| Title: | Employing AI Tools in Tourism: A Qualitative Study of Social Media Content Generation in a Work Environment : a qualitative study of social media content generation in a work environment |
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| Authors: | ID Džinić, Tarik (Author)
ID Brumen, Boštjan (Mentor) More about this mentor...  |
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| Files: |  VS_Dzinic_Tarik_2023.pdf (1,99 MB)
MD5: 062C7CF5E8F839A77E42EC91D6A4DD5D
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| Language: | English |
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| Work type: | Bachelor thesis/paper |
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| Typology: | 2.11 - Undergraduate Thesis |
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| Organization: | FT - Faculty of Tourism
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| Abstract: | In the midst of industries being reshaped by the emergence of technologies our attention is drawn to the increasing trend of AI and its potential integration, in the work environment. At present, we recognise the swift evolution of technology and the necessity to align with current trends. In this thesis we delve into the world of content creation in tourism social media marketing. We specifically focus on how AI tools, like ChatGPT transform the way we generate content across social media platforms. Through the thesis we highlight the importance of content marketing in boosting brand visibility and engagement. We further explore how generative AI models can create content, enhance personalization and streamline marketing strategies. Additionally, we investigate the newly emerging field of prompt engineering, which focuses on improved interactions with generative AI models. While AI tools offer efficiency, we emphasize the need to strike a balance between automation and human driven creativity. In the evolving landscape of digital marketing, this study contributes insights into leveraging AI-powered content creation for enriching the tourism industry's social media endeavours. |
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| Keywords: | Content creation, artificial intelligence, ChatGPT, prompt engineering, social media marketing |
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| Place of publishing: | Brežice |
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| Place of performance: | Brežice |
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| Publisher: | [T. Džinić] |
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| Year of publishing: | 2023 |
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| Number of pages: | 73 str. |
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| PID: | 20.500.12556/DKUM-85742 |
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| UDC: | 004.8:339.138(043.2) |
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| COBISS.SI-ID: | 167515907 |
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| Publication date in DKUM: | 09.10.2023 |
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| Views: | 986 |
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| Downloads: | 152 |
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| Metadata: |    |
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| Categories: | Misc.
FT
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