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PurposeThe COVID-19 pandemic has proven that how supply chain management (SCM) can become a crucial process for sustainability of the world's production/service. The global supply chain crisis during pandemic has affected most of the sectors. Home and personal care products manufacturers are among them. In this study (1) the problems at SCM of personal and home care products manufacturers during pandemic are discussed with the help of medium-size manufacturer and (2) the factors affecting suppliers' performance for the relevant sector during COVID-19 are analyzed comprehensively.Design/methodology/approachThe importance of the factors is evaluated using fuzzy cognitive maps that can help to reveal hidden casual relationships with the help of expert knowledge. In order to eliminate subjectivity due to usage of expert knowledge, the maps are trained with a hybrid learning approach that consists of Non-linear Learning and Extended Great Deluge Algorithms to increase robustness of the analysis.FindingsThe findings of the study indicate that the factors such as general quality level of products/services, compliance to delivery time, communication skills and total production capacity of suppliers have been crucial factors during pandemic.Originality/valueWhile the implementation of the hybrid learning approach on supply chain can fill the gap in the relevant literature, the promising results of the study can prove the convenience of the methodology to model the of complex systems like supply chain processes.

Objectives: Publications on tobacco control were quantitatively analysed to gain insight into the essential characteristics of the research field and trends and patterns in publication activities. The goal was to detect changes in the number of publications before and after the World Health Organization Framework Convention on Tobacco Control (WHO FCTC) was introduced. Study design: A bibliometric analysis was performed to assess the current status and research themes of tobacco control papers listed in the Web of Science database published between 1990 and 2015. Methods: Quantitative analyses were conducted to investigate publication activities, geographic distribution and individuals’ research fields within tobacco control. Results: The number of publications on tobacco control was over 81 times higher in 2015 than in 1990. At least 50% of the papers were published by authors in high-income countries. In addition, in the first 5 years after the WHO FCTC was introduced, publications on tobacco control increased considerably and the first publications from authors from Malaysia and Uruguay appeared. Researchers from the Americas Region of WHO contributed to the field much more frequently than those from the other five WHO regions. Conclusion: Findings from this study suggest that researchers’ interest from most countries increased after the WHO FCTC was introduced. However, research outputs from low- and middle-income countries remained comparatively low. Promoting more interest in tobacco control among researchers in these countries may help control the future prevalence of smoking.

Objective: This paper presented a) how the Global Adult Tobacco Surveys (GATSs) data can be used for extracting valuable information about tobacco use behaviors of people and b) the prediction performance of the implemented classification algorithms on the GATS data. Methods: Three well-known classification methods: K-nearest neighbor, C4.5 algorithm, and multilayer perceptron were applied to assess the classifying performance for the smoking status of GATS participants (pre-defined classes: smoker and no smoker) based on the socio-demographic characteristics (age group, gender, residence, education level, and working status). The first analysis was performed on the GATS data from Turkey. Subsequently, the model producing the best performance for Turkey was also implemented for other six European countries:

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