عنوان انگلیسی مقاله:
Drivers, barriers and social considerations for AI adoption in business and management: A tertiary study
ترجمه فارسی عنوان مقاله:
رانندگان ، موانع و ملاحظات اجتماعی برای پذیرش هوش مصنوعی در تجارت و مدیریت: یک مطالعه عالی
Sciencedirect - Elsevier - Technology in Society, 62 (2020) 101257. doi:10.1016/j.techsoc.2020.101257
The number of academic papers in the area of Artificial Intelligence (AI) and its applications across business and
management domains has risen significantly in the last decade, and that rise has been followed by an increase in
the number of systematic literature reviews.
The aim of this study is to provide an overview of existing systematic reviews in this growing area of research
and to synthesise the findings related to drivers, barriers and social implications of the AI adoption in business
The methodology used for this tertiary study is based on Kitchenham and Charter’s guidelines , resulting
in a selection of 30 reviews published between 2005 and 2019 which are reporting results of 2021 primary
These reviews cover the AI adoption across various business sectors (healthcare, information technology,
energy, agriculture, apparel industry, engineering, smart cities, tourism and transport), management and business
functions (HR, customer services, supply chain, health and safety, project management, decision-support,
systems management and technology adoption).
While the drivers for the AI adoption in these areas are mainly economic, the barriers are related to the
technical aspects (e.g. availability of data, reusability of models) as well as the social considerations such as,
increased dependence on non-humans, job security, lack of knowledge, safety, trust and lack of multiple
Very few reviews outside of the healthcare management domain consider human, organisational and wider
societal factors of the AI adoption.
In addition to increased focus on social implications of AI, the reviews are recommending more rigorous
evaluation, increased use of hybrid solutions (AI and non-AI) and multidisciplinary approach to AI design and
Furthermore, this study found that there is a lack of systematic reviews in some of the early AI adoption sectors
such as financial industry and retail.
Keywords: Artificial intelligence | Business | Machine learning | Management | Systematic literature review | Tertiary study