Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe
Организационная готовность к внедрению искусственного интеллекта в выставочном секторе Западной Европы
2022-02-25
SCID: 54.1/bgu9chab
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Technology Readiness IndexTechnology–Organization–Environment frameworkartificial intelligence adoptionexhibition sectororganizational readiness
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Abstract (AI)
This exploratory study explores perceptions of Artificial Intelligence (AI) and organizational readiness to adopt AI, in the exhibition sector of the events industry. A theoretical framework synthesizing the Technology - Organization - Environment framework and the Technology Readiness Index was developed to guide this qualitative study. Seventeen senior managerial representatives from exhibition organizations across nine Western European countries were interviewed, and a reflexive thematic approach was adopted to analyse the data. The findings suggest that the European exhibition industry is a slow adopter of AI, which may impact its future competitiveness, despite the stimulus provided to AI adoption during the COVID-19 pandemic. The degree of confidence in organizational technological practices, financial resources, the size of the organization, and issues of data management and protection, as well as the impacts of the COVID-19 pandemic, motivate or inhibit readiness for AI adoption in the event industry. A new Exhibition Sector Readiness for AI Adoption Model is presented in this research that managers and researchers can use to analyze inhibitors and motivations for AI adoption, which is contextualized for the current challenges facing the exhibitions sector.
Key Findings
1
Confidence in technological practices, financial resources, organizational size, and data management and protection issues either motivate or inhibit AI adoption.
2
Seventeen senior managers across exhibition organizations in nine Western European countries identified organizational, technological, financial, and environmental factors shaping AI adoption readiness.
3
The COVID-19 pandemic stimulated AI adoption in the exhibition sector but also introduced additional contextual challenges.
4
The European exhibition industry is a slow adopter of artificial intelligence, potentially threatening its future competitiveness.
5
The study develops an Exhibition Sector Readiness for AI Adoption Model integrating the Technology–Organization–Environment framework and Technology Readiness Index.
Research Object
Exhibition organizations in the Western European events industry
Research Subject
Organizational readiness and the motivating and inhibiting factors for adopting artificial intelligence
Publication Details
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2022-02-25
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References available in scid.ai7
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