The rapid development of artificial intelligence (AI) has led to significant changes in the business environment and academic discussions. AI boosts productivity and positively impacts the competitive advantage of organisations. However, it also has its dark sides, such as prejudice, non-transparent processes, and people's fears that AI will be able to take their jobs in the future. The successful implementation of AI in organisations depends on several factors, including geopolitical, cultural, ecosystem, organisational, and individual factors. Geopolitical context and cultural differences can play an important role in the adoption and implementation of AI in organisations. This study examines the influence of geopolitical and cultural contexts on the decision-making process for the adoption and implementation of AI by managers from the fashion retail industry in Sweden and India. Given the extensive scope of these contexts, the authors narrowed their focus on specific factors. In the cultural context, the authors consider selected dimensions of the GLOBE project that reflect national culture. Within the Geopolitical context, particular attention is given to aspects such as data access and control, as well as the regulatory framework. In the course of this study, semi-structured interviews were conducted, and additional secondary data was studied. The study showed that the specifics of data access and control, as well as governmental legislative regulation, directly affect the decision-making process regarding the adoption and implementation of AI. As for the cultural context, here the degree of influence is heterogeneous, and decision-making on the implementation of AI is not always subject to the direct influence of the national cultural factors.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-121174 |
| Date | January 2023 |
| Creators | Mensah, Florence, Lysikova, Marina |
| Publisher | Linnéuniversitetet, Institutionen för management (MAN) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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