Purpose – logistics creates a strategic effect by playing a facilitating role in international trade, which has a significant impact on the economic performance of countries. Logistics performance ...and corruption play an influential role in determining the trade efficiency levels of developing countries. There are two purposes in this research. First purpose is to determine the international trade efficiency level of developing countries based on logistics performance. The second purpose is to determine the efficiency level of trade based on both logistics performance and corruption levels.
Research methodology – output-oriented data envelopment analysis (DEA) has been applied in the research. The research covers the years 2012–2020. The sample area is developing countries.
Findings – countries with full efficiency levels in 2012–2020 have been determined according to both logistics performance and corruption scores.
Research limitations – the research covers the years 2012–2020. The sample area is developing countries.
Practical implications – the reduction of corruption levels in some developing countries is an important factor in increasing the level of international trade efficiency.
Originality/Value – this research highlights the role of corruption in the relationship between trade and logistics performance.
Today, the establishment of strong supply chain structures should be supported by a strong human resources management approach, as well as encompassing environmentalist and innovative approaches. At ...this point, this study has two main aims that include these requirements. The first aim is to determine whether the green human resources management (GHRM) of companies operating in the automotive industry has a direct impact on green supply chain management (GSCM). The second aim is to determine whether green product innovation (GPI) has a mediating effect in the relation GHRM and GSCM. Structural equation modelling is used to test the developed hypotheses. GHRM of automotive companies operating in Turkey has a significant positive effect on GSCM. In addition, GPI has a full mediating role in the relationship between GHRM and GSCM. Green-oriented should be establishment in the supply chain structures. Green-oriented human resources management approach is necessary to develop a green-oriented SCM. GHRM approach should be strengthened with GPI activities for GSCM.
Purpose- This research has two main purposes. The first purpose is to determine the domestic and international logistics opportunity efficiency levels based on the market potentials of developing ...countries. The second purpose is to determine whether the domestic logistics opportunity (DLO) efficiency of developing countries has a significant effect on the international logistics opportunity (ILO) efficiency.
Methodology - Two basic analysis techniques have been applied in this study. In the first analysis, two output-oriented data envelopment analysis (DEA) models have been developed to determine the DLO and ILO efficiency of developing countries. The data of the input variables are taken from the Market Potential Index (MPI) 2021 report. Data for output variables are taken from the Agility Emerging Markets Logistics Index (AEMLI) 2022 report. In the second analysis, simple regression analysis has been applied to determine the relationship between DLO efficiency and ILO efficiency. The sampling consists of 45 developing countries.
Findings- According to the DEA Model-1, the DLO efficiency of 26 developing countries has been determined at the full efficiency level. 19 countries are not at the full efficiency level. According to the DEA Model-2, the ILO efficiency of 31 developing countries has been determined at the full efficiency level. 14 countries are not at the full efficiency level. According to the simple regression analysis findings, DLO efficiency has a positive and significant effect on ILO efficiency.
Conclusion- It has been determined which country should focus on which input variable for the developing countries that are not at the full efficiency level to reach the full efficiency level. It has been determined that the DLO and ILO efficiency of five countries are different. Empirical evidence has been obtained that the steps to be taken to increase the DLO efficiency will also increase the ILO effectiveness.
Keywords: Domestic logistics opportunity, international logistics opportunity, emerging market potential, DEA, linear regression analysis.
JEL Codes: C67, M31, O57
Purpose- This research has two main purposes. The first purpose is to determine the domestic and international logistics opportunity efficiency levels based on the market potentials of developing countries. The second purpose is to determine whether the domestic logistics opportunity (DLO) efficiency of developing countries has a significant effect on the international logistics opportunity (ILO) efficiency.
Methodology - Two basic analysis techniques have been applied in this study. In the first analysis, two output-oriented data envelopment analysis (DEA) models have been developed to determine the DLO and ILO efficiency of developing countries. The data of the input variables are taken from the Market Potential Index (MPI) 2021 report. Data for output variables are taken from the Agility Emerging Markets Logistics Index (AEMLI) 2022 report. In the second analysis, simple regression analysis has been applied to determine the relationship between DLO efficiency and ILO efficiency. The sampling consists of 45 developing countries.
Findings- According to the DEA Model-1, the DLO efficiency of 26 developing countries has been determined at the full efficiency level. 19 countries are not at the full efficiency level. According to the DEA Model-2, the ILO efficiency of 31 developing countries has been determined at the full efficiency level. 14 countries are not at the full efficiency level. According to the simple regression analysis findings, DLO efficiency has a positive and significant effect on ILO efficiency.
Conclusion- It has been determined which country should focus on which input variable for the developing countries that are not at the full efficiency level to reach the full efficiency level. It has been determined that the DLO and ILO efficiency of five countries are different. Empirical evidence has been obtained that the steps to be taken to increase the DLO efficiency will also increase the ILO effectiveness.
Keywords: Domestic logistics opportunity, international logistics opportunity, emerging market potential, DEA, linear regression analysis.
JEL Codes: C67, M31, O57
Purpose- Courier & Delivery Services (CDS) firms are third-party logistics companies that provide material flow between the manufacturer and the consumer. The operational performance of CDS firms ...determines the success of logistics performance. Trust at work (TW), Knowledge Sharing Behavior (KSB), and Innovative Behavior (IB) are among the variables that affect operational performance (OP). This research purposes to determine the effect of TW, KSB, and IB on operational performance and to decide the finest model structure with hierarchical regression analysis. Design/methodology/approach- This study aims to the effects of trust at work, knowledge-sharing behavior, and innovative behavior on operational performance. With this context, a survey that consists of items about trust at work knowledge sharing behavior, innovative behavior, and organizational performance is used for creating a dataset. In this process, 433 employees of CDS were interviewed face-to-face, via e-mail, and by telephone. 3 model proposals are presented and these models are tested by hierarchical regression analysis. Findings- Proposed Model-3 is the best model structure for explanation TW, KSB, and IB’s effects of on OP. Discussion –To improve the operational performance of CDS companies, trust, knowledge-sharing behavior, and innovative behavior should be considered holistically
Sürdürülebilir tedarik zinciri yapılarının oluşturulabilmesi için doğru tedarikçi seçimi önemlidir. Özellikle çevreye ve insan sağlığına duyarlı tedarikçilerin yani yeşil tedarikçilerin tespit ...edilmesi tedarikçi seçim sürecindeki temel hedefler arasında yer almaktadır. Yeşil tedarikçi seçim (YTS) problemi yoğunlukla çok kriterli karar verme ve çok ölçütlü grup karar verme araştırmalar konusudur. Bu araştırma da bir otel işletmesinin YTS problemi ele alınmıştır. Araştırmada küresel bulanık sayılar kullanılarak “İdeal çözüme benzerliğe göre sıralama tercihi (TOPSIS)” tekniği uygulanmıştır. Araştırma kapsamında üç karar verici, dört alternatif ve dört kriter (Ekonomi, Kalite, Sosyal ve Çevresel kriterler) kullanılmıştır. Küresel bulanık dilsel ifadelere dayalı toplanan veriler Küresel Ağırlıklı Aritmetik Ortalama (SWAM) operatörü ile birleştirilmiş ve kriterler ağırlıklandırılmıştır. Küresel bulanık sayılara dayalı TOPSIS tekniğiyle alternatifler sıralanmıştır. Araştırma bulgularına göre otel işletmesinin YTS kriter ağırlığı en yüksek kriter kalite kriteri olarak, en düşük kriter sosyal kriter olarak belirlenmiştir. Uygulama sonucunda alternatiflerin sıralaması yapılmış ve üçüncü alternatif en iyi alternatif olarak tespit edilmiştir. Araştırmacılara YTS problem çözümünde bulanık sayılarla çok ölçütlü grup karar verme tekniklerinin uygulanması önerilmiştir.
It is important to select the right supplier to create sustainable supply chain structures. Identifying suppliers that are particularly sensitive to the environment and human health, that is, green suppliers, is among the main objectives in the supplier selection process. The green supplier selection (GSS) problem is mostly the subject of multi-criteria decision-making and multi-attribute group decision-making research. In this research, the GSS problem of a hotel business is discussed. Technique for order preference by similarity to ideal solution (TOPSIS) technique was applied by using spherical fuzzy numbers in the research. Within the scope of the research, three decision makers, four alternatives and four criteria (Economic, quality, social and environmental criteria) were used. The collected data based on spherical fuzzy linguistic expressions were combined with the Spherical Weighted Arithmetic Mean (SWAM) operator and the criteria were weighted. Alternatives are ranked by TOPSIS technique based on spherical fuzzy numbers. According to the research findings, the GSS criterion weight of the hotel business was determined as the highest criterion quality criterion and the lowest criterion as social criterion. As a result of the application, the alternatives were ranked, and the third alternative was determined as the best alternative. It has been suggested to the researchers to apply multi-criteria group decision making techniques with fuzzy numbers in solving GSS problem.
Purpose- Customs are the main transit points in cross-border trade activities. Customs logistics activities are carried out by authorized customs brokerage companies (CBC). Export/import companies ...that execute customs clearance with the right CBC partners gain competitive advantage. Therefore, selecting the right CBC is an important decision-making problem. In this research, CBC selection problem is handled with fuzzy-based multi criteria decision-making (MCDM) methods.
Methodology- The research application covers the CBC selection process of an export firm. The criteria for the problem are obtained as a result of the literature review. The opinions of the decision makers are also taken. Seven criteria have been identified. These criteria are cost/price, service quality, information system and technology, flexibility, relationship, professionalism, reputation. Fuzzy-based stepwise weight assessment ratio analysis (F-SWARA) method is used for criterion weighting. In order of alternatives, ranking of alternatives through functional mapping of criterion sub-intervals into single interval (F-RAFSI) method is applied. Four decision makers are used to compare the criteria.
Findings- Four CBC alternative rankings based on criteria are made. According to the research findings, the highest criterion weight is determined as service quality. The first alternative is chosen as the best alternative.
Conclusion- CBC alternative sequencing has been made for the export company by applying fuzzy-based MCDM methods. Thus, the applicability of MCDM methods is supported in CBC company selection. In addition, the CBC selection criteria are determined, and the CBC selection problem are shed light on. Suggestions are also made to export companies and researchers based on the results of the research.
Purpose- Customs are the main transit points in cross-border trade activities. Customs logistics activities are carried out by authorized customs brokerage companies (CBC). Export/import companies that execute customs clearance with the right CBC partners gain competitive advantage. Therefore, selecting the right CBC is an important decision-making problem. In this research, CBC selection problem is handled with fuzzy-based multi criteria decision-making (MCDM) methods.
Methodology- The research application covers the CBC selection process of an export firm. The criteria for the problem are obtained as a result of the literature review. The opinions of the decision makers are also taken. Seven criteria have been identified. These criteria are cost/price, service quality, information system and technology, flexibility, relationship, professionalism, reputation. Fuzzy-based stepwise weight assessment ratio analysis (F-SWARA) method is used for criterion weighting. In order of alternatives, ranking of alternatives through functional mapping of criterion sub-intervals into single interval (F-RAFSI) method is applied. Four decision makers are used to compare the criteria.
Findings- Four CBC alternative rankings based on criteria are made. According to the research findings, the highest criterion weight is determined as service quality. The first alternative is chosen as the best alternative.
Conclusion- CBC alternative sequencing has been made for the export company by applying fuzzy-based MCDM methods. Thus, the applicability of MCDM methods is supported in CBC company selection. In addition, the CBC selection criteria are determined, and the CBC selection problem are shed light on. Suggestions are also made to export companies and researchers based on the results of the research.
National entrepreneurship and national competitiveness are two basic factors that affect the economic development of countries. In this study, the effect of national entrepreneurship on national ...competitiveness is examined. Linear and non-linear regression analyzes were applied as research method. Non-linear regression model estimates were obtained with the curve estimation model application. Obtained models are presented comparatively. The sample consists of 52 countries. The national entrepreneurship scores of the countries were obtained from the “Global Entrepreneurship Monitor (GEM)” reports. National competitiveness scores are derived from “Global Competitiveness Index (GCI)” reports. The research period is 2019 before the pandemic. According to the research findings, the model with the highest percentage of explanation among the non-linear models is determined as the "Qubic" estimation model. When the Qubic non-linear model and linear model are compared, both models are found to be significant. In addition, it is concluded that the percentage of explanation of the non-linear model is higher than the linear model. Based on the findings, it has been suggested to develop country-specific entrepreneurship strategies as well as general entrepreneurship strategies in determining national entrepreneurship strategies.
Ulusal girişimcilik ve ulusal rekabetçilik, ülkelerin ekonomik kalkınmasını etkileyen iki temel faktördür. Bu çalışmada, ulusal girişimciliğin ulusal rekabetçilik üzerindeki etkisi incelenmiştir. Araştırma yöntemi olarak doğrusal ve doğrusal olmayan regresyon analizleri uygulanmıştır. Eğri tahmin modeli uygulamasıyla doğrusal olmayan regresyon model tahminleri elde edilmiştir. Elde edilen modeller karşılaştırmalı olarak sunulmuştur. Örneklem alan 52 ülkeden oluşmaktadır. Ülkelerin ulusal girişimcilik değerleri “Küresel Girişimcilik Monitörü (GEM)” raporlarından elde edilmiştir. Ulusal rekabetçilik puanları “Küresel Rekabetçilik Endeksi (GCI)” raporlarından elde edilmiştir. Araştırma dönemi pandemi öncesi 2019 yılıdır. Araştırma bulgularına göre doğrusal olmayan modeller arasında en yüksek açıklama yüzdesine sahip model “Qubic” tahmin modeli olarak belirlenmiştir. Qubic doğrusal olmayan model ile doğrusal model karşılaştırıldığında her iki modelin de anlamlı olduğu görülmüştür. Ayrıca doğrusal olmayan modelin açıklama yüzdesinin doğrusal modele göre daha yüksek olduğu sonucuna varılmıştır. Elde edilen bulgulara dayalı olarak, ulusal girişimcilik stratejilerinin belirlenmesinde genel girişimcilik stratejilerinin yanı sıra ülkeye özgü girişimcilik stratejilerinin geliştirilmesi önerilmiştir.
This study presents a hybrid fuzzy Multi-Attribute Group Decision Making (MAGDM) model with application to commercial insurance selection. The proposed hybrid model uses Spherical Fuzzy (SF) sets ...using Yager t-norm and t-conorm operations. The Logarithmic Decomposition of Criteria Importance (LODECI) method is used for criterion weighting due to its efficacy in stabilizing scenarios that may challenge other weighting techniques. For alternative ranking, the study employs the Alternative Ranking Technique based on Adaptive Standardized Intervals (ARTASI), offering enhanced flexibility in handling uncertainties inherent in expert evaluations. The combination of these methods and the utilization of SF sets gives rise to the proposed SF-LODECI-ARTASI hybrid model. The paper systematically delineates the procedural steps involving SF sets, Yager t-norm and t-conorm operations, SF-LODECI, and SF-ARTASI methods. Subsequently, the developed hybrid model is applied to a case study of commercial insurance selection, supported by a numerical example. The research application results emphasize the consistency of these findings with other alternative methods. Additionally, sensitivity scenarios are constructed to scrutinize the robustness of the proposed hybrid model. The study concludes by elucidating implications and contributions to the existing literature.
•Propose a hybrid model using Spherical Fuzzy (SF) sets, Logarithmic Decomposition of Criteria Importance (LODECI), and Alternative Ranking Technique based on Adaptive Standardized Intervals (ARTASI).•Use LODECI for criteria weighting due to its effectiveness in stabilizing unstable situations.•Use ARTASI for alternative ranking due to its effectiveness in expanding uncertainty levels in expert evaluations.•Observe consistency between the obtained results and those from other research in the field, validating robustness.•Conduct sensitivity analysis to test the robustness of the proposed hybrid model.
Digital projects aspiring to reach target audiences are executed through decentralized and trustworthy blockchain platforms (BPs). Once the objectives and target audience of a digital project are ...defined, the selection of suitable BPs is undertaken. The primary objective of this research is to develop a decision support system that aids in the selection of BPs for transferring digital data and assets. Numerous quantitative parameters determine the performance of BPs, alongside qualitative parameters indicating their performance. In this study, the aim is to determine the performance of BPs based on both qualitative and quantitative parameters. Within this scope, a multi-criteria decision-making approach and interval-valued spherical fuzzy (IVSF) sets are adopted. IVSF sets are utilized to determine expert importance levels. The IVSF-criteria importance assessment (CIMAS) method is introduced for the weighting of criteria. IVSF-CIMAS enables the determination of reliability levels in calculating criterion weights. The IVSF-simple weighted sum product (WISP) method is formulated to obtain the performance ranking of BPs. Thus, in this research, the IVSF-CIMAS-WISP hybrid model is developed, and an algorithm for this novel decision-analytic model is presented. A case study is developed focusing on BP selection for a digital project to demonstrate the applicability of the proposed hybrid model. The robustness of IVSF-CIMAS-WISP is tested through extensive sensitivity analysis scenarios. According to the research results, the applicability of the IVSF-CIMAS-WISP hybrid method is supported and its robustness is confirmed. The research findings provide numerous insights for project managers and practitioners.
•The interval-valued spherical fuzzy CIMAS-WISP hybrid model is formulated.•The blockchain platform selection problem for digital projects is addressed.•The presented IVSF-based group decision-analytic tool is generalizable and robust.•A novel MCGDM-based perspective on the selection of blockchain platforms is offered.•Analytical insights and implications for project managers and practitioners are given.
