Adaptation determinants of artificial intelligence in small and medium enterprises
Purpose: Small and medium enterprises (SMEs) are increasingly using artificial intelligence (AI) in their operational and strategic activities. In order to properly prepare for the processes of AI implementation and to plan the path of digital transformation using the tools it supports, enterprise...
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| Format: | Article |
| Language: | English |
| Published: |
University of Warsaw
2024-01-01
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| Series: | European Management Studies |
| Subjects: | |
| Online Access: | https://press.wz.uw.edu.pl/ems/vol22/iss1/4 |
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| _version_ | 1841556492597067776 |
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| author | Sylwia Bąk Piotr Jedynak Przemysław Kaczmaryk |
| author_facet | Sylwia Bąk Piotr Jedynak Przemysław Kaczmaryk |
| author_sort | Sylwia Bąk |
| collection | DOAJ |
| description | Purpose: Small and medium enterprises (SMEs) are increasingly using artificial intelligence (AI) in their
operational and strategic activities. In order to properly prepare for the processes of AI implementation
and to plan the path of digital transformation using the tools it supports, enterprises need to be fully
aware of the factors that determine a successful implementation of the processes. The aim of this text
is to identify the key determinants related to the adaptation of AI tools and technologies in business
processes and operations of SMEs.
Design/methodology/approach: In order to establish a catalog of adaptation determinants of artificial
intelligence in SMEs, 24 deliberately selected academic texts indexed in the EBSCO database and
published between 2021 and 2023 were analyzed. The research methods that were used are: an exploratory
research approach and a single-step logical classification method, fulfilling the required criteria
of exhaustiveness and separability in the selection.
Findings: Using an exploratory approach to literature research, we identified 55 different factors impacting
AI adaptation in SMEs, which we divided into the following seven categories, using a logical classification
method: strategy and business model, culture and attitude, resources, support, entrepreneurship and
innovation, competitive position and environmental conditions.
Research limitations/implications: The research results have theoretical and practical implications.
In the theoretical aspect, they can be a starting point for searching for methods to deal with identified
determinants. In a practical aspect, the identified conditions may constitute a guide for SMEs planning
to implement AI tools. A research limitation may be the fact that due to the dynamic development of
the technological environment of SMEs, the identified catalog of determinants is certainly not closed.
Originality/value: The added value of the conducted research mainly concerns the identification and
categorization of adaptation determinants of implementing AI in SMEs, which can significantly contribute
to increasing the awareness of the SMEs about the challenges they face on the path of digital
transformation. |
| format | Article |
| id | doaj-art-51a9693a84414d5484002b1d1f456fae |
| institution | Kabale University |
| issn | 2956-7602 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | University of Warsaw |
| record_format | Article |
| series | European Management Studies |
| spelling | doaj-art-51a9693a84414d5484002b1d1f456fae2025-01-07T08:05:25ZengUniversity of WarsawEuropean Management Studies2956-76022024-01-01221769710.7172/2956-7602.103.4Adaptation determinants of artificial intelligence in small and medium enterprisesSylwia Bąk0https://orcid.org/0000-0003-4398-0865Piotr Jedynak1https://orcid.org/0000-0001-7335-6073Przemysław Kaczmaryk2https://orcid.org/0009-0008-9438-6923Jagiellonian University in Krakow, PolandJagiellonian University in Krakow, PolandJagiellonian University in Krakow, PolandPurpose: Small and medium enterprises (SMEs) are increasingly using artificial intelligence (AI) in their operational and strategic activities. In order to properly prepare for the processes of AI implementation and to plan the path of digital transformation using the tools it supports, enterprises need to be fully aware of the factors that determine a successful implementation of the processes. The aim of this text is to identify the key determinants related to the adaptation of AI tools and technologies in business processes and operations of SMEs. Design/methodology/approach: In order to establish a catalog of adaptation determinants of artificial intelligence in SMEs, 24 deliberately selected academic texts indexed in the EBSCO database and published between 2021 and 2023 were analyzed. The research methods that were used are: an exploratory research approach and a single-step logical classification method, fulfilling the required criteria of exhaustiveness and separability in the selection. Findings: Using an exploratory approach to literature research, we identified 55 different factors impacting AI adaptation in SMEs, which we divided into the following seven categories, using a logical classification method: strategy and business model, culture and attitude, resources, support, entrepreneurship and innovation, competitive position and environmental conditions. Research limitations/implications: The research results have theoretical and practical implications. In the theoretical aspect, they can be a starting point for searching for methods to deal with identified determinants. In a practical aspect, the identified conditions may constitute a guide for SMEs planning to implement AI tools. A research limitation may be the fact that due to the dynamic development of the technological environment of SMEs, the identified catalog of determinants is certainly not closed. Originality/value: The added value of the conducted research mainly concerns the identification and categorization of adaptation determinants of implementing AI in SMEs, which can significantly contribute to increasing the awareness of the SMEs about the challenges they face on the path of digital transformation.https://press.wz.uw.edu.pl/ems/vol22/iss1/4artificial intelligence (ai)small and medium-sized enterprises (smes)adaptation of aiconditions |
| spellingShingle | Sylwia Bąk Piotr Jedynak Przemysław Kaczmaryk Adaptation determinants of artificial intelligence in small and medium enterprises European Management Studies artificial intelligence (ai) small and medium-sized enterprises (smes) adaptation of ai conditions |
| title | Adaptation determinants of artificial intelligence in small and medium enterprises |
| title_full | Adaptation determinants of artificial intelligence in small and medium enterprises |
| title_fullStr | Adaptation determinants of artificial intelligence in small and medium enterprises |
| title_full_unstemmed | Adaptation determinants of artificial intelligence in small and medium enterprises |
| title_short | Adaptation determinants of artificial intelligence in small and medium enterprises |
| title_sort | adaptation determinants of artificial intelligence in small and medium enterprises |
| topic | artificial intelligence (ai) small and medium-sized enterprises (smes) adaptation of ai conditions |
| url | https://press.wz.uw.edu.pl/ems/vol22/iss1/4 |
| work_keys_str_mv | AT sylwiabak adaptationdeterminantsofartificialintelligenceinsmallandmediumenterprises AT piotrjedynak adaptationdeterminantsofartificialintelligenceinsmallandmediumenterprises AT przemysławkaczmaryk adaptationdeterminantsofartificialintelligenceinsmallandmediumenterprises |