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    <ns1:title language="en">A model for air transport market competition assessment : airline and alliance perspective</ns1:title>
    <ns2:subtitle language="en">doctoral dissertation</ns2:subtitle>
    <ns2:alt_title language="sr">Model za ocenu konkurencije na tržištu vazdušnog saobraćaja : aviokompanije i alijanse : doktorska disertacija</ns2:alt_title>
    <ns1:language>en</ns1:language>
    <ns1:description language="en">The thesis deals with several aspects of competition in long-haul market that is
characterized by the presence of full-service network carriers that are typically members
of large alliance groups and low-cost carrier that operates independently from any
cooperation agreement. The thesis focuses on transatlantic market as one of the most
lucrative airline market in the world characterized by the great number of full-service
network carriers and recent influx of few low-cost carriers. In order to properly investigate
the impact of low-cost carrier on full-service network carriers on competitive routes, three
models were developed in the thesis. The first model presents the original econometric
model designed to examine the impact of low-cost carrier on full-service network carrier’s
price and number of passengers in the predefined set of long-haul city-pair markets.
As airlines aim to obtain as larger portion of the market as possible, the second model in
the thesis was developed to predict the airline market share on the routes characterized
by the presence of low-cost carrier, as one of the competitor in long-haul city-pair
markets. The model is based on the application of fuzzy logic. Taking into account the key
factors that determine airline market share (price and frequency of service), the proposed
market share model can provide satisfactory results without taking into consideration
passengers’ perceptions towards different aspects of airline service.
Measuring the airline efficiency becomes an inevitable step in assessing the airline
competitive advantage. The fuzzy-based DEA CCR model is developed including the set of
input and output variables carefully derived to reflect the current market outlook. The
results show that major airlines which operate within alliances are generally more
competitive than other mid-sized carriers, primarily due to the benefits derived from the
economy of density.</ns1:description>
    <ns1:description language="sr">Doktorska disertacija razmatra nekoliko aspekata konkurencije na tržištu dugolinijskog
saobraćaja na kome su prisutne kako tradicionalne aviokompanije, koje su uglavnom i
članice neke od vodećih alijansi, tako i niskotarifne aviokompanije, koje posluju nezavisno
od bilo kakvog korporativnog udruživanja. Fokus disertacije je na severnoatlantskom
tržištu koje se ubraja u najatraktivnija tržišta na svetu na kome je tradicionalno prisutan
veliki broj tradicionalnih aviokompanija, ali od skoro, i neznatan broj niskotarifnih
aviokompanija. U doktorskoj disertaciji su razvijena tri modela sa ciljem da se detaljno
utvrdi uticaj koji niskotarifni prevozilac ima na svoje konkurente, tradicionalne prevozioce,
na dugolinijskim rutama. Prvi model predstavlja originalno razvijeni ekonometrijski model
koji za cilj ima utvrđivanje uticaja niskotarifnog prevozioca na cene karata i broj
prevezenih putnika tradicionalnog prevozioca na unapred definisanom skupu dugolinijskih
ruta koje povezuju određene parove gradova.
S obzirom na to da je jedan od osnovih ciljeva svake aviokompanije da ostvari što veći
udeo na tržištu, u doktorskoj disertaciji je razvijen robusni model za predikciju učešća na
tržištu aviokompanija koje obavljaju saobraćaj na dugolinijskim linijama na kojima postoji
konkurencija od strane niskotarifnog prevozioca. Model je baziran na primeni fazi logike.
Uzimajući u obzir ključne faktore koji određuju udeo na tržištu posmatrane aviokompanije,
predloženi model daje zadovoljavajuće rezultate bez potrebe uzimanja u obzir
preferencije putnika prema određenim aspektima usluge.
Merenje efikasnosti aviokompanija predstavlja neizostavni stepenik u oceni konkurentske
prednosti posmatrane aviokompanije. Fazi DEA CCR model razvijen u ovoj disertaciji je
baziran na pažljivo izabranom skupu ulaznih i izlaznih promenljivih kako bi što bolje
opisalo trenutno stanje na evropskom tržištu. Rezultati ukazuju da su velike tradicionalne
aviokompanije, koje ujedno predstvaljaju i stožere alijansi, konkurentnije od manjihtradicionalnih aviokomapanija, pre svega zbog benefita ostvarenih kroz efekat ekonomije
obima.</ns1:description>
    <ns1:description language="en">Transport and Traffic Engineering /  Saobraćajno inženjerstvo  Datum odbrane: 12.07.2019.</ns1:description>
    <ns1:keyword language="en">airline competition, low-cost carriers, full-service network carriers, low-costlong-haul business model, transatlantic market, econometric models, airline market share,airline efficiency, fuzzy logic, fuzzy-based DEA CCR model, sensitivity analysis</ns1:keyword>
    <ns1:keyword language="sr">konkurencija, konkurentnost niskotarifne aviokompanije, tradicionalneaviokompanije, niskotarifni poslovni modeli u duolinijskom saobraćaju, severnoatlantskotržište, ekonometrijski modeli, model za ocenu učešća na tržištu, efikasnostaviokompanija, fazi logika, fazi logički DEA CCR model, analiza osetljivosti</ns1:keyword>
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    <ns2:peer_reviewed>no</ns2:peer_reviewed>
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        <ns3:firstname> Jovana G., 1985-, 27968871</ns3:firstname>
        <ns3:lastname>Kuljanin</ns3:lastname>
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        <ns3:firstname> Milica, 1966-, 12717159</ns3:firstname>
        <ns3:lastname>Kalić</ns3:lastname>
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        <ns3:firstname> Boris, 1956-, 12451943</ns3:firstname>
        <ns3:lastname>Begović</ns3:lastname>
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        <ns3:firstname> Michele, 1978-, 27975271</ns3:firstname>
        <ns3:lastname>Ottomanelli</ns3:lastname>
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        <ns3:firstname> Radosav, 27978087</ns3:firstname>
        <ns3:lastname>Jovanović</ns3:lastname>
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        <ns3:firstname> Manuel, 27979623</ns3:firstname>
        <ns3:lastname>Renold</ns3:lastname>
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    <ns1:format>VII, 222 lista</ns1:format>
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    <ns7:keyword language="en" seq="0">airline competition, low-cost carriers, full-service network carriers, low-costlong-haul business model, transatlantic market, econometric models, airline market share,airline efficiency, fuzzy logic, fuzzy-based DEA CCR model, sensitivity analysis</ns7:keyword>
    <ns7:keyword language="sr" seq="1">konkurencija, konkurentnost niskotarifne aviokompanije, tradicionalneaviokompanije, niskotarifni poslovni modeli u duolinijskom saobraćaju, severnoatlantskotržište, ekonometrijski modeli, model za ocenu učešća na tržištu, efikasnostaviokompanija, fazi logika, fazi logički DEA CCR model, analiza osetljivosti</ns7:keyword>
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