Kuşakcı, Ali Osman

Profil fotoğrafı
 E-posta Adresi
aliosman.kusakci@ihu.edu.tr
ORCID Profili
0000-0003-1411-0369
WoS Profili
AAG-5110-2019
Scopus Profili
55330793300
YÖK Araştırmacı Profili
43DD5E590083C016
Google Akademik Profili
YZi-UJQAAAAJ&hl=tr&oi=ao
TR-Dizin Profili
720523
Web Sitesi
akademik.ihu.edu.tr/tr/aliosman-kusakci

Araştırma projeleri

Organizasyon Birimleri

Organizasyon Birimi Logosu
Organizasyon Birimi
Yönetim Bilimleri Fakültesi, İşletme Bölümü
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

Filtreler

2018 - 201992020 - 202522
Filtreleri Sıfırla

Ayarlar

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Arama Sonuçları

Listeleniyor 1 - 10 / 31
  • Küçük Resim
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    The critical success factors of erp selection and implementation: a case study in logistics sector
    (Collaboration, 2018) Kuşakcı, Ali Osman; Kuşakcı, Ali Osman; Yıldırım, Volkan; Kuşakcı, Ali Osman; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    Today’s competitive business environment requires much greater interaction between customer and business. This means that the organization must be closely linked to both supplier and customer in order to produce goods and provide faster deliveries. In order to achieve this, the organizations need to have efficient planning and control systems in all the processes of the organization. In this case, information technology is one of the sources which organizations can apply. Especially, Enterprise Resource Planning (ERP) is just at the heart of daily operations of a company, which leads to efficient processes. In this study, how Enterprise Resource Planning (ERP), which enables such sources as workforce, machine and materials needed for the production of goods and services in organizations to be used efficiently, was founded and the problems that organizations face with during foundation were explained. In the study, qualitative analysis method was used. At the end of the study, problems during implementation of ERP system was determined and suggestions regarding to the solutions were presented.
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    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.
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    Biyoyakıt tedarik zinciri ağ tasarımı çalışmaları için özdüzenleyici haritalar ile bir literatür taraması
    (Süleyman Demirel Üniversitesi Mühendislik Fakültesi, 2020) Kuşakcı, Ali Osman; Kuşakcı, Ali Osman; Öztürk, Fatih; Kuşakcı, Ali Osman; Ayvaz, Berk; Karakoç, Melike; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    Son yıllarda çevre dostu yenilenebilir enerji kaynaklarına ilgi artmaktadır. Ülkemizde Enerji Piyasası Düzenleme Kurumu (EPDK) tarafından, 2013 yılından itibaren benzine ve motorine yerli katkı olarak, oranları her yıl arttırılmak üzere biyodizel ve etanol ilave zorunluluğu getirilmiştir. Bu da yenilenebilir enerji kaynakları için etkin ve optimal yeşil tedarik zinciri ağı tasarımı çalışmalarının yapılmasını gerekli kılmaktadır. Bu bağlamda karar vericiler, ekonomik gelişme sağlayan, çevre hassasiyeti olan ve sosyal refahı sağlayan sürdürülebilir çözümler üretmek için biyoenerji, rüzgâr, güneş, dalga, gelgit vs. gibi yenilenebilir enerjilere odaklanmışlardır Bu çalışmada biyoyakıtların tedarik zinciri ağ tasarımları ile ilgili yapılmış geçmiş çalışmalara yer verilmiş ve çalışmalar; amaçları, karar değişkenleri, kısıtları, kullanılan optimizasyon metodu ve sonuçları açısından analiz edilerek değerlendirilmiştir. İncelenen çalışmalar, yapay sinir ağlarının özel bir çeşidi olan öz düzenleyici haritalar (Self Organizing Maps-SOM) yöntemi kullanılarak kümelenmiş ve literatürdeki boşluklar tartışılmıştır. Literatürün incelemesi ve çalışmaların kümelenmesini içeren bu makale, biyoyakıt tedarik zinciri ağ tasarımı ile ilgili çalışma yapacak araştırmacılar için yol gösterici niteliktedir.
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    Adapting social media strategies: a comparative analysis of Turkish Airlines, Qatar Airways, and Emirates before, during, and after the COVID-19 Pandemic
    (Bussecon International Academy, 2023) Kim, Tatyana; Kuşakcı, Ali Osman
    In recent years, the aviation industry has transformed significantly, driven by the increasing importance of digital technologies and social media for communication and marketing. The COVID- 19 pandemic accelerated this transformation, posing unprecedented challenges to airlines. The present study investigates how Turkish Airlines, Qatar Airways, and Emirates adapted their social media strategies before, during, and after the pandemic. The research has a threefold focus: (i) assessing pre- pandemic social media strategies, (ii) examining strategy evolution during the pandemic, and (iii) comparing the effectiveness of these strategies before and after COVID-19. By exploring how these airlines leveraged social media to navigate pandemic-related disruptions and maintain vital connections with passengers, this study provides valuable insights. These findings hold significant implications for aviation stakeholders, marketing professionals, and researchers, shedding light on the evolving role of social media in crisis communication and marketing. The study uncovered interesting changes in how airlines use Twitter. After the pandemic, they started using more emojis, and their messages shifted from promoting services to expressing hope during the pandemic and back to promotions afterward. They played with visuals and hashtags. Pricing-wise, they offered discounts for students, different ticket options, and bundled services. In promotions, they focused on being environmentally and socially responsible, user convenience, and specific events. They mainly shared updates on flights, achievements, and travel advice. To engage people, they used quizzes, replied directly to customers, and targeted specific groups. For marketing managers, the study suggests being more customer-focused, emphasizing environmental and social responsibility, offering diverse pricing, celebrating milestones, and creating engaging content. Overall, the findings provide practical insights for adjusting marketing strategies in the ever-changing world of airlines, especially considering the challenges brought by COVID-19.
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    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.
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    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.
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    Biyodizel yakıtlar için çok önemli tedarik zinciri ağ tasarımı: Türkiye örneği
    (Gazi Üniversitesi, 2018) Kuşakcı, Ali Osman; Kuşakcı, Ali Osman; Karakoç, Enis Barış; Ayvaz, Berk; Kuşakcı, Ali Osman; Öztürk, Fatih; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    Dünya üzerindeki tüketilmekte olan enerjinin büyük çoğunluğu yenilenemez enerji kaynaklarından olan fosil yakıtlardan elde edilmektedir. Uluslararası Enerji Ajansı’nın(UEA) verilerine göre dünya üzerindeki artan petrol talebini karşılayabilecek petrol rezervi 1,7 trilyon varil civarında olup bu miktar yaklaşık 51 yıllık tüketimi karşılayabilmektedir. Tüm fosil yakıtlar gibi petrolün de yanma esnasında açığa çıkardığı zararlı gazların etkisiyle çevre kirliliğine ve küresel ısınmaya yol açtığı bilinen bir gerçektir. Bu nedenle alternatif enerji kaynakları yakın gelecekte daha büyük önem kazanacaktır. Alternatif enerji kaynakları araştırıldığında Biyokütle enerjisinin öneminin büyüklüğü görülmektedir. Biyodizel, fosil yakıtlar için olabilecek en iyi ikame yakıt türü olmasından dolayı en çok kullanılan sıvı biyoyakıtlardandır. Biyoyakıtların üretilmesi ve yenilenebilir enerjiler arasında önemli bir yere sahip olabilmesi için ilk aşamada maliyet etkin bir tedarik zinciri tasarlanması gerekmektedir. Bu çalışmada biyodizel tedarik zinciri ağ tasarımı için maliyet minimizasyonu amaçlayan bir çok periyotlu karma tamsayılı doğrusal programlama modeli geliştirilmiştir. Geliştirilen model; tesis lokasyon seçimi, biyorafineride kullanılacak uygun teknoloji ve malzeme akış miktarı gibi karar değişkenlerini içermektedir. Bu çalışmanın en önemli özgün katkısı mevcut yazın taramamıza göre konu ile ilgili Türkiye’de uygulaması yapılmış ilk çalışma olmasıdır. Geliştirilen modelin geçerliliğini test etmek için Türkiye‘de biyodizel tedarik zinciri ağ tasarımı probleminin gerçek veriler kullanılarak çözümü yapılmıştır.
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    The evaluation of operational efficiencies of Turkish airports: An integrated spherical fuzzy AHP/DEA approach
    (Elsevier, 2022) Hacıoğlu, Ümit; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Hacıoğlu, Ümit; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Aksoy, Mine; Hacıoğlu, Ümit; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    The demand for air transport services has significantly increased around the globe, which has brought new investments in airports, which, in turn, requires in-depth efficiency analysis of these capital-intensive endeavors. This study examines the operational efficiencies of 46 Turkish civil airports from 2015 to 2018. We employ a novel hybrid methodology that combines Spherical Fuzzy Sets based Analytic Hierarchy Process (SFS-AHP) and Data Envelopment Analysis (DEA), which provides a solid basis for efficiency analysis. To this end, it can handle the hesitancy and uncertainty that the subjective evaluation process of input and output factors possess. Then, we use Self Organizing Maps (SOM), a machine learning method for clustering, to examine the effect of outlier airports on the efficiency scores. Finally, a posthoc analysis is conducted with Tobit regression model to assess the explanatory power of external factors on the efficiency scores, i.e., tourism potential, number of international flights, distance to the city center, population, public/private ownership, and age of airport. The findings show that 67.2% of the Turkish airports operate below the optimal efficiency level, and 93.5% of them should make considerable efforts to refine their operations by implementing managerial and structural changes to reduce input factors. The results also suggest that the airports located in high-density touristic areas achieve higher efficiency levels. Those relatively closer to the city center lead to more airport traffic, generating more revenues. Thus, both factors have a significant impact on efficiency scores. The study provides a novel efficiency analysis framework for airport operators and policy makers that helps them make informed decisions.
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    Impact of social sustainability on supply chain performance with mediating effect of differentiation: The case of Moroccan manufacturing firms
    (Inderscience Enterprises, 2022) Kuşakcı, Ali Osman; Elaiche, Aicha; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    This study examines the relationship between social sustainability practices (SSPs) and supply chain performance (SCP) indicators in the context of Moroccan manufacturing companies with a three-step research methodology. Among the various supply chain KPIs used in the literature, the three most preferred by supply chain experts were selected with interval type-2 fuzzy AHP (IT2F-AHP) method, which offers an accurate approach in subjective decision-making situations. Afterwards, the data collected with the developed instrument were evaluated using the structural equation modelling (SEM) technique. Lastly, in order to understand the nature of the inferred relationship, the moderating role of differentiation, as a competitive advantage strategy, was assessed. The findings obtained show that there is a significant relationship between social sustainability and SCP for the Moroccan manufacturing sector, which may inspire further research in other developing markets. Additionally, it has been found that differentiation has a total mediation effect on the two aforementioned constructs' relationship.
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    Assessment of sustainable aviation fuel production methods using a hybridized decision-making framework
    (Ankara Yıldırım Beyazıt Üniversitesi, 2024) Ibrahim, Ibrahim Temam; Kuşakcı, Ali Osman; Abdullah, Amna; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    Sustainable aviation fuels (SAF) present a feasible solution to decarbonize modern aviation. Unlike traditional jet fuels, SAFs are produced in a variety of ways, thereby choosing one of these processes is a complicated Multi-Criteria Decision Making (MCDM) challenge that involves conflicting priorities. This study evaluates SAF production processes using a multicriteria methodology, PROMETHEE II. With SAF technology in its nascent stage and limited data, several stakeholders in the aviation sector were enlisted to assist in the collection of data and preferences. The suggested framework’s strength lies in its adaptability to suit the subjective opinions of diverse stakeholders, selection of a ranking system, and robustness of outcomes. This research engaged stakeholders in a participatory manner to rank 11 (A1 to A11) SAF production paths based on 24 parameters categorized into social, environmental, economic, and technological evaluation criteria. Industry professionals were given a form to rate SAF production methods according to a performance criterion. Data is validated using fuzzy TOPSIS, fuzzy VIKOR, and PROMETHEE II to reduce professionals’ judgmental personal prejudice. Results indicate the optimal feedstock for SAF production is the direct transition process of CO2 to SAF (A11) in the gasification or Fischer-T synthesis group.