基于人工智能的可持续社会数字化转型:2019冠状病毒病危机的普遍影响

IF 2.4 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pacific Asia Journal of the Association for Information Systems Pub Date : 2022-01-01 DOI:10.17705/1pais.14201
A. Tarhini, A. Harfouche, M. Marco
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引用次数: 22

摘要

数字化转型(DT)正在成为世界各地不同行业企业的必需品。随着新型冠状病毒感染症(COVID-19)的扩散,DT的必要性变得不可避免。2020年3月,世界卫生组织宣布2019冠状病毒病为全球大流行,造成数千人死亡,给世界带来巨大经济负担。(世界卫生组织,2020年)这次大流行加速了组织利用广泛的数字化进行转型的需求,以应对前所未有的变化(Morgan, 2020)。然而,当涉及到建议必要的变化以实现数字飞跃时,这些组织仍然遇到重大障碍。在当今人工智能时代,数字化转型对整个社会产生了巨大影响(Nambisan, 2019;乔治和保罗,2020;Majchrzak, Markus, Wareham, 2016);组织需要认识到,数字化转型和人工智能必须齐头并进,以帮助实现繁荣的数字化转型(Wuest et al., 2020)。因此,成为数字化企业不仅仅是投资最新的数字技术。它是关于采用人工智能来支持商业战略(Joda等人,2020),寻找新的商业模式(Kotarba, 2018),并重新考虑如何将社会影响嵌入到衡量业务成功的标准中。
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Artificial Intelligence-Based Digital Transformation for Sustainable Societies: The Prevailing Effect of COVID-19 Crises
Digital transformation (DT) is becoming a necessity for enterprises in different industries all over the world. The necessity for DT turned out to be inevitable with the coronavirus (COVID-19) outbreak. On March 2020, the World Health Organization (WHO) announced the COIVD-19 as global pandemic that caused thousands of deaths and brought the world to a standstill with huge economic burden (World Health Organization, 2020). This pandemic accelerated the need for organizations to transform using extensive digitization in response to the unprecedented change (Morgan, 2020). However, significant obstacles still encounter these organizations when it comes to recommending the necessary changes to make the digital leap. In today’s artificial intelligence age, digital transformation has enormous impact across societies (Nambisan, 2019; George & Paul, 2020; Majchrzak, Markus, Wareham, 2016); organizations need to realize that both digital transformation and artificial intelligence have to go hand in hand to help achieve prosperous digital transformation (Wuest et al., 2020). Therefore, becoming a digital enterprise is much more than investing in latest digital technologies. It is about adopting artificial intelligence to support the business strategy (Joda et al. 2020), searching for new business models (Kotarba, 2018), and considering afresh how to embed the social impact in the measure of the success of the business.
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33.30%
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