Kansou, Kamal

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  • Kansou, Kamal (1)
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Cross-European initial survey on the use of mathematical models in food industry

Djekić, Ilija; Mujcinović, Alen; Nikolić, Aleksandra; Jambrak, Anet Rezek; Papademas, Photis; Feyissa, Aberham Hailu; Kansou, Kamal; Thomopoulos, Rallou; Briesen, Heiko; Kavallieratos, Nickolas G.; Athanassiou, Christos G.; Silva, Cristina L.M.; Sirbu, Alexandrina; Moisescu, Alexandru Mihnea; Tomašević, Igor; Vrabić-Brodnjak, Urgka; Charalambides, Maria; Tonda, Alberto

(Elsevier Sci Ltd, Oxford, 2019)

TY  - JOUR
AU  - Djekić, Ilija
AU  - Mujcinović, Alen
AU  - Nikolić, Aleksandra
AU  - Jambrak, Anet Rezek
AU  - Papademas, Photis
AU  - Feyissa, Aberham Hailu
AU  - Kansou, Kamal
AU  - Thomopoulos, Rallou
AU  - Briesen, Heiko
AU  - Kavallieratos, Nickolas G.
AU  - Athanassiou, Christos G.
AU  - Silva, Cristina L.M.
AU  - Sirbu, Alexandrina
AU  - Moisescu, Alexandru Mihnea
AU  - Tomašević, Igor
AU  - Vrabić-Brodnjak, Urgka
AU  - Charalambides, Maria
AU  - Tonda, Alberto
PY  - 2019
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/4944
AB  - Mathematical modelling plays an important role in food engineering having various mathematical models tailored for different food topics. However, mathematical models are followed by limited information on their application in food companies. This paper aims to discuss the extent and the conditions surrounding the usage of mathematical models in the context of European food and drinks industry. It investigates the knowledge, nature and current use of modelling approaches in relation to the industry main characteristics. A total of 203 food companies from 12 European countries were included in this research. Results reveal that the country where the company operates, and size of the company, are more important predictors on the usage of mathematical models followed by the type of food sector. The more developed countries are positioned at the higher level of knowledge and use of available models. Similar pattern was observed at the micro level showing that small or medium sized companies exhibit lack of knowledge, resources and limiting usage of models.
PB  - Elsevier Sci Ltd, Oxford
T2  - Journal of Food Engineering
T1  - Cross-European initial survey on the use of mathematical models in food industry
EP  - 116
SP  - 109
VL  - 261
DO  - 10.1016/j.jfoodeng.2019.06.007
ER  - 
@article{
author = "Djekić, Ilija and Mujcinović, Alen and Nikolić, Aleksandra and Jambrak, Anet Rezek and Papademas, Photis and Feyissa, Aberham Hailu and Kansou, Kamal and Thomopoulos, Rallou and Briesen, Heiko and Kavallieratos, Nickolas G. and Athanassiou, Christos G. and Silva, Cristina L.M. and Sirbu, Alexandrina and Moisescu, Alexandru Mihnea and Tomašević, Igor and Vrabić-Brodnjak, Urgka and Charalambides, Maria and Tonda, Alberto",
year = "2019",
abstract = "Mathematical modelling plays an important role in food engineering having various mathematical models tailored for different food topics. However, mathematical models are followed by limited information on their application in food companies. This paper aims to discuss the extent and the conditions surrounding the usage of mathematical models in the context of European food and drinks industry. It investigates the knowledge, nature and current use of modelling approaches in relation to the industry main characteristics. A total of 203 food companies from 12 European countries were included in this research. Results reveal that the country where the company operates, and size of the company, are more important predictors on the usage of mathematical models followed by the type of food sector. The more developed countries are positioned at the higher level of knowledge and use of available models. Similar pattern was observed at the micro level showing that small or medium sized companies exhibit lack of knowledge, resources and limiting usage of models.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Journal of Food Engineering",
title = "Cross-European initial survey on the use of mathematical models in food industry",
pages = "116-109",
volume = "261",
doi = "10.1016/j.jfoodeng.2019.06.007"
}
Djekić, I., Mujcinović, A., Nikolić, A., Jambrak, A. R., Papademas, P., Feyissa, A. H., Kansou, K., Thomopoulos, R., Briesen, H., Kavallieratos, N. G., Athanassiou, C. G., Silva, C. L.M., Sirbu, A., Moisescu, A. M., Tomašević, I., Vrabić-Brodnjak, U., Charalambides, M.,& Tonda, A.. (2019). Cross-European initial survey on the use of mathematical models in food industry. in Journal of Food Engineering
Elsevier Sci Ltd, Oxford., 261, 109-116.
https://doi.org/10.1016/j.jfoodeng.2019.06.007
Djekić I, Mujcinović A, Nikolić A, Jambrak AR, Papademas P, Feyissa AH, Kansou K, Thomopoulos R, Briesen H, Kavallieratos NG, Athanassiou CG, Silva CL, Sirbu A, Moisescu AM, Tomašević I, Vrabić-Brodnjak U, Charalambides M, Tonda A. Cross-European initial survey on the use of mathematical models in food industry. in Journal of Food Engineering. 2019;261:109-116.
doi:10.1016/j.jfoodeng.2019.06.007 .
Djekić, Ilija, Mujcinović, Alen, Nikolić, Aleksandra, Jambrak, Anet Rezek, Papademas, Photis, Feyissa, Aberham Hailu, Kansou, Kamal, Thomopoulos, Rallou, Briesen, Heiko, Kavallieratos, Nickolas G., Athanassiou, Christos G., Silva, Cristina L.M., Sirbu, Alexandrina, Moisescu, Alexandru Mihnea, Tomašević, Igor, Vrabić-Brodnjak, Urgka, Charalambides, Maria, Tonda, Alberto, "Cross-European initial survey on the use of mathematical models in food industry" in Journal of Food Engineering, 261 (2019):109-116,
https://doi.org/10.1016/j.jfoodeng.2019.06.007 . .
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