CDN. Moreover, websites typically deny services because of the
cluster issue, and this drawback may be solved with the assistance of those networks.
additional reliable furthermore, since the suggestions square measure typically from intimate
with users have already been to it place or have used those services themselves.
However, a big range of individuals (65.83%) of the individuals were conjointly
featured with technical problems throughout the booking of the flight tickets, and around
55.83% of the respondents felt that they did quit booking tickets on-line thanks to these
server crashes and breakdowns. This could be perceived as a serious issue particularly for the
web price tag merchants, since it might cause the loss of revenue for them. this is often the
first analysis drawback that underlies the complete analysis method. This is often of utmost
importance, since these problems area unit featured in the main throughout the vacation
season and festivals, once massive numbers of individuals travel everywhere the globe to
fancy and relax. Experiencing a server crash will create the shoppers feel that their services
do not seem to be competent enough, and might conjointly force them to modify to the
choices made, thus resulting in a forfeiture of business.
The reason why the cluster of tickets throughout on-line booking happens is due to the
eruption within the volume of traffic that is fully fledged by the web site. This issue will
maybe be eliminated or a minimum of reduced by employing a content delivery network.
There are varied choices concerning these CDNs which will be used by the trade partner if it
needs to reduce the instances of facing web site crashes because of multiple bookings at an
equivalent time, particularly throughout the vacation and holiday season. These CDNs are
sometimes cloud-based, and therefore the scaling services they supply are all automatic in
nature, which means that they will be left on their own and might so attend to the purchasers
in a very reliable manner (Spagna, et al., 2013). These CDNs build it doable for the
purchasers to access the websites seamlessly, in spite of what a part of the planet they are
from. Moreover, it becomes do able for them to transfer content, transfer data, and
additionally exit the payment gateways with success, all due to these content delivery
networks. The CDN is an imperative piece of software system that is important for websites
that have predictable traffic patterns, like those addressing on-line flight price tag bookings.
These websites so have a predictable flow of traffic because the range of users logged into the
sites increase exponentially throughout the vacations and gala seasons, thereby prompting the
necessity for employing a CDN. Moreover, websites typically deny services because of the
cluster issue, and this drawback may be solved with the assistance of those networks.

23INDUSTRIAL RESEARCH
Another recommendation that would be followed by the business partner is that of
keeping an everyday backup of the info of its customers. this may facilitate keep the client
data safe just in case the web site will crash, and can make sure that the content of the
location would stay consistent, thereby saving these corporations from the plight of getting to
affect a totally noncontinuous on-line platform. Moreover, it's conjointly imperative that
these on-line ticketing corporations undertake regular server checks to form positive that
there are not any information caps in place (Ramakrishnan, 2012). Having these information
caps would place a limit to the info that may be hosted and once that limit crosses, the web
site would crash owing to the high traffic volumes.
7.0 Limitations and conclusions
7.1 Limitations of the recommendations
Although a network of content delivery is among the foremost effective strategies to
confirm seamless functioning of internet sites and avoid flight price tag clump throughout
merry and vacation seasons once the traffic volumes square measure terribly high, there
square measure sure limitations to its use that has to be understood by the businesses if they
need to implement it. For example, these CDNs square measure typically a small amount on
the dear facet, and that they price further cash for maintenance and handling (Hosanagar, et
al., 2008). Nevertheless, they are inclined to become a further complexion once it involves
the web site style or its readying. In different words, the back-end handling of the web site
becomes a rather tedious and long method. Nevertheless, many purchasers can be
victimization browser extensions that have the flexibility to dam these terribly CDNs, thereby
rendering them useless as they might stop the content from loading effortlessly.
7.2 Brief summary of the project
The project deals with the gathering of flight ticket problem as being faced by
customers throughout the holiday and festive seasons. This clump happens principally
because of the serious incoming traffic that is veteran throughout these periods within the
year, because it is throughout those months that individuals tend to travel and relax by taking
a handful of days out from their monotonous schedules. As so much because the major
findings square measure involved, it will be mentioned that the majority individuals choose to
book tickets on-line principally because of the convenience of doing it from their homes, and
conjointly because of the worth, as they get multiple offers and discounts after they book
tickets on-line. Nevertheless, most of them are not unaccustomed the server crashes and web
site breakdowns that occur once many folks attempt to access the payment entryway
Another recommendation that would be followed by the business partner is that of
keeping an everyday backup of the info of its customers. this may facilitate keep the client
data safe just in case the web site will crash, and can make sure that the content of the
location would stay consistent, thereby saving these corporations from the plight of getting to
affect a totally noncontinuous on-line platform. Moreover, it's conjointly imperative that
these on-line ticketing corporations undertake regular server checks to form positive that
there are not any information caps in place (Ramakrishnan, 2012). Having these information
caps would place a limit to the info that may be hosted and once that limit crosses, the web
site would crash owing to the high traffic volumes.
7.0 Limitations and conclusions
7.1 Limitations of the recommendations
Although a network of content delivery is among the foremost effective strategies to
confirm seamless functioning of internet sites and avoid flight price tag clump throughout
merry and vacation seasons once the traffic volumes square measure terribly high, there
square measure sure limitations to its use that has to be understood by the businesses if they
need to implement it. For example, these CDNs square measure typically a small amount on
the dear facet, and that they price further cash for maintenance and handling (Hosanagar, et
al., 2008). Nevertheless, they are inclined to become a further complexion once it involves
the web site style or its readying. In different words, the back-end handling of the web site
becomes a rather tedious and long method. Nevertheless, many purchasers can be
victimization browser extensions that have the flexibility to dam these terribly CDNs, thereby
rendering them useless as they might stop the content from loading effortlessly.
7.2 Brief summary of the project
The project deals with the gathering of flight ticket problem as being faced by
customers throughout the holiday and festive seasons. This clump happens principally
because of the serious incoming traffic that is veteran throughout these periods within the
year, because it is throughout those months that individuals tend to travel and relax by taking
a handful of days out from their monotonous schedules. As so much because the major
findings square measure involved, it will be mentioned that the majority individuals choose to
book tickets on-line principally because of the convenience of doing it from their homes, and
conjointly because of the worth, as they get multiple offers and discounts after they book
tickets on-line. Nevertheless, most of them are not unaccustomed the server crashes and web
site breakdowns that occur once many folks attempt to access the payment entryway

24INDUSTRIAL RESEARCH
throughout the checkout method. so as to cut back these problems, the trade partner will
implement the utilization of a content delivery network, which is able to create it easier to
handle all that knowledge while not inflicting abundant pressure to their website.
Nevertheless, it should be ensured that there are not any knowledge caps in place within the
servers, as they need the potential to limit the information being processes by it at any given
purpose of your time.
throughout the checkout method. so as to cut back these problems, the trade partner will
implement the utilization of a content delivery network, which is able to create it easier to
handle all that knowledge while not inflicting abundant pressure to their website.
Nevertheless, it should be ensured that there are not any knowledge caps in place within the
servers, as they need the potential to limit the information being processes by it at any given
purpose of your time.
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25INDUSTRIAL RESEARCH
Reference List
Aguiar-Quintana, T., Moreno-Gil, S. and Picazo-Peral, P., (2016). How could traditional
travel agencies improve their competitiveness and survive? A qualitative study in
Spain. Tourism Management Perspectives, 20, pp.98-108
Bergantino, A.S. and Capozza, C., (2015). Airline Pricing Behavior under Limited Inter‐
Modal Competition. Economic Inquiry, 53(1), pp.700-713
Boonekamp, T., Zuidberg, J. and Burghouwt, G., (2018). Determinants of air travel demand:
The role of low-cost carriers, ethnic links, and aviation-dependent
employment. Transportation Research Part A: Policy and Practice, 112, pp.18-28
Brueckner, J.K., Lee, D.N., Picard, P.M. and Singer, E., (2015). Product unbundling in the
travel industry: The economics of airline bag fees. Journal of Economics & Management
Strategy, 24(3), pp.457-484
Etikan, I., Musa, S.A. and Alkassim, R.S., (2016). Comparison of convenience sampling and
purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), pp.1-4.
Hosanagar, K., Chuang, J., Krishnan, R. and Smith, M.D., (2008). Service adoption and
pricing of content delivery network (CDN) services. Management Science, 54(9), pp.1579-
1593.
Liu, J., Liu, B., Liu, Y., Chen, H., Feng, L., Xiong, H. and Huang, Y., (2018). Personalized
Air Travel Prediction: A Multi-factor Perspective. ACM Transactions on Intelligent Systems
and Technology (TIST), 9(3), p.30
Oliver, P., (2010). The student's guide to research ethics. London: McGraw-Hill Education
(UK).
Park, S.Y. and Pan, B., (2018). Identifying the next non-stop flying market with a big data
approach. Tourism Management, 66, pp.411-421
Reference List
Aguiar-Quintana, T., Moreno-Gil, S. and Picazo-Peral, P., (2016). How could traditional
travel agencies improve their competitiveness and survive? A qualitative study in
Spain. Tourism Management Perspectives, 20, pp.98-108
Bergantino, A.S. and Capozza, C., (2015). Airline Pricing Behavior under Limited Inter‐
Modal Competition. Economic Inquiry, 53(1), pp.700-713
Boonekamp, T., Zuidberg, J. and Burghouwt, G., (2018). Determinants of air travel demand:
The role of low-cost carriers, ethnic links, and aviation-dependent
employment. Transportation Research Part A: Policy and Practice, 112, pp.18-28
Brueckner, J.K., Lee, D.N., Picard, P.M. and Singer, E., (2015). Product unbundling in the
travel industry: The economics of airline bag fees. Journal of Economics & Management
Strategy, 24(3), pp.457-484
Etikan, I., Musa, S.A. and Alkassim, R.S., (2016). Comparison of convenience sampling and
purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), pp.1-4.
Hosanagar, K., Chuang, J., Krishnan, R. and Smith, M.D., (2008). Service adoption and
pricing of content delivery network (CDN) services. Management Science, 54(9), pp.1579-
1593.
Liu, J., Liu, B., Liu, Y., Chen, H., Feng, L., Xiong, H. and Huang, Y., (2018). Personalized
Air Travel Prediction: A Multi-factor Perspective. ACM Transactions on Intelligent Systems
and Technology (TIST), 9(3), p.30
Oliver, P., (2010). The student's guide to research ethics. London: McGraw-Hill Education
(UK).
Park, S.Y. and Pan, B., (2018). Identifying the next non-stop flying market with a big data
approach. Tourism Management, 66, pp.411-421

26INDUSTRIAL RESEARCH
Ramakrishnan, R., (2012). Cap and cloud data management. Computer, 45(2), pp.43-49.
Ruiz-Mafe, C., Sanz-Blas, S. and Aldas-Manzano, J., (2009). Drivers and barriers to online
airline ticket purchasing. Journal of Air Transport Management, 15(6), pp.294-298.
Spagna, S., Liebsch, M., Baldessari, R., Niccolini, S., Schmid, S., Garroppo, R., Ozawa, K.
and Awano, J., (2013). Design principles of an operator-owned highly distributed content
delivery network. IEEE Communications Magazine, 51(4), pp.132-140.
Tamaki, K.Y., (2018). Integrated, diverse media marketing linked with database marketing
for inbound reginal tourism planned by destination. Journal of Global Tourism
Research, 3(1), 43-48
Tashakkori, A. and Teddlie, C. eds., (2010). Sage handbook of mixed methods in social &
behavioral research. London: Sage.
Wiles, R., Crow, G., Heath, S. and Charles, V., (2008). The management of confidentiality
and anonymity in social research. International Journal of Social Research
Methodology, 11(5), pp.417-428.
Wong, E. and Wei, Y., (2018). Customer online shopping experience data analytics:
Integrated customer segmentation and customised services prediction model. International
Journal of Retail & Distribution Management, 46(4), pp.406-420
Zhang, J., Gui, Y., Wu, B., Morrison, A.M. and Li, C., (2016). Is destination marketing
organization microblogging in China delivering? An empirical analysis of information supply
against consumer information needs. Journal of Vacation Marketing, 22(1), pp.68-85
Ramakrishnan, R., (2012). Cap and cloud data management. Computer, 45(2), pp.43-49.
Ruiz-Mafe, C., Sanz-Blas, S. and Aldas-Manzano, J., (2009). Drivers and barriers to online
airline ticket purchasing. Journal of Air Transport Management, 15(6), pp.294-298.
Spagna, S., Liebsch, M., Baldessari, R., Niccolini, S., Schmid, S., Garroppo, R., Ozawa, K.
and Awano, J., (2013). Design principles of an operator-owned highly distributed content
delivery network. IEEE Communications Magazine, 51(4), pp.132-140.
Tamaki, K.Y., (2018). Integrated, diverse media marketing linked with database marketing
for inbound reginal tourism planned by destination. Journal of Global Tourism
Research, 3(1), 43-48
Tashakkori, A. and Teddlie, C. eds., (2010). Sage handbook of mixed methods in social &
behavioral research. London: Sage.
Wiles, R., Crow, G., Heath, S. and Charles, V., (2008). The management of confidentiality
and anonymity in social research. International Journal of Social Research
Methodology, 11(5), pp.417-428.
Wong, E. and Wei, Y., (2018). Customer online shopping experience data analytics:
Integrated customer segmentation and customised services prediction model. International
Journal of Retail & Distribution Management, 46(4), pp.406-420
Zhang, J., Gui, Y., Wu, B., Morrison, A.M. and Li, C., (2016). Is destination marketing
organization microblogging in China delivering? An empirical analysis of information supply
against consumer information needs. Journal of Vacation Marketing, 22(1), pp.68-85

27INDUSTRIAL RESEARCH
Bibliography
Ghimire, K. B. (Ed.). (2013). The native tourist: Mass tourism within developing countries.
New York: Routledge.
Guritno, S., and Siringoringo, H. (2013). Perceived usefulness, ease of use, and attitude
towards online shopping usefulness towards online airlines ticket purchase. Procedia-Social
and Behavioral Sciences, 81, pp.212-216.
Miller, T., Birch, M., Mauthner, M., and Jessop, J. (Eds.). (2012). Ethics in qualitative
research. Sage.
Neuman, W. L., and Robson, K. (2014). Basics of social research. Toronto: Pearson Canada.
Volz, E., and Heckathorn, D. D. (2008). Probability based estimation theory for respondent
driven sampling. Journal of Official Statistics, 24(1), p.79.
Zailani, S., Kheng, L. C., and Fernando, Y. (2008). Service quality analysis on the consumer
perceptions toward online ticketing: Evidence in Malaysia. International Business
Management, 2(1), pp.11-21.
Bibliography
Ghimire, K. B. (Ed.). (2013). The native tourist: Mass tourism within developing countries.
New York: Routledge.
Guritno, S., and Siringoringo, H. (2013). Perceived usefulness, ease of use, and attitude
towards online shopping usefulness towards online airlines ticket purchase. Procedia-Social
and Behavioral Sciences, 81, pp.212-216.
Miller, T., Birch, M., Mauthner, M., and Jessop, J. (Eds.). (2012). Ethics in qualitative
research. Sage.
Neuman, W. L., and Robson, K. (2014). Basics of social research. Toronto: Pearson Canada.
Volz, E., and Heckathorn, D. D. (2008). Probability based estimation theory for respondent
driven sampling. Journal of Official Statistics, 24(1), p.79.
Zailani, S., Kheng, L. C., and Fernando, Y. (2008). Service quality analysis on the consumer
perceptions toward online ticketing: Evidence in Malaysia. International Business
Management, 2(1), pp.11-21.
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