持续改进实现模型:协调和整体元模型

IF 6.1 3区管理学 Q1 ENGINEERING, INDUSTRIAL

Production Planning & Control Pub Date : 2021-09-20 DOI:10.1080/09537287.2021.1974114

B. Lameijer, H. Boer, J. Antony, R. Does

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引用次数: 8

摘要

本文的目的是回顾和汇总现有的持续改进(CI)实施模型的指导。从从业者和学术文献中收集了最终27个实现模型的样本。使用包括组织维度、时间阶段、准备因素、活动和可持续性因素在内的研究框架，对模型的质量和完整性进行评估，得出415个编码观察结果。随后，将这27个实现模型集成到一个整体元模型中，提供迄今为止现有CI部署指导的详细说明。基于元模型，确定了实施过程的知识差距，并提出了未来研究的详细需求。因此，学术界反复呼吁提供更好、更科学的实施指导。

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Continuous improvement implementation models: a reconciliation and holistic metamodel

Abstract The purpose of this paper is to review and aggregate the guidance for continuous improvement (CI) implementation from existing implementation models. A sample of ultimately 27 implementation models is collected from the practitioner and academic literature. The models are assessed on quality and completeness using a research framework comprising organizational dimensions, phases in time, readiness factors, activities, and sustainability factors, leading to 415 coded observations. Subsequently, these 27 implementation models are integrated with one holistic metamodel, providing a detailed account of the existing CI deployment guidance to date. Based on the metamodel, knowledge gaps about implementation processes are identified and detailed needs for future research are presented. Thereby, repeated scholarly calls for better and more scientifically proven implementation guidance is addressed.

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来源期刊

Production Planning & Control 管理科学-工程：工业

CiteScore

19.30

自引率

9.60%

发文量

审稿时长

6-12 weeks

期刊介绍： Production Planning & Control is an international journal that focuses on research papers concerning operations management across industries. It emphasizes research originating from industrial needs that can provide guidance to managers and future researchers. Papers accepted by "Production Planning & Control" should address emerging industrial needs, clearly outlining the nature of the industrial problem. Any suitable research methods may be employed, and each paper should justify the method used. Case studies illustrating international significance are encouraged. Authors are encouraged to relate their work to existing knowledge in the field, particularly regarding its implications for management practice and future research agendas.