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本文引用的文献

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Glob J Flex Syst Manag. 2021;22(2):95-112. doi: 10.1007/s40171-021-00262-0. Epub 2021 Mar 10.
2
Innovation and possible long-term impact driven by COVID-19: Manufacturing, personal protective equipment and digital technologies.由新冠疫情驱动的创新及可能产生的长期影响:制造业、个人防护装备与数字技术
Technol Soc. 2021 May;65:101541. doi: 10.1016/j.techsoc.2021.101541. Epub 2021 Feb 27.
3
Customer engagement design during the COVID 19 pandemic, mutual trust and intelligent automation: a conceptual perspective.新冠疫情期间的客户参与设计、互信与智能自动化:概念视角
J Innov Entrep. 2022;11(1):32. doi: 10.1186/s13731-022-00222-7. Epub 2022 Mar 5.
4
Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19.应用人工智能与用户满意度:新冠疫情期间孟加拉国智能手表在医疗保健中的应用
Technol Soc. 2021 Nov;67:101780. doi: 10.1016/j.techsoc.2021.101780. Epub 2021 Oct 14.
5
Robots and risk of COVID-19 workplace contagion: Evidence from Italy.机器人与新冠病毒工作场所传播风险:来自意大利的证据。
Technol Forecast Soc Change. 2021 Dec;173:121097. doi: 10.1016/j.techfore.2021.121097. Epub 2021 Aug 7.
6
A conceptual framework of the service delivery system design for hospitality firms in the (post-)viral world: The role of service robots.后疫情时代酒店企业服务交付系统设计的概念框架:服务机器人的作用
Int J Hosp Manag. 2020 Oct;91:102661. doi: 10.1016/j.ijhm.2020.102661. Epub 2020 Sep 15.
7
Will COVID-19 be the tipping point for the Intelligent Automation of work? A review of the debate and implications for research.新冠疫情会成为工作智能自动化的转折点吗?对相关争论及研究意义的综述。
Int J Inf Manage. 2020 Dec;55:102182. doi: 10.1016/j.ijinfomgt.2020.102182. Epub 2020 Jul 16.
8
PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation.PRISMA 扩展用于范围审查 (PRISMA-ScR): 清单和解释。
Ann Intern Med. 2018 Oct 2;169(7):467-473. doi: 10.7326/M18-0850. Epub 2018 Sep 4.
9
A scoping review of scoping reviews: advancing the approach and enhancing the consistency.范围综述的范围综述:推进方法并提高一致性。
Res Synth Methods. 2014 Dec;5(4):371-85. doi: 10.1002/jrsm.1123. Epub 2014 Jul 24.
10
Enhancing the scoping study methodology: a large, inter-professional team's experience with Arksey and O'Malley's framework.强化范围研究方法学:一个大型跨专业团队对阿斯基和奥马利框架的应用经验。
BMC Med Res Methodol. 2013 Mar 23;13:48. doi: 10.1186/1471-2288-13-48.

凸显人工智能在新冠疫情危机期间商业领域的作用。

Highlighting artificial intelligence roles in business area Amid the COVID-19 crisis.

作者信息

Aziki Abdellatif, Fadili Moulay Hachem

机构信息

Research Laboratory in Entrepreneurship, Finance and Audit (LAREFA), Ibn ZOHR University, ENCG Agadir, Morocco.

出版信息

Procedia Comput Sci. 2022;203:450-455. doi: 10.1016/j.procs.2022.07.060. Epub 2022 Aug 12.

DOI:10.1016/j.procs.2022.07.060
PMID:35974967
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9374311/
Abstract

PURPOSE

The fast development of technology and data has fueled the use of artificial intelligence (AI) in the business area, but there has been no comprehensive review to guide and assess this evolution, especially in the context of Covid-19 crisis. Our objective is to highlight the nature and scale of AI research in the business area, during the COVID-19 Pandemic.

METHODS

We performed a scoping review and searched two literature databases (Scopus and MDPI) for terms related to AI and Covid-19 by focusing on scientific papers published in the field of business. We used multiple tools (Endnote, Covidence) for titles and abstracts selection, followed by full-text screening. The studies must include research on artificial intelligence and Covid-19, and then be published in English-language, between March 2020 and March 2022.

RESULTS

31 studies met eligibility criteria (of 391 studies selected). Most of the published articles refer to conceptual analysis or quantitative works, the rest of the articles used a literature review except 4 articles published using a qualitative method of analysis. In addition, we observe an evolution of the total number of publications for the 31 articles included in the analysis.

CONCLUSIONS

Studying AI in the business field amid the covid-19 crisis is at an early stage of maturity, especially with the use of new AI technologies.). For the field to progress, more studies are needed in the next few years.

摘要

目的

技术和数据的快速发展推动了人工智能(AI)在商业领域的应用,但目前尚无全面的综述来指导和评估这一发展,尤其是在新冠疫情危机的背景下。我们的目标是突出新冠疫情大流行期间商业领域人工智能研究的性质和规模。

方法

我们进行了一项范围综述,通过聚焦商业领域发表的科学论文,在两个文献数据库(Scopus和MDPI)中搜索与人工智能和新冠疫情相关的术语。我们使用多种工具(Endnote、Covidence)进行标题和摘要筛选,随后进行全文筛选。这些研究必须包括关于人工智能和新冠疫情的研究,且于2020年3月至2022年3月期间以英文发表。

结果

31项研究符合入选标准(从391项所选研究中)。大多数已发表文章涉及概念分析或定量研究,其余文章采用文献综述,只有4篇文章采用定性分析方法发表。此外,我们观察到分析中所纳入的31篇文章的发表总数呈现出一种变化趋势。

结论

在新冠疫情危机期间,商业领域的人工智能研究尚处于早期成熟阶段,尤其是在新人工智能技术的应用方面。为推动该领域发展,未来几年需要更多的研究。