Work Experience

  • 0000 2013

    INTERNATIONAL MARKETING COMMUNICATION MANAGER

    NEAR EAST UNIVERSITY , INTERNATIONAL STUDENTS OFFICE

  • 2012 2012

    RESEARCH ASISTANT

    MINISTERY OF FOREIGN AFFAIRS OF TRNC , TRNC REPRESENTATION OFFICE IN BRUSSELS/BELGIUM

  • 0000 2009

    LECTURER

    NEAR EAST UNIVERSITY , BANKING AND FINANCE

  • 2008 2007

    ASSISTANT

    NEAR EAST BANK , FOREIGN EXCHANGE DEPARTMENT

  • 2007 2006

    ASSISTANT

    NEAR EAST BANK , CUSTOMER REPRESENTATIVE

Education & Training

  • Ph.D. 2017

    BUSINESS ADMINISTRATIONS

    NEAR EAST UNIVERSITY

  • Master2009

    INTERNATIONAL MARKETING

    UNIVERSITY OF BIRMINGHAM

  • Bachelor2008

    BANKING AND FINANCE

    NEAR EAST UNIVERSITY

Honors, Awards and Grants

  • 2007
    HIGH HONOUR
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    NEAR EAST UNIVERSITY
  • 2008
    HIGH HONOUR
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    NEAR EAST UNIVERSITY
  • 2004
    HIGH HONOUR
    image
    NEAR EAST UNIVERSITY
  • 2006
    HIGH HONOUR
    image
    NEAR EAST UNIVERSITY
  • 2005
    HIGH HONOUR
    image
    NEAR EAST UNIVERSITY

Research Projects

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Segmenting Student Profiles On The Usage Of Social Networking Media: A Case Study On Facebook

Conference Paper 4th International Future-Learning Conference on Innovations in Learning for the Future , Volume 2012, Issue 2012, 2012, Pages 2012

Abstract

Social networking (SN) media such as Facebook, MySpace, LinkedIn and Twitter are communications technologies which are used by students today. The SN media has the potential of being used for various reasons such as communicating with friends and colleagues, providing and receiving education, creation of social capital. SN media has become widely used and adopted by millions of users with a great number of purposes in mind. Facebook is one of the most popular and commonly used SN media (Mazman & Usluel, 2010) for college students. Currently Facebook has a diverse community of users at all levels of education and areas of society, including companies and universities. A major contribution of this study is that it leads to comparing the differences among individuals (age, department and nationality), analysing the amount of time spent on Facebook, and realizing individual preferences in Facebook usage among university students. Our sample frame was limited to undergraduate students at the Faculty of Economics and Administrative Sciences at the Near East University in Cyprus. Participants in this study consisted of 173 volunteer undergraduate students. In order to reach the aims in a scientific way, the sample was selected by the method of random sampling. The data collection form titled “Students’ Facebook Usage” was prepared by the authors. The data collection form consisted of two sections: First section embodies 5 questions on personal information. In the second section, 6 questions were asked to learn students’ opinions on Facebook usage. The results obtained in the study were analyzed, described, and later interpreted by creating tables using appropriate statistical techniques in the direction of the suggestions of statistical experts. Descriptive statistics, independent sample t-tests, and crosstabulation analysis for comparative analyses were used to analyze and interpret the data. The main results of the study indicate that 30.6% of the students check their Facebook account once a day and most of the students (46.8%) spend only 0-1 hours each day on Facebook. Another important finding of the study is that there are no statistically significant differences among individuals according to nationalities, departments and ages towards time spent on Facebook. As for the purposes of checking their Facebook account, most of the participants log on to Facebook to specify their location (88.4%) and to check in to see where their friends are at that time (85.5%). It is also important to consider the necessity of using SN medias, and especially Facebook, for educational purposes as they are being used very intensely among young individuals. As the academic literature is reviewed, we can realize that these types of studies are now being conducted (see Mazman & Usluel, 2010; Sheldon, 2008; Moorman & Bowker, 2001). There has been significant interest and growth in the number of educational institutions which are using social networking media in order to support learning and teaching. As the future objective of this study is to use e-learning platforms for educational purposes in our Faculty, we are aiming at segmenting the students according to their Facebook usage profiles to be able to apply the new technology of using Facebook for educational purposes. Segmentation and creating usage profiles for students is thought to be a useful technique because this technique would improve the performance and effectiveness of designing and organizing the e-learning platforms. These profiles would be beneficial in targeting the students by understanding their Facebook usage better and designing more suitable e-learning platforms for them. Therefore, these appropriate tools would improve students’ educational performances. The application of segmentation is thought to achieve better performance than those who do not apply this technique (Dibb, Stern & Wensley, 2002).


Özet

Social networking (SN) media such as Facebook, MySpace, LinkedIn and Twitter are communications technologies which are used by students today. The SN media has the potential of being used for various reasons such as communicating with friends and colleagues, providing and receiving education, creation of social capital. SN media has become widely used and adopted by millions of users with a great number of purposes in mind. Facebook is one of the most popular and commonly used SN media (Mazman & Usluel, 2010) for college students. Currently Facebook has a diverse community of users at all levels of education and areas of society, including companies and universities. A major contribution of this study is that it leads to comparing the differences among individuals (age, department and nationality), analysing the amount of time spent on Facebook, and realizing individual preferences in Facebook usage among university students. Our sample frame was limited to undergraduate students at the Faculty of Economics and Administrative Sciences at the Near East University in Cyprus. Participants in this study consisted of 173 volunteer undergraduate students. In order to reach the aims in a scientific way, the sample was selected by the method of random sampling. The data collection form titled “Students’ Facebook Usage” was prepared by the authors. The data collection form consisted of two sections: First section embodies 5 questions on personal information. In the second section, 6 questions were asked to learn students’ opinions on Facebook usage. The results obtained in the study were analyzed, described, and later interpreted by creating tables using appropriate statistical techniques in the direction of the suggestions of statistical experts. Descriptive statistics, independent sample t-tests, and crosstabulation analysis for comparative analyses were used to analyze and interpret the data. The main results of the study indicate that 30.6% of the students check their Facebook account once a day and most of the students (46.8%) spend only 0-1 hours each day on Facebook. Another important finding of the study is that there are no statistically significant differences among individuals according to nationalities, departments and ages towards time spent on Facebook. As for the purposes of checking their Facebook account, most of the participants log on to Facebook to specify their location (88.4%) and to check in to see where their friends are at that time (85.5%). It is also important to consider the necessity of using SN medias, and especially Facebook, for educational purposes as they are being used very intensely among young individuals. As the academic literature is reviewed, we can realize that these types of studies are now being conducted (see Mazman & Usluel, 2010; Sheldon, 2008; Moorman & Bowker, 2001). There has been significant interest and growth in the number of educational institutions which are using social networking media in order to support learning and teaching. As the future objective of this study is to use e-learning platforms for educational purposes in our Faculty, we are aiming at segmenting the students according to their Facebook usage profiles to be able to apply the new technology of using Facebook for educational purposes. Segmentation and creating usage profiles for students is thought to be a useful technique because this technique would improve the performance and effectiveness of designing and organizing the e-learning platforms. These profiles would be beneficial in targeting the students by understanding their Facebook usage better and designing more suitable e-learning platforms for them. Therefore, these appropriate tools would improve students’ educational performances. The application of segmentation is thought to achieve better performance than those who do not apply this technique (Dibb, Stern & Wensley, 2002).

ON MULTI-CRITERIA DECISION MAKING UNDER Z-INFORMATION

Conference Paper ICAFS – 2014-Eleventh International Conference on Application of Fuzzy Systems and Soft Computing, Volume ISBN: 3-933609-32-4, Issue ISBN: 3-933609-32-4, 2014, Pages 219-224

Abstract

Once the decision making comes into progress the biggest problem arises is the influence of dissimilar causes of uncertainty. Consequently, introduced models expected to eliminate the affects of unclear and modified information which also got affected from unexpected situation as well as changing human preferences and judgments over time where multi criteria is a case. Human Judgments affects the decision making processes especially within multi- creation. Accordingly, decision making processes applied with data which is reliable to a degree for the reason of uncertainty.


Özet

Once the decision making comes into progress the biggest problem arises is the influence of dissimilar causes of uncertainty. Consequently, introduced models expected to eliminate the affects of unclear and modified information which also got affected from unexpected situation as well as changing human preferences and judgments over time where multi criteria is a case. Human Judgments affects the decision making processes especially within multi- creation. Accordingly, decision making processes applied with data which is reliable to a degree for the reason of uncertainty.

Z- LINEAR PROGRAMMING BASED MULTICRITERIAL DECISION MAKING PROBLEM

Conference Paper ICSCCW–2015 Eighth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, Volume ISBN: 3-933609-8, Issue ISBN: 3-933609-8, 2015, Pages 57-68

Abstract

In the most of real-world decision making situations, it is often required to make a decision on the basis of vague, uncertain and partially reliable data. Stochastic programming, interval programming, and fuzzy programming approaches have been developed for solving such decision making problems under different types of uncertainty. Unfortunately, among a wide spectrum of methods for solving single or multi-criteria decision problems with different levels of generalization of decision-relevant information including interval, fuzzy, generalized fuzzy, and random numbers representations, till now there is no approach in experience to account for reliability of information on decision situations. Prof. L. Zadeh introduced the concept of a Z-number to describe uncertain information, which is a more generalized notion closely related to reliability. The use of Z-information is more adequate and intuitively meaningful for formalizing information structure of a decision problem. In this paper a new approach to multi-criteria decision making under Z-information representing bimodal, i.e. possibilistic and probabilistic information model within the framework of Z-linear programming (Z-LP) is proposed. The method to solve Z-valuation based multi- objective Z-LP problems based on differential evolution optimization and arithmetic of Z-numbers developed by the authors is proposed. The suggested model and method of multi-criteria decision making on the base of Z-LP is illustrated by a benchmark decision making problem, and a comparative analysis which shows their validity is provided.


Özet

In the most of real-world decision making situations, it is often required to make a decision on the basis of vague, uncertain and partially reliable data. Stochastic programming, interval programming, and fuzzy programming approaches have been developed for solving such decision making problems under different types of uncertainty. Unfortunately, among a wide spectrum of methods for solving single or multi-criteria decision problems with different levels of generalization of decision-relevant information including interval, fuzzy, generalized fuzzy, and random numbers representations, till now there is no approach in experience to account for reliability of information on decision situations. Prof. L. Zadeh introduced the concept of a Z-number to describe uncertain information, which is a more generalized notion closely related to reliability. The use of Z-information is more adequate and intuitively meaningful for formalizing information structure of a decision problem. In this paper a new approach to multi-criteria decision making under Z-information representing bimodal, i.e. possibilistic and probabilistic information model within the framework of Z-linear programming (Z-LP) is proposed. The method to solve Z-valuation based multi- objective Z-LP problems based on differential evolution optimization and arithmetic of Z-numbers developed by the authors is proposed. The suggested model and method of multi-criteria decision making on the base of Z-LP is illustrated by a benchmark decision making problem, and a comparative analysis which shows their validity is provided.

Application of z-restriction-based multi-criteria choice to a marketing mix problem

Conference Paper Procedia Computer Science, Volume volume 102, Issue 102, 2016, Pages 29-30

Abstract

In this paper the method of solving Z-number valued multiobjective linear programming problem proposed in “R.A. Aliev, O.H. Huseynov, R.R. Aliyev, A.V. Alizadeh, The Arithmetic of Z-numbers. Theory and Applications. Singapore: World Scientific, 2015” is applied to solve a marketing mix problem. The method utilizes differential evolution optimization. The obtained results show validity and applicability of the proposed approach.


Özet

General Publication Z-LINEAR PROGRAMMING BASED MULTICRITERIAL DECISION MAKING PROBLEM, 2016

Abstract


Özet

http://scholar.google.com/scholar?cluster=13615568172423701732&hl=en&oi=scholarr

General Publication ON MULTI-CRITERIA DECISION MAKING UNDER Z-INFORMATION, 2016

Abstract


Özet

General Publication SEGMENTING STUDENT PROFILES ON THE USAGE OF SOCIAL NETWORKING MEDIA: A CASESTUDY ON FACEBOOK, 2016

Abstract


Özet

Ranking of Z-Numbers and Its Application in Decision Making

Original Article International journal of Information Technology and Decision Making , Volume 1503, Issue 15, 2016, Pages 1503

Abstract

Real-world decision problems in decision analysis, system analysis, economics, ecology, and other fields are characterized by fuzziness and partial reliability of relevant information. In order to deal with such information, Prof. Zadeh suggested the concept of a Z-number as an ordered pair Z=(A,B)Z=(A,B) of fuzzy numbers AA and BB, the first of which is a linguistic value of a variable of interest, and the second one is a linguistic value of probability measure of the first one, playing a role of reliability of information. Decision making under Z-number based information requires ranking of Z-numbers. In this paper we suggest a human-like fundamental approach for ranking of Z-numbers which is based on two main ideas. One idea is to compute optimality degrees of Z-numbers and the other one is to adjust the obtained degrees by using a human being’s opinion formalized by a degree of pessimism. Two examples and a real-world application are provided to show validity of the suggested research. A comparison of the proposed approach with the existing methods is conducted.


Özet

Currrent Teaching

Teaching History

  • 2017 GÜZ

    PRINCIPLES OF BANKING

    na

  • 2015 GÜZ

    PRINCIPLES OF BANKING I

    na

  • 2018 GÜZ

    PRINCIPLES OF BANKING

    na

  • 2017 GÜZ

    PUBLIC RELATIONS

    na

  • 2016 BAHAR

    PRINCIPLES OF BANKING II

    -

  • 2017 GÜZ

    PRINCIPLES OF BANKING I

    -

  • 2018 GÜZ

    PRINCIPLES OF BANKING I

    -

  • 2015 GÜZ

    PRINCIPLES OF BANKING I

    -

  • 2017 BAHAR

    INTERNATIONAL MARKETING

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  • 2015 GÜZ

    PRINCIPLES OF BANKING

    na

  • 2014 BAHAR

    INTERNATIONAL MARKETING

    -

  • 2015 GÜZ

    INTERNATIONAL MARKETING

    -

  • 2014 BAHAR

    PRINCIPLES OF BANKING II

  • 2014 BAHAR

    PRINCIPLES OF BANKING II

    -

  • 2015 BAHAR

    PRINCIPLES OF BANKING II

  • 2015 BAHAR

    PRINCIPLES OF BANKING II

    -

  • 2017 GÜZ

    PUBLIC RELATIONS

    0

  • 2015 BAHAR

    INTERNATIONAL MARKETING

    -

  • 2017 GÜZ

    PRINCIPLES OF BANKING I

    na

  • 2018 GÜZ

    PRINCIPLES OF BANKING I

    na

  • 2016 BAHAR

    INTERNATIONAL MARKETING

    -

  • 2017 GÜZ

    PUBLIC RELATIONS

    00

  • 2017 BAHAR

    PRINCIPLES OF BANKING II

    -

  • 2018 BAHAR

    PRINCIPLES OF BANKING II

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At My Office