Online Decision Aid In Airline Industry Marketing Essay

Online Decision Aid In Airline Industry Marketing Essay 1. Online Decision Aids (ODAs) The World Wide Web can change human behavior and its communications with the world largely. Online shopping is one major example. Internet is changing day by day the way customers are shopping, buying goods. Many companies started using the Internet with the aim of cutting marketing costs, thereby reducing the price of their products and services. There are numbers of online shops that do not exist in the real world for e.g. Amazon, eBay, target etc. There is lot of benefit for all those who are sitting at home. Sometimes it may become difficult for a customer to choose a product from such a huge list, but customers always go for quality and Price. Most online retailers provide the customers with some help in the form of online decision aids (ODAs) .Online Decision Aid (ODA) is how customers make purchase on Internet .Customers buying goods on internet is based on the Online decision Aid. ODA help customers firstly through Information retrieval that is form of searching documents and data within the documents, as well as searching relational databases of documents within the World Wide Web. Whenever user enters a query in search bar, IR scores the query and ranks it according to its value. Secondly, ODAs uses information filtering, through which the system removes unwanted data and brings relevant stuff for customers according to customers need. Filtering tool helps user to locate the most relevant data, so that system take limited time to search for product and valuable documents. Filters used to organize and structure information so that information displayed in front of customers in sequence. Lastly, ODA use Collaborative Filtering process that displayed in front of customers. Collaborative filtering (CF) is the process of filtering data or techniques involving collaboration among multiple agents, viewpoints, data sources, etc. CF is applied on many different kinds of data sensing and monitoring data such as in mineral exploration, environmental sensing over large areas or multiple sensors; financial data such as financial service institutions that integrate many financial sources; or in electronic commerce and web 2.0 applications where the focus is on user data, etc. Collaborative filtering (CF) algorithm involves Prediction of the item and recommendation of data. Example of Collaborative filtering (CF): Figure 1: Result of Google 2. Benefits of ODA Use of ODA help user to find the product easy and more quickly. The task of ODA is use to compare or filter the data and brings relevant data in front of customers. In practice, ODAs get information from the customers and then based on the input preferences; they filter a massive amount of information and provide the customers with a smaller set of results. In addition, if there are plenty of customers on one website so in that way retailer have to make combination of ODA according to Customer decision. Customers buying travel tickets online does not have good idea than the customers buying a Product from online stores. If a customer is, buying ticket online is identified then the website developer have to see how many Combination of ODA can be made according to customer need and bringing accurate result in front of customer. 3. Types of ODA There are five types of ODA namely: Recommendation Agent Personalized Recommendation Bargain List Consumer Reviews Problem Definition 3.1. Recommendation Agent Recommendation agents (RAs) are software agents that bring products according to customer need. If customer is searching for a Product, online software agent brings related products in front of customer to save time. RA sustain and develop the quality of the decisions that customers made when searching for and selecting products online (Xiao. B Benbasat I, 2007). RA focuses on developing and evaluating different underlying algorithms that generate recommendations (Xiao. B Benbasat.I, 2007). RA itself is ODA that produce a list of goods available in the online store and then that list, ranked based on customer preferences. RA generates recommendation in a way to help customers. For example if customer is buying an Airline Ticket than RA also recommend other airline tickets with cheap prices so that it become easier for customers(Mohajerani .A , 2008). Figure 2: Process of Recommendation agents (RA) RAs use in different areas, including E-commerce, education, and organization knowledge management (Xiao. B Benbasat.I, 2007). In context of E-commerce, RA involved in two Processes: product brokering merchant brokering Product Brokering is the process of finding the best-suited product for customer and merchant brokering is the process of finding the best-suited vendor (Xiao. B Benbasat.I, 2007).In the project we focus on Product Brokering RA. A product broker is someone that locates the best possible deals for their customer by using a variety of sources. Some Product brokers have connections with major retail partner stores like Target, Wal-mart, Best Buy, etc that provide customers with the best potential deals. In Product broker case if customer want to buy product (i.e. Airline ticket) first he have to contact product broker, services of product broker are free. Customer signs up and provides detail to product broker what he is looking for, then product broker direct you to best store for that product. Once customer buys that product through Product broker services then product broker is pay through partner stores. In this way, it becomes smarter and easier for customer to buy that product rather than searching for that on different websites. 3.2. Personalized Recommendation Shopping on the web is more informative rather than shopping in ordinary store. So much information about products may lead overload and that creates less discontentment and confusion in customers. If we create personalized recommender systems, than this problem will overcome as there are different ways to overcome this Problem (Mohajerani .A, 2008).There are two types of personalized recommender systems (Mohajerani .A, 2008) First, if customer wants to buy a product. The personal information of a customer is collected and the system reasons about the preferences of the customer by analyzing the available personal information. Then, the history of the products he or she has browsed and the products he or she has purchased in the past would be analyzed. Finally, a profile is created for the customer to be used for further recommendations (Mohajerani .A , 2008) .System then record observation and behavior of customer and build a model according to that observation , once the model is obtained than System Predict other Product according to the behavior of customer in same area . Figure 3: Personalized Recommender Systems The second type of personalized system are those in which customer do not frequently purchase (Mohajerani .A, 2008). For example if customer is purchasing an airline ticket on the other hand he is purchasing home appliance, there will be no history maintain for such kind of ODA. For this other recommender system are used In this case, domain experts are required to make recommendations and give suggestion (Mohajerani .A, 2008). 3.3. Bargain List Bargain lists are the list of products or services, which sellers offer with lower price or in discount rates. Retailers tend to offer bargains and discounts on special occasions e.g. Christmas, Eid etc (Mohajerani .A, 2008). Figure 4: List of discounted Items Sometime customer likes products but they cannot afford in different seasons. Discount rates help customer to buy their favorite goods. Customers mostly consider price the main factor that draws them to an online retailing Web site. However, although offering low prices on all products is a good way to attract price-sensitive customers (Mohajerani .A, 2008). Bargain list is useful in two ways (Mohajerani .A , 2008) first customer react towards lower price product and discounted products , second bargain list offer those product which are left few in the stock. Bargain list are those ODA which inform customer about the low prices products (Mohajerani .A, 2008). 3.4. Consumer Reviews When customer is shopping online, they face two types of reviews. One is product review which is created by the retailer of the product and the second is a consumer review (CR) which is written by the consumers who have already used the product (Mohajerani .A, 2008). Consumer review is the review of product and suggestion of other products to customer. Figure 5: Consumer review Product review Customer search for opinions from other customer and they mostly rely on experience of other customer then they make final decision whether to purchase or not. Customers can give feedback for that product so that it becomes influence towards other customers. CRs are presented in a written form, consumers are then able to easily examine and measure positive and negative opinions in terms of quality and quantity (Mohajerani .A, 2008). 3.5. Problem Definition Decision making process for customer might become problem sometimes but ODA satisfied the customer through different recommendation systems. ODA develop more practical and convenient Web site for customers. 4. Importance of Online Decision Aid in Airline Industry Airline industry moves towards saving time of customers. Customer interacts with websites rather than inconveniently interact with an impatient travel agent in search for less Expensive tickets (Rubin E Mantin B, 2008). In this Project, we will examine a solution in the context of the travel industry. Customers just have to use internet when they write their query in search engine. Through this process total search cost of customer is reduce. Online decision aid has become an important tool for customer to take decision more quickly and effectively. In the context of flights, as information about alternative travel combinations is present, Customers can find similar, alternative flights, with lower prices and lower experienced demand. Therefore, depending on their flexibility, customers may end up purchasing less expensive alternatives rather than the more expensive, highly demanded ones (Rubin E Mantin B, 2008). When you search for a flight in search engine, you get various results. Some of the e-ticketing websites are Expedia, .ixigo, onetime, .travel-ticker, booking buddy, fare compare etc. Figure 6: Example of Airfare websites The main context of this research is to what extent information is provided by a decision aid on a carrierà ¢Ãƒ ¢Ã¢â‚¬Å¡Ã‚ ¬Ãƒ ¢Ã¢â‚¬Å¾Ã‚ ¢s website affects the results of retailer. More specifically, the major contributions of our research are in (Rubin E Mantin B, 2008): Record the previous search by customer, and extend the work and give recommendation of other airfare product through consumer review with discounts. Improving interaction between decision aids and pricing (Rubin E Mantin B, 2008). Improving the processes affecting airfare pricing (Rubin E Mantin B, 2008). 5. Web portal of flights Example Through a research on two web portal Expedia and Sky scanner, we extract few results. We book a round trip from Karachi (KHI) to Dubai (DXB) starting from Dec 31, 2010 to Jan 13, 2011. Both websites gave different consequences with recommendations of different airlines Figure 7: Sky Scanner and Expedia Figure 8: Results of Sky scanner Sky scanner show results with different airline Air blue, Emirates with timing of Departure and Duration with total cost of the flight. Figure 9: Results of Expedia Expedia show flights with different airline Gulf Air, Emirates with timing of Departure and Duration with total cost of the flight. Comparing the entire result, customer will select Airline with less charge and less duration time. In this way, it becomes easier for customer to book flights and ODA recommend so many flights. Sometime on special occasion like Christmas, Eid etc these retailers give discount on tickets and there are special honeymoon packages for couples. Figure 10: Bargaining list of travel deals 6. Conclusion ODA in airline industry is best way to buy ticket online on customer demand with cheap prices .ODA help customer to find best product they need. ODA uses different types of filtering tool, which is use to filter data, bring the most relevant data in front of customer, and give suggestions about other products. Through ODA, Recommendation agents (RAs) bring product according to customer wish and show bargain list of that product to customer. Customer also can buy product through product broker, which is link with some retailers. Customers can give feedback for products on web portal so it becomes helpful and easier for other customer to buy that product.

The Character of Friar Lawrence in the Drama Romeo and Juliet

In the drama Romeo and Juliet by William Shakespeare, Friar Lawrence is a kind, knowledgeable, peacekeeping, and wise character. He also acts as a foil to the Montaques, Capulets, and the nurse. He is a priest to both the Montaque and Capulet houses. He is a well-liked person in the town of Verona. The Friar is a positive figure in the community and serves as a good role model for the children of Verona. Friar Lawrence is wise, educated kind, and peace loving. When Romeo comes to tell Friar Lawrence about his engagement the Friar offers many wise pieces of advice. Such as when he says that young men†s love lies in their eyes he means for Romeo to make sure he loves Juliet for who she is and not how she looks. He also tells Romeo that women may fall when there is no strength in men. This means that if he is not stable and constant Juliet may become inconstant herself. His knowledge of Greek mythology and his great understanding of plants show Friar Lawrence†s high level of education. When he is collecting plants in the beginning of scene three he speaks of the Greek god Titan. His reference to Titan shows he has had some background in mythology. Friar Lawrence also has a vast knowledge of plants and flowers. Friar Lawrence grows a magnificent garden which he tends to during the time in which he is not fulfilling his church duties. He speaks to Romeo about a plant that can be used for healing or as poison. This discussion leads into a speech by Friar Lawrence about people having a good side and a bad side like the flower he spoke of. This suggests that he has a background in philosophy. The friar is also very kind and peace loving. He is speaks to Romeo as if they are best friends and Romeo seems to really enjoy being around the friar. They laugh, joke, and discuss Romeo†s love life showing that Romeo is very comfortable around the friar. The friar is an all-around good guy. In the drama Friar Lawrence acts as a foil to both the Capulets and the Montaques. The two houses show no signs of attempting to make peace with one another they don†t even seem to really know what their feud is about. Friar Lawrence states that he hopes the marriage of Romeo and Juliet will bring an end to their quarrel. Friar Lawrence is happy for the couple and wishes them well, he even agrees to marry them. The two families would have certainly forbid the marriage in the first place. They despise each other and letting their children get married would be the furthest thing from their minds. Every time the Capulets and the Montaques see each other their first impulse is to fight whereas the friar is trying to bring an end to all the bloodshed and turmoil by marrying Romeo and Juliet. The two houses have no regard for public safety or rules they have had three major street brawls, which resulted in injury or death for citizens of Verona. The Friar however is always trying to keep peace in the public. The two families should try to be more like the friar and settle their dispute. Friar Lawrence also serves as a foil to the nurse she has an awful dialect, shoes no signs of high education, and does not discuss proper subjects. The nurse has a terrible dialect. She uses many words to express an idea that could be expressed in one or two. She will add or remove words as she pleases. For example she will say things like cock†rel, fall†st, or rememb†red. The friar on the other hand is very articulate. He can get his message across using few words and he speaks very eloquently. The friar obviously has a huge vocabulary. The nurse†s speech also brings up another issue her lack of education. If the nurse had any form of higher level education she would be much more concise in her speaking. The friar has obviously had some higher education because of his huge vocabulary and his vast knowledge of plants and his philosophical discussions. The nurse does not discuss subjects that would be considered proper. When she is speaking to Romeo she talks about Juliet†s large dowry. This is not something that would be discussed in fourteenth century. Friar Lawrence has never discussed anything that would be considered improper and has always seemed to have a polite manner about him. The difference between the nurse and the friar is like night and day. Friar Lawrence is definitely educated, wise, kind, and knowledgeable. He shows it over and over again in the play. He is undoubtedly a foil to the Capulets, Montaques, and the nurse. The friar is a well-respected member of the community and a spiritual leader. He is a one-of-a-kind character and the town of Verona would indefinitely suffer without him.

Gay Marriage Should Not Be Allowed Anywhere On This Earth.

Gay Marriage should not be allowed anywhere on this Earth. Charles Colson, a contributing editor of the Christianity Today magazine and a radio commentator, was against gay marriage in his article, he wrote â€Å"Gay â€Å"Marriage†: Societal Suicide.† Many people can flood both sides of this argument, but are mainly against gay marriages. Gay marriage is a sin, violates the natural law, children should be raised by a mother and father, and the rights should not be equal if they choose to disobey God. However, Katha Pollitt a poet and essayist, is all for gay marriage in her article, â€Å"What’s wrong with Gay Marriage?† First and foremost, gay marriages should not be allowed in the United States because we all as humans were not put on this earth to†¦show more content†¦A child should be raised by a father and a mother. A child should not be raised by the same gender growing up. Gay marriage ignores the offspring’s best interests. It really offends God in a lot of ways that there are people in our world like this. People will use the excuse of everybody sins, but I know that this issue is one of the major sins that you should not cross, no matter the circumstances. God created men and women to be fertile and multiply. He created us to raise the children correctly and maybe become doctors. He did not create us to raise or have the same gender. Children need mother and father figures throughout their life. In the Article â€Å"What’s wrong with Gay Marriage?† by the Katha Pollitt, she is for Gay Marriage and honestly believes there is nothing wrong with it. She does not believe that homosexuals threaten the institution. In the article on page 461, Pollitt states, â€Å"Gay marriage is not about sex, it is about separation of church and state. She strongly believes that gay marriage creates happiness. 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Impact of Print Media on Society - 10439 Words

THE EFFECTIVENESS OF THE DOVE EVOLUTION FILM AS A ONE-SHOT MEDIA LITERACY TREATMENT by DANIEL AARON WHEELER A.A. Alabama Christian College 1979 B.A. Western Illinois University 1989 M.A. University of Alabama 1994 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Education in the Department of Educational Studies in the College of Education at the University of Central Florida Orlando, Florida Spring Term 2009 Major Professors: Cynthia J. Hutchinson, E. Lea Witta  ©2009 Daniel Aaron Wheeler ii ABSTRACT The purpose of this study is to test the effectiveness of the Dove Evolution film as a one-shot media literacy treatment to change sociocultural attitudes toward appearance. Four speech†¦show more content†¦We’ve grown a lot in our journey together. Most of all, I am indebted to Almighty God and His Son Jesus for His redeeming blood. I pray that I will be a faithful minister and this doctorate degree will be to their glory. 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