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开发和验证一种用于测量和管理组织过程多样性的工具。

Development and validation of an instrument to measure and manage organizational process variety.

机构信息

Institute of Information Systems, University of Liechtenstein, Vaduz, Principality of Liechtenstein.

Faculty of Management, Economics and Social Sciences, The University of Cologne, Cologne, Germany.

出版信息

PLoS One. 2018 Oct 23;13(10):e0206198. doi: 10.1371/journal.pone.0206198. eCollection 2018.

DOI:10.1371/journal.pone.0206198
PMID:30352104
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6198977/
Abstract

Organizational processes vary. Practitioners have developed simple frameworks to differentiate them. Surprisingly, the academic literature on process management does not-it typically strives for one method to manage all processes. We draw on organizational information-processing theory to systematically develop a new, theoretically motivated classification model for organizational processes. We validate this model using survey data from 141 process practitioners of a global corporation. We derive three distinct types of processes and demonstrate that an understanding of process variety based on process dimensions can differentiate processes better than existing frameworks used in practice. Our findings can enable process managers to make informed decisions and serve as a basis for contingent process management.

摘要

组织结构流程各异。从业者们已经开发出了简单的框架来区分它们。令人惊讶的是,学术文献中关于流程管理的内容却并非如此——它通常力求用一种方法来管理所有流程。我们借鉴组织信息处理理论,系统地为组织流程开发了一个新的、有理论依据的分类模型。我们使用来自全球一家公司的 141 名流程从业者的调查数据对该模型进行了验证。我们得出了三种不同类型的流程,并证明了基于流程维度的对流程多样性的理解可以比实践中使用的现有框架更好地区分流程。我们的研究结果可以使流程经理做出明智的决策,并为权变的流程管理提供基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c8d/6198977/66101defcdca/pone.0206198.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c8d/6198977/f29ccba74e8d/pone.0206198.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c8d/6198977/b9cb47f87f8f/pone.0206198.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c8d/6198977/66101defcdca/pone.0206198.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c8d/6198977/f29ccba74e8d/pone.0206198.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c8d/6198977/b9cb47f87f8f/pone.0206198.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c8d/6198977/66101defcdca/pone.0206198.g003.jpg

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The measurement of observer agreement for categorical data.分类数据观察者一致性的测量。
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