Browsing by Author "Büyüközkan, G."
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Conference ObjectPublication Metadata only Analysis of success factors in aviation 4.0 using integrated intuitionistic fuzzy MCDM methods(Springer, 2020) Büyüközkan, G.; Feyzioğlu, O.; Havle, Celal Alpay; Professional Flight Program; Kahraman, C.; Cebi, S.; Onar, S. C.; Oztaysi, B.; Tolga, A. C.; Sari, I. U.; HAVLE, Celal AlpayRecently, emerging digital technologies have launched digital transformation, and it has become a factor that determines the competitiveness of companies, their performance, and digital sustainability. At this point, the aviation industry is one of the areas where digital transformation applications are visible. Both airlines and airports have initiated their digital transformation processes. Just like industry 4.0, the period of aviation 4.0 including airline 4.0 and airport 4.0 has started. Hence, the success of the companies in the aviation industry has become extremely important for their sustainability in terms of aviation 4.0. The aim of this study is then to analyze the success factors of aviation 4.0. The factors are obtained via the literature survey and expert opinions. An integrated approach is used based on intuitionistic fuzzy multi-criteria decision making (IF MCDM) techniques. The weights of the success criteria are calculated by using the IF AHP (Analytic Hierarchy Process). IF VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) method is used for selection of the most successful company among alternatives. IF helps to eliminate the complexity of real-life problems, an uncertainty of decision-making processes and it allows us to consider hesitation and intuition of decision makers.ArticlePublication Metadata only Digital competency evaluation of low-cost airlines using an integrated IVIF AHP and IVIF VIKOR methodology(Elsevier, 2021-03) Büyüközkan, G.; Havle, Celal Alpay; Feyzioğlu, O.; Professional Flight Program; HAVLE, Celal AlpayRecently, low-cost airline (LCA) companies have become more attractive. However, emerging digital technologies have transformed the passengers’ profiles. Digital competency has become a crucial matter to capture digital passenger expectations. Hence, the purpose of the study is to introduce a new digital competency evaluation (DCE) model. The proposed model comprises technology transformation & implementation, and also transformation & adaptation management dimensions, with ten criteria and thirty sub-criteria. Criteria weights are calculated using the IVIF AHP method. The results show that the most significant dimension is transformation and adaptation management. The most digitally competent airline is selected through the IVIF VIKOR method. A case study concerning the LCAs is conducted in Turkey to verify the validity of the proposed model.ArticlePublication Metadata only Digital transformation journey guidance: A holistic digital maturity model based on a systematic literature review(MDPI, 2023-04) Aras, Arzu; Büyüközkan, G.; Aras, ArzuFor a successful digital transformation, organizations must create an accurate roadmap and manage the process effectively. A digital maturity model is a critical success factor as it enables organizations to assess their current situation and create roadmaps aligned with their goals; however, a comprehensive systematic literature review covering the maturity models proposed by academia and consultancy firms is hard to find. Further, the existing models are sector-oriented, not organization-oriented, and do not consider the transformation journey holistically, but instead focus on model dimensions. This study first undertakes a comprehensive and up-to-date systematic literature review by applying the PRISMA approach using a bibliometric analysis tool capable of providing visual maps, then developing a unique holistic digital maturity model that covers several aspects of an organization’s digital transformation journey, from strategy to governance, and asking relevant questions. The hierarchical structure, comprising dimensions and sub-dimensions, presents content beyond the scope of other models. The results of the digital maturity assessment can be interpreted in parallel with the stages of the digital transformation. Consequently, the new holistic and sector-independent digital maturity model can be used by organizations in both the private and public sector.ArticlePublication Metadata only An integrated SWOT based fuzzy AHP and fuzzy MARCOS methodology for digital transformation strategy analysis in airline industry(Elsevier, 2021-10) Büyüközkan, G.; Havle, Celal Alpay; Feyizoğlu, O.; Professional Flight Program; HAVLE, Celal AlpayDriven by business strategies, digital transformation (DT) facilitates dramatic change in air passenger behavior. This study aims to determine and analyze different DT strategies (DTSs) with the help of an integrated SWOT-based fuzzy AHP-MARCOS methodology that is proposed for the first time in the literature for this purpose. This methodology is validated with a case study concerning the airline industry in Turkey. The weights of the SWOT factors are determined with the fuzzy AHP method. The fuzzy MARCOS approach is used to select the most suitable DTS. The most appropriate strategy is obtained as “focusing on differentiated digital customer experience and service quality by the adaptation of business models to DT to provide benefits”.Conference ObjectPublication Metadata only Intuitionistic fuzzy cognitive map based analysis of supply chain risks(Springer, 2021) Büyüközkan, G.; Havle, Celal Alpay; Feyzioğlu, O.; Professional Flight Program; HAVLE, Celal AlpaySupply chains (SCs) are network-like structures and gigantic systems. Such systems are complex and multifaceted. Therefore, they contain many components and risk factors that are directly or indirectly related to each other. The importance of SCs, which has always been important for companies, is increasing day by day. Therefore, it is vital to focus on supply chain management (SCM) and the risk factors encountered in this management process. Plus, the investigation of the cause-effect relationships, evaluation, and analysis of these factors hold a critical role for SCM. Accordingly, this study aims to reveal the risk factors that should be considered in SCM and analyze these factors. Moreover, the causal relationships of these risk factors are aimed to be revealed. For this purpose, Cognitive Map (CM) approach is utilized. The classical CM approach is expanded to the intuitionistic fuzzy (IF) environment and used as the IFCM approach to eliminate the uncertainty and intuition involved in real-life problems and decision-making processes. SC risk factors’ importance degrees and causal relations between the factors are displayed and visualized.Conference ObjectPublication Metadata only Sustainable future technology evaluation with digital transformation perspective in air cargo industry using IF ANP method(Springer, 2023) Havle, Celal Alpay; Büyüközkan, G.; Professional Flight Program; HAVLE, Celal AlpaySustainability is one of the most critical issues of recent years. Many companies that contribute to the global economy focus on sustainability studies more than ever. On the other hand, technological developments lead companies to digital transformation. This situation necessitated the adoption of a sustainability approach that includes digital transformation and digital technologies. Therefore, it is critical for companies embarking on a transformation journey to invest in technologies that support sustainability. Advances in technology and digital transformation have contributed to the growth of e-commerce volume globally. However, this has led to the growth and complexity of supply chain networks. One of the biggest players in this network structure is undoubtedly the air cargo industry. The air cargo industry plays a critical role in the sustainability of the global economy, employment, social development, and the environment. Therefore, this study proposes a new model for the evaluation of sustainable future technologies in the air cargo industry from the perspective of digital transformation. Multi-criteria decision-making (MCDM) approach was adopted in the study. The intuitionistic fuzzy analytical network process (IF ANP) is used to validate the proposed model in a real case conducted in the Turkish air cargo industry.