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and predict the behavior of the sales outcome. For example, it can be identifying the
correlation between seat prices of particular airlines and air trac delays. As per
recent surveys of (Forbes, 2008), it is noticed that for every minute of ight delay it
will aect the ticket prices about $1.5. Low cost airlines oer ticket pricing without
the baggage, food and beverages, which gives privileges to aord all common people
(Groves & Gini, 2013). Hofer, Windle and Dresner (2008) explained more details of
the how low cost airlines are dier from the other airlines. Lazarev (2013)
described
in detailed how fare variations can be inuenced in various time periods. Lazarev
designed very good model to predict optimum prices for low cost airlines to generate
almost 90% of the prot margin. In general, all the customers always think if earlier
booking ight fares might be less prices.
Based on the various studies on the airline business, the most important aspects to buy
tickets online in advance according to the user’s observation and their risk (Etzioni,
Tuchinda, Knoblock & Yates, 2003). The user who purchases their tickets online
should have a sense of control over the task they are performing over the Internet.
This helps to reduce the feeling of risk or fear associated with the possibility of:
making a mistake when making an airline booking online (that is, psychological risk);
not receiving their ticket or the ight not even existing (performance risk) (Brons,
Pels, Nijkamp & Rietveld, 2002). Several research papers described the promotions
on ticket prices, gift vouchers, airline points and upgrades, which playing indirectly
to attract the customers (Barrett, 2004; Gillen, & Lall, 2004). The majority of these
studies conclude that the incentives employed have a positive eect on airline ticket
purchase and repeat purchase and highlight that the eectiveness of the program
depends to a large extent on the particular incentive oered (Aviasales, n.d.). The
literature regarding the choice of Airlines has made it clear that both the benets
provided by frequent yer programs and air fares signicantly aect user’s choices
(Groves & Gini, 2013). Users who travel for business perceive the frequent yer
programs as more useful than other users. These authors even guarantee that business
travelers are willing to pay more in exchange for reducing access time, traveling with
top-ranked airlines, and traveling in a better class (O’Connell & Williams, 2005;
Sabre, 2015).