Adaptation determinants of artificial intelligence in small and medium enterprises

Author:

Bąk SylwiaORCID, ,Jedynak PiotrORCID,Kaczmaryk PrzemysławORCID, ,

Abstract

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.

Publisher

University of Warsaw

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3