制造业中的反馈效果:使用智能手表技术的现场实验

IF 6.5 2区 管理学 Q1 MANAGEMENT
Daniel Kwasnitschka, Henrik Franke, Torbjørn H. Netland
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引用次数: 0

摘要

我们研究了制造业通过新数字技术向一线工人提供绩效反馈的影响。我们的研究发生在一家全球运营的制造公司,该公司采用智能手表对车间进行实时控制。在一项大规模、多地点的现场实验中,我们检查了 29,669 份机器状态报告,以评估通过智能手表向工人提供近乎实时的反馈对生产率的影响。我们借鉴构想级理论及其核心思想--心理距离,提出了我们的假设。首先,我们观察没有反馈的生产情况,以建立处理组之间的可比性。随后,我们在两家制造工厂的四个不同区域为工人分配不同的反馈组合。我们操纵反馈是针对个人的心理距离较近的反馈("你做了......"),还是针对团队的心理距离相对较远的反馈("你们团队做了......")。此外,我们还改变了信息的框架:积极的框架强调已完成的任务,而消极的框架强调未完成的任务。我们的研究结果表明,直接针对个人的正面反馈比其他反馈组合更能提高工作效率。我们的研究为快节奏和高度自动化的批量生产环境中反馈框架与目标之间的相互作用提供了新的理论见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Effects of feedback in manufacturing: A field experiment using smartwatch technology

Effects of feedback in manufacturing: A field experiment using smartwatch technology

We investigate the impact of performance feedback delivered to front-line workers through new digital technologies in the manufacturing sector. Our study takes place in a globally operating manufacturing company that employs smartwatches for real-time control on the shop floor. In a large-scale and multi-site field experiment, we examine 29,669 machine status reports to assess the productivity effects of providing near real-time feedback to workers via smartwatches. We develop our hypotheses drawing on construal-level theory and its central idea of psychological distance. Initially, we observe production without feedback to establish comparability between treatment groups. Subsequently, we allocate various combinations of feedback to workers in four separate areas in two manufacturing plants. We manipulate whether the feedback is targeted at individuals with psychologically close feedback (“you did…”) or targeted at the team with relatively psychologically distant feedback (“your team did…”). Furthermore, we vary the message framing: positive framing emphasizes completed tasks, while negative framing emphasizes unfinished tasks. Our findings indicate that positively framed feedback, targeting individuals directly, enhances productivity more than other feedback combinations. Our study contributes new theoretical insights into the interplay between feedback framing and targets in fast-paced and highly automated batch production environments.

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来源期刊
Journal of Operations Management
Journal of Operations Management 管理科学-运筹学与管理科学
CiteScore
11.00
自引率
15.40%
发文量
62
审稿时长
24 months
期刊介绍: The Journal of Operations Management (JOM) is a leading academic publication dedicated to advancing the field of operations management (OM) through rigorous and original research. The journal's primary audience is the academic community, although it also values contributions that attract the interest of practitioners. However, it does not publish articles that are primarily aimed at practitioners, as academic relevance is a fundamental requirement. JOM focuses on the management aspects of various types of operations, including manufacturing, service, and supply chain operations. The journal's scope is broad, covering both profit-oriented and non-profit organizations. The core criterion for publication is that the research question must be centered around operations management, rather than merely using operations as a context. For instance, a study on charismatic leadership in a manufacturing setting would only be within JOM's scope if it directly relates to the management of operations; the mere setting of the study is not enough. Published papers in JOM are expected to address real-world operational questions and challenges. While not all research must be driven by practical concerns, there must be a credible link to practice that is considered from the outset of the research, not as an afterthought. Authors are cautioned against assuming that academic knowledge can be easily translated into practical applications without proper justification. JOM's articles are abstracted and indexed by several prestigious databases and services, including Engineering Information, Inc.; Executive Sciences Institute; INSPEC; International Abstracts in Operations Research; Cambridge Scientific Abstracts; SciSearch/Science Citation Index; CompuMath Citation Index; Current Contents/Engineering, Computing & Technology; Information Access Company; and Social Sciences Citation Index. This ensures that the journal's research is widely accessible and recognized within the academic and professional communities.
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