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2 2022

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Determining the logistics market performance of developing countries by entropy and MABAC methods

Kara Karahan, Bentyn Zbigniew, Yalçın Galip Cihan

LogForum

2022

Vol. 18, no. 4

421--434

Background: The levels of logistics market performance of developing countries are published with Agility Emerging Markets Logistics Index (AEMLI) reports. The main purpose of this research is to propose a new model to determine the logistics market performance of developing countries in 2022 and to reorder the developing countries according to their logistics market performance. Methods: AEMLI indicators have been accepted as the basic criteria for determining the logistics market performance. The importance levels of these criteria have been determined by the Entropy technique. The logistics market performance rankings of developing countries according to the criteria were determined using the Multi-Attributive Border Approximation Area Comparison (MABAC) technique. The data set of 50 developing countries included in the 2022 AEMLI report has been used in the investigation. Results: According to the proposed new model, the weights of the criteria and logistics market performance rankings of developing countries have been determined. The importance levels of the criteria have been determined as Business Fundamentals (BF), Digital Readiness (DR), International Logistics Opportunities (ILO), and Domestic Logistics Opportunities (DLO), respectively. The ranking based on the new model was compared with the rankings in the 2022 AEMLI report. 21 of the 50 developing countries have improved their rankings. The ranking of 20 countries has been dropped. There is no change in the ranking of 9 countries. Additionally, according to AEMLI, the country with the highest logistics market performance is China, while the country with the best logistics market performance according to the proposed model is the United Arab Emirates (UAE). Conclusions: Contrary to the literature, Entropy and MABAC techniques were used to rank the logistics market performances of developing countries by making use of AEMLI reports. The issues that countries should focus on in the development of their logistics market performance are shown.

Supply chain process innovation between HRM capabilities and SC performance. An empirical analysis from the textile industry

Kara Karahan, Gökçen Esra Kaygisiz, Bentyn Zbigniew, Edinsel Sercan

Gospodarka Materiałowa i Logistyka

2022

nr 7

9--23

This study is aimed to explain the relationship between Human Resource Management (HRM) capabilities and Supply Chain Performance in the textile and apparel industry and to determine the mediating role of Process Innovation (PI), which improves supply chain processes in this relationship. Two research models were introduced in the study. Hypotheses belonging to research models have been developed. Structural equation modelling was applied to test the hypotheses. The sample area of the research consists of textile and apparel companies operating in Turkey. The research level is at the executive level. HRM capabilities significantly affect SC performance in the textile and apparel industry. In addition, it was concluded that PI has a full mediating effect on the HRM-SC performance relationship. It has been determined that PI applications contribute to increasing efficiency in supply chain management processes and performance and support the development of HRM capabilities.

Niniejsze badanie ma na celu wyjaśnienie związku między zdolnościami zarządzania zasobami ludzkimi (HRM) a wydajnością łańcucha dostaw w przemyśle tekstylnym i odzieżowym oraz określenie pośredniczącej roli innowacji procesowych (PI), które usprawniają procesy łańcucha dostaw w tej relacji. W badaniu wykorzystano dwa modele badawcze. Opracowano także hipotezy należące do modeli badawczych. W celu przetestowania hipotez zastosowano modelowanie równań strukturalnych. Przykładowy obszar badań stanowią firmy tekstylno-odzieżowe działające w Turcji. Badania przeprowadzono na poziomie zarządu. Wykazano, że możliwości zarządzania zasobami ludzkimi istotnie wpływają na wydajność SC w przemyśle tekstylnym i odzieżowym. Ponadto stwierdzono, że innowacje procesowe (PI) mają pełny wpływ mediacyjny na relację wydajności HRM–SC, a aplikacje PI przyczyniają się do zwiększenia efektywności procesów i wydajności zarządzania łańcuchem dostaw oraz wspierają rozwój możliwości HRM.