Rankıng value-creatıng green approach practıces and choosıng ıdeal green marketıng strategy for logıstıcs companıes

Karamaşa, Çağlar; Ergün, Mustafa; Gülcan, Bayezid; Korucuk, Selçuk; Memiş, Salih; Vojinović, Dragan; Herzegovina,

doi:10.31181/oresta20402021k

Cited by 8 publications

(7 citation statements)

References 24 publications

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“…Given the fact described in the previous conclusion that the first criterion (in terms of importance) has a very high value, then the alternative that has the best performance according to that criterion is automatically preferred. (6) If there is a large set of criteria, the last ranked tends toward zero, which means that there is no impact on decision making. (7) In previous sections, it has been proven through examples that the application of inadequate linguistic scale in the fuzzy SWARA method proposed by the authors in the development of this method contributes to erroneous decision making in multi-criteria problems, because there are large changes in alternative ranks.…”

Section: Discussionmentioning

confidence: 99%

“…If we add to this the increasing presence of uncertainty and the need for more precise decision making, then decision makers are faced with an extremely difficult task. The field of MCDM is one of the most developed areas of operational research which, due to a large number of methods, finds its application every day in various fields: supply chain management [1,2] construction [3,4], marketing [5,6], logistics [7,8], financial management applications [9,10], and many others [11][12][13]. In conditions when there is a constant search for better, faster, and more efficient solutions, it is unacceptable to apply approaches that make wrong decisions because, in that way, a chain of negative values is created.…”

Section: Introductionmentioning

confidence: 99%

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Objective Criticism and Negative Conclusions on Using the Fuzzy SWARA Method in Multi-Criteria Decision Making

Stević

Das

Tešić³

et al. 2022

Mathematics

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The quality of output or decision-making depends on high-quality input data, their adequate evaluation, the application of adequate approaches, and accurate calculation. In this paper, an objective criticism of applying the fuzzy SWARA (step-wise weight assessment ratio analysis) method based on the Chang TFN (triangular fuzzy number) scale is performed. Through research, it has been noticed that a large number of studies use this approach and, as an epilogue, there are wrong decisions based on inconsistent values in relation to the initial assessment of decision-makers (DMs). Seven representative studies (logistics, construction industry, financial performance management, and supply chain) with different parameter structures and decision matrix sizes have been singled out. The main hypothesis has been set, which implies that the application of this approach leads to wrong decisions because the weight values of the criteria are incorrect. A comparative analysis with the improved fuzzy SWARA (IMF SWARA) method has been created and a number of negative conclusions has been reached on using the fuzzy SWARA method and the Chang scale: Primarily, that using such an approach is impossible for two or more criteria to have equal value, that allocating TFN (1,1,1) leads to criteria values that are inconsistent with expert evaluation, that the last-ranked criteria in the fuzzy SWARA method have no influential value on the ranking of alternatives, that there is a great gap between the most significant and last-ranked criteria, and that the most significant criterion has a huge impact on the evaluation of alternative solutions and decision making. As a general conclusion, it is given that this approach is not adequate for application in problems of multi-criteria decision making because it produces inadequate management of processes and activities in various spheres.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Objective Criticism and Negative Conclusions on Using the Fuzzy SWARA Method in Multi-Criteria Decision Making

Stević

Das

Tešić³

et al. 2022

Mathematics

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“…(2020) evaluated green logistics by developing a mixed-integer linear programming model. Karamaşa et al. (2021) ranked value-creating green approach practices in logistics companies and selected the ideal green marketing strategy using the integrated entropy and multiattribute utility theory (MAUT) method.…”

Section: Literature Surveymentioning

confidence: 99%

Assessment of ideal smart network strategies for logistics companies using an integrated picture fuzzy LBWA–CoCoSo framework

Korucuk

Ayteki̇n²,

Ecer³

et al. 2022

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PurposeNowadays, 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, Gümüshane, 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/approachThis 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.FindingsAccording 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/valueThis 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 Gümüshane. 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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“…It is helpful to review the literature on MCDM and sorting methods in this context. Decision-makers obtain selection, ranking, elimination, definition, design, or classification results by solving MCDM (Zakeri et al, 2021;Karamas ¸a et al, 2021). Classification problems are solved by assigning predetermined classes or groups in MCDM methods.…”

Section: Foreign Market Selectionmentioning

confidence: 99%

“…Decision-makers obtain selection, ranking, elimination, definition, design, or classification results by solving MCDM (Zakeri et al. , 2021; Karamaşa et al. , 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Foreign market selection of suppliers through a novel REF-Sort technique

Ayteki̇n

Görçün

Ecer

et al. 2022

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PurposeThe 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 decision-makers evaluate and select appropriate countries in the expansion process of the global supply chains and reduce risks concerning country (market) selection.Design/methodology/approachThe 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.FindingsThe 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 decision-making tools to make more reasonable and logical decisions concerning country selection.Originality/valueThe 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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Rankıng value-creatıng green approach practıces and choosıng ıdeal green marketıng strategy for logıstıcs companıes

Cited by 8 publications

References 24 publications

Objective Criticism and Negative Conclusions on Using the Fuzzy SWARA Method in Multi-Criteria Decision Making

Objective Criticism and Negative Conclusions on Using the Fuzzy SWARA Method in Multi-Criteria Decision Making

Assessment of ideal smart network strategies for logistics companies using an integrated picture fuzzy LBWA–CoCoSo framework

Foreign market selection of suppliers through a novel REF-Sort technique

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