Current Digital Technologies and Their Impact on Marketing: Qualitative Analysis of the Czech Business Environment
| dc.contributor.author | Novakova, Anezka | |
| dc.contributor.author | Turchyn, Liuba | |
| dc.contributor.other | Ekonomická fakulta | cs |
| dc.date.accessioned | 2025-10-02T10:24:24Z | |
| dc.date.available | 2025-10-02T10:24:24Z | |
| dc.description.abstract | This article presents a comprehensive analysis of the impact of selected emerging technologies on the transformation of contemporary marketing practices, with a special focus on the Czech business environment. The focus is on the integration of advanced artificial intelligence, distributed data structures (big data), Internet of Things (IoT), blockchain platforms, robotic systems, cloud computing, and immersive technologies (AR/VR/metaverse) into strategic and operational marketing processes. The study aims to conduct a multi-paradigm synthesis of the impact of these technologies on redefining core marketing principles, including value creation, personalization of customer experience, and optimization of decision-making mechanisms. Methodologically, the research is anchored in a systematic literature review (SLR) and a qualitative investigation through semi-structured interviews with selected marketing practitioners. The findings empirically confirm the growing importance of data-driven approaches, predictive analytics, and automation in building customer relevance and campaign effectiveness. They also identify the major ethical, legal, and societal challenges associated with algorithmic decision-making, data management, and transparency of digital processes. Based on the research findings, the paper formulates recommendations for the strategic implementation of digital technologies in marketing with an emphasis on accountability, ethics, and long-term sustainability. The study contributes to broadening the academic debate on the technological transformation of marketing and offers theoretical and practical impetus for further research on digital customer relationship management in the Central European environment. | en |
| dc.format | text | |
| dc.identifier.doi | 10.15240/tul/009/lef-2025-14 | |
| dc.identifier.isbn | 978-80-7494-747-6 | |
| dc.identifier.uri | https://dspace.tul.cz/handle/15240/178036 | |
| dc.language.iso | en | |
| dc.publisher | Technická Univerzita v Liberci | cs |
| dc.publisher | Technical university of Liberec, Czech Republic | en |
| dc.publisher.abbreviation | TUL | |
| dc.relation.isbasedon | ALIJOYO, F. A., AZIZ, T. S. A., OMER, N., YUSUF, N., KUMAR, M. D., RAMESH, A. V. N., ULMAS, Z., & EL-EBIARY, Y. A. B. (2025). Personalized marketing: Leveraging AI for culturally aware segmentation and targeting. Alexandria Engineering Journal, 119, 8–21. https://doi.org/10.1016/j.aej.2025.01.074EGER, L., & HOMMEROVÁ, D. (2024). Social media communication: Theory and research. FAM, K., LIU, Y., WEI, S., EDU, T., ZAHARIA, R., & NEGRICEA, C. (2024). Modeling new technology readiness and acceptance in the case of B2B marketing employees. Journal of Business-to-Business Marketing, 1–30.https://doi.org/10.1080/1051712X.2024.2364699 GUHL, D., PAETZ, F., WAGNER, U., & WEDEL, M. (2024). Predicting and optimizing marketing performance in dynamic markets. OR Spectrum, 46(1), 1–27.https://doi.org/10.1007/s00291-024-00755-1 HANNEKE, B., SKIERA, B., KRAFT, T. G., & HINZ, O. (2024). Decoding blockchain data for research in marketing: New insights through an analysis of share of wallet. International Journal of Research in Marketing.https://doi.org/10.1016/j.ijresmar.2024.12.002 HORNG, J., LIU, C., CHOU, S., YU, T., CHANG, Y. E., & HU, D. (2024). Big data meets sustainable marketing: A new integrated curriculum for hospitality education. Journal of Hospitality, Leisure, Sport & Tourism Education, 35, 100502. https://doi.org/10.1016/j.jhlste.2024.100502 IYER, P., & BRIGHT, L. F. (2024). Navigating a paradigm shift: Technology and user acceptance of big data and artificial intelligence among advertising and marketing practitioners. Journal of Business Research, 180, 114699. https://doi.org/10.1016/j.jbusres.2024.114699 KNIHOVÁ, L. (2024). AI marketing playbook: How ChatGPT and artificial intelligence are changing the world of marketing. Grada Publishing Inc. JAVAID, M., HALEEM, A., VAISHYA, R., & KHAN, I. H. (2021). Application of internet of things (IoT) for smart marketing. Journal of Retail and Consumer Services, 58, 102287. https://doi.org/10.1016/j.jretconser.2020.102287 KOTLER, P., KARTAJAYA, H., & SETIAWAN, I. (2021). Marketing 5.0: Technology for humanity. John Wiley & Sons. LESSMANN, S., HAUPT, J., COUSSEMENT, K., & DE BOCK, K. W. (2021). Targeting customers for profit: An ensemble learning framework to support marketing decision-making. Information Sciences, 557, 286–301. https://doi.org/10.1016/j.ins.2019.05.027 LO, F., & CAMPOS, N. (2018). Blending Internet-of-Things (IoT) solutions into relationship marketing strategies. Technological Forecasting and Social Change, 137, 10–18.https://doi.org/10.1016/j.techfore.2018.09.029 MUKHOPADHYAY, S., SINGH, R. K., & JAIN, T. (2024). Developing big data enabled Marketing 4.0 framework. International Journal of Information Management Data Insights, 4(1), 100214. https://doi.org/10.1016/j.jjimei.2024.100214 NAZ, H., & KASHIF, M. (2025). Artificial intelligence and predictive marketing: An ethical framework from managers’ perspective. Spanish Journal of Marketing - ESIC. https://doi.org/10.1108/SJME-06-2023-0154 NOVÁKOVÁ, A. (2025). Current technologies in marketing [Master’s thesis, University of West Bohemia]. PLANGGER, K., GREWAL, D., DE RUYTER, K., & TUCKER, C. (2022). The future of digital technologies in marketing: A conceptual framework and an overview. Journal of the Academy of Marketing Science, 50(6), 1125–1134. https://doi.org/10.1007/s11747-022-00906-2 ROSARIO, A. T., & DIAS, J. C. (2023). How has data-driven marketing evolved: Challenges and opportunities with emerging technologies. International Journal of Information Management Data Insights, 3(2), 100203. https://doi.org/10.1016/j.jjimei.2023.100203 SCHOLDRA, T. P., WICHMANN, J. R., & REINARTZ, W. J. (2023). Reimagining personalization in the physical store. Journal of Retailing, 99(4), 563–579. https://doi.org/10.1016/j.jretai.2023.11.001 SULTANA, A., NAGASUVARCHALA, CH., & PRANATHI, K. (2016). A study on ethics and social responsibility in marketing. International Journal of Innovative Research & Development, 5(2), 78–82. https://www.internationaljournalcorner.com/index.php/ijird_ojs/article/view/136021 YEH, Y., EDEN, R., FIELT, E., & SYED, R. (2025). The role of use for the business value of big data analytics. The Journal of Strategic Information Systems, 34(2), 101888. https://doi.org/10.1016/j.jsis.2025.101888 ZHANG, C., PAN, Z., & HOU, C. (2023). Marketing data security and privacy protection based on federated gamma in cloud computing environment. International Journal of Intelligent Networks, 4, 261–271. https://doi.org/10.1016/j.ijin.2023.09.003 | |
| dc.relation.ispartof | Liberecké ekonomické fórum 2025 | cs |
| dc.relation.ispartof | Liberec Economic Forum 2025 | en |
| dc.subject | Artificial Intelligence | en |
| dc.subject | Digital Marketing | en |
| dc.subject | Personalization | en |
| dc.subject | Marketing Technology | en |
| dc.subject | Ethical Challenges | en |
| dc.subject.classification | M31 | |
| dc.subject.classification | M37 | |
| dc.title | Current Digital Technologies and Their Impact on Marketing: Qualitative Analysis of the Czech Business Environment | en |
| dc.type | proceeding paper | en |
| local.access | open | |
| local.citation.epage | 194 | |
| local.citation.spage | 175 | |
| local.faculty | Faculty of Economics | |
| local.fulltext | yes | |
| local.relation.abbreviation | LEF | cs |
| local.relation.abbreviation | LEF | en |
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