Abstract All industries face new challenges after COVID-19, including the Indonesian poultry industry. As an essential food supply sector, industry chain must respond and adapt to post- COVID-19 conditions. This study aims analyze relationship between agility sustainability in of for facing various challenges. The method used this research was Interpretive Structural Modeling-“Matriced Impacts ...

In the context of halal supply chain, need for flexibility suppliers is increasing along with changes in regulations, policies, markets, and technology that change dynamically. Therefore, more systematic dynamic modeling criteria needed to improve quality chain management as a whole. The purpose this study identify by considering chain. study, carried out using Interpretive Structural Modeling—...

the aim of this study was to design interpretative structural model (ism) of the components of sport diplomacy. the present study was applied in terms of aims and descriptive with regard to data collection. with review of related literature and qualitative interviews (content analysis) with 13 iranian and foreign experts of sport diplomacy, components and items of sport diplomacy were identifie...

Background. This research aimed to optimize the technology policy and reduce costs of growth centers at medical sciences universities. Identifying effective factors in expansion units facilitates development advancement innovative entrepreneurs through incubators. Methods. The current qualitative analyzes data collected structured interviews with 31 individuals from centers, administrators loca...

S. G. Deshmukh Director, IIITM Gwalior, New Delhi, India [email protected] This article proposes a methodology for supply chain planning in small and medium enterprises (SMEs). The proposed framework integrates the use of selected well-proven techniques such as quality function deployment (QFD), interpretive structural modeling (ISM), analytic network process (ANP), and zero one goal p...

Item hierarchy and concept tree provide references for cognition diagnosis and remedial instruction. Therefore, integration of data analysis on item hierarchy and concept tree should be important. The purpose of this study is to provide an integrated methodology of item hierarchy and concept tree analysis. Besides, fuzzy clustering is adopted to classify sample so that homogeneity appear in the...

Many factors influence student mobility across regions and countries. The roles of these factors, along with their interrelationship interaction, make a complex decision-making issue. textual data generated on social media can answer many open questions about affecting human behavior, particularly mobility. We have developed novel methodology, called Textual Fuzzy Interpretive Structural Modeli...

This research focuses on the return process, process where consumers decide to product after receiving an order or making a purchase. incident is not desired by company, because it has potential reduce profits and consumer loyalty. However, company aware that cannot be avoided. So this aims evaluate factors have cause using Interpretive Structural Modeling (ISM) Methodology. case study was cond...