Blessed be intelligent assistance systems at high task rotation? The effect on motivational work design in assembly

IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2023-12-14 DOI:10.1002/hfm.21021
Marvin Walczok, Tanja Bipp
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Abstract

We aimed to provide causal evidence on the contradictory effects of projection-based intelligent assistance systems (IASs) for nine motivational work characteristics (MWCs). IASs are increasingly implemented in assembly to counteract rising cognitive workload due to individualized manufacturing processes. However, how IASs enhance or restrict MWCs is largely unknown. We conducted two studies with experimental vignette methodology. In Study 1 (N1 = 169 German employees), we manipulated an assembly workplace (with IAS vs. without IAS) and tested whether findings indicating only positive effects of IASs in the support of a simple assembly process can be transferred to more complex assembly processes. In Study 2 (N2 = 176 German employees), we manipulated again the assembly workplace (with IAS vs. without IAS) and in addition the dynamic of product changes (task rotation after 1 h vs. no task rotation). Analyzing the data with SPSS 27, we found increased feedback from job and information processing and decreased work scheduling, decision-making, and work methods autonomy when working with IAS. In Study 2, we did not find the main or interaction effects of task rotation on MWCs. Our experimental evidence suggests that working with IASs represents a double-edged sword regarding MWCs and that the effect of task rotation is limited. Hence, our results provide vital theoretical implications for a much-needed work design theory that delineates how new technologies shape work design and practical implications for modern assembly.

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任务轮换频繁时智能辅助系统是否有福?对装配中激励性工作设计的影响
我们旨在为基于投影的智能辅助系统(IAS)对九种激励性工作特征(MWC)的矛盾影响提供因果证据。智能辅助系统越来越多地应用于装配领域,以应对个性化制造流程导致的认知工作量增加。然而,智能辅助系统如何增强或限制工作特征在很大程度上还不为人所知。我们采用实验小插图方法进行了两项研究。在研究 1(N1 = 169 名德国员工)中,我们操纵了一个装配工作场所(有 IAS 与无 IAS),并测试了 IAS 在支持简单装配过程中仅产生积极影响的研究结果是否可以应用到更复杂的装配过程中。在研究 2(N2 = 176 名德国员工)中,我们再次对装配工作场所(有 IAS 与无 IAS)以及产品变化的动态(1 小时后的任务轮换与无任务轮换)进行了操作。通过使用 SPSS 27 对数据进行分析,我们发现在使用 IAS 的情况下,来自工作和信息处理的反馈增加了,而工作安排、决策和工作方法的自主性降低了。在研究 2 中,我们没有发现任务轮换对 MWCs 的主效应或交互效应。我们的实验证据表明,与 IAS 一起工作对 MWCs 来说是一把双刃剑,任务轮换的影响是有限的。因此,我们的研究结果为我们急需的工作设计理论提供了重要的理论依据,该理论阐述了新技术如何塑造工作设计以及对现代装配的实际影响。
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来源期刊
CiteScore
5.20
自引率
8.30%
发文量
37
审稿时长
6.0 months
期刊介绍: The purpose of Human Factors and Ergonomics in Manufacturing & Service Industries is to facilitate discovery, integration, and application of scientific knowledge about human aspects of manufacturing, and to provide a forum for worldwide dissemination of such knowledge for its application and benefit to manufacturing industries. The journal covers a broad spectrum of ergonomics and human factors issues with a focus on the design, operation and management of contemporary manufacturing systems, both in the shop floor and office environments, in the quest for manufacturing agility, i.e. enhancement and integration of human skills with hardware performance for improved market competitiveness, management of change, product and process quality, and human-system reliability. The inter- and cross-disciplinary nature of the journal allows for a wide scope of issues relevant to manufacturing system design and engineering, human resource management, social, organizational, safety, and health issues. Examples of specific subject areas of interest include: implementation of advanced manufacturing technology, human aspects of computer-aided design and engineering, work design, compensation and appraisal, selection training and education, labor-management relations, agile manufacturing and virtual companies, human factors in total quality management, prevention of work-related musculoskeletal disorders, ergonomics of workplace, equipment and tool design, ergonomics programs, guides and standards for industry, automation safety and robot systems, human skills development and knowledge enhancing technologies, reliability, and safety and worker health issues.
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