@article{article_370761, title={DETERMINATION OF SMARTPHONE BRAND PEREFERENCES VIA MARKOV CHAIN ANALYSIS: A CASE STUDY ON UNIVERSITY 1ST GRADERS}, journal={PressAcademia Procedia}, volume={3}, pages={674–684}, year={2017}, DOI={10.17261/Pressacademia.2017.643}, author={Oztemiz, Hatice Handan and Iplikci, Handan Guler}, keywords={Smart Phone,Brand Preference,Markov Chain Analysis,Steady-State Vector,Stochastic Processes}, abstract={<p class="MsoNormal" style="margin-top:0cm;margin-right:0cm;margin-bottom:.0001pt;margin-left:-.25pt;line-height:103%;"> <span style="font-size:8pt;line-height:103%;">Smart phones
that are getting functional as much as computers coupled with the development
in technology are the most frequently used communication instruments in our
lives. This widespread use of smartphones </span> <span style="font-size:11pt;line-height:103%;"> </span> <span style="font-size:8pt;line-height:103%;">has enabled them to focus on consumer work by influencing the
efforts of manufacturers to prioritize brands. The purpose of this study is to
determine smartphone preferences </span> <span style="font-size:11pt;line-height:103%;"> </span> <span style="font-size:8pt;line-height:103%;">and to estimate the market share of mobile phone
manufacturers in the long term by determining the transitions between the
intended brands. The extensive usage of smart phones, ensure the producing
companies efforts affectionally to focus towards consumers to bring their
brands into the forefront. To determine the smart phone brand preference a
questionnaire is conducted on 200 first grade students in the university
departments Applied Sciences International Trade and Banking and Finance
department in Celal Bayar University. From all this questionnaires, it is seen
that 153 questionnaires could be used because of missing data. Participants of
the questionnaires are asked about their currently used smart phone brands and
the previously used smart phone brands. The Markov Chains are used in the
analyze of the smart phone brand preferences. </span> <span style="font-size:11pt;line-height:103%;"> </span> <span style="font-size:8pt;line-height:103%;">The Markov transition probability matrixes are
constituted considering the numbers between the transitions from a smart phone
to another smart phone brand. Among the phone brands that students have used
before, Samsung maintains leadership with 47%, followed by Nokia with 18 %,
iPhone with 15.6% and Sony with 6,5 % . </span> <span style="font-size:11pt;line-height:103%;"> </span> <span style="font-size:8pt;line-height:103%;">Among the phone brands used by students at the moment,
Samsung has reached 32% with the iPhone, 27% with the iPhone, 12.4% with LG and
8.4% with GM. After the analyses it is concluded that the most preferred brands
would be 45 % for Iphone, 24% for Samsung, 10% for LG, 6% for General Motors
and 5% for Sony in long term.  </span> </p> <p> </p>}, number={1}, publisher={Suat TEKER}