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.
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Running head: INDUSTRIAL RESEARCH 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 canoftenbeexpensive,astheycostadditionalmoney,andrequireextracareand 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
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.
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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 questionsoftheresearch.Theconclusionofthereportisbyasetofpreferable 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 choicebehavior In things wherever shoppers have the choice of the many alternatives in terms of merchandise,servicesorbrands,theytendtocreatedecisionsthatsquaremeasure 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 statesthat 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 environmentalsustainabilityand otherconcerns, havepressurizedtheairlineindustry. 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.
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
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? OptionsResponse FrequencyResponse PercentageTotal Respondents Extremely often6554%120 Quite often2319.17%120 Moderately often1815%120
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10INDUSTRIAL RESEARCH Slightly often1411.66%120 Table 1: Purchasing Online Tickets Extremely oftenQuite oftenModerately oftenSlightly 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? OptionsResponse FrequencyResponse PercentageTotal Respondents Istanbul2117.5%120 Prague1210%120 London1714.17%120 Rome1815%120 Paris5243.33%120 Table 2: Popular Tourist Destinations
11INDUSTRIAL RESEARCH IstanbulPragueLondonRomeParis 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? OptionsResponse FrequencyResponse PercentageTotal Respondents Budget Air5747.5%120 Cheap Flights2319.17%120 Kayak1815%120 Ixigo2218.33%120 Table 3: Online Airline Ticketing Website
12INDUSTRIAL RESEARCH Budget AirCheap FlightsKayakIxigo 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? OptionsResponse FrequencyResponse PercentageTotal Respondents Price3327.5%120 Convenience5848.33%120 Variety of choices1714.17%120 Online customer services1210%120 Table 4: Reasons behind Booking Online Tickets
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13INDUSTRIAL RESEARCH PriceConvenienceVariety of choicesOnline 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)? OptionsResponse FrequencyResponse PercentageTotal Respondents Extremely reliable2420%120 Quite reliable1714.16%120 Moderately reliable5344.17%120 Slightly reliable2621.66%120 Table 5: Reliability of Airline Services during Holidays
14INDUSTRIAL RESEARCH Extremely reliableQuite reliableModerately 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 populardestinations of tourists? OptionsFrequency of responsePercentage of responseRespondents all total Yes7965.83%120 No1310.83%120 Maybe2823.33%120 Table 6: IT Issues during Holiday Seasons for Popular Tourists Destinations
15INDUSTRIAL RESEARCH YesNoMaybe 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 thatserver-overloaded experience stop you from using online airline ticketingpurchasing services? OptionsFrequency of responsePercentage of responseRespondents all total Yes6755.83%120 No1310.83%120 Maybe4033.33%120 Table 7: Impact of Server-Overloaded Experience on using Online Airline Ticketing
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16INDUSTRIAL RESEARCH YesNoMaybe 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 getrequired recommendations for your next destination for travelling? OptionsFrequency of responsePercentage of responseRespondents all total Yes8369.17%120 No3730.83%120 Table 8: Recommendations for Next Travel Destination
17INDUSTRIAL RESEARCH YesNo 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? OptionsFrequency responsePercentage of response Respondents all total Price4739.16%120 Popularity3226.66%120 Friends or families3327.5%120 Others86.67%120 Table 9: Factors for Choosing Travel Destination
18INDUSTRIAL RESEARCH PricePopularityFamilies or FriendsOthers 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? OptionsFrequency responsePercentage of response Respondents all total $25,000-40,0005747.5%120 $40,000-45,0003831.66%120 $45,000-55,0001310.83%120 $60,000-1,00,0001210%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,
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
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 theweb sitesforbooking theirflighttickets.thiscouldbesimplyattributedtothe 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 recommendationsbearing 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,itbecomesdo ablefor themtotransfercontent,transferdata,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 becomesarathertediousandlongmethod.Nevertheless,manypurchaserscanbe 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 handleallthatknowledgewhilenotinflictingabundantpressuretotheirwebsite. 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 travelagenciesimprovetheircompetitivenessandsurvive?Aqualitativestudyin 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: Theroleoflow-costcarriers,ethniclinks,andaviation-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 forinboundreginaltourismplannedbydestination.JournalofGlobalTourism 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 andanonymityinsocialresearch.InternationalJournalofSocialResearch Methodology,11(5), pp.417-428. Wong,E. andWei,Y.,(2018). Customeronlineshoppingexperiencedataanalytics: 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 perceptionstowardonlineticketing:EvidenceinMalaysia.InternationalBusiness Management,2(1), pp.11-21.