Yazar "Ecer, Fatih" seçeneğine göre listele

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    Assessing green approaches and digital marketing strategies for twin transition via fermatean fuzzy SWARA-COPRAS
    (MDPI, 2022) Korucuk, Selçuk; Aytekin, Ahmet; Ecer, Fatih; Karamaşa, Çağlar; Zavadskas, Edmundas Kazimieras
    Integrating green approaches and digital marketing strategies for Information and Communication Technologies (ICTs), which reduce environmental risks to desired levels by eliminating emissions and pollution, is considered one of the most promising solutions for logistics companies. The study strives to bring a practical and applicable solution to the decision problem involving the selection of indicators for green approaches and digital marketing strategies for ICTs in the logistics sector. An integrated Fermatean Fuzzy Step-wiseWeight Assessment Ratio Analysis (FF–SWARA) and Fermatean Fuzzy Complex Proportional Assessment (FF–COPRAS) methodology is applied to evaluate green approaches and digital marketing strategies. Concerning the findings, the foremost criterion is “data management,” whereas the best strategy is “programmatic advertising.” To the best of the authors’ knowledge, there is no other study that both offers a strategy selection for the logistics industry and considers environmental protection, sustainability, digital transformation, energy costs, and social and economic factors. The study is a part of ongoing research on productivity, sustainability, the environment, digitization, recycling and estimating levels of waste reduction, as well as business practices, competitiveness and ensuring employee satisfaction and resource efficiency. Also, it investigates the similarities and dissimilarities in the green approach practices of business in logistics and determines the extent to which these practices could be reflected. It is expected to ensure a roadmap for green approach practices and to support sustainable and ecological awareness efforts for ICTs in the logistics sector. Logistics companies can select an integrated digital strategy based on green informatics that suits them using the decision model employed in this study, which can handle uncertainties effectively. In this regard, the study’s findings, which focus on reaching customers and the most precise target audience in digital applications for businesses, are critical for developing strategy, plan and process.
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    Assessment of ideal smart network strategies for logistics companies using an integrated picture fuzzy LBWA-CoCoSo framework
    (Emerald Group Publishing LTD., 2022) Korucuk, Selçuk; Aytekin, Ahmet; Ecer, Fatih; Pamucar, Dragan Stevan S.; Karamaşa, Cağlar
    Purpose Nowadays, companies have required new alternatives and strategies to handle environmental sustainability difficulties, primarily as ecological and social awareness has grown. In this context, the aim is to determine the green transportation indicators in companies with corporate identity and logistics activities at the international level in Giresun, Ordu, Gumushane, Artvin, Rize, and Trabzon in the Eastern Black Sea Region in Turkey. At the same time, the study contributes to providing an effective and applicable solution to decision-making problems involving the assessment of green transportation indicators and smart network strategies in the logistics sector, which is a critical sector for countries. The purpose of this paper is to address these issues. Design/methodology/approach This study aims to propose a model for the selection of smart network strategy and to determine the criteria weights used in green transportation indicators, and establish an ideal smart network strategy. In achieving the outlined goals of the study, the authors believe that the model proposed in the study will draw the focus to green logistics which will aid the environmental, economic and social efforts of businesses and governments through the provision of efficient use of scarce resources, which will, in turn, ensure that we leave a sustainable environment for future generations and businesses enjoy a competitive advantage. At the same time, different smart network strategies and green transportation indicators in companies show the success rate of social, economic and environmental indicators in green logistics practices. In addition to providing innovative, reliable and sustainable transportation systems, smart network strategies are critical for businesses to create cost advantages. Through the green transportation indicators and smart network strategies selection model outlined in this study, it is clear that the contribution will not only be limited to businesses, as the society and governments will also benefit from the important indicators on sustainability, as well as the protection of the environment and nature. Findings According to the findings, "economic indicators" is the essential green transportation indicator in logistics companies with a corporate identity and worldwide transportation operations. Besides, the "mixed access model strategy" is the most appropriate smart network strategy in logistics firms with corporate identity and worldwide transportation activities. Currently, it is possible to assume that logistics organizations prefer to profit from all smart network strategies in terms of cost optimization and competitiveness rather than from just one. The study, on the other hand, which is a road map that will help sustainability practices in the logistics sector due to green transportation, also examines the similarities and differences of green transportation practices in companies in the relevant sector and to what extent they can be reflected. As a result, the study provides a practical road map for selecting green transport indicators and a smart network strategy process for the logistics industry. Originality/value This study examined logistics companies with a corporate identity and international transportation activities in provinces in the Eastern Black Sea Region such as Ordu, Giresun, Trabzon, Rize, Artvin and Gumushane. Novel picture fuzzy level based weight assessment (PF-LBWA) and picture fuzzy combined compromise solution (PF-CoCoSo) methods are developed to solve the decision-making problem.
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    Evaluation of the pharmaceutical distribution and warehousing companies through an integrated Fermatean fuzzy entropyWASPAS approach
    (Emerald Group Holdings Ltd., 2022) Aytekin, Ahmet; Görçün, Ömer Faruk; Ecer, Fatih; Pamucar, Dragan; Karamaşa, Çağlar
    Purpose – Pharmaceutical supply chains (PSCs) need a well-operating and faultless logistics system to successfully store and distribute their medicines. Hospitals, health institutes, and pharmacies must maintain extra stock to respond requirements of the patients. Nevertheless, there is an inverse correlation between the level of medicine stock and logistics service level. The high stock level held by health institutions indicates that we have not sufficiently excellent logistics systems presently. As such, selecting appropriate logistics service providers (drug distributors) is crucial and strategic for PSCs. However, this is difficult for decision-makers, as highly complex situations and conflicting criteria influence such evaluation processes. So, a robust, applicable, and strong methodological frame is required to solve these decision-making problems. Design/methodology/approach – To achieve this challenging issue, the authors develop and apply an integrated entropy-WASPAS methodology with Fermatean fuzzy sets for the first time in the literature. The evaluation process takes place in two stages, as in traditional multi-criteria problems. In the first stage, the importance levels of the criteria are determined by the FF-entropy method. Afterwards, the FF-WASPAS approach ranks the alternatives. Findings – The feasibility of the proposed model is also supported by a case study where six companies are evaluated comprehensively regarding ten criteria. Herewith, total warehouse capacity, number of refrigerated vehicles, and personnel are the top three criteria that significantly influence the evaluation of pharmaceutical distribution and warehousing companies. Further, a comprehensive sensitivity analysis proves the robustness and effectiveness of the proposed approach. Practical implications – The proposed multi-attribute decision model quantitatively aids managers in selecting logistics service providers considering imprecisions in the multi-criteria decision-making process. Originality/value – A new model has been developed to present a sound mathematical model for selecting logistics service providers consisting of Fermatean fuzzy entropy and WASPAS methods. The paper’s main contribution is presenting a comprehensive and more robust model for the ex ante evaluation and ranking of providers.
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    Foreign market selection of suppliers through a novel REF-Sort technique
    (Emerald Group Publishing Ltd, 2022) Aytekin, Ahmet; Görçün, Ömer Faruk; Ecer, Fatih; Pamucar, Dragan; Karamaşa, Çağlar
    Purpose – The present study aims to provide a practical and robust assessment technique for assessing countries’ investability in global supply chains to practitioners. Thus, the proposed approach can help decisionmakers evaluate and select appropriate countries in the expansion process of the global supply chains and reduce risks concerning country (market) selection. Design/methodology/approach –The present study proposes a novel decision-making approach, namely the REF-Sort technique. The proposed approach has many valuable contributions to the literature. First, it has an efficient basic algorithm and can be applied to solve highly complicated decision-making problems without requiring advanced mathematical knowledge. Besides, some characteristics differentiate REF-Sort apart from other techniques. REF-Sort employs the value or value range that reflects the most typical characteristic of the relevant class in assignment processes. The reference values in REF-Sort and center profiles are similar in this regard. On the other hand, class references can be defined as ranges in REF-Sort. Secondary values, called successors, can also be employed to assign a value to the appropriate class. REF-Sort can also determine the reference and successor values/ranges independently of the decision matrix. In addition, the proposed model is a maximally stable and consistent decision-making tool, as it is resistant to the rank reversal problem. Findings –The current papers’ findings indicate that countries have different features concerning investment. Hence, the current paper pointed out that only 22% of the 95 countries are investable, whereas 19% are risky. Thus, decision-makers should make detailed evaluations using robust, powerful, and practical decisionmaking tools to make more reasonable and logical decisions concerning country selection. Originality/value – The current paper proposes a novel decision-making approach to evaluate. According to the authors’ information, the proposed model has been applied to evaluate investable countries for the global supply chains for the first time
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    Global innovation efficiency assessment of EU member and candidate countries via DEA-EATWIOS multi-criteria methodology
    (Elsevier Ltd, 2022) Aytekin, Ahmet; Ecer, Fatih; Korucuk, Selçuk; Karmaşa, Çağlar
    Globalization and changing levels of competition highlight the importance of innovation and innovation management, as well as their efficiency, as a critical economic factor for countries. In fact, the perspectives on innovation effectiveness are seen as essential success factors in achieving economic prosperity and competing in the markets. Global innovation efficiency, which is vital for both the European Union member and candidate countries and one of the determinants of the competitive process throughout the world, helps the economies catch up with the developing and changing technology while revealing the innovation perspectives of the countries. The aim of this study is to examine and compare the global innovation efficiency that can be considered as crucial economic factor for European Union member and candidate countries by using the Global Innovation Index (GII), published jointly by Cornell University and WIPO in 2020 in terms of innovation inputs and outputs. Data Envelopment Analysis (DEA) and Efficiency Analysis Technique with Input and Output Satisficing (EATWIOS) methods are applied for comparison. According to the study’s findings, the Netherlands, Germany, and Sweden are obtained as the most important countries in terms of global innovation efficiency. Nevertheless, Lithuania, Greece, and North Macedonia have been ranked as the last three inefficient countries. Further, some suggestions are made to eliminate the deficiencies of non-innovative countries.