AI in Marketing Management: Executive Perspectives from Companies
The integration of artificial intelligence (AI) in marketing and business communication is transforming corporate strategies, offering significant opportunities while presenting notable challenges. This study examines the factors influencing AI adoption by companies, focusing on the perspectives of...
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| Format: | Article |
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| Language: | English |
| Published: |
Sumy State University
2025-01-01
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| Series: | Marketing i Menedžment Innovacij |
| Subjects: | |
| Online Access: | https://mmi.sumdu.edu.ua/wp-content/uploads/2025/01/04_A829-2024_Maldonado-Canca-et-al.pdf |
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| collection | DOAJ |
| description | The integration of artificial intelligence (AI) in marketing and business communication is transforming corporate strategies, offering significant opportunities while presenting notable challenges. This study examines the factors influencing AI adoption by companies, focusing on the perspectives of CEOs. Using a survey of 409 senior executives from Spanish firms, this research develops an advanced framework based on the unified theory of acceptance and use of technology (UTAUT), enriched with additional constructs. The findings reveal that effort expectancy and facilitating conditions are critical drivers of AI adoption. AI aversion, reflecting concerns about distrust, complexity, and ethical risks, emerges as a significant barrier, particularly for CEOs of smaller firms, where its impact is notably stronger. Relative advantage and perceived value also influence adoption intentions, albeit to a lesser degree, indicating the perceived benefits and tangible outcomes of AI in improving processes such as segmentation, automation, and predictive analytics. Key differences arise between companies of varying revenue sizes: smaller firms exhibit greater aversion to AI, whereas larger organisations focus on maximizing their strategic benefits to drive innovation. These insights highlight the importance of tailored approaches, such as financial incentives, pilot programs, and targeted training, to reduce aversion and encourage adoption across diverse organizational contexts. This study contributes to the academic discourse by extending the UTAUT framework to address emerging challenges in AI adoption. Practically, it provides actionable strategies for business leaders to address human-centric and technological barriers, fostering a more efficient and data-driven marketing process. By offering a comprehensive understanding of the enablers and barriers to AI adoption, this research equips companies to harness AI's full potential, enhancing their competitive advantage in an increasingly digital landscape |
| format | Article |
| id | doaj-art-8da78f9ad6e242bc8d88bb2623cad710 |
| institution | Kabale University |
| issn | 2218-4511 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Sumy State University |
| record_format | Article |
| series | Marketing i Menedžment Innovacij |
| spelling | doaj-art-8da78f9ad6e242bc8d88bb2623cad7102025-01-26T11:28:44ZengSumy State UniversityMarketing i Menedžment Innovacij2218-45112025-01-01154155stringAI in Marketing Management: Executive Perspectives from CompaniesThe integration of artificial intelligence (AI) in marketing and business communication is transforming corporate strategies, offering significant opportunities while presenting notable challenges. This study examines the factors influencing AI adoption by companies, focusing on the perspectives of CEOs. Using a survey of 409 senior executives from Spanish firms, this research develops an advanced framework based on the unified theory of acceptance and use of technology (UTAUT), enriched with additional constructs. The findings reveal that effort expectancy and facilitating conditions are critical drivers of AI adoption. AI aversion, reflecting concerns about distrust, complexity, and ethical risks, emerges as a significant barrier, particularly for CEOs of smaller firms, where its impact is notably stronger. Relative advantage and perceived value also influence adoption intentions, albeit to a lesser degree, indicating the perceived benefits and tangible outcomes of AI in improving processes such as segmentation, automation, and predictive analytics. Key differences arise between companies of varying revenue sizes: smaller firms exhibit greater aversion to AI, whereas larger organisations focus on maximizing their strategic benefits to drive innovation. These insights highlight the importance of tailored approaches, such as financial incentives, pilot programs, and targeted training, to reduce aversion and encourage adoption across diverse organizational contexts. This study contributes to the academic discourse by extending the UTAUT framework to address emerging challenges in AI adoption. Practically, it provides actionable strategies for business leaders to address human-centric and technological barriers, fostering a more efficient and data-driven marketing process. By offering a comprehensive understanding of the enablers and barriers to AI adoption, this research equips companies to harness AI's full potential, enhancing their competitive advantage in an increasingly digital landscapehttps://mmi.sumdu.edu.ua/wp-content/uploads/2025/01/04_A829-2024_Maldonado-Canca-et-al.pdfartificial intelligence; marketing; business communication; AI adoption; emerging technologies; |
| spellingShingle | AI in Marketing Management: Executive Perspectives from Companies Marketing i Menedžment Innovacij artificial intelligence; marketing; business communication; AI adoption; emerging technologies; |
| title | AI in Marketing Management: Executive Perspectives from Companies |
| title_full | AI in Marketing Management: Executive Perspectives from Companies |
| title_fullStr | AI in Marketing Management: Executive Perspectives from Companies |
| title_full_unstemmed | AI in Marketing Management: Executive Perspectives from Companies |
| title_short | AI in Marketing Management: Executive Perspectives from Companies |
| title_sort | ai in marketing management executive perspectives from companies |
| topic | artificial intelligence; marketing; business communication; AI adoption; emerging technologies; |
| url | https://mmi.sumdu.edu.ua/wp-content/uploads/2025/01/04_A829-2024_Maldonado-Canca-et-al.pdf |