The influence of digital technologies on resilient performance: Contributions, drawbacks, and a research agenda

IF 3.1 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Tarcisio Abreu Saurin , Riccardo Patriarca , Sudeep Hegde , Mike Rayo
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Abstract

The growing use of digital technologies (DTs) has a myriad of implications to socio-technical systems, which are not yet fully recognised. This paper investigates the contributions and drawbacks of DTs to resilient performance (RP), an aspect that so far has received less attention in comparison to others such as efficiency. To this end, a survey questionnaire was applied to 79 academics and practitioners linked to resilience engineering. Data analysis involved descriptive statistics and a thematic analysis of the open-text responses to the survey. Mixed impacts were identified, with 10 themes related to contributions and 16 to drawbacks. Regarding the contributions, the results highlighted the use of DTs for monitoring and anticipating system performance. Machine learning seems to be the most promising approach for this purpose. A key drawback is the need for developing new skills across the workforce so that they can make sense of the outputs of DTs and are aware of their strengths and weaknesses. The human role is expected to remain crucial for RP, which makes the current coordination difficulties with DTs even more important to address. A research agenda composed of five topics is proposed, encompassing description, prescription, and assessment. The agenda emphasizes the need for mapping the attributes or functionalities of DTs onto resilience concepts, models, and frameworks.

数字技术对抗灾能力的影响:贡献、缺点和研究议程
数字技术(DTs)的应用日益广泛,对社会技术系统产生了无数影响,但这些影响尚未得到充分认识。本文研究了数字技术对弹性性能(RP)的贡献和弊端,与效率等其他方面相比,弹性性能迄今为止受到的关注较少。为此,我们向 79 名与抗灾工程相关的学者和从业人员发放了调查问卷。数据分析包括描述性统计和对调查的开放文本答复进行主题分析。确定了混合影响,其中 10 个主题与贡献有关,16 个主题与弊端有关。关于贡献,结果强调了使用数据传输技术来监测和预测系统性能。在这方面,机器学习似乎是最有前途的方法。一个主要的缺点是需要在员工队伍中开发新的技能,以便他们能够理解 DTs 的输出,并了解其优缺点。预计人的作用对于研究与计划仍然至关重要,这就使得目前与 DTs 的协调困难更加需要解决。我们提出了一个由五个主题组成的研究议程,包括描述、规定和评估。该议程强调有必要将危险因素的属性或功能映射到复原力概念、模型和框架中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Ergonomics
Applied Ergonomics 工程技术-工程:工业
CiteScore
7.50
自引率
9.40%
发文量
248
审稿时长
53 days
期刊介绍: Applied Ergonomics is aimed at ergonomists and all those interested in applying ergonomics/human factors in the design, planning and management of technical and social systems at work or leisure. Readership is truly international with subscribers in over 50 countries. Professionals for whom Applied Ergonomics is of interest include: ergonomists, designers, industrial engineers, health and safety specialists, systems engineers, design engineers, organizational psychologists, occupational health specialists and human-computer interaction specialists.
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