Výsledky vyhľadávania

Nájdených záznamov: 19  
Vaša otázka: Všetky polia = "Consumer Neuroscience Innovative Approach to Optimizing Sustainable Business and Marketing Performance Based on Modern Intelligent Systems"
  1. ORESKÝ, Milan. Artificial Intelligence Usage in Marketing Today and in the Future. In Consumer Neuroscience - Innovative Approach to Optimizing Sustainable Business and Marketing Performance Based on Modern Intelligent Systems : Proceedings of the Scientific Project VEGA 1/0354/22. - Bratislava : Vydavateľstvo EKONÓM, 2023. ISBN 978-80-225-5096-3, pp. 74-96. VEGA 1/0354/22.
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  2. FRANCOVÁ, Zuzana. Neuromarketing – The Connection between Neuroscience and Business. In Consumer Neuroscience - Innovative Approach to Optimizing Sustainable Business and Marketing Performance Based on Modern Intelligent Systems : Proceedings of the Scientific Project VEGA 1/0354/22. - Bratislava : Vydavateľstvo EKONÓM, 2023. ISBN 978-80-225-5096-3, pp. 42-55. VEGA 1/0354/22.
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  3. Consumer Neuroscience - Innovative Approach to Optimizing Sustainable Business and Marketing Performance Based on Modern Intelligent Systems : Proceedings of the Scientific Project VEGA 1/0354/22. Proceedings of the Scientific Were Completed by: Peter Červenka ; reviewers: Anna Cierniak-Emerych, Aneta Vančová. 1st Edition. Bratislava : Vydavateľstvo EKONÓM, 2023. 122 s. [9,11 AH]. VEGA 1/0354/22. ISBN 978-80-225-5096-3. [Počet ex. : 2, z toho voľných 1, prezenčne 1]
  4. ČVIRIK, Marián. Generation Z Music Perception in the Context of Sound Marketing. In Consumer Neuroscience - Innovative Approach to Optimizing Sustainable Business and Marketing Performance Based on Modern Intelligent Systems : Proceedings of the Scientific Project VEGA 1/0354/22. - Bratislava : Vydavateľstvo EKONÓM, 2023. ISBN 978-80-225-5096-3, pp. 17-26. VEGA 1/0354/22.
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  5. ČERVENKA, Peter - KUCHTA, Martin. Predictive Modeling in Neuromarketing. In Consumer Neuroscience - Innovative Approach to Optimizing Sustainable Business and Marketing Performance Based on Modern Intelligent Systems : Proceedings of the Scientific Project VEGA 1/0354/22. - Bratislava : Vydavateľstvo EKONÓM, 2023. ISBN 978-80-225-5096-3, pp. 5-16. VEGA 1/0354/22.
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  6. MATUŠOVIČOVÁ, Monika. The Use of Neuroscience in Human Resource Management. In Consumer Neuroscience - Innovative Approach to Optimizing Sustainable Business and Marketing Performance Based on Modern Intelligent Systems : Proceedings of the Scientific Project VEGA 1/0354/22. - Bratislava : Vydavateľstvo EKONÓM, 2023. ISBN 978-80-225-5096-3, pp. 65-73. VEGA 1/0354/22.
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  7. JANKOVIČ, Michal. Use of Artificial Intelligence in Category Management. In Consumer Neuroscience - Innovative Approach to Optimizing Sustainable Business and Marketing Performance Based on Modern Intelligent Systems : Proceedings of the Scientific Project VEGA 1/0354/22. - Bratislava : Vydavateľstvo EKONÓM, 2023. ISBN 978-80-225-5096-3, pp. 56-64. VEGA 1/0354/22.
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  8. DAŇO, Ferdinand - HANULÁKOVÁ, Eva - KUKURA, Marek. Consumer Neuroscience and Neuromarketing as Platform for Biometric Statistics. In Consumer Neuroscience - Innovative Approach to Optimizing Sustainable Business and Marketing Performance Based on Modern Intelligent Systems : Proceedings of the Scientific Project VEGA 1/0354/22. - Bratislava : Vydavateľstvo EKONÓM, 2023. ISBN 978-80-225-5096-3, pp. 27-41. VEGA 1/0354/22.
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  9. ŠÁŠKY, Michael. Current Trends in Sustainable Marketing and its Near Future in Europe. In Consumer Neuroscience - Innovative Approach to Optimizing Sustainable Business and Marketing Performance Based on Modern Intelligent Systems : Proceedings of the Scientific Project VEGA 1/0354/22. - Bratislava : Vydavateľstvo EKONÓM, 2023. ISBN 978-80-225-5096-3, pp. 97-107. VEGA 1/0354/22.
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  10. ŠÁŠKY, Michael. The Future of the Digital Experience Using Neuromarketing Research. In Consumer Neuroscience - Innovative Approach to Optimizing Sustainable Business and Marketing Performance based on Modern Intelligent Systems : Proceedings of the Scientific Project VEGA 1/0354/22. - Bratislava : Vydavateľstvo EKONÓM, 2022. ISBN 978-80-225-4991-2, pp. 48-62. VEGA 1/0354/22.
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