Ali Osman Kuşakcı

Küresel rekabete ayak uydurmak ve sürdürülebilir olmak isteyen tüm şirketler ve kurumlar, değişimi doğru bir şekilde yönetmek, teknolojinin gerekli kıldığı zihinsel ve operasyonel dönüşümü kurumlarına hızlı bir şekilde adapte etmek zorundadırlar.

Adı Soyadı

Ali Osman Kuşakcı

İlgi Alanları

Business Analytics, Artificial Intelligence, Genetic Algorithm, Constrained Optimization

Kurumdaki Durumu

Aktif Personel

Detaylı Öğe Kaydı

Arama Sonuçları

Listeleniyor 1 - 10 / 30

Performance measurement of composite textile industries in Pakistan using data envelopment analysis
(2018) Kuşakcı, Ali Osman; Jasmin, Mariam; Bushera, İbrahim; Yönetim Bilimleri Fakültesi, İşletme Bölümü
This study aims at evaluating and measuring the relative technical efficiency of Pakistan’s textile industry vertically integrated composite firms using Data Envelopment Analysis under the assumption of variable returns to scale (VRS). The data used for this study is collected from the firm’s official website and the Karachi Stock Exchange. This output oriented study covers 29 firms for the period of 2014-2016 employing three homogeneous inputs and outputs. Current asset, production cost and administration cost of the firms are used as inputs elements, gross profit, and total sales and net income compromised the output constituent. In addition to evaluating technical efficiency, this paper examines variations among efficient and inefficient firms. Our findings indicate that, only 17% percent of the firms are scale efficient while 35% of the firms are technically efficient with a mean value of 0.731. Our analysis also indicates an average of 0.572 technical efficiency from constant returns to scale DEA, an average of 0.731 of technical efficiency from variable returns to scale DEA, and an average of 0.805 Scale efficiency. Accordingly, this study confirmed the existence of scale and technical efficiency difference between the firms of the same industry. Though the determinant and factors of efficiency difference among firms is not examined in this study, we recommend that inefficient firms need to enhance their scale size and perk up their managerial practices to enhance their overall efficiency.
The effects of frequent flyer programs in the airline industry on customer loyalty
(Research and Development Academy, 2021) Kuşakcı, Ali Osman; Şahin, Hande; Mbowe, Baboucarr; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Customer Loyalty Programs are one of the handiest tools to raise brand awareness, and secure long-term and strong ties between a brand and existing consumers. Airline companies have been using frequent flyer programs (FFPs) to retain customers with the expectation of increasing passengers’ loyalty levels. The purpose of this study was to examine the significance of FFPs for customer loyalty, which is of great help for customer retention in the civil aviation industry in the sample of passengers flying from the new Istanbul Airport. Furthermore, we questionedthe effectiveness of various services and products offered within FFPs for loyalty, which is decomposed into two main components, behavioral, and attitudinal commitment of loyalty. We evaluatedthe significance of various demographic factors on passengers’ perception of FFPs services and privileges, and customer loyalty. The study confirmedthe vital role of FFPs to build up brand loyalty, where profession, duration of the membership to FFPs, and gender are essential factors.
Towards sustainable cities: A sustainability assessment study for metropolitan cities in Turkey via a hybridized IT2F-AHP and COPRAS approach
(Elsevier, 2022) Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Kuşakcı, Sümeyye; Sowe, Samba; Nantembelele, Fatuma Abdallah; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Accelerating trends of urbanization enforce the integration of sustainability principles into urban planning in a local scale to foster prosperity for the next generation of cities. This study incorporates fifty-three indicators on economic, social, environmental, and institutional dimensions to develop a Sustainable Cities Index (SCI) and assess the sustainability performance of thirty metropolitans in Turkey over 2010-2018. Turkish metropolitans constitute an appealing case study due to the rapid urbanization within the same time span. To answer how new metropolitans have been doing and whether they perform better than formerly declared metropolitans in Turkey, we propose a novel methodology with three stages that hybridizes Interval Type-2 Fuzzy Analytical Hierarchy Process (IT2F-AHP) and Complex Proportional Assessment of Alternatives (COPRAS). The former captures a high degree of uncertainty due to the subjective weight assignment by the experts, while the latter calculates aggregate scores for 30 cities. Finally, we conduct posthoc analyses to examine the significance of the urbani-zation policies in Turkey on the SCI scores. Thus, the study provides valuable insights into urbanization practices and encourages local administrations to spend more effort balancing the benefits and costs of public policies on sustainability.
A Scoping review of artificial intelligence applications in airports
(Sigma Xplore, 2024) Amiri, Misagh Haji; Kuşakcı, Ali Osman; Yönetim Bilimleri Fakültesi, İşletme Bölümü
This paper aims to synthesize the literature on the application of artificial intelligence for airports. The selected methodology was based on the PRISMA Extension for Scoping Reviews (PRISMA-ScR), a recognized framework for systematic reviews. Authors searched the Scopus and Web of Science databases for articles that met the following criteria: (1) publication in peer-reviewed journals, (2) English language, and (3) relevance to airport operations, demonstrated by either (a) the use of airport datasets for showcasing AI applications or (b) the use of airports as case studies. Articles were assessed by two reviewers, and data were extracted on the articles’ keywords, publication year, and origin country. After screening and checking for eligibility, 121 unique articles were examined. Upon assessment, the included articles were categorized into seven main themes. Each category and its specific subtopics were individually discussed within this paper. Results indicate that the most extensively studied category belongs to airport administration and management. Security and air traffic control (ATC) were the second and third most studied categories, respectively. Notably, a significant portion of the articles focused on optimization techniques, scheduling strategies, and developing decision support systems (DSS) tailored to various airport departments. This paper not only highlights current research trends in the field of AI for airports but also identifies gaps in the existing literature. The paper proposes future research directions to enhance the effective implementation of AI technologies within airport environments.
Performance evaluation of real estate investment trusts using a hybridized interval type-2 fuzzy AHP-DEA approach: The case of Borsa Istanbul
(World Scientific Publishing, 2019) Tatoğlu, Ekrem; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Tatoğlu, Ekrem; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Tatoğlu, Ekrem; İçten, Orkun; Yetgin, Feyzullah; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
This study proposes a three-stage holistic methodology combining an interval type-2 fuzzy analytical hierarchy process (IT2F-AHP) and data envelopment analysis (DEA) to deal with the performance evaluation problems encountered in fuzzy decision environments. In the first stage, prospective inputs and outputs are determined by field studies. The second stage employs IT2F-AHP to identify the most appropriate performance indicators based on vague expert judgements. Finally, DEA is applied to the decision-making units (DMUs) based on the selected set of input and output measures. The proposed methodology proves its merit on a case study addressing the performance of real estate investment trusts (REITs) in Turkey during their ten-year journey of trading on Borsa Istanbul (BIST). The results demonstrate that the average scores for technical, pure technical and scale efficiencies are 66%, 80% and 80%, respectively. Considering the technical efficiency scores, Turkish REITs could have reduced their input factors by an average of 34%. The findings also reveal that the majority of Turkish REITs suffer from economies of scale and could have improved their performance by expansion.
Profiling consumers' decision-making styles: The case of environmental conscious consumers in Basaksehir, Istanbul
(Bandırma Onyedi Eylül Üniversitesi, 2019) Kuşakcı, Ali Osman; Topaloğlu, Kürşat; Kifo, Nour; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Every person has differences from others through personality, lifestyle, economic wealth, and their interest. Hence these differences affect their decisions. This research provides a clear look for antecedent studies on consumer decision-making styles (DMS), connects the findings of those studies with today's consumers, and determine a new dimension of the consumers' DMS that affected by new consumer trends, which is thriving by environmental awareness of consumers. Where, less plastic usage and more green products are consumed by environmentally friendly consumers. The research starts with a brief summary of consumers' DMS dimensions, explains the need for the new dimension, clarifies consumers DMS of people that live in Başakşehir, Istanbul, and make suggestions for firm managers, marketers and the future researches. Lastly, results show that six out of eight factors suggested by Sproles and Kendall, [1986], are validated by the research. Whereas, two of the factors are not confirmed, and a new dimension has determined, which is named as “environmentally conscious consumer".
ERP system evaluation in the defense industry: A hybridized spherical fuzzy AHP-codas approach
(World Scientific, 2023) Nebati, Emine Elif; Ayvaz, Berk; Kuşakcı, Ali Osman; Kuşakcı, Ali Osman; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Design/methodology/approach: Converting data into information and its diffusion along all organization units has become a vital survival skill. At this point, an ERP system provides an invisible network among a company's internal and external stakeholders and plays a strategic role. Moreover, ERP systems offer some advantages. For example, integrating financial, customer, and order information, speeding up production processes, and reducing stock level and order lead time. Therefore, we propose an integrated spherical fuzzy-analytical hierarchy process (SF-AHP) and spherical fuzzy-combinative distance-based assessment (SF-CODAS) framework to prioritize the best ERP software provider for the defense industry. Purpose: Despite having the advantages mentioned above, some crucial aspects must be considered while selecting an ERP package. Factors such as high cost, difficulty in installation, and security threats can be very challenging. The latter issue needs special care in the defense industry. This study aims to design an evaluation framework for the ERP selection problem in the sector.Findings: One of the pivoting defense companies in Turkey is chosen as a case study. Seven ERP systems are evaluated with the proposed model. The results show that the proposed model can be successfully implemented in a defense company context. Furthermore, a sensitivity analysis proves the robustness of the approach to varying threshold parameters in CODAS and different fuzzy weighting approaches.Originality/value: The defense professionals prioritize a different set of selection criteria than conventional manufacturing firms. The study provides a rare holistic framework for the defense industry using a hybridized SF-AHP-CODAS technique. Thus, the study may serve as reference work for the researchers and decision-makers during the digitalization journey of defense firms.
Sustainability assessment of biomass-based energy supply chain using multi-objective optimization model
(Springer, 2024) Kuşakcı, Ali Osman; Kuşakcı, Ali Osman; Yıldız, Hatice Güneş; Ayvaz, Berk; Deveci, Muhammet; Garg, Harish; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
In recent years, population growth and lifestyle changes have led to an increase in energy consumption worldwide. Providing energy from fossil fuels has negative consequences, such as energy supply constraints and overall greenhouse gas emissions. As the world continues to evolve, reducing dependence on fossil fuels and finding alternative energy sources becomes increasingly urgent. Renewable energy sources are the best way for all countries to reduce reliance on fossil fuels while reducing pollution. Biomass as a renewable energy source is an alternative energy source that can meet energy needs and contribute to global warming and climate change reduction. Among the many renewable energy options, biomass energy has found a wide range of application areas due to its resource diversity and easy availability from various sources all year round. The supply assurance of such energy sources is based on a sustainable and effective supply chain. Simultaneous improvement of the biomass-based supply chain's economic, environmental and social performance is a key factor for optimum network design. This study has suggested a multi-objective goal programming (MOGP) model to optimize a multi-stage biomass-based sustainable renewable energy supply chain network design. The proposed MOGP model represents decisions regarding the optimal number, locations, size of processing facilities and warehouses, and amounts of biomass and final products transported between the locations. The proposed model has been applied to a real-world case study in Istanbul. In addition, sensitivity analysis has been conducted to analyze the effects of biomass availability, processing capacity, storage capacity, electricity generation capacity, and the weight of the goals on the solutions. To realize sensitivity analysis related to the importance of goals, for the first time in the literature, this study employed a spherical fuzzy set-based analytic hierarchy method to determine the weights of goals.
Country selection for energy company’s new branch using fuzzy topsis
(Yıldız Teknik Üniversitesi, 2019) Kuşakcı, Ali Osman; Chlyeh, Douina; Elaiche, Aicha; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Solar energy is regarded as one of the most important and promising technologies in the field of renewable energies. Turkey has been one of the first countries to adopt solar energy and harness it in the last two decades. Many Turkish companies especially holdings started to invest in North Africa, either by expanding their operations there or through opening new branches and making alliances with the other countries concerned. This paper aims to identify the best North African country for a specific Turkish company to open a solar energy branch. The process involved Fuzzy Topsis multi-criteria decision making where criteria for selection of one of the countries has been collected from experts, and three decision makers have been chosen to rate the criteria in terms of each alternative countries. Fuzzy topsis analysis was chosen because of the level of the uncertainty in this case study. Regardless of the data available concerning each criterion for all the alternative countries, there is still a certain level of ambiguity to overcome. The results of this study suggested that Algeria would be the best choice for this Turkish company to open up a new branch. The second best fitting country would be Egypt followed by Libya. While Morocco and Tunisia had the lowest ranking.
Value stream mapping in lean production and an application in the textile sector
(JITAL, 2018) Kuşakcı, Ali Osman; Kuşakcı, Ali Osman; İnce, Utku; Ayvaz, Berk; Öztürk, Fatih; Kuşakcı, Ali Osman; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
With increasing competition from globalization, in many sectors, global brands have shifted their production lines to countries with low labor costs in order to reduce their costs in the last two decades. The way to produce in other countries in order to maintain their production at their own centers is to reach competitive production cost levels. Under these circumstances, firms focus on the idea of reducing costs by focusing on production systems and removing all activities that do not produce value and consume resources. One of the ideas that has emerged in recent years and will help the company in this regard is the philosophy of Lean Manufacturing. Value stream mapping is one of these tools. It is an important and effective tool because each process in the value chain of a product reveals a visual "map" and information flow. The textile industry, one of the labor-intensive sectors, has succeeded in developing its competitive power over time by acquiring new production and marketing strategies. With this study, it is aimed to show the success achieved by applying one of lean manufacturing technique which name is "value stream mapping" at a textile manufacturing company and to contribute to the literature.

Kuşakcı, Ali Osman

Araştırma projeleri

Organizasyon Birimleri

Adı Soyadı

İlgi Alanları

Kurumdaki Durumu

Filtreler

Yazar

Konu

Tarih

İndeks

WoS Q

Scopus Q

Dil

Tür

Kategori

Bölüm

Erişim Hakkı

Tam Metin

Öğe Türü

Ayarlar

Sırala

Sayfa Başına Sonuç

Arama Sonuçları