Kuşakcı, Ali Osman

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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

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Listeleniyor 1 - 10 / 20
  • Yayın
    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.
  • Yayın
    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.
  • Yayın
    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".
  • Yayın
    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.
  • Yayın
    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.
  • Yayın
    Efficiency analysis of major airlines: Exploring the operational performance determinants in aviation
    (Springer, 2024) Yalçın, Kübra Çınar; Kuşakcı, Ali Osman; Tatoğlu, Ekrem
    This paper evaluates the performances and dynamics of productivity changes of 38 airlines from different regions of the world between 2015 and 2019, assessing the effects of business model, alliance membership, the economic development level of the home country, and size on the operational performance of the airlines. In this regard, first, constant returns to scale (CRS) and variable returns to scale (VRS) input-oriented data envelopment analysis (DEA) models with three inputs and two outputs are implemented. The input-oriented CRS model super-efficiency DEA is also used to discriminate between efficient airlines. The Malmquist Productivity Index (MPI) estimates efficiency dynamics across time. Further, the determinants of operational efficiencies are assessed by applying Mann-Whitney rank-sum tests. The analysis results show that most airlines suffer from scale inefficiency. MPI signifies productivity deterioration in airlines’ performance. It is found that low-cost carriers (LCC) have performed better than full-service carriers and alliance member airlines are less efficient than non-member airlines. Additionally, developed country airlines show better performance than their emerging country counterparts. Lastly, the size of airlines measured in available seat kilometers (ASK) is found to have no statistically significant effect on performance.
  • Yayın
    Integrated modelling for sustainability assessment and decision making of alternative fuel buses
    (Elsevier, 2023) Kuşakcı, Ali Osman; Kuşakcı, Ali Osman; Elagouz, Noura; Onat, Nuri Cihat; Kucukvar, Murat; Ayvaz, Berk; Kutty, Adeeb A.; Kutty, Adeeb A.; Kuşakcı, Ali Osman; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    In this paper, a hybrid life cycle sustainability assessment (LCSA) model integrating multi region input–output analysis with novel multi-criteria decision-making techniques is proposed to assess three different fuel alternatives: compressed natural gas (CNG), electric buses (EBs), and diesel buses (DBs). A global hybrid LCSA model first quantified the environmental, economic, and social impacts of alternative fuel buses. The results were investigated in terms of multiple combinations of manufacturing and end-of-life scenarios by encompassing impacts embedded in the global supply chains taking Qatar as a case applied to the proposed model. The Interval-Valued Neutrosophic Fuzzy (IVNF)-Analytic Hierarchy Process with the Combined Compromise Solution (CoCoSo) approach is used to rank the alternative fuel buses based on their corresponding sustainability performance. The proposed model will help in quantitatively capturing the macrolevel life cycle socioeconomic and environmental impacts along with optimally selecting alternatives to support sustainable urban transport policy towards a net-zero transportation system globally.
  • Yayın
    Lean service operations and a lean management application at a foundation university
    (Universitas Islam Indonesia, 2022) Kuşakcı, Ali Osman; Mira, Almohanad; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    Lean service operations and lean management are of vital importance for all service providers as much as manufacturers. Unfortunately, most universities need to be made aware of the concept of lean. However, they can benefit from lean management in all their service areas, such as admissions, administration of research funds, hiring, and nearly any functional area where multi-step processes can be simplified and focused on the needs of the users served by the organization. Lean methodologies focus on reducing waste (Muda in Japanese), remov-ing overburden (Muri in Japanese), and unnecessary variation (Mura in Japanese). Non-value-added activities are eliminated or dealt with to develop the performance of the process. This study aims to highlight the suitability of lean in a university environment to enhance the effi-ciency of the operational tasks performed and provide suggestions for better performance. Lean methodologies were applied to the School of Graduate Studies at a Turkish university to study the current state of the process and provide recommendations and alternatives for the current issues faced using Value Stream Mapping (VSM). As a result, Value-Added and Non-Value-Added activities were identified with Indicative Ratios to compare the performance before and after applying lean. In the end, seven questions were answered to develop a proposal for the future state of the process, which was presented to the university management
  • Yayın
    A digital transformation maturity model for the airline industry with a self-assessment tool
    (Elsevier, 2022) Kuşakcı, Ali Osman; Kıyıklık, Ayşe; Mbowe, Baboucarr; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    The technological habitat in which successful firms may flourish is in rapid change. With digital transformation (DT), everything is connected and interdependent. Manual processes are now automated for most businesses. As a result, habits, and needs are changing, which, in turn, affects the conventional way firms offer their goods and services. Airlines are eager to participate in the trend as well. Those who adapt quickly to this new world will gain a greater share of the pie. However, most airlines have bulky and rigid systems designed based on the industry’s strict rules and regulations. Thus, the transformation process required to adapt to the new era of digitalization is not a simple task. Several interrelated factors, such as strategy, organization, customer, technology, operations, ecosystem, and innovation, have to be redefined to conceptualize a valid and functioning business framework. On the other hand, connectivity and accessibility are the game’s name from the passengers’ perspective. Acknowledging the necessities of the new era, the aim of this study is two-fold: (i) to highlight the essence of DT by examining the role of DT’s sub-dimensions in the civil airline industry, (ii) and propose a Digital Transformation Maturity (DTM) self-assessment tool for determining the DT maturity level of airline firms. The former is assessed by the judgments of aviation experts using Interval Type-2 Fuzzy AHP (IT2F-AHP), while the second stage was done with a survey in an airline company. According to the results, the digital strategy and the technology are highlighted as the most prominent dimensions of the proposed DTM tool. DTM evaluation of the selected airline reveals that the company is on the right path, with an overall score of 62 in its DT journey. However, some clear improvement opportunities are visible.
  • Yayın
    A simulation approach for aircraft cargo loading considering weight and balance constraints
    (Busssecon International, 2021) Kuşakcı, Ali Osman; Agbas, Erdem; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    Air cargo transport is a growing industry in parallel with the growth in world trade and e-commerce. The global air cargo transport traffic getting busier, the importance of timely loading with minimum error is increasing. Therefore, digitalization of the air cargo loading process is needed. Assignment of Unit Load Devices (ULDs) to the specific positions on the freighter is performed by loadmasters by manual or semi-manual methods. This study aims to design a simulation model, which performs the ULD assignment automatically by simulating the loading process performed by the experienced loadmasters under the weight and balance constraints. The SEMMA (sample, explore, modify, model, assess) model is used while generating the simulation model. Fifty real-world loading orders were used to assess the performance of the model. The ULD assignment process by the simulation model and the loadmasters using semi-manual loading were compared with regard to time and center of gravity performance indicators. The results demonstrated that the simulation model can load all the given sets of ULDs, as efficiently as a loadmaster with a similar center of gravity in a shorter period of time. In conclusion, the proposed simulation model provides an efficient solution to the ULD assignment problem. However, the base model generated may be improved to address various real-world scenarios.