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Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review

机译：可持续发展目标的人工智能和商业模式观点：系统文献综述

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This paper investigates the literary corpus on the role of Artificial Intelligence (AI) in the construction of sustainable business models (SBMs). It provides a quantitative overview of the academic literature that constitutes the field. The paper discusses the relationships between AI and rapid developments in machine learning and sustainable development (SD). Specifically, the aim is to understand whether this branch of computer science can influence production and consumption patterns to achieve sustainable resource management according to Sustainable Development Goals (SDGs) outlined in the UN 2030 Agenda. Moreover, the paper aims to highlight the role of Knowledge Management Systems (KMS) in the cultural drift toward the spread of AI for SBMs. Despite the importance of the topic, there is no comprehensive review of the AI and SBM literature in light of SDGs. Based on a database containing 73 publications in English with publication dates from 1990 to 2019, a bibliometric analysis is conducted. The findings show that the innovation challenge involves ethical, social, economic, and legal aspects. Thus, considering that the development potential of AI is linked to the UN 2030 Agenda for SD, especially to SDG#12, our results also outline the framework of the existing literature on AI and SDGs, especially SDG#12, including AI's association with the cultural drift (CD) in the SBMs. The paper highlights the key contributions, which are: i) a comprehensive review of the key underlying relationship between AI and SBMs, offering a holistic view as needed, ii) identifying a research gap regarding KMS through AI, and iii) the implications of AI concerning SDG#12. Academic and managerial implications are also discussed regarding KMS in the SBMs, where the AI can represent the vehicle to meet the SDGs allowing for the identification of the cultural change required by enterprises to achieve sustainable goals. Thus, business companies, academic research practitioners, and state policy should focus on the further development of the use of AI in SBMs.
机译：本文调查了人工智能（AI）在可持续业务模式（SBMS）建设中的作用中的文学核心。它提供了构成该领域的学术文献的定量概述。本文讨论了机器学习与可持续发展中AI和快速发展的关系（SD）。具体而言，目的是要了解计算机科学的这一分支是否可以影响生产和消费模式，以便根据联合国2030年议程中概述的可持续发展目标（SDGS）来实现可持续资源管理。此外，该文件旨在突出知识管理系统（KMS）对SBMS蔓延的文化漂移的作用。尽管对该主题的重要性，但鉴于SDGS没有全面审查AI和SBM文献。根据1990年至2019年的出版日期的包含73个出版物的数据库，进行了一项生物计量分析。调查结果表明，创新挑战涉及道德，社会，经济和法律方面。因此，考虑到AI的发展潜力与UN 2030的SD议程联系起来，特别是SDG＃12，我们的结果还概述了AI和SDGS上现有文献的框架，特别是SDG＃12，包括AI与AI的联系SBMS中的文化漂移（CD）。本文突出了主要贡献，即：i）全面审查AI和SBM之间的关键潜在关系，根据需要提供全面的观点，ii）通过AI和III）识别AI的KMS的研究差异关于SDG＃12。关于SBMS的KMS还讨论了学术和管理的影响，AI可以代表车辆满足SDG，允许确定企业所需的文化变革以实现可持续目标。因此，商业公司，学术研究从业者和国家政策应专注于在SBMS中使用AI的进一步发展。

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