Özkil, Altan

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Name Variants
A., Özkil
O., Altan
Ozkil, Altan
Ö., Altan
Altan, Ozkil
Altan Özkil
Ö.,Altan
A.,Özkil
A., Ozkil
Ozkil,A.
Altan, Özkil
Özkil,A.
A.,Ozkil
O.,Altan
Ozkil,Altan
Ozkil A.
Özkil, Altan
Job Title
Doktor Öğretim Üyesi
Email Address
altan.ozkil@atilim.edu.tr
Main Affiliation
Aviation Management
Status
Website
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
2
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
1
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GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
1
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
1
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
1
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
1
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

14

Articles

7

Views / Downloads

61/788

Supervised MSc Theses

0

Supervised PhD Theses

5

WoS Citation Count

7

Scopus Citation Count

5

Patents

0

Projects

0

WoS Citations per Publication

0.50

Scopus Citations per Publication

0.36

Open Access Source

4

Supervised Theses

5

JournalCount
2019 2nd International Conference on Engineering Technology and its Applications, IICETA 2019 -- 2nd International Conference on Engineering Technology and its Applications, IICETA 2019 -- 27 August 2019 through 28 August 2019 -- Al-Najef -- 1581521
ACM International Conference Proceeding Series -- 11th International Conference on Information Communication and Management, ICICM 2021 -- 12 August 2021 through 14 August 2021 -- Virtual, Online -- 1748141
European Journal of Operational Research1
İstatistikçiler Dergisi: İstatistik ve Aktüerya1
İstatistikçiler Dergisi: İstatistik ve  Aktüerya1
Current Page: 1 / 2

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Scholarly Output Search Results

Now showing 1 - 1 of 1
  • Article
    Citation - WoS: 2
    Citation - Scopus: 1
    A Mathematical Model Proposal for Cost-Effective Course Planning in Large Hierarchical Organizations
    (Elsevier, 2014) Karamalak, Levent; Sabuncuoglu, Ihsan; Ozkil, Altan
    Hierarchical organizations, especially in government agencies, are known by their pyramidal structures and continuous training needs resulting from promotions and/or assignments. Using scientific and rational methods in the job analysis/description, recruitment/selection, assignment, performance appraisal and career planning functions of human resource management (HRM) process decreases training costs. In this study, we develop a new chain of methodologies (the cost-effective course planning model (CECPM)) to decrease training costs and increase the level of specialization. This methodology is implemented in the following steps of the HRM process: (1) the job analysis/description step, where our Mission Description Matrix defines in measurable units the amount of training needed for an employee assigned to a position, (2) the career matrix step, where the minimum training costs for an employee's career path are determined using our network-flow model and (3) the assignment step, where we propose a decision support system composed of an analytical hierarchy process, linear programming and Pareto optimality analysis. The results indicate that our proposed system ensures minimum training needs while satisfying person-to-position compatibility and personnel's preferences. (C) 2014 Elsevier B.V. All rights reserved.