{"title":"Modeling and implementing program activities to support the implementation of new\n technologies in the small and medium-sized enterprise sector","authors":"Sylwia Stefaniak","doi":"10.54941/ahfe1002936","DOIUrl":null,"url":null,"abstract":"The article is part of a doctoral dissertation, the aim of which is to implement\n the Policy for the Development of Artificial Intelligence from 2020 in Poland by\n modelling and implementing program activities to support the implementation of new\n technologies in the small and medium-sized enterprise sector (SME), along with their\n cyclical monitoring and validation. The doctoral thesis assumes that the realization of\n the goal will be carried out through the collection and production of a set of good\n practices that will support and facilitate the implementation of solutions based on\n artificial intelligence for SME, as well as their popularization in this group, which\n will fill the implementation gap (lack of addressing the needs of this target group) and\n the research gap (description of program mechanisms addressing the problems of policy\n implementation). For this purpose, a platform provided by the Global Partnership on\n Artificial Intelligence in the form of a website is being used and adapted in Polish\n market, where an entrepreneur will be able to easily validate his or her level of\n maturity and can see what technologies are adequate for implementation in his or her\n enterprise. The conceptual work on the portal identified three main challenges facing\n SMEs: the difficulty in finding trusted AI suppliers, the lack of knowledge in AI, and\n the lack of identification of business topics and strategies where AI could be\n implemented in the organization. By using the portal and describing a specific way to\n validate suppliers, which will also be the subject of this article, SMEs can count on\n programmatic support in applying AI to business operations. During the implementation of\n this tool in Poland, the author of the publication focused on entrepreneurs who do not\n use technologies or the possible implementation of technologies raises many questions\n (for example, of a legal nature), and thus blocks the possibility of possible\n implementation. The article will indicate how AI solution providers are added\n (assessment list), how SMEs can find out their level of implementation, as well as what\n recommendations for changes to the portal have come from each side so as to ensure the\n best possible functioning of this portal in the Polish market, thus addressing the\n research and implementation problem of the PhD.","PeriodicalId":383834,"journal":{"name":"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\n Intelligence and Future Applications","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\n Intelligence and Future Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe1002936","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article is part of a doctoral dissertation, the aim of which is to implement
the Policy for the Development of Artificial Intelligence from 2020 in Poland by
modelling and implementing program activities to support the implementation of new
technologies in the small and medium-sized enterprise sector (SME), along with their
cyclical monitoring and validation. The doctoral thesis assumes that the realization of
the goal will be carried out through the collection and production of a set of good
practices that will support and facilitate the implementation of solutions based on
artificial intelligence for SME, as well as their popularization in this group, which
will fill the implementation gap (lack of addressing the needs of this target group) and
the research gap (description of program mechanisms addressing the problems of policy
implementation). For this purpose, a platform provided by the Global Partnership on
Artificial Intelligence in the form of a website is being used and adapted in Polish
market, where an entrepreneur will be able to easily validate his or her level of
maturity and can see what technologies are adequate for implementation in his or her
enterprise. The conceptual work on the portal identified three main challenges facing
SMEs: the difficulty in finding trusted AI suppliers, the lack of knowledge in AI, and
the lack of identification of business topics and strategies where AI could be
implemented in the organization. By using the portal and describing a specific way to
validate suppliers, which will also be the subject of this article, SMEs can count on
programmatic support in applying AI to business operations. During the implementation of
this tool in Poland, the author of the publication focused on entrepreneurs who do not
use technologies or the possible implementation of technologies raises many questions
(for example, of a legal nature), and thus blocks the possibility of possible
implementation. The article will indicate how AI solution providers are added
(assessment list), how SMEs can find out their level of implementation, as well as what
recommendations for changes to the portal have come from each side so as to ensure the
best possible functioning of this portal in the Polish market, thus addressing the
research and implementation problem of the PhD.