Search results
Your query:
All Fields = "Consumer Neuroscience Innovative Approach to Optimizing Sustainable Business and Marketing Performance Based on Modern Intelligent Systems"
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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. [Copy count : 2, currently available 1, at library only 1]
- 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.
File name Size Typ prístupu Plný text PDF 489.1 KB z IP adresy SEK po prihlásení